Going the extra mile: Developing an interactive mobile application for maternal and infant care for tribal birth attendants.

Background: Mobile health applications are an established tool for healthcare management, patient education, and even capacity building for healthcare providers. However, its use among traditional birth attendants (TBAs) is limited. The aim of this study is to explore the needs and bottlenecks of developing an interactive mobile application for maternal and infant care (MAI) of TBAs. Materials and Methods: It is a qualitative study having in-depth interviews (face-to-face approach) conducted among the seekers of MAI services. Setting: This study is conducted in tribal and rural locations in the district Sirohi, Rajasthan. Participants: TBAs and tribal females of reproductive age in tribal-dominated areas have participated. The development of an interactive mobile application MAI has three phases: (1) a need-based approach to identify the needs on the ground; (2) identifying intervention bottlenecks and possible solutions; (3) design and development of the mobile application. Results: Ninety-six tribal females of reproductive age participated in the needs assessment. Eighty percent of them were ≤ 30 years of age and 40% of them were uneducated. Most participants informed that lack of information (culturally/locally appropriate content), peer advocacy, affordability, lack of transportation, and the influence of TBAs are the significant factors for less uptake of maternity and child health services in the tribal and rural areas. Conclusion: The MAI app has culturally/locally appropriate content and is prepared by the local TBAs and Accredited Social Health Activists, with full local character and clothing. MAI app has videos and audio in the local language (Marwari) with pictorial quizzes. Using the MAI app, TBAs may self-educate and guide tribal pregnant women about maternal hygiene and infant healthcare as needed at various stages of pregnancy and childbirth.

Carrier Screening and Diagnosis for Spinal Muscular Atrophy Using Droplet Digital PCR Versus MLPA: Analytical Validation and Early Test Outcome.

Background: Spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular life-threatening disorder. Owing to high carrier frequency, population-wide SMA screening to quantify the copy number of SMN gene is recommended by American College of Medical Genetics and Genomics. An accurate, reliable, short runaround time and cost-effective method may be helpful in mass population screening for SMA. Methods: Multiplex ligation-dependent probe amplification (MLPA) is a gold standard to estimate the copy number variation (CNV) for SMN1 and SMN2 genes. In this study, we validated droplet digital polymerase chain reaction (ddPCR) for the determination of CNV for both SMN1 and SMN2 exon 7 for a diagnostic purpose. In total, 66 clinical samples were tested using ddPCR, and results were compared with the MLPA as a reference test. Results: For all samples, CNV for SMN1 and SMN2 exon 7 was consentaneous between ddPCR and MLPA test results (κ = 1.000, p < 0.0001). In addition, ddPCR also showed a significant acceptable degree of test repeatability, coefficient of variation < 4%. Conclusion: ddPCR is expected to be utilitarian for CNV detection for carrier screening and diagnosis of SMA. ddPCR test results for CNV detection for SMN1/SMN2 exon 7 are concordant with the gold standard. ddPCR is a more cost-effective and time-saving diagnostic test for SMA than MLPA. Furthermore, it can be used for population-wide carrier screening for SMA.

Comparison of depth of electrode insertion between cochleostomy and round window approach: a cadaveric study.

INTRODUCTION: Round window approach and cochleostomy approach can have different depth of electrode insertion during cochlear implantation which itself can alter the audiological outcomes in cochlear implant. OBJECTIVE: The current study was conducted to determine the difference in the depth of electrode insertion via cochleostomy and round widow approach when done serially in same temporal bone. METHODOLOGY: This is a cross-sectional study conducted in the Department of Otorhinolaryngology in conjunction with Department of Anatomy and Department of Diagnostic and Interventional Radiology over a period of 1 year. 12-electrode array insertion was performed via either approach (cochleostomy or round window) in the cadaveric temporal bone. HRCT temporal bone scan of the implanted temporal bone was done and depth of insertion and various cochlear parameters were calculated. RESULT: A total of 12 temporal bones were included for imaging analysis. The mean cochlear duct length was 32.892 mm; the alpha and beta angles were 58.175° and 8.350°, respectively. The mean angular depth of electrode insertion via round window was found to be 325.2° (SD = 150.5842) and via cochleostomy 327.350 (SD = 112.79) degree and the mean linear depth of electrode insertion via round window was found to be 18.80 (SD = 4.4962) mm via cochleostomy 19.650 (SD = 3.8087) mm, which was calculated using OTOPLAN 1.5.0 software. There was a statically significant difference in linear depth of insertion between round window and cochleostomy. Although the angular depth of insertion was higher in CS group, there was no statistically significant difference with round window type of insertion. CONCLUSION: The depth of electrode insertion is one of the parameters that influences the hearing outcome. Linear depth of electrode insertion was found to be more in case of cochleostomy compared to round window approach (p = 0.075) and difference in case of angular depth of electrode insertion existed but not significant (p = 0.529).

SpeedFlower: a comprehensive speed breeding protocol for indica and japonica rice.

To increase rice yields and feed billions of people, it is essential to enhance genetic gains. However, the development of new varieties is hindered by longer generation times and seasonal constraints. To address these limitations, a speed breeding facility has been established and a robust speed breeding protocol, SpeedFlower is developed that allows growing 4-5 generations of indica and/or japonica rice in a year. Our findings reveal that a high red-to-blue (2R > 1B) spectrum ratio, followed by green, yellow and far-red (FR) light, along with a 24-h long day (LD) photoperiod for the initial 15 days of the vegetative phase, facilitated early flowering. This is further enhanced by 10-h short day (SD) photoperiod in the later stage and day and night temperatures of 32/30 °C, along with 65% humidity facilitated early flowering ranging from 52 to 60 days at high light intensity (800 µmol m-2 s-1). Additionally, the use of prematurely harvested seeds and gibberellic acid treatment reduced the maturity duration by 50%. Further, SpeedFlower was validated on a diverse subset of 198 rice accessions from 3K RGP panel encompassing all 12 distinct groups of Oryza sativa L. classes. Our results confirmed that using SpeedFlower one generation can be achieved within 58-71 days resulting in 5.1-6.3 generations per year across the 12 sub-groups. This breakthrough enables us to enhance genetic gain, which could feed half of the world's population dependent on rice.

Applicability of the Suchey-Brooks method for age estimation in an Indian population: A computed tomography-based exploration using Bayesian analysis and machine learning.

Age estimation occupies a prominent niche in the identification process. In cases where skeletal remains present for examination, age is often estimated from markers distributed throughout the skeletal framework. Within the pelvis, the pubic symphysis constitutes one of the more commonly utilized skeletal markers for age estimation, with the Suchey-Brooks method comprising one of the more commonly employed methods for pubic symphyseal age estimation. The present study was targeted towards assessing the applicability of the Suchey-Brooks method for pubic symphyseal age estimation, an aspect largely unreported for an Indian population. In order to do so, clinically undertaken pelvic computed tomography scans of individuals were evaluated using the Suchey-Brooks method, and the error associated with the method was established using Bayesian analysis and different machine learning regression models. Amongst different supervised machine learning models, support vector regression and random forest furnished lowest error computations in both sexes. Using both Bayesian analysis and machine learning, lower error computations were observed in females, suggesting that the method demonstrates greater applicability for this sex. Inaccuracy and root mean square error obtained with Bayesian analysis and machine learning illustrates that both statistical modalities furnish comparable error computations for pubic symphyseal age estimation using the Suchey-Brooks method. However, given the numerous advantages associated with machine learning, it is recommended to use the same within medicolegal settings. Error computations obtained with the Suchey-Brooks method, regardless of the statistical modality utilized, indicate that the method should be used in amalgamation with additional markers to garner accurate estimates of age.

Digital eye strain among medical students associated with shifting to e-learning during COVID-19 pandemic: An online survey.

PURPOSE: This study aimed to determine the prevalence, risk factors, symptoms, and awareness of computer vision syndrome (CVS) among medical students during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: A cross-sectional observational study was conducted among 283 undergraduate medical students at a tertiary healthcare center. An electronic survey was conducted to collect the data. Data were analyzed using Statistical Package for Social Sciences (SPSS version 23). The Chi-square test (Fisher's exact test when required) was used to study the significance of associations. A P value <0.05 was considered statistically significant. RESULTS: A high prevalence of CVS was observed in which 92% reported at least one symptom while using a digital device, the most frequent being eye strain (49%). Among extraocular complaints, joint pain in the wrist and fingers was most frequent. Significant association (P < 0.05) of CVS was found with increased duration of digital device usage, refractive error, use of glasses or contact lens, preexisting dry eye disease, and use of topical eye drops. 37% of the participants were aware of the 20-20-20 rule, while only 11% followed it. CONCLUSION: CVS is a common health concern among medical students. Hence, to increase the productivity of work, significant risk factors need to be addressed and awareness must be raised.

Computed tomographic age estimation from the iliac crest and ischial tuberosity in an Indian population using supervised machine learning approaches.

Within the pelvis the iliac crest and ischial tuberosity display delayed ossification and fusion, thus, presenting as reliable maturity indicators. Amongst the different iliac crest and ischial tuberosity age estimation methods, the modified Kreitner-Kellinghaus stages constitute one of the more promising methods. The present study was directed towards establishing the applicability of the modified Kreitner-Kellinghaus method using five supervised machine learning approaches. Clinical CT scans of consenting individuals were collected and scored using the modified Kreitner-Kellinghaus method for the iliac crest and ischial tuberosity, independently. Age was subsequently estimated using different machine learning models. Cumulative scores computed from both markers were additionally employed for age estimation using machine learning. For iliac crest age estimation, Random Forest and Gradient Boosting Regression furnished lowest mean absolute error (2.42 years) and root mean square error (3.06 years). For ischial tuberosity age estimation, Gradient Boosting Regression garnered the lowest computations of mean absolute error (2.60 years) and root mean square error (3.09 years). For cumulative score based age estimation, Support Vector Regression and Gradient Boosting Regression yielded lowest mean absolute error (2.48 years) and root mean square error (3.07 years). Obtained error computations indicate that the iliac crest is a more accurate age marker in comparison to the ischial tuberosity. Additionally, cumulative score-based approaches garnered similar/ marginally more precise results in comparison to the iliac crest with all five models. This marginal improvement is not sufficient to justify employing the relatively more complicated cumulative score-based approach for age estimation. Hence, whenever available, the iliac crest should be preferred over the ischial tuberosity/ cumulative score-based approaches for age estimation.

Applicability of the six-phase method for auricular age estimation in an Indian population: A CT-based study.

Age estimation plays a crucial role in human identification. Amongst numerous age markers located throughout the skeletal framework, the auricular surface of the ilium presents as a resilient structure, with different methods for auricular age estimation currently in practice. Amongst these methods, the Osborne method is believed to permit accurate age estimation through its use of robust age categories and discrete phase descriptors. The present study aimed to assess the applicability of the Osborne method in an Indian population through a computed tomographic (CT) examination of the auricular surface, an aspect presently unreported. In order to do so, CT scans of 380 individuals were collected and evaluated using the Osborne method. A CT-based examination indicated that surface texture described by Osborne is difficult to appreciate through 3D CT images. Indistinct definitions associated with certain features, and the mosaic display of features within each phase further prevents applying the method effectively. Overall accuracy percentages of 99.47% and 98.90% were obtained using the method in males and females, respectively, with corresponding inaccuracy values of 10.10 years and 9.04 years. Significantly reduced accuracy percentages were obtained with alternate, more robust age brackets presented within the original study, demonstrating the limited reliability associated with the method. Inaccuracy and bias values computed for each decade indicate the relative utility of the method in aging 40-59-year-old individuals. Low accuracy percentages, high error rates and different methodological hindrances encountered within the present study illustrate the limited applicability of the Osborne method in aging an Indian population.

Machine learning and regression analysis for age estimation from the iliac crest based on computed tomographic explorations in an Indian population.

Age estimation constitutes an integral parameter of identification. In children, sub-adults, and young adults, accurate age estimation is vital on various aspects of civil, criminal, and immigration law. The iliac crest presents as a suitable age marker within these age cohorts, and the modified Risser method constitutes a relatively novel and unexplored method for iliac crest age estimation. The present study attempted to ascertain the applicability of this modified method for age estimation in the Indian population, an aspect previously unexplored, through computed tomographic examination of the iliac crest. Computed tomography scans of consenting individuals undergoing routine examinations of the pelvis/ abdomen for various clinically indicated reasons were collected and scored using the modified Risser stages. Computed tomographic examinations of the iliac crest indicate that the recalibrated method accurately depicts the temporal progression of ossification and fusion changes. Different regression and machine learning models were subsequently derived and/or trained to evaluate the accuracy and precision associated with the method. Amongst the ten regression models derived herein, compound regression exhibited the lowest inaccuracy (4.78 years) and root mean squared error values (5.46 years). Machine learning yielded further reduced error rates, with decision tree regression achieving inaccuracy and root mean squared error values of 1.88 years and 2.28 years, respectively. A comparative evaluation of error computations obtained from regression analysis and machine learning illustrates the statistical superiority of machine learning for forensic age estimation. Error computations obtained with machine learning suggest that the modified Risser method is capable of permitting reliable age estimation within criminal and civil proceedings.

An evaluation of the Gilbert-McKern pubic symphyseal age estimation method using Bayesian statistics and principal component analysis: A computed tomographic exploration in an Indian population.

Age of an individual constitutes a primary facet of human identification. In cases where skeletal remains present for examination, bony markers distributed throughout the skeletal framework are employed for age estimation. Amongst these markers, the pubic symphysis constitutes one of the more commonly utilized structures. Gilbert-McKern's pubic symphyseal age estimation method was derived to complement the original three component method, and permit accurate age estimation in females. However, subsequent investigations with the Gilbert-McKern method are limited, and completely lacking for an Indian population. In the present study, CT scans of 380 consenting individuals (190 males and 190 females) undergoing CT examinations for therapeutic purposes, aged 10 years and above, were scored according to Gilbert-McKern's three component method. A significant sexual dimorphism was observed with the scoring of the ventral rampart and symphyseal rim. An overall accuracy of 29.50% was obtained in females, indicating that the method lacks forensic utility in its primal form. Highest posterior density and highest posterior density region values were computed for each component using Bayesian analysis in both sexes, to enable age estimation from individual components, whilst overcoming issues of age mimicry. Amongst the three components, symphyseal rim furnished the most accurate and precise estimates of age, whereas the ventral rampart garnered highest error computations, in both sexes. Principal component analysis was utilized for multivariate age estimation by taking into consideration this differential contribution of individual components. Weighted summary age models, derived using principal component analysis, furnished inaccuracy values of 12.19 years and 12.30 years in females and males, respectively. Bayesian error computations obtained with the symphyseal rim in both sexes were even lower than those obtained with weighted summary age models, demonstrating its suitability as an independent age marker. Despite the use of statistical modalities of Bayesian inference and principal component analysis for age estimation, the method did not yield significantly reduced error rates in females, demonstrating its limited forensic applicability. While, statistically significant sex differences were observed with the scoring of Gilbert-McKern's components, concordant correlations, comparable accuracy and absolute error values were obtained for both sexes, indicating that the Gilbert-McKern method can be utilized to age either sex. However, inaccuracy and bias values obtained with different statistical modalities, as well as broad age intervals furnished with Bayesian analysis demonstrate the overall limited applicability of the Gilbert-McKern method in aging males and females of an Indian population.

Age estimation from iliac auricular surface using Bayesian inference and principal component analysis: a CT-based study in an Indian population.

Age estimation constitutes one of the pillars of human identification. The auricular surface of the ilium presents as a durable and robust structure within the human skeletal framework, capable of enabling accurate age estimation in older adults. Amongst different documented auricular age estimation methods, the Buckberry-Chamberlain method offers greater objectivity through its component-based approach. The present study aimed to test the applicability of the Buckberry-Chamberlain method in an Indian population through a CT-based examination of the auricular surface. CT scans of 435 participants undergoing CT examinations following the advice of their treating physicians were scrutinized for different age-related auricular changes. Three of the five morphological features described by Buckberry-Chamberlain could be appreciated on CT scans, and thus further statistical analysis was restricted to these features. Transition analysis coupled with Bayesian inference was undertaken individually for each feature to enable age estimation from individual features, while circumventing age mimicry. A Bayesian analysis of individual features yielded highest accuracy percentages (98.64%) and error rates (12.99 years) with macroporosity. Transverse organization and apical changes yielded accuracy percentages of 91.67% and 94.84%, respectively, with inaccuracy computations of 10.18 years and 11.74 years, respectively. Summary age models, i.e. multivariate age estimation models, derived by taking this differential accuracy and inaccuracy into consideration yielded a reduced inaccuracy value of 8.52 years. While Bayesian analysis undertaken within the present study enables age estimation from individual morphological features, summary age models appropriately weigh all appreciable features to yield more accurate and reliable estimates of age.

Assessment of the use and Safety of Protection Box for Intubation and Extubation Among Anaesthesiologists During COVID-19 Pandemic- A Cross-sectional Survey.

Introduction: Covid 19 epidemic has affected the people making them undergo emergency procedures requiring intubation. A protective box was innovated at our tertiary care centre to safeguard the HCW during intubation and/or extubation and the study was planned to assess its use and safety among the anaesthesiologists. Methods: A cross sectional, questionnaire base survey was done among anaesthesiologists in various strata of residency. The intubation box was used on the patient for intubation and extubation. The experience of participants was recorded via a Google Form and one response per participant was restricted. Participants were divided into two groups, Group 1(1stand 2nd year junior residents) and Group 2 (Senior resident and 3rd year junior resident). A valid response, was received from 25 anaesthesiologists who were either performing or assisting the intubation. The residents were evaluated based on the ease of use and safety features of the box. Results: There was a significant difference in the time taken to intubate between the two groups (p = 0.048) and it was found that Group 2 with more experience took less time to intubate than Group 1. Also, more respondents in Group 2 found it easier to manoeuvre the hands to handle instruments than Group 1(p = 0.024). Conclusion: We recommend that usage of intubation box during intubation or extubation is a non-harmful and necessary compromise that we must make to protect the /safeguard the well-being of Health Care Worker without affecting patient care in our fight with COVID-19. Supplementary Information: The online version contains supplementary material available at 10.1007/s12070-023-03692-7.

An evaluation of the three-component pubic symphyseal human age estimation method: a CT-based exploration in an Indian population.

Age estimation constitutes an important facet of human identification within forensic, bioarchaeological, repatriation, and humanitarian contexts. Within the human skeletal framework, the pubic symphysis comprises one of the more commonly utilized structures for age estimation. The present investigation was aimed at establishing the applicability of the McKern-Stewart pubic symphyseal age estimation method in males and females of an Indian population, an aspect previously unreported. Three hundred and eighty clinical CT scans of the pubic symphysis were collected and scored in accordance with the McKern-Stewart method. An overall accuracy of 68.90% was obtained on applying the method to males, demonstrating a limited applicability of the method in its primal form. Subsequently, Bayesian analysis was undertaken to enable accurate age estimation from individual components in both sexes. Bayesian parameters obtained with females suggest that McKern-Stewart's components fail to accommodate for age-related changes within the female pubic bone. Improved accuracy percentages and reduced inaccuracy values were obtained with Bayesian analysis in males. With females, the error computations were high. Weighted summary age models were utilized for multivariate age estimation, and furnished inaccuracy values of 11.51 years (males) and 17.92 years (females). Error computations obtained with descriptive analysis, Bayesian analysis, and principal component analysis demonstrate the limited applicability of McKern-Stewart's components in generating accurate age profiles for Indian males and females. The onset and progression of age-related changes within the male and female pubic bone may be of interest to biological anthropologists and anatomists involved in exploring the underlying basis for aging.

Systematic Review of Morphometric Analysis of Anterior Cerebral Artery (ACA) Emphasizing on Its Clinical Implications.

Thorough data of morphometric measurements of arteries forming Circle of Willis (CW) is crucial for radiological and neurosurgical interventions. This systematic review has been conducted with the objective to find an effective range of length and diameter of anterior cerebral artery (ACA) and to observe whether there is any change in the length and diameter of ACA depending on age or sex. Articles based on length and diameter of ACA via any mode of study like cadaveric or radiological were considered in this systematic review. A comprehensive literature search using databases Cochrane Library, PubMed, and Scopus for relevant articles was done. Research papers which answered the focused questions were selected for data analysis. It was observed that the range of length and diameter of ACA were 8.1 mm-21 mm and 0.5 Å-3.4 mm, respectively. In majority of the studies, length and diameter of ACA were more in the younger age group (>40 years); and the length of ACA was more in females whereas the diameter of ACA was more in males. These data will be applicable for better construction and decipherment of angiographic images. This will help in the proper and guided treatment of intracranial pathologies.

Morphological Study of Variations of the Human Cadaveric Liver and Its Clinical Implications.

Introduction With increasing dependence on laparoscopic procedures, precise knowledge of external variations of the liver is essential for good surgical and interventional outcomes, preventing imaging misdiagnosis, and curtailing complications. The present study aims to evaluate the gross anatomical variations of the liver. Materials and Methods The 40 adult cadaveric livers of age 60-80 years were removed during the routine dissection for undergraduate medical students and examined for morphological variations in the form of size, shape, and fissures. Results Accessory fissures were observed on the caudate lobe (CL) in 23 (57.5%), on the quadrate lobe (QL) in seven (17.5%), on the right lobe (RL) in 29 (72.5%), and on the left lobe (LL) in 12 (30%) specimens. Netter's Type 2, Type 4, Type 5, Type 6, and Type 7 liver were observed in four (10%), seven (17.5%), one (2.5%), three (7.5%), and three (7.5%) specimens respectively. The most common shapes of the CL and QL were rectangular in 16 (40%) and quadrangular in 10 (25%) specimens respectively. Pons hepatis were seen in three (7.5%) specimens. The mean length (cm) of RL and LL were 17.75 ±3.09 and 16.9±3.69 respectively, whereas the mean transverse diameter (TD) (cm) of RL and LL were 7.98±1.20 and 7.85±1.58 respectively. The mean length and TD (cm) of CL were 5.62±1.67 and 2.48±1.00 respectively. The mean length and TD (cm) of the QL were 6.00±1.51 and 2.81±0.83 respectively. Conclusion Precise knowledge of these variations would be helpful for surgeons in planning and performing surgical procedures and for anatomists.

Anomalous retrogressive palmaris longus.

An interesting case of unusual unilateral variant of palmaris longus (PL) tendon of forearm was noticed by us. We found two bellies of PL as well as their different insertions. These observations will help in understanding morphological variations of this muscle and its clinical implications. PL is a fusiform muscle in the superficial flexor group of muscles of forearm. It originates from medial epicondyle of humerus by common flexor tendon. We found PL having one origin, i.e., from medial epicondyle from common tendinous origin of flexor muscles and then it divided to form two bellies having two long tendons distally. Understanding of presence or absence or anomalies of PL is not only important for medical professionals but also for evolutionary biologists. Awareness of anatomy and variations of flexor tendons is important for health care practitioners for the correct diagnosis and management of pain, disease, and trauma of forearm and hand.

Résumé Nous avons remarqué un cas intéressant de variante unilatérale inhabituelle du tendon du long palmaire (PL) de l'avant-bras. Nous avons retrouvé deux ventres de PL ainsi que leurs différentes insertions. Ces observations aideront à comprendre les variations morphologiques de ce muscle et ses implications cliniques. Le PL est un muscle fusiforme du groupe des muscles fléchisseurs superficiels de l'avant-bras. Il provient de l'épicondyle médial de l'humérus par le tendon fléchisseur commun. Nous avons trouvé que le PL avait une origine, c'est-à-dire de l'épicondyle médial provenant de l'origine tendineuse commune des muscles fléchisseurs, puis il s'est divisé pour former deux ventres ayant deux longs tendons distalement. Comprendre la présence, l'absence ou les anomalies de PL est non seulement important pour les professionnels de la santé mais également pour les biologistes évolutionnistes. La connaissance de l'anatomie et des variations des tendons fléchisseurs est importante pour les praticiens de la santé afin de diagnostiquer et de gérer correctement la douleur, la maladie et les traumatismes de l'avant-bras et de la main. Mots-clés: Palmaris longus, greffe tendineuse, variation, contracture ischémique de Volkmann.

Applicability of the Calce method for age estimation in an Indian population: A clinical CT-based study.

Age estimation is one of the prerequisites of human identification. Age-progressive changes in the pelvis offer useful evidence for forensic age estimation across all age groups. The acetabulum presents as a durable and taphonomic degradation resistant age marker, and, can be employed for analysing age-progressive changes described by Calce. The present study aimed at determining the applicability of the Calce method for age estimation in an Indian population based on a computed tomographic examination of the acetabulum. Additionally, different morphological features defined by Calce were evaluated to identify the feature which contributes most towards the process of age estimation. CT images obtained from clinically undertaken examinations of individuals aged 17 years and above were scrutinized according to the features defined within the Calce method. No statistically significant bilateral or sex differences were observed. An overall accuracy of 76.66% was observed on applying the Calce method to an Indian population, with lower accuracy percentages for individuals aged 40 years and above. The associated overall inaccuracy and bias were found to be 9.45 and 8.88 years, respectively. Within the various features, acetabular groove was found to contribute most towards the overall accuracy, and apex growth the least. Considering this weighted proportion, population specific models should be derived to render greater applicability to the method for age estimation.

Computed tomographic evaluation of the acetabulum for age estimation in an Indian population using principal component analysis and regression models.

The acetabulum presents as a well-preserved evidence, resistant to taphonomic degradation changes and can thus aid in the age estimation process. A CT-based examination of the acetabulum can further help simplify the process of age estimation by overcoming the time-consuming process of maceration and by doing away with the interference resulting from tissue remnants. The aim of the present study was to evaluate the role of the acetabulum for age estimation in an Indian population through a CT-based examination, using principal component analysis and regression models. CT images of 400 individuals aged 10 years and above were evaluated according to the features defined in the San-Millán-Rissech method of age estimation. Five of the seven morphological features defined by San-Millán-Rissech were appreciable on CT scans, and, to enable further statistical analysis, a cumulative score was computed using these five features. A significant correlation of 0.835 and 0.830 for the right and left acetabulum, respectively, was obtained between computed cumulative scores and chronological age of individuals. No significant sex differences were observed in the scoring of different age-related morphological changes. Regression models were generated using individual features and cumulative scores. Regression models derived using the cumulative score yielded inaccuracy values of 9.67 years for the right acetabulum and 9.15 years for the left acetabulum. Inaccuracy and bias values were computed for each individual feature, as well as for each decade, using mean point ages established within the original study. Amongst the various features, acetabular rim porosity was seen to have the lowest values of inaccuracy (11.50 years) and bias (2.32 years) and activity on outer edge of acetabular fossa the highest (inaccuracy and bias values of 22.36 years and 21.50 years, respectively). Taking into consideration this differential contribution towards age estimation, weighted coefficients and mean point ages for different morphological features were determined using principal component analysis. Subsequently, summary age models were generated from the obtained weighted coefficients and mean age values. Summary age models derived in the present study yield lower estimates of inaccuracy of 7.60 years for the right acetabulum and 7.82 years for the left acetabulum. While regression models derived in the present study allow for age estimation using even a single appreciable feature, summary age models take into account the contribution of each feature and generate more accurate estimates of age. Both statistical computations yield reduced error rates and thus can render greater applicability to the acetabulum in forensic age estimation.

Development and validation of a novel core set of KASP markers for the traits improving grain yield and adaptability of rice under direct-seeded cultivation conditions.

The development and utilization of molecular-markers play an important role in genomics-assisted breeding during pyramiding of valuable genes. The aim of present study was to develop and validate a novel core-set of KASP (Kompetitive Allele-Specific PCR) markers associated with traits improving rice grain yield and adaptability under direct-seeded cultivation conditions. The 110 phenotypically validated KASP assays out of 171 designed KASP, include assays for biotic-resistance genes, anaerobic germination, root-traits, grain yield, lodging resistance and early-uniform emergence. The KASP assays were validated for their robustness and reliability at five different levels using diverse germplasm, segregating and advanced population, comparison with SSR markers and on F1s. The present research work will provide (i) breeding material in form of anticipated pre-direct-seeded adapted rice varieties (ii) single improved breeding line with many useful genes and (iii) KASP assay information for the useful QTL/genes providing grain yield and adaptability to rice under direct-seeded cultivation conditions.

CT-based evaluation of the acetabulum for age estimation in an Indian population.

Age estimation constitutes an important aspect of forensic research, investigation and human identification. For the purpose of age estimation, various markers within the skeletal framework are employed. Degenerative morphological changes in the skeleton can be used for age estimation in adults. Amongst the various bones, age-progressive changes in the innominate bone are of particular significance in age estimation. Within the pelvis, the acetabulum presents as a durable and well-preserved evidence, characteristic manifestations of which can be employed for age estimation. The present study aimed at a CT-based evaluation of acetabular changes for the purpose of age estimation in an Indian population. CT images of 250 individuals aged 10-88 years were scrutinized according to the features defined in the Calce method of acetabular age estimation. Scores were allotted to the various features and a cumulative score was calculated. No significant bilateral and sex differences were observed. Significant correlation was obtained between the scores for these defined characteristics and the chronological age of individuals. Population-specific regression models were generated for age estimation. The scoring method devised in the present research requires further validation as it represents a new tool for age estimation in medico-legal cases.