New fabrication of CuFe2O4/PAMAM nanocomposites by an efficient removal performance for organic dyes: Kinetic study.

Today, removing pollutants from water sources is essential because of the population increase and the growing need for safe drinking water. Dyes are one of the most critical pollutants from industrial effluents such as paper and textile industries that profoundly affect the environment. There are several ways to remove environmental contaminants. Magnetic nanoparticles have a high ability to adsorb dyes. Of course, increasing the interaction between magnetic nanomaterials and pollutants is also essential, which can be done using porous materials such as dendrimers. In this work, the synthesis of CuFe2O4 magnetite nanoparticles within the polyamidoamine dendrimers structure was used as an efficient sorbent to remove both alizarin reds (ARS) and brilliant green (BG) dyes. Moreover, various parameters for dyes removal were studied. The optimum removal conditions were obtained for ARS within 30 min at a sorbent dose of 2 mg per 5 mL for the initial dye concentration of 7.0 ppm in pH 6 at 25 °C, and for BG within 45 min at a sorbent dose of 5 mg per 5 mL for the initial dye concentration of 17.0 ppm in pH 8 at 25 °C. At the optimum values of the above parameters, both dyes' removal efficiency was more than 97%. Also, the obtained results showed that the adsorption isotherm follows the Langmuir model and Temkin model for ARS and BG, respectively. This method was successfully used for the removal of both dyes in water samples.

Fluorescence detection of laccases activity by the photoinduced electron transfer (PET) process.

Laccases play a vital role in some physiological processes, for example in morphogenesis, carbon cycle, and defense against parasitism. So, designing a high-sensitivity accurate method is essential for researchers. In this study, a simple fluorescence method based on the function of carbon nitride (g-C3N4) by dopamine is synthesized. For the design of this sensor, carbon nitride (g-C3N4) is initially synthesis by using a simple method, which is carried out by heating melamine at 550 °C for 3 h and modifying it with dopamine by a linker such as glutaraldehyde. However, the g-C3N4-Dopa produced by this method, with an excitation wavelength of 330 nm, has a fluorescence emission at 466 nm. When laccase and g-C3N4-Dopa were mixed, dopamine with redox property was oxidized to dopaquinone; this causes the phenomenon of photoinduced electron transfer (PET) process between g-C3N4 and the dopaquinone. Hence, fluorescence quenching occurs due to this phenomenon. As a result of these discussions, a sensor for the laccase activity was designed based on the fluorescence quenching degree, supporting a linear range of 0.0-400.0 U L-1 with the detection limit of 2.0 U L-1. Using this sensor, the activity of the laccase enzyme in the human serum samples is measured. Dopamine-functionalized carbon nitride was prepared and utilized for the highly sensitive detection of laccases activity.

A hierarchical 3D camellia-like molybdenum tungsten disulfide architectures for the determination of morphine and tramadol.

A practical technique was applied to fabricate MoWS2 nanocomposite through a one-pot hydrothermal method for use as the electrocatalyst. The characterization of MoWS2 nanocomposite was investigated by several techniques to identify the size, crystal structure, and elemental composition. MoWS2 nanocomposite exhibited a unique and well-defined hierarchical structure with neatly and densely piled nanopetals acting as the active sites in the electrocatalytic reactions. A carbon screen-printed electrode (CSPE) modified with interesting MoWS2 nanopetals (MoWS2/CSPE) was constructed. Subsequently, the electrochemical oxidation of morphine on fabricated MoWS2/CSPE was studied. Experimental results confirm that under optimized conditions, the maximum oxidation current of morphine occurs at 275 mV in the case of MoWS2/CSPE that is around 100 mV more negative than that observed in the case of the unmodified CSPE and about 2.6 times increase was observed for the oxidation peak current. The analytical approach was obtained by differential pulse voltammetry in accordance with the relationship between the oxidation peak current and the morphine concentration. The oxidation peak currents for morphine were found to vary linearly with its concentrations in the range of 4.8 × 10-8-5.05 × 10-4 M with the detection limit of 1.44 × 10-8 M. Two completely separated signals occured at the potentials of 275 mV and 920 mV for oxidation of morphine and tramadol at the surface of MoWS2/CSPE which are sufficient for determination of morphine in the presence of tramadol. The presence of morphine was also detected in real samples using the introduced approach. Graphical abstract Schematic representation of fabrication of the MoWS2 nanocomposite through a one-pot hydrothermal method for use as the electrocatalyst. A carbon screen-printed electrode was modified with MoWS2 nanocomposite. Subsequently, the electrochemical oxidation of morphine on the fabricated electrode was studied.

Simultaneous voltammetric determination of glutathione, doxorubicin and tyrosine based on the electrocatalytic effect of a nickel(II) complex and of Pt:Co nanoparticles as a conductive mediator.

Glutathione (GSH) is an important tripeptide that plays an important role in preventing damage to reactive oxygen species. An electrochemical assay was fabricated for this purpose by modification of a carbon paste electrode (CPE) with bis(1,10-phenanthroline)(1,10-phenanthroline-5,6-dione)nickel(II) hexafluorophosphate (BPPDNi) as new electro-catalyst and Pt:Co nanoparticle (Pt:CO-NPs) as highly conductive mediator. The analyses were performed at a scan rate of 10 mV/s and at a pH value of 7.4. The BPPDNi/Pt:CO-NPs/CPE showed a high sensitivity and good selectivity for electro-catalytic determination of glutathione (GSH) in nano-molar concentration range. In addition, the BPPDNi/Pt:CO-NPs/CPE was used for the determination of glutathione in the presence of doxorubicin (DOX) and tyrosine (Tyr) with three separated oxidation signals ~160 mV, ~385 mV and ~790 mV vs. Ag/AgCl/KClsat, respectively. The peak currents of the square wave voltammetric analyses were linearly dependent on glutathione, doxorubicin and tyrosine concentrations in the respective ranges of 0.001-450, 0.5-300 and 1.0-650 µM, with detection limits of 0.5 nM, 0.1 µM and 0.6 µM, respectively. Graphical abstract The first analytical sensor for simultaneous determination of glutathione, doxorubicin and tyrosine.

The effect of presence of family members on the anxiety level of candidates for esophagogastroduodenoscopy: A randomized controlled trial.

Background: Anxiety and its control is a public health problem worldwide. This study was conducted to determine the effect of family members' presence on the anxiety level of patients who were candidates for esophagogastroduodenoscopy (EGD). Methods: This randomized controlled trial study was performed in Shahid Chamran hospital in city of Saveh in IR Iran. In this study, 96 patients who were candidates for EGD and met the inclusion criteria were assigned into control and intervention groups by simple random sampling method. The demographic questionnaire and Spiel Berger's State and Trait Anxiety Questionnaire (STAI) were used to measure anxiety. Results: No significant difference was found between the 2 groups in the mean level of anxiety before intervention (p= 0.13). After intervention, the level of anxiety decreased significantly in the intervention group (p= 0.001). However, the mean level of anxiety was not significant in the control group after intervention (p= 0.09). Conclusion: The results of the present study showed that the presence of family members during endoscopy may reduce the patient's anxiety level, and thus it is recommended as a non-pharmaceutical, beneficial, and safe intervention.

Application of dispersive liquid-liquid-solidified floating organic drop microextraction and ETAAS for the preconcentration and determination of indium.

A new, simple and efficient method, including dispersive liquid-liquid-solidified floating organic drop microextraction and then electrothermal atomic absorption spectrometry, has been developed for the preconcentration and determination of ultratrace amounts of indium. The method was applied to preconcentrate the indium-1-(2-pyridylazo)-2-naphthol complex in 25 µL 1-undecanol. The various factors affecting the extraction efficiency, such as pH, type and volume of extraction solvent, type and volume of disperser solvent, sample volume, ionic strength, and ligand concentration, were investigated and optimized. Under the optimum conditions, an enrichment factor of 62.5, precision of ±4.75%, a detection limit of 55.6 ng L-1, and for the calibration graph a linear range of 96.0-3360 ng L-1 were obtained. The method was used for the extraction and determination of indium in water and standard samples with satisfactory results. Graphical Abstract Preconcentration of indium ions via liquid-liquid-solidified floating organic drop microextraction method and determination by ETAAS.

Determinants of adherence to self-care behavior among women with type 2 diabetes: an explanation based on health belief model.

BACKGROUND: Self-care is an essential element in treating a person with diabetes; and managing diabetes is of prime importance. The aim of this study was to investigate the predictors of adherence to self-care behavior among women with Type 2 diabetes. METHODS: This cross-sectional study was conducted on 210 female patients aged 30 to 60. Data collection tool was an anonymous valid and reliable questionnaire designed based on the Health Belief Model (HBM), which acquired information about the followings: Perceived susceptibility, severity, benefits, barriers, self-efficacy and diabetes self-care behavior. Data were analyzed by t-test, chisquare and regression analysis. RESULTS: The multiple regression models revealed 59.9% of the variance of self-care behavior with self-efficacy, perceived barrier, benefit and susceptibility. Additionally, the highest weight for ß (ß=0.87) was found for self-efficacy. Self-care behavior was positively correlated with all HBM variables except for perceived barriers showing a negative correlation. CONCLUSION: The Health Belief Model may be used as a framework to design intervention programs in an attempt to improve adherence to self-care behaviors of women with diabetes. In addition, the results indicated that self-efficacy might play a more crucial role in developing self-care behaviors than t other HBM components. Therefore, if the focus is placed on self-efficacy when developing educational programs, it may increase the likelihood of adherence to self-care behavior.

Does the theory-driven program affect the risky behavior of drug injecting users in a healthy city? A quasi-experimental study.

BACKGROUND: The horror of HIV/AIDS as a non-curable, grueling disease is a destructive issue for every country. Drug use, shared needles and unsafe sex are closely linked to the transmission of HIV/AIDS. Modification or changing unhealthy behavior through educational programs can lead to HIV prevention. The aim of this study was to evaluate the efficiency of theory-based education intervention on HIV prevention transmission in drug addicts. METHODS: In this quasi-experimental study, 69 male drug injecting users were entered in to the theory- based educational intervention. Data were collected using a questionnaire, before and 3 months after four sessions (group discussions, lecture, film displaying and role play) of educational intervention. RESULTS: The findings signified that the mean scores of constructs (self-efficacy, susceptibility, severity and benefit) significantly increased after the educational intervention, and the perceived barriers decreased (p< 0.001). Also, the history of HIV testing was reported to be 9% before the intervention, while the rate increased to 88% after the intervention. CONCLUSION: The present research offers a primary founding for planning and implementing a theory based educational program to prevent HIV/AIDS transmission in drug injecting addicts. This research revealed that health educational intervention improved preventive behaviors and the knowledge of HIV/AIDS participants.

Column preconcentration and electrothermal atomic absorption spectrometric determination of rhodium in some food and standard samples.

In the present work, an electrothermal atomic absorption spectrometric method has been developed for the determination of ultra-trace amounts of rhodium after adsorption of its 2-(5-bromo-2-pyridylazo)-5-diethylaminophenol/tetraphenylborate ion associated complex at the surface of alumina. Several factors affecting the extraction efficiency such as the pH, type of eluent, sample and eluent flow rates, sorption capacity of alumina and sample volume were investigated and optimized. The relative standard deviation for eight measurements of 0.1 ng/mL of rhodium was ±6.3%. In this method, the detection limit was 0.003 ng/mL in the original solution. The sorption capacity of alumina and the linear range for Rh(III) were evaluated as 0.8 mg/g and 0.015-0.45 ng/mL in the original solution, respectively. The proposed method was successfully applied for the extraction and determination of rhodium content in some food and standard samples with high recovery values.

Health locus of control and self-care behaviors in diabetic foot patients.

BACKGROUND: Diabetic foot affects more than 25% of diabetic patients and finally up to 20% of cases result in amputation. The most important factor resulting in severe complications or even death is lack of self-care. Health locus of control has been introduced as one of health factors and predicting factors of self-care. This research was performed for analyzing the correlation between self-care behaviors and health locus of control in diabetic foot patients. METHODS: In this descriptive study, 120 patients with diabetic foot were chosen using convenience sampling from endocrine clinic and wards of endocrine and vascular surgery of Teleqani Hospital of Shahid Beheshti Medical University. The data were gathered by demographic, self-care behavior, and health locus of control questionnaires. The t-test, analysis of variance (ANOVA) and spearman coefficient were used to analyze the data. RESULTS: RESULTS of this research showed that there is a direct and significant relation between selfcare behaviors and internal health locus of control (p<0.001), and also in contrast with chance health locus of control (p<0.001). CONCLUSION: We have to consider these factors' role in nursing interventions and patient-care education programs and plans. Probably, interventions and programs that will lead to the strengthening of internal health locus of control improve and strengthen patients' self-care behaviors and their involvement in treatment.

Correlation between compliance regimens with health locus of control in patients with hypertension.

BACKGROUND: Epidemiological changes leading to chronic diseases are becoming more important day by day. Hypertension is also known as a chronic disease. Worldwide prevalence of hypertension have caused serious complications. The disease has become a health problem in all communities. This research aims at analyze the correlation between compliance with the treatment regimen and health locus of control in hypertension patients. METHODS: In this study, 130 patients diagnosed with high blood pressure have been included using convenience sampling. Information has been gathered including demographic data, compliance with the treatment regimen and health locus of control. The patient's blood pressure was measured twice and the mean was compared with the first blood pressure recorded in medical records. Data were analyzed using SPSS 17. RESULTS: The results showed that there is a direct correlation between the adherence to the treatment regimen with internal health locus of control. In patients with internal health locus of control, better compliance with treatment regimen was detected. CONCLUSION: Health locus of control is associated with treatment regimen. Considering health locus control can help nurses and managers in their health programs and also can motivate patients to participate in their self-care and improve patients care quality.

Determination of ultra trace amounts of copper by a multi-injection technique of electrothermal atomic absorption spectrometry after using solid-phase extraction.

A new method using a multi-injection technique combined with SPE was developed for the determination of copper (Cu) in environmental samples. The method is based on SPE of copper ions on naphthalene as its 2-(5-bromo-2-pyridylazo)- 5-diethylaminophenol (5-Br-PADAP)-ammonium tetraphenylborate complex, in the pH range 6.0-9.5, and determined by electrothermal atomic absorption spectrometry. No chemical modifier is required in the graphite furnace. The detection limit can be reduced to 1.5 ng/L using an injection volume of 25.0 µL (five 5.0 µL) without interference by the matrixes. The optimum pyrolysis and atomization temperatures were 500 and 2200°C, respectively, for the concentrated solution of Cu. The sensitivity for 1% absorption was 2.6 pg Cu. Eight replicate determinations for 0.1 µg Cu in 5.0mL dimethylformamide gave an RSD of 2.3% for a single injection and 2.7% for a multi-injection. The procedure was validated with certified reference materials and successfully applied to the determination of copper in water and plant samples.

Separation and preconcentration of trace amounts of rhodium using a dispersive liquid-liquid microextraction method and its determination by flame atomic absorption spectrometry.

A sensitive and selective method for the determination of low levels of rhodium (Rh) in environmental samples is needed. In the proposed method, an extracting solvent with a lower toxicity and density than the other solvents typically used in dispersive liquid-liquid microextraction was used to extract trace amounts of Rh from aqueous samples. Rh ions were complexed with 1-(2-pyridylazo)-2-naphthol in the pH range of 3.2-4.7 and extracted with dispersive liquid-liquid microextraction. The type and volume of the extracting solvent and dispersive solvent, centrifugation time, pH, amount of the chelating agent, and sample ionic strength were carefully studied. Under the optimal conditions, the LOD and RSD were 0.36 ng/mL (3Sb/m, n = 7) and +/-2.0% (n = 7), respectively. The calibration curve was linear in the range of 4.0-800 ng/mL. The method was applied to the determination of Rh in well and tap water, and spiked recoveries were in the range of 96-103.7%.

Use of nanoporous Cu(II) ion imprinted polymer as a new sorbent for preconcentration of Cu(II) in water, biological, and agricultural samples and its determination by electrothermal atomic absorption spectrometry.

A new and selective Cu(ll) ion imprinted polymer was prepared by formation of 1-(2-pyridylazo)-2-naphthol complex for selective extraction and preconcentration of Cu ions. Polymerization was performed with ethylene glycol dimethacrylate as a crosslinking monomer and methacrylic acid as a functional monomer in the presence of 2,2'-azobis(isobutyronitrile) as an initiator via a bulk polymerization method. The Cu(ll) imprinted polymeric particles were characterized by scanning electron microscopy and IR spectrometry. The imprint Cu ion was removed from the polymeric matrix using 2 M HNO3. Optimum pH for maximum sorption was 5-8. Maximum sorbent capacity and the enrichment factor for Cu(ll) were 11.3 mg/g and 100, respectively. The RSD and LOD of the method were evaluated as +/-4.3% and 8.7 ng/L, respectively. The proposed method is simple, highly selective, and sensitive and can be applied to the determination of ultratrace amounts of Cu in water, biological, and agricultural samples.

Determination of nickel in water, food, and biological samples by electrothermal atomic absorption spectrometry after preconcentration on modified carbon nanotubes.

A new and sensitive SPE method using modified carbon nanotubes for extraction and preconcentration, and electrothermal atomic absorption spectrometric determination of nickel (Ni) in real samples at ng/L levels was investigated. First, multiwalled carbon nanotubes were oxidized with concentrated HNO3, then modified with 2-(5-bormo-2-pyridylazo)-5-diethylaminophenol reagent. The adsorption was achieved quantitatively on a modified carbon nanotubes column in a pH range of 6.5 to 8.5; the adsorbed Ni(II) ions were then desorbed by passing 5.0 mL of 1 M HNO3. The effects of analytical parameters, including pH of the solution, eluent type and volume, sample volume, flow rate of the eluent, and matrix ions, were investigated for optimization of the presented procedure. The enrichment factor was 180, and the LOD for Ni was 4.9 ng/L. The method was applied to the determination of Ni in water, food, and biological samples, and reproducible results were obtained.

Application of nanoclay for preconcentration of ultra trace amounts of palladium in environmental samples prior to its determination by ETAAS.

In the present work, a batch preconcentration technique using nanoclay with 5-(4-dimethylaminobenzylidene)rhodanine coupled with electrothermal atomic absorption spectrometry was developed for the separation and determination of trace amounts of palladium. In this method, the sample solution was stirred with nanoclay as an adsorbent. Then, adsorbed palladium was subsequently eluted with HCl in acetone (1.5 mol L−1) and, finally, this eluate was injected to electrothermal atomic absorption spectrometry. Under the optimum conditions, the limit of detection and linear dynamic range were found to be 2.6 and 10.0­133 ng L−1 (in original solution), respectively. Furthermore, the enrichment factor and relative standard deviation of seven replicate determinations were 148 and ±5.1 %, respectively. This suggested method is simple, selective and sensitive and can be applied to the extraction and determination of palladium in water, tea leaves, synthetic sample and certified reference material with satisfactory results.

Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision.

Human anatomy is the foundation of medical imaging and boasts one striking characteristic: its hierarchy in nature, exhibiting two intrinsic properties: (1) locality: each anatomical structure is morphologically distinct from the others; and (2) compositionality: each anatomical structure is an integrated part of a larger whole. We envision a foundation model for medical imaging that is consciously and purposefully developed upon this foundation to gain the capability of "understanding" human anatomy and to possess the fundamental properties of medical imaging. As our first step in realizing this vision towards foundation models in medical imaging, we devise a novel self-supervised learning (SSL) strategy that exploits the hierarchical nature of human anatomy. Our extensive experiments demonstrate that the SSL pretrained model, derived from our training strategy, not only outperforms state-of-the-art (SOTA) fully/self-supervised baselines but also enhances annotation efficiency, offering potential few-shot segmentation capabilities with performance improvements ranging from 9% to 30% for segmentation tasks compared to SSL baselines. This performance is attributed to the significance of anatomy comprehension via our learning strategy, which encapsulates the intrinsic attributes of anatomical structures-locality and compositionality-within the embedding space, yet overlooked in existing SSL methods. All code and pretrained models are available at GitHub.com/JLiangLab/Eden.

Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?

Discriminative, restorative, and adversarial learning have proven beneficial for self-supervised learning schemes in computer vision and medical imaging. Existing efforts, however, fail to capitalize on the potentially synergistic effects these methods may offer in a ternary setup, which, we envision can significantly benefit deep semantic representation learning. Towards this end, we developed DiRA, the first framework that unites discriminative, restorative, and adversarial learning in a unified manner to collaboratively glean complementary visual information from unlabeled medical images for fine-grained semantic representation learning. Our extensive experiments demonstrate that DiRA: (1) encourages collaborative learning among three learning ingredients, resulting in more generalizable representation across organs, diseases, and modalities; (2) outperforms fully supervised ImageNet models and increases robustness in small data regimes, reducing annotation cost across multiple medical imaging applications; (3) learns fine-grained semantic representation, facilitating accurate lesion localization with only image-level annotation; (4) improves reusability of low/mid-level features; and (5) enhances restorative self-supervised approaches, revealing that DiRA is a general framework for united representation learning. Code and pretrained models are available at https://github.com/JLiangLab/DiRA.

Descriptive Epidemiology of Early-Onset Gastrointestinal Cancers in Iran, 2014-2018.

Background: We aim to present incidence rates and geographical distribution of most common early-onset gastrointestinal cancers (EOGICs), including early-onset esophageal cancer (EOEC), gastric cancer (EOGC) and colorectal cancer (EOCRC) in Iran, 2014-2018. Methods: Data on new cases of EOEC, EOGC and EOCRC were obtained from publicly available annual reports of the Iranian National Population-based Cancer Registry (INPCR). Incidence rates were calculated using the population data available from the Statistical center of Iran. We considered the World standard population for calculation of age-standardized incidence rates (ASR). We also calculated 95% confidence intervals (CIs) for ASR. All rates are presented per 100000 person-years. Results: Overall, 19,679 new cases of EOGIC were registered by the INPCR between 2014 and 2018. The ASRs (95% CI) of EOEC, EOGC and EOCRC were 0.49 (95% CI: 0.47-0.51), 1.67 (1.63-1.71), and 3.07 (3.01-3.13) per 100,000 person-years, respectively. Our findings indicate decreasing and constant trends in the ASR of EOEC and EOGC during the study period, 2014-2018. There was an increasing trend in the ASR of EOCRC. We also found geographical disparities in the incidence rates of EOGICs across provinces of Iran, suggesting the highest ASRs of EOEC in Golestan (1.3), EOGC in Ilam (2.99) and EOCRC in Ilam (4.49). Conclusion: Our findings suggested that the incidence rate of EOCRC is consistently increasing. We also found variations in the incidence of EOGICs among different provinces. Further investigations are recommended to clarify the time trends and risk factors of EOGICs in Iran.