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The late 7th and 6th centuries B.C. were a period of tremendous upheaval and change in ancient western Asia, marked by the destruction of the Assyrian Empire, the rise and collapse of the Neo-Babylonian state, and the stunning ascent of what was to become the Achaemenid Persian Empire, the largest polity the world had yet seen. Of the major cultural entities involved in these far-reaching events, Elam has long remained the least understood. The essays contained in this book are part of a continuing reassessment of the nature and significance of Elam in the early 1st millennium B.C., with a focus on the relationship between \"Elamite\" culture of the Neo-Elamite period and the emerging \"Persian\" culture in southwestern Iran in the 7th and 6th centuries B.C. The conception of this volume goes back to the 2003 meeting of the American Schools of Oriental Research that took place in Philadelphia, Pennsylvania, where two sessions were dedicated to the rich cultural heritage of ancient Iran. It was also the first time that Iranian archaeology was represented at ASOR since the Iranian Revolution. This volume contains 14 contributions by leading scholars in the discipline, organized into 3 sections: archaeology, texts, and images (art history). The volume is richly illustrated with more than 200 drawings and photographs.

This is an exciting time in East Asia and the Pacific region. No region will appear to be moving so rapidly. In this dynamic environment, many countries in the region have been approaching the World Bank requesting technical assistance and knowledge about health financing best practices and options. There is great interest in expanding knowledge sharing and learning from other East Asian and Pacific countries about their experiences in health financing. Moreover, some common issues appear to be emerging: universal insurance, options for financing health insurance, institutional setups of health financing options, provider payment mechanisms, equity considerations, ways to reach the poor and impoverished, and ways to meet the challenges of a changing demographics and epidemiologic profile. Under a generous grant from the Health, Nutrition, and population hub in the World Bank in fiscal year 2008, the region was requested to provide an overview of health financing systems in the region. This overview examined the different health financing mechanisms in terms of performance on dimensions of efficiency and equity and in terms of relative roles of government. In addition, the analysis was to identify, gaps in knowledge needing to be addressed strengthen and reform existing health financing mechanisms and thereby expand health coverage and benefits.

With a proliferation of scholarly work focusing on populist, far-left, and far-right parties, questions have arisen about the correct ways to ideologically classify such parties. To ensure transparency and uniformity in research, the discipline could benefit from a systematic procedure. In this letter, we discuss how we have employed the method of ‘Expert-informed Qualitative Comparative Classification’ (EiQCC) to construct the newest version of The PopuList (3.0) – a database of populist, far-left, and far-right parties in Europe since 1989. This method takes into account the in-depth knowledge of national party experts while allowing for systematic comparative analysis across cases and over time. We also examine how scholars have made use of the previous versions of the dataset, explain how the new version of The PopuList differs from previous ones, and compare it to other data. We conclude with a discussion of the strengths and limitations of The PopuList dataset.

The spiders of the species group in China are distributed across the Lüliang Mountains and the Yanshan-Taihang Mountains in northern China, and the Changbai Mountains, which border northeastern China and North Korea. This study presents the first collection of the species group from mountainous regions situated between the Yanshan-Taihang and Changbai Mountains, revealing six new species: S. Li & Yao, , S. Li & Yao, , S. Li & Yao, , S. Li & Yao, , S. Li & Yao, , and S. Li & Yao, Detailed diagnoses, descriptions, photomicroscopy images, and DNA barcodes of new species are provided.

In living organisms, daily light/dark cycles profoundly affect cellular processes. In plants, optimal growth and development, and adaptation to daily light–dark cycles, require starch synthesis and turnover. However, the underlying molecular mechanisms coordinating daily starch metabolism remain poorly understood. To explore the roles of Arabidopsis thaliana light signal transduction proteins FAR-RED ELONGATED HYPOCOTYLS3 (FHY3) and FAR-RED-IMPAIRED RESPONSE1 (FAR1) in starch metabolism, the contents of starch and water-soluble polysaccharides, and the structure of starch granules were investigated in fhy3, far1 and fhy3 far1 mutant plants. Disruption of FHY3 or FAR1 reduced starch accumulation and altered starch granule structure in the fhy3-4, far1-2, and fhy3-4 far1-2 mutant plants. Furthermore, molecular and genetic evidence revealed that the gene encoding the starch-debranching enzyme ISOAMYLASE2 (ISA2) is a direct target of FHY3 and FAR1, and functions in light-induced starch synthesis. Our data establish the first molecular link between light signal transduction and starch synthesis, suggesting that the light-signaling proteins FHY3 and FAR1 influence starch synthesis and starch granule formation through transcriptional activation of ISA2.

Super-resolution optical microscopy, which gives access to finer details of objects, is highly desired for fields of nanomaterial, nanobiology, nanophotonics, etc. Many efforts, including tip optimization and illumination optimization etc., have been made in both near-field and far-field super-resolution microscopy to achieve a spatial resolution beyond the diffraction limit. The development of vector light fields opens up a new avenue for super-resolution optical microscopy via special illumination modes. Cylindrical vector beam (CVB) has been verified to enable resolution improvement in tip-scanning imaging, nonlinear imaging, stimulated emission depletion (STED) microscopy, subtraction imaging, superoscillation imaging, etc. This paper reviews recent advances in CVB-based super-resolution imaging. We start with an introduction of the fundamentals and properties of CVB. Next, strategies for CVB based super-resolution imaging are discussed, which are mainly implemented by tight focusing, depletion effect, plasmonic nanofocusing, and polarization matching. Then, the roadmap of super-resolution imaging with CVB illumination in the past two decades is summarized. The typical CVB-based imaging techniques in fields of both near-field and far-field microscopy are introduced, including tip-scanning imaging, nonlinear imaging, STED, subtraction imaging, and superoscillation imaging. Finally, challenges and future directions of CVB-illuminated super-resolution imaging techniques are discussed.

Scattering-type scanning near-field optical microscopy (s-SNOM) and Fourier transform infrared nanospectroscopy (nano-FTIR) are emerging tools for physical and chemical nanocharacterization of organic and inorganic composite materials. Being based on ( ) diffraction-limited illumination of a scanning probe tip for nanofocusing of light and ( ) recording of the tip-scattered radiation, the efficient suppression of background scattering has been critical for their success. Here, we show that indirect tip illumination via far-field reflection and scattering at the sample can produce s-SNOM and nano-FTIR signals of materials that are not present at the tip position – despite full background suppression. Although these artefacts occur primarily on or near large sample structures, their understanding and recognition are of utmost importance to ensure correct interpretation of images and spectra. Detailed experimental and theoretical results show how such artefacts can be identified and eliminated by a simple signal normalization step, thus critically strengthening the analytical capabilities of s-SNOM and nano-FTIR spectroscopy.

We report the findings of asymmetrical double-slit experiments conducted under Fraunhofer far-field conditions, within the single-photon approximation framework. A notable outcome of these experiments is the consistent observation of interference effects at the first main diffraction minima that surpass the limit set by the complementarity principle D + V = 1. Specifically, we identify anomalous correlations between the D-particle distinguishability and the V-wave visibility, where D + V > 1., suggesting that, within the same experimental context, a significant number of photons exhibit both wave-like and particle-like behavior simultaneously. In the absence of a more comprehensive theoretical account, this anomalous interference may serve as empirical support for the objective physical reality of quantum matter, which stands in contrast to the foundational tenets of the Copenhagen school of quantum mechanics.

The Polar Radiant Energy in the Far‐InfraRed Experiment (PREFIRE) was selected by NASA to fly two miniaturized Thermal InfraRed Spectrometers (TIRS) capable of distinguishing the spectral signatures of surface and atmospheric properties in Earth's polar regions. A trade study examining spectral sampling as well as separation of cloudy and clear scenery at 20 km scales highlighted the possibility to utilize ambient (uncooled) detector technologies in a miniaturized spectrometer that could facilitate low‐cost and rapid access to space. This work describes the design, implementation, testing and performance of two TIRS systems, as well as the challenges and acceptable limitations of the cost‐constrained effort, that feature the novel joining of compact thermopile array technologies with concentric imaging spectrometry methods. The TIRS systems presented here each have 2.7 kg mass, draw 4.3 W power, and provide spectral resolution of 1.71 μ${\\upmu }$ m below 35 μ${\\upmu }$ m sampled at 0.86 μ${\\upmu }$ m increments. Plain Language Summary Earth absorbs energy emitted by the Sun, radiating some of that as heat back into space. The energy exchange between Earth and space drives weather and climate. Scientists measure and track this energy using satellite instruments that can identify which parts of Earth's surface and atmosphere emit specific portions of the overall heat radiated into space. But these instruments are complicated and expensive, and until now, no one has built a sensor that can look at and separate all of Earth's heat emissions in a systematic way. The Polar Radiant Energy in the Far‐InfraRed Experiment (PREFIRE) has developed a novel instrument that combines simple, miniaturized heat sensors with specially shaped optics and microelectronics to provide such measurements to further our understanding of the planet's weather and climate. Furthermore, implementation of the sensors has been done within a cost‐capped mission profile that encourages development of a sustainable sensor system for Earth monitoring. This manuscript describes the instrument design, including its components and their characteristics, the system and its functionality, its trade‐offs, cost limitations, and testing and performance information. PREFIRE began operating two of these instruments in space in 2024, in order to start quantifying the heat exchange processes in Earth's polar regions. Key Points Instrumentation for low‐cost, broadband spectral thermal imaging has been developed for spaceflight Thermal radiances across the majority of the Planck function can be quantified in a single polychromatic imager We are poised to disentangle biases in polar radiometric processes to improve predictive capabilities of local and global climate models

Emotion, after a long period of inattention, began to attract greater scrutiny as a key driver of human behavior in the mid-1980s. One approach that has achieved significant influence in political science is affective intelligence theory (AIT). We deploy AIT here to begin to understand the recent rise in support for right-wing populist leaders around the globe. In particular, we focus on specific emotional appraisals on elections held at periods of heightened threat, including the two 2015 terror attacks in France, as influences on support for the far-right Front National among conservatives. Contrary to much conventional wisdom, we speculate that threats can generate both anger and fear, and with very different political consequences. We expect fear to inhibit reliance on extant political dispositions such as ideological identification and authoritarianism, while anger will strengthen the influence of these same dispositions. Our core findings, across repeated tests, show that fear and anger indeed differentially condition the way habits of thought and action influence support for the far right in the current historical moment. Contrary to conventional wisdom, it is anger that mobilizes the far right and authoritarians. Fear, on the other hand, diminishes the impact of these same dispositions.