101 research outputs found

    Synthesis of pyridone derivatives using 2D rod like bifunctional Fe based MOF and CuO nanocomposites as a novel heterogeneous catalyst

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    Abstract In this study, a new and efficient Rod-like bifunctional Fe-based MOF@CuO nanocomposites (RL BF Fe-based MOF@CuO NC) were synthesized as new and efficient heterogeneous catalyst through a simple method from easily available 1,3,5-benzenetricarbocylic acid linker, nitrate ferric as a source of iron and copper oxide (CuO) nanoparticles under microwave irradiation. The synthesized nanocatalysts were characterized with different techniques such as Brunauer–Emmett–Teller (BET), energy dispersive spectroscopy (EDS), field emission scanning electron microscopy (FE-SEM), mapping, transmission electron microscopy (TEM), X-ray diffraction (XRD), vibrating sample magnetometer (VSM), thermogravimetric analysis (TGA) and Fourier transform infrared spectroscopy (FT-IR). The RL BF Fe-based MOF@CuO NC had relatively high specific surface area (203 m2 g−1) while exhibiting superparamagnetic properties. The catalytic activity of RL BF Fe-based MOF@CuO NC was explored in a facile and green methodology to prepare diverse N‑amino-2-pyridones by one-pot four component reactions comprising aromatic aldehyde, malononitrile, methyl cyanoacetate and hydrazine hydrate within mild and solvent-free conditions. This protocol enjoys features like providing the final products during low reaction times in excellent yields under solvent-free conditions. The use of easily available and inexpensive reactants for the synthesis of the catalyst, environmental compatibility, low catalyst loading, fast and clean work-up and reusability of catalyst for several cycles with consistent activity are counted as the outstanding features of this procedure

    Optimal Scheduling of a Hydrogen-Based Energy Hub Considering a Stochastic Multi-Attribute Decision-Making Approach

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    Nowadays, the integration of multi-energy carriers is one of the most critical matters in smart energy systems with the aim of meeting sustainable energy development indicators. Hydrogen is referred to as one of the main energy carriers in the future energy industry, but its integration into the energy system faces different open challenges which have not yet been comprehensively studied. In this paper, a novel day-ahead scheduling is presented to reach the optimal operation of a hydrogen-based energy hub, based on a stochastic multi-attribute decision-making approach. In this way, the energy hub model is first developed by providing a detailed model of Power-to-Hydrogen (P2H) facilities. Then, a new multi-objective problem is given by considering the prosumer’s role in the proposed energy hub model as well as the integrated demand response program (IDRP). The proposed model introduces a comprehensive approach from the analysis of the historical data to the final decision-making with the aim of minimizing the system operation cost and carbon emission. Moreover, to deal with system uncertainty, the scenario-based method is applied to model the renewable energy resources fluctuation. The proposed problem is defined as mixed-integer non-linear programming (MINLP), and to solve this problem, a simple augmented e-constrained (SAUGMECON) method is employed. Finally, the simulation of the proposed model is performed on a case study and the obtained results show the effectiveness and benefits of the proposed scheme

    The Covid-19 pandemic had polarizing effects on trait scores depending on a person's resilience and predispositions: A longitudinal prospective study

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    While Covid-19 is, first and foremost, a pernicious physical illness, its highly contagious nature has led to significant disruption in social life and psychological stress, occasionally resulting in dire mental health consequences that are still not fully understood. To address this issue, a prospective longitudinal design study was conducted by administering standard self-reporting questionnaires covering the NEO-five factor inventory (NEO-FFI), shyness, alexithymia, autism quotient, anxiety, depression, and sensory processing sensitivity (SPS). A total of 114 participants (of which 71.93% were females) with an average age of 30.29 (standard deviation = 11.04) completed the survey before and a few months after the pandemic. Results revealed the distribution of population scores to become more extreme in either positive or negative trait directions despite the stability of average trait scores across the population. Higher resilience was found to be positively correlated with improved trait scores post-pandemic but corona anxiety score was not correlated with trait score changes. In addition, in the subjects with moderate negative trait scores, agreeableness and autism scores and in subjects with high negative trait scores, openness, SPS and shyness scores were significantly correlated with trait scores changes post-pandemic. These results reveal the nuanced effects of the pandemic on the people's psychological well-being and highlight vulnerabilities for certain groups despite the overall stability of population that needs to be taken into account for mental health policies going forward

    Stimulus presentation can enhance spiking irregularity across subcortical and cortical regions.

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    Stimulus presentation is believed to quench neural response variability as measured by fano-factor (FF). However, the relative contributions of within-trial spike irregularity and trial-to-trial rate variability to FF fluctuations have remained elusive. Here, we introduce a principled approach for accurate estimation of spiking irregularity and rate variability in time for doubly stochastic point processes. Consistent with previous evidence, analysis showed stimulus-induced reduction in rate variability across multiple cortical and subcortical areas. However, unlike what was previously thought, spiking irregularity, was not constant in time but could be enhanced due to factors such as bursting abating the quench in the post-stimulus FF. Simulations confirmed plausibility of a time varying spiking irregularity arising from within and between pool correlations of excitatory and inhibitory neural inputs. By accurate parsing of neural variability, our approach reveals previously unnoticed changes in neural response variability and constrains candidate mechanisms that give rise to observed rate variability and spiking irregularity within brain regions

    The relationship between genetic variants associated with primary ovarian insufficiency and lipid profile in women recruited from MASHAD cohort study

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    Background and aim: Primary Ovarian Insufficiency (POI) is defined by the occurrence of menopause before the age of 40 years. It is often associated with cardiovascular disease (CVD). The purpose of this study was to explore the relationship between POI-associated genotypes cardiometabolic disorder risk factors. Methods: One hundred seventeen women with POI and one hundred eighty-three healthy women without POI were recruited in this study. DNA was extracted and analyzed using ASO-PCR or Tetra ARMS-PCR. Lipid profiles were also assessed. Results: Multivariate logistic regression analysis showed that individuals with GG vs. TT genotype of the rs1046089 SNP were more likely to have a higher serum LDL (p = 0.03) compared to the control group. There was also a significant association between low serum HDL and rs2303369 and rs4806660 SNP genotypes in the POI group. In the POI group, the percentage of those with high total cholesterol was lower in those with a CC genotype compared to those with a TT genotype (p = 0.03). Conclusion: Some SNPs reported to be associated with POI appear to be independently associated with dyslipidemia. These results may be helpful to identify subjects with POI who may be susceptible to CVD

    A Post-Marketing Surveillance Study to Evaluate the Safety Profile of AlvotereⓇ (Docetaxel) in Iranian Patients Diagnosed with Different Types of Cancers Receiving Chemotherapy

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    Background Docetaxel is a clinically well established antimitotic chemotherapy medication. Labeled docetaxel indications are breast cancer, gastric cancer, head and neck cancer, non–small cell lung cancer, and prostate cancer. Objective This is a Phase IV study to evaluate the safety profile of docetaxel (Alvotere; NanoAlvand, Iran) in Iranian patients diagnosed with different types of cancers receiving chemotherapy regimens with docetaxel. Methods Patients who received Alvotere as a part of their chemotherapy regimen were enrolled in this Phase IV, observational, multicenter, open-label study. Alvotere was administrated as a single agent or in combination with other chemotherapy agents. Safety parameters in each cycle were assessed, and the related data were recorded in booklets. Findings A total of 411 patients with different types of cancers were enrolled from 25 centers in Iran. The most common malignancies among participants were breast cancer (49.88%), followed by gastric cancer (22.63%). Participants’ mean age was 53.33 years, and the mean total dose used in each cycle was 132 mg. According to the results, 341 patients experienced at least 1 adverse event, that the most common was alopecia (41.12%). In total, 92 (22.38%) patients had at least 1 adverse event of grade 3 or 4, and 25 (6.08%) patients showed 54 serious adverse events, which the causality assessment for all was possibly related to Alvotere. There was a significant difference between men and women in the incidence of skin and subcutaneous tissue disorders (55.63% in women vs 41.73% in men; P = 0.009). Also, the incidence of gastrointestinal disorders, nervous system disorders, skin and subcutaneous tissue disorders, hepatic enzymes increase, and fluid retention was significantly higher (P < 0.05) in patients receiving anthracyclines in their chemotherapy regimens. Conclusions The findings of this open-label, observational, multicenter, postmarketing surveillance showed that Alvotere appears to have an acceptable safety profile in Iranian cancer patients receiving chemotherapeutic regimens. (Curr Ther Res Clin Exp. 2022; 82:XXX–XXX) © 2022 Elsevier HS Journals, Inc

    The Improvement Rate of Otitis Media with Effusion in Children under Gastroesophageal Reflux Therapy

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    Background: Otitis media with effusion (OME) is one of the most common causes of hearing impairment in children and if not treated, can result in many complications. It seems that gastroesophageal reflux disease (GERD) plays an important role in OME. Aim: to determine the improvement rate of otitis media with effusion in children under gastroesophageal reflux therapy. Methods: The study was conducted as a retrospective study. Medical records of forty children with OME were reviewed. Some patients were treated with antibiotic and anti-reflux. The others were managed only with antibiotic. All patients were treated for 2 weeks. Two weeks after treatment complement, the response rates of patients were determined by clinical examination and tympanometry. Type A, C, and B tympanometry were interpreted as a good, moderate, and no response respectively. Pre-and post-treatment conditions were compared. Results: Overall 78 ears (40 in in the anti-reflux therapy group and 38 in the other group) were enrolled in the survey. The overall good, moderate, and no responses to medical treatment were 35.9%, 35.9%, and 28.2%, respectively. Among 40 ears in the anti-reflux therapy group, the rates of good, moderate, and no response were 50%, 37.5%, and 12.5%, respectively. These rates in 38 other ears were 21%, 34.2%, and 44.8% respectively. The differences between two groups were statistically significant (all p-value of &lt;0.05). Conclusion: Anti-reflux therapy should be considered as an essential component of medical management in the children with OME

    Additive manufacturing and its impacts on manufacturing industries in the future concerning the sustainability of AM

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    With the emergence of modern technologies in manufacturing processes, companies need to adapt themselves to these technologies to stay competitive. Additive Manufacturing is one of the upcoming technologies which will bring major changes to the manufacturing process. AM (Additive Manufacturing) offers flexibility in design, production size, customization, etc., Even though there are numerous advantages from the implementation of AM technologies less than 2% of the manufacturing industries use them for production. The purpose of the thesis was to study the impact of AM on manufacturing industries in 5-10 years and the barriers it is facing for widespread diffusion. Additionally, its impact on Sustainability aspects is also studied. A literature review was conducted to understand the current AM processes, their applications in different manufacturing sectors, their impact on business strategies, operations, and Product Life cycle. From the study, it was concluded that AM technologies are still in their maturing state and has a lot of uncertainties that it must overcome. The most notable barriers being implementation costs, limited materials, and protection of Intellectual property. The thesis also presents the projection for AM in 2030. AM is advantageous for Environmental and Economic sustainability with very little research on Societal sustainability
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