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A simple modification to an existing powder diffraction specimen holder is given to allow for the presentation of filter papers for analysis. A mild steel annulus holds the filter paper in place using magnets added to the rear of the specimen holder.

BACKGROUND: Chronic rhinosinusitis is regarded as a chronic airway disease. According to WHO recommendations, it may be a risk factor for COVID-19 patients. In most CRSwNP cases, the inflammatory changes affecting the nasal and paranasal mucous membranes are type-2 (T2) inflammation endotypes. METHODS: The current knowledge on COVID-19 and on treatment options for CRS was analyzed by a literature search in Medline, Pubmed, international guidelines, the Cochrane Library and the Internet. RESULTS: Based on international literature, on current recommendations by WHO and other international organizations as well as on previous experience, a panel of experts from EAACI and ARIA provided recommendations for the treatment of CRS during the COVID-19 pandemic. CONCLUSION: Intranasal corticosteroids remain the standard treatment for CRS in patients with SARS-CoV-2 infection. Surgical treatments should be reduced to a minimum and surgery preserved for patients with local complications and for those with no other treatment options. Systemic corticosteroids should be avoided. Treatment with biologics can be continued with careful monitoring in noninfected patients and should be temporarily interrupted during the course of the COVID-19 infection.

Abstract Closed-loop electronic medication management systems (EMMS) are recognised as an effective intervention to improve medication safety, yet evidence of their effectiveness in hospitals is limited. Few studies have compared medication turnaround time for a closed-loop electronic versus paper-based medication management environment. Objective To compare medication turnaround times in a paper-based hospital environment with a digital hospital equipped with a closed-loop EMMS, consisting of computerised physician order entry, profiled automated dispensing cabinets packaged with unit dose medications and barcode medication administration. Method Data were collected during 2 weeks at three private hospital sites (one with closed-loop EMMS) within the same organisation network in Queensland, Australia. Time between scheduled and actual administration times was analysed for first dose of time-critical and non-critical medications located on the ward or sourced via pharmacy. Key findings Medication turnaround times at the EMMS site were less compared to the paper-based sites (median, IQR: 35 min, 8–57 min versus 120 min, 30–180 min, P < 0.001). For time-critical medications, 77% were administered within 60 min of scheduled time at the EMMS site versus 38% for the paper-based sites. Similar difference was observed for non-critical medications, 80% were administered within 60 min of their scheduled time at the EMMS site versus 41% at the paper-based facilities. Conclusion The study indicates medication turnaround times utilising a closed-loop EMMS are less compared to paper-based systems. This improvement may be attributable to increased accessibility of medications using automated dispensing cabinets and electronic medication administration records flagging tasks to nurses in real time.

As heart failure with preserved ejection fraction (HFpEF) rises to epidemic proportions, major steps in patient management and therapeutic development are badly needed. With the current position paper we seek to update our view on HFpEF as a highly complex systemic syndrome, from risk factors and mechanisms to long-term clinical manifestations. We will revise recent advances in animal model development, experimental set-ups and basic and translational science approaches to HFpEF research, highlighting their drawbacks and advantages. Directions are provided for proper model selection as well as for integrative functional evaluation from the in vivo setting to in vitro cell function testing. Additionally, we address new research challenges that require integration of higher-order inter-organ and inter-cell communication to achieve a full systems biology perspective of HFpEF.

High-impact review papers describe and synthesize the current state of the art, the open questions and controversies, and provide ideas for future investigations. They are written not only for a specific scientific discipline but also for the broader Earth and space science community. They not only summarize the literature, but they also create a framework from which to understand the progress, problems, and connections between different communities, observations, models, and approaches. Here we describe how to write a high-impact review paper, and why you should consider writing one for Reviews of Geophysics.

The aim of this document was to provide a critical review of the current knowledge on hypersensitivity pneumonitis caused by the occupational environment and to propose practical guidance for the diagnosis and management of this condition. Occupational hypersensitivity pneumonitis (OHP) is an immunologic lung disease resulting from lymphocytic and frequently granulomatous inflammation of the peripheral airways, alveoli, and surrounding interstitial tissue which develops as the result of a non-IgE-mediated allergic reaction to a variety of organic materials or low molecular weight agents that are present in the workplace. The offending agents can be classified into six broad categories that include bacteria, fungi, animal proteins, plant proteins, low molecular weight chemicals, and metals. The diagnosis of OHP requires a multidisciplinary approach and relies on a combination of diagnostic tests to ascertain the work relatedness of the disease. Both the clinical and the occupational history are keys to the diagnosis and often will lead to the initial suspicion. Diagnostic criteria adapted to OHP are proposed. The cornerstone of treatment is early removal from exposure to the eliciting antigen, although the disease may show an adverse outcome even after avoidance of exposure to the causal agent.

The authors gratefully acknowledge funding through the ServPPIN project: The Contribution of Public and Private Services to European Growth and Welfare, and the Role of Public‐Private Innovation Networks, Socio‐Economic Sciences and Humanities Programme of the EU 7th Framework Programme., This paper shapes and identifies the varieties and dynamics of service economies in the EU 25. By adopting a neo-Schumpeterian and evolutionary approach it contributes to enrich previous research dealing with national disparities from the perspective of services economic structures. Communalities across countries and time are detected and discussed at different levels of analysis. A wide set of models across the European region is found from an aggregated perspective. Moreover, the paper analyses the key dimensions explaining the different service models at sectoral level: structural change, knowledge and innovation, internationalisation and competition restrictions. The main result shows that structural composition of countries plays a prominent role, while heterogeneity is driven by dissimilarities in knowledge bases and innovative efforts across Europe., Unión Europea. FP7, Depto. de Análisis Económico y Economía Cuantitativa, Fac. de Ciencias Económicas y Empresariales, TRUE, pub

Starting from the assumption that citizenship is valuable private property that would be even more valuable if it were transferable, the paper explores the idea of commodification of citizenship. The paper provides arguments in favor of commodification of citizenship and recommendations to how the market for citizenship should be designed. A market for citizenships could result in an improved matching between employer and employee when citizens swap citizenship with each other. Successful States would issue new citizenships and thus provide the possibility for a greater share of the world population to live and work within the countries with the best institutions. The combined effect would be a higher global productivity. Market prices on citizenships would provide a robust indicator of institutional quality and thus provide politicians with information on voters´ preferences and it would also provide voters with information on the quality of the work of the government. The market value of a tradable citizenship is also found to be a promising candidate as tax base for a redistributive tax on a global level that could address some of the inherit inequality inherit in the current distribution of citizenships.

This article analyses the review, acceptance and publication dates of a sample of 21,890 articles from 326 Ibero-American scientific journals from all subject areas and countries included in the Latindex Catalogue 2.0 and published between 2018 and 2020 (freely available as an open access dataset). The aim is to discover evaluation and publication times. The evaluation process takes a median of 110 days, the publication process, a median of 82 days, and the whole process, a median of 224 days. Statistical differences are found according to periodicity, subject areas, countries, existence of a printed version and article type (Call for Papers or General articles). From the data we find that the delay in publication is longer than publishers themselves report to the DOAJ. STEM areas present the most similarity in publication patterns, having a higher number of evaluation days (Ed) than publication days (Pd); Arts and Humanities present the opposite pattern, with a higher Pd than Ed. In the case of Social Sciences, the times are similar. General articles and Call for Papers articles differ in terms of Ed, but not Pd, indicating that Call for Papers revisions are faster.

Although considerable research has explored consumer ethnocentrism and conspicuous consumption effects independently, a meaningful quantitative analysis of the interaction of such effects on consumer perception is yet to be undertaken. This study aims to provide insight into these effects by examining the impacts of consumer ethnocentrism and consumption setting on foreign Country-of-Origin (COO) effects in a Chinese consumer wine market context. A total of 324 wine consumers in mainland China participated in a 3 (COO: France vs. Australia vs. China) × 2 (Consumption Setting: Public vs. Private) × continuous (Chinese consumer ethnocentrism) between-subject, factorial design experiment. The study finds that Chinese consumers favor French red wine when compared with its Australian and Chinese counterparts but shows that Australian wines still benefit through smaller, indirect COO effects. Additionally, French COO effects are mediated by the utilitarian and hedonic meanings of red wine and moderated by consumer trait ethnocentrism and the consumption setting. This paper contributes to the understanding of culturally informed self-regulation of consumer behaviors and how Chinese consumer ethnocentrism interacts with consumption settings to alter a consumer's perception of foreign goods. The findings of this paper also provide practical insight into Chinese wine consumers' perceptions and decision-making processes for wine exporters.

Clinical Relevance: Clinicians, researchers funding agencies and indeed the general public can benefit from knowledge of the most highly cited papers and most impactful authors, institutions, countries and journals in the field of keratoconus. Background: Bibliometrics relating to the keratoconus literature were derived to enable identification of the most impactful papers published, as well as the leading authors, institutions, countries and journals. Methods: A search was undertaken of the titles of papers on the Scopus database to identify keratoconus-related articles. The 20 most highly cited papers were determined from the total list of 4,419 papers found. Rank-order lists by count were assembled for the ‘top 20ʹ in each of four categories: authors, institutions, countries and journals. A subject-specific keratoconus-related h-index (hKC-index) was derived for each constituent of each category to serve as a measure of impact in the field. The top 10 constituents of each category were ranked by hKC-index and tabulated for consideration. Results: The hKC-index of the keratoconus field is 125. The 4,419 papers have been cited a total of 98,010 times, and 18.5% of these papers have never been cited. The most highly cited paper is a general review of keratoconus by Yaron Rabinowitz, who is also the most impactful author in the field (hKC = 31). The Cedars Sinai Medical Center in the United States produces the most impactful keratoconus-related papers (hKC = 36), and the United States is the most impactful country (hKC = 91). The Journal of Cataract and Refractive Surgery is the most impactful journal (hKC = 55). Conclusion: Keratoconus is a topic of high interest in the clinical and scientific literature. Highly cited papers and impactful authors, institutions, countries and journals are identified.

African countries are today the major importers of the lowest grade of second-hand clothing (SHC). With the opening of global markets and the intense circulation of fast fashion in the Global North from the 1990s, the trade of SHC has exploded in the twenty-first century. The fast fashion business model, which fuels the SHC trade, has led to reduced quality of clothes, limited clothing lifetime, and accelerated discard of clothing, which end up as donations or become waste. The complexity of the international geographies of the SHC trade creates opacity and secrecy, maintaining inequalities and imbalances between Global North (GN) and South (GS), which continue a relationship of colonial dependence. This paper presents a critical look at SHC exchange in Kantamanto, the biggest SHC market in West Africa, situated within the central business district of Accra, Ghana. The paper scrutinizes the export of unwanted donated clothing, popularly known as “Obroni w'awu” (white man is dead), to Kantamanto. We use direct observation along with an interpretive research design through the analysis of photos taken from Kantamanto, and scholarly and gray literature. The paper documents local practices of reuse, exposing a duality: on the one hand, clothing's symbolic value that is lost in the GN is reconstituted in the GS through exchange and labor-creating local economies. On the other, the global trade of SHC has become synonymous with dumping, continuing a colonialist relationship between the GN and GS whereby the GN exports unwanted clothing to predominantly African countries’ landfills.

Objective: With little research investigating older Australians' experience of companion animal (pet) ownership or wildlife encounters, this paper focuses on the value of animals in their lives. Methods: Three online focus groups explored 103 older adults' lived experience of home and community, with this paper focused on interactions with animals—companion animals and wildlife. Results: Most (60%) had at least one pet, which brought love and joy into their lives. Reflexive thematic analysis identified three themes: pets as family; challenges of pet ownership; and connection to everyday wildlife and nature. Conclusions: In addition to valuing companion animals (typically cats and dogs), this research is among the first to show that some older people also develop ongoing relationships with local Australian wildlife, such as kookaburras, kangaroos, lizards and birds, which raises the possibility that fostering connections with wildlife may enhance well-being.

Food processing is a complex, multifaceted problem that requires substantial human interaction to optimize the various process parameters to minimize energy consumption and ensure better-quality products. The development of a machine learning (ML)-based approach to food processing applications is an exciting and innovative idea for optimizing process parameters and process kinetics to reduce energy consumption, processing time, and ensure better-quality products; however, developing such a novel approach requires significant scientific effort. This paper presents and evaluates ML-based approaches to various food processing operations such as drying, frying, baking, canning, extrusion, encapsulation, and fermentation to predict process kinetics. A step-by-step procedure to develop an ML-based model and its practical implementation is presented. The key challenges of neural network training and testing algorithms and their limitations are discussed to assist readers in selecting algorithms for solving problems specific to food processing. In addition, this paper presents the potential and challenges of applying ML-based techniques to hybrid food processing operations. The potential of physics-informed ML modeling techniques for food processing applications and their strategies is also discussed. It is expected that the potential information of this paper will be valuable in advancing the ML-based technology for food processing applications.

Background: Geant4 is a Monte Carlo code extensively used in medical physics for a wide range of applications, such as dosimetry, micro- and nanodosimetry, imaging, radiation protection, and nuclear medicine. Geant4 is continuously evolving, so it is crucial to have a system that benchmarks this Monte Carlo code for medical physics against reference data and to perform regression testing. Aims: To respond to these needs, we developed G4-Med, a benchmarking and regression testing system of Geant4 for medical physics. Materials and Methods: G4-Med currently includes 18 tests. They range from the benchmarking of fundamental physics quantities to the testing of Monte Carlo simulation setups typical of medical physics applications. Both electromagnetic and hadronic physics processes and models within the prebuilt Geant4 physics lists are tested. The tests included in G4-Med are executed on the CERN computing infrastructure via the use of the geant-val web application, developed at CERN for Geant4 testing. The physical observables can be compared to reference data for benchmarking and to results of previous Geant4 versions for regression testing purposes. Results: This paper describes the tests included in G4-Med and shows the results derived from the benchmarking of Geant4 10.5 against reference data. Discussion: Our results indicate that the Geant4 electromagnetic physics constructor G4EmStandardPhysics_option4 gives a good agreement with the reference data for all the tests. The QGSP_BIC_HP physics list provided an overall adequate description of the physics involved in hadron therapy, including proton and carbon ion therapy. New tests should be included in the next stage of the project to extend the benchmarking to other physical quantities and application scenarios of interest for medical physics. Conclusion: The results presented and discussed in this paper will aid users in tailoring physics lists to their particular application.

Background: Geant4 is a Monte Carlo code extensively used in medical physics for a wide range of applications, such as dosimetry, micro- and nanodosimetry, imaging, radiation protection, and nuclear medicine. Geant4 is continuously evolving, so it is crucial to have a system that benchmarks this Monte Carlo code for medical physics against reference data and to perform regression testing. Aims: To respond to these needs, we developed G4-Med, a benchmarking and regression testing system of Geant4 for medical physics. Materials and Methods: G4-Med currently includes 18 tests. They range from the benchmarking of fundamental physics quantities to the testing of Monte Carlo simulation setups typical of medical physics applications. Both electromagnetic and hadronic physics processes and models within the prebuilt Geant4 physics lists are tested. The tests included in G4-Med are executed on the CERN computing infrastructure via the use of the geant-val web application, developed at CERN for Geant4 testing. The physical observables can be compared to reference data for benchmarking and to results of previous Geant4 versions for regression testing purposes. Results: This paper describes the tests included in G4-Med and shows the results derived from the benchmarking of Geant4 10.5 against reference data. Discussion: Our results indicate that the Geant4 electromagnetic physics constructor G4EmStandardPhysics_option4 gives a good agreement with the reference data for all the tests. The QGSP_BIC_HP physics list provided an overall adequate description of the physics involved in hadron therapy, including proton and carbon ion therapy. New tests should be included in the next stage of the project to extend the benchmarking to other physical quantities and application scenarios of interest for medical physics. Conclusion: The results presented and discussed in this paper will aid users in tailoring physics lists to their particular application.

Clinical relevance: Clinical optometric practice is underpinned by a rigorous research base, the primary evidence for which is publications in refereed scientific journals. Leading optometrists who publish this work should be identified and celebrated. Background: This work aims to derive publication metrics of the leading optometric researchers worldwide. Methods: An extensive global search was conducted to discover leading optometric researchers; 480 names were identified. A custom-designed bibliographic search tool was developed to interrogate the Scopus database (Elsevier) and extract publication metrics using the unique Scopus Author Identifier number for each optometrist. On 13 January 2021, the full list was reduced to 200 optometrists (the ‘Top 200’) ranked by h-index–the ‘Global Optometrist Top 200 Research Ranking’. The output from the custom tool automatically updates every 24 hours and is available at www.optomrankings.com. Results: The Top 200 have h-indices ranging from 20 to 67 and have published between 28 and 440 papers. Sixty one (30.5%) are women. Konrad Pesudovs has the highest h-index (67) and citations (51,193). The most prolific author is Robert Hess (442 papers). David Piñero is publishing at the fastest rate (17.6 papers per year). The Top 200 work in 13 nations, of whom 172 (86.0%) work in four nations: USA–76 (38.0%), Australia–43 (21.5%), UK–41 (20.5%) and Canada–16 (8.0%). Of the 72 institutions represented, the University of California, Berkeley, USA is home to the most Top 200 optometrists (17) and has the highest combined h-index of Top 200 optometrists (132). Conclusions: The optometric profession is supported by a robust research base, prosecuted by a large international cohort of optometric researchers who publish extensively on a broad range of ophthalmic issues and whose work is highly cited. The 200 most impactful optometrists in the world are identified.

Clinical relevance: Examination of the literature can help answer the age-old question of the extent to which rigid contact lenses can be considered an art versus a science. Background: This work aims to assemble rigid contact lens-related publication metrics to identify the most impactful papers, authors, institutions, countries and journals. Methods: A search was undertaken of the Scopus database to identify rigid contact lens-related articles published since this lens type was first described in 1949. The 25 most highly cited papers were determined from the total list of 1,823 papers found. Rank-order lists by count were assembled for the ‘top 25ʹ in each of four categories: authors, institutions, countries and journals. A subject-specific rigid contact lens h-index (hRL-index) was derived for each author, institution, country and journal to serve as a measure of impact in the field. A short list of the top constituents in each category were ranked by hRL-index and tabulated. Results: The most highly cited paper (467 citations) is entitled ‘Risk factors and prognosis for corneal ectasia after LASIK’, by Randleman et al. Karla Zadnik (hRL = 20; 32 papers) and Richard Hill (h = 10; 50 papers) are most impactful and prolific authors, respectively. The Ohio State University (hRL = 24; 96 papers) is the most impactful and prolific institution and the United States (hRL = 51; 680 papers) is the most impactful and prolific country. Optometry and Vision Science (hRL = 30; 233 papers) is the most impactful journal. Conclusions: Impactful authors, institutions, countries and journals in the field of rigid lenses are identified. Although there is perhaps an artistic element to rigid contact lens fitting, the solid literature base underpinning the field of rigid contact lenses revealed here belies the notion that rigid lenses fitting is more of an art than a science.

Clinical relevance: The scientific foundations for clinical contact lens practice are rooted in the ophthalmic literature. This analysis of contact lens papers celebrates contemporary research achievements in the contact lens field. Background: This work aims to assemble contact lens-related publication metrics so as to identify the most impactful papers published so far this century, as well the top countries, authors, institutions and journals. Methods: A search was undertaken of the titles of papers on the Scopus database to identify contact lens-related articles published this century. The ten most highly cited papers were determined from the total list of 4,164 papers found. Rank-order lists by count were assembled for the ‘top 25ʹ in each of four categories: authors, institutions, countries and journals. A 20-year subject-specific contact lens h-index (hCL-20-index) was derived for each author, institution, country and journal to serve as a measure of impact in the field. The top 10 constituents (of the top 25) of each category were ranked by hCL-20-index and tabulated for consideration. Results: The most highly cited paper this century is entitled ‘Soft contact lens polymers: An evolution’, by Nicholson and Vogt. Lyndon Jones is the most impactful author, with a hCL-20-index of 32. The University of New South Wales (Australia) produces the most impactful contact lens-related papers, and the United States is the most highly-ranked country. Optometry and Vision Science is the most impactful journal in the contact lens field. Conclusions: Contact lens materials and lens-associated keratitis are topics of high interest in the contemporary contact lens literature, with an emerging interest in orthokeratology for myopia control and glucose monitoring. Impactful 21st century authors, institutions, countries and journals are identified. Optometry is revealed as the leading profession in relation to the publication of imp

With enhanced financial liberalisation, banks’ reliance on traditional intermediary functions has gradually declined, changing the risk profile of these systemically important financial institutions. This paper examines an important channel through which these changes occur, the spillover effects from an increase in stock market liquidity on traditional bank business. This is the first paper to provide empirical evidence of a decline in the value of bank deposits and loans as aggregate stock market liquidity increases, with data from 7,297 banks in 39 countries from 1999 to 2014. We find that such effects vary with the level of financial development in the country and with the level of investor protection. These findings provide information for policy-makers to better understand important spillover effects of policy changes designed to enhance stock market liquidity.

Background: Geant4 is a Monte Carlo code extensively used in medical physics for a wide range of applications, such as dosimetry, micro- and nanodosimetry, imaging, radiation protection, and nuclear medicine. Geant4 is continuously evolving, so it is crucial to have a system that benchmarks this Monte Carlo code for medical physics against reference data and to perform regression testing. Aims: To respond to these needs, we developed G4-Med, a benchmarking and regression testing system of Geant4 for medical physics. Materials and Methods: G4-Med currently includes 18 tests. They range from the benchmarking of fundamental physics quantities to the testing of Monte Carlo simulation setups typical of medical physics applications. Both electromagnetic and hadronic physics processes and models within the prebuilt Geant4 physics lists are tested. The tests included in G4-Med are executed on the CERN computing infrastructure via the use of the geant-val web application, developed at CERN for Geant4 testing. The physical observables can be compared to reference data for benchmarking and to results of previous Geant4 versions for regression testing purposes. Results: This paper describes the tests included in G4-Med and shows the results derived from the benchmarking of Geant4 10.5 against reference data. Discussion: Our results indicate that the Geant4 electromagnetic physics constructor G4EmStandardPhysics_option4 gives a good agreement with the reference data for all the tests. The QGSP_BIC_HP physics list provided an overall adequate description of the physics involved in hadron therapy, including proton and carbon ion therapy. New tests should be included in the next stage of the project to extend the benchmarking to other physical quantities and application scenarios of interest for medical physics. Conclusion: The results presented and discussed in this paper will aid users in tailoring physics lists to their particular application.

Background: Geant4 is a Monte Carlo code extensively used in medical physics for a wide range of applications, such as dosimetry, micro- and nanodosimetry, imaging, radiation protection, and nuclear medicine. Geant4 is continuously evolving, so it is crucial to have a system that benchmarks this Monte Carlo code for medical physics against reference data and to perform regression testing. Aims: To respond to these needs, we developed G4-Med, a benchmarking and regression testing system of Geant4 for medical physics. Materials and Methods: G4-Med currently includes 18 tests. They range from the benchmarking of fundamental physics quantities to the testing of Monte Carlo simulation setups typical of medical physics applications. Both electromagnetic and hadronic physics processes and models within the prebuilt Geant4 physics lists are tested. The tests included in G4-Med are executed on the CERN computing infrastructure via the use of the geant-val web application, developed at CERN for Geant4 testing. The physical observables can be compared to reference data for benchmarking and to results of previous Geant4 versions for regression testing purposes. Results: This paper describes the tests included in G4-Med and shows the results derived from the benchmarking of Geant4 10.5 against reference data. Discussion: Our results indicate that the Geant4 electromagnetic physics constructor G4EmStandardPhysics_option4 gives a good agreement with the reference data for all the tests. The QGSP_BIC_HP physics list provided an overall adequate description of the physics involved in hadron therapy, including proton and carbon ion therapy. New tests should be included in the next stage of the project to extend the benchmarking to other physical quantities and application scenarios of interest for medical physics. Conclusion: The results presented and discussed in this paper will aid users in tailoring physics lists to their particular application.

This paper investigates the impact of climate change on the spatial distribution of agricultural production in Turkey between 2004 and 2019. Our findings show that climate change has a pervasive impact on agricultural development. The empirical results show that the average temperature is negatively associated with agricultural land use, grain, and legume production. Moreover, regional variability analyses reveal the nonmonotonic relationships between climatic factors and agricultural output. Climate change hurts agricultural production in northern and central regions the most. This finding points out the ineffectiveness of one-size-fits-all-type pol- icies for mitigating the adverse effects of climate change in topography with sizeable spatial dissimilarities. Over- all, our results suggest that climate change will significantly threaten the evolution of agricultural activities that are critical for regional development. In addition, findings show that spatial spillovers and heterogeneity will be crucial for designing climate change policies for rural and agricultural development.

This paper investigates the impact of climate change on the spatial distribution of agricultural production in Turkey between 2004 and 2019. Our findings show that climate change has a pervasive impact on agricultural development. The empirical results show that the average temperature is negatively associated with agricultural land use, grain, and legume production. Moreover, regional variability analyses reveal the nonmonotonic relationships between climatic factors and agricultural output. Climate change hurts agricultural production in northern and central regions the most. This finding points out the ineffectiveness of one-size-fits-all-type pol- icies for mitigating the adverse effects of climate change in topography with sizeable spatial dissimilarities. Over- all, our results suggest that climate change will significantly threaten the evolution of agricultural activities that are critical for regional development. In addition, findings show that spatial spillovers and heterogeneity will be crucial for designing climate change policies for rural and agricultural development.

Recently, poled Na₀.₅₀Bi₀.₅₀TiO₃‐BaTiO₃ (NBT‐BT)‐based polycrystalline materials have been characterized as possessing a high degree of poling‐induced domain texture in their remanent state. This finding is suggested to be the reason for their stable mechanical quality factor at high‐vibration velocity, making them promising candidates for high‐power applications. The materials in consideration are prone to self‐heating and thermal run‐away, particularly at slightly elevated temperatures. Therefore, this paper evaluates the temperature dependence of the poling‐induced domain texture of (Na₀.₄₇Bi₀.₄₇Ba₀.₀₆)TiO₃ (NBT‐6BT) doped with 0.5 mol% of Mg as compared to undoped NBT‐6BT. Its influence on small‐signal, large‐signal, and high‐power properties was investigated. To obtain a fundamental understanding of crystal structure, in‐situ synchrotron measurements were conducted as function of temperature to establish a relationship between structure and piezoelectric properties of both Mg‐doped and undoped NBT‐6BT materials.

Memory performance is a crucial bottleneck in many GPGPU applications, making optimizations for hardware and software mandatory. While hardware vendors already use highly efficient caching architectures, software engineers usually have to organize their data accordingly in order to efficiently make use of these, requiring deep knowledge of the actual hardware. In this paper we present a novel technique for fine‐grained memory profiling that simulates the whole pipeline of memory flow and finally accumulates profiling values in a way that the user retains information about the potential region in the GPU program by showing these values separately for each allocation. Our memory simulator turns out to outperform state‐of‐the‐art memory models of NVIDIA architectures by a magnitude of 2.4 for the L1 cache and 1.3 for the L2 cache, in terms of accuracy. Additionally, we find our technique of fine grained memory profiling a useful tool for memory optimizations, which we successfully show in case of ray tracing and machine learning applications.

Recently, poled Na₀.₅₀Bi₀.₅₀TiO₃‐BaTiO₃ (NBT‐BT)‐based polycrystalline materials have been characterized as possessing a high degree of poling‐induced domain texture in their remanent state. This finding is suggested to be the reason for their stable mechanical quality factor at high‐vibration velocity, making them promising candidates for high‐power applications. The materials in consideration are prone to self‐heating and thermal run‐away, particularly at slightly elevated temperatures. Therefore, this paper evaluates the temperature dependence of the poling‐induced domain texture of (Na₀.₄₇Bi₀.₄₇Ba₀.₀₆)TiO₃ (NBT‐6BT) doped with 0.5 mol% of Mg as compared to undoped NBT‐6BT. Its influence on small‐signal, large‐signal, and high‐power properties was investigated. To obtain a fundamental understanding of crystal structure, in‐situ synchrotron measurements were conducted as function of temperature to establish a relationship between structure and piezoelectric properties of both Mg‐doped and undoped NBT‐6BT materials.

Memory performance is a crucial bottleneck in many GPGPU applications, making optimizations for hardware and software mandatory. While hardware vendors already use highly efficient caching architectures, software engineers usually have to organize their data accordingly in order to efficiently make use of these, requiring deep knowledge of the actual hardware. In this paper we present a novel technique for fine‐grained memory profiling that simulates the whole pipeline of memory flow and finally accumulates profiling values in a way that the user retains information about the potential region in the GPU program by showing these values separately for each allocation. Our memory simulator turns out to outperform state‐of‐the‐art memory models of NVIDIA architectures by a magnitude of 2.4 for the L1 cache and 1.3 for the L2 cache, in terms of accuracy. Additionally, we find our technique of fine grained memory profiling a useful tool for memory optimizations, which we successfully show in case of ray tracing and machine learning applications.