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Correction to: Self-reported Clinical Outcomes and Quality of Life in Agammaglobulinemia:the Importance of an Early Diagnosis (vol 45, 125, 2025)
No full textThe original version of this article had Pere Soler-Palacín’s name formatted incorrectly. It should be “Soler-Palacín P.” instead of “Palacin P.S.“. Correct Formatting: From: < GivenName > Pere</GivenName> < GivenName > Soler</GivenName> < FamilyName > Palacín</FamilyName> To: < GivenName > Pere </GivenName> < FamilyName > Soler-Palacín</FamilyName> The original version has been corrected.</p
Rethinking Acute Sports Injuries:Evidence for an Overuse Mechanism in Hamstring and ACL Injuries
No full textSports injuries have traditionally been classified as acute or overuse based on their onset and associated circumstances. Hamstring strain injuries and anterior cruciate ligament (ACL) injuries are two common sports injuries that are typically implicitly considered to represent acute injuries. This brief review, however, argues that hamstring and ACL injuries may at least partly present as overuse injuries resulting from a mechanical fatigue phenomenon, rather than acute injuries. Human, animal, and cadaveric studies are discussed to support this view. For example, human studies show no kinematic deviation in the stride during which the hamstring injury occurs as compared to the preceding strides. Further, the location of injury and ultrastructural damage of hamstring injuries is largely comparable to that seen in repetitive muscle-tendon unit lengthening experiments in animals. For the ACL, repetitive simulated jump landings have been shown to lead to ACL failure despite the ACL load being well below its ultimate strength. Furthermore, analyses of ACL explants obtained from noncontact ACL-injured patients during reconstruction surgery indicate similar damage to cadaveric studies that repetitively loaded the ACL. In summary, studies with diverse methodological approaches support the view that mechanical fatigue may predispose hamstring and ACL tissues to failure at submaximal loads during seemingly normal movements. Although further research is needed to substantiate these hypotheses, recognizing mechanical fatigue as a factor in these injuries can inform training and rehabilitation protocols and open opportunities to use modeling approaches and wearable sensors to monitor tissue load and damage, ultimately reducing injury rates
Definition of resectable stage III non-small cell lung cancer (NSCLC) for inclusion in clinical trials:A clinical case review by a pan-European multidisciplinary expert panel led by the EORTC Lung Cancer Group
No full textIntroduction: Stage III non-small cell lung cancer (NSCLC) is a heterogeneous disease, leading to ambiguity in resectability criteria. This has prompted the EORTC Lung Cancer Group to establish a standardized definition of resectability for clinical trials. A Delphi consensus process was initiated, including a systematic review, survey, and clinical cases review. Here, we report exclusively the results of the clinical cases review, aimed to categorize cases based on tumor and lymph node factors, to identify those deemed surgically resectable upfront. Methods: Consecutive patients with clinical stage III NSCLC (8th TNM edition) treated at Institut Jules Bordet between 2016–2021 were identified. These cases underwent evaluation by multidisciplinary panels (MDT), comprising thoracic surgeons, radiation oncologists, medical oncologists/pulmonologists and imaging specialists. The MDT determined the resectability of each tumor, and non-consensual cases underwent a second and a third discussion rounds. A TNM-subset was classified as “resectable” if =75 % of cases within that category were deemed “resectable” following multiple rounds of review. Results: Among 105 cases, 52 % of tumors were stage IIIA, 36 % stage IIIB and 11 % stage IIIC. After the first two review rounds, 13 % of cases were classified as “no consensus” and moved to a third round. The main reasons were suboptimal imaging (n = 8), incomplete invasive mediastinal staging to assess the N factor (n = 3), and disagreement on the resectability of T4 tumors invading thoracic structures or with multi-station/bulky N2 disease (n = 3). After the third review round, T3-T4 tumors based on size/satellite nodules and/or with N1-N2 single-station involvement were considered resectable. In contrast, many invasive T4-tumors were considered unresectable, especially if combined with N2-N3 disease. N2-multi-station, N2-bulky or N3 involvement were generally considered unresectable (100 %/95 %/95 % respectively). Conclusions: After a multiple-round multidisciplinary review of real-world cases, consensus was reached for most TNM-subsets, except for invasive T4N0 tumors. This case review informed the Consensual Definition of Resectable stage III NSCLC in clinical trials
Merging the Passerini reaction with chemo-enzymatic synthesis for C-terminal peptide modification
No full textPeptide and protein synthesis, as well as bioconjugation, are increasingly important for developing site-selective modifications in biomedical applications. Herein, we report a strategy that combines the Passerini multicomponent reaction and peptiligase-mediated ligations for the selective bio-conjugation of peptide C-termini. The Passerini reaction, performed under aqueous acidic buffer conditions, ensures chemoselectivity for the carboxylic acids, while the subsequent enzymatic ligation selectively targets the functionalized C-terminal substrates. We demonstrated this approach on a diverse set of peptides while incorporating various isocyanides and aldehydes/ketones and successfully achieved ligations. By combining the Passerini reaction with enzymatic selectivity, this method provides a versatile and efficient platform for site-selective C-terminal modification, expanding the toolkit for peptide and protein modifications and synthesis
The Evolving Role of Principles in EU Environmental Law
No full textThis contribution aims to present the main conclusions arising from the articles collected within the special issue ‘The Evolving Role of Principles in EU Environmental Law’. After an explanation of what the editors understand ‘principles’ in the EU environmental law acquis to be and their core features, the contribution reviews the strands of literature concerning the environmental principles and highlights the contribution made by the special issue to the scholarly debate on the role of principles in EU (environmental) law. The contribution closes by highlighting three main conclusions: first, the interpretation of the principles has stabilised in specific contexts, but the specific concretisations within such contexts feed back into the content of the principles creating the potential for legal innovations. Second, the principles cannot provide a coherent and complete framework within which individual rules develop because of their diverse nature. Third, the dynamics of the operation of the principles point to their ability to focus on core questions that need to be addressed when discussing and shaping the environmental acquis. Thus, whilst the vagueness and flexibility of the environmental principles pose risks, they also function as a beacon guiding the journey towards a robust and effective environmental law
Ready or Not: The Perks Of Change Readiness (Mis) Fit In Teams
No full textDespite growing interest in individual and team-level change readiness (CR) and its effects on employee outcomes, to date both theory and empirical evidence fall short in explaining how attitudinal (dis)alignment of the focal team member (with the rest of the team) with respect to CR explains vital employee outcomes such as task and adaptive performance, and organizational citizenship behaviors (OCBs). Drawing on PE-theory and Optimal Distinctiveness Theory, our assumptions are tested on team data in two distinct studies. We surveyed 61 teams (356 individual team members) and 61 leaders for Study 1, and 99 teams (481 individual team members) for Study 2. In study 1, we hypothesize and find that the individual’s standing in the team in terms of (in)congruence between the focal team member (i.e., lower, or higher individual’s intentional CR) and the team’s average level of intentional CR relates positively to leader-rated task performance (for incongruence), while only high intentional CR associates with increased self-rated adaptive performance (for congruence). Subsequently, in Study 2, we propose and find that individuals (in their own reporting) increase their OCBs towards the team, if their psychological contract with the team is fulfilled, arguably due to a compensatory reaction to atone for the reduced task performance and protect the positive exchange relationship with the team
Same client, different care?:Investigating practice variation in home care needs assessment
No full textOn the existence and characterization of pure-strategy equilibrium in price-quantity games
No full textIdentification of Key Feature Interactions via PDP Decomposition
No full textUnderstanding feature interactions is essential for interpreting complex machine learning models. Global interpretation methods, such as Partial Dependence Plots (PDPs), are commonly used to visualize the marginal effects of features on model predictions. However, PDPs average feature effects across all other features, which can obscure critical interaction patterns and fail to identify important features influenced by these interactions. While Individual Conditional Expectation plots reveal variations in a feature’s effects across individual data points, they do not provide insights into the specific interactions causing these differences. To address these limitations, we propose a method that combines functional decomposition with PDP analysis, enabling the isolation and interpretation of feature interactions. High variance indicates significant interaction effects, while low variance suggests a constant contribution to the prediction. We evaluate this approach on synthetic and real-world datasets, showing that it effectively identifies and interprets feature interactions, offering deeper insights into model behavior