Cancer-Related Health and Educational Needs and Faith-Based Health Beliefs in an Urban Muslim Population.

Cancer screening behaviors in Muslims are under-researched, and there is limited data on how it relates to their unique cultural and religious beliefs. We assessed cancer prevention and screening-related health needs in the Washington DC area. We developed the needs assessment questionnaires and recruitment strategy in collaboration with key faith leaders from four mosques in our catchment area. A total of 203 participants were recruited through community outreach and engagement approaches and were included in the discussion when developing the needs assessment to ensure questions were religiously and culturally sensitive. Of the 203 participants, 56% of women reported receiving screening for a mammogram, while 83% of women reported receiving a screening for cervical cancer. Among men, 45% reported receiving a prostate cancer antigen test to screen for prostate cancer. Among both men and women, 35% reported ever receiving a screening for colorectal cancer. Women reported relying more on their faith when dealing with health concerns than men. Those who did not get screened for breast, colorectal, and cervical cancer relied more on their faith than those who did get screened for these cancers. Participants expressed interest in having health initiatives around cancer education, screening, and survivorship inside mosques. Faith beliefs can influence cancer screening behaviors; however, the relationship between these two variables needs further examination. Continued engagement with key faith leaders can help in leveraging religious beliefs to promote health education and cancer screening.

Association between Prescribers' Perceptions of the Utilization of Medication for Opioid Use Disorder and Opioid Dependence Treatability.

BACKGROUND: Medication for opioid use disorder (MOUD) has been proven to be effective, yet the perceptions or beliefs of prescribers of MOUD may have a substantial impact on their prescribing and dispensing of MOUD and their patients' accessibility and utilization of MOUD services. We examined the associations of the perceptions of medical and pharmacy professionals regarding MOUD with sociodemographic characteristics, personal experiences with substance use disorders, and perceptions of opioid treatment. METHOD: Data were collected via telephone or online survey from March to August 2021, in Texas, to assess medical and pharmacy professionals' perceptions of MOUD. Our sample included 542 participants who completed the survey. A multinomial logistic regression analysis was conducted to assess perceptions of MOUD, its use, and their correlates. RESULTS: The participants had a mean age of 35 years (SD = 7.13) and had worked, on average, 6.90 years (SD = 5.37) in their current positions. The majority of the participants were males (50.93%) and medical professionals (82.01%). More than one third of the participants believed MOUD did not lead to abstinence or recovery (36.16%). Those who had personal experiences with a substance use disorder were more likely to believe that MOUD could be a replacement drug for previously misused substance(s) (RRR = 2.06, 95% CI = 1.19, 3.59) and that MOUD did not lead to abstinence or recovery (RRR = 2.34, 95% CI = 1.40, 3.91). However, the risk ratio values were lower for those who believed that a stigma against MOUD was a barrier for patients initiating and adhering to MOUD (MOUD is a replacement drug for previously misused substances (initiation RRR = 0.43, 95% CI = 0.19, 0.93 and adhering RRR = 0.30, 95% CI = 0.13, 0.71) or MOUD does not lead to abstinence or recovery (initiation RRR = 0.26, 95% CI = 0.13, 0.54 and adhering RRR = 0.36, 95% CI = 0.17, 0.78)). The various perceptions of the utilization of MOUD were not statistically different between medical and pharmacy professionals. CONCLUSION: Perceptions, experience with substance use disorder, and stigma against the utilization of MOUD influenced negative perceptions about MOUD. An innovative strategy is needed to improve medical and pharmacy professionals' perceptions of MOUD, while efforts are being made to promote the use of MOUD for patients with opioid use disorders.

Approach to breech face impression comparison based on the robust estimation of a correspondence function.

Forensic firearm analysis concerns an attempt to determine if ammunition is associated with a specific firearm based on tool-marks produced by it. A feature-based method using the Scale Invariant Feature Transform (SIFT) and RANdom SAmple Consensus (RANSAC) integration algorithm had been suggested to allow the automated comparison of breech face impressions. In this paper, an estimation method is proposed to establish a correspondence function among the features of comparison impression pairs, aiming to further improve the robustness and repeatability of automated feature matching. During the application of the iterative establishment algorithm, the Support Vector Regression (SVR) method is repeated to estimate the correspondence function based on current feature correspondences, and a robust weighting method excludes egregious outliers among putative correspondences by updating additional weightings. Moreover, the consistency detection method is adopted to overcome the over-fitting problem in SVR. Validation tests of the proposed method are conducted on three sets of cartridge case's breech face impressions; namely the Fadul set consisting of 40 cartridge cases ejected from 10 Ruger P95PR15 pistols, the Weller sets containing 95 cartridge cases obtained from 11 Ruger P95DC firearms and the Lightstone set containing 30 cartridge cases from 10 SW40VE S&W Sigma pistol slides. Test results show that most known matching (KM) pairs possess no less than 20 matching feature points while the non-matching (KNM) pairs all maintain 3-8 correspondences. It also indicates that the feature-based method has apparent advantages in dealing with granular impressions with local peaks and valleys features, and poor performance on the striation marks. The clear distinction between KM and KNM impression pairs demonstrates the feasibility of the proposed method in ballistic feature comparison. Compared to the random hypothesize-and-verify modeling of RANSAC, this method can retain more reliable matching feature points of the impression pair to ensure the repeatability of feature correspondence selection.

Fired bullet signature correlation using the finite ridgelet transform (FRIT) and the gray level co-occurrence matrix (GLCM) methods.

When a bullet is fired from a barrel, micro striation marks caused by the sliding motion of the bullet through the rifled barrel are one of the foremost factors in automated ballistic identification. This paper focuses on 3D topography images of land engraved areas (LEA) and proposes a bullet identification method incorporating the finite ridgelet transform (FRIT) and gray level co-occurrence matrix (GLCM) algorithms. The FRIT extracts the striation marks from the 3D micro image and the GLCM generates a linearly weighted weight corresponding to the texture features for 2D average profile calculation. The entire striation marks image is divided into several cells and a cell with valid correlation areas is assigned a large weight, but the one with invalid correlation areas is assigned a small weight along the vertical direction. The visible results show that the valid correlation areas are effectively identified and the negative effects of invalid correlation areas are suppressed. Tests were performed on a control set and an unknown set, giving a total of 35 bullet samples fired from pistols with 10 consecutively manufactured slides. The results included no false identifications or false exclusions and a clear separation between the matching index of the matching and non-matching LEA profiles, demonstrating excellent performance in striation mark capture and valid correlation areas extraction of FRIT and GLCM algorithms. The proposed method is capable of correctly matching toolmarked surfaces to the barrel used.

Convergence-improved congruent matching cells (CMC) method for firing pin impression comparison.

A firing pin impression is usually concave in shape with a small textured area, which makes it difficult to perform automated algorithm-based comparison. The congruent matching cells (CMC) method was invented for accurate breech face impression comparison, in which a reference impression is divided into correlation cells. Each cell is registered to a cell-sized area of the comparison impression that has maximum similarity in surface topography. Four parameters are used to quantify the congruent matching pattern of the registration position and orientation. This paper aims to further develop the cell-division-matching method based on a convergence feature and to develop practical convergence-improved algorithms for firing pin impression comparison. The convergence feature refers to the tendency of the x-y registration positions of correlated cell pairs to converge at the correct registration angle when comparing same-source samples at different orientations. The areal Gaussian filter is employed to extract high-frequency micro-features; the least-squares matching method is used to improve each cross-correlation precision and reach convergence in the registration positions of correlated cell pairs; and a density-based clustering algorithm is introduced to collect the registration positions of dense cell pairs relative to a virtual common center and to remove outliers. Improvements are achieved in the reliability and accuracy of the number of congruent matching cell pairs (CMCs) collected, which represents the quantification of the degree of pairwise impression similarity. Experiments in this report used 40 firing pin impression samples on cartridge cases fired from 10 pistols. The results included no false identifications or false exclusions.

Effects of extracorporeal shock wave therapy in patients with knee osteoarthritis: A cohort study protocol.

BACKGROUND: Osteoarthritis is the most common form of arthritis, and is a major cause of disability and chronic pain in adults. However, there is very limited evidence in the scientific literature to support the effectiveness of extracorporeal shockwave therapy (ESWT) in human knee osteoarthritis. This retrospective study aimed to compare the efficacy of ESWT treatment with sham-ESWT on pain, walking speed, physical function, and adverse effects in knee osteoarthritis. METHODS: This study will be performed and reported in accordance with the Strengthening the Reporting of Observational studies in Epidemiology checklist. We reviewed patients diagnosed with knee osteoarthritis at our academic center from 2016 to 2017. This retrospective cohort study was approved by the institutional review board in Ruijin Hospital. The primary outcome measure was pain on movement measured by a 100-cm visual analog scale. The secondary outcome measures included the Western Ontario and McMaster University Osteoarthritis Index, range of motion, and adverse effects. Statistical analysis was performed using Statistical Package for Social Sciences version 20.0 (IBM Corporation, Armonk, NY). A P-value of <.05 was defined as statistical significance. RESULTS: The hypothesis was that ESWT would be an effective treatment for improving pain and physical function in knee osteoarthritis to control symptoms. TRIAL REGISTRATION: This study protocol was registered in Research Registry (researchregistry5801).

Serum metabolites reflecting gut microbiome alpha diversity predict type 2 diabetes.

Type 2 diabetes (T2D) is associated with reduced gut microbiome diversity, although the cause is unclear. Metabolites generated by gut microbes also appear to be causative factors in T2D. We therefore searched for serum metabolites predictive of gut microbiome diversity in 1018 females from TwinsUK with concurrent metabolomic profiling and microbiome composition. We generated a Microbial Metabolites Diversity (MMD) score of six circulating metabolites that explained over 18% of the variance in microbiome alpha diversity. Moreover, the MMD score was associated with a significantly lower odds of prevalent (OR[95%CI] = 0.22[0.07;0.70], P = .01) and incident T2D (HR[95%CI] = 0.31[0.11,0.90], P = .03). We replicated our results in 1522 individuals from the ARIC study (prevalent T2D: OR[95%CI] = 0.79[0.64,0.96], P = .02, incident T2D: HR[95%CI] = 0.87[0.79,0.95], P = .003). The MMD score mediated 28%[15%,94%] of the total effect of gut microbiome on T2D after adjusting for confounders. Metabolites predicting higher microbiome diversity included 3-phenylpropionate(hydrocinnamate), indolepropionate, cinnamoylglycine and 5-alpha-pregnan-3beta,20 alpha-diol monosulfate(2) of which indolepropionate and phenylpropionate have already been linked to lower incidence of T2D. Metabolites correlating with lower microbial diversity included glutarate and imidazole propionate, of which the latter has been implicated in insulin resistance. Our results suggest that the effect of gut microbiome diversity on T2D is largely mediated by microbial metabolites, which might be modifiable by diet.