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Background: Breast cancer is characterized by uncontrolled cell growth in the breast tissue and is a leading cause of death globally. Cytotoxic effects and reduced efficacy of currently used therapeutics insist to look for new chemo-preventive strategies against breast cancer. LKB1 gene has recently been categorized as a tumor suppressor gene where its inactivation can cause sporadic carcinomas in various tissues. Mutations in the highly conserved LKB1 catalytic domain lead to the loss of function and subsequently elevated expression of pluripotency factors in breast cancer. Objectives: The utilization of drug-likeness filters and molecular simulation has helped evaluate the pharmacological activity and binding abilities of selected drug candidates to the target proteins in many cancer studies. Methods: The current in silico study provides a pharmacoinformatic approach to decipher the potential of novel honokiol derivatives as therapeutic agents against breast cancer. AutoDock Vina was used for molecular docking of the molecules. A 100 nano second (ns) molecular dynamics simulation of the lowest energy posture of 3'-formylhonokiol- LKB1, resulting from docking studies, was carried out using the AMBER 18. Results: Among the three honokiol derivatives, ligand-protein binding energy of 3' formylhonokiol with LKB1 protein was found to be the highest via molecular docking. Moreover, the stability and compactness inferred for 3'- formylhonokiol with LKB1 are suggestive of 3' formylhonokiol being an effective activator of LKB1 via simulation studies. Conclusion: It was further established that 3'- formylhonokiol displays an excellent profile of distribution, metabolism, and absorption, indicating it is an anticipated future drug candidate.

MALL has grown in ESL classes during the previous decade. Researchers may now study the pros and cons of blended learning (BL), which combines online and in-person education. This quasi-experimental research examined how BL affects reading comprehension. This research examined how blended learning (BL) affected students' writing comprehension. 60 Pakistani secondary school pupils were split into control and experimental groups. The experimental group used "Reading Comprehension" mobile phone software to merge traditional teaching with blended learning for two months. An independent samples t-test compared pre-and post-test results. BL improved reading comprehension in the research.

Perovskite-type metal oxides with a nominal chemical formula of Nd1-xBaxCo0.8Fe0.2O3-δ (NBCF) (0 ≤ x ≤ 0.7) were prepared by solid-state synthesis method at 1300 °C in air. All members were found to be multiphase. 4-probe DC chronopotentiometry measurements were performed on the sintered sample pellets. The x = 0.4 member reaches a maximum conductivity of 1068 S/cm at 300 °C in air. Among the samples studied, the x = 0.55 member exhibits the lowest area specific polarization resistance (ASR) of 0.026 Ω cm2 for the oxygen reduction reaction (ORR) at 750 °C in air.

This study aims to propose numerical schemes for fractional time discretization of partial differential equations (PDEs). The scheme is comprised of two stages. Using von Neumann stability analysis, we ensure the robustness of the scheme. The energy balance model for climate change is modified by adding source terms. The local stability analysis of the model is presented. Also, the fractional model in the form of PDEs with the effect of diffusion is given and solved by applying the proposed scheme. The proposed scheme is compared with the existing scheme, which shows a faster convergence of the presented scheme than the existing one. The effects of feedback, deep ocean heat uptake, and heat source parameters on global mean surface and deep ocean temperatures are displayed in graphs. The current study is cemented by the fact-based popular approximations of the surveys and modeling techniques, which have been the focus of several researchers for thousands of years.Mathematics Subject Classification:65P99, 86Axx, 35Fxx. Doi: 10.28991/ESJ-2023-07-03-011 Full Text: PDF

In this article, we introduce a general class of convex functions and proved some of its basic properties. We establish Hermite-Hadamard type inequalities as well as fractional version of Hermite-Hadamard type inequalities by using Riemann-Liouville integral operator. At the end, some application to special means of real numbers are also given. It can be observed from the remarks given in this paper that several exiting results of ligature can be obtained immediacy from our results by taking suitable involved parameters.

Due to its great prevalence and harmful consequences on health, obesity appears to be a serious problem in today's society. Studies have connected obesity with lower blood calcifediol concentrations. Examining the blood vitamin D levels among overweight and non-obese adults as well as adolescents was the goal of the current study, as well as compare how they responded to the similar oral vitamin D3 treatment. The blood vitamin D levels of a small number of obese children and adults and some obese individuals were compared in a non-randomized clinical study. 1 pearl of vitamin D3 (50 000 Iu) was given to those with a blood vitamin D status of thirty milligrams per milliliter (74 occurrences) every week for six weeks. Two weeks after starting therapy, serum vitamin D levels were tested once again. At baseline, individuals with obesity had a frequency of low Vit D level of 42/44 (95.5%) compared to 31/46 (66.6%) of patients with non- obesity (p 0.002). The aforementioned percentages were reduced to 24/43 (55.8%) and 1/30 (3.3%), respectively, following therapy for these individuals (p 0.001). Our investigation showed that patients, especially those who were obese, frequently had vitamin D deficiencies. Moreover, the obese group shows a modest therapeutic response.

This article thoroughly examines the socio-economic requisites of democracy in Pakistan in the context of history. It also discusses the social and economic difficulties faced by Pakistan's due to the uneven transition of democracy. The objective of the research is to evaluate the element related to democratic change and moreover, it investigates the variables connected with Pakistan's democracy decline. This article is descriptive and analytic in nature. Secondary sources such as books, research papers, newspaper articles and reports are used for the collection of data. The findings suggest that Pakistan’s democratic transition has been faced many socio-economic problems. This critical socio-economic condition challenges local security allows the military to take over Pakistan several times. The involvement of the army in government raises many issues related to socio-economic challenges. The patterns of continuous ascent in Islamic hostility have also been related with the military government. Pakistan promotes the religion-nationalistic institution worked as local armies to achieve foreign policies to come up with military governments; therefore, socio-economic development was neglected. As the result, Pakistan faced an uneven transition to democracy.

Background: Odontogenic tumors represent the heterogeneous organization of lesions with numerous histopathological characteristics and medical manifestations. Ameloblastoma is real neoplasm of odontogenic epithelium, constitute one percentage of oral complete ectodermal tumors &9percentage of an odontogenic tumors4. This tumor is benign, which suggests the insidious slowly increase, regionally aggressive having excessive recurrence rate5 Aim: To evaluate radiographical features and root resorption among patients of Ameloblastoma reporting to Dept. of OMFS Study Design: Descriptive Cross-Sectional Study Place and duration of study: Department of Oral and Maxillofacial surgery, Multan Dental College Multan. Duration of this study was 2 years from 1st Jan 2021 to 31th Dec 2022. Methodology: A descriptive audit including all patient records with a histo-pathologically confirmed report of ameloblastoma based on the routine Hematoxylin and Eosin stain. Consecutive non-probability sampling technique was used. Results: One hundred and forty people with an ameloblastoma were contained within ours study amongst whom 45(32.1%) were female and 95(67.9%) were men. 123(87.9%) lesions were found in the mandible. Swelling was mostly told symptoms in 137(97.8%) of all cases. 76(54.3%) showed root resorption. Radiographically, the multilocular appearance accounted for 97(69.3%) while uni-loculancy was present in 43(30.7%) of the lesions. Practical implication: This study help in diagnosis of amelolastoma. This also guides the clinician to differentiate different forms of aelolastoma and differentially diagnose from other radiolucent lesions. Conclusion: This study pointed that ameloblastoma was seen more in men when compared with females Most cases showed root resorption. Mostly ameloblastomas were of multi-locular form/pattern with posterior are of lower jaw as most frequent site involved. Keywords: Ameloblastoma, features, radiolucency & Multi-locular

Mandibular condylar fracturing are a common outcome of mandibular trauma. Condylar and subcondylar injuries benefit best from the retromandibular technique, which also offers the greatest exposure to the joint and ascending ramus. Objective: To determine the efficacy of the retromandibular approach in treating condylar fractures with open reduction and internal fixation (ORIF). Methods: A total of 25 subjects with age range 14 to 55 years having unilateral mandibular condylar fractures with disturbed occlusion utilizingretromandibular approach were included in the study. Relevant information was gathered and evaluated. Results: The average age of the sufferer was 31.18 ± 8.17 years and mean duration of fracture was 5.32 ± 0.73 days. There were 21(84%) male patients and 04 (16%) female sufferers. RTA was the most common mode of injury seen among patients (60%). The shattered segments' anatomic reduction and fixation were successful. The efficacy was 72% on basis of ease of operation and 96% on fracture stability. Conclusion: This technique is effective in term of ease of operation and fracture stability. Scar acceptability can be considered drawback of this procedure

Objective: To determine whether harmonic scalpel has any advantage over Ligasure tonsillectomy or not in terms of blood loss, duration of surgery, pain scores and slough separation time. Study Design: Double Blind Cross Sectional study. Setting: Faisalabad Medical University and Affiliated Institutions. Period: January to June 2022. Material & Methods: Seventy patients in total were selected and divided by Random sampling into two groups to be operated either with Ligasure or Harmonic Scalpel. The difference between the two groups was assessed in terms of pain scores, slough separation time, duration of surgery and blood loss between the two groups. Results: Patients results showed statistical significant difference in the two groups in terms of slough separation time and pain scores but there was no significant difference in terms of blood loss and duration of surgery. Conclusion: Harmonic scalpel does have an advantage over Ligasure tonsillectomy as far as early healing is concerned and thus certainly helps in reducing the morbidity of the patients.

The present study aims to design a Levenberg-Marquardt backpropagation neural network (LMB-NN) integrated numerical computing to investigate the problem of fluid mechanics governing the flow of magnetohydrodynamics micro-polar nanofluid flow over a rotating disk (MHD-MNRD) model along with the partial slip condition. In terms of PDEs, the basic system model MHD-MNRD is transformed into a system of non-linear ODEs by applying the similarity of transformations. For MHD-MNRD scenarios, the comparative dataset of the built LMB-NN procedure is formulated with the technique of Adams numerical by variation of micro-polar parameters, Brownian motion, Lewis number, magnetic parameter, velocity slip parameter and thermophoresis parameter. To compute the approximate solution for MHD-MNRD for various scenarios, validation, testing and training procedures are carried out in accordance to adjust the networks under the backpropagation procedure in terms of the mean square error (MSE). The efficiency of the designed LMB-NN methodology is highlighted by comparative study and performance analysis based on error histograms, MSE analysis, regression and correlation.

The research groups in engineering and technological fields are becoming increasingly interested in the investigations into and utilization of artificial intelligence techniques in order to offer enhanced productivity gains and amplified human capabilities in day-to-day activities, business strategies and societal development. In the present study, the hydromagnetic second-order velocity slip nanofluid flow of a viscous material with nonlinear mixed convection over a stretching and rotating disk is numerically investigated by employing the approach of Levenberg-Marquardt back-propagated artificial neural networks. Heat transport properties are examined from the perspectives of thermal radiation, Joule heating and dissipation. The activation energy of chemical processes is also taken into account. A system of ordinary differential equations (ODEs) is created from the partial differential equations (PDEs), indicating the velocity slip nanofluid flow. To resolve the ODEs and assess the reference dataset for the intelligent network, Lobatto IIIA is deployed. The reference dataset makes it easier to compute the approximate solution of the velocity slip nanofluid flow in the MATLAB programming environment. A comparison of the results is presented with a state-of-the-art Lobatto IIIA analysis method in terms of absolute error, regression studies, error histogram analysis, mu, gradients and mean square error, which validate the performance of the proposed neural networks. Further, the impacts of thermal, axial, radial and tangential velocities on the stretching parameter, magnetic variable, Eckert number, thermal Biot numbers and second-order slip parameters are also examined in this article. With an increase in the stretching parameter's values, the speed increases. In contrast, the temperature profile drops as the magnetic variable's value increases. The technique's worthiness and effectiveness are confirmed by the absolute error range of 10-7 to 10-4. The proposed system is stable, convergent and precise according to the performance validation up to E-10. The outcomes demonstrate that artificial neural networks are capable of highly accurate predictions and optimizations.

This research deals with formulating a multi-species eco-epidemiological mathematical model when the interacting species compete for the same food sources and the prey species have some infection. It is assumed that infection does not spread vertically. Infectious diseases severely affect the population dynamics of prey and predator. One of the most important factors in population dynamics is the movement of species in the habitat in search of resources or protection. The ecological influences of diffusion on the population density of both species are studied. The study also deals with the analysis of the effects of diffusion on the fixed points of the proposed model. The fixed points of the model are sorted out. The Lyapunov function is constructed for the proposed model. The fixed points of the proposed model are analyzed through the use of the Lyapunov stability criterion. It is proved that coexisting fixed points remain stable under the effects of self-diffusion, whereas, in the case of cross-diffusion, Turing instability exists conditionally. Moreover, a two-stage explicit numerical scheme is constructed, and the stability of the said scheme is found by using von Neumann stability analysis. Simulations are performed by using the constructed scheme to discuss the model's phase portraits and time-series solution. Many scenarios are discussed to display the present study's significance. The impacts of the transmission parameter 𝛾 and food resource f on the population density of species are presented in plots. It is verified that the availability of common food resources greatly influences the dynamics of such models. It is shown that all three classes, i.e., the predator, susceptible prey and infected prey, can coexist in the habitat, and this coexistence has a stable nature. Hence, in the realistic scenarios of predator-prey ecology, the results of the study show the importance of food availability for the interacting species.

In this paper, we study the minimizing property for the isosceles trapezoid solutions of the four-body problem. We prove that the minimizers of the action functional restricted to homographic solutions are the Keplerian elliptical solutions, and this functional has a minimum equal to $ \frac{3}{2}(2\pi)^{2/3}T^{1/3}\left(\frac{\xi (a, b)}{\eta (a, b)}\right) ^{2/3} $. Further, we investigate the dynamical behavior in the trapezoidal four-body problem using the Poincaré surface of section method.

As the application of the four competencies for the lecturers in teaching and learning becomes a new business for them to fulfil those competencies (pedagogical, professional, personality, social). This impacts the provision of a new method for students in learning activities so that a teacher could develop a curriculum per the respective educational unit and the local needs of each student. The first pedagogical competence deals with a lecturer's ability to manage the classroom and facilitates the students’ diversity. Sometimes lecturers apply different pedagogic actions to students' perceptions so that what is supposed to be good by lecturers sometimes inversely with students’ intake. This study aimed to facilitate the students' perception regarding the pedagogical perception of a good lecturer. The result is supposed to be some consideration from the lecturer in applied pedagogical action in the classroom.

China and Pakistan launched the CPEC as a massive project to promote free trade and economic development. CPEC is perceived as "game-changer" despite being in its early stages. Previous research has taken into consideration both macro and micro level benefits of CPEC, but they have primarily been conceptually oriented. This study covers the knowledge gap by investigating the possible advantages of CPEC for Pakistani locals and how it is complimenting Sustainable Development Goals. We used the questionnaire method and face to face interview approach to conduct valuable information for the research. The results demonstrate that residents believe their social lives have significantly improved because of the development of CPEC. To maximize the benefits of CPEC, this research suggests the authorities and stakeholders of the project to enhance its involvement in the education, economic and industrial sectors.

The present study was conducted to evaluate the soil’s suitability for the alfalfa crop in Nomal Valley, Gilgit Baltistan (GB), using a variety of physicochemical parameters and free-living soil nematodes as indicators. Ten soil samples from different sites (A1-A10) of the valley were collected in zip-lock plastic bags to test for free-living soil nematodes and physicochemical characteristics. Each sample’s free-living nematodes were extracted using the modified Baermann funnel method and counted using a compound microscope (at 40 and 100X). About 100 nematodes were identified from each sample to the family level. Based on feeding behavior, nematodes were divided into groups. Nematode population densities ranged from 102 to 507. The most prevalent feeding group members were bacterivores, while predators were the least common. Cephalobidae was the most frequently occurring family, which indicates soil’s fertility. Various physiochemical parameters, including soil temperature, pH, electrical conductivity (EC), moisture, bulk density, and texture, were also measured. The ranges for the selected soil parameters were as follows: pH 7.20-7.80, EC 68-252 mS/m, bulk density 0.91-1.37g/cm2, and soil temperature 22-30 ℃. All sites had slit loam soil texture except A-5, which had sandy loam.