The aim of this study was to investigate the effect of different percentage of seminal plasma proteins with different molecular weight on sperm motility and fertility parameters (farrowing rate (FR), number of live-born pigs (PBA) per litter and percentage of unsuccessful insemination). A total of 50 sperm-rich ejaculate fractions were collected (one per boar) using the gloved hand method. The quality parameters of the semen samples were first evaluated at the farm. Further assessment of sperm quality was performed on a CASA - computer assisted semen analysis by two competent operators. Seminal plasma protein fractions were obtained by AOAC - Association of Official Analytical Chemists as a chemical method. The assessment of reproductive performance was carried out based on collected data of three parameters in selected 9696 sows: FR, PBA per litter and percentage of unsuccessful insemination. Protein fractions were divided in to three groups (10 – 20kDa, 21 – 30kDa and 31 – 40kDa) Proteins with 10 – 20kDa did not have significant effect and correlation with analyzed parameters. Significant differences were recorded in farrowing rate between samples with up to 80 % compared to samples with 10% of proteins with 21 – 30kDa. Significant differences were recorded in unsuccessful insemination between samples with different percentage of proteins with 31 – 40kDa. Results of this study have shown the effect of different percentage of certain fraction of seminal plasma proteins on boar ejaculates fertility potential. Key words: boars; semen quality; seminal plasma proteins; reproductive results VPLIV VSEBNOSTI BELJAKOVIN SEMENSKE PLAZME RAZLICNIH MOLEKULARNIH TEŽ NA NEKATERE PARAMETRE PLODNOSTI V EJAKULATIH MERJASCEV Povzetek: Cilj opisane raziskave je bil prouciti vpliv prisotnosti beljakovin semenske plazme z razlicno molekulsko maso na gibljivost semencic in parametre plodnosti kot so: stopnja prasitev, stevilo živorojenih prasicev na leglo in odstotek neuspesnih osemenitev. Po metodi z orokaviceno roko je bilo zbranih 50 frakcij ejakulata, bogatih s semencicami (1 na merjasca). Na kmetiji smo najprej ocenili parametre kakovosti vzorcev semena. Nadaljnja ocena kakovosti semencic je bila izvedena z racunalnisko podprto analizo semena (CASA), ki sta jo izvedla dva usposobljena operaterja. Semenske frakcije beljakovin v plazmi so bile pridobljene s pomocjo AOAC - metode. Ocena reproduktivne ucinkovitosti je bila izvedena na podlagi zbranih podatkov treh parametrov pri izbranih 9696 svinjah. Proteinske frakcije so bile razdeljene v tri skupine (10 – 20 kDa, 21 – 30 kDa in 31 – 40 kDa). Beljakovine velikosti 10 - 20 kDa niso imele znacilnega ucinka in soodvisnosti z analiziranimi parametri. Ugotovili pa smo statisticno znacilne razlike v stopnji prasitve med vzorci z do 80 % beljakovin velikosti 21 - 30kDa v primerjavi z vzorci s samo 10 % beljakovin velikosti 21 - 30kDa. Statisticno znacilne razlike so bile ugotovljene tudi pri uspesnosti osemenitev med vzorci z razlicnim odstotkom beljakovin velikosti 31 - 40kDa. Rezultati te studije kažejo vpliv razlicnega odstotka dolocenega deleža beljakovin iz semenske plazme na potencial plodnosti merjascev. Kljucne besede: merjasci; kakovost semena; semenske beljakovine v plazmi; reprodukcijski rezultati

Having a reliable, inexpensive and simple method to estimate 18 years of age would be of help in the forensic field. This study aimed to test the accuracy of the third molar maturity index (I3M) in indicating the legal adult age of 18 years. This retrospective cross-sectional study analysed 450 digital panoramic images of Eastern Chinese children and young adults (226 females and 224 males) aged between 14 and 22 years. A cut-off value of I3M < 0.08 was tested in discriminating adults from minors for both sex. For females, the sensitivity of the test (Se) was 75.0%, with a 95% confidence interval (95%CI) of 67.5% to 82.5%. The specificity of the test (Sp) was 100%. The proportion accurately classified (Ac) individuals was 85.8% (95%CI, 81.3% to 90.4%). The Bayes post-test probability was 100% (93.6% to 100%). For males, Se, Sp and Ac were 91.9% (95%CI, 87.1% to 96.7%), 92.0%(95%CI, 86.7% to 97.3%) and 92% (95%CI, 88.4% to 95.5%), respectively. The Bayes post-test probabilities was 92% (95%CI, 88.4% to 95.5%). Males were ahead in the development of third molars comparing to females according to I3M. A stepwise logistic regression analysis showed that both I3M and sex contribute to the regression model to discriminate adults (≥18 years) from minors (<18 years), while a receiver operating curve (ROC) analysis indicated some better accuracy of I3M < 0.12 in females, without statistically significant difference when compared to I3M < 0.08. The results of this study show that the cut-off value of I3M < 0.08 may help to discriminate Eastern Chinese adults from minors. However, further study should evaluate the usefulness and possible variability of I3M cut-off value in a specific population before used for legal and forensic procedures.

Age estimation in living individuals has attained importance in forensic sciences from legal proceedings and has been a frequent request from concerned authorities to ascertain whether the person in question has reached the age of imputability and legal responsibility. The purpose of age estimation is not just limited to juvenile or sub-adult delinquents but also required in situations like a violation of child rights such as child employment, commercial sexual exploitation involving minor girls. Indian Law strictly forbids any employment of the children under the age of 14 and sexual exploitation of minor girls (<18 years). In this study, we assessed the skeletal and dental ages and correlate to reported chronological ages in a sample of 85 male child labourers and 31 female commercial sex workers. Statistical analysis of the results was performed to verify the similarities or differences between reported and biological age. The results had revealed a statistically significant difference between the reported age, skeletal, dental, and calculated biologic age (p < 0.05). The results indicate the need to establish a more reliable method for determining the biological age in an age-specific population.

Identifying the gender of a person is one of the fundamental tasks in forensic medicine. One possible application is right after a catastrophic event such as a mass disaster with a high victim count. In such cases it is necessary to identify the people involved which can require a high number of forensic experts, depending on the scale of the event. With panoramic dental x-ray images the biological gender of a person can be estimated by analyzing skeletal structures that express sexual dimorphism. Current methods require the manual measurement of a wide array of mandibular parameters which are then manually compared to references based on these measurements and assumed ethnicity of the people involved. We propose an automated solution based on deep learning techniques using convolutional neural networks. Our data consists of 4000 panoramic dental x-ray images of patients with European origin, with the images being taken by a wide range of orthopantomographs. Our automated method can estimate 64 images per second on contemporary hardware, it doesn't require human intervention for estimation and it achieves state-of-the-art results with an accuracy of 96.87% ± 0.96%.

OBJECTIVE To compare and analyse the accuracy of four age estimation methods using the mineralisation stages of the permanent teeth (Cameriere et al. [16] [CAM], Liliequist and Lundberg [LLH] and Nolla without third molars [NOL7] or with them [NOL8]) in a mixed population of Brazilians and a homogeneous population of Croatians. METHODS Orthopantomograms of 930 Brazilians (366 males and 564 females) and 924 Croatians (365 males and 556 females) aged between 8 and 14.99 years were analysed using the CAM, LLH, NOL7 and NOL8 age estimation methodologies. RESULTS LLH presented the best absolute differences (ADs) among both populations without sex stratification, while CAM presented the worst results. In addition, the mean differences revealed underestimations, except when the LLH and NOL7 methods were used for the Brazilians. When the sample was stratified by sex, the best AD values were found with NOL7 (0.80) for the Brazilians and with LLH (0.98) for the Croatians. When the sample was stratified by sex and age, CAM presented high accuracy at the early ages, and LLH presented high accuracy at the older ages. The results obtained with the Nolla methods (NOL7 and NOL8) were mostly similar, but NOL7 yielded slightly better results. CONCLUSIONS The values for the Brazilians and the Croatians were relatively similar, and the techniques were properly applied in both population samples. The best method for evaluating both countries was LLH, followed by NOL7, NOL8 and CAM.

Providing appropriate legal mechanisms, that evaluate the progression of development from the age of childhood innocence to maturity and full responsibility, considered one of the difficult areas of criminal justice policy. The minimum age of criminal responsibility (MACR) in children varies among countries and differs widely owing to history and culture. Due to rising and brutality of criminal offenses, particularly by juveniles, few countries have lowered the minimum age of criminal responsibility, and many have considered/considering to do the same. India is one such country in which is under the proposal of lowering the age of criminal responsibility to 16 years. As there is lack of useful age assessment methods, that can indicate whether if the individual in question is younger (<16 years) or older than MACR (≥16 years), the present study was undertaken to derive a specific cut-off value of the third molar maturity index (I3M) for this purpose. The sample consisted of 1078 orthopantomograms (OPTs) from Andhra Pradesh, India, aged between 11 and 20 years (45.4% males and 54.6% females). The reproducibility of I3M was calculated by intra-class correlation coefficients, which showed an intra-rater and inter-rater agreement of 0.912 and 0.891, respectively. The sample was divided into training dataset (819 OPTs), to test I3M and gender as independent variables and MACR as a dependent variable by logistic regression analysis, and test dataset (259 OPTs). A receiver operating curve (ROC) analysis was performed to evaluate the specific cut-off value of I3M for predicting MACR status. A logistic regression analysis showed that gender was not statistically significant for predicting MACR status while ROC analysis indicated a cut-off value of I3M = 0.293 as best for predicting MACR status. The performance of derived cut-off value was tested in a test data set. The sensitivity of the test was 90.6% and 90%, while specificity was 86% and 87.1% in males and females, respectively. The proportion of correctly classified individuals was 88.0% and 88.7% in males and females, respectively. The estimated Bayes post-test probability in males was 87.2% and while in females it was 88.3%. The results highlight the contribution of the derived cut-off value of I3M for discriminating individuals around MACR and should be evaluated in other populations.

PURPOSE To assess the associations and predictive value of spectral-domain (SD) OCT inner and outer retinal structural parameters and visual acuity (VA) outcomes in macular edema (ME) secondary to central retinal vein occlusion (CRVO). DESIGN Retrospective, longitudinal cohort study. PARTICIPANTS Eighty-four patients with ME secondary to CRVO receiving pro re nata anti-vascular endothelial growth factor (VEGF) therapy at 3 tertiary-level retina referral centers. METHODS In all participants, VA, demographic and clinical parameters, and SD OCT images from baseline, 3 months, and 12 months were reviewed. Spectral-domain OCT-based morphologic features in the 1500-μm foveal zone were analyzed by masked graders for disorganization of the retinal inner layers (DRIL), ellipsoid zone (EZ) and external limiting membrane disruption, cone outer segment tip (COST) visibility, cysts, subretinal and intraretinal fluid, and epiretinal membranes. MAIN OUTCOME MEASURES Spectral-domain OCT-based retinal structural parameters and VA outcomes. RESULTS In multivariate analyses adjusting for baseline VA, worsening VA over 1 year was associated with 1-year increases in DRIL (point estimate, 0.06 per 100 μm; P < 0.001) and EZ disruption (0.07 per 100 μm; P = 0.023), but decreased COST visibility (-0.09 per 100 μm; P = 0.018). A 3-month increase in DRIL (0.05 per 100 μm; P = 0.003) and EZ disruption (0.10 per 100 μm; P < 0.001) were the only factors predicting VA worsening over 1 year, after controlling for baseline VA. A multivariate model including 3-month evolution in DRIL, EZ disruption, and VA accounted for 86.3% of variability in 1-year VA change. Absolute differences between predicted and actual 1-year VA were within 2 lines in 80.9%. When DRIL increased by 250 μm or more over 3 months, no eyes showed VA improvement of 1 line or more in 1 year. When EZ disruption decreased by 250 μm or more over 3 months, no eyes worsened by 1 line or more over 1 year. CONCLUSIONS Early recovery over 3 months in both DRIL and EZ parameters are key drivers of 1-year VA outcomes. Predictive models incorporating 3-month changes in DRIL and EZ disruption support their usefulness as potential robust determinants of future VA.

The estimation of age in living subjects is today a significant issue because of the increase in the situations in which it arises and its legal consequences. In line with the Study Group on Forensic Age Diagnostics of the German Association of Legal Medicine's recommendations, it is based on the concomitant use of physical examination and methods for estimating bone age and dental age. Given the variations between the populations, the use of the latter requires their validation on all the ethnic groups on which they can be used. This aim of this study was to access the interest of the Cameriere's third molar maturity index (I3M) to indicate if an individual had reached the age of 18 in a sample of individuals from southeastern France. The studied sample consisted of OPTs 339 (184 females and 155 males) subjects aged between 14 and 22 years old. A logistic regression analysis with the adult age and minor age as dichotomous dependent variable and gender and I3M as predictor variables showed that gender was not statistically significant in discriminating adults and minors. The receiver operating curve (ROC) analysis showed the best discrimination performance of the specific cut-off value of I3M<0.08 in discriminating adults from minors. The proportion of accurate classification was 0.897 and 0.916 for females and males, respectively. The specificity (Sp) and sensitivity (Se) results for females were 0.962 and 0.813, respectively. Sp and Se for males were 0.953 and 0.871, respectively. The Bayes post-test probability was 0.961 and 0.955 in females and males respectively. Obtained results showed that a cut-off value of I3M<0.08 may be an additional tool for indicating adult age in the tested population.

The aims of the present study were to validate the discriminatory potential of Cameriere's third molar maturity index (I3M) cut-off value of I3M < 1.1 and whether closed apices of permanent second mandibular molar (I2M = 0.0) and I3M < 1.1 indicate the legal age of 14 years and older. A digital orthopantomograms of 804 healthy South Indian children, aged between 10 and 18 years, were collected retrospectively, and mineralization of the third and second left mandibular molars was analyzed by Cameriere's method. The proportion of accurately classified (Ac) individuals using the cut-off value of I3M < 1.1 was 79.4% for males, with Bayes post-test probability (Bayes PTP) of 68.8%. For females, Ac was 79.9% and Bayes PTP was 70.9%. The sensitivity was 94.8% and 98.2% for males and females, and the specificity was 58.7% and 62.8%, respectively. The combination of both variables, I3M < 1.1 and I2M  = 0.0, increased the Ac to 87.2% and 94.4% in males and females, the specificity to 98.6% and 99.2%, and Bayes PTP to 98.2% and 94.4%, respectively. In conclusion, the suggested cut-off value of I3M < 1.1 is of moderate accuracy in discriminating individuals between 14 years or older from those under 14 years in the studied population. A combination of both variables, I2M = 0.0 and I3M < 1.1, the discriminating test achieves an excellent specificity and Bayes PTP, which is mandatory for the forensic and medicolegal purposes.

This study aimed to assess the application of Cameriere's third molar maturity index (I3M) to select an individual of 18years or older (adult) from younger than 18years (minor) in a sample of Polish individuals. The final sample of 982 panoramic images aged between 15 to 24years was analyzed. The specific cut-off value of I3M<0.08 was analyzed. The specificity (Sp) and sensitivity (Se) for males were 91.2% and 86.2% respectively. The Sp and Se for females were 93% and 82.6% respectively. The probabilities of correctly classified individuals were 87.6% and 85.3%, and Bayes post-test probability was 96.3% and 97% in males and females respectively. Further analysis indicated the alternative cut-off value of I3M<0.07, which improved the specificity, 95.3%, and 94.7%, and worsen correct classification, 86.5%, and 84.4%, in males and females, respectively. Our results showed that the specific cut-off point of I3M<0.08 may be a useful tool for discriminating adults from minors in Poland.