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The concept of being uniform strong interval-valued intuitionistic fuzzy (also termed as USIVIF) is an integration of two ideologies, which are called "uniformity" and "strong interval-valued intuitionistic fuzzy sets". Inspired by the study on uniform fuzzy topological indices, it is natural to introduce uniform IVIFTIs. Originally, topological indices were generalized for the fuzzy sets However, the utilization of the interval-valued intuitionistic fuzzy topological indices provides a finer approach, especially if there are multiple uncertainties based on intervals. Consequently, both theories imply that topological indices are not fixed and depend on certain situations or problems in the question. In this article, the generalized results for the uniform degree of the fuzzy sets associated with individual vertices/edges of strong interval-valued intuitionistic fuzzy graphs were presented and results for the total uniform degree of such graphs were also included. In addition, the nature of the implemented methods and models was discussed based on the cellular neural interval-valued intuitionistic fuzzy graphs of sets of membership and non-membership values.

Abstract Ewing sarcoma (ES) poses a significant therapeutic challenge due to the difficulty in targeting its main oncodriver, EWS::FLI1. We show that pharmacological targeting of the EWS::FLI1 transcriptional complex via inhibition of P300/CBP drives a global transcriptional outcome similar to direct knockdown of EWS::FLI1, and furthermore yields prognostic risk factors for ES patient outcome. We find that EWS::FLI1 upregulates LMNB1 via repetitive GGAA motif recognition and acetylation codes in ES cells and EWS::FLI1-permissive mesenchymal stem cells, which when reversed by P300 inhibition leads to senescence of ES cells. P300-inhibited senescent ES cells can then be eliminated by senolytics targeting the PI3K signaling pathway. The vulnerability of ES cells to this combination therapy suggests an appealing synergistic strategy for future therapeutic exploration.

The rise of Vehicular Edge Computing (VEC) has gained attention for its ability to alleviate backhaul network load and provide ultra-low latency. In meeting the escalating computational needs of cutting-edge vehicular applications such as augmented reality and autonomous driving, the abundant computational resources of vehicles can prove critical for task computation in a VEC environment. Nevertheless, the high mobility of vehicles has the potential to disrupt ongoing task computation due to varying communication network connectivity. This paper proposes a task offloading scheme that leverages multi-hop vehicle computation resources in Vehicle-to-Vehicle (V2V) communication, relying on mobility analysis. Vehicles capable of fulfilling the requisite communication and computation demands via multi-hop connectivity can assist in performing tasks offloaded by the client vehicle, along with the single-hop vehicles in the vicinity of the client vehicle. We formulate an NP-hard optimization problem for task offloading to minimize all tasks’ weighted sum of computation delay. For this, a proximal policy optimization-based Multi-hop Vehicular Task Offloading (MVTO-PPO) scheme in vehicular edge computing is designed for low complexity that provides the optimal solution. Our approach involved modeling the task offloading process as a Markov decision process. We then developed an offloading decision algorithm that utilizes deep reinforcement learning to choose the appropriate vehicle for task execution. This approach improves the quality of environmental perception by enabling reasonable task offloading, ultimately leading to significant long-term benefits. Furthermore, we explore the integration of fifth-generation new-radio vehicle-to-everything (5G NR V2X) communication, utilizing both cellular links and millimeter wave technology to enhance system performance. Simulation results demonstrate that the proposed algorithm significantly reduces task offloading delays, outperforming benchmark approaches in various scenarios.

This study was conducted to assess the possible antidiabetic potential of Conyza bonariensis by employing in vitro as well as in vivo assessments. The dried plant material was extracted in methanol, ethanol, and water. The in vitro results showed that the ethanolic extract (EthCb) was found to have higher antioxidant and antidiabetic potential as compared with the aqueous (AqCb) and methanolic extracts (MthCb) so it was further evaluated in the in vivo trial using a diabetic rat model. Diabetes was induced in male Wistar rats by administering 5% sucrose in drinking water and a cafeteria diet for 8 weeks, followed by nicotinamide and streptozotocin administration. Subsequently, the diabetic rats were divided into 4 groups (n = 8 each): Positive control (no treatment), standard control (Metformin @ 10 mg/kg bw), treatment 1 ( C. bonariensis ethanolic extract @ 200 mg/kg bw), and treatment 2 ( C. bonariensis ethanolic extract @ 400 mg/kg bw). In addition, there was a negative control group of 8 rats without diabetes induction or treatment. After 21 days of treatment, blood samples were collected from all rats. The serum was evaluated through different means for glucose level, lipid profile, oxidative stress, carbohydrate metabolic enzymes and thyroid hormones. ANOVA was used to evaluate the data statistically. Total oxidant status (TOS) and the serum glucose levels of the streptozotocin-treated rats were reduced significantly ( P ⩽ .05) in Conyza bonariensis treated group. Whereas total antioxidant capacity (TAC) along with enzymes like paraoxonase and arylesterase were increased in Conyza bonariensis treated group. The antihyperlipidemic activity was also observed in Conyza bonariensis treated group Interestingly the subnormal levels of T3 and T4 which were observed in the PC group were also normalized in both treatment groups. This study demonstrated the antidiabetic as well as antioxidant activity of different extracts of Conyza bonariensis .

ABSTRACT: Precision dairy tools (PDT) can provide timely information on individual cow's physiological and behavioral parameters, which can lead to more efficient management of the dairy farm. Although the economic rationale behind the adoption of PDT has been extensively discussed in the literature, the socio-psychological aspects related to the adoption of these technologies have received far less attention. Therefore, this paper proposes a socio-psychological model that builds upon the theory of planned behavior and develops hypotheses regarding cognitive constructs, their interaction with the farmers' perceived risks and social networks, and their overall influence on adoption. These hypotheses are tested using a generalized structural equation model for (a) the adoption of automatic milking systems (AMS) on the farms and (b) the PDT that are usually adopted with the AMS. Results show that adoption of these technologies is affected directly by intention, and the effects of subjective norms, perceived control, and attitudes on adoption are mediated through intention. A unit increase in perceived control score is associated with an increase in marginal probability of adoption of AMS and PDT by 0.05 and 0.19, respectively. Subjective norms are associated with an increase in marginal probability of adoption of AMS and PDT by 0.009 and 0.05, respectively. These results suggest that perceived control exerts a stronger influence on adoption of AMS and PDT, particularly compared with their subjective norms. Technology-related social networks are associated with an increase in marginal probability of adoption of AMS and PDT by 0.026 and 0.10, respectively. Perceived risks related to AMS and PDT negatively affect probability of adoption by 0.042 and 0.16, respectively, by having negative effects on attitudes, perceived self-confidence, and intentions. These results imply that integrating farmers within knowledge-sharing networks, minimizing perceived risks associated with these technologies, and enhancing farmers' confidence in their ability to use these technologies can significantly enhance uptake.

Background Atrioventricular block (AVB) is rare in hyperthyroidism (HTH). Little is known about the true prevalence, clinical course, optimal management, and outcomes of different types of AVBs in patients with HTH. To address these uncertainties, we aimed to conduct a systematic review by combining the available literature to provide more meaningful data regarding AVBs in HTH.Methods We systematically searched PubMed, Scopus, Embase, and Google Scholar for articles reporting patients who developed AVB in the context of HTH. Data were analysed in STATA 16. The main outcomes included types of AVB, frequency of pacemaker insertion, and resolution of AVB. The systematic review is registered with the International Prospective Register of Systematic Reviews (PROSPERO) with the identification number CRD42022335598.Results A total of 56 studies (39 case reports, 12 case series, 3 conference abstracts, 1 retrospective study, and 1 prospective observational study) with 87 patients were included in the analysis, with a mean age of 39.1 ± 17.6 years. Females constituted 65.7% (n = 48) of the cohort. Complete heart block (CHB) was the most commonly reported AVB (N = 45, 51.7%), followed by first-degree AVB (16.1%) and second-degree AVB (14.9%). Overall, 21 patients underwent pacing. A permanent pacemaker was inserted in one patient with second-degree AVB and six patients with CHB. Mortality was reported in one patient with CHB. The clinical course and management of HTH and AVBs did not differ in patients with CHB or lower-degree blocks. Apart from lower rates of goitre and more use of carbimazole in those who underwent pacing, no differences were found when compared to the patients managed without pacing.Conclusion Current data suggest that CHB is the most common type of AVB in patients with HTH. Most patients can be managed with anti-thyroid management alone. Additionally, whether pacemaker insertion alters the clinical outcomes needs further exploration.

The performance of electric bikes has increased with their increased use commercially and it has led to a corresponding increase in the charge and discharge rates for the batteries, and associated battery temperatures. Unfortunately, the cooling mechanisms for these electric bikes have not been able to keep up, with most organizations not implementing any cooling aside from passive ambient air cooling. This has led to a general decrease in battery life and charge capacity for these electric bikes. The proposed research has focused on the development of a novel electric bike cooling system under the practical industrial and environmental framework. It is cheap, effective, and simple to manufacture. Contemporary papers related to the topic have been studied, and the most feasible have been shortlisted to 4 distinct cooling plate designs, 3 Radiator Designs and 5 motor cooling jacket designs, which have been modeled in CAD software and then analyzed through use of CFD software. For the cooling plate design 1 had the lowest cooling capability, design 2 showed a 53.3% increase in total heat transfer from plate to coolant, design 3 showed a 107.52% increase, and design 4 showed a 183.03% increase relative to design 1. For the radiator, design number 2 has been recommended due to optimal cooling and temperature drop of coolant, within the dimensional and space constraints on the electric bike. For the motor cooling jacket, design number 5 was deemed to be the most feasible due to the high heat extraction from motor and good temperature uniformity of contact surface. Their respective advantages and disadvantages are discussed, and the most effective one of them all has been proposed for use. Further potential improvements to its design have also been recommended along with Thermoelectric Generator (TEG) integration for harvesting waste heat to produce energy.

The uneven spatial and temporal distribution of light resources and water scarcity during the grain-filling stage pose significant challenges for sustainable crop production, particularly in the arid areas of the Loess Plateau in Northwest China. This study aims to investigate the combined effects of drought and shading stress on winter wheat growth and its physio-biochemical and antioxidative responses. Wheat plants were subjected to different drought levels— full irrigation (I100), 75% of full irrigation (I75), 50% of full irrigation (I50), and 25% of full irrigation (I25), and shading treatments — 12, 9, 6, 3 and 0 days (SD12, SD9, SD6, SD3, and CK, respectively) during the grain-filling stage. The effects of drought and shading treatments reduced yield in descending order, with the most significant reductions observed in the SD12 and I25 treatments. These treatments decreased grain yield, spikes per plant, 1000-grain weight, and spikelets per spike by 160.67%, 248.13%, 28.22%, and 179.55%, respectively, compared to the CK. Furthermore, MDA content and antioxidant enzyme activities exhibited an ascending trend with reduced irrigation and longer shading durations. The highest values were recorded in the I75 and SD12 treatments, which increased MDA, SOD, POD, and CAT activities by 65.22, 66.79, 65.07 and 58.38%, respectively, compared to the CK. The Pn, E, Gs, and iCO2 exhibited a decreasing trend (318.14, 521.09, 908.77, and 90.85%) with increasing shading duration and decreasing irrigation amount. Drought and shading treatments damage leaf chlorophyll fluorescence, decreasing yield and related physiological and biochemical attributes.

Affective computing, as its name implies, focuses on the recognition of human emotions, sentiments, and feelings. This interdisciplinary field encompasses diverse areas such as languages, sociology, psychology, computer science, and physiology. However, there is a notable absence of research exploring the interaction between machine learning (ML) and mixed reality (XR) for affective computing. This paper aims to address this gap by discussing the importance of affective computing and delving into its concepts, methods, and outcomes. Drawing upon ML and XR approaches, we conduct a comprehensive survey of recent methodologies employed in affective computing. Additionally, we examine state-of-the-art approaches and available affective data resources. Furthermore, we explore various applications where affective computing has a significant impact, providing valuable insights for future scholars seeking to deepen their understanding of its relevance and practical implications.

Maize (Zea mays L.) plays a significant role as a fodder crop, supporting rural populations and livestock. Unfortunately, in Pakistan, there is a shortage of green fodder due to the unbalanced use of fertiliser and improper selection of maize varieties for fodder production. This research aimed to address the need for quality fodder by studying the effects of nitrogen (N) on new maize varieties, ultimately enhancing livestock production and agricultural sustainability. The experiment took place in the summer of 2022 at the Cereal Crop Research Institute in Pakistan. Adopting an RCB design with three replications, fodder maize varieties (Jalal, Kaptan and Jumbo) were tested with four N levels (0, 100, 150, 200 kg N ha−1) applied during sowing, knee (V4), and silking stages. The data upon analysis revealed that different maize varieties had a significant impact on the studied parameters. Maize varieties affected days to tasselling and silking, with the Jumbo variety recording the longest duration (59 and 62, respectively). Similar results were observed for days to milking, with the Jumbo variety taking the longest time (80 days). It also recorded a higher leaf number (11.5), leaf area (478 cm−2) and leaf area index (3.4). Fresh fodder (67,777 kg ha−1) and dry fodder yield (23,424 kg ha−1) were higher for the Jumbo variety. In terms of N application, tasselling (59) and silking (62) took more days when 150 and 200 kg N ha−1 was applied compared to the control. Compared to the control plots (83 days), 200 kg N delayed the milking stage by 10 days. A higher but statistically similar leaf count, leaf area and leaf area index were recorded with 150 and 200 kg N ha−1. The plant height of maize was also higher, with 150 (196 cm) and 200 kg N ha−1 (202 cm). Lastly, a higher fresh fodder and dry fodder yield was associated with 150 and 200 kg N ha−1. Based on these results, the Jumbo variety, with the application of 150 kg N ha−1, is recommended for cultivation for economic feasibility and to obtain a higher fodder yield of maize.

OBJECTIVE: To correlate lateral cephalometric and facial photographic measurements for orthodontic diagnosis in patients with mandibular deficiency. METHODS: This descriptive cross-sectional study was conducted at Department of Orthodontics, Dental College HITEC-IMS Taxila, Pakistan from Feb 2022 to July 2022. Total 60 patients were selected with the age range of 15-30 years. All selected patients underwent lateral cephalometric radiography in natural head position. These radiographs were manually traced to measure SNB (sella, nasion, B point) and MCL (Mandibular Corpus Length). Facial photographs were taken for Ḿ-Mé (Distance between soft tissue menton and point M’) and TŃ B́ (Angular measurement showing anteroposterior position of mandible) measurements. Using SPSS 20.0, Pearson Correlation ‘r’ assessed the correlation between lateral cephalogram and facial photographs, with a significant P value of ≤ 0.05 considered. RESULTS: In this study involving 60 patients (26 males, 34 females) with an average age of 21±5.37 years, a statistically significant correlation was observed between facial photographic and lateral cephalometric measurements for orthodontic diagnosis in patients with mandibular deficiency. The Pearson correlation coefficient of SNB and TŃ B́ was 0.788, indicating a high positive correlation. Additionally, the Pearson correlation coefficient of MCL and Ḿ-Mé was 0.571, demonstrating a substantial positive correlation. CONCLUSION: This study demonstrates a significant correlation between facial photographic and lateral cephalometric measurements in diagnosing mandibular deficiency, suggesting facial photographs' reliability as an alternative to lateral cephalograms in evaluating craniofacial morphology in patients with mandibular deficiency.

We estimate the relationship between farm animal welfare (FAW) efforts taken by beef farmers and the economic performance of beef farms by using farm accounting data from the Swedish Farm Economic Survey matched with survey data on farm management practices. To this end, we perform a two-step analysis. First, an item response theory (IRT) model estimates the latent FAW effort on farms. FAW effort likely depends on a host of complementary FAW-improving strategies, and the IRT model combines the considered strategies into a unidimensional scale. We take this to represent on-farm FAW effort. Second, we use instrumental variable regressions to estimate the relationship between FAW effort and multiple measures of farm economic performance. We find that higher FAW effort scores have no effect on margins and costs. However, higher FAW effort scores are associated with lower farm sales. Findings suggest that policies (such as targeted label for high FAW) that increase farm revenue as well as incentivize the uptake of FAW-improvement practices may be able to compensate farmers for their FAW effort.

Students’ behavioral and emotional engagement in the classroom environment may reflect the students’ learning experience and subsequent educational outcomes. The existing research has overlooked the measurement of behavioral and emotional engagement in an offline classroom environment with more students, and it has not measured the student engagement level in an objective sense. This work aims to address the limitations of the existing research and presents an effective approach to measure students’ behavioral and emotional engagement and the student engagement level in an offline classroom environment during a lecture. More precisely, video data of 100 students during lectures in different offline classes were recorded and pre-processed to extract frames with individual students. For classification, convolutional-neural-network- and transfer-learning-based models including ResNet50, VGG16, and Inception V3 were trained, validated, and tested. First, behavioral engagement was computed using salient features, for which the self-trained CNN classifier outperformed with a 97%, 91%, and 83% training, validation, and testing accuracy, respectively. Subsequently, the emotional engagement of the behaviorally engaged students was computed, for which the ResNet50 model surpassed the others with a 95%, 90%, and 82% training, validation, and testing accuracy, respectively. Finally, a novel student engagement level metric is proposed that incorporates behavioral and emotional engagement. The proposed approach may provide support for improving students’ learning in an offline classroom environment and devising effective pedagogical policies.

Plants play a vital role in numerous domains, including medicine, agriculture, and environmental balance. Furthermore, they contribute to the production of oxygen and the retention of carbon dioxide, both of which are necessary for living beings. Numerous researchers have conducted thorough research in the classification of plant species where certain studies have focused on limited numbers of classes, while others have employed conventional machine-learning and deep-learning models to classify them. To address these limitations, this paper introduces a novel dual-stream neural architecture embedded with a soft-attention mechanism specifically developed for accurately classifying plant species. The proposed model utilizes residual and inception blocks enhanced with dilated convolutional layers for acquiring both local and global information. Following the extraction of features, both streams are combined, and a soft-attention technique is used to improve the distinct characteristics. The efficacy of the model is shown via extensive experimentation on varied datasets, including several plant species. Moreover, we have contributed a novel dataset that comprises 48 classes of different plant species. The results demonstrate a higher level of performance when compared to current models, emphasizing the capability of the dual-stream design in improving accuracy and model generalization. The integration of a dual-stream architecture, dilated convolutions, and soft attention provides a strong and reliable foundation for the botanical community, supporting advancement in the field of plant species classification.

LiNi0.8Co0.1Mn0.1O2 (NCM) layered oxide is contemplated as an auspicious cathode candidate for commercialized lithium-ion batteries. Regardless, the successful commercial utilization of these materials is impeded by technical issues like structural degradation and poor cyclability. Elemental doping is among the most viable strategies for enhancing electrochemical performance. Herein, the preparation of surface tellurium-doped NCM is done by utilizing the methodology solid-state route at high temperatures. Surface doping of the Te ions leads to structural stability owing to the inactivation of oxygen at the surface via the binding of slabs of transition metal-oxygen. Remarkably, 1 wt% of Te doping in NCM exhibits enhanced electrochemical characteristics with an excellent discharge capacity, i.e., 225.8 mAh/g (0.1C), improved rate-capability of 156 mAh/g (5C) with 82.2% retention in capacity (0.5C) over 100 cycles within 2.7–4.3V as compared to all other prepared electrodes. Hence, the optimal doping of Te is favorable for enhancing capacity, cyclability along with rate capability of NCM.

Climate change plays a vital role in the hydrology of any river basin, which may have multidimensional consequences. There is a need to conduct climate change impact assessment studies with updated models and scenarios. This study aimed to assess the impact of climate change on the streamflow and hydropower in Pakistan’s Kunhar River basin. Three general circulation models (GCMs), under two Shared Socioeconomic Pathway scenarios (SSPs 2–45 and 5–85), the Soil and Water Assessment Tool, and the flow duration curve were used to project the change in climatic parameters, streamflow, and hydropower potential, respectively. The findings indicated that in the 2080s, the precipitation, maximum, and minimum temperatures are projected to increase by 10%, 2.0 °C, and 3.0 °C under the SSP 2–45 scenario and are projected to increase by 8%, 3.7 °C, and 4.4 °C under the SSP 5–85 scenario, respectively. The annual streamflow may increase by 15 to 11%, and the seasonal fluctuations are more likely to be dominant compared with the annual fluctuations. The hydropower potential will probably increase by 24 to 16% under the SSP 2–45 and 5–85 scenarios in the 2080s. However, seasonal changes in streamflow and hydropower may impact the hydropower plant operation in the basin. The Kunhar River’s hydrology may change from snow-fed to a rainfall–runoff river.

Moosa Abdur Raqib,1 Abdul Haseeb,2 Muhammad Ashir Shafique,2 Tagwa Kalool Fadlalla Ahmed,3 Muhammad Saqlain Mustafa2 1Department of Medicine, Liaquat College of Medicine & Dentistry, Karachi, Sindh, Pakistan; 2Department of Medicine, Jinnah Sindh Medical University, Karachi, Sindh, Pakistan; 3Department of Medicine, Ahfad University for Women, Omdurman, SudanCorrespondence: Tagwa Kalool Fadlalla Ahmed, Department of Medicine, Ahfad University for Women, Omdurman, Sudan, Tel +249 969710718, Email tagwa.kalool@gmail.comAbstract: Polatuzumab vedotin (PV) is an antibody-drug conjugate that has shown promising results in the treatment of diffuse B-cell lymphoma (DLBCL) and high-grade B-cell lymphoma (HGBCL). This abstract summarizes the current understanding of PV’s use in these malignancies based on available clinical data. Multiple clinical trials have evaluated PV as a part of combination therapy regimens in relapsed/refractory DLBCL and HGBCL. The pivotal Phase II study, GO29365, demonstrated that PV in combination with bendamustine and rituximab (BR) significantly improved progression-free survival and overall survival compared to BR alone in patients with relapsed/refractory DLBCL who ineligible for stem cell transplantation were. Subsequently, the US Food and Drug Administration granted accelerated approval to PV in this setting. PV’s mechanism of action involves targeting CD79b, a cell surface receptor expressed in B-cell malignancies, and delivering the cytotoxic agent monomethyl auristatin E to CD79b-expressing cells. This approach enhances the selective killing of cancer cells while sparing normal cells. The safety profile of PV is generally manageable, with adverse events including infusion-related reactions, cytopenia, peripheral neuropathy, and infections. Overall, PV has emerged as a valuable treatment option for patients with relapsed/refractory DLBCL and HGBCL, offering improved outcomes when combined with appropriate chemotherapy regimens. Ongoing research and clinical trials are further exploring PV’s potential in various treatment settings, including frontline therapy and in combination with other novel agents.Keywords: polatuzumab vedotin, non-Hodgkin lymphoma

ABSTRACTDiabetic peripheral neuropathy is one of the most prevalent complications of diabetes mellitus. It is the most common type of neuropathy characterized by decreased sensory functions in the lower extremities and substantial neuropathic pain. Based on clinical characterization, it is classified into symmetric and asymmetric neuropathy. The pathological changes and neuronal function impairment during diabetes are associated with various pathways, including polyol pathway activation, advanced glycation end-products formation, oxidative stress, protein kinase C activation, poly ADP-ribose polymerase, and hexosamine pathways. Demyelination, axonal atrophy, nerve fibre loss, reduced regeneration, and loss of neurovascular interactions are hallmarks. Although some symptomatic and supportive therapies, such as tricyclic agents, antiarrhythmics, opioid analgesics, incretin, aldose reductase, and protein kinase C inhibitors, are in practice, the outcome is not promising. To fill this gap, natural product-based therapy can prove prodigious as an effective alternative. This review aims to comprehend the available literature on the role of various biological molecules in ameliorating diabetic peripheral neuropathy. These molecules play a key role in reducing oxidative-nitrosative stress, aldose reductase activity, and neuronal apoptosis. They control glucose and HbA1c% levels and improve nerve conduction velocity, axonal regeneration, and antioxidant species (catalase, superoxide dismutase, malondialdehyde). They are known for their attenuating thermal and mechanical hyperalgesia and tactile allodynia. Therefore, there is a need to evaluate these molecules at the pre-clinical and clinical levels for efficacy. Hence, natural molecules may act as promising players against diabetic peripheral neuropathy and are a ray of hope for suffering individuals.

Diabetic cardiomyopathy, a severe diabetic complication, impairs heart function, leading to heart failure. Treatment that effectively addresses this condition without causing side effects is urgently needed. Current anti-hyperglycemic therapies are expensive, has side effects and do not effectively prevent cardiac remodeling. Therefore, it is important to explore natural products that may have the potential to reverse cardiac remodeling. That is why the aim of the current study was to determine the left ventricular remodeling potential of the methanolic extract of Artemisia vulgaris in a diabetic cardiomyopathy rat model. Following the initial comprehensive phytochemical evaluation of plant phenolic and flavonoid content, which showed strong anti-hyperglycemic and antioxidant activities, an extract of Artemisia vulgaris was administered in an in vivo experiment. Diabetic cardiomyopathy was induced in Wistar albino rats according to previously described protocols in the literature, and the effect of treatment was checked by serum and histopathological analysis after 45 days. Artemisia vulgaris treatment significantly (p ≤ 0.05) reduced fasting blood glucose (108.5 ± 1.75 mg/dL), glycated hemoglobin (4.03 ± 0.12 %), serum glucose (116.66 ± 3.28 mg/dL), insulin (15.66 ± 0.66 ng/mL), total oxidant status (54.66 ± 3.22 µmol H2O2Equiv.L−1), Malondialdehyde (0.20 ± 0.01 mmol/L), total cholesterol (91.16 ± 3.35 mg/dL), triglycerides (130.66 ± 3.15 mg/dL), low-density lipids (36.57 ± 1.02 mg/dL), sodium (140 ± 3.21 mmol/L), calcium (10.44 ± 0.24 mmol/L), creatine kinase MB (1227.5 ± 17.89 IU/L), lactate dehydrogenase (1300 ± 34.64 IU/L), C-reactive protein (30 ± 0.57 pg/mL), tumor necrosis factor-α (58.66 ± 1.76 pg/mL), atrial natriuretic peptide (2.53 ± 0.04 pg/mL), B-type natriuretic peptide (10.66 ± 0.44 pg/mL), aspartate aminotransferase (86.5 ± 4.99 U/L), Alanine Transaminase (55.33 ± 2.90 U/L), urea (25.33 ± 1.15 mg/dL) and creatinine (0.64 ± 0.02 mg/dL) but significantly increased (p ≤ 0.05) total antioxidant capacity (1.73 ± 0.07 mmol Trolox Equil./L), high-density lipids (40 ± 1.59 mg/dL) and potassium (3.82 ± 0.04 mmol/L) levels. ECG and histopathology confirmed the significant improvement in remodeling and the reversal of structural changes in the heart and pancreas. In conclusion, Artemisia vulgaris possesses significant left ventricular remodeling potential in course of diabetes-induced cardiomyopathy.

The incidence of cardiovascular disorders is continuously rising, and there are no effective drugs to treat diabetes-associated heart failure. Thus, there is an urgent need to explore alternate approaches, including natural plant extracts, which have been successfully exploited for therapeutic purposes. The current study aimed to explore the cardioprotective potential of Phoenix dactylifera (PD) extract in experimental diabetic cardiomyopathy (DCM). Following in vitro phytochemical analyses, Wistar albino rats (N = 16, male; age 2–3 weeks) were fed with a high-fat or standard diet prior to injection of streptozotocin (35 mg/kg i.p.) after 2 months and separation into the following four treatment groups: healthy control, DCM control, DCM metformin (200 mg/kg/day, as the reference control), and DCM PD treatment (5 mg/kg/day). After 25 days, glucolipid and myocardial blood and serum markers were assessed along with histopathology and gene expression of both heart and pancreatic tissues. The PD treatment improved glucolipid balance (FBG 110 ± 5.5 mg/dL; insulin 17 ± 3.4 ng/mL; total cholesterol 75 ± 8.5 mg/dL) and oxidative stress (TOS 50 ± 7.8 H2O2equiv./L) in the DCM rats, which was associated with preserved structural integrity of both the pancreas and heart compared to the DCM control (FBG 301 ± 10 mg/dL; insulin 27 ± 3.4 ng/mL; total cholesterol 126 ± 10 mg/dL; TOS 165 ± 12 H2O2equiv./L). Gene expression analyses revealed that PD treatment upregulated the expression of insulin signaling genes in pancreatic tissue (INS-I 1.69 ± 0.02; INS-II 1.3 ± 0.02) and downregulated profibrotic gene expression in ventricular tissue (TGF-β 1.49 ± 0.04) compared to the DCM control (INS-I 0.6 ± 0.02; INS-II 0.49 ± 0.03; TGF-β 5.7 ± 0.34). Taken together, these data indicate that Phoenix dactylifera may offer cardioprotection in DCM by regulating glucolipid balance and metabolic signaling.

The Internet of Things (IoT) plays an essential role in people’s daily lives, such as healthcare, home, traffic, industry, and so on. With the increase in IoT devices, there emerge many security issues of data loss, privacy leakage, and information temper in IoT network applications. Even with the development of quantum computing, most current information systems are weak to quantum attacks with traditional cryptographic algorithms. This paper first establishes a general security model for these IoT network applications, which comprises the blockchain and a post-quantum secure identity-based signature (PQ-IDS) scheme. This model divides these IoT networks into three layers: perceptual, network, and application, which can protect data security and user privacy in the whole data-sharing process. The proposed PQ-IDS scheme is based on lattice cryptography. Bimodal Gaussian distribution and the discrete Gaussian sample algorithm are applied to construct the fundamental difficulty problem of lattice assumption. This assumption can help resist the quantum attack for information exchange among IoT devices. Meanwhile, the signature mechanism with IoT devices’ identity can guarantee non-repudiation of information signatures. Then, the security proof shows that the proposed PQ-IDS can obtain the security properties of unforgeability, non-repudiation, and non-transferability. The efficiency comparisons and performance evaluations show that the proposed PQ-IDS has good efficiency and practice in IoT network applications.

Muhammad Ashir Shafique, Abdul Haseeb, Mohammad Arham Siddiq, Abdullah Mussarat, Hussain Sohail Rangwala, Muhammad Saqlain Mustafa Department of Medicine, Jinnah Sindh Medical University, Karachi, PakistanCorrespondence: Muhammad Ashir Shafique, Department of Medicine, Jinnah Sindh Medical University, Iqbal Shaheed Road, Karachi, Pakistan, Tel +92 334 326954, Email ashirshafique109@gmail.comAbstract: Urothelial carcinoma is a common malignancy that affects the urinary system, with bladder cancer being the most prevalent form. Although the management of early-stage disease has seen significant improvements, the treatment of locally advanced and metastatic urothelial carcinoma remains challenging. Over the past decade, there has been an explosion in the number of therapies available for the treatment of advanced disease, with immune checkpoint inhibitors and antibody-drug conjugates leading the way. Enfortumab vedotin is an antibody-drug conjugate that targets Nectin-4, a protein that is overexpressed in urothelial carcinoma cells. In clinical trials, it has shown promising outcomes for the treatment of advanced urothelial carcinoma that has progressed after chemotherapy or immunotherapy. The US Food and Drug Administration has granted expedited approval for enfortumab vedotin in the treatment of advanced urothelial carcinoma. This review provides an overview of the current and emerging treatments for urothelial carcinoma, with a particular focus on enfortumab vedotin. We discuss the mechanisms of action, clinical efficacy, safety, and ongoing research of enfortumab vedotin, along with the current landscape of other approved therapies and promising agents in development. The aim of this review is to provide a comprehensive and up-to-date summary of the available treatment options for urothelial carcinoma, including their limitations and future prospects.Keywords: urothelial carcinoma, enfortumab vedotin, erdafitinib

Oxidative stress contributes to the pathogenesis of hypertension and studies have shown that hypertension is associated with an increase in oxidative stress. Reactive oxygen species (ROS) lead to hypertension and antioxidants may be beneficial for its prevention. The main cause of oxidative stress in hypertension is endothelial dysfunction due to the malfunctions in the vasodilator systems, specifically the molecular mechanism of ROS and nitric oxide (NO). The level of malondialdehyde (MDA), a biomarker of lipid peroxidation and oxidative stress, is found to be higher in hypertension patients. Total antioxidant capacity (TAC), which has a strong relationship with blood pressure, is determined through the ferric reducing antioxidant power (FRAP). The aim of the review article is to elucidate the role of MDA and FRAP in hypertension. Keywords: oxidative stress, hypertension, blood pressure, oxidative damage, malondialdehyde, FRAP

In industrial manufacturing, the detection of stitching defects in fabric has become a pivotal stage in ensuring product quality. Deep learning-based fabric defect detection models have demonstrated remarkable accuracy, but they often require a vast amount of training data. Unfortunately, practical production lines typically lack a sufficient quantity of apparel stitching defect images due to limited research-industry collaboration and privacy concerns. To address this challenge, this study introduces an innovative approach based on DCGAN (Deep Convolutional Generative Adversarial Network), enabling the automatic generation of stitching defects in fabric. The evaluation encompasses both quantitative and qualitative assessments, supported by extensive comparative experiments. For validation of results, ten industrial experts marked 80% accuracy of the generated images. Moreover, Fréchet Inception Distance also inferred promising results. The outcomes, marked by high accuracy rate, underscore the effectiveness of proposed defect generation model. It demonstrates the ability to produce realistic stitching defective data, bridging the gap caused by data scarcity in practical industrial settings.

Background: Paraquat (PQ) is a herbicide that is used globally in the agriculture sector to eradicate unwanted weeds, however it also induces significant damages in various organs of the body such as testes. Tectochrysin (TEC) is an important flavonoid that shows versatile therapeutic potentials. Currently, there is no established antidote to cure PQ-induced testicular toxicity. Objective: The present study was conducted to evaluate the ameliorative effects of TEC against PQ prompted testicular damage. Methods: Sprague-Dawley rats (n = 48) were used to conduct the trial. Rats were allocated in to 4 groups i.e., Control, PQ administrated group (5 mgkg−1), PQ + TEC co-administrated group (5 mgkg−1 + 2.5 mgkg−1) and TEC only administrated group (2.5 mgkg−1). The trial was conducted for 8 weeks. The activity of anti-oxidants and the levels of MDA and ROS were determined by spectrophotometric method. Steroidogenic enzymes as well as apoptotic markers expressions were evaluated by qRT-PCR. The level of hormones and inflammatory indices was quantified by enzyme-linked immunosorbent assay. Results: PQ exposure markedly (P

Diabetes mellitus, a high-morbidity endocrine disease, is typically treated with synthetic hypoglycemic drugs that are costly and have severe side effects. Natural products, like mushrooms, offer a cost-effective, accessible, and eco-friendly alternative. Current study intends to examine the antidiabetic potential of mushroom-based herbal formulation (MHF) on streptozotocin-induced diabetic rats. For this purpose, five different groups of Wister rats were established including one normal group. Among four diabetic groups, one group served as the diabetic control, while the remaining two groups were administrated with MHF 200 mg/kg and 400 mg/kg, respectively, and the fifth was administered with metformin for 28 days. On the last day of experiment, all rats were sacrificed, and samples were collected for different analysis. The study outcomes revealed that the administration of MHF to diabetic rats resulted in remarkable (p

Real-time security surveillance and identity matching using face detection and recognition are central research areas within computer vision. The classical facial detection techniques include Haar-like, MTCNN, AdaBoost, and others. These techniques employ template matching and geometric facial features for detecting faces, striving for a balance between detection time and accuracy. To address this issue, the current research presents an enhanced FaceNet network. The RetinaFace is employed to perform expeditious face detection and alignment. Subsequently, FaceNet, with an improved loss function is used to achieve face verification and recognition with high accuracy. The presented work involves a comparative evaluation of the proposed network framework against both traditional and deep learning techniques in terms of face detection and recognition performance. The experimental findings demonstrate that an enhanced FaceNet can successfully meet the real-time facial recognition requirements, and the accuracy of face recognition is 99.86% which fulfills the actual requirement. Consequently, the proposed solution holds significant potential for applications in face detection and recognition within the education sector for real-time security surveillance.

Given the importance of ICT diffusion in the development of the financial sector, this analysis is an effort to analyze the transmission channels between the two in high-income and middle and low-income economies over 2001-2019. We have used three variables, including the ICT index, individuals using the internet, and mobile subscribers, to represent ICT and three indices, including the financial development index, financial institution index, and financial market index, to make our results reliable and robust. We utilized a GMM method for conducting the empirical analysis. Generally, our results imply that ICT diffusion positively impacts financial development in high-income economies and negatively impacts middle and low-income economies. Our findings suggest that middle- and low-income-economy policymakers should follow the footprint of the high-income economies and increase the role of ICT in the financial sector for its development.

OBJECTIVES The objective of this study is to check the effects of Anemia on mortality and morbidity in patients having ischemic heart disease and undergoing coronary artery bypass graft surgery (CABG). METHODOLOGY The study involved all the patients who underwent isolated coronary artery bypass graft surgery from July 2019 to December 2022. The clinical data of patients was retrospectively collected from the departmental data pool and was then analyzed using the chi-square test and t-test. A p-value of less than 0.05 was considered significant. RESULTS The study included 2570 patients who underwent isolated CABG; 78.2% of patients were males with a mean age of 57.87±9.20. Hypertension was the most common comorbidity (68.9%), followed by dyslipidemia (53.7%) & Diabetes mellitus (49.9%). The preoperative mean hematocrit was 30.05±17.85. Of these 2570 patients, 52.37% were anaemic with a mean age of 58.69±9.05. Anemic patients had a significantly higher rate of IABP insertion (P 0.02) and intra-operative blood product transfusion (P

Abstract Background The epithelial lining of the gut expresses intestinal fatty-acid binding proteins (I-FABPs), which increase in circulation and in plasma concentration during intestinal damage. From the perspective of obesity, the consumption of a diet rich in fat causes a disruption in the integrity of the gut barrier and an increase in its permeability. Hypothesis There is an association between the expression of I-FABP in the gut and various metabolic changes induced by a high-fat (HF) diet. Methods Wistar albino rats (n = 90) were divided into three groups (n = 30 per group), viz. One control and two HF diet groups (15 and 30%, respectively) were maintained for 6 weeks. Blood samples were thus collected to evaluate the lipid profile, blood glucose level and other biochemical tests. Tissue sampling was conducted to perform fat staining and immunohistochemistry. Results HF diet-fed rats developed adiposity, insulin resistance, leptin resistance, dyslipidemia, and increased expression of I-FABP in the small intestine compared to the control group. Increased I-FABP expression in the ileal region of the intestine is correlated significantly with higher fat contents in the diet, indicating that higher I-FABP expression occurs due to increased demand of enterocytes to transport lipids, leading to metabolic alterations. Conclusion In summary, there is an association between the expression of I-FABP and HF diet-induced metabolic alterations, indicating that I-FABP can be used as a biomarker for intestinal barrier dysfunction.

Background: Celastrus paniculatus is a herb used in the Ayurvedic system of medicine that has been reported to show multiple pharmacological properties. In this study, we explored the antioxidative, hypolipidaemic and hypoglycaemic potential of C. paniculatus methanolic seed extract (CPMSE) in high-fat diet (HFD)/streptozotocin (STZ)-induced type 2 diabetes mellitus (T2DM) rats. Materials and methods: Seeds of C. paniculatus were extracted in methanol using Soxhlet extraction method. A total of 36 rats were induced with STZ and HFD and treated with glibenclamide or various concentrations of CPMSE. Upon treatment, blood samples were collected and kidney and liver samples were homogenised. Serum biochemical estimation was performed using several diagnostic kits. Protein was estimated by bicinchoninic acid (BCA) method. Oxidative stress was assessed by measuring malondialdehyde level and superoxide dismutase (SOD), catalase (CAT) and glutathione-S-transferase (GST) activity. Results: CPMSE caused improvements in glucose homeostasis, lipid profile, liver function and oxidative stress parameters in a dose-dependent manner. CPMSE significantly decreased the levels of fasting blood glucose and glycated haemoglobin as well as increased insulin level and total protein content. There was an increase in total cholesterol (TC), low density lipoprotein-cholesterol (LDL-C), triglycerides (TG) levels and reduction in high density lipoprotein-cholesterol (HDL-C) level. There was a decrease in serum levels of serum glutamate pyruvate transaminase (SGPT), serum glutamate oxaloacetate transaminase (SGOT) and alkaline phosphatase (ALP). CPMSE decreased LPO and increased CAT, SOD and GST activity. Conclusion: CPMSE has hypoglycaemic, hypolipidaemic and antioxidant properties by reducing the oxidative stress. Keywords: diabetes mellitus, Celastrus paniculatus, antioxidant, phytochemicals, phytonutrients, streptozotocin, high-fat diet

Abstract It was not widely recognized, until the 1950s, that an immune response could be developed not only against “foreign” but also “self” antigens from the studies of chronic thyroiditis leading to the acceptance of autoimmune diseases. Paul Ehrlich coined the term “horror autotoxicus” to emphasize the pathogenesis of autoimmunity and how the immune system distinguishes “foreign” from “self”. The process led to the concept of immune tolerance. The discoveries of allergy and anaphylaxis were the first signs that the immune system was capable of self‐damage. The first autoantibodies were discovered in the 1940s, when antinuclear antibodies and rheumatoid factors were described as serum factors that could bind nuclear antigens and immunoglobulins, respectively. It has now becoming increasingly understandable that autoantibodies play a pivotal role in the pathogenesis of several diseases and mediate systemic inflammation and tissue injury. The purpose of this review article is to elucidate, explain, and emphasize the origins and history of autoimmunity.

Machine learning (ML) is enabling augmented reality (AR) to gain popularity in various fields, including gaming, entertainment, healthcare, and education. ML enhances AR applications in education by providing accurate visualizations of objects. For AR systems, ML algorithms facilitate the recognition of objects and gestures from kindergarten through university. The purpose of this survey is to provide an overview of various ways in which ML techniques can be applied within the field of AR within education. The first step is to describe the background of AR. In the next step, we discuss the ML models that are used in AR education applications. Additionally, we discuss how ML is used in AR. Each subgroup’s challenges and solutions can be identified by analyzing these frameworks. In addition, we outline several research gaps and future research directions in ML-based AR frameworks for education.

Sahibzada MUK, Sadiq A, Faidah HS, et al. Drug Des Devel Ther. 2018;12:303-312. We, the Editors and Publisher of Drug Design, Development and Therapy, have retracted the following article. Following publication of the article, concerns were raised regarding the duplication of nanoparticles within the SEM images shown in Figures 1 and 2. These duplicated regions did not appear to be part of the original SEM images. The authors responded to our queries but were unable to provide a sufficient explanation for the duplicated nanoparticles or provide the original SEM images for the study. As verifying the validity of published work is core to the integrity of the scholarly record, we are therefore retracting the article and the authors were notified of this. We have been informed in our decision-making by our editorial policies and COPE guidelines. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’.

IntroductionWhile early separation of dairy calves after birth has been debated from an ethical and animal welfare lens, the economic evidence surrounding alternative cow-calf contact (CCC) systems is scarce.MethodsTo address this knowledge gap, we assessed the economic consequences of CCC systems using data from the Agriwise database as well as parameters from published literature in a stochastic partial budget model. The implementation of CCC is very diverse between farms, so in our study we therefore selected a limited number of CCC systems to assess. The examined CCC systems were: (i) dam rearing with limited contact at milking (15 minutes twice a day for 115 days) with no manual milk feeding; (ii) dam rearing with 21-day full contact, after which calves are manually fed 8 kg of whole milk for 94 days; and (iii) mixed calf rearing with using both dams and foster cows with full contact; calves are initially kept with their dams and then moved to foster cows at 9 days of age.ResultsWe found that adoption of CCC systems was associated with decreases in contribution margins in the range of 1 to 5.4%, as compared to a rearing system where the calves were separated from their dams after one day and were manually fed 8 kg of milk for 12 weeks. These results illustrated that the costs associated with CCC systems may be fairly high under certain circumstances and may prohibit farmers from adopting this practice. Sensitivity analysis suggested that differences in milk sales, assumptions on changes in labor requirements, and changes in daily calf weight gain depending on CCC system were the main variables that governed the net impact on the contribution margins.DiscussionWe did not include building costs in the analyses assuming that barn structures may not change in the short-term. The study focused only on short-term pecuniary associations between changes in CCC systems and contribution margins. To strengthen the economic decision-making around CCC systems, future research should consider non-monetary impacts of different CCC systems, as well as long-term economic impacts of these production strategies.

Objectives: DNA barcoding using cytochrome c oxidase I (COI) gene is an effective tool for species identification with additional power of measuring molecular diversity and phylogenetic inference. In this study, we evaluated the performance of COI gene sequences for species identification and molecular diversity analysis of some Saudi Arabian birds. Methods: We sequenced the 694 base pair segment of COI gene from 5 samples of white cheeked bulbul (Pycnonotus leucogenys), 4 samples of black scrub robin (Cercotrichas podobe), and 2 samples of crested lark (Galerida cristata), all belonged to the same Order. We also included all the COI sequences available in the GenBank for these birds with the aim of studying molecular diversity across geographies. For species identification, we enriched our dataset by including COI barcodes of other Saudi Arabian bird species, including Arabian partridge (Alectoris melanocephala), houbara bustard (Chlamydotis undulata macqueenii), green bee-eater (Merops orientalis), laughing dove (Streptopelia senegalensis), namaqua dove (Oena capensis) and collared dove (Streptopelia decaocto), representing different genera. Results: White-cheeked bulbul from Saudi Arabia showed more diversity than the same birds from Iraq. The mean nucleotide difference and nucleotide diversity were 5.20 and 0.009 respectively with as Tajima’s D score of 1.6549 indicating the scarcity of rare alleles. The specimens of black scrub robin from Saudi Arabia and Djibouti showed mixed phylogeny with only two segregating sties and a near zero Tajima’s D score indicating no major selection. Out of 18 samples of crested lark, 13 birds from 4 different geographical regions showed identical sequences, while 3 birds from Russia and 1 from Cyprus grouped in a separate cluster and 1 crusted lark from Djibouti differed from all. The mean nucleotide difference and nucleotide diversity were 0.6993 and 0.0014, while a negative Tajima’s D of −1.1956 indicated the presence of rare alleles. Phylogenetic analysis of 9 different species of Saudi Arabian birds showed the discriminatory power of COI barcodes as all the different species grouped separately in specific clusters. Conclusions: COI barcodes are not only indispensable tools for species identification but can also be used for analyzing molecular diversity and phylogenetic inference.

This work presents the design and implementation of a circuit that uses a proportional, integral, and derivative (PID) controller to control the revolutions per minute (RPM) of the direct current (DC) motor in real time that uses a microcontroller platform. The algorithm used in the microcontroller was the algebraic equations of the general PID controller equation. The paper discusses the structure of a PID algorithm and its implementation. From the algebraic equations, the error, cumulative error, and delta error of the PID controller have been found. The designed algorithm is implemented using the Arduino software (IDE). The aim of this work is to control the speed (RPM) of the DC motor using the PID design technique. The designed control system circuit is affordable. The system is tested in real-time, steady-state error, and response time is inspected successfully. The designed circuit is tested for various speed inputs satisfactorily. The speed control using PI and PID control methodology is described.

IntroductionLong used in traditional medicine, Nigella sativa (NS; Ranunculaceae) has shown significant efficacy as an adjuvant therapy for diabetes mellitus (DM) management by improving glucose tolerance, decreasing hepatic gluconeogenesis, normalizing blood sugar and lipid imbalance, and stimulating insulin secretion from pancreatic cells. In this review, the pharmacological and pharmacokinetic properties of NS as a herbal diabetes medication are examined in depth, demonstrating how it counteracts oxidative stress and the onset and progression of DM.MethodsThis literature review drew on databases such as Google Scholar and PubMed and various gray literature sources using search terms like the etiology of diabetes, conventional versus herbal therapy, subclinical pharmacology, pharmacokinetics, physiology, behavior, and clinical outcomes.ResultsThe efficiency and safety of NS in diabetes, notably its thymoquinone (TQ) rich volatile oil, have drawn great attention from researchers in recent years; the specific therapeutic dose has eluded determination so far. TQ has anti-diabetic, anti-inflammatory, antioxidant, and immunomodulatory properties but has not proved druggable. DM’s intimate link with oxidative stress, makes NS therapy relevant since it is a potent antioxidant that energizes the cell’s endogenous arsenal of antioxidant enzymes. NS attenuates insulin resistance, enhances insulin signaling, suppresses cyclooxygenase-2, upregulates insulin-like growth factor-1, and prevents endothelial dysfunction in DM.ConclusionThe interaction of NS with mainstream drugs, gut microbiota, and probiotics opens new possibilities for innovative therapies. Despite its strong potential to treat DM, NS and TQ must be examined in more inclusive clinical studies targeting underrepresented patient populations.

Background: Diabetes mellitus is a commonly occurring metabolic disorder accompanied by high morbidity and alarming mortality. Besides various available therapies, induction of pancreatic regeneration has emerged as a promising strategy for alleviating the damaging effect of diabetes. Honey, a potent antioxidative and anti-inflammatory agent, has been reported in the literature archive to exhibit favourable results in the regeneration process of several organ systems. Design: The current research work was intended to explore the potential role of manuka honey in pancreatic regeneration in alloxan-induced diabetic rats by accessing the pancreatic histology and levels of relevant transcription factors, including MAFA, PDX-1, INS-1, INS-2, NEUROG3, NKX6-1, and NEUROD. An equal number of rats were allocated to all four experimental groups: normal, negative control, positive control, and treatment group. Diabetes was induced in all groups except normal through a single intraperitoneal dose of alloxan monohydrate. No subsequent treatment was given to the negative control group, while the positive control and treatment groups were supplemented with metformin (150 mg/kg/day) and manuka honey (3 g/kg/day), respectively. Results: Statistical comparison of glucose and insulin levels, oxidative stress indicators, changes in the architecture of pancreatic islets, and expression levels of regeneration-associated transcription factors advocated the potential role of manuka honey in ameliorating the alloxan-induced hyperglycaemia, hyperinsulinemia, oxidative stress, and necrotic changes in islets along with significant upregulation of relevant transcription factors. Conclusion: This suggests to us the auspicious role of antioxidants in honey in pancreatic regeneration and advocates the favourable role of manuka honey in combating diabetes mellitus.

Silver nanoparticles (AgNPs) have several applications in nanoscience and nanomedicine such as antibacterial, antifungal, anti-inflammatory and anti-angiogenic properties. In the present study, the AgNPs were synthesized by the chemical method and characterised using a combination of UV-Visible (UV-Vis) spectrophotometry, Fourier Transform Infra-Red (FTIR) spectroscopy, transmission electron microscopy (TEM) and X-ray diffraction (XRD). The AgNPs were made by chemically reducing AgNO3 with NaBH4 leading to the formation of a characteristic yellowish-brown colour of AgNPs. To investigate the formation, crystalline behavior, and quality of AgNPs powder, XRD measurements were performed. The produced AgNPs were found to be spherical, dispersed, and scattered in form and the particle size of the AgNPs formed was about 15 nm and they were crystalline in nature. The interaction of AgNO3 with biomolecules may have numerous applications in nanoscience and nanomedicine.

The available medications for diabetes mellitus (DM) are not sufficient to reverse the pathophysiological abnormalities and complications associated with the disease. Considering the undesirable side-effects linked to existing anti-diabetic drugs, there is a paradigm shift towards natural substances for the management and treatment of DM. Plant products such as secondary metabolites or bioactive phytoconstituents are a remarkable source of natural medicines used in ameliorating various diseases, including diabetes. This review article focuses on a natural compound esculin, a coumarin derivative, which possesses multiple biological properties such as anti-inflammatory, anti-oxidative, analgesic, diuretic, anti-coagulative, anti-apoptotic and anti-depressive. It could be a possible candidate as a therapeutic agent in ameliorating diabetes and its complications. Although studies related to the pharmacodynamics of esculin are limited and not fully understood, the anti-diabetic properties of esculin could be exploited as an alternative treatment for type-2 diabetes mellitus (T2DM) either in combination therapy in integrative medicine or as a natural anti-diabetic medicine. However, comprehensive chemical and pharmacological studies are required to validate the available data on esculin from both in vivo and in vitro studies before it can be considered as a potential therapeutic agent in DM.

Abstract Objective Several factors, such as residential area topography, population density, and lack of infrastructure, were hypothesized to contribute toward respondents’ knowledge, attitude, and practice regarding disease transmission. The present study was designed to investigate the knowledge, attitudes, and perception of human-fruit bat interaction by student respondents located in ten districts within the Punjab and Khyber Pakhtunkhwa provinces in Pakistan. Method A cross-sectional survey was conducted by trained enumerators in academic institutions using a structured questionnaire among student respondents (n = 1466), living in two topographically distinct (Mountainous and Plain) residential regions of the Punjab and Khyber Pakhtunkhwa (KPK) provinces in Pakistan regarding their history of bat encounters. Results Our study revealed that 71.4% of the 1466 respondents had observed bats in their geographic region. 21% of our survey respondents reported bat bites incidents over their lifetime, but only 40% actively sought medical care for wound management despite reporting they had a close family member that had contracted rabies (27–35%). Our generalized linear models (GLMs) highlighted that a respondent residing in a residential region had a greater association with reporting a suspected bat bite over their lifetime and reported rabies victims in both near and extended family members (OR = −0,85, p-value = 0.03, 95% CI). This appeared to be due to delaying consulting a doctor or medical facility for treatment following a suspected bat bite in the topographic residential group as compared to the respondents in the provincial residential group (OR 1.12, p-value = 0.04, 95% CI). Conclusion Our findings indicate the necessity of a One Health comprehensive surveillance system in Pakistan for emerging and re-emerging zoonotic pathogens in Pteropodidae.

Gompertz-G family of distributions has been considered. The moment properties of generalized order statistics were studied and characterization results have been presented. Further, several examples and special cases were discussed. The results can be applied to many known distributions included in this family. (original abstract)

The characterisation of probability distribution plays an important role in statistical studies. There are various methods of characterisation available in the literature. The characterisation using truncated moments limits the observations; hence, researchers may save time and cost. In this paper, the characterisation of three general forms of continuous distributions based on doubly truncated moments has been studied. The results are given simply and explicitly. Further, the results have been applied to some well-known continuous distributions. (original abstract)

The proliferation of big data has brought exponential amount of increase in data that is being remotely stored around the globe. Thus, making it imperative to secure the remote data through some encryption mechanism to ensure privacy preservation. However, it often becomes difficult to perform operations over the encrypted data. In order to solve this problem, the equality test function based public key encryption (PKEwET) is proposed. PKEwET approach basically allows secure comparison over encrypted data without revealing the underlying data. This work aims to improve Water’s scheme while introducing a new functionality. More precisly, equality test is being introduced to Water’s scheme so that the encrypted data may be compared without decryption process. To achieve this, an authorization mechanism is being included in which the authorized party uses the trapdoor to test the ciphertext. The scheme is designed under standard model. The security of the proposed scheme is proved with two types of adversaries under the standard model. Finally, the superiority of the proposed scheme in terms of performance is also discussed.

Abdul Haseeb,1 Zikria Saleem,2 Ummara Altaf,3 Narjis Batool,4 Brian Godman,5– 7 Umar Ahsan,8 Mehreen Ashiq,9 Mutiba Razzaq,9 Rabia Hanif,9 Zill E-Huma,9 Afreenish Amir,10 Mohammad Akbar Hossain,11 Mohamed Raafat,12 Rozan Mohammad Radwan,13 Muhammad Shahid Iqbal,14 Sairah Hafeez Kamran15 1Department of Clinical Pharmacy, College of Pharmacy, Umm AL-Qura University, Makkah, Saudi Arabia; 2Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan; 3Department of Pharmacy, Ghurki Trust Teaching Hospital, Lahore, Pakistan; 4Australian Institute of Health Innovation, Center of Health Systems and Safety Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; 5Strathclyde Institute of Pharmacy and Biomedical Sciences, Strathclyde University, Glasgow, UK; 6School of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa; 7Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates; 8Department of Infection Prevention and Control, Al Noor Specialist Hospital, Ministry of health, Makkah, Kingdom of Saudi Arabia; 9Faculty of Pharmacy, The University of Lahore, Lahore, Pakistan; 10Department of Microbiology, National University of Medical Sciences, Rawalpindi, Pakistan; 11Department of Pharmacology and Toxicology, Faculty of Medicine in Al-Qunfudah, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia; 12Department of Pharmacology and Toxicology, College of Pharmacy, Umm AL-Qura University, Makkah, Saudi Arabia; 13Pharmaceutical Care Department, Al Noor Specialist Hospital, Ministry of Health, Makkah, Saudi Arabia; 14Department of Clinical Pharmacy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia; 15Institute of Pharmacy, Lahore College for Women University, Lahore, PakistanCorrespondence: Zikria Saleem, Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan, Email xikria@gmail.comBackground: Antibiotic de-escalation is a key element of antimicrobial stewardship programs that restrict the spread and emergence of resistance. This study was performed to evaluate the impact of positive culture sensitivity reports of E. coli or Methicillin sensitive Staphylococcus aureus (MSSA) on de-escalation of antibiotic therapy.Methods: This prospective observational study was performed on 256 infected patients. The samples were obtained principally from the pus of infected sites for the identification of pathogens and culture-sensitivity testing. The data were collected from patient medical files, which included their demographic data, sample type, causative microbe and antimicrobial treatment as empiric or definitive treatment based on cultures. Data were analyzed using SPSS.Results: Of 256 isolated microbes, 138 (53.9%) were MSSA and 118 were E. coli (46.1%). MSSA showed 100% sensitivity to cefoxitin, oxacillin, vancomycin, fosfomycin, colistin and more than 90% to linezolid (95.3%), tigecycline (93.1%), chloramphenicol (92.2%) and amikacin (90.2%). E. coli showed 100% sensitivity to only fosfomycin and more than 90% to colistin (96.7%), polymyxin-B (95.1%) and tigecycline (92.9%). The high use of cefoperazone+sulbactam (151), amikacin (149), ceftriaxone (33), metronidazole (30) and piperacillin + tazobactam (22) was seen with empiric prescribing. Following susceptibility testing, the most common antibiotics prescribed for E. coli were meropenem IV (34), amikacin (34), ciprofloxacin (29) and cefoperazone+sulbactam (25). For MSSA cases, linezolid (48), clindamycin (30), cefoperazone+ sulbactam IV (16) and amikacin (15) was used commonly. Overall, there was 23% reduction in antibiotic use in case of E. coli and 43% reduction in MSSA cases.Conclusion: Culture sensitivity reports helped in the de-escalation of antimicrobial therapy, reducing the prescribing of especially broad-spectrum antibiotics. Consequently, it is recommended that local hospital guidelines be developed based on local antimicrobial susceptibility patterns while preventing the unnecessary use of broad-spectrum antibiotics for empiric treatment.Keywords: antimicrobial resistance, antimicrobial stewardship, culture sensitivity reports, definitive treatment, empirical treatment, de-escalation, Pakistan

In this work, silkworm cocoon waste is used to make needle-punched nonwoven to study the oil sorption characteristics. The contact angles, oil sorption and retention capacity, sorption capacity after repeated use, and biodegradability of silk nonwoven are investigated. The oil sorption capacity of silk nonwoven fabrics against crude oil and vegetable oil are 31.52 g/g and 25.92 g/g respectively. The silk fibers are hydrophobic and oleophilic indicated by the contact angles. The study showed that silk nonwoven fabrics can be reused effectively at least five times before being disposed-off. The silk nonwoven biodegrades completely in soil in 100 days. The present work indicates that the silk nonwoven is a potential candidate for sustainable oil spill removal.

Background: Silver nanoparticles (AgNPs) have a broad spectrum of applications in nanoscience and nanomedicine due to their flexible properties, such as antibacterial, antifungal, anti-inflammatory and anti-angiogenic. Present study investigated the interaction of chemically synthesized AgNPs with human major antiproteinase alpha-2-macroglobulin (α2M). Materials and methods: The first step of the study involved the synthesis and characterization of AgNPs using various biochemical and biophysical techniques, such as UV-visible spectroscopy, fluorescence quenching spectroscopy, synchronous fluorescence, and circular dichroism (CD). Different methods were used to explore the primary and secondary structural changes induced in α2M by the binding of AgNPs. Results: The UV-visible spectroscopy revealed hyperchromicity in the absorption spectra of α2M. The presence of a static quenching mechanism was indicated by the temperature-dependent fluorescence spectroscopy. The synchronous fluorescence revealed a change in the microenvironment of the tryptophan residues in α2M. The CD results showed the reduction in β-helical content of α2M. The activity of α2M decreased significantly with the increase of AgNPs concentration. Conclusion: Our result suggests that AgNPs cause modifications in the structure and functional activity of α2M. The interaction of nanoparticles with proteins is important for understanding their potential risks to human health. Keywords: alpha-2-macroglobulin, antiproteinase, silver nanoparticles, fluorescence quenching, FTIR, TEM

Abstract Background The gut microbiome, a new organ of the body, can potentially alter the pharmacokinetics of orally administered drugs through microbial enzymes. However, absorption of orally administered non-antibiotic drugs by the gut microbiome, during drug-microbiome interaction, is barely addressed. Structural homology studies confirm similar membrane transport proteins in gut epithelial cells and the gut microbiome of the host that may compete for drug substrates with the host itself for its absorbance. Therefore, it is hypothesized that orally administered human targeted phenobarbital may interact and/or be uptake by the gut microbiome during its transit through the small intestine. Methods In the current in vivo study, thirty-six male Wistar albino rats were divided into six groups including one control and 5 treatment groups, each having an equal number of rats (n = 6). Phenobarbital was administered orally (single dose of 15 mg/kg bw) to treatment groups. Animals were subsequently sacrificed to harvest microbial mass pallets residing in the small intestine after 2, 3, 4, 5, and 6 h of phenobarbital administration. Phenobarbital absorbance by the microbiome in the microbial lysate was estimated through RP-HPLC–UV at a wavelength of 207 nm. Results Maximum phenobarbital absorbance (149.0 ± 5.93 µg) and drug absorbance per milligram of microbial mass (1.19 ± 0.05 µg) were found significantly higher at 4 h of post-administration in comparison to other groups. Percent dose recovery of phenobarbital was 5.73 ± 0.19% at 4 h while the maximum intestinal transit time was 5 h till the drug was absorbed by the microbes. Such results pronounce the idea of the existence of structural homology between membrane transporters of the gut microbiome and intestinal enterocytes of the host that may competitively absorb orally administered phenobarbital during transit in the small intestine. The docking studies revealed that the phenobarbital is a poor substrate for the gut microbiome. Conclusion Gut microbiome may competitively absorb the non-antibiotics such as phenobarbital as novel substrates due to the presence of structurally homologous transporting proteins as in enterocytes. This phenomenon suggests the microbiome as a potential candidate that can significantly alter the pharmacokinetics of drugs.