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Abstract Bergmann’s rule is a well‐established, ecogeographical principle that states that body size varies positively with latitude, reflecting the thermoregulatory benefits of larger bodies as temperatures decline. However, this principle does not seem to easily apply to migratory species that are able to avoid the extreme temperatures during winter at higher latitudes. Further, little is known about the ontogeny of this relationship across life stages or how it is influenced by ongoing global climate change. To address these knowledge gaps, we assessed the contemporary relationship between latitude and body size in a long‐distance migratory species, the prothonotary warbler (Protonotaria citrea) across life stages (egg to adult) on their breeding grounds. We also measured historic eggs (1865‐1961) to assess if the relationship between latitude and size during this life stage has changed over time. In accordance with Bergmann’s rule, we found a positive relationship between latitude and body mass during all post‐embryonic life stages, from early nestling stage through adulthood. We observed this same predicted pattern with historic eggs, but contemporary eggs exhibited the reverse (negative) relationship. We suggest that these results indicate a genetic component to this pattern and speculate that selection for larger body size in altricial nestlings as latitude increases may possibly drive the pattern in migratory species as even rare extreme cold weather events may cause mortality during early life stages. Furthermore, the opposite relationships observed in eggs, dependent on time period, may be related to the rapidly warming environments of higher latitudes that is associated with climate change. Although it is unclear what mechanism(s) would allow for this recent reversal in eggs (but still allow for its maintenance in later life stages). This evidence of a reversal suggests that anthropogenic climate change may be in the process of altering one of the longest‐standing principles in ecology.

OBJETIVOS: O propósito deste estudo é avaliar os resultados em curto prazo do tratamento artroscópico do impacto femoroacetabular. A hipótese é a de que os resultados do tratamento artroscópico são favoráveis. MÉTODOS: Entre agosto de 2003 e agosto de 2007, 28 quadris foram submetidos ao tratamento do impacto femoroacetabular pela via artroscópica. A idade média dos pacientes foi de 34 anos, com média de seguimento de 27 meses. Quanto à melhora clínica, os pacientes foram avaliados pré e pósoperatoriamente pelo Harris Hip Score (HHS) modificado por Byrd. Os pacientes foram avaliados pré e pós-operatoriamente em relação à rotação interna do quadril acometido. Os valores obtidos nos índices acima foram analisados estatisticamente através do método de Wilcoxon para a avaliação de variáveis não paramétricas. RESULTADOS: O Harris Hip Score médio pré-operatório foi de 54,2 e o pós-operatório, de 94,8 (p < 0,001). O aumento médio do HHS foi de 37,5 pontos. Houve quatro resultados bons (15%) e 24 excelentes (85%). Pré-operatoriamente os pacientes apresentavam rotação interna do quadril média de 17º e pós-operatoriamente, de 36º. O aumento médio de rotação interna foi de 19º (p < 0,001). CONCLUSÃO: O tratamento artroscópico do impacto femoroacetabular tem resultados satisfatórios.OBJECTIVE: The purpose of this study is to evaluate the short-term follow-up results of arthroscopic treatment of femoroacetabular impingement. Our hypothesis is that arthroscopic treatment results are favorable. METHODS: Between August 2003 and August 2007, 28 hips had femoroacetabular impingement treated by hip arthroscopy. The mean age was 34 years, with mean follow-up period of 27 months. Clinical results were graded with the modified Harris hip score, which was measured pre-and postoperatively. Patients had also their internal rotation analyzed. These parameters were calculated by using Wilcoxon's t test for analysis of nonparametric paired samples performed. RESULTS: The mean preoperative Harris Hip Score was 54.2, improving to 94.8 postoperatively (p

A fratura subcondral da cabeça femoral é afecção pouco conhecida e, consequentemente, pouco diagnosticada. O quadro clínico de dor aguda ou insidiosa com piora progressiva na região inguinal, exacerbada com carga e com alívio em repouso, deve levar à suspeita diagnóstica. O erro comumente feito com o diagnóstico de necrose avascular da cabeça do fêmur pode induzir a indicação de procedimentos invasivos desnecessários no quadril. Com o advento da ressonância nuclear magnética, o diagnóstico dessa afecção pode ser realizado observando os diferentes padrões de edema medular na cabeça do fêmur, possibilitando o tratamento precoce correto.Subchondral fracture of the femoral head is an uncommon and underdiagnosed affection. The abrupt or gradual onset of groin pain with functional disability on weight-bearing that improves with a resting period should alert the orthopedic surgeon to the possibility of this diagnosis. The differential diagnosis from osteonecrosis of the femoral head can be provided by assessing the different patterns of bone edema on MRI studies of the hip, thus avoiding unnecessary invasive operations on the hip.

Abstract Standard clinical practice to assess fetal well-being during labour utilises monitoring of the fetal heart rate (FHR) using cardiotocography. However, visual evaluation of FHR signals can result in subjective interpretations leading to inter and intra-observer disagreement. Therefore, recent studies have proposed deep-learning-based methods to interpret FHR signals and detect fetal compromise. These methods have typically focused on evaluating fixed-length FHR segments at the conclusion of labour, leaving little time for clinicians to intervene. In this study, we propose a novel FHR evaluation method using an input length invariant deep learning model (FHR-LINet) to progressively evaluate FHR as labour progresses and achieve rapid detection of fetal compromise. Using our FHR-LINet model, we obtained approximately 25% reduction in the time taken to detect fetal compromise compared to the state-of-the-art multimodal convolutional neural network while achieving 27.5%, 45.0%, 56.5% and 65.0% mean true positive rate at 5%, 10%, 15% and 20% false positive rate respectively. A diagnostic system based on our approach could potentially enable earlier intervention for fetal compromise and improve clinical outcomes.

Introduction Smell is one of the senses of the human body, and it can be affected by several factors, such as viral infections, traumatic brain injury, iatrogenesis, smoking, and neurodegenerative and systemic diseases.