Hasil untuk "History (General)"

Liudmila V. Ponomarenko, Elena G. Zueva

The article commemorates the 100th anniversary of the birth of Patrice Emery Lumumba, a national hero of the Democratic Republic of the Congo (DRC), one of the most prominent leaders of the African anti-colonial movement, and the first Prime Minister of an independent country. In the late 1950s and early 1960s, his homeland became an arena for confrontation between the African liberation forces and the West, which was interested in maintaining its position in the mineral-rich country in Central Africa. In modern terms, as African countries strive to assert their sovereignty and security, strengthen their presence in the global economy and politics, it is crucial for them to rely on historical experience, taking into consideration the successes and failures of the period of struggle for independence and decolonization. Using the biographical method, the article undertakes a comprehensive analysis of the development of an individual’s life strategy as a social subject in interaction with society, examining how the environment and socio-cultural circumstances affect a person’s beliefs and behavior, and the subsequent manifestations of a unique and typical character. The research is grounded in a comprehensive examination of P. Lumumba’s speeches, correspondence, and published articles. Additionally, it draws upon annual collections of Belgian and Congolese documents on the situation in the country (1959-1961), published in Brussels. P. Lumumba’s personality was shaped by a specific system of the Belgian colonial administration. P. Lumumba was a highly intelligent individual hailing from a humble peasant background. He was a talented organizer and an excellent orator. Thanks to his natural abilities, hard work and self-education, he became one of the most respected politicians of the DRC on the eve of and in the first year of its independence. P. Lumumba founded a new political party, the Congolese National Movement, which was the only party to deviate from narrow ethnic interests. The main tenets of the program can be summarized as follows: the formation of an independent, unified, integral and indivisible Congo; the organization of the public sector, which controls the mining industry, to pursue an independent course in the economic field and in foreign policy; overcoming tribalism and regionalism; creating a just society without poverty and exploitation. In foreign policy, he focused on neutrality and Pan-Africanism. The article analyzes how, during the Cold War, such a radical policy and uncompromising stance of P. Lumumba turned the West and pro-Western forces inside the Congo against him, which caused a crisis in the country that led to the assassination of the Prime Minister. The different assessments of P. Lumumba’s activities primarily stem from the varying political positions of researchers and politicians, as well as from the contradictory worldview and the lack of formality of the politician’s own program.

Jinxiu Yi, Yan Jiang, Shasha Wang et al.

Consumption-led economic growth is crucial for enhancing economic resilience, improving social welfare, and fostering endogenous drivers for innovative development. The purpose of this study is to develop a novel multi-criteria evaluation framework to assess the level of consumption-led economic development in the Yangtze River Delta urban agglomeration. Initially, an evaluation system for consumption-led economic development is constructed across five dimensions: economic autonomy, demand structure, consumption level, consumption structure, and consumption environment. The evaluation framework based on the Vertical and Horizontal Scatter Degree and Entropy Method (VHSD-EM), is then applied to analyze the development level of consumption-led patterns in the core cities of the Yangtze River Delta in China from 2015 to 2021. The empirical results reveal significant disparities in consumption-led economic development among the cities. In 2021, Shanghai achieved the highest comprehensive score (7.83), followed by Hangzhou, Suzhou, Hefei, Ningbo, and Nanjing. The average score for the region was 7.37, suggesting that the Yangtze River Delta urban agglomeration is transitioning toward a consumption-led growth model, with some cities exhibiting characteristics of a high-mass consumption stage. However, the development stages vary across cities, reflecting differences in economic structure and policy focus. Finally, several recommendations are suggested based on the numerical analysis.

Adrien de Jarmy

The development of digital humanities has opened new perspectives in the history of Islam: whether dealing with thin or sometimes vast source corpora (such as Sīra, al-Tbarī, al-Dahabī, etc.), these tools allow us to approach texts much more effectively from a statistical perspective, in order to support more general hypotheses and move beyond case studies. Drawing on the work of a number of researchers as well as our own, we propose to study the potentialities and limitations posed by computer methods for the history of medieval Islam, keeping in mind that the conclusions may prove useful to researchers of other periods. We will particularly emphasize two tools: the construction and use of relational databases, and more recently, the tagging of sources, with the stated goal of addressing some of the problems posed by the previous method.

Xiang Dai, Sarvnaz Karimi, Nathan O'Callaghan

Electronic health records include information on patients' status and medical history, which could cover the history of diseases and disorders that could be hereditary. One important use of family history information is in precision health, where the goal is to keep the population healthy with preventative measures. Natural Language Processing (NLP) and machine learning techniques can assist with identifying information that could assist health professionals in identifying health risks before a condition is developed in their later years, saving lives and reducing healthcare costs. We survey the literature on the techniques from the NLP field that have been developed to utilise digital health records to identify risks of familial diseases. We highlight that rule-based methods are heavily investigated and are still actively used for family history extraction. Still, more recent efforts have been put into building neural models based on large-scale pre-trained language models. In addition to the areas where NLP has successfully been utilised, we also identify the areas where more research is needed to unlock the value of patients' records regarding data collection, task formulation and downstream applications.

Kana Kuraguchi, Kanon Fujimoto, Kosuke Taniguchi

Perceived cuteness motivates people to approach cute objects, but no evidence exists of unconscious approach behavior toward objects. Given the unconscious responses associated with cuteness perception, an unconscious drive to physically approach cute objects is likely to occur. However, approach behavior may or may not occur depending on whether or not the perceived cute object is an adult, a baby, or a non-human. In this study, we recruited 24 participants and conducted a correlation study between cuteness ratings and body sway to examine whether or not the approach response is dependent on perceived cuteness. Results showed that the approach or avoidance response to cute objects was observed only in women. For babies, the approach response occurred regardless of the degree of cuteness, but for adult female faces, the cuter the face, the more the avoidance response occurred. For non-human images, the cuter the image, the more the approach response occurred only in early period of observation time. These results suggest that cuteness perception controls physical distance differently depending on the target of evaluation.

Marc Hellmuth, Peter F. Stadler

Most genes are part of larger families of evolutionary related genes. The history of gene families typically involves duplications and losses of genes as well as horizontal transfers into other organisms. The reconstruction of detailed gene family histories, i.e., the precise dating of evolutionary events relative to phylogenetic tree of the underlying species has remained a challenging topic despite their importance as a basis for detailed investigations into adaptation and functional evolution of individual members of the gene family. The identification of orthologs, moreover, is a particularly important subproblem of the more general setting considered here. In the last few years, an extensive body of mathematical results has appeared that tightly links orthology, a formal notion of best matches among genes, and horizontal gene transfer. The purpose of this chapter is the broadly outline some of the key mathematical insights and to discuss their implication for practical applications. In particular, we focus on tree-free methods, i.e., methods to infer orthology or horizontal gene transfer as well as gene trees, species trees and reconciliations between them without using \emph{a priori} knowledge of the underlying trees or statistical models for the inference of phylogenetic trees. Instead, the initial step aims to extract binary relations among genes.

Javier Montenegro, Allen G. Collins, Russell R. Hopcroft et al.

IntroductionBotrynema, a genus of medusozoans in the trachyline family Halicreatidae, currently contains two species: B. brucei and B. ellinorae, distinguished by the presence or absence, respectively, of an apical knob as a diagnostic character. However, no study has corroborated if these taxonomic diagnoses have a biological and evolutionary basis. Therefore, in this study we attempted to address the question “do the two nominal species in the genus Botrynema represent independent phylogenetic lineages, or two phenotypic variants of a single species?MethodsIn this study we took advantage of legacy collections from different research expeditions across the globe from 2000 to 2021 to study the phylogenetics and taxonomy of the genus Botrynema.ResultsB. brucei and B. ellinorae present partially overlapping vertical distributions in the Arctic and as a whole in the Arctic the genus seems to be limited to the Atlantic water masses. The phylogenetic reconstruction based on the concatenated alignment corroborates the validity of the family Halicreatidae and of genus Botrynema as monophyletic groups. However no clear differentiation was found between the two presently accepted species, B. ellinorae and B. brucei.DiscussionBased on the evidence we gathered, we conclude that while the genus Botrynema does contain at least two species lineages, these lineages are not concordant with current species definitions. The species B. ellinorae is reassigned as a subspecies of B. brucei and diagnostic characters are provided.

O. M. Perminova, N. P. Ustinova, E. A. Trefilova

Today one of the most strategically important directions of improvement of the activity of educational institutions becomes the implementing of technology of mentoring in the educational system. The need for mentoring is due to the fact that rapid changes in the education system, transformation of organizational processes require that all participants of educational relations flexible and instant reaction. Mentoring allows to connect professional development, resistance to change, the formation of new competencies, as well as mutual social exchange in an integrated approach to each participant of the educational process. Despite discussions of scholars and practitioners concerning mentoring problems, there is no single methodological approach to the organization of mentoring system in an educational institution of higher education as a unit of innovative educational system. The article analyzes the history of development, principles and types of mentoring, reveals the content of mentoring system; presents the results of the author’s research and suggests a mechanism for organizing a mentoring system in an educational institution of higher education. As a tool for the development of the mentoring system at the university, it is proposed to create a community – a club for the development of meta-skills within the educational institution.

Burigede Liu, Eric Ocegueda, Margaret Trautner et al.

This paper concerns the study of history dependent phenomena in heterogeneous materials in a two-scale setting where the material is specified at a fine microscopic scale of heterogeneities that is much smaller than the coarse macroscopic scale of application. We specifically study a polycrystalline medium where each grain is governed by crystal plasticity while the solid is subjected to macroscopic dynamic loads. The theory of homogenization allows us to solve the macroscale problem directly with a constitutive relation that is defined implicitly by the solution of the microscale problem. However, the homogenization leads to a highly complex history dependence at the macroscale, one that can be quite different from that at the microscale. In this paper, we examine the use of machine-learning, and especially deep neural networks, to harness data generated by repeatedly solving the finer scale model to: (i) gain insights into the history dependence and the macroscopic internal variables that govern the overall response; and (ii) to create a computationally efficient surrogate of its solution operator, that can directly be used at the coarser scale with no further modeling. We do so by introducing a recurrent neural operator (RNO), and show that: (i) the architecture and the learned internal variables can provide insight into the physics of the macroscopic problem; and (ii) that the RNO can provide multiscale, specifically FE2, accuracy at a cost comparable to a conventional empirical constitutive relation.

Aviv Keren

Objects are a centerpiece of the mathematical realm and our interaction with and reasoning about it, just as they are of the physical one (if not more). And humans' mathematical reasoning must ultimately be grounded in our general intelligence. Yet in contemporary cognitive science and A.I., the physical and mathematical domains are customarily explored separately, which allows for baking in assumptions for what objects are for the system - and missing potential connections. In this paper, I put the issue into its philosophical and cognitive context. I then describe an abstract theoretical framework for learning object representations, that makes room for mathematical objects on par with non-mathematical ones. Finally, I describe a case study that builds on that view to show how our general ability for integrating different aspects of objects effects our conception of the natural numbers.

Hun Jun Ha, Ho Kyung Ha

Erosion of cohesive sediments is a ubiquitous phenomenon in estuarine and intertidal environments. Several methods have been proposed to determine the surface erosion threshold (τc0), which are still debatable because of the numerous and uncertain definitions. Based on erosion microcosm experiments, we have compared three different methods using (1) eroded mass (EM), (2) erosion rate (ER), and (3) suspended sediment concentration (SSC), and suggested a suitable method for revealing the variation of erodibility in intertidal sediments. Erosion experiments using a microcosm system were carried out in the Muuido tidal flat, west coast of South Korea. The mean values of τc0 for three methods were: 0.20 ± 0.08 Pa (EM); 0.18 ± 0.07 Pa (ER); and (3) 0.17 ± 0.09 Pa (SSC). The SSC method yielded the lowest τc0, due to the outflow of suspended sediment from the erosion chamber of the microcosm. This was because SSC gradually decreased with time after depleting the erodible sediment at a given bed shear stress (τb). Therefore, the regression between SSC and applied τb might skew an x-intercept, resulting in the underestimation (or “not-determined”) of τc0. The EM method yielded robust and accurate (within the range of τb step at which erosion begins) results. The EM method represents how the erodible depth thickens as τb increases and therefore seems better suited than the SSC and ER methods for representing depth-limited erosion of cohesive sediments. Furthermore, this study identified the spatiotemporal variations of τc0 by EM method in an intertidal flat. The τc0 in mud flat was about two times higher than that in mixed flat. Compared to the end of tidal emersion, the sediment was 10–40% more erodible at the beginning stage.

David L. Nidever, Knut Olsen, Yumi Choi et al.

The Large and Small Magellanic Clouds (LMC and SMC) are the largest satellite galaxies of the Milky Way and close enough to allow for a detailed exploration of their structure and formation history. The Survey of the MAgellanic Stellar History (SMASH) is a community Dark Energy Camera (DECam) survey of the Magellanic Clouds using $\sim$50 nights to sample over $\sim$2400 deg$^2$ centered on the Clouds at $\sim$20% filling factor (but with contiguous coverage in the central regions) and to depths of $\sim$24th mag in $ugriz$. The primary goals of SMASH are to map out the extended stellar peripheries of the Clouds and uncover their complicated interaction and accretion history as well as to derive spatially-resolved star formation histories of the central regions and create a "movie" of their past star formation. Here we announce the second SMASH public data release (DR2), which contains all 197 fully-calibrated DECam fields including the main body fields in the central regions. The DR2 data are available through the Astro Data Lab hosted by the NSF's National Optical-Infrared Astronomy Research Laboratory. We highlight three science cases that make use of the SMASH DR2 data and will be published in the future: (1) preliminary star formation histories of the LMC; (2) the search for Magellanic star clusters using citizen scientists; and, (3) photometric metallicities of Magellanic Cloud stars using the DECam $u$-band.

Timothy D. Andersen

The problem of how to interpret quantum mechanics has persisted for a century. The disconnect between the wavefunction state vector and what is observed in experimental apparati has had no shortage of explanations. But all explanations so far fall short of a compelling and complete interpretation. In this letter, I present a novel interpretation called dynamic histories. I show mathematically how quantum mechanics can be reinterpreted as deterministically evolving dynamical world lines in a 5D universe. Quantum probabilities can be then be reinterpreted as stemming from ignorance of the state of our own world line. Meanwhile, the lack of observed superposition in experimental apparati is explained in that we only live on a single history with a definite set of properties. Hence, superposition is not an actual state of a particle but a model of ignorance as in classical probability theory. This explains nonlocal effects without superluminal communication. I also discuss how this relates to 5D Kaluza-Klein theory.

Saeed Soori, Bugra Can, Mert Gurbuzbalaba et al.

ASYNC is a framework that supports the implementation of asynchrony and history for optimization methods on distributed computing platforms. The popularity of asynchronous optimization methods has increased in distributed machine learning. However, their applicability and practical experimentation on distributed systems are limited because current bulk-processing cloud engines do not provide a robust support for asynchrony and history. With introducing three main modules and bookkeeping system-specific and application parameters, ASYNC provides practitioners with a framework to implement asynchronous machine learning methods. To demonstrate ease-of-implementation in ASYNC, the synchronous and asynchronous variants of two well-known optimization methods, stochastic gradient descent and SAGA, are demonstrated in ASYNC.

YUAN Minghao, ZHANG Wenyu, ZOU Ning et al.

Objective To explore the risk factors of pulmonary infection in patients with acute cerebral infarction. Methods We retrospectively reviewed the clinical data of 417 patients admitted for acute cerebral infarction in our hospital between April and December, 2017. We compared the data between the patients with and without pulmonary infection, and analyzed the risk factors for pulmonary infection following acute cerebral infarction using multiple logistic regression analysis. Results There were significant differences in age, gender, length of hospital stay, smoking, history of previous lung disease, coronary heart disease, hyperlipidemia, dysphagia, consciousness disturbance at admission, complete bed rest, invasive operation, National Institutes of Health Stroke Scale (NIHSS) score and Modified Rankin Scale (MRS) score at admission between the pulmonary infection group(n=92) and the non-pulmonary infection group(n=325) (P < 0.05). Multiple logistic regression analysis suggested that NIHSS score>14 at admission, age>65 years, invasive operation, and complete bed rest were risk factors for pulmonary infection in patients with acute cerebral infarction(OR=5.410, 2.714, 21.823, 3.013, 95%CI:1.835~15.953, 1.257~5.587, 10.265~46.393, 1.365~6.651, all P < 0.05). Conclusion NIHSS score at admission, age, invasive operation and complete bed rest may be regarded as reference indexes in the prevention and treatment of pulmonary infection after acute cerebral infarction.

Jian Yuan, Guozhong Xiu, Bao Shi et al.

Hereditary effects of exponentially damped oscillators with past histories are considered in this paper. Nonviscously damped oscillators involve hereditary damping forces which depend on time-histories of vibrating motions via convolution integrals over exponentially decaying functions. As a result, this kind of oscillators are said to have memory. In this work, initialization for nonviscously damped oscillators is firstly proposed. Unlike the classical viscously damped ones, information of the past history of response velocity is necessary to fully determine the dynamic behaviors of nonviscously damped oscillators. Then, initialization response of exponentially damped oscillators is obtained to characterize the hereditary effects on the dynamic response. At last, stability of initialization response is proved and the hereditary effects are shown to gradually recede with increasing of time.

S.N. Blinjaev, O.N. Shirokov

Based on the archival materials of fund no. 82 of the State Historical Archive of the Chuvash Republic, the prerequisites for introduction, implementation, and consequences of the dry law during the mobilization in the course of the World War I have been studied. The problem under our consideration is highly relevant, because the dry law seriously influenced the social and financial aspects of life during the war period. The novelty of the research is that there are no scientific publications or materials in the regional historiography where the problem is considered in this perspective. We have carried out a review of the studies performed by Soviet, Russian, including the regional ones, historiographers, as well as of the archival sources. The policy of local authorities on implementation of the dry law and other direction of the state powers, its consequences in the context of the historical events that took place in the Russian Empire have been analyzed. The obtained results allowed us to make the following conclusions: the well-developed anti-alcohol movement and the adopted orders and circulars have made it possible to introduce the dry law in the entire territory of the Kazan governorate and Chuvashia, particularly during the period of mobilization, and its implementation was accompanied by rather gentle measures for alcohol prohibition.

John Hawks

Human populations have a complex history of introgression and of changing population size. Human genetic variation has been affected by both these processes, so that inference of past population size depends upon the pattern of gene flow and introgression among past populations. One remarkable aspect of human population history as inferred from genetics is a consistent "wave" of larger effective population size, prior to the bottlenecks and expansions of the last 100,000 years. Here I carry out a series of simulations to investigate how introgression and gene flow from genetically divergent ancestral populations affect the inference of ancestral effective population size. Both introgression and gene flow from an extinct, genetically divergent population consistently produce a wave in the history of inferred effective population size. The time and amplitude of the wave reflect the time of origin of the genetically divergent ancestral populations and the strength of introgression or gene flow. These results demonstrate that even small fractions of introgression or gene flow from ancient populations may have large effects on the inference of effective population size.

Síofra McSherry

This paper focuses on material and financial gifts received by the American modernist poet Marianne Moore (1887-1972) under the auspices of patronage. Extrapolated from Moore’s letters, archival ephemera, and the work of her biographers, Moore’s main patronage relationships are analyzed as gift exchange cycles encompassing financial support, material gifts, and the writing produced by the poet. The reading draws from ethnographic literature on the gift economy in the tradition of Marcel Mauss, Claude Lévi-Strauss, and Lewis Hyde. After a brief outline of the role of the patron in the avant-garde circles of the early 1920s, Moore's interactions with several key benefactors are examined: Scofield Thayer, James Sibley Watson Jr., and Bryher. The paper aims to demonstrate first, how patronage may be considered a gift economy, outlining the effects and functions of such a system, and second, how such a reading may assist in the interpretation of patronage interactions.

Daniele Jallà, Michela di Macco, Giuliano Volpe et al.

Resoconto del Dibattito seguito alla prima sessione del convegno dal titolo: La Convenzione di Faro e la tradizione culturale italiana