Ryan V. Crawford, Jamie L. Crawford, Julie L. Hansen
et al.
Abstract This study evaluated near‐infrared spectroscopy (NIRS) for nondestructive crude protein (CP) prediction in hemp (Cannabis sativa L.) grain and validated the biological basis of spectral predictions. Note that 149 whole grain samples from 38 cultivars were collected from New York trials (2017–2021) and validated for CP by combustion. Seven preprocessing methods were tested using 100 training/testing splits, with standard normal variate transformation following Savitzky–Golay filtering selected as optimal. Comparing algorithms showed that partial least squares regression (PLSR) significantly outperformed support vector machines and random forest. The best preprocessing method and algorithm was applied to 1000 additional splits. Optimal models contained 12 components with mean performance of root mean square error [RMSE] = 9.94, r2 = 0.84, relative predicted deviation [RPD] = 2.5, and ratio of performance to interquartile distance [RPIQ] = 3.94. More than 99% of the models had, at minimum, the ability to distinguish between high and low values, with 93.2% capable of quantitative prediction. To validate biological relevance, a protein‐focused model was developed using three known protein absorption bands (1200–1250, 1500–1550, and 2040–2090 nm). These models had substantially reduced performance with 86% of models capable of distinguishing between high and low values but only 14% of models capable of quantitative prediction. However, this targeted approach offers evidence that NIRS predictions are biologically grounded in protein‐specific spectral features rather than spurious correlations. This research demonstrates the promise and biological validity of NIRS for hemp grain CP assessment, supporting applications in breeding programs, although applications demanding more accurate prediction will require better models.
Understanding how AI will represent and reason about geography should be a key concern for all of us, as the broader public increasingly interacts with spaces and places through these systems. Similarly, in line with the nature of foundation models, our own research often relies on pre-trained models. Hence, understanding what world AI systems construct is as important as evaluating their accuracy, including factual recall. To motivate the need for such studies, we provide three illustrative vignettes, i.e., exploratory probes, in the hope that they will spark lively discussions and follow-up work: (1) Do models form strong defaults, and how brittle are model outputs to minute syntactic variations? (2) Can distributional shifts resurface from the composition of individually benign tasks, e.g., when using AI systems to create personas? (3) Do we overlook deeper questions of understanding when solely focusing on the ability of systems to recall facts such as geographic principles?
Francesca Baldacchino, Whyjay Zheng, Kunpeng Wu
et al.
Glacier velocity is a sensitive indicator of mass balance and is key to understanding how glaciers respond to climate change. Monitoring glacier velocity at high temporal resolutions enables a better understanding of the drivers of glacier dynamics. Previous studies have found that the glaciers in High Mountain Asia (HMA) tend to slow down concomitant to losing mass at an accelerating rate on decadal timescales. However, few studies have explored seasonal variations in glacier velocities and have typically focused on large, fast-flowing glaciers. We select one debris-covered glacier, and four clean-ice glaciers in HMA. Sentinel-1 and -2 images are used to calculate the glacial velocities using the feature tracking module provided by the Cryosphere And Remote Sensing Toolkit (CARST). We develop a novel, regularised linear inverse model to extract the seasonally resolved glacial velocity time series (6-day intervals) with rigorous uncertainty estimates. Our results show that three of the five glaciers have strong seasonal signals in velocities, with faster velocities in spring and/or summer compared to winter. We also find an up-glacier propagation of the late spring and/or summer accelera-tions and a down-glacier propagation of the autumn accelerations. We suggest that changes in the subglacial hydrology efficiency drive the observed seasonal variations in velocities. We also highlight that icefalls may alter the glacier flow response by blocking the development of subglacial drainage channels and thus the seasonal propagation of velocities. Our methodol-ogy enables us to successfully extract seasonal signals in glaciers that flow slowly and provide a further understanding of glacier dynamics.
We study the behavior of toric Landau-Ginzburg models under extremal contraction and minimal model program. We also establish a relation between the moduli space of toric Landau-Ginzburg models and the geography of central models. We conjecture that there is a correspondence between extremal contractions and minimal model program on Fano varieties, and degenerations of their associated toric Landau-Ginzburg models written explicitly. We prove the conjectures for smooth toric varieties, as well as general smooth Fano varieties in dimensions 2 and 3. As an application, we compute the elementary syzygies for smooth Fano threefolds.
To study the rapid estimation method and characteristics of low-frequency ambient sea noise generated by far-field ships, firstly, based on the reciprocity principle of sound fields and the fact that the number of noise sources significantly exceeds the number of receiving array elements, the positions of noise sources and receiving array elements were swapped to effectively reduce the sound field estimates and the running time. Secondly, a vertical directionality analysis method for ambient noise generated by ship noise was derived. And lastly, the ambient sea noise generated by ship noise in the Philippine Sea was estimated and analyzed, and the validity of the estimation method was verified based on measured data in the region. The estimation method presented in this paper can be used to predict the level and directionality of ambient noise generated by ship noise in a large area of sea, and acts as technical support for the meaningful use of sonar arrays in the actual marine environment.
In 1825 a storm cut a new channel through Denmark's Limfjord, providing an exogenous shock to first-nature geography. Difference-in-differences estimates show the channel increased trade immediately and, within a generation, lifted population by 26.7 percent - an elasticity of 1.6 relative to the improved market access. Higher fertility and economic growth of new industries, not migration, drove the expansion. A mirror experiment - the waterway's closure circa 1086-1208 - caused symmetric declines in medieval coin and building finds, bolstering external validity. These results offer the first robust causal evidence that first-nature geomorphology shapes the location of economic activity.
Introduction. The present study is of a complex nature and is devoted to the assessment of the main directions of the development of auxology in Russian anthropology. To a large extent, this work is a continuation of the review of the activities of the laboratory of auxology of the Anuchin Research Institute and the Museum of Anthropology of Moscow State University [Godina, 2010]. At the same time, the main directions of work are considered and described in more detail not only directly by the auxology laboratory, but also by other working groups of the same Institute, the Department of Anthropology of the Faculty of Biology of Lomonosov Moscow State University, as well as other academic institutions. Materials and methods. Specifically, in this part of the work, articles devoted to the comprehensive assessment of the processes of growth and development of children from birth to 3 years old, which were published in the «Moscow University Anthropology Bulletin» from 2009 to 2022, were used as a source of information. Results and discussion. The studies conducted in this area affect a large number of aspects of physical development in infancy and early childhood – for example, factors influencing these processes (evolutionary, climatic, geographical, ethnic and genetic factors, constitutional features of mothers, circumstances of intrauterine growth) are analyzed on representative samples. Special attention should be paid to the work on the evaluation in comparative and secular aspects of growth processes and indicators of sexual dimorphism of children under 3 years of age in the countries of the former USSR. Conclusion. Despite the difficulties in working with a rather specific contingent, the fact that these works, together with the results obtained, lead us to conclude that this stage of ontogenesis is represented to a large extent in the works of domestic anthropologists, which allows us to use these data both in the field of interdisciplinary and interdepartmental research.
Introduction. This review is a continuation of the research devoted to the assessment of the development of auxology in Russian anthropology. The first part was devoted to a comprehensive assessment of the processes of growth and development of children from birth to 3 years old, living both in our country and in the countries of the near abroad. The analyzed sources describe factors influencing growth processes (evolutionary, climatic, geographical, ethnic and genetic factors, constitutional features of mothers, circumstances of intrauterine growth) [Permiakova, 2023]. This article examines and describes in more detail the main activities of auxologists, as well as physicians and psychologists working both within our country and in cooperation with foreign researchers from various academic institutions. Materials and methods. In this part of the work, the author analyzed articles devoted to the comprehensive assessment of physical development (as well as factors affecting it) of the school and student contingent living in Russia and some other countries. All these articles were published in Moscow University Anthropology Bulletin from 2009 to 2022. Results and discussion. Works in the designated area, on the one hand, analyze the physical development of children and youth of the Moscow region, on the other hand, assess the differences in the rates and dynamics of growth processes of residents of different regions of our country and abroad, including the secular aspect. In addition, representative samples are used to analyze socio-economic factors affecting these processes and determining the features of their course in a particular territory. Complex studies involving the relationship of somatic development indicators not only with socio-economic or environmental parameters, but also the psychological characteristics of the subjects are also important. Conclusion. The number of works devoted to the subject under study is quite numerous, which allows us to speak about the undiminished interest of domestic anthropologists in studying the problems of growth and development. The complex nature of most of them, among other things, indicates an integrative approach to solving the problems posed to this field of science. @ 2023. This work is licensed under a CC BY 4.0 license.
Accurately quantifying industry resilience is essential to devising effective recovery strategies. Previous research into industry resilience has either quantified the concept with single metrics aggregated across large geographies (e.g., visitation) or used metrics comparing the relative concentration of an industry within a region to the national average (e.g., location quotients). The former set of metrics prohibits spatially targeted recovery efforts while the latter fails during national crises. We propose the measurement of tourism and outdoor recreation industry resilience to COVID-19 based on growth rates in employment, wages, establishments—publicly accessible time-series data on all counties in the United States. We use these indicators to characterize the spatio-temporal patterns of industry resilience across the country. The indicators can serve as a useful reference for diagnosing and monitoring industry resilience as well as developing targeted policies, programs, and promotion efforts that facilitate more localized response efforts.
In 1950 the first successful numerical weather forecast was obtained by solving the barotropic vorticity equation using the Electronic Numerical Integrator and Computer (ENIAC), which marked the beginning of the age of numerical weather prediction. Here, we ask the question of how these numerical forecasts would have turned out, if machine learning based solvers had been used instead of standard numerical discretizations. Specifically, we recreate these numerical forecasts using physics-informed neural networks. We show that physics-informed neural networks provide an easier and more accurate methodology for solving meteorological equations on the sphere, as compared to the ENIAC solver.
Saikat Nandy, Scott H. Holan, Michael Schweinberger
Many models for spatial and spatio-temporal data assume that "near things are more related than distant things," which is known as the first law of geography. While geography may be important, it may not be all-important, for at least two reasons. First, technology helps bridge distance, so that regions separated by large distances may be more similar than would be expected based on geographical distance. Second, geographical, political, and social divisions can make neighboring regions dissimilar. We develop a flexible Bayesian approach for learning from spatial data which units are close in an unobserved socio-demographic space and hence which units are similar. As a by-product, the Bayesian approach helps quantify the relative importance of socio-demographic space relative to geographical space. To demonstrate the proposed approach, we present simulations along with an application to county-level data on median household income in the U.S. state of Florida.
The catalog of the collection of copies of fossil finds of the genus Homo, which is kept in the Museum of Anthropology of Moscow State University, is presented in this article. The publication will be useful for researchers to select research materials. Materials and methods. The documents of the archive of the Museum of Anthropology of MSU were used to work on the article. Analytical and chronological research methods were applied in the study. Results and discussion. Brief information on the history of the collection formation. The section contains data on the sources of replenishment of the collection, the names of the scientists who handed over the items are named. The collection of copies of fossil bones is divided into parts that combine items that came from the same source and at the same time. Catalog of collections. A short catalog of collections of copies of Homo finds of the Museum of Anthropology is presented in the table. The finds are listed in alphabetical order, the division into geographical regions and chronological periods was not carried out. Conclusion. The catalog of copies of finds of representatives of the genus Homo, stored in the Museum of Anthropology of MSU, is presented in this article. A catalog of finds of other systematic groups of the Primates order will be compiled and published in the near future. @ 2023. This work is licensed under a CC BY 4.0 license.
The traditional regional focus of evolutionary anthropology—typically defined as places where hominin fossils, nonhuman primates, and non‐western populations reside—forms the basis of much evolutionary anthropological research. Using the highly biodiverse temperate region of Appalachia as an example, we suggest that evolutionary anthropologists have much to gain by stepping outside of this traditional geographic area. Being purposely provocative, we argue that evolutionary anthropologists might also benefit from conducting research in Appalachia and other temperate ecosystems. We briefly discuss multiple areas of study—including studies of seed dispersal, functional redundancy, convergent evolution, human behavioral ecology, and conservation—and how they can be considered within the purview of integrative and evolutionary anthropology. We also highlight broader impacts to higher education that evolutionary anthropologists can help promote by working in local ecosystems.
Yuri N. Golubchikov, Alexey N. Gunya, Matthias Schmidt
Natural differences in the regional development of Russia are presented in many legislative acts dedicated to the Russian Far North. In contrast, the unique nature and complexity of mountainous and high-mountain territories are protected only by a few regional acts. The reason for this lies in the complexity and multicomponent criteria required for assigning these territories the status of protected areas and in the fact that their boundaries do not correspond with administrative boundaries. The main materials underlying the article are legal documents (regulations, laws, etc.) concerning the institutionalization of the northern and mountainous territories. A comparative analysis of regional policy in relation to mountainous and northern territories takes into account similar criteria, such as vegetation types and patterns, forest borders or crop frontiers. Almost two-thirds of the territory of Russia refers to the North and more than half of the territory is occupied by mountains. The first attempts to institutionalize the North were undertaken in the 1930s, while the programmes for the development of mountainous territories gained legal support only at the end of 20th century and only in some regions. The most important difference between the institutionalization of the North and the mountains is the fact that the state initiated the creation of special legal conditions for the North. In the case of the mountains, the initiator was the public, initially at the regional level. Currently, three constituent entities of the Russian Federation adopted laws on mountain areas, but so far there are no all-Russian laws. The main lobbyists are the North Caucasian regions, while the Siberian regions (with the exception of the Altai Republic) are rather passive in discussing mountain issues. The elaborated legislation for the North seems to be closely related to the potential and realised income from natural resource extraction. For this reason, corresponding legislation for the mountain regions is not expected particularly soon, due to the lack of legal resources. Efforts aimed to provide legal support for mechanisms that compensate the socio-economic discrepancies between mountainous areas and more developed “flat places” should take into account the experience of institutionalizing the Northern territories of the Russian Federation.