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The Jordan Valley (JV) is a critical region where the interplay of water, energy, food, and ecosystem (WEFE) dynamics presents both challenges and opportunities for sustainable development and climate change mitigation and adaptation. In such a transboundary river basin with acute nexus problems and a long history of conflicts, it is essential that conscious efforts are made to pluralize the debate and actively encourage stakeholders' empowerment, participation and fair collaboration in strategic planning. An integrated framework for participatory strategic planning in the WEFE nexus is proposed, which has been developed in the context of the JV case study.

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Background: Immune checkpoint inhibitors (ICIs), either alone or in combination with platinum-based chemotherapy, are effective in the first-line treatment of metastatic, non-oncogene-addicted, non-small cell lung cancer (NSCLC). However, when NSCLC patients progress, the efficacy of available treatment options is limited.

Methods: We undertook a meta-analysis that compared combination regimens with the current standard of care.

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Agent-based simulations are set to describe the early biotic selection of oligomers made of monomers of different chirality. The simulations consider the spatial distribution of agents and resources, the balance of biomass of different chirality, and the balance of chemical energy. Following the well-known Wald's hypothesis, a disadvantage is attributed to the change in chirality along the biochemical sequence.

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Introduction: Observational studies have found that higher iron levels are associated with an increased risk of diabetes mellitus. Given the limitations of causal inferences from observational studies and the expensive and time-consuming nature of randomized controlled trials, Mendelian randomization analysis presents a reasonable alternative to study causal relationships. Previous MR analyses studying iron levels and diabetes have used indirect markers of iron levels, such as serum ferritin, and found conflicting results.

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Allergic rhinitis (AR) and asthma (AS) are two of the most common chronic respiratory diseases and a major public health concern. Multiple studies have demonstrated the role of the nasal bacteriome in AR and AS, but little is known about the airway mycobiome and its potential association to airway inflammatory diseases. Here we used the internal transcriber spacers (ITS) 1 and 2 and high-throughput sequencing to characterize the nasal mycobiome of 339 individuals with AR, AR with asthma (ARAS), AS and healthy controls (CT).

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