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In this article, palladated-magnetic nitrogen doped porous carbon was prepared from nano magnetic γ- Fe 2 O 3 hollow sphere (h-Fe 2 O 3 ) with high specific surface area and pore volume. To the purpose, initially h-Fe 2 O 3 was prepared and covered with glucose via hydrothermal treatment with subsequent polymerization of organic shell. The polymerization of melamine-resorcinol–formaldehyde (MRF) was achieved in the presence of Cl-functionalized glucose coated h-Fe 2 O 3 (h-Fe 2 O 3 @glu-MRF). Next, the prepared magnetic core–shell hollow sphere was palladated followed by carbonization to yield Pd@h-Fe 2 O 3 @C introducing more pores in its structure. The resulted compound, Pd@h-Fe 2 O 3 @C, was fully characterized, showing that carbonization process expressively increased the specific surface area. The resulted Pd@h-Fe 2 O 3 @C was successfully used for promoting C–C coupling reactions under mild reaction conditions as a heterogeneous catalyst and its activity was compared with some prepared control catalysts. This novel catalyst was magnetically separated simply by a magnet bar and recycled and reused at least in five consecutive runs, without considerable loss of its activity. It is note mentioning that, high recyclability with low Pd leaching are another gains of this protocol.

This study investigated a one-step green pyrolysis method inspired by chemical vapor deposition, utilizing melamine and zinc nitrate precursors with varying sulfur content for degradation and adsorption of tetracycline. The method effectively synthesized a ZnS/MoS 2 heterojunction composite supported on a porous carbon substrate. It takes advantage of the gases (such as CO 2 , CO, and H 2 O) naturally released during pyrolysis to serve as internal activating agents. In contrast to traditional techniques that rely on inert atmospheres, chemical additives, or complicated high-temperature setups, this method minimizes both the ecological footprint and procedural complexity. The optimal composite, PCS2 (synthesized with 2 g of sulfur), exhibited the lowest band gap of 2.91 eV and the highest specific surface area of 216.83 m 2  g −1 , making it the most effective among the tested samples. This composite achieved 55% adsorption of pollutants and demonstrated a total removal efficiency of 81% for tetracycline. The addition of scavengers revealed that the primary active species in the reaction were holes. This synthesized method shows great promise for preparing heterojunction structures, making it highly suitable for removing organic pollutants from contaminated water.

In the realm of astrophysical numerical calculations, the demand for enhanced computing power is imperative. The time‐consuming nature of calculations, particularly in the domain of solar convection, poses a significant challenge for Astrophysicists seeking to analyze new data efficiently. Because they let different kinds of data be worked on separately, parallel algorithms are a good way to speed up this kind of work. A lot of this study is about how to use both multi‐core computers and GPUs to do math work about solar energy at the same time. Cutting down on the time it takes to work with data is the main goal. This way, new data can be looked at more quickly and without having to practice for a long time. It works well when you do things in parallel, especially when you use GPUs for 3D tasks, which speeds up the work a lot. This is proof of how important it is to adjust the parallelization methods based on the size of the numbers. But for 2D math, computers with more than one core work better. The results not only fix bugs in models of solar convection, but they also show that speed changes a little based on the gear and how it is processed. Optimizing Solar Calculations: The Role of Parallel Algorithms and GPUs in Astrophysical Research.

In recent decades, emerging data have highlighted the critical role of extracellular vesicles (EVs), especially (exosomes) Exos, in the progression and development of several cancer types. These nano-sized vesicles are released by different cell lineages within the cancer niche and maintain a suitable platform for the interchange of various signaling molecules in a paracrine manner. Based on several studies, Exos can transfer oncogenic factors to other cells, and alter the activity of immune cells, and tumor microenvironment, leading to the expansion of tumor cells and metastasis to the remote sites. It has been indicated that the cell-to-cell crosstalk is so complicated and a wide array of factors are involved in this process. How and by which mechanisms Exos can regulate the behavior of tumor cells and non-cancer cells is at the center of debate. Here, we scrutinize the molecular mechanisms involved in the oncogenic behavior of Exos released by different cell lineages of tumor parenchyma. Besides, tumoricidal properties of Exos from various stem cell (SC) types are discussed in detail.

Introduction Occupation plays an important role in the spread of infectious diseases in humans. Toxoplasmosis and hydatidosis are world-wide diseases with different routes of transmission. This study aimed to investigate the prevalence of toxoplasmosis and hydatidosis and risk factors associated with these diseases among the butchers of Tabriz City, the northwest of Iran. Methods In this case-control study conducted in Tabriz city in 2023, 250 serum samples were collected from butchers ( n  = 125) and outpatients referred to Imam Reza Hospital ( n  = 125) and. The ELISA test was used to identify IgG and IgM antibodies against toxoplasmosis and IgG antibodies against hydatidosis. The results were analyzed by statistics tests using SPSS v. 16 software. Risk factors’ association was tested using Chi square or logistic regression analysis. Results The results indicated that 66/125 (52.8%) cases and 40/125 controls (32%) were positive for toxoplasmosis IgG antibody. Also, 5/125 (4%) and 1/125 (0.8%) were positive for toxoplasmosis IgM antibody in the case and control groups, respectively. In addition, 10/125 people (8%) were positive for anti-hydatidosis IgG antibody in the case group, while no positive cases were found in the control group. The main risk factors for toxoplasmosis were age (OR: 1.014), education level (OR: 0.638), and work experience(OR: 1.695), these factors for hydatidosis included age and education level (OR: 1.765 and 0.271) respectivily. Conclusions Our results suggest the high prevalence of toxoplasmosis and in butchers of Tabriz, which required special attention and basic measures. Moreover, the prevalence of hydatidosis IgG antibodies also requires more attention to be focused on breaking the transmission and reducing the infection.

A novel hybrid magnetic ionic-liquid as a heterogeneous catalyst was synthesized by hybridization of imidazolium based-ionic liquid onto the nitrogen rich magnetic nanocomposite. The resulting catalyst (n-Fe 3 O 4 @SiO 2 -TA-SO 3 H IL) has two advantages besides recyclability: (i) high capacity of functional-SO 3 H group with imidazolium-IL cation for promoting symmetric and asymmetric Hantzsch reaction and (ii) easy recovery. Caused by the polymeric and magnetic nature of the n-Fe 3 O 4 @SiO 2 -TA-SO 3 H IL, large quantities of acidic groups were bound to the n-Fe 3 O 4 @SiO 2 -TA surface, which reduced the catalyst mass applied to the catalytic reaction. Moreover, superior catalytic performance and outstanding recyclability of n-Fe 3 O 4 @SiO 2 -TA-SO 3 H IL in mild condition make this method a green pathway for manufacture of satisfactory chemicals.

Background With shared modes of transmission and clinical symptoms the convergence of COVID-19 and tuberculosis (TB) might lead to reduced diagnosis and detection of TB, which is challenging for healthcare systems already strained by the pandemic's reach. Methods This ecological study investigated the impact of the COVID-19 pandemic on TB surveillance over the first 2 years of the pandemic (March 2020 to February 2022) in southeastern Iran. Interrupted Time Series (ITS) analysis with the quasi-Poisson regression models was used to estimate the relative risk (RR) of TB diagnosis and treatment outcome counts, stratified by gender, case definition, involvement type, and treatment outcomes. Results The ITS analyses showed a significant decrease in TB total cases (RR: 0.622 [95% CI: 0.487, 0.793], P  < 0.001), new cases (RR: 0.632 [95% CI: 0.493, 0.810], P  < 0.001) and recurrent cases (RR: 0.491 [95% CI: 0.247, 0.974], P  < 0.001). In addition, recovery and treatment failure counts also showed significant decreases (RR: 0.751 [95% CI: 0.566, 0.996], P  = 0.05; RR: 0.201 [95% CI: 0.054, 0.738], P  = 0.02). Moreover, significant decreases are observed in both genders and involvement types (pulmonary and extrapulmonary TB). No significant change was observed for absent to treatment and death counts. Conclusion The COVID-19 pandemic has negatively impacted TB diagnosis and treatments. Concerns are risen about the progress achieved in TB control.

The intersection of nanotechnology and pharmacology has revolutionized the delivery and efficacy of chemotherapeutic agents, notably docetaxel, a key drug in cancer treatment. Traditionally limited by poor solubility and significant side effects, docetaxel’s therapeutic potential has been significantly enhanced through its incorporation into nanoplatforms, such as nanofibers and nanoparticles. This advancement offers targeted delivery, controlled release, and improved bioavailability, dramatically reducing systemic toxicity and enhancing patient outcomes. Nanofibers provide a versatile scaffold for the controlled release of docetaxel, utilizing techniques like electrospinning to tailor drug release profiles. Nanoparticles, on the other hand, enable precise drug delivery to tumor cells, minimizing damage to healthy tissues through sophisticated encapsulation methods such as nanoprecipitation and emulsion. These nanotechnologies not only improve the pharmacokinetic properties of docetaxel but also open new avenues in regenerative medicine by facilitating targeted therapy and cellular regeneration. This narrative review highlights the transformative impact of docetaxel-loaded nanoplatforms in oncology and beyond, showcasing the potential of nanotechnology to overcome the limitations of traditional chemotherapy and pave the way for future innovations in drug delivery and regenerative therapies. Through these advancements, nanotechnology promises a new era of precision medicine, enhancing the efficacy of cancer treatments while minimizing adverse effects. Graphical Abstract

Background One of the modifiable risk factors for cardiovascular diseases is the inter-arm blood pressure difference (IAD), which can be easily measured. This study aimed to determine the prevalence and factors related to the Iranian population’s inter-arm differences in systolic and diastolic blood pressure. Method This cross-sectional study was conducted on the baseline data of participants who had Iranian nationality, were at least 1 year of residence in the area, aged within the age range of 35–70 years, and willed to participate from the Fasa Persian Adult Cohort Study (FACS). IAD for systolic and diastolic blood pressure was measured and categorized into two groups of difference < 10 and ≥ 10 mmHg. Logistic regression was used to model the association between independent variables and IAD. Results The prevalence of systolic and diastolic IAD ≥ 10 mmHg was 16.34% and 10.2%, respectively, among 10,124 participants. According to the multivariable logistic regression models, age (adjusted odds ratio (aOR): 1.019 [95% CI: 1.013, 1.025]), body mass index (BMI) (aOR: 1.112 [95% CI: 1.016, 1.229]), having type 2 diabetes (aOR Yes/No : 1.172 [95% CI: 1.015, 1.368]), having chronic headaches (aOR Yes/No : 1.182 [95% CI: 1.024, 1.365]), and pulse rate (aOR: 1.019 [95% CI: 1.014, 1.024]) significantly increased the odds of systolic IAD ≥ 10 mmHg. Additionally, high socio-economic status decreased the odds of systolic IAD ≥ 10 mmHg (aOR High/Low : 0.854 [95% CI: 0.744, 0.979]). For diastolic IAD, age (aOR: 1.112 [95% CI: 1.015, 1.210]) and pulse rate (aOR: 1.021 [95% CI: 1.015, 1.027]) significantly increased the odds of diastolic IAD ≥ 10 mmHg. Moreover, high socioeconomic status decreased the odds of diastolic IAD ≥ 10 mmHg (aOR High/Low : 0.820 [95% CI: 0.698, 0.963]). Conclusion The noticeable prevalence of systolic and diastolic IAD in general population exhibits health implications due to its’ association with the risk of cardiovascular events. Sociodemographic and medical history assessments have potentials to be incorporated in IAD risk stratification and preventing programs.

Background The triglyceride glucose (TyG) and triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL-c) are the indices that can predict the progression of pre-diabetes to type 2 diabetes mellitus (T2DM). This study aimed to examine the relationship between TyG and TG/HDL-c indices with the incidence of T2DM in pre-diabetes patients. Methods A total of 758 pre-diabetic patients aged 35–70 years who were enrolled in a prospective Fasa Persian Adult Cohort were followed up for 60 months. TyG and TG/HDL-C indices were obtained at baseline data and divided into quartiles. The 5-year cumulative incidence of T2DM was analyzed by Cox proportional hazards regression analysis while controlling for baseline covariates. Results During 5 years of follow-up, there were 95 incident cases of T2DM, with an overall incidence rate of 12.53%. After adjusting for age, sex, smoking, marital status, socioeconomic status, body mass index, waist circumference, hip circumference, hypertension, total cholesterol, and dyslipidemia, the multivariate-adjusted hazard ratios (HRs) demonstrated that patients with the highest TyG and TG/HDL-C indices quartile were at higher risk of T2DM (HR = 4.42, 95%CI 1.75–11.21) and (HR = 2.15, 95%CI 1.04–4.47), respectively, compared to participants in the lowest quartile. As the quantiles of these indices increase, the HR value shows a significant increment ( P  < 0.05). Conclusion The results of our study showed that the TyG and TG/HDL-C indices can be important independent predictors for the progression of pre-diabetes to T2DM. Therefore, controlling the components of these indicators in pre-diabetes patients can prevent developing T2DM or delay its occurrence.