Automating incidence and prevalence analysis in open cohorts.

MOTIVATION: Data is increasingly used for improvement and research in public health, especially administrative data such as that collected in electronic health records. Patients enter and exit these typically open-cohort datasets non-uniformly; this can render simple questions about incidence and prevalence time-consuming and with unnecessary variation between analyses. We therefore developed methods to automate analysis of incidence and prevalence in open cohort datasets, to improve transparency, productivity and reproducibility of analyses. IMPLEMENTATION: We provide both a code-free set of rules for incidence and prevalence that can be applied to any open cohort, and a python Command Line Interface implementation of these rules requiring python 3.9 or later. GENERAL FEATURES: The Command Line Interface is used to calculate incidence and point prevalence time series from open cohort data. The ruleset can be used in developing other implementations or can be rearranged to form other analytical questions such as period prevalence. AVAILABILITY: The command line interface is freely available from https://github.com/THINKINGGroup/analogy_publication .

Evaluation of Mangifera indica, Anacardium occidentale leaf extracts and 0.2% Chlorhexidine gluconate on disinfection of maxillofacial silicone material surface contaminated with microorganisms - An invitro study.

Maintenance of the quality and hygiene of maxillofacial prosthesis allows to maintain the health of the residual tissues. Sampling of the maxillofacial prostheses has relieved presence of microbial colonization on silicone surfaces. Cleaning procedures of maxillofacial silicones are done using mechanical means or using adjunctive with chemical means. Cleaning with a 2-4% chlorhexidine gluconate spray or dipping in solution for a minute and then washing under running water can sufficiently condition to reduce the amount of bacterial contamination. Due to rising microorganism resistance and fewer adverse effects, phytoextracts appear to be a viable option. Additionally, the use of excipients derived from plants is provides new opportunities for the pharmaceutical industry into the creation of innovative pharmaceutical products that are sustainable. Aim: To evaluate and compare the leaf extracts of Mangifera indica (M.indica), Anacardium occidentale(A.occidentale) and 0.2% chlorhexidine gluconate (CHX) on disinfection of maxillofacial silicone material surface contaminated with Staphylococcus aureus (S.aureus) and Candida albicans (C.albicans). Methods: Of the 150 maxillofacial silicone elastomer silicone samples, 75 samples were contaminated with S. aureus and 75 with C.albicans. The contaminated disc was rolled on blood agar and pre-disinfection Colony Forming Units (CFU) were evaluated followed by subjecting the discs to disinfection protocols. The contaminated discs with S. aureus and C.albicans were disinfected using M.indica leaf extracts, A.occidentale leaf extracts and 0.2% CHX for 10 min. Post-disinfection CFUs were evaluated by rolling the disc on blood agar. The results were tabulated and analysed using dependent t-test, one-way ANOVA and Tukeys multiple posthoc procedure. Results: Pair-wise comparison of pre-and post-disinfection log CFU counts of S.aureus gave a statistical significance between 0.2% CHX and and M.indica leaf extract. No statistically significant results were found between 0.2% CHX and A.occidentale. Pair wise comparison of the log CFU from pre-disinfection to post-disinfection of C.albicans gave a statistical significance between all the three groups. Conclusions: In the present study A.occidentale leaf extract and M.indica leaf extract have shown significant reduction in CFU of both the organisms. 0.2% CHX showed the most CFU reduction post disinfection of maxillofacial silicone material surface contaminated S.aureus and C.albicans followed by A.occidentale leaf extracts and M.indica leaf extracts. Given the limitations of the current research, A.occidentale leaf extract and M.indica leaf extract can be used as an alternative for disinfection of maxillofacial silicone prosthesis.

Evaluation of Osteoconductive and Antimicrobial Properties of Novel Graphene on Dental Implants: An In Vitro Study.

Introduction Graphene oxide (GO) has emerged as a promising material in dentistry, leveraging its exceptional properties. This study evaluates the physicochemical attributes of GO and elucidates its derived biological properties. These encompass biocompatibility, antibacterial efficacy, as well as its influence on osteogenic and odontogenic differentiation processes. Understanding the intricate interplay between the physicochemical and biological aspects of GO provides valuable insights into its potential applications in various dental contexts. Materials and methods The study group (so; titanium discs surface coated with GO) and the control group (co; plain/uncoated machined titanium discs) were divided based on cell attachment and cell proliferation assays (n=60). These groups were further divided into subgroups (n=30) based on the tested time intervals, specifically 24 hours, 48 hours, and 72 hours. The study and controlgroups were further subdivided into three subgroups (n=10) based on the microorganisms tested i.e Porphyromonas gingivalis, Prevotella intermedia and Fusobacteria nucleatum. Results The results of this in vitro study suggest that GO-coated titanium dental implants have both increased osteogenic potential and antimicrobial efficacy. Graphene has good potential as a promising alternative to traditional surface treatments, and a graphene-coated implant can be used for enhanced osseointegration.  Conclusion The osteogenic potential and the cell attachment were higher on titanium surfaces coated with GO nanoparticles when compared to plain titanium discs at 24, 48 and 72 hours respectively.

The Property Rights Index (PRIF) can be used worldwide to compare different forest governance systems.

The bundle of forest landowners' rights largely varies from one jurisdiction to another. On a global scale, the diversity of forest management regime and property rights systems is such that finding comprehensive and standardised approaches for governance analysis purposes is a challenging task. This paper explores the use of the Property Rights Index for Forestry (PRIF) as an analytical tool based on five rights domains (access, withdrawal, management, exclusion, and alienation) to assess how regulatory frameworks impact the owners' forest property rights. We show that PRIF is a reliable index for various governance arrangements, considering its ability to score forest owners' freedom to decide in case studies that range from the Amazon area (Brazil), Misiones province (Argentina) and Quebec (Canada) to community-managed Nepalese and Mexican forests. PRIF scores obtained in these diverse governance arrangements confirm that the governance of forests held by entities other than the state is driven by two factors: the owner's ability to exclude the public from the use of his/her own resource and the owner's freedom to decide on the forest management goals. These factors explained 66.44% of the variance in our sample and should be considered as the main potential drivers while implementing any new international or national policy. Despite having a few limitations, the PRIF is a promising governance indicator and has been proven to perform well for various socioeconomic and legal contexts.

Prevalence and demographic variation of cardiovascular, renal, metabolic, and mental health conditions in 12 million english primary care records.

BACKGROUND: Primary care electronic health records (EHR) are widely used to study long-term conditions in epidemiological and health services research. Therefore, it is important to understand how well the recorded prevalence of these conditions in EHRs, compares to other reliable sources overall, and varies by socio-demographic characteristics. We aimed to describe the prevalence and socio-demographic variation of cardiovascular, renal, and metabolic (CRM) and mental health (MH) conditions in a large, nationally representative, English primary care database and compare with prevalence estimates from other population-based studies. METHODS: This was a cross-sectional study using the Clinical Practice Research Datalink (CPRD) Aurum primary care database. We calculated prevalence of 18 conditions and used logistic regression to assess how this varied by age, sex, ethnicity, and socio-economic status. We searched the literature for population prevalence estimates from other sources for comparison with the prevalences in CPRD Aurum. RESULTS: Depression (16.0%, 95%CI 16.0-16.0%) and hypertension (15.3%, 95%CI 15.2-15.3%) were the most prevalent conditions among 12.4 million patients. Prevalence of most conditions increased with socio-economic deprivation and age. CRM conditions, schizophrenia and substance misuse were higher in men, whilst anxiety, depression, bipolar and eating disorders were more common in women. Cardiovascular risk factors (hypertension and diabetes) were more prevalent in black and Asian patients compared with white, but the trends in prevalence of cardiovascular diseases by ethnicity were more variable. The recorded prevalences of mental health conditions were typically twice as high in white patients compared with other ethnic groups. However, PTSD and schizophrenia were more prevalent in black patients. The prevalence of most conditions was similar or higher in the primary care database than diagnosed disease prevalence reported in national health surveys. However, screening studies typically reported higher prevalence estimates than primary care data, especially for PTSD, bipolar disorder and eating disorders. CONCLUSIONS: The prevalence of many clinically diagnosed conditions in primary care records closely matched that of other sources. However, we found important variations by sex and ethnicity, which may reflect true variation in prevalence or systematic differences in clinical presentation and practice. Primary care data may underrepresent the prevalence of undiagnosed conditions, particularly in mental health.

Candidate genes and proteins regulating bull semen quality: a review.

Poor semen profile reflected by suboptimum fertility statistics is a concern in bulls reared for breeding purpose. A critical review of research on candidate genes and proteins associated with semen quality traits will be useful to understand the progress of molecular marker development for bull semen quality traits. Here, we have tabulated and classified candidate genes and proteins associated with bull semen quality based on a literature survey. A total of 175 candidate genes are associated with semen quality traits in various breeds of cattle. Several studies using candidate gene approach have identified 26 genes carrying a total of 44 single nucleotide polymorphisms. Furthermore, nine genome-wide association studies (GWASes) have identified 150 candidate genes using bovine single nucleotide polymorphisms (SNP) chips. Three genes, namely membrane-associated ring-CH-type finger 1 (MARCH1), platelet-derived growth factor receptor beta, and phosphodiesterase type 1, were identified commonly in two GWASes, which, especially MARCH1, are required to explore their regulatory roles in bull semen quality in in-depth studies. With the advancement of high-throughput-omic technologies, more candidate genes associated with bull semen quality may be identified in the future. Therefore, the functional significance of candidate genes and proteins need to be delved further into future investigations to augment bull semen quality.

Assessment of knowledge, awareness and practices toward the use of 3D printing among dental laboratory technicians in Karnataka, India: A cross-sectional study.

With the use of CAD/CAM technology and rapid prototyping, the opportunities for digitisation and technology are unlimited. 3D printing is going to revolutionise traditional teaching and laboratory methods with rapid progress of new materials, printing technology and machines. Given the large number of options available, one must keep up with the current and emerging technology in order to make benefit of the same. The aim of the study is to assess dental laboratory technicians' knowledge, understanding and practices related the use of 3D printing in dentistry in India. Methods: From November 2021 to January 2022, a cross-sectional questionnaire-based study was done among dental laboratory technicians in India. Dental technicians were given access to a self-explanatory questionnaire via Google forms link consisting of 12 questions that evaluated their knowledge, awareness and practices regarding 3D printing. The CHERRIES protocol for presenting the findings of the survey was followed. Chi-square test and independent t-test was used for statistical analysis by SPSS version 20.0. Results: A total of 191 responses were obtained after the questionnaire was circulated to 220 technicians. 171 dental technicians (89.53%) were acquainted of the usage of 3D printing in dentistry.169 (88.48%) Dental technicians preferred 3D printing to traditional procedures. Majority of dental technicians indicated they want to include the 3D printing into their regular work practices and believe digital technology will enhance our profession. Conclusion: The level of awareness of digital dentistry and 3D printing among the participants is acceptable. Dental technicians at private laboratory showed better understanding about 3D printing as compared to technicians working at dental colleges nevertheless, dental education programmes, webinars and hands-on training should be undertaken that will enhance their expertise of 3D printing.

Assessment of knowledge, awareness, and practices toward the use of 3D printing in dentistry among dental practitioners and dental technicians: A cross-sectional study.

Background: The applications and scope of digitization and technology in dentistry are becoming increasingly valuable right from clinical dentistry to research, student training, teaching, and laboratory techniques. Mastering 3D printing and its usage are essential for dental practitioners and dental technicians as it allows them to choose and necessarily know what is offered, as well as how to implement it in everyday practices thereby contributing to the betterment of the dental profession. The study aims to assess dental practitioners' and dental technicians' knowledge, understanding, and practices related to the use of 3D printing in dentistry. Methods: A cross-sectional questionnaire-based study was done among dental practitioners and technicians in Karnataka, India who were given access to a self-explanatory questionnaire via Google link consisting of questions that evaluated their knowledge, awareness, and practices regarding 3D printing. The Chi-square test was used for statistical analysis. Results: A total of 380 replies were obtained after the questionnaire was circulated. Awareness regarding the use of digital technology in dentistry was known by 98.9% of practitioners and 92.7% of technicians, of which we discovered that 9.28% of practitioners and 17.7% of technicians were unfamiliar with 3D printing, which was statistically significant (p = 0.0400*). 81.6% of practitioners consider 3D printing can be used to fabricate complex design prostheses. Conclusion: The participants' understanding of digital dentistry and 3D printing is acceptable. The majority of dental professionals expressed an interest in adopting 3D printing and believe that there should be a forum for collecting and exchanging skills and knowledge about 3D printing.

Molecular epidemiology of lumpy skin disease outbreak in Odisha, India.

Lumpy skin disease virus (LSDV) is the causative agent of lumpy skin disease (LSD) which is a member of Capripoxvirus. It is an economically critical transboundary disease affecting cattle. This study records an LSD outbreak in Ganjam district of Odisha, India during August 2020. The epidemiological data were analysed and LSDV was genetically characterized. Out of the 452 animals clinically examined (59 farms), 63 animals were clinically affected with LSD, with a total morbidity rate of 13.93%. The morbidity rates in the surveyed villages (n = 10) varied from 5.55 to 21.62%. The multivariable logistic regression analysis showed that grazing of animals (P = 0.013; OR: 2.04; 95% CI: 1.16-3.57) and age of cows > 3 years old (P = 0.001; OR: 2.90; 95% CI: 1.65- 5.07) were potential risk factors for the presence of LSD. Out of the 53 clinically suspected animals' samples, 18 samples (33.96%) were found positive for both the P32 and F genes of Capripoxvirus by PCR. Phylogenetic analysis of the P32 gene of LSDV (MW147486) showed 100% similarity with other isolates from India, Bangladesh, Egypt and Saudi Arabia. Additionally, phylogenetic analysis of the F gene of LSDV (MW147485) revealed a similarity of 97.99%, with Odisha India (MT074110) isolate and located in the same cluster with other Indian isolates.

On effective cognitive state classification using novel feature extraction strategies.

Investigating new features for human cognitive state classification is an intiguing area of research with Electroencephalography (EEG) based signal analysis. We plan to develop a cost-effective system for cognitive state classification using ambulatory EEG signals. A novel event driven environment is created using external stimuli for capturing EEG data using a 14-channel Emotiv neuro-headset. A new feature extraction method, Gammatone Cepstrum Coefficients (GTCC) is introduced for ambulatory EEG signal analysis. The efficacy of this technique is compared with other feature extraction methods such as Discrete Wavelet Transformation (DWT) and Mel-Frequency Cepstral Coefficients (MFCC) using statistical metrics such as Fisher Discriminant Ratio (FDR) and Logistic Regression (LR). We obtain higher values for GTCC features, demonstrating its discriminative power during classification. A superior performance is achieved for the EEG dataset with a novel ensemble feature space comprising of GTCC and MFCC. Furthermore, the ensemble feature sets are passed through a proposed 1D Convolution Neural Networks (CNN) model to extract novel features. Various classification models like Probabilistic neural network (P-NN), Linear Discriminant Analysis (LDA), Multi-Class Support Vector Machine (MCSVM), Decision Tree (DT), Random Forest (RF) and Deep Convolutional Generative Adversarial Network (DCGAN) are employed to observe best accuracy on extracted features. The proposed GTCC, (GTCC+MFCC) & (GTCC +MFCC +CNN) features outperform the state-of-the-art techniques for all cases in our work. With GTCC+MFCC feature space and GTCC+MFCC+CNN features, accuracies of 96.42% and 96.14% are attained with the DCGAN classifier. Higher classification accuracies of the proposed system makes it a cynosure in the field of cognitive science.

An orthodontic analysis of the smile dynamics with videography.

BACKGROUND AND OBJECTIVES: Smile is one of the most effective means by which people convey their emotions. The objective of this study was to capture, analyse and measure the parameters through videos clips for studying the dynamics of posed and unposed smile and to measure the parameters through video clips for studying the dynamics of speech. METHODOLOGY: A total of 100 subjects seeking orthodontic treatment with Angle's Class I malocclusion were included in the study. The principal investigator selected the frames for speech and a panel of five members selected the appropriate frames for posed smile and unposed smiles. Frames after videography were used for measurements. Parameters like Maximum incisor exposure, Lower lip to upper incisor, Gingival exposure, Inter-labial gap etc were measured in "mm" for posed and unposed smile frames. Categorical data was compared using McNemar's test. p â€‹< â€‹0.05 was considered significant. RESULTS: The median of maximum upper incisal exposure (p â€‹= â€‹2.2e-16), lower lip to upper incisor (p â€‹= â€‹2.422e-13A), inter-labial gap (p â€‹= â€‹2.2e-16 A), smile width (p â€‹= â€‹5.212e-16 A) and smile index were significant (p â€‹= â€‹0.0001 A). There was a significant change from not exposed to exposed gingival exposure over posed smile to unposed smile (p â€‹= â€‹0.0008). The most posterior maxillary tooth visible in the posed and unposed groups were the second premolars in 57% and 74% patients, respectively. In both the smile groups, 55% of subjects exhibited a consonant smile. CONCLUSION: It can be concluded that the information obtained from the current video graphic study can be used as a guideline for the diagnosis and as a part of comprehensive treatment planning.

Sex-related differences in hemato-biochemical indices of adult Vanaraja chickens during summer and winter seasons.

AIM: The objective of this study was to evaluate the changes in hemato-biochemical indices in male and female Vanaraja chickens under tropical environment during summer and winter season. MATERIALS AND METHODS: A total of 120 day-old sexed Vanaraja chicks were selected as experimental chickens and distributed equally in two groups having 60 female and 60 male chickens in each group, respectively. The experiment was continued for 8 weeks (56 days) and both male and female chickens were slaughtered by cervical dislocation method. All parameters were estimated at the end of the experiment in both seasons. RESULTS: Male had higher blood glucose, Ca and P level. Blood glucose level significantly (p<0.05) reduced in summer. Female had higher total protein, albumin, globulin, and albumin/globulin ratio. Alanine aminotransferase and aspartate aminotransferase enzyme concentration were significantly (p<0.05) higher in summer. Total erythrocyte count, total leukocyte count, hemoglobin (Hb), Hb/lymphocyte ratio, and packed cell volume were significantly (p<0.05) higher in males. Mean corpuscular volume and mean corpuscular Hb were significantly (p<0.05) higher in females. CONCLUSION: Sex of chickens had a significant (p<0.05) effect on different parameters whereas season had nonsignificant (p>0.05) effect in most of the observed parameters. Hence, Vanaraja chickens are adaptable to local tropical climate and can be reared efficiently as backyard poultry.

X-gal staining of canine skin tissues: A technique with multiple possible applications.

BACKGROUND: Estimation of ß-galactosidase (ßgal) activity in human cells and tissues indicate its possible use as a marker of senescence. OBJECTIVES: This study was done to detect senescence-associated ßgal (SA-ßgal) activity in canine skin tissue by using its substrate 5-bromo-4-chloro-3-indolyl ß-D-galactosidase (X-gal). MATERIALS AND METHODS: Skin samples were collected through rapid necropsy process. The X-gal staining was done by altering different factors of the staining procedure like pH of the reagents and incubation time. Further, effect of tissue preservation procedure was also evaluated. RESULTS: Typical X-gal staining was detected in old dogs' skin samples and it was detectable both at pH 6 and pH 7.3. The cells present in the inner lining of the hair follicles and sebaceous glands are the major cells that have high SA-ßgal activity. The X-gal staining intensity was more prominent in tissues preserved in liquid nitrogen at -196°C than in -80°C freezer. Prolonged incubation period increased the intensity of staining. CONCLUSIONS: This study indicates possibility of X-gal staining in canine tissues and opens an avenue for further in-depth studies that might be useful for different research and clinical studies like determination of dog's approximate age.