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Nevin Manimala Statistics

Temporal stability of associations between crash characteristics: A multiple correspondence analysis

Accid Anal Prev. 2022 Feb 9;168:106590. doi: 10.1016/j.aap.2022.106590. Online ahead of print.

ABSTRACT

Understanding the associations between crash characteristics facilitates the development of traffic safety policies for improving traffic safety. This study investigates the temporal stability of associations between crash characteristics at different temporal levels using multiple correspondence analysis (MCA). For each date in 2020, crash data from the previous week, month, season, half year, one year, two years, three years, and four years are collected respectively as eight temporal levels. MCA plots and chi-square distance analysis are used to assess the temporal stability of associations between crash characteristics across dates in 2020 with data from various temporal levels. The key findings of this study demonstrate that associations between crash characteristics at lower temporal levels show notable and potential cyclical variations across dates, while more stable and long-term trend of associations between crash characteristics may be identified as the temporal level increases, especially at the two-year level and higher temporal levels at which temporal stability may be expected. The study contributes to the literature by presenting a challenge for traffic analysts in that both temporally stable and unstable associations between crash characteristics may be observed at any point in time when different temporal levels are considered as study periods. Therefore, it may serve as a foundation for future research and practical works to identify traffic safety issues and optimal policies as well as facilitate the interpretation of statistical modeling in the presence of temporally unstable data.

PMID:35151096 | DOI:10.1016/j.aap.2022.106590

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Nevin Manimala Statistics

Exposure based geographic analysis mode for estimating the expected pedestrian crash frequency in urban traffic zones; case study of Tehran

Accid Anal Prev. 2022 Feb 9;168:106576. doi: 10.1016/j.aap.2022.106576. Online ahead of print.

ABSTRACT

Predicting pedestrian crashes on urban roads is one of the most important issues related to urban traffic safety. Due to the lack of spatial correlation and instability in the crash data, the statistical reliability of Empirical Bayesian method in the combination of the observed and predicted crash frequency is questionable. In this study, an EB model has been developed to estimate the expected frequency of pedestrian crashes in urban areas using the over-dispersion parameter taking into account the spatial correlation of crash data. The objective of this study is to estimate the expected geographical frequency of pedestrian crashes using the Empirical Bayesian (EB) approach using weighted geographical regression models for pedestrian crashes in Tehran. For doing so, four models of geographic weighted Poisson regression (GWPR), geographic weighted zero-inflated Poisson regression (GWZIPR), geographic weighted Negative Binomial regression (GWNBR) and the geographic weighted zero-inflated Negative Binomial regression (GWZINBR) have been used. In this study, the areas analyzed for the development of the EB model based on pedestrian exposure variables include traffic analysis zones (TAZs). Finally, the EB model was extended to the Geographic Empirical Bayesian (Ge-EB) model. The results showed that GWZIPR and GWZINBR models make more accurate predictions. These models had the lowest values of Akaike Information Criterion (AIC), the lowest values of Cross Validation and the lowest values of Root Mean Square Error (RMSE). The Moran and Variance Inflated Factor (VIF) indices were also within acceptable limits. The weighted negative binomial distribution could moderate the amount of heterogeneity of crash data to some extent. This study has shown the dispersion and density of pedestrian crashes without having the volume of pedestrians and thus can be done by taking safety measures in places prone to pedestrian crashes.

PMID:35151094 | DOI:10.1016/j.aap.2022.106576

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Nevin Manimala Statistics

Effect of hydro-geochemical processes and saltwater intrusion on groundwater quality and irrigational suitability assessed by geo-statistical techniques in coastal region of eastern Andhra Pradesh, India

Mar Pollut Bull. 2022 Feb 9;175:113390. doi: 10.1016/j.marpolbul.2022.113390. Online ahead of print.

ABSTRACT

Sustainable management of groundwater needs comprehensive study on water quality in present scenario. Hence, an understanding on the hydro geochemistry, saltwater intrusion, spatiotemporal-seasonal variations and irrigational suitability of groundwater becomes a must, especially in coastal regions. Our study area is one such place where all the parameters play a major role against sustainable management. The study pointed out that majority of the samples is brackish with two notable geochemical facies for pre monsoon and post monsoon. Factor and cluster analyses revealed that EC, TDS, Na+, Cl, Mg2+ and Ca2+ are the major contributors. Gibb’s diagram supported the dominance of rock weathering and evaporation in controlling the groundwater chemistry. Sea water intrusion was mapped using HFE diagrams and the Irrigational suitability is studied using USSL, SAR, %Na, etc. The data and results from this study might provide crucial information to water management authorities in dealing groundwater scarcity and pollution problems.

PMID:35151074 | DOI:10.1016/j.marpolbul.2022.113390

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Nevin Manimala Statistics

Human motoneuron firing behavior and single motor unit F-wave

J Electromyogr Kinesiol. 2022 Feb 7;63:102641. doi: 10.1016/j.jelekin.2022.102641. Online ahead of print.

ABSTRACT

In motor control studies, the F-wave (a recurrent discharge evoked by an axonal antidromic volley) widely used for obtaining information on motoneuron pool behavior. However, such F-wave using is a matter of discussion and still has been not validated experimentally. The aim of the present study was investigation of F-wave properties of single firing motor units (MUs) in healthy humans, the properties, which could give evidence for F-wave origin in motoneuron soma and, therefore, could be used for estimation of a relation between MU firing and motoneuron firing behavior. In total, 91 MUs in five muscles of six healthy subjects, during gentle voluntary contractions, were studied. Peri-stimulus time histograms of single MUs were plotted. None of them revealed statistically significant increasing in MU firing probability at the F-wave latency. Analysis of relationships between characteristics of motoneuron firing behavior (mean firing frequency and target interspike interval duration) and properties of F-waves showed their independence. At the same time, it was found that F-waves were recorded in MUs, whose axons possessed the marked supernormal period in excitability recovery cycle after a discharge. Thus, the present results are in contrast to that which should be expected if the F-wave originated in the motoneuronal soma and could provide evidence for motoneuron firing behavior.

PMID:35151066 | DOI:10.1016/j.jelekin.2022.102641

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Nevin Manimala Statistics

Demographic and socioeconomic disparities of pituitary adenomas and carcinomas in the United States

J Clin Neurosci. 2022 Feb 9;98:96-103. doi: 10.1016/j.jocn.2022.01.032. Online ahead of print.

ABSTRACT

INTRODUCTION: Growth of some pituitary tumors is driven by hormones which vary in concentration along the lines of patient socioeconomic status. Thus, pituitary tumors may exhibit disparities in incidence upon stratification by socioeconomic variables. Exploring for these disparities could provide direction in tumor etiology elucidation and identification of healthcare inequalities.

METHODS: To investigate pituitary adenoma and carcinoma incidence (per 100,000) with respect to sex, age, income, residence, and race/ethnicity, we searched the largest American administrative dataset (1997-2016), the National (Nationwide) Inpatient Sample (NIS), which surveys 20% of United States (US) discharges.

RESULTS: Annual national incidence was 2.80 for adenomas and 0.046 for carcinomas. For adenomas, males had an incidence of 2.63, similar (p = 0.17) to females at 2.78; likewise, for carcinomas, males had a statistically equivalent (p = 0.24) incidence at 0.051 to females at 0.041. Amongst age groups, for adenomas incidence progressively rose, peaking 65-84 years old (6.12), before declining. For adenomas and carcinomas respectively, patients with low income had an incidence of 2.66 and 0.044, similar (p = 0.11; p = 0.72) to the 3.01 and 0.041 of middle/high income patients. Incidence was greatest for adenomas amongst urban centers (3.47), followed by rural (3.16) and suburban (3.01) communities. Examining race/ethnicity (p = 0.0000016), for adenomas, incidences amongst Blacks, Asian/Pacific Islanders, Hispanics, and Whites were as follows, respectively: 3.64, 2.57, 2.54, 2.44. Annually, incidence for adenomas was increasing (τ = 0.63, p = 0.00021), but decreasing (τ = -0.60, p = 0.00085) for carcinomas. Specifically, for carcinomas incidence was only decreasing for females and the middle/high income.

CONCLUSION: In the US, time-enduring healthcare disparities were identified for pituitary adenomas and carcinomas, against the background of sociodemographic strata. For carcinomas, annual incidence was declining only for middle/high income patients and females, which supporting prior investigations that low income patients and males are experiencing barriers to definitive treatment for pituitary adenomas. Incidence was also found to be greatest Blacks and urban residents.

PMID:35151063 | DOI:10.1016/j.jocn.2022.01.032

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Nevin Manimala Statistics

Source EEG reveals that Rolandic epilepsy is a regional epileptic encephalopathy

Neuroimage Clin. 2022 Feb 7;33:102956. doi: 10.1016/j.nicl.2022.102956. Online ahead of print.

ABSTRACT

Rolandic epilepsy is the most common form of epileptic encephalopathy, characterized by sleep-potentiated inferior Rolandic epileptiform spikes, seizures, and cognitive deficits in school-age children that spontaneously resolve by adolescence. We recently identified a paucity of sleep spindles, physiological thalamocortical rhythms associated with sleep-dependent learning, in the Rolandic cortex during the active phase of this disease. Because spindles are generated in the thalamus and amplified through regional thalamocortical circuits, we hypothesized that: 1) deficits in spindle rate would involve but extend beyond the inferior Rolandic cortex in active epilepsy and 2) regional spindle deficits would better predict cognitive function than inferior Rolandic spindle deficits alone. To test these hypotheses, we obtained high-resolution MRI, high-density EEG recordings, and focused neuropsychological assessments in children with Rolandic epilepsy during active (n = 8, age 9-14.7 years, 3F) and resolved (seizure free for > 1 year, n = 10, age 10.3-16.7 years, 1F) stages of disease and age-matched controls (n = 8, age 8.9-14.5 years, 5F). Using a validated spindle detector applied to estimates of electrical source activity in 31 cortical regions, including the inferior Rolandic cortex, during stages 2 and 3 of non-rapid eye movement sleep, we compared spindle rates in each cortical region across groups. Among detected spindles, we compared spindle features (power, duration, coherence, bilateral synchrony) between groups. We then used regression models to examine the relationship between spindle rate and cognitive function (fine motor dexterity, phonological processing, attention, and intelligence, and a global measure of all functions). We found that spindle rate was reduced in the inferior Rolandic cortices in active but not resolved disease (active P = 0.007; resolved P = 0.2) compared to controls. Spindles in this region were less synchronous between hemispheres in the active group (P = 0.005; resolved P = 0.1) compared to controls; but there were no differences in spindle power, duration, or coherence between groups. Compared to controls, spindle rate in the active group was also reduced in the prefrontal, insular, superior temporal, and posterior parietal regions (i.e., “regional spindle rate”, P < 0.039 for all). Independent of group, regional spindle rate positively correlated with fine motor dexterity (P < 1e-3), attention (P = 0.02), intelligence (P = 0.04), and global cognitive performance (P < 1e-4). Compared to the inferior Rolandic spindle rate alone, models including regional spindle rate trended to improve prediction of global cognitive performance (P = 0.052), and markedly improved prediction of fine motor dexterity (P = 0.006). These results identify a spindle disruption in Rolandic epilepsy that extends beyond the epileptic cortex and a potential mechanistic explanation for the broad cognitive deficits that can be observed in this epileptic encephalopathy.

PMID:35151039 | DOI:10.1016/j.nicl.2022.102956

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Nevin Manimala Statistics

Unsweetened and sucrose-sweetened black and green tea modifies the architecture of in vitro oral biofilms

Arch Oral Biol. 2022 Feb 3;135:105368. doi: 10.1016/j.archoralbio.2022.105368. Online ahead of print.

ABSTRACT

OBJECTIVE: It is unclear whether tea infusions with or without sucrose supplementation alter oral biofilm development, so we evaluated the effect of unsweetened and sucrose-sweetened black and green tea infusions on in vitro saliva-derived biofilms.

DESIGN: Biofilms were developed from human saliva for 20 h in cell-free 25% human saliva within static glass-bottom microplates. During biofilm development, biofilms were treated with either (i) unsweetened black tea, (ii) unsweetened green tea, (iii) 10% sucrose-sweetened black tea, (iv) 10% sucrose-sweetened green tea (v) deionized water (negative control), or (vi) 10% sucrose (positive control). Biofilms were incubated at 37 °C in 5% CO2. After 20 h of development, biofilms were imaged using a CLSM, and biofilm architecture and viability were evaluated.

RESULTS: All the tea infusions reduced biofilm biomass and altered some other biofilm architectural outcomes (e.g., biofilm surface area) compared to the control groups. Statistically significant differences in biofilm biomass, number of objects, surface area, and convex-hull porosity were observed between biofilms treated with green and black tea. The addition of sugar to tea did not significantly modify the ability of tea to alter biofilm architecture. Only the treatment of biofilms with unsweetened black tea significantly reduced bacterial viability.

CONCLUSIONS: While both teas reduced biofilm biomass and altered biofilm architecture, black tea had an enhanced effect that may relate to this tea’s observed antimicrobial activity. The addition of sucrose to tea infusions did not appear to reduce the impact of either tea in modifying oral biofilm architecture.

PMID:35151028 | DOI:10.1016/j.archoralbio.2022.105368

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Nevin Manimala Statistics

Improving data augmentation for low resource speech-to-text translation with diverse paraphrasing

Neural Netw. 2022 Feb 1;148:194-205. doi: 10.1016/j.neunet.2022.01.016. Online ahead of print.

ABSTRACT

High quality end-to-end speech translation model relies on a large scale of speech-to-text training data, which is usually scarce or even unavailable for some low-resource language pairs. To overcome this, we propose a target-side data augmentation method for low-resource language speech translation. In particular, we first generate large-scale target-side paraphrases based on a paraphrase generation model which incorporates several statistical machine translation (SMT) features and the commonly used recurrent neural network (RNN) feature. Then, a filtering model which consists of semantic similarity and speech-word pair co-occurrence was proposed to select the highest scoring source speech-target paraphrase pairs from candidates. Experimental results on English, Arabic, German, Latvian, Estonian, Slovenian and Swedish paraphrase generation show that the proposed method achieves significant and consistent improvements over several strong baseline models on PPDB datasets (http://paraphrase.org/). To introduce the results of paraphrase generation into the low-resource speech translation, we propose two strategies: audio-text pairs recombination and multiple references training. Experimental results show that the speech translation models trained on new audio-text datasets which combines the paraphrase generation results lead to substantial improvements over baselines, especially on low-resource languages.

PMID:35151006 | DOI:10.1016/j.neunet.2022.01.016

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Nevin Manimala Statistics

Referral writing: Consensus building on a tool for writing structured referrals

J Pak Med Assoc. 2021 Dec;71(12):2794-2798. doi: 10.47391/JPMA.01-1351.

ABSTRACT

Competency in referral writing skill is needed by doctors for which they are not adequately trained. Although there has been a lot of discussion on improvement of skills for writing consultation letters, still priority is not given to this important task. Ideally there should be a course with assessment for teaching and learning medical referral writing skills for students. Currently, there is no such tool to assess the way communication letters are written. An 18-point assessment scale has been developed through Delphi technique to improve the quality of referral letters. The objective of the present study was to design a structured Proforma for writing referrals, with the consensus of seven participants using Delphi. The place of study was Rawalpindi medical university and allied hospitals. Results were finalised after the acceptance of structured referral by selected participants through Delphi. The response rate was 70%. The validity and interrater reliability were calculated using SPSS25. The Cronbach’s alpha was 0.7 and Kappa was 0.3. Both were statistically significant. The designed Proforma for writing referrals, with its interrater reliability calculated, seems effective for writing effective and structured referrals. The study further recommends training junior doctors in making effective referrals.

PMID:35150540 | DOI:10.47391/JPMA.01-1351

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Nevin Manimala Statistics

Breast conservation surgery (BCS) for breast cancer in a resource limited country – Are we upto the challenge!

J Pak Med Assoc. 2021 Dec;71(12):2748-2754. doi: 10.47391/JPMA.1784.

ABSTRACT

OBJECTIVE: To analyse outcomes of breast conservation surgery and to identify the factors that could have affected the outcomes.

METHODS: The retrospective study was conducted at the Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan, and comprised data of breast conservation surgery cases done between January 2011 and October 2014 in order to cover up for the 5-year follow-up of the last enrolled patient. Data, obtained through the institutional information and database system, included disease-recurrence, 5-year disease-free survival and overall survival. Data was statistically analysed using SPSS 20.

RESULTS: Of the 553 cases, 417(75%) had no loco-regional recurrence or distant metastasis, while 136(25%) had some form of loco-regional, distant or contralateral metastasis at 5-year follow-up. In patients who had recurrence or metastasis, only progesterone receptor status, nodal status and mode of treatment showed significant association (p<0.05). Mortality at 5-year follow-up was 77(14%). Amongst the patients who died, only progesterone receptor status and nodal status had significant association (p<0.05). Five-year overall survival for the cohort was 476(86%), whereas 5-year disease-free survival was 409(74%).

CONCLUSION: Breast conservation surgery was found to have favourable outcomes, while progesterone status, nodal involvement and mode of treatment significantly affected the outcome.

PMID:35150532 | DOI:10.47391/JPMA.1784