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The food industry is faced with a significant challenge in maintaining the viability and stability of probiotics during processing and in model food. Encapsulation technology offers a promising solution to this issue. This study was aimed to investigate the effect of Sodium Alginate (SA) and arabinoxylan (AX) composite encapsulation on the viability & stability of Lactobacillus rhamnosus GG. The AX was extracted from maize and characterized, and then the SA-AX composite was used to encapsulate the probiotics. The resulting microbeads were analyzed for their morphological, molecular, and physicochemical properties. The MAX-SA microbeads demonstrated the highest efficiency at 97.9 ± 0.6%, followed by MAX at 95 ± 1.5% and SA at 92 ± 1.4%. The FTIR spectra revealed specific functional groups in the samples. The MAX-SA and MSA matrices had a dispersed structure, while the MAX matrix had a smooth microstructure. The microcapsules had an average size ranging from 718 ± 2 mm to 734 ± 2 mm. The viability of the encapsulated probiotics was assessed under storage conditions, simulated gastrointestinal conditions, and model food. Encapsulated probiotics showed higher viability than free probiotics in simulated gastrointestinal conditions, and pineapple juice fortified with encapsulated probiotics showed a higher probiotic count. Overall, the study found that MAX-SA was the most effective in maintaining probiotic viability under stressed conditions.

Abstract Background Nonspecific neck pain (NSNP) is a well-established global burden affecting. It is also a common problem in Pakistan. The burden of neck pain is also increasing day by day due to poor work ergonomics, and increased use of computers and mobiles after the pandemic. An individual’s poor posture is often associated with forward head posture (FHP). Limited evidence is available about the effects of neck stabilization (NSE) and dynamic exercises (NDE) for nonspecific neck pain particularly in patients with FHP. This aimed to compare the effects of NSE versus NDE among patients having NSNP with FHP in reducing pain, disability, forward head posture and improving neck range of motion. Methods It is a single-blinded randomized clinical trial with 60 patients aged 18–40 years, with moderate intensity NSNP for > 3 weeks and 0.05) for post-treatment mean VAS, neck ROM, NDI and plumb line measurement. Conclusion Between NSE and NDE, no one is more beneficial than another. Both are equally effective in alleviating pain, increasing ROM, decreasing functional disability, and improving forward head posture in patients with NSNP. Trial Registration Registered trial at ClinicalTrials.gov Identifier: NCT05298631, 28/03/2022, prospectively registered.

Autonomous transportation systems have the potential to greatly impact the way we travel. A vital aspect of these systems is their connectivity, facilitated by intelligent transport applications. However, the safety ensured by the vehicular network can be easily compromised by malicious traffic with the exponential growth of IoT devices. One aspect is malicious traffic identification in Vehicular networks. We proposed a hybrid approach uses automated feature engineering via correlation-based feature selection (CFS) and principal component analysis (PCA)-based dimensionality reduction to reduce feature matrix size before a series of dense layers are used for classification. The intended use of CFS and PCA in the machine learning pipeline serves two folds benefit, first is that the resultant feature matrix contains attributes that are most useful for recognizing malicious traffic, and second that after CFS and PCA, the feature matrix has a smaller dimensionality which in turn means that smaller number of weights need to be trained for the dense layers (connections are required for the dense layers) which resulting in smaller model size. Furthermore, we show the impact of post-training model weight quantization to further reduce the model size. Results demonstrate the effectiveness of feature engineering which improves the classification f1score from 96.48% to 98.43%. It also reduces the model size from 28.09 KB to 20.34 KB thus optimizing the model in terms of both classification performance and model size. Post-training quantization further optimizes the model size to 9 KB. The experimental results using CICIDS2017 dataset demonstrate that proposed hybrid model performs well not only in terms of classification performance but also yields trained models that have a low parameter count and model size. Thus, the proposed low-complexity models can be used for intrusion detection in VANET scenario.

Triglyceride (TG) buildup in the liver is a hallmark of the metabolic disorder of non-alcoholic fatty liver disease (NAFLD). The four pathogenic categories mainly followed by the NAFLD pathway are hepatocellular carcinoma, non-alcoholic steatosis, steatohepatitis, and progressive fibrosis or cirrhosis. The likelihood of developing NAFLD rises with obesity and insulin resistance. Aging, gender, culture, and ethnicity are all associated with NAFLD, which substantially correlates to liver disorders in both kids and adults. It is prevalent throughout all age ranges. Visceral obesity appears to be exacerbated by poor lifestyle choices such as hypercaloric diets, particularly those high in trans-fat or saturated fat and cholesterol, and sugar-sweetened beverages. Decreasing calorie intake, boosting soy protein and whey ingestion, supplementing with monounsaturated fats, omega-3 fatty acids, and fiber, and changing one’s lifestyle are the initial steps in managing this condition. Polyphenolic substances also have both therapeutic and preventative benefits. Activity and exercise that promotes weight loss and lessen liver fat formation are just as important as maintaining a balanced diet. The patients turn into susceptible to liver transplantation owing to improper concern (the end stage of NAFLD). Examining the impact of nutrition on nonalcoholic fatty liver disease (NAFLD) is the goal of this review. Included in this is a result of an unbalanced intake of macronutrients. The pathogenesis of NAFLD involves nutrition. Individuals with NAFLD must be recommended to restrict calorie consumption and set intake limits when following low-fat/carbohydrate diets.

Food safety assurance systems are growing increasingly strict in both industrialized and developing nations as a result of increased, both real and perceived food safety concerns. This is happening as a result of developments in both public (such as direct regulation and product liability) and private (such as self and third-party certification) quality control systems. This study assessed the microbial safety, heavy metals contamination, and sensorial characteristics of beef seekh kababs made by local and branded restaurants in Faisalabad. A total of 24 samples were collected from four regions (R1 Lyallpur town, R2 Madina town, R3 Jinnah town, and R4 Iqbal town) of Faisalabad, and analyzed. Physicochemical parameters including moisture, fat, pH, ash, proteins and color (L*, b* and a*), microbiological parameters such as total plate count (TPC), total Coliform count (TCC), E. coli O157:H7, and heavy metals (Cd, Fe, Pb, and Zn) content were determined. Moreover, the lab supervisor and 18 food technology students, who had prior tasting experience, conducted sensory tests on the samples. They evaluated the samples right after they reached the laboratory, before any other analyses. Results showed that the R2 (Local) sample had the significantly (p

Honey is a prebiotic food that has many health benefits. Honey contains oligosaccharides that can be used to protect sensitive bioactive compounds. The purpose of this study was to see how encapsulation affects the survival of probiotics under different conditions. L. rhamnosus GG was encapsulated with sodium alginate and honey. The study had three treatments: free probiotics (control), encapsulated probiotics with sodium alginate (MWS) and encapsulated probiotics with honey (MWH). The microcapsules were analyzed using morphology, scanning electron microscopy (SEM), and Fourier transform infrared spectroscopy (FT-IR). The survival of both free and encapsulated probiotics was tested under simulated gastrointestinal conditions and high temperatures. Encapsulation with honey had significantly higher encapsulation efficiency (97%) and the probiotics encapsulated with honey had a higher survival rate compared to free cells. In conclusion, adding honey to encapsulated probiotics can improve their viability and stability under stressful conditions.

The aim of this study was to investigate the effects of different encapsulation materials, namely Sodium alginate, Whey protein isolate, Kappa-carrageenan, and Citrus pectin, on the viability and stability of probiotics. The probiotics were encapsulated using the internal gelation method and the resulting microbeads were measured for their size and encapsulation efficiency. The viability of Lactobacillus acidophilus, both free and encapsulated, was evaluated under gastric and intestinal conditions. The results revealed that all wall materials had a significant impact (p

Abstract Background The disability and significant economic costs accredited to Low back pain (LBP) are likely to rise which is an essential problem in low and middle-income countries like Pakistan. The associated factors of LBP are age, sex, and race including physical activity, high spinal load, lifting, bending, and twisting occupations. The literature highlighted there is substantial differences in associated factors of LBP within available studies in developing countries. The objective is to investigate the association of demographic factors and lumbar range of motion with disability in patients with chronic low back. Methods A baseline data analysis was performed as an analytical cross-sectional study among 150 patients with chronic low back in a randomized controlled trial with a duration from March 2020 and January 2021. After recording demographics, Modified-Modified Schober’s test was used to measure lumbar flexion and extension and Oswestry disability index for disability. After the descriptive analysis the continuous variables, age and pain were analyzed with Spearman’s correlation. Variables that were significant in bivariate analysis were then fitted in a multivariable linear regression. The Kruskal–Wallis test was used to analyze variations of disability in gender, marital status, work status, education level, and duration of pain. The p-value of 0.05 was significant. Results The results showed a significant correlation between age and pain in sitting (rh=-0.189, p = 0.021 and rh = 0.788, p 0.05). Conclusions The female gender and unmarried marital status are associated with functional disability. Decreased lumbar range of motion accompanies more disability, while age, education level, and work status do not effect on disability.

In Pakistan, Cervical cancer is a significant public health challenge. It has become the second most common cancer among women in their reproductive age. In cancer-related deaths, it has emerged as a leading cause of death. Regardless of the availability of tools for screening that are effective and within the approach of the general population, Pakistan still faces issues in the implementation of effective programs for Cervical cancer screening. There is an immediate need for the improvement of awareness regarding cervical cancer screening, its accessibility to the target population, and the provision of the infrastructure to support the screening program in healthcare settings. One of the key barriers to the implementation of an effective program for cervical cancer screening is the lack of widespread awareness among the general population in Pakistan. Studies conducted on cervical cancer screening awareness in Pakistan have shown that women in rural areas are unaware of cervical cancer morbidity and mortality. Their knowledge about its early management through screening is also minimal. According to a study conducted on Human Papillomavirus (HPV) vaccination coverage and public awareness in Pakistan showed that 70% of females are unfamiliar with cervical cancer terminology. They lack understanding of the importance of pap smears. There are insufficient health campaigns and their focus mostly lacks the marginalized population, where it is foremost important to aware females about early screening for the timely diagnosis of the disease [1]. Other barriers that also need the attention of the policymakers are unequal access to the screening services with more privileges to the females belonging to the urban settings than small towns and rural areas [2]. The affordability of screening services which hinders women in low-income families from accessing the screening is also a challenge to the cervical cancer screening program. Those females who are tested and have abnormal results further face challenges for proper follow-up treatment plans and lack of clarity about vaccination against HPV and its role in prevention against HPV types 16 and 18. There is a challenge of cultural barriers which also plays a significant role in the uptake of screening against cervical cancer. Taboos related to the causes of cervical cancer especially in young females and their reproductive health issues hinder the need to take preventive care within females belonging to the conservative communities [3]. Pakistan can improve its screening program against cervical cancer through rigorous work on the deficiencies that need the attention of Policymakers and their role in developing a robust program for the prevention of cervical cancer [4]. This may include integrating cervical cancer screening into routine healthcare services. This further needs a basic approach to first educate the females about cervical cancer, its risk factors like smoking and oral contraceptives, along with the early diagnosis. It is also important to run campaigns about how the early diagnosis of the disease can improve the health of females. Focusing on the dynamics of the rural areas of Pakistan it is important to create awareness and provision of screening services at the doorstep through mobile health clinics and satellite healthcare centers. This will provide a long-term solution for the accessibility issues in rural parts of the country [5]. Cervical cancer screening is a potential tool for the recognition of saving the lives of females in Pakistan. The efforts to address this issue have remained insufficient in Pakistan. The situation can be improved by creating a large population awareness especially targeting the underprivileged population, expanding the services to the communities to reduce accessibility issues, and developing policies to utilize follow-up treatment plan guidelines. Addressing these deficiencies calls for concerted work from policymakers, healthcare professionals, and the general population to affirm that every female has an approach to the preemptive care a female needs for her health.

Abstract Hylocereus undatus, occasionally referred to as the dragon fruit or white‐fleshed pitaya, is a rich in nutrients fruit appreciated because of its colorful look and health benefits. It is inexpensive in calories but packed with minerals like iron, magnesium, and calcium in addition to essential nutrients like vitamin C and B vitamins. Similarly rich in dietary fiber, particularly promotes gut wellness and improves digestion, is pitaya. It additionally contains antioxidants, such as phenolic compounds, flavonoids, and betalains, which help with scavenging free radicals and reducing the detrimental effects of oxidative stress on the human body. The substantial amount of betalains in Hylocereus undatus phytochemical composition is notable because it contributes to the plant's anti‐inflammatory and antioxidant properties. There has been an association among these phytochemicals and a decreased likelihood of contracting long‐term conditions such as diabetes, cancer, and cardiovascular disease. Omega‐3 fatty acids and omega‐6 fatty acids, in particular, that reduce cholesterol levels while improving blood circulation, are plentiful in the fruit's seeds and are beneficial to heart wellness. The objective of this review is to highlight the nutritional profile, phytochemical and health benefits of Hylocereus undatus in detail.

Background Tuberculosis (TB) remains one of the top infectious killers in the world and a prominent fatal disease in developing countries. This study proposes a prototypical solution to early prevention of TB based on its primary symptoms, signs, and risk factors, implemented by means of machine learning (ML) predictive algorithms. Further novelty of the study lies in the uniqueness of patient dataset collected from three top-ranked hospitals of Sindh, Pakistan, via a self-administered survey patient-records that comprises a set of questions asked by the doctors treating TB patients in real-time. A total of 1,200 survey patient-records were evenly distributed among all three hospitals, viz. ICT Kotri, LUMHS Jamshoro, and Civil Hospital Hyderabad. Methods To develop the required prototypes, the research made use of five distinct benchmark ML algorithms: decision tree (DT), Gaussian naive Bayes (GNB), logistic regression classifier (LRC), adaptive boosting (AdaBoost), and neural network (NN), whose performance was evaluated by considering various performance metrics, i.e., accuracy, precision, recall, F1 score, and confusion matrix. Results The experimental results, graphically visualized and systematically discoursed, demonstrate that early detection of TB classifiers, including DT, GNB, LRC, AdaBoost, and NN, attained accuracy rates of 92.11%, 89.04%, 90.35%, 93.42%, and 92.98%, respectively. These results indicate effective diagnosis of TB disease by each implemented ML algorithm.

Key Clinical Message Concurrent recurrence of acute disseminated encephalomyelitis (ADEM) and poststreptococcal glomerulonephritis (PSGN) in a thalassemia intermedia patient is rare and underscores the complexity of autoimmune disorders. This case emphasizes the importance of considering ADEM in the differential diagnosis of children presenting with PSGN accompanied by neurological symptoms. Abstract Post‐streptococcal glomerulonephritis (PSGN) is a common group A streptococcal (GAS) infection sequela. The pathophysiology of PSGN involves immune complex deposition, with type 3 hypersensitivity reaction triggered by GAS. Certain neurological conditions may also arise following a GAS infection, possibly due to molecular mimicry in the brain, a pathophysiology similar to rheumatic fever, another common sequel of GAS infection. We present the case of a child with β‐thalassemia intermedia who exhibited the classic triad (edema, hypertension, hematuria) of PSGN along with neurological manifestations, including a low glasgow coma scale (GCS) score and seizures. Magnetic resonance imaging (MRI) of the brain indicated changes consistent with acute disseminated encephalomyelitis (ADEM). Initially treated with methylprednisolone, the patient eventually received intravenous immunoglobulin (IVIG) due to lack of response. The patient had a good outcome, with complete resolution of all symptoms and no residual neurological deficits. This case underscores the importance of considering ADEM in the differential diagnosis for patients presenting with neurological signs and symptoms following a recent throat infection with GAS. Furthermore, given the increased risk of infection in thalassemia, patients with thalassemia who have a throat infection and neurological symptoms should be evaluated for the possible presence of ADEM.

Owing to the major development of social media platforms, the usage of technological adaptation increases by means of editing software tools. Posting media in social communication environments has become one of our common daily routines. Before posting, various editing generators are used to manipulate pixel values, such as for enhancing brightness and contrast. Undoubtedly, this software helps bring posting media from ordinary to outstanding. But such a type of editing crosses the line in terms of creating fakes—anything that comes from anywhere and does not retain its originality anyway. It poses a series of issues in the process of multimedia forensics investigation and chain of custody. In order to restrict the attempts at deep faking and make the investigation hierarchy more effective, efficient, and reliable in the socio-cyber space (SCS), this paper presents a novel framework called DF-SCW. A digital forensics-enabled socio-cyber world with artificial intelligence (AI), especially deep neural networks (DNNs), for detecting and analyzing deep fake media investigations on social media platforms. It compares pixels with their neighboring values in the same media (such as images and videos) to identify information about the original one. There is a media flag designed to filter out malicious and dangerous attempts, like a powerful leader declaring war. Putting flags on such fakes helps digital investigators resist sharing the posts. In addition, the other prospect of this research is to make the digital forensics ecosystem more appropriate to take qualitative judgments in real-time while media is uploaded on social media platforms. The simulation of the proposed DF-SCW is tested on three different platforms, such as Instagram, Facebook, and Twitter. Through the experiment, the DF-SCW outperformed in terms of detection, identification, and analysis of deepfake media by an increased rate of 3.77%.

Abstract Background The burden of breast cancer, the second leading cause of death worldwide, is increasing at an alarming rate. Cuscuta, used in traditional medicine for different ailments, including cancer, is known for containing phytochemicals that exhibit anticancer activity; however, the bioactivities of proteins from this plant remain unexplored. This study aimed to screen the cytotoxic potential of proteins from the crude herbal product of Cuscuta epithymum(L.) (CE) harvested from the host plants Alhagi maurorum and Medicago sativa. Methods The proteins from CE were extracted using a salting-out method, followed by fractionation with a gel filtration chromatography column. Gel-free shotgun proteomics was subsequently performed for protein characterization. The viability assay using MTT was applied to deduce the cytotoxic potential of proteins against MCF-7 breast cancer cells, with further exploration of the effect of treatment on the expression of the apoptotic mediator BCL2-associated X protein (BAX) and B-cell lymphoma protein 2 (BCL-2) proteins, using western blotting to strengthen the findings from the in vitro viability assay. Results The crude proteins (CP) of CE were separated into four protein peaks (P1, P2, P3, and P4) by gel filtration chromatography. The evaluation of potency showed a dose-dependent decline in the MCF-7 cell line after CP, P1, P2, and P3 treatment with the respective IC50 values of 33.8, 43.1, 34.5, and 28.6 µg/ml. The percent viability of the cells decreased significantly upon treatment with 50 µg/ml CP, P1, P2, and P3 (P

Abstract An approach is presented to employ two different types of converters in bridgeless configuration for supply side power factor enhancement of the system. The isolated single‐stage electric vehicle battery charger uses two different converters in a bridgeless configuration to extract the advantages of both converters for supply‐side power factor enhancement. For the negative and positive semi‐cycles of the supply voltage, the power factor‐enhanced asymmetrical alternating current–direct current converter utilises a fourth order single‐ended primary‐inductor converter and a second order buck‐boost converter, respectively. The use of single‐ended primary‐inductor converter and buck‐boost converter in bridgeless configuration reduces the net order of the system with respect to conventional bridgeless‐single‐ended primary‐inductor converter schemes. The buck‐boost converter also needs the supply‐side filter to eradicate the unwanted harmonics in the supply current which increases the order of the system. The usage of both converters presents many benefits like input inductance of the single‐ended primary‐inductor converter can be utilised as a filtering element with a capacitor for the buck‐boost converter. The anti‐parallel diode conduction operation of both switches facilitates the elimination of extra reverse feed diodes (generally used in bridgeless schemes). The single‐stage charger itself comes with the benefit of elimination of extra stages and thus the losses associated with it. The presented charger also witnesses the elimination of the rectifier due to usage of bridgeless configuration. The isolated single‐stage electric vehicle battery charger is also garnished with electrical isolation which adds to the safety standard of the system. To attain power factor enhancement, the asymmetrical alternating current–direct current converter functions in discontinuous current conduction mode in the present work. The elimination of extra‐stages (with respect to two stage charger), a filter, a rectifier, two extra reverse‐feeding diodes, one voltage sensor, one current sensor (with respect to continuous current conduction mode), and electrical isolation not only makes the system compact and safer but also makes the system cheaper. Elaborated mathematical modelling and stability analysis of the presented alternating current–direct current converter using a pole‐zero map and bode plot have been included in the article. The prototype and MATLAB/Simulink model of isolated single‐stage electric vehicle battery charger system with discontinuous current conduction mode control has been built and results of both prototype and MATLAB/Simulink are deployed to verify isolated single‐stage electric vehicle battery charger system's performance during dynamic and steady‐state conditions.

Abstract Free Fatty Acid Receptor 4 (FFAR4), a G-protein-coupled receptor, is responsible for triggering intracellular signaling pathways that regulate various physiological processes. FFAR4 agonists are associated with enhancing insulin release and mitigating the atherogenic, obesogenic, pro-carcinogenic, and pro-diabetogenic effects, normally associated with the free fatty acids bound to FFAR4. In this research, molecular structure-based machine-learning techniques were employed to evaluate compounds as potential agonists for FFAR4. Molecular structures were encoded into bit arrays, serving as molecular fingerprints, which were subsequently analyzed using the Bayesian network algorithm to identify patterns for screening the data. The shortlisted hits obtained via machine learning protocols were further validated by Molecular Docking and via ADME and Toxicity predictions. The shortlisted compounds were then subjected to MD Simulations of the membrane-bound FFAR4-ligand complexes for 100 ns each. Molecular analyses, encompassing binding interactions, RMSD, RMSF, RoG, PCA, and FEL, were conducted to scrutinize the protein–ligand complexes at the inter-atomic level. The analyses revealed significant interactions of the shortlisted compounds with the crucial residues of FFAR4 previously documented. FFAR4 as part of the complexes demonstrated consistent RMSDs, ranging from 3.57 to 3.64, with minimal residue fluctuations 5.27 to 6.03 nm, suggesting stable complexes. The gyration values fluctuated between 22.8 to 23.5 nm, indicating structural compactness and orderliness across the studied systems. Additionally, distinct conformational motions were observed in each complex, with energy contours shifting to broader energy basins throughout the simulation, suggesting thermodynamically stable protein–ligand complexes. The two compounds CHEMBL2012662 and CHEMBL64616 are presented as potential FFAR4 agonists, based on these insights and in-depth analyses. Collectively, these findings advance our comprehension of FFAR4’s functions and mechanisms, highlighting these compounds as potential FFAR4 agonists worthy of further exploration as innovative treatments for metabolic and immune-related conditions.

Insulin therapy is integral to the treatment of diabetes mellitus. Epidemiologic studies have shown its benefits both in terms of improving glycemic control and reducing the risk for long-term diabetic complications for both type 1 and type 2 diabetes. Despite these benefits, barriers to insulin therapy are well documented and include perceived inconvenience, needle anxiety, and portability of device in case of insulin pumps. Therefore, this study aims to design and simulate a low frequency sonophoretic array for transdermal insulin delivery. This study utilizes COMSOL Multiphysics software to simulate the transducer used to increase the skin permeability for delivering drugs. It consists of $8\times 5$ array of a piezoelectric elements operated at 100 kHz and 1 volt. To evaluate the effectiveness of the transducer, an intricate skin model has been developed that includes all anatomical layers extending to the bone. The skin layers, particularly muscle and bone, exhibit reflective properties, leading to the formation of a standing wave. This phenomenon arises from the impedance mismatch between muscle and bone. Standing wave served to promote the transportation of the drug into the dermal layer, rich with capillary networks. We found that applying standing wave with 100 kHz the achieved pressure of 0.3 MPa induced acoustic streaming for the drug flow of $1605~\frac {\mathrm {\mu g}}{{\mathrm {cm}}^{2}}$ per 24 hours. Also, the precise modulation of ultrasound frequency and voltage is key to controlling peak acoustic pressure, thereby regulating the rate of insulin delivery through the skin.

ABSTRACTSesame belongs to the family Pedaliaceae and scientifically named as Sesamum indicum L. It has been considered as one of the most ancient oil crop. To explore the nutraceutical and therapeutic potential of sesame seeds, the present study was planned to develop protein-enriched sesame bars with the addition of barley flour at the rate of 10%, 20%, and 30% among treatments T1, T2, and T3, respectively. Sesame barley-supplemental protein (SBSP) bars were analyzed for compositional, phytochemical, and sensory attributes including color, texture, taste, holding ability, and overall acceptability. The proximate analysis of all treatments showed varied range of results moisture (4.68 ± 0.45%), ash (3.66 ± 0.09%), crude fat (11.48 ± 0.12%), crude protein (42.37 ± 0.66), crude fiber (4.63 ± 0.23%), and nitrogen-free extract (26.29 ± 0.26%), respectively. Results of mineral analysis of all treatments were recorded as calcium (51.88–86.92 mg), iron (3.48–8.48 mg), potassium (359.35–639.20 mg), magnesium (28.23–47.54 mg), and phosphorus (151.03–378.81 mg). The results of total phenolic content ranged from 37.58 to 99.43 mg GAE/100 g, while the results for the total flavonoid content fall in range from 110.85 to 196.50 mg CE/100 g. The DPPH results illustrated that the highest content of DPPH was present in T2 (8.81 ± 0.13), while the lowest DPPH value was noticed in T0 (5.62 ± 0.08). On the basis of sensory evaluation, the T3 SBSP bar was preferred containing 25% barley flour and 75% sesame flour for its attractive color, texture, and overall acceptability.

ABSTRACTIn the current study, taro starch was extracted and used for the encapsulation of probiotics to prolong their viability under stressed conditions. Taro starch and sodium alginate were used as wall materials for the encapsulation of Lactobacillus rhamnosus. Probiotic bacteria were encapsulated by the extrusion method, and obtained microbeads were subjected to various morphological, molecular, and structural characterization using Fourier transform infrared spectroscopy ;(FTIR), Scanning electron microscopy (SEM), and X-ray diffraction (XRD) technique. Furthermore, the viability of free and encapsulated probiotics was also accessed under simulated gastrointestinal conditions and in the food model (cheddar cheese). Average size microcapsules ranged from 6.16 ± 0.05 mm to 5.28 ± 0.03 mm. The encapsulation efficiency for taro and sodium alginate was recorded as 86.27% log CFU/g and 81.78% log CFU/g respectively. SEM micrographs exhibited entrapment of probiotics in wall materials. The surface of capsules was-irregular spherical structure FTIR spectra revealed broad characteristic peaks at 815 cm1, 1320 cm1, 1130 cm1, and ~ 1610 cm1. XRD images showed loss of crystalline structure following encapsulation. Higher probiotic viability was recorded under simulated gastrointestinal conditions for encapsulated probiotics compared to free probiotics. Likewise, a high probiotic count was observed in cheese fortified with encapsulated probiotics. Conclusively, taro starch wall material showed overall best results regarding the viability of probiotics under stressed conditions.

ABSTRACTFood fortification processes are used to improve the functional and dietary characteristics of the final product. The basic aim of the current study was to evaluate the ginger (Zingiber officinalis, Roscoe) fortification in yogurt and to improve its functionality. For this purpose, ginger at different concentrations (0%, 0.5%, 1%, 1.5%, and 2%) was added to yogurt. The results showed a significant influence (p

ABSTRACTThis study evaluated the iron-rich Nutri bar’s effect on iron-deficient females. Iron-rich Nutri-bars made with spinach powder and chickpea flour. The physicochemical profile of the bars was measured. Socioeconomic status and anthropometric data were taken for the effectiveness of the research. This effectiveness trial included 20 girls ages 20 to 25. After that, biochemical tests, including hemoglobin, ferritin, and total iron-binding capacity (TIBC) were conducted. Results showed that the iron-rich Nutri-bars (T3, 6.60) had more moisture than other treatments. T3 protein and fiber composition was 16.90% and 4.30%. In T3, crude fat and ash content were the lowest. All the proximate analyses of incorporated spinach powder and chickpea flour indicated a significant correlation (P > .005). A jury gave treatment T3 the highest score in overall acceptability. Iron and zinc concentrations were 13.2 and 5.9 mg/100 g in T3. Post-assessment height, weight, and body mass index (BMI) indicated a very significant (P > .005) connection compared to pre-assessment (P > .005). Selected young females' hemoglobin, serum ferritin, and total iron-binding capacity were tested biochemically. After the intervention, the experimental group’s mean hemoglobin (HB) was 12.21 ± 1.14 g/dl (P > .005). Increasing patterns support the current study’s iron improvement. Serum ferritin exhibited similarly substantial outcomes. TIBC dropped when iron status increased. Conclusively, iron-rich nutri-bars supplemented with spinach leaf powder and chickpea flour increased iron status in young females.

Influenza D virus (IDV) is a newly emerged zoonotic virus increasingly reported worldwide. Cattle are considered the main reservoir of IDV, although it was first isolated from pigs. IDV infects multiple animal species and contributes to the bovine respiratory disease complex (BRDC). To date, there has been no report on the presence and frequency of IDV among cattle herds in Pakistan. In this study, we collected nasal swabs from cattle and performed virological surveillance of IDV via qRT-PCR. Among 376 swab samples, IDV was detected in 9 samples (2.4%). Four dairy cattle farms were positive for IDV; two IDV-positive samples (two/nine, 22.2%) belonged to asymptomatic cattle, while seven IDV-positive samples (seven/nine, 77.8%) were from cattle showing respiratory clinical signs, including two with a recent history of abortion and mastitis. Partial sequences of the hemagglutinin–esterase-fusion gene of IDV were obtained from nine qRT-PCR-positive samples. Notably, all IDV strains in this study clustered within the D/OK lineages in phylogenetic analysis. A 98.8–99.6% genetic identity to its European and US counterparts indicates that the IDVs are closely related. The D/OK lineage of IDV was previously unreported in Pakistan. This is the first report of IDV in Pakistan. We confirmed that IDV is circulating among cattle herds in Pakistan. This study underscores the importance of virological surveillance to monitor the ecology of IDV for better animal and public health. The continued spread of IDV and its adaptation to various hosts necessitate further epidemiological studies.

Background: Overactive bladder (OAB) is characterized by urinary urgency, frequency, and nocturia, often accompanied by urinary incontinence. OAB significantly impacts the quality of life of affected individuals. Transcutaneous Tibial Nerve Stimulation (TTNS) is a non-invasive treatment option used to manage overactive bladder (OAB) symptoms. Objective: to determine the effects of Transcutaneous Tibial Nerve Stimulation on overactive bladder symptoms in adults. Methods: A randomized controlled trial was held at the Sindh Institute of Physical Medicine and Rehabilitation with a non-probability purposive sampling technique. After screening for inclusion criteria 60 patients were randomly allocated into two Group A received Transcutaneous tibial nerve stimulation (TTNS) combined with traditional physiotherapy, while Group B just received traditional physiotherapy. Both interventions were given for six weeks. The overactive Bladder Symptom Score was used as an outcome measure tool. Results: Group A improved in all OAB parameters, including daytime frequency (p=0.008), nocturia (p=0.006), urinary urgency (p=0.002), and urge urinary incontinence (p=0.008) with a significant improvement p

Supplemented apricot probiotic drink (SAPD) was prepared with the addition of 2% lactobacillus rhamnosus and different percentages (2, 4, 8, 12%) of sea buckthorn powder, a total of five treatments were prepared To, T1, T2, T3, and T4 and stored at 4°C. The analysis of probiotic count was performed using total plate count and for the examination of antioxidant activity DPPH was done and total phenolic content was also conducted. Physiochemical, microbial (TPC), antioxidant (TPC, DPPH), and sensory evaluation of supplemented apricot probiotic drink were done at different storage periods (1, 14, and 28 days) and obtained data were subjected to the statistical design. There was a considerable change in total phenolic content (TPC) throughout storage in all treatments, but supplementation of sea buckthorn has increased the TPC and antioxidant activity of SAPD. The probiotic count of T2 showed the highest probiotics among all treatments with 6.70 log CFU/mL on the 1st day, 6.6 log CFU/mL on the 14th day, and 6.5 log CFU/mL on the 28th day. It was having 4% sea buckthorn followed by T1 having 6.56 log CFU/mL and T0 having 6.54 log CUF/mL of grand mean with little change during the storage period of 28 days. T3 and T4 showed decreased number of probiotic counts with an increase in the percentage of sea buckthorn. This research concluded that sea buckthorn can be supplemented in fruit drinks to provide probiotic and antioxidant benefits, but its increased ratio can reduce the overall acceptability of the drink.

The production of meat using animal stem cell-derived muscle tissue might conceivably do away with the need to sacrifice animals. The creation of “cultured,” “synthetic,” or “in vitro” meat has the potential to produce meat with distinct qualities more quickly and efficiently than normal meat. Although the process of growing muscle tissues in culture from stem cells has been known for a very long time, it has not yet been perfected for the production of cultured meat products for sale. Conditions for applying the technology, which is currently in its infancy, include a phenomenally high level of consumer acceptability and the development of commercially feasible large-scale production techniques. If the meat produced in vitro has physical traits that are identical to those of traditional meat in terms of color, flavor, aroma, consistency, and deliciousness, then it might be realistically viable. Higher the viability of meat production in vitro, the issues including searching for a good stem cell source and talking about the challenges faced throughout the expansion of cultured meat must be resolved. This review highlights the benefits and advancement of cultured meat, highlights its connection problems, and offers prospective solutions for production-related problems.

Advancements in the field of research and development have paved toward the use of herbal agents to cure and control health maladies. Milk thistle (Silybum marianum L.) is one of the herbs that possess pharmacological and therapeutic attributes. Various bioactive components in milk thistle have a key role in pathological conditions like blood-related disorders, hepatic ailments, arthritis, ulcerative colitis, and carcinomas. Among various bioactive components, silymarin is an active agent which isa standardized mixture of flavonolignans (70%–80%) along with silybin, silydianin, and silychristin, with silybin being the main active chemical component. Silymarin has been used medicinally to treat liver disorders, including acute and chronic viral hepatitis, toxin/drug-induced hepatitis, cirrhosis, and alcoholic liver diseases. Traditionally, the plant was employed to increase human reproduction ability, possess reactive oxygen species (ROS) scavenging, antioxidant, anti-inflammatory and immunomodulatory properties, has UV-induced skin damage protection, maintains the menstrual cycle, lessen viral infection, decrease fibrosis, and blood glucose as well as improve functions of the liver, pancreas, and reproductive cells. This review summarizes the basic as well as advanced therapeutic effects of silymarin which will ultimately lead researchers in developinphytopharmaceutical-based complementary medicine.

Gynostemma pentaphyllum belongs to the family Cucurbitaceae which is native to China where it is also termed an immortal herb. It is an emerging herb gaining fame for its rich phytochemistry. It is loaded with superior phytochemicals with immense therapeutic potential. The key phytochemicals include saponins and sterols. Saponins are a wide class of bioactive found in Gynostemma pentaphyllum and 100 different saponins have been reported to date by different researchers in this herb. Several sterols have been demonstrated in this plant including ergostanol, sitosterol and stigmasterol. All these bioactive substances possess superior therapeutic and pharmacological properties that have been investigated in different studies as presented in this comprehensive review. Taxonomic classification, botanical description, and geographical distribution are briefly covered in the first section of this review. In contrast, the phytochemistry, therapeutic properties, and pharmacological features of Gynostemma pentaphyllum are thoroughly explained in the second section.

Background: Urolithiasis is one of the most prevalent urological diseases and is associated with a substantial economic burden. Its prevalence varies according to geographical location. Qatar is a Middle Eastern country located in the Afro-Asian Stone Belt. It has a dry and hot climate, which may predispose individuals working in these environments to form kidney stones (KSs). Methods: A population sample of 4204 patients was categorized into five occupational classes. The frequencies and correlations of these occupations with KS formation were calculated. Results: Among the total cases, 2000 presented with KSs, with the majority being of Asian descent (49%), followed by individuals of Middle Eastern descent (35.1%). Technicians accounted for 35.15% of KS cases followed by clerks (29.2%) and executives (14.6%). Among KS cases, 44% had a single stone, 30% had multiple stones, and 26% had two stones. In comparing both KS and non-KS groups, age, gender, occupation, and race were significantly associated with KS formation (p-value < 0.05), while BMI did not show any significant correlation (p-value > 0.05). Asian males aged 31-40, working as technicians, were significantly more prone to urolithiasis. In comparing age, BMI, and gender with stone characteristics, only age was found significantly associated with stone size (p-value < 0.05). Occupation showed an impact on all studied stone characteristics. Clerks and technicians presented more frequently with stones within the 11-15 mm range, while executives more frequently presented with smaller stones (p-value < 0.001). Stone density was more frequently < 500 HU in workers, technicians and housewives and > 500 HU in executives and clerks (p-value < 0.001). Conclusions: Our findings revealed an elevated risk of urolithiasis among certain occupational groups, particularly technicians, who frequently work outdoors in high-temperature environments. Alternatively, the sedentary nature of clerical and executive positions can also contribute to the risk of urolithiasis.

Abstract In the recent couple of years, due to the accelerated popularity of the internet, various organizations such as government offices, military, private companies, etc. use different transferring methods for exchanging their information. The Internet has various benefits and some demerits, but the primary bad mark is security of information transmission over an unreliable network, and widely uses of images. So, Steganography is the state of the art of implanting a message in the cover objects, that nobody can suspect or identify it. Therefore, in the field of cover steganography, it is very critical to track down a mechanism for concealing data by utilizing different blends of compression strategies. Amplifying the payload limit, and robustness, and working on the visual quality are the vital factors of this research to make a reliable mechanism. Different cover steganography research strategies have been recommended, and each adores its benefits and impediments but there is a need to foster some better cover steganography implements to accomplish dependability between the essential model of cover steganography. To handle these issues, in this paper we proposed a method in view of Huffman code, Least Significant Bits (LSB) based cover steganography utilizing Multi-Level Encryption (MLE) and colorless part (HC-LSBIS-MLE-AC) of the picture. It also used different substitution and flicking concepts, MLE, Magic matrix, and achromatic concepts for proving the proficiency, and significance of the method. The algorithm was also statistically investigated based on some Statistical Assessment Metrics (SAM) such as Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR), Normalized Cross Correlation (NCC), Structural Similarity Index Metric (SSIM), etc. and different perspectives. The observational outcomes show the likelihood of the proposed algorithm and the capacity to give unwavering quality between security, payload, perception, computation, and temper protection.

Abstract Background Carum carvi (caraway) of the Apiaceae family has been used in many cultures as a cooking spice and part of the folk medicine. Previous reports primarily focus on the medicinal properties of caraway seed essential oil and the whole seeds extract. However, no effort has been made to study caraway proteins and their potential pharmacological properties, including nonspecific lipid transfer protein (nsLTP), necessitating further research. The current study aimed to characterize nonspecific lipid transfer protein 1 (nsLTP1) from caraway seed, determine its three-dimensional structure, and analyze protein–ligand complex interactions through docking studies. We also evaluated nsLTP1 in vitro cytotoxic effect and antioxidant capacity. Additionally, nsLTP1 thermal- and pH- stability were investigated. Methods Caraway nsLTP1 was purified using two-dimensional chromatography. The complete amino acid sequence of nsLTP1 was achieved by intact protein sequence for the first 20 residues and the overlapping digested peptides. The three-dimensional structure was predicted using MODELLER. Autodock Vina software was employed for docking fatty acids against caraway nsLTP1. Assessment of nsLTP1 cytotoxic activity was achieved by MTS assay, and the Trolox equivalent antioxidant capacity (TAC) was determined. Thermal and pH stability of the nsLTP1 was examined by circular dichroism (CD) spectroscopy. Results Caraway nsLTP1 is composed of 91 residues and weighs 9652 Da. The three-dimensional structure of caraway nsLTP1 sequence was constructed based on searching known structures in the PDB. We chose nsLTP of Solanum melongena (PDB ID: 5TVI) as the modeling template with the highest identity among all other homologous proteins. Docking linolenic acid with caraway protein showed a maximum binding score of -3.6 kcal/mol. A preliminary screening of caraway nsLTP1 suppressed the proliferation of human breast cancer cell lines MDA-MB-231 and MCF-7 in a dose‑dependent manner with an IC50 value of 52.93 and 44.76 μM, respectively. Also, nsLTP1 (41.4 μM) showed TAC up to 750.4 μM Trolox equivalent. Assessment of nsLTP1 demonstrated high thermal/pH stability. Conclusion To the best of our knowledge, this is the first study carried out on nsLTP1 from caraway seeds. We hereby report the sequence of nsLTP1 from caraway seeds and its possible interaction with respective fatty acids using in silico approach. Our data indicated that the protein had anticancer and antioxidant activities and was thermally stable.

Background: The patients with low back pain have the frequency to seek physiotherapy. There are various outcome measures for low back pain with proven reliability and validity. Objective: To investigate the practice level of physiotherapists working in clinical settings about the usage of outcome measures for low back pain and its barriers. Study type,settings& duration:A cross-sectional study was conducted at different public and private hospital/ clinical setting or health care setting of Karachi, Pakistan from August to December 2019. Methodology:A questionnaire was used to conduct study among 335 physiotherapists. Frequencies and percentages were reported of all descriptive variables. Mean and standard deviation was used to report continuous data. Results:Among 335 physiotherapists, 118 (35.2%) were males, and 217 (64.8%) were females with a mean age of 29.88±5.92 and clinical experience of 5±5.9 years. About 244(72.8%) physiotherapists use outcome measures. Mostly, physiotherapists use a pain visual analogue scale. Approximately 88 (26.2%), 83 (24.7), and 61 (18.2%) physiotherapists identify lack of access to information, lack of time and knowledge as barriers to use outcome measures, respectively. Conclusion:The outcome measures in low back pain being used in physiotherapy practices like other health care professions. However, the lack of access to the information is the most perceived barrier to use outcome measures. The study suggests improving physiotherapists' access to outcome measures and their relevant information can enhance its usage.

Abstract Background Knee osteoarthritis (KOA) considered as one of the most common degenerative diseases of synovial joint. KOA is mostly managed by physical therapy, focused on pain management, the range of motion and muscle strengthening but muscle flexibility is usually neglected. A study was conducted to evaluate the effectiveness of dynamic soft tissue mobilization (DSTM) in comparison with the proprioceptive neuromuscular facilitation (PNF) stretching in the management of hamstring tightness, reduction of pain intensity and improvement of physical functionality in KOA. Methods Forty eight patients with KOA were randomly allocated to group A receiving DTSM and group B receiving PNF stretching. The cryotherapy and isometric strengthening exercises were also given to both groups. Total treatment duration consisted of 4 weeks, 3 sessions per week and total 12 sessions per patient. Each treatment session comprised of 30 min. At baseline and post treatment, Active knee extension test(AKET), Visual analogue scale (VAS), and Knee Injury and Osteoarthritis Outcome Score (KOOS) were used to assess hamstring flexibility, pain intensity level and physical functional capability respectively. The continuous variables were shown as mean and standard deviations. For the comparison of outcome within and between groups, paired sample and independent t-test was applied. Considerable p value was less than 0.05. Results The between group analysis of VAS, right AKE test, and left AKE test showed non-significant (p > 0.05) mean difference as 0.2 (95% CI= -0.29, 0.70), 1.79 (95% CI= -1.84, 4.59), 1.78 (95% CI= -1.6, 5.19) respectively. KOOS domains of symptom, pain, ADLs, sports and recreational, and quality of life had also non-significant (p > 0.05) mean difference as 1.12 (95% CI= -4.05, 6.3), -5.12 (95% CI= -12.71, 2.46), -2.55 (95% CI= -7.47, 2.38), -2.7 (95% CI= -9.72, 4.3), and − 0.68 (95% CI= -7.69, 6.36) respectively. Significant (p

We investigate personalised feedback mechanisms to help drivers regulate their emotions, aiming to improve road safety. We systematically evaluate driver-preferred feedback modalities and their impact on emotional states. Using unobtrusive vision-based emotion detection and self-labeling, we captured the emotional states and feedback preferences of 21 participants in a simulated driving environment. Results show that in-car feedback systems effectively influence drivers’ emotional states, with participants reporting positive experiences and varying preferences based on their emotions. We also developed a machine learning classification system using facial marker data to demonstrate the feasibility of our approach for classifying emotional states. Our contributions include design guidelines for tailored feedback systems, a systematic analysis of user reactions across three feedback channels with variations, an emotion classification system, and a dataset with labeled face landmark annotations for future research.

BackgroundThis study addresses the pervasive issue of heightened preoperative anxiety in healthcare, particularly among pediatric patients. Recognizing the various sources of anxiety, we explored both pharmacological and nonpharmacological interventions. Focusing on distraction techniques, including active and passive forms, our meta-analysis aimed to provide comprehensive insights into their impact on preoperative anxiety in pediatric patients.MethodsFollowing the PRISMA and Cochrane guidelines, this meta-analysis and systematic review assessed the efficacy of pharmaceutical and distraction interventions in reducing pain and anxiety in pediatric surgery. This study was registered on PROSPERO (CRD42023449979).ResultsThis meta-analysis, comprising 45 studies, investigated pharmaceutical interventions and distraction tactics in pediatric surgery. Risk of bias assessment revealed undisclosed risks in performance and detection bias. Distraction interventions significantly reduced preoperative anxiety compared to control groups, with notable heterogeneity. Comparison with Midazolam favored distraction techniques. Subgroup analysis highlighted varied efficacies among distraction methods, with a notable reduction in anxiety levels. Sensitivity analysis indicated stable results. However, publication bias was observed, suggesting a potential reporting bias.ConclusionOur study confirms distraction techniques as safe and effective for reducing pediatric preoperative anxiety, offering a valuable alternative to pharmacological interventions.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=449979, PROSPERO [CRD42023449979].

Erythropoietin (Epo), a glycosylated protein categorized as a member of the cytokine family, is responsible for the modulation of erythrogenesis. Besides this, the nonhaematopoietic effects of Epo are associated with tissue-protective activity via an antiapoptotic pathway. This function of Epo is linked with its heterodimeric form, i.e. EpoR/βcR belonging to the cytokine family as well. Both receptors are dissected into three domains: extracellular (also known as ligand-binding domain), transmembrane and cytoplasmic domain. The transmembrane and cytoplasmic domains are assumed to play a paramount role in dimerization and tissue protection. However, the tertiary structure of cytoplasmic domains of both EpoR and βcR was not reported in the literature. Inspired by the potential therapeutic applications, we aimed to investigate the interaction pattern of EpoR/βcR using in silico tools. Cytoplasmic domains of EpoR and βcR were modelled, structural refinement was carried out through Rosetta, and these were then quality verified by well-known quality matrices. The observed results were found to be structurally consistent with the amenable geometry showing stereochemical sustainability. The modelled cytoplasmic domains were then successfully merged with the remaining domains (extracellular and transmembrane domains) of the respective receptors through MOEv2019.01 and Modeller. The complete structures of EpoR and βcR were subjected to geometry optimization and energy minimization via dynamic studies. The refined structures were subjected to protein–protein docking to yield the heterocomplex. Here, we report on the optimized structure coordinates of EpoR/βcR, the plausible electrostatic interactions involving G191, V206, T214, S241, T244, E336, R337, M342, G348, T349, E362 and K373 of EpoR and D336, S337, Y338, K333, R391, M426, H494, Q495, S717, S722, Y750 and G758 of βcR. Subsequently, we performed screening utilizing the StraPep database to identify Epo mimetic agents with the potential to enhance their tissue-protective effects. Following the virtual screening, four hits (4HQX, 4XO8, 1TPO and 3EZM) were obtained based on the binding affinity and protein–ligand interaction fingerprinting (PLIF). The stability exhibited by the four selected peptides in the binding site of the EpoR/βcR heterocomplex became visible during visual inspection. We propose that the presented model can be harnessed for future characterization studies.

Chillies are considered a universal ingredient for imparting flavor and pungency to foods. Pakistan stood in the top twenty countries worldwide by producing 82 thousand Tons of chillies during 2022-23. Chilli fungal contamination and aflatoxin production during drying is a common problem during post-harvest process. Gasses treatment and Ionizing radiations are efficient methods for reducing toxigenic and pathogenic microbial growth in food items. The current study was designed to compare the effects of ethylene oxide (ETO), gamma (GB) & electron beam (EB) treatments on two red chilli local cultivars (Kunri and Hybrid) of Pakistan. After treatment, the chilli samples were analyzed for aflatoxins, physicochemical, quality & safety attributes. All results were subjected to Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA), dendrogram and ANOVA to check the correlations, grouping and level of significance within the varieties and treatments. The results showed that moisture and water activity mainly designated PC-2 directions and are slightly positively correlated. Conversely, both fat and proteins have a negative correlation with moisture, ash and water activity. Besides, carotenoids and ABTS assay mainly designated PC-2 directions and are slightly positively correlated. Color, flavonoids and TPC also possess positive correlations among them. ETO depicts effectiveness in the reduction of E. coli but is not effective in saving antioxidant potential such as total flavonoids. Similarly, gamma irradiations showed strong reduction trends in fungal and pathogenic count, however same trend was observed in ascorbic acid too. Besides, the electron beam with dosage levels of 12 and 15 kGy has shown effectiveness against Aspergillus spp., aflatoxins and pathogenic microbial load in addition to saving antioxidant potential (phenolics and flavonoids), physicochemical parameters and color values compared to other applied methods especially in Kunri variety. It was evident from the research that varietal combination in addition to applied treatment must be specially considered while designing a treatment for chillies.

The conventional approach of drug development, which focused on inhibiting a single target, has been superseded by a more advanced strategy known as multi-target design. In this study, we describe the synthesis of new N-adamantyl-2-(2-(phenyl)hydrazone)-3-oxobutanamide (6a-k). These compounds were designed with the intention of serving as prospective drug like candidates that can target both alpha glucosidase and urease enzymes. For this purpose, both in-vitro and in-silico investigations were performed after synthesis and characterization. The density functional theory calculations were employed to calculate optimized geometries, global reactivity descriptors and frontier molecular orbital (FMO) analysis. All compounds were found reactive and compounds 6b, 6c, 6d and 6e were found the most stable. The synthesized compounds were also tested for their ability to inhibit the enzyme activities of urease and α-glucosidase. The compound 6c exhibited strong inhibition of urease enzyme, with IC50 value of 13.10 ± 0.55 µM, in comparison to the IC50 value of the standard inhibitor thiourea i.e., 16.4 ± 1.02 µM. In addition to this, compounds 6d and 6e demonstrated a significant α-glucosidase inhibition with IC50 values of 17.16 ± 0.91 µM but found less potent as compared to the standard inhibitor Acarbose, i.e. 9.80 ± 0.20 μM. The structure–activity relationship (SAR) was established and the in-vitro results were further supported by the molecular docking investigations and molecular dynamic simulation studies. The in-vitro and in-silico results demonstrated a strong correlation in assessing the drug-like characteristics of all synthesized compounds (6a-k). The in silico investigation confirmed the findings in the search for inhibitors against the listed enzymes by elucidating the binding relationship between most of the active compounds and the active site of urease and α-glucosidase.

AbstractDate fruit (Phoenix dactylifera L.) is a sweet fruit with high antioxidant activity due to the presence of phenolic compounds such as flavonoids. Similarly, wheat flour is a rich source of dietary fiber, protein, vitamins, minerals, and different phytochemicals, providing many health benefits. Cookies were prepared from wheat flour and date paste (as a sugar substitute) in different proportions (0%, 10%, 20%, 30%, 40%, and 50%). Cookies were analyzed for proximate composition (moisture, crude protein, crude fiber, crude fat, mineral, and ash content), physical properties (diameter, texture, color, and spread ratio), antioxidant activity (DPPH), total flavonoid content (TFC) and total phenolic content (TPC). The mean results from all the experiments indicated that the addition of date pulp in cookies had a highly significant (p

Abstract Cotton has enormous economic potential providing high-quality protein, oil, and fibre. A large increase in cotton output is necessary due to the world's changing climate and constantly expanding human population. In the past, conventional breeding techniques were used to introduce genes into superior cotton cultivars to increase production and to improve quality. The disadvantages of traditional breeding techniques are their time-consuming, reliance on genetic differences that are already present, and considerable backcrossing. To accomplish goals in a short amount of time, contemporary plant breeding techniques, in particular modern genome editing technologies (GETs), can be used. Numerous crop improvement initiatives have made use of GETs, such as zinc-finger nucleases, transcription-activator-like effector nucleases, clustered regularly interspaced palindromic repeats (CRISPR), and CRISPR-associated proteins systems (CRISPR/Cas)-based technologies. The CRISPR/Cas system has a lot of potential because it combines three qualities that other GETs lack: simplicity, competence, and adaptability. The CRISPR/Cas mechanism can be used to improve cotton tolerance to biotic and abiotic stresses, alter gene expression, and stack genes for critical features with little possibility of segregation. The transgene clean strategy improves CRISPR acceptability addressing regulatory issues associated with the genetically modified organisms (GMOs). The research opportunities for using the CRISPR/Cas system to address biotic and abiotic stresses, fibre quality, plant architecture and blooming, epigenetic changes, and gene stacking for commercially significant traits are highlighted in this article. Furthermore, challenges to use of CRISPR technology in cotton and its potential for the future are covered in detail.

This study aimed to investigate the chemical changes and oxidative stability of almond oil varieties (Australian, American, and Iranian) during storage at 60 °C for 21 d. The physicochemical properties of oil were analyzed at various time intervals to determine its stability. The peroxide value, free fatty acid, p-anisidine, TOTOX, fatty acid composition, and effect on functional groups were evaluated to assess the quality of the almond oil during storage. The results showed a significant increase in PV and FFA, p-AV, totox of the almond oil during storage, indicating that oxidative degradation had occurred. During the oxidation process, some changes were observed in the following spectral regions: 3,700–3,150, 3,010–2,999, 1,800–1,600, and 1,200–900 cm−1. Whereas, the fatty acid composition of the almond oil remained relatively stable during storage, except for a small variation in oleic acid. Comparatively, American and Iranian almond oils showed better stability than the Australian almond variety. The findings of this study provide important insights into the oxidative stability of different almond varieties during storage and can aid in the development of strategies to prevent or mitigate oxidation in almond oil. The findings of this study could have significant implications for the food, cosmetics, and pharmaceutical industry, particularly in the formulation and production of products that use almond oil as an ingredient.

In this research work, an advanced most modern ACP1000 Nuclear Power Plant is addressed. An enhanced fractional order model of ACP1000 nuclear power plant is adopted with an addition of protection and safety systems. The whole plant model is developed by using innovative hybrid technology of Visual Basic, LabVIEW, Fractional Order and Field Programmable Gate Array (FPGA). A reactor trip system is designed and modeled using FPGA technology in LabVIEW. Plant parameters are systematically modeled and panels are designed in LabVIEW for reactor protection controllers. Twenty one reactor trip controllers are designed and modeled based on complex digital logics using FPGA programming in LabVIEW. Two fractional order trip controllers are designed for over temperature protection and over power protection in LabVIEW. FPGA based safety controllers are designed for Engineered Safety Features (ESF) in LabVIEW. For enhanced model of ACP1000 nuclear power plant, 374 systems are modeled in modular form in Visual Basic Environment. Nine process controllers are configured in ANFIS framework in LabVIEW. In this research work, process controllers are used in conjunction with protection and safety controllers using FPGA. The parametric display of simulations is carried out in Visual Basic. The closed loop performance of proposed protection controllers is evaluated under reactor trip and turbine trip while that of safety controllers are evaluated under inadvertent opening of safety valves of pressurizer. Various parameters are simulated for severe transient conditions and the results are evaluated and validated against reference design data and Final Safety Analysis Report (FSAR) of ACP1000 nuclear power plant. All the results are well within the trip and safety systems design bounds under abnormal and severe operating conditions.

Steganography surpasses other mechanisms of securing data from potential threats. The modern digital arena calls for robust information hiding techniques and, thus, it has always been a flash point for researchers and academicians. Nowadays, transmission is susceptible to numerous hacks while sharing secret information through typical correspondence channel. Accordingly, everybody needs the classification, respectability, and realness of his or her privileged information. Particularly, different techniques are used to take on these security issues like advanced declaration, computerized mark, and cryptography. Nevertheless, these strategies alone cannot be negotiated. Steganography is a revolution where current information compression, data hypothesis, spread range, and cryptography advancements are integrated to meet the requirements for protection of data over the Internet. This study investigates and critically analyses various existing cover steganography techniques and identifies the valuable region that everyone can be benefited. Moreover, we present a comprehensive overview of the fundamental concepts with in the domain of the steganographic methods and steganalysis. These systems have been depicted in numerous areas of the steganography such as spatial space, transform domain, and adaptive space. Moreover, each space has its particular traits. A few regularly involved techniques for improving the steganographic security and upgrading steganalysis capacity are elaborated, summed up; and conceivable examination patterns are talked about. We also systematically separate different methodologies in our review and show their pros and cons, qualities, challenges and significance.

Neuropeptides (NPs) are a kind of neuromodulator/ neurotransmitter that works as signaling molecules in the central nervous system, and perform major roles in physiological and hormone regulation activities. Recently, machine learning-based therapeutic agents have gained the attention of researchers due to their high and reliable prediction results. However, the unsatisfactory performance of the existing predictors is due to their high execution cost and minimum predictive results. Therefore, the development of a reliable prediction is highly indispensable for scientists to effectively predict NPs. In this study, we presented an automatic and computationally effective model for identifying of NPs. The evolutionary information is formulated using a bigram position-specific scoring matrix (Bi-PSSM) and K-spaced bigram (KSB). Moreover, for noise reduction, a discrete wavelet transform (DWT) is utilized to form Bi-PSSM_DWT and KSB_DWT based high discriminative vectors. In addition, one-hot encoding is also employed to collect sequential features from peptide samples. Finally, a multi-perspective feature set of sequential and embedded evolutionary information is formed. The optimum features are chosen from the extracted features via Shapley Additive exPlanations (SHAP) by evaluating the contribution of the extracted features. The optimal features are trained via six classification models i.e., XGB, ETC, SVM, ADA, FKNN, and LGBM. The predicted labels of these learners are then provided to a genetic algorithm to form an ensemble classification approach. Hence, our model achieved a higher predictive accuracy of 94.47% and 92.55% using training sequences and independent sequences, respectively. Which is $\sim $ 3% highest predictive accuracy than present methods. It is suggested that our presented tool will be beneficial and may execute a substantial role in drug development and research academia. The source code and all datasets are publicly available at https://github.com/shahidawkum/Target-ensC_NP.

Sportsmen may choose to include vegetarian diet in their dietary regime for a variety of ways like its beneficial health impact, due to religious restrictions or to protect animals for environmental integrity. These diets are loaded with a wide variety of phytochemicals with superior health benefits safeguarding against chronic diseases. Besides their role in health management these foods also play a key role in enhancing different sports performances owing to contained with instant energy providing carbohydrates that are crucial for competitive sports performance. Furthermore, they are also richly enriched with antioxidants that are essential for high-end sports performance. However, few vegetarian diets are the source of anti-nutritional entities like high fiber content, chelating agents, phytates, and tannic acid. These interfere with the bio-availability of crucial dietary components like iron, zinc, proteins. Therefore, a sound nutritional approach is required while planning plant-based dietary regimes for sports performance. This review will systematically focus on the impact of vegetarian diets on sports performance in the light of currently available research findings in this field to provide a guiding hand to sports specialists and nutritional experts in planning the vegetarian dietary plans for optimizing the sports performance. In addition, this review explains the bio-availability and enhancement strategies of different vegetarian diet-based nutrients through different energy metabolism pathways.

The core objective of this research work was to determine the nutritional and bioactive profile of raw and fermented (black) garlic. For this purpose, different varieties of garlic i.e., desi and farmi were procured from local market of Faisalabad, Pakistan. In addition, desi raw garlic (DRG) and farmi raw garlic (FRG) were converted into desi fermented (black) garlic (DFG) and farmi fermented garlic (FFG) through fermentation in incubator at 60°C and 70–80% humidity level for 30 days. Moreover, nutritional composition and antioxidant activity of raw and fermented (black) garlic were also elucidated. Results showed that moisture content of garlic was rapidly reduced, whereas crude protein, crude fiber, crude ash, and carbohydrate contents were significantly improved after fermentation. In addition, protein contents of DRG and FRG garlic were 8.57 ± 0.21 and 6.38 ± 0.05 g/100 g whilst 9.5 ± 0.35 and 8.1 ± 0.06 g/100 g, in DFG and FFG, respectively, after fermentation. Additionally, carbohydrate contents were also increased up to 30–40% after fermentation. Mineral contents such as potassium, sulfur, aluminum, iron, sodium, magnesium, zinc, and copper were also increased after fermentation. Furthermore, garlic fermentation significantly reduced pH level. Antioxidant activity showed that total phenolic contents (TPC) of DRG & FRG were 2421.3 & 2128.5 mg GAE/kg while 2886.7, & 2529.8 mg GAE/kg for DFG and FFG, respectively. Total flavonoid contents of DRG and FRG were 124 & 101 mg RE/100 g, whereas DFG and FFG were 191 & 121mgRE/100 g. FRAP, DPPH, and ABTS values were higher in DRG and DFG as compared to FRG and FFG. Conclusively, fermented (black) garlic showed a higher nutritional profile, mineral content, as well as antioxidant activity as compared to raw garlic. C-1: Avoid % for concentration, use more clearly; for examples g/100 g raw materials, g/100 g dry-solids, g/100 g extract, g/100 g oil???) Check all???

Abstract In image segmentation and in general in image processing, noise and outliers distort contained information posing in this way a great challenge for accurate image segmentation results. To ensure a correct image segmentation in presence of noise and outliers, it is necessary to identify the outliers and isolate them during a denoising pre-processing or impose suitable constraints into a segmentation framework. In this paper, we impose suitable removing outliers constraints supported by a well-designed theory in a variational framework for accurate image segmentation. We investigate a novel approach based on the power mean function equipped with a well established theoretical base. The power mean function has the capability to distinguishes between true image pixels and outliers and, therefore, is robust against outliers. To deploy the novel image data term and to guaranteed unique segmentation results, a fuzzy-membership function is employed in the proposed energy functional. Based on qualitative and quantitative extensive analysis on various standard data sets, it has been observed that the proposed model works well in images having multi-objects with high noise and in images with intensity inhomogeneity in contrast with the latest and state-of-the-art models.

Entropy generation and triple diffusive convection is not explored yet taking the combined effects of suction and magnetohydrodynamic in a flow through porous medium. Irreversibility in mass diffusivity due to magnetic field has substantial effects on mass and heat transport rate. A novel model obeying Darcy law and Boussinesq approximation is developed for the entropy generation analysis under the influence of coupling effects of concentrations of two heterogeneous salts in the flow of a Newtonian fluid. Magnetic Bejan number and mass Bejan number have been defined for the estimation of novel irreversibilities due to salts’ concentrations and magnetic retardation. Governing equations are transformed by employing similarity variables; the dimensionless system thus obtained is discretized by the finite differences and, then simulated numerically via Successive over Relaxation (SOR) methodology. It’s worth noting that suction at the surface along with magnetic force and porosity tends to decrease local as well as surface entropy generation rates and also the novel magnetic Bejan number considerably. Furthermore, entropy generation rate in triple diffusion is higher than double diffusion.

The escalating reliance of modern society on information and communication technology has rendered it vulnerable to an array of cyber-attacks, with distributed denial-of-service (DDoS) attacks emerging as one of the most prevalent threats. This paper delves into the intricacies of DDoS attacks, which exploit compromised machines numbering in the thousands to disrupt data services and online commercial platforms, resulting in significant downtime and financial losses. Recognizing the gravity of this issue, various detection techniques have been explored, yet the quantity and prior detection of DDoS attacks has seen a decline in recent methods. This research introduces an innovative approach by integrating evolutionary optimization algorithms and machine learning techniques. Specifically, the study proposes XGB-GA Optimization, RF-GA Optimization, and SVM-GA Optimization methods, employing Evolutionary Algorithms (EAs) Optimization with Tree-based Pipelines Optimization Tool (TPOT)-Genetic Programming. Datasets pertaining to DDoS attacks were utilized to train machine learning models based on XGB, RF, and SVM algorithms, and 10-fold cross-validation was employed. The models were further optimized using EAs, achieving remarkable accuracy scores: 99.99% with the XGB-GA method, 99.50% with RF-GA, and 99.99% with SVM-GA. Furthermore, the study employed TPOT to identify the optimal algorithm for constructing a machine learning model, with the genetic algorithm pinpointing XGB-GA as the most effective choice. This research significantly advances the field of DDoS attack detection by presenting a robust and accurate methodology, thereby enhancing the cybersecurity landscape and fortifying digital infrastructures against these pervasive threats.