Cost benefit analysis of automatic lameness detection systems in dairy herds: A dynamic programming approach

Lameness in cattle is a health issue where gait is modified to minimise pain. Cattle are currently visually assessed for locomotion score, which provides the degree of lameness for individual animals. This subjective method is costly in terms of labour, and its level of accuracy and ability to detect small changes in locomotion that is critical for early detection of lameness and associated intervention. Current automatic lameness detection systems found in literature have not yet met the ultimate goal of widespread commercial adoption. We present a sensor configuration to record cattle kinematics towards automatic lameness detection. This configuration features four Time of Flight sensors to view cattle from above and from one side as they exit an automatic rotary milking dairy. Two dimensional near infrared images sampled from 223 cows passing through the system were used to train a Faster R-CNN to detect hooves (F1-score = 0.90) and carpal/tarsal joints (Fl-score = 0.85). The depth images were used to project these detected key points into Cartesian space where they were tracked to obtain individual trajectories per limb. The results show that kinematic gait features can be successfully obtained as a first and important step towards objective, accurate, automatic lameness detection.

ethics committees (ECs) protect the rights, safety, and well-being of research participants and ensure the scientific correctness of clinical research. COVID-19 pandemic and the lockdown from 9 March to 16 May 2020 have potentially influenced several activities, including ECs. to assess the impact of COVID-19 outbreak on Italian ECs and their performance during the lockdown. cross-sectional survey. the survey was conducted in mid-June 2020 in Italy contacting all the 90 local ECs. amount and kind of activities performed during the lockdown, characteristics of submitted studies and adoption of standard protocols of evaluation of research applications during the pandemic. Chi-square test was used to estimate the differences between territories with higher incidence (HI) and lower incidence (LI) of COVID-19. 258 questionnaires were collected from 46 ECs that participated in the study. Ten were excluded due to missing substantial data. Responses were divided into two groups according to location of EC: the HI (125 responses) and the LI (123 responses). Seventy-five percent of the HI describe an increase in the number of studies submitted, while 53% of the LI does not (p=0.001). Due to the pandemic and its effects on research, the 15% of participants belonging to HI territories reported that consideration and respect of research-related and general ethical principles could have decreased, as well the adoption of standard protocols of evaluation of research applications. EC secretariats located in HI Regions moved to smart working more than in LI ones (75% vs 59%; p=0.001). Where the EC workload increased significantly, it was reported that it was impossible to perform an accurate analysis of the submitted documentation, with the effect of providing a favorable opinion to studies of not excellent quality, though always ensuring the respect of ethical principles and patients' safety. COVID-19 impact on ECs has been heavier in HI territories, but smart working has been effective in ensuring EC activities and the subsequent activation of clinical studies potentially useful to face the pandemic. Clear differences arise between ECs belonging to the Italian Regions that have recorded a HI of COVID-19 cases compared to those located in Regions with a LI of cases. In some EC members' perception, the high number of studies in the most affected Regions together with the emergency experienced during the lockdown may have exposed ECs to the risk of decreasing the adoption of ethical principles and standard protocols of evaluation of research applications.

Automatic lameness detection based on consecutive 3D-video recordings

In Galicia, Spain, a dramatic increase in the incidence of meningococcal disease was seen in the 1995-6. The annual incidence rose to 11 per 10(5) inhabitants, and 80% of identified strains were C:2b:P1.2,5. This led to the implementation of an intensive A+C vaccination campaign for the population aged 18 months to 19 years. During this campaign the prevalence of carriage in areas with high and low incidence was studied. Nasopharyngeal swabs were taken from 9796 subjects immediately before the administration of meningococcal vaccine, plated onto Thayer-Martin plates, incubated and sent for analysis to the Reference Laboratory for Neisseria in Spain. The prevalence of the C:2b: P1.2,5 strains was 0.6% (95% CI 0.29-0.88) in the high incidence area, and 0.41% (95 % CI 0.00-1.04) in the low incidence area, and that of serogroup C (all strains) 1.36% (95% CI 0.80-1.80) and 0.89% (95% CI 0.09-1.69) respectively. The prevalence of N. meningitidis (all strains) was almost the same in both areas (8%). Carriers of the epidemic strain were not found in the 2-4 year age group, that most affected by the disease. Our data showed a wide distribution but a low carriage rate of the epidemic strain C:2b:P1.2,5 in the high and low disease incidence areas studied; the difference in the carriage rates between the two areas was not statistically significant.

250 Evidence for race/ethnic incidence rate disparity in mycosis fungoides: A report from the NCI surveillance, epidemiology, and end results (SEER) program

OBJECTIVE To describe the incidence of specific causes of lameness and the associations of cause and severity of lameness on the outcome for cattle on commercial feedlots. DESIGN Dynamic population longitudinal study. ANIMALS Cattle on 6 commercial feedlots in Kansas and Nebraska during a 12-month period (mean daily population, 243,602 cattle; range, 223,544 to 252,825 cattle). PROCEDURES Feedlot personnel were trained to use a standardized diagnostic algorithm and locomotion score (LMS) system to identify and classify cattle by cause and severity of lameness. Information regarding lameness cause, severity, and treatments was recorded for individual cattle. Cattle were monitored until they left the feedlot (ie, outcome; shipped with pen mates [shipped], culled prematurely because of lameness [realized], or euthanized or died [died]). Incidence rates for various causes of lameness, LMSs, and outcomes were calculated. The respective associations of cause of lameness and LMS with outcome were evaluated. RESULTS Lameness was identified in 2,532 cattle, resulting in an overall lameness incidence rate of 1.04 cases/100 animal-years. Realized and mortality rates were 0.096 cattle/100 animal-years and 0.397 deaths/100 animal-years, respectively. Injury to the proximal portion of a limb was the most frequently identified cause of lameness followed by undefined lameness, septic joint or deep digital sepsis, and interdigital phlegmon (foot rot). As the LMS (lameness severity) at lameness detection increased, the percentage of cattle that died but not the percentage of cattle that were realized increased. CONCLUSIONS AND CLINICAL RELEVANCE Results provided clinically useful prognostic guidelines for management of lame feedlot cattle.

We sought to characterize recent prostate cancer incidence, distant stage diagnosis, and mortality rates by region, race/ethnicity, and age group. In SEER*Stat, we examined age-specific and age-adjusted prostate cancer incidence, distant stage diagnosis, and mortality rates by race/ethnicity, census region, and age group. Incidence and mortality analyses included men diagnosed with (n = 723,269) and dying of (n = 112,116) prostate cancer between 2012 and 2015. Non-Hispanic black (NHB) and non-Hispanic Asian/Pacific Islander (NHAPI) men had the highest and lowest rates, respectively, for each indicator across regions and age groups. Hispanic men had lower incidence and mortality rates than non-Hispanic white (NHW) men in all regions except the Northeast where they had higher incidence [RR, 1.16; 95% confidence interval (CI), 1.14-1.19] and similar mortality. Hispanics had higher distant stage rates in the Northeast (RR, 1.18; 95% CI, 1.08-1.28) and South (RR, 1.22; 95% CI, 1.15-1.30), but similar rates in other regions. Non-Hispanic American Indian/Alaskan Native (NHAIAN) men had higher distant stage rates than NHWs in the West (RR, 1.38; 95% CI, 1.15-1.65). NHBs and Hispanics had higher distant stage rates than NHWs among those aged 55 to 69 years (RR, 2.91; 95% CI, 2.81-3.02 and 1.24; 95% CI, 1.18-1.31, respectively), despite lower overall incidence for Hispanics in this age group. For Hispanic and NHAIAN men, prostate cancer indicators varied by region, while NHB and NHAPI men consistently had the highest and lowest rates, respectively, across regions. Regional and age group differences in prostate cancer indicators between populations may improve understanding of prostate cancer risk and help inform screening decisions.

Investigations on two experimental farms with group-housing revealed that lameness occurred mainly at the hind legs of sows, with a higher incidence in first parity sows. The highest incidence of lameness was seen during the first 2 months of gestation and the highest prevalence in the last 2 months of gestation. No relation could be established between lameness of a sow in the last month of gestation and reproduction results. The incidence of claw lesions increased too, during the group-housing during pregnancy and was higher compared to sows kept in crates. This increase was clearest in first parity sows. In addition the observations suggest a pattern in the course of development of lesions. Claw lesions mainly occur on the outer claws of a sow. For two types of lesions left-right symmetry has been established for both the hind and the front legs. On the level of the individual animal there was no relation between the incidence of claw lesions and lameness.

This research is about the development of a dynamic programming model for solving fuzzy linear programming problems. Initially, fuzzy dynamic linear programming model FDLP is developed. This research revises the established dynamic programming model for solving linear programming problems in a crisp environment. The mentioned approach is upgraded to address the problem in an uncertain environment. Dynamic programming model can either be passing forward or backward. In the proposed approach backward dynamic programming approach is adopted to address the problem. It is then followed by implementing the proposed method on the education system of Pakistan. The education system of Pakistan comprises of the Primary, Middle, Secondary, and Tertiary education stages. The problem is to maximize the efficiency of the education system while achieving the targets with minimum usage of the constrained resources. Likewise the model tries to maximize the enrollment in the Primary, Middle, Secondary and Tertiary educational categories, subject to the total available resources in a fuzzy uncertain environment. The solution proposes that the enrollment can be increased by an amount 9997130, by increasing the enrollment in the Middle and Tertiary educational categories. Thus the proposed method contributes to increase the objective function value by 30%. Moreover, the proposed solutions violate none of the constraints. In other words, the problem of resources allocation in education system is efficiently managed to increase efficiency while remaining in the available constrained resources. The motivation behind using the dynamic programming methodology is that it always possesses a numerical solution, unlike the other approaches having no solution at certain times. The proposed fuzzy model takes into account uncertainty in the linear programming modeling process and is more robust, flexible and practicable.

A Longitudinal Field Trial of the Effect of Biotin on Lameness in Dairy Cows

We present the data of the Cancer Registry of French Polynesia (FP) for the 1990-1995 period, highlighting the difference between the incidences among inhabitants born in FP and in immigrants. A total of 1606 incident cases of cancer were registered during the 6-year period from 1990 to 1995, about 90% of which were histologically confirmed. Among these incident cases, 1361 occurred in native French Polynesians (FPs) and 245 in immigrants. Overall cancer incidence was found to be very slightly higher among women in the native population (209/10(5)) than among immigrants (191/10(5)), and lower among men in the native population (186/10(5)) than in the immigrants (241/10(5)). Cervix, corpus uteri, and thyroid cancer incidence rates were higher among women born in FP than among immigrant women. In contrast, colorectal cancer and melanoma incidences rates were lower, and colorectal cancer was similar. Laryngeal cancer incidence was higher among men born in FP than among immigrant men. In contrast, cancers of the oral cavity, colon and rectum, prostate gland, bladder and melanoma were less frequent. This first report, based on the data from the Cancer Registry of French Polynesia, shows high cancer incidence rates in females and low incidence in males born in FP, as compared to those recorded in France; and low cancer incidence rates, as compared to New Zealand Maoris and Hawaiians. For certain cancers, for example colorectal cancer, the incidence in the immigrant population seems to be between that of the native FP population and that of the population living in France, and lower than in New Zealand Maoris and Hawaiians.

The effect of feeding a diet that produces a high or low incidence of diabetes on immune abnormalities proposed to contribute to the pathogenesis of autoimmune-mediated diabetes was investigated. Diabetes-prone (BBdp) and nondiabetes-prone (BBn) BB rats (21 d) were fed for 21 d a nonpurified (high incidence) or purified (low diabetes incidence) diet. Compared with BBn, immune cells from spleen and mesenteric lymph nodes of BBdp rats demonstrated higher rates of metabolite production from glucose and glutamine, higher splenic cytotoxicity (lysis of 51Cr-labeled YAC-1 cells) and lower mitogen responses (3H thymidine uptake). Bypassing the membrane, using the mitogen phorbol myristate acetate + lonomycin, improved the BBdp mitogen response, suggesting a membrane defect. Immune cells from BBdp rats fed the purified, compared with the nonpurified, diet had lower rates of glutamine (spleen) and glucose (lymph nodes) metabolism and lower splenic cytotoxic activity. Although diet altered the proportion of T and B cells in lymph nodes of BBdp rats, it did not correct the abnormal lymphocyte distribution or effect mitogen responses. Feeding the purified, compared with nonpurified, diet to BBn rats altered energy metabolism by lymph node cells and resulted in lower splenic cytotoxic activity. Reduced splenic natural killer cell activity and decreased immune cell metabolism are unlikely the mechanism for the preventative effect of feeding a purified diet to BBdp rats but are indicative of reduced immune activity.

After COVID-19 vaccines received approval, vaccination campaigns were launched worldwide. Initially, these were characterized by a shortage of vaccine supply, and specific risk groups were prioritized. Once supply was guaranteed and vaccination coverage saturated, the focus shifted from risk groups to anti-vaxxers, the under-aged population, and regions of low coverage. At the same time, hopes to reach herd immunity by vaccination campaigns were put into perspective by the emergence and spread of more contagious and aggressive viral variants. Particularly, concerns were raised that not all vaccines protect against the new-emerging variants. The objective of this study is to introduce a predictive model to quantify the effect of vaccination campaigns on the spread of SARS-CoV-2 viral variants. The predictive model introduced here is a comprehensive extension of the one underlying the pandemic preparedness tool CovidSim 2.0 (http://covidsim.eu/). The model is age and spatially stratified, incorporates a finite (but arbitrary) number of different viral variants, and incorporates different vaccine products. The vaccines are allowed to differ in their vaccination schedule, vaccination rates, the onset of vaccination campaigns, and their effectiveness. These factors are also age and/or location dependent. Moreover, the effectiveness and the immunizing effect of vaccines are assumed to depend on the interaction of a given vaccine and viral variant. Importantly, vaccines are not assumed to immunize perfectly. Individuals can be immunized completely, only partially, or fail to be immunized against one or many viral variants. Not all individuals in the population are vaccinable. The model is formulated as a high-dimensional system of differential equations, which is implemented efficiently in the programming language Julia. As an example, the model was parameterized to reflect the epidemic situation in Germany until November 2021 and future dynamics of the epidemic under different interventions were predicted. In particular, without tightening contact reductions, a strong epidemic wave is predicted during December 2021 and January 2022. Provided the dynamics of the epidemic in Germany, in late 2021 administration of full-dose vaccination to all eligible individuals (e.g. by mandatory vaccination) would be too late to have a strong effect on reducing the number of infections in the fourth wave in Germany. However, it would reduce mortality. An emergency brake, i.e., an incidence-based stepwise lockdown, would be efficient to reduce the number of infections and mortality. Furthermore, to specifically account for mobility between regions, the model was applied to two German provinces of particular interest: Saxony, which currently has the lowest vaccine rollout in Germany and high incidence, and Schleswig-Holstein, which has high vaccine rollout and low incidence. A highly sophisticated and flexible but easy-to-parameterize model for the ongoing COVID-19 pandemic is introduced. The model is capable of providing useful predictions for the COVID-19 pandemic, and hence provides a relevant tool for epidemic decision-making. The model can be adjusted to any country, and the predictions can be used to derive the demand for hospital or ICU capacities.

Human prostate carcinogenesis has been viewed as a multi-step process involving progression from low histologic grade, small, latent carcinoma to large, higher grade, metastasizing carcinoma. However, recent data suggest that a variety of pathogenetic pathways may exist. The precise etiology and pathogenesis of human prostate cancer remain largely undefined. It is difficult to investigate stages in the development of human prostate cancer, but some animal models provide opportunities in this regard. Short-term treatment of rats with chemical carcinogens produces a low incidence (5-15%) of prostate cancer, provided that prostatic cell proliferation is enhanced during carcinogen exposure. Chronic treatment with testosterone also produces a low prostate carcinoma incidence. A high carcinoma incidence can only be produced by chronic treatment with testosterone following administration of carcinogens such as N-methyl-N-nitrosourea (MNU) and 3,2'-dimethyl-4-aminobiphenyl (DMAB). Testosterone markedly enhances prostate carcinogenesis even at doses that do not measurably increase circulating testosterone. Thus, testosterone is a strong tumor promoter for the rat prostate. All such MNU- or DMAB-initiated and/or testosterone-promoted tumors are adenocarcinomas; most originate from the dorsolateral and anterior, but not ventral, prostate lobes. These tumors share a number of important characteristics with human prostate cancer. A high frequency (70%) of activation of the K-ras gene by a G35 to A mutation occurs in these carcinomas. Another high incidence prostate carcinogenesis model, representing a different pathogenetic pathway, involves chronic administration of estradiol-17 beta to rats in combination with low-dose testosterone. The resulting carcinomas are low-grade and originate exclusively from periurethral ducts of the dorsolateral and anterior prostate. While it is unknown whether testosterone is a tumor promoter in this system, preliminary studies indicate the formation of a DNA adduct in the target tissue, which suggests that estradiol-17 beta acts as a tumor initiating agent in this system. The high incidence models mentioned earlier are adequate for the study of chemoprevention of prostatic carcinogenesis. Analysis of shifts in the relative incidence of metastasizing carcinoma, grossly apparent but not-metastasizing carcinoma, microscopic-size carcinoma, and carcinoma in situ or atypical hyperplasia may allow study of the modifying effects of potential chemopreventive agents on tumor progression in these animal models of prostatic carcinogenesis.

Hoof horn lesions are recurrent in nature and cause long-term pathological challenges to the functional anatomy of the hoof in dairy cattle. It is hypothesized that inflammation is a driver of these pathological changes. It has previously been identified that routine treatment with nonsteroidal anti-inflammatory drugs (NSAID) at first and subsequent calving and lameness events is important in reducing the future risk of lameness in dairy heifers. The effects NSAID administration has on lameness outcomes for multiparous dairy cattle is unknown. We conducted a 34-mo randomized controlled trial to investigate the effects of routine administration of the NSAID ketoprofen during treatment for lameness and at calving on the future probability of lameness and culling caused by exposure to normal farm conditions. Dairy cattle that had calved at least once were recruited from a single herd and randomly allocated to 1 of 4 treatments controlling for parity, proportion of occasions scored as lame 8 wk before study onset, and DIM. All lactating animals were scored for lameness every 2 wk to identify lame animals requiring treatment. Animals in group 1 received a therapeutic trim and an orthopedic hoof block (if deemed necessary) every time they were treated for lameness. Animals in group 2 received a 3-d course of ketoprofen (single dose daily) alongside the same treatment given in group 1 every time they were treated for lameness. Animals in group 3 received a 3-d course of ketoprofen (single dose daily) starting 24 to 36 h after each calving alongside the same treatment given in group 2 for lameness. Animals in group 4 received a 3-d course of ketoprofen (single dose daily) every time they were identified with lameness, with no therapeutic trim, unless they were identified as severely lame (a single score ≥3a). Animals were followed for the 34-mo duration of the study. Independent lameness outcome scores were collected every 2 wk by technicians who were blinded to treatment group to assess the probability of lameness. Culling data were extracted from farm records. A total of 425 animals were recruited to the study (105 in group 1, 107 in group 2, 107 in group 3, and 106 in group 4), with data from 412 animals included in the final analysis (102 in group 1, 102 in group 2, 106 in group 3, and 102 in group 4). The effect of treatment group on the ongoing probability of lameness was evaluated through the use of mixed effect logistic regression models. Compared with animals in group 1, animals in group 4 were significantly more likely to be identified as lame throughout the study period. No effect on the risk of severe lameness was identified. The effect of group on time to culling was investigated using a Cox proportional hazards model. No benefit of the NSAID or hoof trimming intervention on culling risk was identified. Our results highlight the importance of frequent therapeutic trimming and the application of orthopedic blocks in the treatment of lameness in multiparous animals that may have a history of calving and lameness without NSAID administration.