299,984 results match your criteria: "Iran; and ¶Harvard Medical School[Affiliation]"

Previous investigations have revealed the role of GABAergic and serotonergic systems in the modulation of pain behavior. This research aimed to examine the effects of intracerebroventricular (i.c.

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Implanting pacemakers in patients with isolated persistent left superior vena cava (PLSVC) present unique challenges. Recognizing venous anomalies and adapting lead placement techniques are crucial for successful outcomes and stable pacemaker function.

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In this study, we present the design, synthesis, and utilization of a covalent triazine framework (CTF) formed by the condensation of , , -tris(4-(aminomethyl)benzyl)-1,3,5-triazine-2,4,6-triamine and 2,4,6-tris(4-formylphenoxy)-1,3,5-triazine on which silica is immobilized (TPT-TAT/silica) as an innovative catalyst for porphyrins synthesis. Under solvothermal conditions, the condensation of triamine and trialdehyde precursors led to the formation of a covalent triazine framework (CTF) with a high nitrogen content. The resulting CTF is characterized by its extensive porosity and elevated nitrogen levels, which are critical for the creation of catalytic active sites.

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Background: Tabletop Disaster Exercise (TDE) is a unique learning method through simulation designed to improve disaster preparedness. It is used every year to train health workers and students in disaster preparedness. However, no review has summarized the potential of TDE.

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Background: The life expectancy (LE) index reflects health changes in society, highlighting trends in health quality and quantity. This study focused on analysing the impact of the top 10 causes of death on the global increase in LE in 2019.

Methods: Data on the top 10 causes of death in 2019 were obtained from the Global Burden of Disease website and a period life table was used to assess how eliminating these causes would impact LE.

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Metal tellurides, known for their superior electrical conductivity and excellent electrochemical properties, are promising candidates for supercapacitor applications. This study introduces a novel method involving a metal-organic framework hybrid to synthesize CoTe@CoFeTe double-shelled nanocubes. Initially, zeolitic imidazolate framework-67 (ZIF67) and CoFe Prussian blue analog (PBA) nanocubes are synthesized through an anion-exchange reaction with [Fe(CN)] ions.

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Background: Ketamine is a promising drug for analgesia in emergency medicine, but a high rate of side effects is a barrier to whispered usage. We hypothesized that ketamine bolus followed by ketamine infusion would provide a more even and longer duration of analgesia and lower rates of side effects in comparison to bolus-only administration.

Methods: This was a double-blinded, clinical trial.

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Effects of Feed Supplementation With Fulvic Acid on the Systemic and Mucosal Protective Mechanisms of Juvenile Rainbow Trout (Oncorhynchus mykiss).

J Anim Physiol Anim Nutr (Berl)

January 2025

Faculty of Fisheries and Protection of Waters, South Bohemian Research Centre of Aquaculture and Biodiversity of Hydrocenoses, Institute of Aquaculture and Protection of Waters, University of South Bohemia, České Budějovice, Czech Republic.

Rainbow trout (Oncorhynchus mykiss) is an important fish species raised in aquaculture, but it is susceptible to stress, infections diseases. The present study aimed to determine the effects of fulvic acid feed addition on the systemic and mucosal protective mechanisms of juvenile rainbow trout and to elucidate the underlying molecular mechanisms of changes in the gut. Rainbow trout (4.

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The most important aspect of sorbent-based approaches is the use of a sustainable, readily available, and cost-effective sorbent material for sample analysis. Biochar is an emerging and prominent sorbent material for various applications in sorbent-based techniques due to its availability, affordability, eco-friendly nature, porosity, pore structure, abundance of aliphatic and aromatic carbon structures, and abundant oxygen-containing functional groups. On the basis of the numerous benefits of biochar, this review discusses why biochar is the preferred sorbent in sorptive-based techniques.

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Background: Socioeconomic inequality in nutritional status as one of the main social determinants of health can lead to inequality in health outcomes. In the present study, the socioeconomic inequality in the burden of nutritional deficiencies among the countries of the world using Global Burden of Disease (GBD) data was investigated.

Methods: Burden data of nutritional deficiencies and its subsets including protein-energy malnutrition, iodine deficiency, vitamin A deficiency, and dietary iron deficiency form GBD study and Human Development Index (HDI), a proxy for the socio-economic status of countries, from united nations database were collected.

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Objectives: This data note presents a comprehensive geodatabase of cardiovascular disease (CVD) hospitalizations in Mashhad, Iran, alongside key environmental factors such as air pollutants, built environment indicators, green spaces, and urban density. Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions.

Data Description: This dataset includes detailed epidemiologic and geospatial information on CVD hospitalizations in Mashhad, Iran, from January 1, 2016, to December 31, 2020.

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Schizophrenia is one of the most debilitating mental illnesses affecting any age group. The mechanism and etiology of schizophrenia are extremely complex and multiple signaling pathways recruit genes implicated in the etiology of this disease. While the role of Wnt/β-catenin signaling in this disorder has been verified, the impact of long noncoding RNAs (lncRNAs) associated with this pathway has not been studied in schizophrenia.

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Background And Purpose: The purpose of reflection in the learning process is to create meaningful and deep learning. Considering the importance of emphasizing active and student-centered methods in learning and the necessity of learners' participation in the education process, the present study was conducted to investigate the effect of flipped classroom teaching method on the amount of reflection ability in nursing students and the course of professional ethics.

Study Method: The current study is a quasi-experimental study using Solomon's four-group method.

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Background: Paraquat (PQ) is a widely used pesticide, can cause severe intoxication and respiratory failure. Myrtenol (Mrl), an essential oil derived in various plants, exhibits several biological properties, including anti-inflammatory and antioxidant activities. This study aims to investigate the protective potential of Mrl against oxidative stress and inflammation caused by PQ exposure.

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Introduction: Communication disorders are one of the most common disorders that, if not treated in childhood, can cause many social, educational, and psychological problems in adulthood. One of the technologies that can be helpful in these disorders is mobile health (m-Health) technology. This study aims to examine the attitude and willingness to use this technology and compare the advantages and challenges of this technology and face-to-face treatment from the perspective of patients.

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Background: Cognitive networks impairments are common in neuropsychiatric disorders like Attention Deficit Hyperactivity Disorder (ADHD), bipolar disorder (BD), and schizophrenia (SZ). While previous research has focused on specific brain regions, the role of the procedural memory as a type of long-term memory to examine cognitive networks impairments in these disorders remains unclear. This study investigates alterations in resting-state functional connectivity (rs-FC) within the procedural memory network to explore brain function associated with cognitive networks in patients with these disorders.

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Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review.

BMC Cancer

January 2025

Department of Data Science, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran.

Background: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is crucial to improve patient outcomes. Dermoscopy, a non-invasive imaging technique, aids in melanoma detection but can be limited by subjective interpretation. Recently, machine learning and deep learning techniques have shown promise in enhancing diagnostic precision by automating the analysis of dermoscopy images.

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Background: LncRNA PCAT-1 is known to promote cancer proliferation, invasion, and metastasis. However, its significance in HNSCC is not fully understood. This research investigates how the PCAT-1 / miR-145-5p / FSCN-1 axis promote HNSCC.

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In this study, Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) were developed to estimate the equilibrium solubility and partial pressure of CO in blended aqueous solutions of diisopropanolamine (DIPA) and 2-amino-2-methylpropanol (AMP). In this study, several key parameters were analyzed to understand the behavior of the aqueous DIPA/AMP system for CO capture. Including DIPA (9-21 wt%), AMP (9-21 wt%), temperature (323.

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Despite significant advancements in gene delivery and CRISPR technology, several challenges remain. Chief among these are overcoming serum inhibition and achieving high transfection efficiency with minimal cytotoxicity. To address these issues, there is a need for novel vectors that exhibit lower toxicity, maintain stability in serum-rich environments, and effectively deliver plasmids of various sizes across diverse cell types.

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This study aims to utilize secondary aluminum dross waste to synthesize Fe-Al layered double hydroxide (Fe-Al LDH) for efficient adsorption of arsenic from drinking water. The synthesis process was based on a multi-step hydrometallurgical approach, in which the aluminum content in the waste was first converted to sodium aluminate. This was followed by the transformation into Fe-Al LDH through a series of processes, including gelation, sol formation, simultaneous precipitation, and aging.

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Metachromatic leukodystrophy (MLD) is an autosomal recessive disorder caused by mutations in the arylsulfatase A (ARSA) gene. Few studies have assessed the spectrum of ARSA mutations among Iranian patients. Here, we report eight Iranian patients with clinical features of MLD.

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This paper proposes a hybrid stochastic-robust optimization framework for sizing a photovoltaic/tidal/fuel cell (PV/TDL/FC) system to meet an annual educational building demand based on hydrogen storage via unscented transformation (UT), and information gap decision theory-based risk-averse strategy (IGDT-RA). The hybrid framework integrates the strengths of UT for scenario generation and IGDT-RA (hybrid UT-IGDT-RA) for optimizing the system robustness and maximum uncertainty radius (MRU) of building energy demand and renewable resource generation. The deterministic model focuses on minimizing the cost of energy production over the project's lifespan (CEPLS) and considers a reliability constraint defined as the demand shortage probability (DSHP).

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