Optimizing Scan Time and Bayesian Penalized Likelihood Reconstruction Algorithm in Copper-64 PET/CT Imaging: A Phantom Study.

OBJECTIVES: The aim of this study was to evaluate Cu-64 PET phantom image quality using Bayesian Penalized Likelihood (BPL) and Ordered Subset Expectation Maximum with point-spread function modeling (OSEM-PSF) reconstruction algorithms. In the BPL, the regularization parameter ß was varied to identify the optimum value for image quality. In the OSEM-PSF, the effect of acquisition time was evaluated to assess the feasibility of shortened scan duration. Methods: A NEMA IEC PET body phantom was filled with known activities of water soluble Cu-64. The phantom was imaged on a PET/CT scanner and was reconstructed using BPL and OSEM-PSF algorithms. For the BPL reconstruction, various ß values (150, 250, 350, 450, and 550) were evaluated. For the OSEM-PSF algorithm, reconstructions were performed using list-mode data intervals ranging from 7.5 to 240 seconds. Image quality was assessed by evaluating the signal to noise ratio (SNR), contrast to noise ratio (CNR), and background variability (BV). Results: The SNR and CNR were higher in images reconstructed with BPL compared to OSEM-PSF. Both the SNR and CNR increased with increasing ß, peaking at ß = 550. The CNR for all ß, sphere sizes and tumor-to-background ratios (TBRs) satisfied the Rose criterion for image detectability (CNR > 5). BPL reconstructed images with ß = 550 demonstrated the highest improvement in image quality. For OSEM-PSF reconstructed images with list-mode data duration > 120 seconds, the noise level and CNR were not significantly different from the baseline 240-second list-mode data duration. Conclusions: BPL reconstruction improved Cu-64 PET phantom image quality by increasing SNR and CNR relative to OSEM-PSF reconstruction. Additionally, this study demonstrated scan time can be reduced from 240 to 120 seconds when using OSEM-PSF reconstruction while maintaining similar image quality. This study provides baseline data that may guide future studies aimed to improve clinical Cu-64 imaging.

Formulation and optimization of a single-layer coat for targeting budesonide pellets to the descending Colon.

The current budesonide formulations are inadequate for addressing left-sided colitis, and patients might hesitate to use an enema for a prolonged time. This study focuses on developing a single-layer coating for budesonide pellets targeting the descending colon. Pellets containing budesonide (1.5%w/w), PVP K30 (5%w/w), lactose monohydrate (25%w/w) and Avicel pH 102 (68.5%w/w) were prepared using extrusion spheronization technique. Coating formulations were designed using response surface methodology with pH and time-dependent Eudragits. Dissolution tests were conducted at different pH levels (1.2, 6.5, 6.8, and 7.2). Optimal coating formulation, considering coating level and the Eudragit (S + L) ratio to the total coating weight, was determined. Budesonide pellets were coated with the optimized composition and subjected to continuous dissolution testing simulating the gastrointestinal tract. The coating, with 48% S, 12% L, and 40% RS at a 10% coating level, demonstrated superior budesonide delivery to the descending colon. Coated pellets had a spherical shape with a uniform 30 µm thickness coating, exhibiting pH and time-dependent release. Notably, zero-order release kinetics was observed for the last 9 h in colonic conditions. The study suggests that an optimized single-layer coating, incorporating pH and time-dependent polymers, holds promise for consistently delivering budesonide to the descending colon.

The effects of Fasciola hepatica recombinant proteins (peroxiredoxin and cathepsin L1) on Crohn's disease experimental model.

The immunomodulatory potential of the excretory-secretory (E/S) proteins of the helminths has been shown in previous investigations. This study evaluated the effects of the recombinants and excretory-secretory proteins of the Fasciola hepatica on induced colitis in Balb/c mice. The F. hepatica Recombinant proteins, Cathepsin L1 and Peroxiredoxin, and E/S proteins were intraperitoneally injected into the three mice groups as the case groups, while the control groups received PBS. Colitis was induced in mice by intraluminal administration of the 2, 4, 6-Trinitrobenzenesulfonic acid solution (TNBS). After 8 h, the case groups received the second dosage of the treatments, and it was repeated 24 h later. The immunological, pathological, and macroscopic changes were evaluated 3 days after colitis induction. The macroscopic evaluation revealed significantly lower inflammatory scores in the mice treated with recombinant Peroxiredoxin (rPRX) and recombinant Cathepsin L1 (rCL1). Despite the macroscopic observation, the pathological finding was insignificant between the groups. IFN-γ secretion was significantly lower in splenocytes of the groups that received rPRX, rCL1, and E/S than the controls. IL-10 showed significantly higher levels in groups treated with rPRX and rCL1 than controls, whereas the level of IL-4 was not statistically significant. Excretory-secretory proteins of the F. hepatica showed immunomodulatory potency and the main effects observed in this study were through the reduction of inflammatory cytokine and inflammation manifestation as well as induction of anti-inflammatory cytokines.

Hospital Cost of Inflammatory Bowel Disease and Its Determinants in a Multicenter Study From Iran.

Background: In the current era of monitoring healthcare costs for patients with inflammatory bowel disease (IBD), there has been a shift in the pattern of such costs. In this cross-sectional study conducted in three hospitals in Iran from 2015 to 2021, we aimed to assess the in-hospital costs of IBD and identify predictors of higher total hospital costs in hospitalized patients with IBD. Methods: This cross-sectional study was conducted at three hospitals in Iran. For the purpose of this study, we collected demographic and clinical information, as well as cost data for patients with IBD. Two non-parametric statistical procedures, classification and regression trees (CARTs) and quantile regression forests (QRFs), were employed to identify the main factors related to hospital costs of IBD, which served as the dependent variable in our analysis. Results: During 7 years, 930 admissions occurred in these three hospitals. 22.3% of patients (138 of 619) were readmitted, and 306 (49.4%) were male. The mean age of the patients was 33 (SD=18.9) years. A total of 454 patients (73.3%) had ulcerative colitis (UC), and 165 patients (26.7%) had Crohn's disease (CD). Hotelling and medication costs accounted for the largest share of the total hospital costs, with percentages of 30.61% and 23.40%, respectively. Length of stay (LOS) was found to be the most important variable related to hospital costs of IBD in both QRF and CART models, followed by age and year of hospital admission in QRF. Additionally, in the CART model, hospital type and year of hospital admission were also significant predictors of hospital costs for patients with IBD. Conclusion: The present study showed that LOS, age, year of admission, and the hospital where the patient is admitted are all important factors that determine hospital costs for patients with IBD. Patients admitted for 20.5 days or longer had the highest hospital costs. These findings can be used as thresholds for future DRG policies.

Risk of head and neck cancer in relation to blood inflammatory biomarkers in the Swedish AMORIS cohort.

Background: Inflammation is critically involved in the development of human cancer, and blood inflammatory biomarkers have been proposed to indicate the risk of different cancer types. Methods: Using the Swedish Apolipoprotein-Related Mortality Risk (AMORIS) Cohort (N=812,073), we first performed a time-to-event analysis to evaluate the association of the baseline level of 12 blood inflammatory biomarkers measured during 1985-1996 with the subsequent risk of head and neck cancer (HNC) identified through the nationwide Swedish Cancer Register until end of 2020. A nested case-control study was further conducted to demonstrate the longitudinal trends of the studied biomarkers during the 30-year period prior to diagnosis of HNC. Results: In the time-to-event analysis, we identified a total of 2,510 newly diagnosed HNC cases. There was an increased risk of HNC per standard deviation (SD) increase of haptoglobin (hazard ratio [HR]: 1.25; 95% confidence interval [CI]: 1.21-1.30), leukocytes (HR: 1.22; 95%CI: 1.17-1.28), sedimentation rate (HR: 1.17; 95%CI: 1.07-1.29), and monocytes (HR: 1.34; 95%CI: 1.07-1.68) at baseline, after adjustment for age, sex, fasting status, occupational status, and country of birth. In contrast, there was a decreased risk of HNC per SD increase of lymphocytes in % (HR: 0.85; 95%CI: 0.73-0.99) and lymphocyte-to-monocyte ratio (LMR) (HR: 0.81; 95%CI: 0.69-0.95) at baseline. In the nested case-control study using repeatedly measured biomarker levels, we found that individuals with HNC had consistently higher levels of haptoglobin, leukocytes, sedimentation rate, and monocytes, as well as consistently lower levels of lymphocytes in % and LMR, during the 30-year period prior to diagnosis, compared to controls. Conclusion: Based on a cohort of more than half a million participants with up to 35 years of follow-up, our findings provide solid evidence supporting the presence of alterations in blood inflammatory biomarkers during the decades before diagnosis of HNC.

The effects of various penalty parameter values in Q.Clear algorithm for rectal cancer detection on 18F-FDG images using a BGO-based PET/CT scanner: a phantom and clinical study.

BACKGROUND: The Q.Clear algorithm is a fully convergent iterative image reconstruction technique. We hypothesize that different PET/CT scanners with distinct crystal properties will require different optimal settings for the Q.Clear algorithm. Many studies have investigated the improvement of the Q.Clear reconstruction algorithm on PET/CT scanner with LYSO crystals and SiPM detectors. We propose an optimum penalization factor (ß) for the detection of rectal cancer and its metastases using a BGO-based detector PET/CT system which obtained via accurate and comprehensive phantom and clinical studies. METHODS: 18F-FDG PET-CT scans were acquired from NEMA phantom with lesion-to-background ratio (LBR) of 2:1, 4:1, 8:1, and 15 patients with rectal cancer. Clinical lesions were classified into two size groups. OSEM and Q.Clear (ß value of 100-500) reconstruction was applied. In Q.Clear, background variability (BV), contrast recovery (CR), signal-to-noise ratio (SNR), SUVmax, and signal-to-background ratio (SBR) were evaluated and compared to OSEM. RESULTS: OSEM had 11.5-18.6% higher BV than Q.Clear using ß value of 500. Conversely, RC from OSEM to Q.Clear using ß value of 500 decreased by 3.3-7.7% for a sphere with a diameter of 10 mm and 2.5-5.1% for a sphere with a diameter of 37 mm. Furthermore, the increment of contrast using a ß value of 500 was 5.2-8.1% in the smallest spheres compared to OSEM. When the ß value was increased from 100 to 500, the SNR increased by 49.1% and 30.8% in the smallest and largest spheres at LBR 2:1, respectively. At LBR of 8:1, the relative difference of SNR between ß value of 100 and 500 was 43.7% and 44.0% in the smallest and largest spheres, respectively. In the clinical study, as ß increased from 100 to 500, the SUVmax decreased by 47.7% in small and 31.1% in large lesions. OSEM demonstrated the least SUVmax, SBR, and contrast. The decrement of SBR and contrast using OSEM were 13.6% and 12.9% in small and 4.2% and 3.4%, respectively, in large lesions. CONCLUSIONS: Implementing Q.Clear enhances quantitative accuracies through a fully convergent voxel-based image approach, employing a penalization factor. In the BGO-based scanner, the optimal ß value for small lesions ranges from 200 for LBR 2:1 to 300 for LBR 8:1. For large lesions, the optimal ß value is between 400 for LBR 2:1 and 500 for LBR 8:1. We recommended ß value of 300 for small lesions and ß value of 500 for large lesions in clinical study.

Healing effects of autologous platelet gel and growth factors on cutaneous leishmaniasis wounds in addition to antimony; a self-controlled clinical trial with randomized lesion assignment.

OBJECTIVE: Autologous platelet gel (APG) is used in most surgeries to treat a variety of tissue defects because of its healing factors composition. This randomized parallel clinical trial was conducted to investigate the healing effects of APG on cutaneous leishmaniasis (CL) wounds. Eighteen male patients with CL wounds were recruited and followed for two months. The patients had more than one cutaneous wound, one of which was examined as the control and the other one as the intervention wound. APG was applied to the intervention wounds once a week, up to eight times. The primary endpoint was wound healing which defined as complete epithelialization and tissue granulation. Other clinical evaluation criteria were assessment of the wound size, and histopathology analyses. RESULTS: Of 18 patients, 15 patients completed the trial (83.3%, mean age 28 years). The use of APG on the wounds was associated with complete and faster healing in 66% of the wounds and partial healing in 34% of the wounds. During the study, none of the control wounds were completely healed. The wound area in the intervention cases showed a statistically significant decrease throughout the study (P < 0.01) compared with controls. Following treatment of CL lesions with APG, the inflammatory process in the epidermis and dermis were decreased significantly (P < 0.01) compared with controls. CONCLUSION: Our preliminary results confirm the clinical healing improvement described in the literature for APG-GF treatment of chronic non-leishmania wounds via immunomodulation. TRIAL REGISTRATION: IRCT, IRCT20190212042694N1. Registered 20 February 2019, https://en.irct.ir/trial/37522.

Fabrication and characterization of an antibacterial chitosan-coated allantoin-loaded NaCMC/SA skin scaffold for wound healing applications.

The field of tissue engineering has recently emerged as one of the most promising approaches to address the limitations of conventional tissue replacements for severe injuries. This study introduces a chitosan-coated porous skin scaffold based on sodium carboxymethyl cellulose (NaCMC) and sodium alginate (SA) hydrogels, incorporating allantoin (AL) as an antibacterial agent. The NaCMC/SA hydrogel was cross-linked with epichlorohydrin (ECH) and freeze-dried to obtain a three-dimensional porous structure. The coated and non-coated scaffolds underwent comprehensive evaluation and characterization through various in-vitro analyses, including SEM imaging, swelling, degradation, and mechanical assessments. Furthermore, the scaffolds were studied regarding their allantoin (AL) release profiles, antibacterial properties, cell viability, and cell adhesion. The in-vitro analyses revealed that adding a chitosan (CS) coating and allantoin (AL) to the NaCMC/SA hydrogel significantly improved the scaffolds' antibacterial properties and cell viability. It was observed that the NaCMC:SA ratio and ECH concentration influenced the swelling capacity, biodegradation, drug release profile, and mechanical properties of the scaffolds. Samples with higher NaCMC content exhibited enhanced swelling capacity, more controlled allantoin (AL) release, and improved mechanical strength. Furthermore, the in-vivo results demonstrated that the proposed skin scaffold exhibited satisfactory biocompatibility and supported cell viability during wound healing in Wistar rats, highlighting its potential for clinical applications.

Potentials of Stem Cell Therapy in Patients Infected with COVID19: A Systematic Review.

INTRODUCTION: In the present study, we have examined different aspects and potentials of stem cells for the management of patients infected with COVID-19. BACKGROUND: The novel coronavirus disease (COVID-19) has been reported in most of the countries and territories (>230) of the world with ∼686 million confirmed cases (as of Apr. 22, 2023). While the scientific community is working to develop vaccines and develop drugs against the COVID-19 pandemic, novel alternative therapies may reduce the mortality rate. Recently, the application of stem cells for critically ill COVID-19 patients in a small group of patients has been examined. METHODS: We searched PubMed, Web of Science, and Google Scholar up to July 2022. Those studies that reviewed COVID-19 and cell therapy potentials were entered into the study. Moreover, some recently published patents were exploited and reviewed. Patentscope, USPTO, Espacenet, Free Patents Online, and Google Patents were used for patent searches. RESULTS: Cell-based therapy as a modality of regenerative medicine is considered one of the most promising disciplines in the fields of modern science and medicine. Such an advanced technology offers endless possibilities for transformative and potentially curative treatments for some of the most life-threatening diseases. This therapeutic tool can be useful to reduce the rate of mortality. There have been several published patents for different stem cell therapy platforms in recent years. CONCLUSION: Stem cell therapy could be considered a safe and effective therapeutic strategy to reduce death cases in patients infected with COVID-19. Besides, stem cell therapy might increase the pulmonary functions in the patients, it suppresses the occurring inflammations and ameliorates the symptoms.

Phantom and clinical evaluation of Block Sequential Regularized Expectation Maximization (BSREM) reconstruction algorithm in 68Ga-PSMA PET-CT studies.

In this study, we aimed to examine the effect of varying ß-values in the block sequential regularized expectation maximization (BSREM) algorithm under differing lesion sizes to determine an optimal penalty factor for clinical application. The National Electrical Manufacturers Association phantom and 15 prostate cancer patients were injected with 68Ga-PSMA and scanned using a GE Discovery IQ PET/CT scanner. Images were reconstructed using ordered subset expectation maximization (OSEM) and BSREM with different ß-values. Then, the background variability (BV), contrast recovery, signal-to-noise ratio, and lung residual error were measured from the phantom data, and the signal-to-background ratio (SBR) and contrast from the clinical data. The increment of BV using a ß-value of 100 was 120.0%, and the decrement of BV using a ß-value of 1000 was 40.5% compared to OSEM. As ß decreased from 1000 to 100, the [Formula: see text] increased by 59.0% for a sphere with a diameter of 10 mm and 26.4% for a sphere with a diameter of 37 mm. Conversely, [Formula: see text] increased by 140.5% and 29.0% in the smallest and largest spheres, respectively. Furthermore, the Δ[Formula: see text] and Δ[Formula: see text] were - 41.1% and - 36.7%, respectively. In the clinical study, OSEM exhibited the lowest SBR and contrast. When the ß-value was reduced from 500 to 100, the SBR and contrast increased by 69.7% and 71.8% in small and 35.6% and 33.0%, respectively, in large lesions. Moreover, the optimal ß-value decreased as lesion size decreased. In conclusion, a ß-value of 400 is optimal for small lesion reconstruction, while ß-values of 600 and 500 are optimal for large lesions in phantom and clinical studies, respectively.

Disability and persistent motor deficits are linked to structural crossed cerebellar diaschisis in chronic stroke.

Brain imaging has significantly contributed to our understanding of the cerebellum being involved in recovery after non-cerebellar stroke. Due to its connections with supratentorial brain networks, acute stroke can alter the function and structure of the contralesional cerebellum, known as crossed cerebellar diaschisis (CCD). Data on the spatially precise distribution of structural CCD and their implications for persistent deficits after stroke are notably limited. In this cross-sectional study, structural MRI and clinical data were analyzed from 32 chronic stroke patients, at least 6 months after the event. We quantified lobule-specific contralesional atrophy, as a surrogate of structural CCD, in patients and healthy controls. Volumetric data were integrated with clinical scores of disability and motor deficits. Diaschisis-outcome models were adjusted for the covariables age, lesion volume, and damage to the corticospinal tract. We found that structural CCD was evident for the whole cerebellum, and particularly for lobules V and VI. Lobule VI diaschisis was significantly correlated with clinical scores, that is, volume reductions in contralesional lobule VI were associated with higher levels of disability and motor deficits. Lobule V and the whole cerebellum did not show similar diaschisis-outcome relationships across the spectrum of the clinical scores. These results provide novel insights into stroke-related cerebellar plasticity and might thereby promote lobule VI as a key area prone to structural CCD and potentially involved in recovery and residual motor functioning.

Cancer risk following surgical removal of tonsils and adenoids - a population-based, sibling-controlled cohort study in Sweden.

BACKGROUND: Removal of tonsils and adenoids is among the most common surgical procedures worldwide. Evidence of increased risk of cancer following such surgery is, however, inconclusive. METHODS: We conducted a population-based, sibling-controlled cohort study of 4,953,583 individuals in Sweden with a follow-up during 1980-2016. History of tonsillectomy, adenotonsillectomy, and adenoidectomy was identified from the Swedish Patient Register whereas incident cases of cancer during follow-up were identified from the Swedish Cancer Register. We used Cox models to calculate hazard ratios (HR) with 95% confidence intervals (CI) of cancer in both a population and a sibling comparison. The sibling comparison was used to assess the potential impact of familial confounding, due to shared genetic or non-genetic factors within a family. RESULTS: We found a modestly increased risk for any cancer following tonsillectomy, adenoidectomy, or adenotonsillectomy in both the population (HR 1.10; 95%CI 1.07-1.12) and sibling (HR 1.15; 95%CI 1.10-1.20) comparisons. The association did not differ greatly by type of surgery, age at surgery, or potential indication for surgery, and persisted more than two decades after surgery. An excess risk was consistently observed for cancer of the breast, prostate, thyroid, and for lymphoma in both population and sibling comparisons. A positive association was observed for pancreatic cancer, kidney cancer, and leukemia in the population comparison whereas a positive association was observed for esophageal cancer in the sibling comparison. CONCLUSIONS: Surgical removal of tonsils and adenoids is associated with a modestly increased risk of cancer during the decades following the surgery. The association is unlikely attributed to confounding due to shared genetic or non-genetic factors with a family.

Comparison of 5-ASA layered or matrix pellets coated with a combination of ethylcellulose and eudragits L and s in the treatment of ulcerative colitis in rats.

The aim of this study was to evaluate and optimize the combination of time and pH-dependent polymers as a single coating for the design of the colon-specific drug delivery system of 5-aminosalicylic acid (5-ASA) pellets. 5-ASA matrix pellets with a 70% drug load were prepared by the extrusion-spheronization method. The optimal coating formula which included Eudragit S (ES) + Eudragit L (EL) + Ethylcellulose (EC) was predicted for the targeted drug delivery to the colonic area by a 32 factorial design. The ratio of ES:EL:EC and coating level were considered as independent variables while the responses were the release of less than 10% of the drug within 2 h (Y1), the release of 60-70% within 10 h at pH 6.8 (Y2) and lag time of less than 1 h at pH 7.2 (Y3). Also, 5-ASA layered pellets were prepared by the powder layering of 5-ASA on nonpareils (0.4-0.6 mm) in a fluidized bed coater and then coated with the same optimum coating composition. The coated 5-ASA layered or matrix pellets were tested in a rat model of ulcerative colitis (UC) and compared with the commercial form of 5-ASA pellets (Pentasa®). The ratio of ES:EL:EC of 33:52:15 w/w at a coating level of 7% was discovered as the optimum coating for the delivery of 5-ASA matrix pellets to the colon. The coated 5-ASA pellets were spherical with uniform coating as shown by SEM and met all of our release criteria as predicted. In-vivo studies demonstrated that the optimum 5-ASA layered or matrix pellets had superior anti-inflammatory activities than Pentasa® in terms of colitis activity index (CAI), colon damage score (CDS), colon/body weight ratio and colon's tissue enzymes of glutathione (GSH) and malondialdehyde (MDA). The optimum coating formulation showed a high potential for colonic delivery of 5-ASA layered or matrix pellets and triggered drug release based on pH and time.

Smaller Cerebellar Lobule VIIb is Associated with Tremor Severity in Parkinson's Disease.

Alterations in the cerebellum's morphology in Parkinson's disease (PD) point to its pathophysiological involvement in this movement disorder. Such abnormalities have previously been attributed to different PD motor subtypes. The aim of the study was to relate volumes of specific cerebellar lobules to motor symptom severity, in particular tremor (TR), bradykinesia/rigidity (BR), and postural instability and gait disorders (PIGD) in PD. We performed a volumetric analysis based on T1-weighted MRI images of 55 participants with PD (22 females, median age 65 years, Hoehn and Yahr stage 2). Multiple regression models were fitted to investigate associations between volumes of cerebellar lobules with clinical symptom severity based on MDS-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III score and sub-scores for TR, BR, and PIGD; adjusted for age, sex, disease duration, and intercranial volume as cofactors. Smaller volume of lobule VIIb was associated with higher tremor severity (P = 0.004). No structure-function relationships were detected for other lobules or other motor symptoms. This distinct structural association denotes the involvement of the cerebellum in PD tremor. Characterizing morphological features of the cerebellum leads to a better understanding of its role in the spectrum of motor symptoms in PD and contributes further to identifying potential biological markers.

Entanglement transmission due to the Dzyaloshinskii-Moriya interaction.

We revisited the effectiveness of state and entanglement transmission through a spin-chain-based quantum channel while altering the system parameters and the channel's initial state. Our research is focused on the spin-1/2 XX chain with Dzyaloshinskii-Moriya (DM) interaction and the aim is to measure entanglement dynamics between different part of the chain. The speed of entanglement propagation is utilized to probe the evolution of the system via three scenarios: (i) pure Heisenberg interaction, (ii) pure DM interaction, and (iii) collaboration of both types of couplings. To accomplish this, we employ the fermionization approach to obtain an exact solution to the problem. Aside from investigating the influence of magnetic interaction type on entanglement transfer, the effect of selecting the initial state has also been studied. As a result, we discovered that the phase factor regulating the system's initial state induces sharp drops in the propagation speed of entanglement. We also showed how to predict the location of these dramatic drops using the language of wave interference. In addition, the fastest transmission occurs at a special value of the phase factor in which the highest amount of entanglement reaches the system's different pairs. On the other hand, we observe a continuous and flat range of this factor in which the least amount of entanglement is transmitted and for them we have a sharp drop in the speed profile.

A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification.

Removing redundant features and improving classifier performance necessitates the use of meta-heuristic and deep learning (DL) algorithms in feature selection and classification problems. With the maturity of DL tools, many data-driven polarimetric synthetic aperture radar (POLSAR) representation models have been suggested, most of which are based on deep convolutional neural networks (DCNNs). In this paper, we propose a hybrid approach of a new multi-objective binary chimp optimization algorithm (MOBChOA) and DCNN for optimal feature selection. We implemented the proposed method to classify POLSAR images from San Francisco, USA. To do so, we first performed the necessary preprocessing, including speckle reduction, radiometric calibration, and feature extraction. After that, we implemented the proposed MOBChOA for optimal feature selection. Finally, we trained the fully connected DCNN to classify the pixels into specific land-cover labels. We evaluated the performance of the proposed MOBChOA-DCNN in comparison with nine competitive methods. Our experimental results with the POLSAR image datasets show that the proposed architecture had a great performance for different important optimization parameters. The proposed MOBChOA-DCNN provided fewer features (27) and the highest overall accuracy. The overall accuracy values of MOBChOA-DCNN on the training and validation datasets were 96.89% and 96.13%, respectively, which were the best results. The overall accuracy of SVM was 89.30%, which was the worst result. The results of the proposed MOBChOA on two real-world benchmark problems were also better than the results with the other methods. Furthermore, it was shown that the MOBChOA-DCNN performed better than methods from previous studies.

Blood metabolic biomarkers and the risk of head and neck cancer: An epidemiological study in the Swedish AMORIS Cohort.

Multiple studies have investigated the role of carbohydrate and lipid metabolism on the risk of head and neck cancer (HNC), with however conflicting results. We performed a study of 561,388 individuals of the Swedish AMORIS Cohort with blood test results on nine biomarkers for carbohydrate, lipid, and apolipoprotein metabolism during 1985-1996. We examined the associations of these biomarkers with the future risk of HNC through 2020 and demonstrated the temporal changes of these biomarkers during the decades before cancer diagnosis. We found that there was a positive association between blood level of glucose, total cholesterol (TC), triglycerides (TG), and Apoprotein A-I (ApoA-I) and the risk of HNC. Per standard deviation increase, the hazard ratio (HR) was 1.05 (95% confidence interval [CI] 1.02-1.09) for glucose, 1.09 (95% CI 1.05-1.13) for TC, 1.13 (95% CI 1.08-1.17) for TG, and 1.11 (95% CI 1.04-1.19) for ApoA-I. The associations were primarily noted for squamous cell carcinoma but not adenocarcinoma. Compared to controls, patients with HNC, primarily squamous cell carcinoma, showed constantly higher levels of glucose, TC, TG, and ApoA-I during the 30 years before diagnosis. In conclusion, findings of the study add new and high-quality evidence to the early involvement of carbohydrate and lipid metabolism in the oncogenesis of human cancer.

Prediction of time in industrial chemical accidents: A survival analysis.

BACKGROUND: Chemical accidents have imposed casualties and high economic and social consequences to Iranian industries and society. OBJECTIVE: This study investigated the effect of risk factors involved in occurrences of the chemical accidents and predicted the time of occurrences in Iranian chemical factories. METHODS: A cross-sectional study was implemented in 574 chemical facilities with more than 25 employees from 2018 to 2020. Collecting data instruments were 2 checklists with 15 and 25 three-point Likert scale questions, respectively. Chi square and Monte Carlo tests assessed the relationships between independent risk factors and dependent hazardous chemical accidents. Cox semi-parametric and log-normal parametric models were used to predict the upcoming time of chemical accidents based on the impacts of risk factors understudy. Data analyses were performed using Stata and R software. RESULTS: The results showed that safety data sheets, labeling, fire extinguishing system, safe chemicals storage, separation, loading, transportation and training were statistically significant with occurrences of the chemical accidents (P-value < 0.05). Loading and transportation were mostly related to chemical incidents and reduced significantly the expected time of chemical events (P-value = 0.028). CONCLUSION: Establishing a comprehensive chemical accidents dataset and strict governmental supervision on chemical safety regulations are suggested to decrease the chemical accidents at regional and local levels in chemical plants.

Supercritical CO2 versus water as an antisolvent in the crystallization process to enhance dissolution rate of curcumin.

Antisolvent crystallization approach using either water (in conventional crystallization process (WAS)), or supercritical CO2 (in supercritical anti-solvent crystallization (SCAS)), was employed in presence of hydroxypropyl methylcellulose (HPMC) to enhance the dissolution of curcumin. The impact of pressure, temperature and depressurization time on the SCAS process was studied using the Box-Behnken design to achieve the highest saturation solubility. A physical mixture of curcumin-HPMC was prepared for comparison purposes. Saturation solubility, scanning electron microscopy, differential scanning calorimetry, X-ray diffraction analysis and Fourier transform infrared spectroscopy were conducted to characterize the solid-state characteristics of the crystallized samples. Dissolution studies helped in ascertaining the effects of the crystallization techniques on the performance of the formulation. Curcumin crystalized by different antisolvent displayed varied shapes, sizes, saturation solubility's and dissolution properties. In SCAS process, the maximum saturation solubility (2.83 µg/mL) was obtained when the pressure, temperature and depressurization time were 275 bars, 55 °C, and 22 min respectively. The SCAS samples showed the highest dissolution (70%) in 30 min compared to WAS (27%), physical mixture (18%) and unprocessed curcumin (16%). The improved dissolution rate of SCAS sample originates from the development of sponge-like particles with augmented porosity, decreased crystallinity as well as increased solubility of curcumin.