Modeling the environmental Kuznets Curve: A stochastic approach using economic and climate data.

This research chooses Pakistan as an ideal case to explore the connection between economic expansion and carbon emissions, by incorporating a novel approach of using coupled stochastic equations to estimate this dynamic interaction.The GDP (Gross domestic product) in Pakistan has been ascending over the time of 1960-2023, with short episodes of stagnation (mid 80s) and decline (1973, 2009). Since 2010, the growth rate has been rising annually, reaching 4.

VALIDITY OF LELLI'S TEST IN DIAGNOSING ACUTE ACL INJURY AND ITS COMPARISON WITH THE OTHER CONVENTIONAL CLINICAL EXAMS.

Background: The anterior cruciate ligament (ACL) is a vital structure in the knee responsible for preventing anterior translation; and countering rotational and valgus stress. The anteromedial and posterolateral bundles of the ACL, which are distinguished by their attachments at the tibia and femur, respectively, make up the ACL. The study is designed to evaluate the diagnostic parameters of lever sign in acute settings when compared against MRI as investigation of choice and compare them with the conventional tests.

The Role of Helmet Therapy in Craniosynostosis: A Systematic Review.

The aim of this study was to determine the impact of helmet therapy (HT) as a treatment for craniosynostosis, with a focus on the outcomes of skull morphology, reoperation rate, complications of HT, and quality of life of patients who receive it. A systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The review utilized the PICO format: Does HT following strip craniectomy (SC) improve outcomes (outcome) compared to SC alone (comparison) in patients undergoing craniosynostosis correction (intervention)? Searches were performed from January 1, 2000 to December 31, 2022, using PubMed, Cochrane Library, and Ovid Medline databases.

Is endoscopic third ventriculostomy a viable treatment option for normal pressure hydrocephalus? A systematic review.

Background: Endoscopic third ventriculostomy (ETV) is considered an alternative treatment for hydrocephalus and has become a standard of care for obstructive hydrocephalus. Recent studies have also explored its role in normal pressure hydrocephalus (NPH). We conducted a systematic review aiming to assess the outcomes of this minimally invasive endoscopic technique as a viable treatment option for NPH.

Prognostic Value of BRAF Mutation in Glioblastoma.

With advances in molecular genetics, exploring targetable mutations for treating glioblastoma (GBM) patients, has become a centre of interest in modern day neuropathology. BRAF mutation has been extensively reported in several brain tumours. Recent studies report identification of BRAF mutation in GBM patients, especially isocitrate dehydrogenase wildtype glioblastomas (IDH-WT GBM), and its potential role in patient outcomes.

Spinal meningiomas: Management and outcomes.

Spinal meningiomas are relatively rare, benign, intradural, extramedullary tumours, that are typically slow-growing and well-defined. Surgery is always the first line for treating spinal meningiomas. Here, we have discussed the existing literature on spinal meningiomas and the role of surgery in determining the outcomes.

Optimizing the dynamics of bone turnover with genetic algorithm.

Control systems and the modeling strategies are not only limited to engineering problems. These approaches can be used in the field of bio-mathematics as well and modern studies have promoted this approach to a great extent. The computational modeling and simulation of bone metastasis is painful yet critical after cancer invades the body.

Adverse effects of methylene blue in peripheral neurons: An electrophysiology and cell culture study.

Methylene blue (MB) is an effective treatment for methemoglobinemia, ifosfamide-induced encephalopathy, cyanide poisoning, and refractory vasoplegia. However, clinical case reports and preclinical studies indicate potentially neurotoxic activity of MB at certain concentrations. The exact mechanisms of MB neurotoxicity are not known, and while the effects of MB on neuronal tissue from different brain regions and myenteric ganglia have been examined, its effects on primary afferent neurons from dorsal root ganglia (DRG) have not been studied.

Modeling the crossover behavior of the bacterial infection with the COVID-19 epidemics.

To explore the crossover linkage of the bacterial infections resulting from the viral infection, within the host body, a computational framework is developed. It analyzes the additional pathogenic effect of Streptococcus pneumonia, one of the bacteria that can trigger the super-infection mechanism in the COVID-19 syndrome and the physiological effects of innate immunity for the control or eradication of this bacterial infection. The computational framework, in a novel manner, takes into account the action of pro-inflammatory and anti-inflammatory cytokines in response to the function of macrophages.

COVID-19 Variants and Transfer Learning for the Emerging Stringency Indices.

The pandemics in the history of world health organization have always left memorable hallmarks, on the health care systems and on the economy of highly effected areas. The ongoing pandemic is one of the most harmful pandemics and is threatening due to its transformation to more contiguous variants. Here in this manuscript, we will first outline the variants and then their impact on the associated health issues.

Heat induction in two-dimensional graphene-FeO nanohybrids for magnetic hyperthermia applications with artificial neural network modeling.

We report the synthesis and characterization of graphene functionalized with iron (Fe) oxide (G-FeO) nanohybrids for radio-frequency magnetic hyperthermia application. We adopted the wet chemical procedure, using various contents of FeO (magnetite) from 0-100% for making two-dimensional graphene-FeO nanohybrids. The homogeneous dispersal of FeO nanoparticles decorated on the graphene surface combined with their biocompatibility and high thermal conductivity make them an excellent material for magnetic hyperthermia.

Fractional boundary element solution of three-temperature thermoelectric problems.

The primary goal of this article is to propose a new fractional boundary element technique for solving nonlinear three-temperature (3 T) thermoelectric problems. Analytical solution of the current problem is extremely difficult to obtain. To overcome this difficulty, a new numerical technique must be developed to solve such problem.

Forecasting of the efficiency of monoclonal therapy in the treatment of CoViD-19 induced by the Omicron variant of SARS-CoV2.

On November 26, 2021, the World Health Organization (WHO) announced a new variant of concern of SARS-CoV2 called Omicron. This variant has biological-functional characteristics such as to make it much faster in the infectious process so as to show an even more intense spread. Although many data are currently incomplete, it is possible to identify, based on the viral biochemical characteristics, a possible therapy consisting of a monoclonal antibody called Sotrovimab.

Computational model to explore the endocrine response to trastuzumab action in HER-2/neu positive breast cancer.

Breast cancer is a very frequent type of cancer and much attention is paid to therapy with considerable efforts both in the pharmacological and clinical fields.The present work aims to create a non-linear dynamic model of action of the drug Trastuzumab against HER-2 + breast cancer, mainly considering its action of ADCP (antibody-dependent phagocytosis) killing of cancer cells. The model, while also considering the other therapeutic effects induced by Trastuzumab, shows how the action of this monoclonal antibody in the induction of ADCP through the action of macrophages, is strictly connected to the formation of a multi-complex "Trastuzumab -HER-2 - macrophage" that shows a prolonged action over time, responsible for the increase in the Overall Survivor (OS) parameter reported in various.

Piecewise differentiation of the fractional order CAR-T cells-SARS-2 virus model.

The pandemic caused by the SARS-CoV2 virus has prompted research into new therapeutic solutions that can be used to treat the CoVid-19 syndrome. As part of this research, immunotherapy, first developed against cancer, is offering new therapeutic horizons also against viral infections. CAR technology, with the production of CAR-T cells (adoptive immunotherapy), has shown applicability in the field of HIV viral infections through second generation CAR-T cells implemented with the "CD4CAR" system with a viral fusion inhibitor.

Forecasting the action of CAR-T cells against SARS-corona virus-II infection with branching process.

The CAR-T cells are the genetically engineered T cells, designed to work specifically for the virus antigens (or other antigens, such as tumour specific antigens). The CAR-T cells work as the living drug and thus provides an adoptive immunotherapy strategy. The novel corona virus treatment and control designs are still under clinical trials.

Furin and the adaptive mutation of SARS-COV2: a computational framework.

SARS-2 virus has reached its most harmful mutated form and has damaged the world's economy, integrity, health system and peace to a limit. An open problem is to address the release of antibodies after the infection and after getting the individuals vaccinated against the virus. The viral fusion process is linked with the furin enzyme and the adaptation is linked with the mutation, called D614G mutation.

Forecasting the impact of environmental stresses on the frequent waves of COVID19.

A novel approach to link the environmental stresses with the COVID-19 cases is adopted during this research. The time-dependent data are extracted from the online repositories that are freely available for knowledge and research. Since the time series data analysis is desired for the COVID-19 time-dependent frequent waves, here in this manuscript, we have developed a time series model with the aid of "nonlinear autoregressive network with exogenous inputs (NARX)" approach.

Self organizing maps for the parametric analysis of COVID-19 SEIRS delayed model.

Since 2019, entire world is facing the accelerating threat of Corona Virus, with its third wave on its way, although accompanied with several vaccination strategies made by world health organization. The control on the transmission of the virus is highly desired, even though several key measures have already been made, including masks, sanitizing and disinfecting measures. The ongoing research, though devoted to this pandemic, has certain flaws, due to which no permanent solution has been discovered.

Delayed Modeling Approach to Forecast the Periodic Behavior of SARS-2.

The ongoing threat of Coronavirus is alarming. The key players of this virus are modeled mathematically during this research. The transmission rates are hypothesized, with the aid of epidemiological concepts and recent findings.

Modeling and simulations of CoViD-19 molecular mechanism induced by cytokines storm during SARS-CoV2 infection.

It is highly desired to explore the interventions of COVID-19 for early treatment strategies. Such interventions are still under consideration. A model is benchmarked research and comprises target cells, virus infected cells, immune cells, pro-inflammatory cytokines, and, anti-inflammatory cytokine.

Forecasting the timeframe of 2019-nCoV and human cells interaction with reverse engineering.

Unlabelled: In December 2019, an atypical pneumonia invaded the city of Wuhan, China, and the causative agent of this disease turned out to be a new coronavirus. In January 2020, the World Health Organization named the new coronavirus 2019-nCoV and subsequently it is referred to as SARS-CoV2 and the related disease as CoViD-19 (Lai et al., 2020).

A computational framework and sensitivity analysis for the hormonal treatment of bone.

Background: Osteoporosis is a bone disease identified by disordering of bone formation and resorption cells. It increases the risk of bone fragility and fracture. Autocrine and paracrine signalling of osteoclasts and osteoblasts plays an important role in the regulation of bone remodelling.