Categories
Nevin Manimala Statistics

Adsorptive stripping voltammetric determination of chloramphenicol residues in milk samples using reduced graphene oxide sensor

Anal Methods. 2021 Nov 23. doi: 10.1039/d1ay01756j. Online ahead of print.

ABSTRACT

In this paper, the electrochemical response of chloramphenicol (CHL) was investigated on a bare glassy carbon electrode (GCE) and after modification with reduced graphene oxide (GCE/rGO). Preliminary studies by cyclic voltammetry demonstrated an adsorption-controlled mass transport regime of CHL species and a pH-dependent behavior on both electrode surfaces. An adsorptive stripping differential pulse voltammetry (AdSDPV) method was proposed and under optimized instrumental conditions, a comparison of the analytical characteristics of both sensors was performed. The GCE/rGO sensor showed an increase in sensitivity (10-fold), and an anticipation of the reduction potential (200 mV), compared to the bare electrode, due to the adsorptive character (pre-concentration of the CHL species) and the electrocatalytic effect of the nanomaterial. The method was applied to skimmed and whole milk samples, which were simply diluted (50-fold) in supporting electrolyte. The results by AdSDPV using GCE/rGO showed adequate detectability (0.22 μmol L-1), good precision with a 6% relative standard deviation (RSD) and satisfactory recovery ranging from 93 to 108%. The obtained results were statistically similar (95% confidence level) with those performed through ultra-fast liquid chromatography (UFLC). Furthermore, the sensor showed an improvement in the analytical performance for CHL detection, when compared to other sensors reported in the literature. Therefore, the developed method is reliable and promising for implementation in monitoring CHL residues in milk samples.

PMID:34812438 | DOI:10.1039/d1ay01756j

Categories
Nevin Manimala Statistics

Evaluation of MMP-12 expression in chronic rhinosinusitis with nasal polyposis

Rhinology. 2021 Nov 23. doi: 10.4193/Rhin21.320. Online ahead of print.

ABSTRACT

BACKGROUND: The purpose of this study was to evaluate the expression of MMP-12 in patients with chronic rhinosinusitis with polyps (CRSwNP).

METHODOLOGY: Tissue samples from 37 patients with CRSwNP undergoing functional endoscopic sinus surgery and healthy mucosa specimens from 12 healthy controls were obtained intraoperatively. The mRNA and protein expression levels of MMP-12 were quantified by real-time polymerase chain reaction and Western blotting, respectively.

RESULTS: mRNA levels of MMP-12 were significantly elevated in the CRSwNP tissue samples compared to those in control ones. The protein levels of MMP-12 showed a trend of increasing but with no statistical significance.

CONCLUSIONS: Elevation of MMP-12 in patients with CRSwNP suggests its potential implication in the pathogenesis of the disease. The difference in the expression profile observed between mRNA and protein levels could be due to post-translational gene expression regulation. Our findings provide evidence that MMP-12 along with other MMPs may serve as a biomarker and therapeutic target in the management of the disease.

PMID:34812434 | DOI:10.4193/Rhin21.320

Categories
Nevin Manimala Statistics

Consumer experiences of food environments during the Covid-19 pandemic: Global insights from a rapid online survey of individuals from 119 countries

Glob Food Sec. 2021 Nov 18:100594. doi: 10.1016/j.gfs.2021.100594. Online ahead of print.

ABSTRACT

This study investigates consumer experiences of food environments and food acquisition practices during the Covid-19 pandemic. Our rapid assessment online survey featured a convenience sample of 2015 individuals from 119 countries, spanning Western Europe, North America, Latin America, Asia-Pacific, and Africa. Data collection took place in April 2020 during the second month of the pandemic. Participants were recruited via existing networks of the United Nations System Standing Committee on Nutrition, through social media, and by snowballing. The majority of participants were female (71.9%), from low- and middle-income countries (51.0%), and working in nutrition or healthcare (39.3%). Qualitative thematic analysis and descriptive statistics reveal a series of common global experiences related to food availability and accessibility, food prices and affordability, food acquisition practices, and food preparation and consumption. The importance of community food participation, food sharing, and resource allocation are highlighted, along with increasing awareness of healthy diets and food waste. We identify ten synergistic policy entry points to: 1) build resilient and equitable food environments resistant to stresses and shocks; 2) harness positive dietary-related behaviors manifested during the pandemic; and, 3) mitigate the projected nutrition crisis and promote sustainable healthy diets for all.

PMID:34812406 | PMC:PMC8598973 | DOI:10.1016/j.gfs.2021.100594

Categories
Nevin Manimala Statistics

Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images

IEEE Access. 2021 Jun 2;9:85442-85454. doi: 10.1109/ACCESS.2021.3085418. eCollection 2021.

ABSTRACT

In this work we implement a COVID-19 infection detection system based on chest X-ray images with uncertainty estimation. Uncertainty estimation is vital for safe usage of computer aided diagnosis tools in medical applications. Model estimations with high uncertainty should be carefully analyzed by a trained radiologist. We aim to improve uncertainty estimations using unlabelled data through the MixMatch semi-supervised framework. We test popular uncertainty estimation approaches, comprising Softmax scores, Monte-Carlo dropout and deterministic uncertainty quantification. To compare the reliability of the uncertainty estimates, we propose the usage of the Jensen-Shannon distance between the uncertainty distributions of correct and incorrect estimations. This metric is statistically relevant, unlike most previously used metrics, which often ignore the distribution of the uncertainty estimations. Our test results show a significant improvement in uncertainty estimates when using unlabelled data. The best results are obtained with the use of the Monte Carlo dropout method.

PMID:34812397 | PMC:PMC8545186 | DOI:10.1109/ACCESS.2021.3085418

Categories
Nevin Manimala Statistics

Trends, Technologies, and Key Challenges in Smart and Connected Healthcare

IEEE Access. 2021 May 11;9:74044-74067. doi: 10.1109/ACCESS.2021.3079217. eCollection 2021.

ABSTRACT

Cardio Vascular Diseases (CVD) is the leading cause of death globally and is increasing at an alarming rate, according to the American Heart Association’s Heart Attack and Stroke Statistics-2021. This increase has been further exacerbated because of the current coronavirus (COVID-19) pandemic, thereby increasing the pressure on existing healthcare resources. Smart and Connected Health (SCH) is a viable solution for the prevalent healthcare challenges. It can reshape the course of healthcare to be more strategic, preventive, and custom-designed, making it more effective with value-added services. This research endeavors to classify state-of-the-art SCH technologies via a thorough literature review and analysis to comprehensively define SCH features and identify the enabling technology-related challenges in SCH adoption. We also propose an architectural model that captures the technological aspect of the SCH solution, its environment, and its primary involved stakeholders. It serves as a reference model for SCH acceptance and implementation. We reflected the COVID-19 case study illustrating how some countries have tackled the pandemic differently in terms of leveraging the power of different SCH technologies, such as big data, cloud computing, Internet of Things, artificial intelligence, robotics, blockchain, and mobile applications. In combating the pandemic, SCH has been used efficiently at different stages such as disease diagnosis, virus detection, individual monitoring, tracking, controlling, and resource allocation. Furthermore, this review highlights the challenges to SCH acceptance, as well as the potential research directions for better patient-centric healthcare.

PMID:34812394 | PMC:PMC8545204 | DOI:10.1109/ACCESS.2021.3079217

Categories
Nevin Manimala Statistics

Multiple records and polymorphism of Parastichopus regalis (Cuvier, 1817) (Echinodermata: Holothuroidea: Stichopodidae) along the Algerian coast

Zootaxa. 2021 Sep 9;5032(4):549-562. doi: 10.11646/zootaxa.5032.4.5.

ABSTRACT

The family Stichopodidae is represented in the Mediterranean Sea by the genus Parastichopus which includes two non-endemic species; Parastichopus tremulus (Gunnerus, 1767) and Parastichopus regalis (Cuvier, 1817). On the Algerian coast (southwestern Mediterranean Sea), two morphotypes of P. regalis were observed, one with dark spots on the dorsal surface and the other non-spotted. In total, 65 individuals of P. regalis were recorded from 22 stations along the Algerian coast during an oceanographic campaign. Twelve individuals (6 of each morphotype) were used for a comparative study of the morphological (including endoskeletal) characteristics. Table ossicles, the only ossicles of the body wall of the two morphotypes of P. regalis, are here compared with regard to the disk diameter of the tables and the total area of the surface of the disc. Statistical analysis did not show any significant differences between the spotted and the non-spotted morphotypes.

PMID:34811110 | DOI:10.11646/zootaxa.5032.4.5

Categories
Nevin Manimala Statistics

Diversity and distribution of the superfamily Grylloidea (Orthoptera: Ensifera: Gryllidea) in the Nearctic region

Zootaxa. 2021 Sep 21;5040(2):283-288. doi: 10.11646/zootaxa.5040.2.7.

ABSTRACT

Based on the geographic distribution database of the Orthoptera Species File, the diversity and distribution of the superfamily Grylloidea in the Nearctic region was studied using the statistics and Sorensen dissimilarity coefficient. A total of 164 species or subspecies belonging to 4 families, 9 subfamilies and 27 genera were recorded from this region; among which Gryllidae (93, 56.70%), followed by Trigonidiidae (44, 26.83%), Mogoplistidae (25, 15.24%), and Phalangopsidae (2, 1.22%). The diversity exhibits an asymmetric distribution pattern, with the southeastern coastal plain, the Interior Plateau and Piedmont of the United States was the most abundant. At the same time, the regional similarity of species distribution was analyzed, and the Nearctic was divided into four subregions: Boreal Arctic zone of North America, Eastern temperate North America, Northeast temperate North America, and Southern North America western temperate North America.

PMID:34811041 | DOI:10.11646/zootaxa.5040.2.7

Categories
Nevin Manimala Statistics

A standardized and statistically defensible framework for quantitative morphological analyses in taxonomic studies

Zootaxa. 2021 Aug 18;5023(2):293-300. doi: 10.11646/zootaxa.5023.2.9.

ABSTRACT

Although body size correction and inferential statistics have been used in morphological studies for many decades, their applications are far from being ubiquitous. We performed a meta-analysis to quantify the extent of taxonomic papers that performed body size correction and implemented a statistical hypothesis testing framework during the analysis of morphological data. Our results indicate that in most papers, neither of these analyses were performed but instead, cursory comparisons of descriptive statistics were presented. With the development of numerous freely available and powerful statistical programs such as R, we find it prudent to outline a standardized and statistically defensible framework to enhance the workflow of morphological analyses in taxonomic studies. This 5-step approach can be applied to meristic and mensural data across a wide range of taxonomic groups. We include an easy-to-use companion R script to facilitate the implementation of this workflow. Our proposed framework is not rooted in phylogenetic or evolutionary theory and hence, should not be used in place of explicit species delimitation techniques. Nevertheless, it can be incorporated into a more robust integrative taxonomic framework and is particularly useful for identifying diagnostic characters for species diagnoses.

PMID:34810961 | DOI:10.11646/zootaxa.5023.2.9

Categories
Nevin Manimala Statistics

Character correlation and its use for identification

Zootaxa. 2021 Nov 22;5071(1):131-142. doi: 10.11646/zootaxa.5071.1.7.

ABSTRACT

A method is presented for correlating phylogenetic characters through cladistic analysis. It extends the use of phylogenetic datasets for diagnostic purposes. It improves matrix-based identification tools by predicting novel character-state combinations that were not observed when the key was constructed. By interpreting homoplasy as analytical error, hypothetical character-state combinations are tested for the homoplasy that they would add to the shortest tree(s). The correlation is equal to the homoplasy summed across all state combinations, divided by a maximum possible value. The results depend on uncertainty about the sequence of state transitions and their overlap among characters. A correlation index r is proposed for sets of non-additive characters; it is a kind of multiple-regression value, and its ensemble value R is a statistic of a whole matrix. This approach can be used to select sets of the best “proxy” characters to substitute for unobservable characters of interest. The concept can be extended to continuous characters. Worked examples are given with datasets of various insect orders.

PMID:34810677 | DOI:10.11646/zootaxa.5071.1.7

Categories
Nevin Manimala Statistics

Factorial validity and internal consistency of a practitioners’ checklist for therapists in rehabilitation

JBI Evid Implement. 2021 Apr 9;19(4):387-393. doi: 10.1097/XEB.0000000000000279.

ABSTRACT

AIMS: The current study aimed to assess the validity and internal consistency of a 20-item checklist to help provide rehabilitation based on effective and clear goal setting.

METHODS: A questionnaire survey was conducted regarding rehabilitation practices followed by physical, occupational, and speech-language therapists over the past month. The questionnaire was based on a checklist covering the following four areas, each comprising five items: goal setting based on patient and family intent and therapist perspective including long-term and short-term goals; therapist’s specialized analysis and focalization of problems using the International Classification of Functioning, Disability and Health to clarify work processes and behaviors that hinder high-priority activities; proposal of plans considering the evidence and environment, which clarifies options for resolution methods (plans) and evidence; and formulation and implementation of plans including patient and family intent, which determines plan frequency and implementation period. The checklist was prepared based on medical records and previous studies by two occupational therapists who had experience in providing hospital and home-visit rehabilitation. To test the factorial validity of the 20-item checklist, confirmatory factor analysis was performed, and Cronbach’s α coefficients were calculated.

RESULTS: The participants’ mean age was 28 (25-75th percentile, range: 25-32) years. Of the 385 participants, 163 were home-visit rehabilitation therapists. Our model revealed a fair fit to data (χ2 statistic = 602.0) and standardized path coefficients ranged from 0.67 to 0.95. Path coefficients were at least 0.41 for all 20 items. Cronbach’s α for goal setting, problem analysis, problem solving method proposals, and formulation and implementation of specific plans were 0.896, 0.890, 0.935, and 0.925, respectively.

CONCLUSION: Based on the assessment of therapists’ practice over 1 month using the developed checklist, the factorial validity and internal consistency of these checklist items were considered acceptable. Education based on these checklist items might support goal setting and planning and improve patient outcomes.

PMID:34810408 | DOI:10.1097/XEB.0000000000000279