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In this Reply, we respond to the Comment by Schlitters et al. on our recent work [Phys. Rev.

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Jerome Wakefield criticizes my biostatistical analysis of the pathological-as statistically subnormal biological part-functional ability relative to species, sex, and age-for its lack of a harm clause. He first charges me with ignoring two general distinctions: biological versus medical pathology, and disease of a part versus disease of a whole organism. He then offers 10 counterexamples that, he says, are harmless dysfunctions but not medical disorders.

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Levin and Bakhshandeh suggested in their comment that (1), we stated in our recent review that pH-p is a universal parameter for titrating systems, that (2), we omitted to mention in our review the broken symmetry of the constant pH algorithm, and that (3), a constant pH simulation must include a grand-canonical exchange of ions with the reservoir. As a reply to (1), we point out that Levin and Bakhshandeh misquoted and hence invalidated our original statement. We therefore explain in detail under which circumstances pH-p can be a universal parameter, and also demonstrate why their numerical example is not in contradiction to our statement.

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The under-representation of females within the labour market, particularly in managerial roles, has sparked a local and global debate on whether women, mostly mothers, face negative discrimination. This study distinctly adopts a field experiment methodology to investigate the presence of gender discrimination and the motherhood penalty against higher education (Bachelor, Master's, and Doctoral degree) females seeking full-time employment in the labour market at the initial stage of the recruitment process, being the call-back to the interview. This study took place in Malta, which was characterised by a low unemployment figure, complemented by strong economic growth at the time, thus enabling a proper analysis of the possible presence of gender-based discrimination even when labour demand is high.

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Introduction: The meaning in life (ML) is a significant predictor of the physical and mental health of patients with chronic diseases, and its construct is culturally specific.As a group between normal people and the patients with advanced cancer, patients with End-Stage Kidney Disease (ESKD) who are undergoing hemodialysis (HD) are often outside of research focus on ML.

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