Tag: nevin manimala

PLoS One. 2022 Apr 20;17(4):e0264092. doi: 10.1371/journal.pone.0264092. eCollection 2022.

ABSTRACT

By 13,000 BP human populations were present across North America, but the exact date of arrival to the continent, especially areas south of the continental ice sheets, remains unclear. Here we examine patterns in the stratigraphic integrity of early North American sites to gain insight into the timing of first colonization. We begin by modeling stratigraphic mixing of multicomponent archaeological sites to identify signatures of stratigraphic integrity in vertical artifact distributions. From those simulations, we develop a statistic we call the Apparent Stratigraphic Integrity Index (ASI), which we apply to pre- and post-13,000 BP archaeological sites north and south of the continental ice sheets. We find that multiple early Beringian sites dating between 13,000 and 14,200 BP show excellent stratigraphic integrity. Clear signs of discrete and minimally disturbed archaeological components do not appear south of the ice sheets until the Clovis period. These results provide support for a relatively late date of human arrival to the Americas.

PMID:35442993 | DOI:10.1371/journal.pone.0264092

PLoS One. 2022 Apr 20;17(4):e0267159. doi: 10.1371/journal.pone.0267159. eCollection 2022.

ABSTRACT

INTRODUCTION: Human Immunodeficiency Virus (HIV) is continued to be a major public health problem in low-income countries and more importantly in Africa. For the last decade, access to Antiretroviral Therapy (ART) and its impact in improving quality of life and reducing HIV-related morbidity and mortality has significantly been improved in Africa. Nevertheless, the emergency of HIV drug resistance (HIVDR) has posed challenges in achieving optimal ART treatment outcomes and is alarmingly increasing globally in general and in Africa in particular. Comprehensive epidemiological data on the magnitude of HIVDR and HIVDR mutations, and predictors of HIVDR are, however, limited in Africa.

OBJECTIVE: The main objective of this systematic review will be to estimate the pooled proportion of HIVDR and HIVDR mutations, and identify factors associated with HIVDR among people living with HIV/AIDS (PLWH) in Africa.

METHOD: Published Literature from 2000 until 30 October 2021 will be searched in PubMed/Medline Ovid, HINARI, SCOPUS, EMBASE, CINAHL, Web of Sciences, and Cochrane electronic databases. Initially, the literature will be screened based on title/abstract and followed by full-text appraisal for methodological quality using JBI critical appraisal tools. Data will be extracted from eligible articles after the full-text appraisal. Heterogeneity will be qualitatively assessed by a visual Funnel plot and quantitatively measured by an index of heterogeneity (I2 statistics). Random-effects model will be fitted to estimate the proportion of HIVDR and each HIVDR mutations. Sub-group and sensitivity analyses will be conducted to reduce heterogeneity. Meta-regression will be done by median year of sampling per study to observe the pattern of changes over time. Publication bias will be assessed by egger’s statistics. In case of publication bias, Trim and Fill analysis will be conducted to overcome small-study effect. Data analysis will be performed using Stata version 14.

ETHICS AND DISSEMINATION: As the data sources are published papers, the protocol will not require an ethical approval letter. The final report of the review will be published in a peer-reviewed journal.

PMID:35442975 | DOI:10.1371/journal.pone.0267159

PLoS One. 2022 Apr 20;17(4):e0265509. doi: 10.1371/journal.pone.0265509. eCollection 2022.

ABSTRACT

BACKGROUND: Opioid-related mortality continues to rise across North America, and mortality rates have been further exacerbated by the COVID-19 pandemic. This study sought to provide an updated picture of trends of opioid-related mortality for Ontario, Canada between January 2003 and December 2020, in relation to age and sex.

METHODS: Using mortality data from the Office of the Chief Coroner for Ontario, we applied Bayesian Poisson regression to model age/sex mortality per 100,000 person-years, including random walks to flexibly capture age and time effects. Models were also used to explore how trends might continue into 2022, considering both pre- and post-COVID-19 courses.

RESULTS: From 2003 to 2020, there were 11,633 opioid-related deaths in Ontario. A shift in the age distribution of mortality was observed, with the greatest mortality rates now among younger individuals. In 2003, mortality rates reached maximums at 5.5 deaths per 100,000 person-years (95% credible interval: 4.0-7.6) for males around age 44 and 2.2 deaths per 100,000 person-years (95% CI: 1.5-3.2) for females around age 51. As of 2020, rates have reached maximums at 67.2 deaths per 100,000 person-years (95% CI: 55.3-81.5) for males around age 35 and 16.8 deaths per 100,000 person-years (95% CI: 12.8-22.0) for females around age 37. Our models estimate that opioid-related mortality among the younger population will continue to grow, and that current conditions could lead to male mortality rates that are more than quadruple those of pre-pandemic estimations.

CONCLUSIONS: This analysis may inform a refocusing of public health strategy for reducing rising rates of opioid-related mortality, including effectively reaching both older and younger males, as well as young females, with health and social supports such as treatment and harm reduction measures.

PMID:35442953 | DOI:10.1371/journal.pone.0265509

PLoS One. 2022 Apr 20;17(4):e0265594. doi: 10.1371/journal.pone.0265594. eCollection 2022.

ABSTRACT

BACKGROUND: Preterm birth remains the commonest cause of neonatal mortality, and morbidity representing one of the principal targets of neonatal health care. Ethiopia is one of the countries which shoulder the highest burden of preterm birth. Therefore, this study was aimed to assess factors associated with preterm birth at public hospitals in Sidama regional state.

METHODS: Facility-based case-control study was conducted at public hospitals in Sidama regional state, from 1st June to 1st September/2020. In this study, a total of 135 cases and 270 controls have participated. To recruit cases and controls consecutive sampling methods and simple random sampling techniques were used respectively. Data were collected using pretested structured interviewer-administered questionnaire, and checklist via chart review. Data were entered using EpiData version 3.1 and exported to SPSS version 20 for analysis. Independent variables with P-value < 0.25 in the bivariate logistic regression were candidates for multivariable logistic regression analysis. Finally, statistical significance was declared at P-value < 0.05.

RESULTS: The response rate was 100%. Rural resident (AOR = 2.034; 95%CI: 1.242, 3.331), no antenatal care service utilization (AOR = 2.516; 95%CI: 1.406, 4.503), pregnancy-induced hypertension (AOR = 2.870; 95%CI: 1.519, 5.424), chronic medical problem during pregnancy (AOR = 2.507; 95%CI: 1.345, 4.676), urinary tract infections (AOR = 3.023; 95%CI: 1.657, 5.513), birth space less than 2 years (AOR = 3.029; 95%CI: 1.484, 6.179), and physical intimate violence (AOR = 2.876; 95%CI: 1.534, 5.393) were significantly associated with preterm birth.

CONCLUSION: Most of the risk factors of preterm birth were found to be modifiable. Community mobilization on physical violence during pregnancy and antenatal care follow-up are the ground for the prevention of preterm birth because attentive and critical antenatal care screening practice could early identify risk factors. Besides, information communication education about preterm birth prevention was recommended.

PMID:35442955 | DOI:10.1371/journal.pone.0265594

Pain. 2022 Apr 19. doi: 10.1097/j.pain.0000000000002653. Online ahead of print.

ABSTRACT

Chronic postsurgical pain (CPSP) is defined by pain intensity and pain-related functional interference. This study included measures of function in a composite score of patient-reported outcomes (PROs) to investigate the incidence of CPSP. Registry data were analyzed for PROs one day and 12 months postoperatively. Based on pain intensity and pain-related interference with function, patients were allocated to the groups “CPSPF” (at least moderate pain with interference), “Mixed” (milder symptoms) and “No CPSPF”. The incidence of CPSPF was compared to CPSP rates referring to published data. Variables associated with the PRO-12 score (composite PROs at 12 months; NRS 0-10) were analyzed by linear regression analysis. Of 2319 patients, 8.6%, 32.5% and 58.9% were allocated to the groups CPSPF, Mixed and No CPSPF. Exclusion of patients whose pain scores did not increase compared to the preoperative status, resulted in a 3.3% incidence. Of the patients without pre-existing pain, 4.1% had CPSPF. Previously published pain cut-offs of NRS >0, ≥3 or ≥4, used to define CPSP, produced rates of 37.5%, 9.7% and 5.7%. Pre-existing chronic pain, pre-operative opioid medication and type of surgery were associated with the PRO-12 score (all p<0.05). Opioid doses and PROs 24 hours postoperatively improved the fit of the regression model. A more comprehensive assessment of pain and interference resulted in lower CPSP rates than previously reported. Although inclusion of CPSP in the ICD-11 is a welcome step, evaluation of pain characteristics would be helpful in differentiation between CPSPF and continuation of pre-existing chronic pain.

PMID:35442934 | DOI:10.1097/j.pain.0000000000002653

IEEE Trans Cybern. 2022 Apr 20;PP. doi: 10.1109/TCYB.2022.3158702. Online ahead of print.

ABSTRACT

In this article, a novel version of the general regression neural network (Imp_GRNN) is developed to control a class of multiinput and multioutput (MIMO) nonlinear discrete-time (DT) systems. The improvements retain the features of the original GRNN along with a significant improvement of the control accuracy. The enhancements include developing a method to set the input-hidden weights of GRNN using the inputs recursive statistical means, introducing a new output layer and adaptable forward weighted connections from the inputs to the new layer, and suggesting an interval-type smoothing parameter to eradicate the need for selecting the parameter beforehand or adapting it online. Also, controller stability is studied using Lyapunov’s method for DT systems. The controller performance is tested with different simulation examples and compared with the original GRNN to verify its superiority over it. Also, Imp_GRNN performance is compared with an adaptive radial basis function network controller, an adaptive feedforward neural-network (NN) controller, and a proportional-integral-derivative (PID) controller, where it demonstrated higher accuracy in comparison with them. In comparison with the formerly proposed control methods for MIMO DT systems, our controller is capable of producing high control accuracy while it is model free, does not require complex mathematics, has low computational complexity, and can be utilized for a wide range of DT dynamic systems. Also, it is one of the few methods that aims to improve the control system accuracy by improving the NN structure.

PMID:35442895 | DOI:10.1109/TCYB.2022.3158702

Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2022 Apr 20:1-7. doi: 10.1080/19440049.2022.2066194. Online ahead of print.

ABSTRACT

Forty-two samples of feed, saliva, urines, and faeces collected from a cattle farm were investigated with the aim to evaluate the occurrence of glyphosate in faeces, urine and saliva. Glyphosate in the feed was also quantified to understand how it was assimilated by mammals. All cows excreted glyphosate in their faeces at concentrations between 57 and 983 ng g^-1. In contrast, only 55% of urine and one sample of saliva tested positive. Most of the feeds demonstrated a non-negligible presence of glyphosate. In particular, a silage containing soybeans from genetically modified cultivation showed a concentration one order of magnitude higher than the other feeds. This study aims to provide the first complete determination of glyphosate in a cattle farm, considering the possible re-entry into the environment through the spreading of liquid and solid sewage and its possible impact on groundwater.

PMID:35442859 | DOI:10.1080/19440049.2022.2066194

IEEE Trans Med Imaging. 2022 Apr 20;PP. doi: 10.1109/TMI.2022.3168888. Online ahead of print.

ABSTRACT

The analysis of connectivity between parcellated regions of cortex provides insights into the functional architecture of the brain at a systems level. However, the derivation of functional structures from voxel-wise analyses at finer scales remains a challenge. We propose a novel method, called localized topo-connectivity mapping with singular-value-decomposition-informed filtering (or filtered LTM), to identify and characterize voxel-wise functional structures in the human brain from resting-state fMRI data. Here we describe its mathematical formulation and provide a proof-of-concept using simulated data that allow an intuitive interpretation of the results of filtered LTM. The algorithm has also been applied to 7T fMRI data acquired as part of the Human Connectome Project to generate group-average LTM images. Generally, most of the functional structures revealed by LTM images agree in the boundaries with anatomical structures identified by T1-weighted images and fractional anisotropy maps derived from diffusion MRI. In addition, the LTM images also reveal subtle functional variations that are not apparent in the anatomical structures. To assess the performance of LTM images, the subcortical region and occipital white matter were separately parcellated. Statistical tests were performed to demonstrate that the synchronies of fMRI signals in LTM-derived functional parcels are significantly larger than those with geometric perturbations. Overall, the filtered LTM approach can serve as a tool to investigate the functional organization of the brain at the scale of individual voxels as measured in fMRI.

PMID:35442885 | DOI:10.1109/TMI.2022.3168888

Cancer Control. 2022 Jan-Dec;29:10732748221082791. doi: 10.1177/10732748221082791.

ABSTRACT

BACKGROUND: Decisional conflict (DC) is a psychological construct that an individual experiences in making a decision that involves risk, loss, regret, or challenges to one’s values. This study assessed DC in a cohort of South African men undergoing curative treatment for localised prostate cancer (LPC). The objectives were to (1) to examine the association between DC and prostate cancer knowledge (PCK), demographics, state anxiety, prostate cancer anxiety and time to treatment and (2) to compare levels of DC between treatment groups [prostatectomy (RP) and external beam radiation (RT)].

METHOD: Data, comprising the Decisional Conflict Scale (DCS), Prostate Cancer Knowledge (PCK), State-Trait Anxiety Inventory (STAI-S), the Memorial Anxiety Scale for Prostate Cancer (MAX-PC) and demographic data from 83 participants of a larger prospective longitudinal observational study examining depression, anxiety and health related quality of life (DAHCaP) were analysed.

RESULTS: The mean age of participants was 63 years (RP 61yrs and RT 65yrs; p< 0.001). Most were of mixed ancestry (72.3%). The total DCS scores between the treatment groups (RP 25.00 and RT 18.75; p = 0.037) and two DCS sub-scores-uncertainty (p = 0.033), and support (p = 0.048), were significantly higher in the RP group. A statistically significant negative correlation was observed between state anxiety and time between diagnosis and treatment in the RP group (Spearman’s rho = -0.368; p = 0.030). There was no correlation between the DCS score and PCK within each treatment group (Spearman’s rho RP = -0.249 and RT = -0.001).

CONCLUSION: Decisional conflict was higher in men undergoing RP. Men were more anxious in the RP group regarding the time treatment was received from diagnosis. No correlation was observed between DC and PCK. Pre-surgical management of DC should include shared decision making (SDM) which is cognisant of patients’ values facilitated by a customised decision aid.

PMID:35442835 | DOI:10.1177/10732748221082791

Metab Syndr Relat Disord. 2022 Apr 18. doi: 10.1089/met.2021.0136. Online ahead of print.

ABSTRACT

Background: The rs7903146 variant in the TCF7L2 gene is associated with defects in postprandial insulin and glucagon secretion and increased risk of type 2 diabetes. However, it is unclear if this variant has effects on glucose metabolism that are independent of islet function. Methods: We studied 54 nondiabetic subjects on two occasions where endogenous hormone secretion was inhibited by somatostatin. Twenty-nine subjects were homozygous for the diabetes-associated allele (TT) and 25 for the diabetes-protective allele (CC) at rs7903146, but otherwise matched for anthropometric characteristics. On 1 day, glucagon infused at a rate of 0.65 ng/kg/min, and at 0 min prevented a fall in glucagon (nonsuppressed day). On the contrary, infusion commenced at 120 min to create a transient fall in glucagon (suppressed day). Subjects received glucose (labeled with [3-³H]-glucose) infused to mimic the systemic appearance of oral glucose. Insulin was infused to mimic a prandial insulin response. Endogenous glucose production (EGP) was measured using the tracer dilution technique. Results: Lack of glucagon suppression increased postchallenge glucose concentrations and impaired EGP suppression. However, in the presence of matched insulin and glucagon concentrations, genetic variation in TCF7L2 did not alter glucose metabolism. Conclusion: These data suggest that genetic variation in TCF7L2 alters glucose metabolism through changes in islet hormone secretion.

PMID:35442800 | DOI:10.1089/met.2021.0136