bluuebunny/crossref_metadata_2025 huggingface dataset:
Microlithic variation and the Mesolithic occupations of western India
Authors: Gadekar Charusmita , García-Granero Juan José , Madella Marco , Ajithprasad P.
Published: June 2022

Considerable confusion and uncertainty persist on the cultural and chronological contexts of Holocene microlithic assemblages reported from South Asia. The paucity of securely dated sites with microlithic remains has compounded the confusion. Evidence from sites securely attributed to the Mesolithic based on a holistic approach (including direct evidence of plant and animal exploitation strategies) is needed to provide a better understanding of Mesolithic lithic tool-kits. This study uses morphometric and statistical methods to assess the nature of the Holocene hunter-gatherer microlithic tools-kit from a radiometrically secured chronological context at Vaharvo Timbo, a recently excavated Mesolithic site in North Gujarat (India). The assemblage is further compared with the nearby contemporary site of Loteshwar to highlight similarities and differences within hunter-gatherer lithic assemblages, understanding which can provide detailed information about subsistence strategies as well as patterns of settlement and mobility. The results show general standardisation between these two sites regarding raw materials and manufacturing technique but variation in the relative abundance of tool types between these two sites, despite their close proximity, indicating diverse strategies of resource exploitation by the Holocene hunter-gatherer groups in western India.
Study on distribution characteristic of tourism attractions in international cultural tourism demonstration region in South Anhui in China
Authors: Xu Jing , Wang Pengfei
Published: June 2022

Taking data of tourism attractions in international cultural tourism demonstration region in South Anhui in China, this study summarized the distribution characteristics of tourism attractions in region by applying GIS spatial analysis method such as nearest neighbor distance index and kernel density estimation method, and explored how natural conditions, urban infrastructure, social and economic development affect the distribution in order to better understand the distribution of regional tourism resources and serve the direction of tourism development. The study found that the tourist attractions in the demonstration area have a significant agglomeration on the whole, with Huangshan City as the main center and other districts and counties as the sub centers, presenting the trend of hierarchical development. In different kinds of tourism attractions, the distribution of natural tourism attractions and rural pastoral tourism attractions highly related to the topography. And the distribution of modern recreational tourism attractions and humanistic tourism attractions is closely related to hydrology. In terms of urban infrastructure, modern recreational tourism attractions hold the best accessibility with transportation. The core area of the demonstration region include Huangshan City, Chizhou city and Xuancheng city has better tourist industry development. Tourist attractions in other areas are relatively scarce, but the hold great potential for development in the future.
Open-source low-cost design of a buoy for remote water quality monitoring in fish farming
Authors: Medina Juan D. , Arias Alejandro , Triana Juan M. , Giraldo Luis F. , Segura-Quijano Fredy , Gonzalez-Mancera Andres , Zambrano Andres F. , Quimbayo Julián , Castillo Eduardo
Published: June 2022

In this paper we present the design of an open-source and low-cost buoy prototype for remote monitoring of water quality variables in fish farming. The designed battery-powered system periodically measures temperature, pH and dissolved oxygen, transmitting the information locally through a low-power wide-area network protocol to a gateway connected to a cloud service for data storage and visualization. We provide a novel buoy design that can be easily constructed with off-the-shelf materials, delivering a stable anchored float for the IoT device and the probes immersed in the water pond. The prototype was tested at an operating fish farm, showing promising results for a low-cost remote monitoring tool that enables automatic data acquisition and storage in fish farming scenarios. All the elements of this design, including hardware and software designs, are freely available under permissive licenses as an open-source project.
Investigating supply chain challenges of public sector agriculture development projects in Bangladesh: An application of modified Delphi-BWM-ISM approach
Authors: Khan Md. Raquibuzzaman , Alam Mohammad Jahangir , Tabassum Nazia , Burton Michael , Khan Niaz Ahmed
Published: June 2022

This study aims to investigate the supply chain challenges of public sector agriculture development projects in Bangladesh using the modified Delphi, Best Worst Method (BWM), and Interpretive Structural Modelling (ISM) methods. Based on these three widely acclaimed statistical techniques, the study identified, ranked, and identified interrelationships among the challenges. The study is unique not only in terms of research findings, but also in terms of methodology, as it is the first to use the three MCDM (Multicriteria Decision Making) tools to examine supply chain issues in public sector agriculture development projects in a developing country context. A literature review and two modified Delphi rounds with 15 industry experts’ opinions were applied to identify and validate a list of 11 key supply chain challenges. To determine the priority of the challenges, a panel of eight industry experts was consulted, and their responses were analysed using the BWM. Then, another group of 10 experts was consulted using ISM to investigate the contextual relationships among the challenges, resulting in a five-layered Interpretive Structural Model (ISM) and MICMAC (cross-impact matrix multiplication applied to classification) analysis of the challenges. According to relative importance (global weights), "improper procurement planning (0.213), "delay in project initiation (0.177), "demand forecasting error (0.146)", "lack of contract monitoring mechanism (0.097)", and "lack of competent staff (0.095)" are the top five ranked key challenges that have a significant impact on the project supply chain. Regarding contextual relationships, the ISM model and ISM-MICMAC analysis identified the "political influence" challenge as the most influential, and also independent of the other challenges. The findings are critical for project managers in managing challenges because understanding both relative importance and contextual relationships are required to address the challenges holistically. Additionally, these findings will benefit policymakers, academics, and future researchers.
Environmental barriers matter from the early stages of functional decline among older adults in France
Authors: Laborde Caroline , Ankri Joël , Cambois Emmanuelle
Published: June 2022

Background

The adaptation of living environments can preserve functional independence among older people. A few studies have suggested that this would only benefit the most impaired. But conceptual models theorize that environmental pressure gradually increases with functional decline.

Objectives

We examined (1) how far different environmental barriers increased difficulties and favoured resort to assistance; (2) at what stage in functional decline environmental barriers begin to matter.

Methods

We used the French cross-sectional survey CARE (2015), including 7,451 participants (60+) with at least one severe functional limitation (FL). Multinomial logistic regressions models were used to compare predicted probabilities for outdoor activities of daily living (OADL) difficulties (no OADL difficulties; difficulties but without assistance; use of assistance) among individuals with and without environmental barriers (self-reported or objective), in relation to the number of FLs.

Results

Poor-quality pedestrian areas and lack of places to rest were associated with a higher probability of experiencing OADL difficulties, whatever the number of FLs; the association increased with the number of FLs. Up to 6 FLs, individuals with these barriers were more likely to report difficulties without resorting to assistance, with a decreasing association. Living in cities/towns with high diversity of food outlets was associated with a lower probability of reporting assistance, whatever the number of FLs, but with a decreasing association.

Discussion

Overall, the results suggest that environmental barriers increasingly contribute to OADL difficulties with the number of FLs. Conclusions differed as to whether they tended to favour resort to assistance, but there was a clear association with food outlets, which decreased with impairment severity. The adaptation of living environments could reduce difficulties in performing activities from the early stages of decline to the most severe impairment. However, the most deteriorated functional impairments seem to generate resort to assistance whatever the quality of the environment.
Forecasting two-horse races in new democracies: Accuracy, precision and error
Authors: Bunker Kenneth
Published: June 2022

The purpose of this article is to explore electoral forecasting in two-horse races in new democracies. Specifically, it applies a Bayesian dynamic linear model (coined the Two-Stage Model, TSM) to look at the 2020 Chilean two-question national plebiscite. The ultimate objective is to test the TSM in terms of accuracy (how close the forecast is to the election results), precision (how close the forecast is to other methods of prediction) and error (how the forecast deviates from perfect accuracy/precision). The article finds that while the TSM does appear to be a stable estimator, its accuracy and precision is affected under certain conditions. Using the difference in the results for each of the two questions, the article discusses how sharp and unexpected shifts in electoral preferences can affect forecasts.
The Role of the Economy, Security and Party Leader Acceptance in Forecasting the 2020 General Election in Jamaica
Authors: Charles Christopher A. D. , Dempster Dalkeith , Welcome Trevaun
Published: June 2022

Three econometric models were built between January and March 2020 to predict the September 3, 2020 General Election in Jamaica. These are the economics and security model (model1), the economics and security model with JLP leader acceptance (model 2), and the economics and security model with PNP leader acceptance (model 3). All three models accurately predicted a win for the Jamaica Labour Party. A Jack-knife resampling was performed for cross validation. These models show how the macro-economy, security concerns and party leader popularity influence election outcomes, with similar findings in the literature. However, there are peculiarities in the Anglophone Caribbean because the
Jamaican voters respond to economic and security concerns in different ways than the voters in the global north. For example, increases in the debt to GDP ratio and the homicide rate predicted a JLP win. This work should be replicated in the Caribbean and Latin America using panel data.
Conservar y disponibilizar treinta años de opinión pública: lecciones aprendidas del caso uruguayo
Authors: Álvarez Eliana , Bogliaccini Juan , Opertti Martín , Queirolo Velasco Rosario
Published: June 2022

América Latina tiene una larga trayectoria de estudios de opinión pública; las encuestas son una herramienta utilizada de forma frecuente para conocer las opiniones, actitudes y comportamientos de los ciudadanos. Sin embargo, a menudo éstos se mantienen privados, siendo inaccesibles para investigadores y tomadores de decisiones. Asimismo, las consultoras responsables enfrentan desafíos particulares para hacer disponibles los datos. Esta nota muestra un posible camino. En él describimos la experiencia del Laboratorio de Opinión Pública y Redes Sociales (LOPReS) de Uruguay, un ejemplo de interseccionalidad entre academia, sector privado y financiamiento público, que permitió la liberación de más de 200 encuestas de opinión pública realizadas entre 1993 y 2020. Asimismo,
reflexionamos sobre tres importantes lecciones aprendidas a partir del proyecto: la relevancia de la construcción de vínculos de confianza, la generación de incentivos para la colaboración y la importancia del financiamiento. El caso sirve de ejemplo para analizar estrategias que permitan la apertura de información, con la participación de diversos actores trabajando de forma colaborativa y sus oportunidades para la investigación.
LA MEDIAZIONE CIVILE E COMMERCIALE E LE NOVITÀ DELLA LEGGE DELEGA N. 206 DEL 2021
Authors: Rumi Tiziana
Published: June 2022

Tra gli strumenti ADR non aggiudicativi un ruolo di primo piano è ricoperto dalla mediazione civile e commerciale. Nell’ordinamento italiano questo istituto è stato introdotto nel 2010, per attuare la direttiva europea n. 52 del 2008 ed è stato riformato dal Decreto del Fare (d. Lgs. 69/2013) nel tentativo di renderlo più appetibile. Nonostante questo intervento normativo, a distanza di dieci anni, l’istituto della mediazione in Italia riceve ancora una scarsa applicazione ed è per questo che il legislatore, nel quadro di una più ampia riforma del processo civile,che guarda agli strumenti alternativi come strumenti complementari di composizione dei conflitti ha, con la legge delega 206 del 2021, introdotto nuovi incentivi fiscali, per la mediazione.
ADMINISTRAÇÃO PÚBLICA DIGITAL E A IMPLEMENTAÇÃO DOS OBJETIVOS DO DESENVOLVIMENTO SUSTENTÁVEL
Authors: López Valle Vivian Lima , Cabral Rodrigo Maciel
Published: June 2022

Este trabalho tem como objetivo analisar se a implementação de iniciativas de digitalização da Administração Pública pode contribuir com o atingimento das metas propostas pelos Objetivos do Desenvolvimento Sustentável. Utilizando-se do método hipotético-dedutivo e análise documental de bibliografia nacional e estrangeira, apresenta-se a conjuntura trazida pela 4ª Revolução Industrial, em que a Inteligência Artificial e outras inovações disruptivas transformam tanto a vida cotidiana da sociedade, quanto as instituições do Estado. Os Objetivos do Desenvolvimento Sustentável foram criados já no contexto de desenvolvimento tecnológico desenfreado, sem dar papel de destaque à tecnologia em seu texto principal. Entretanto, a tecnologia se tornou um instrumento apto a auxiliar os Estados no atingimento das metas propostas, tendo em vista que traz impactos às esferas mais variadas. Entretanto, desenvolver a Administração Pública Digital é crucial para transformação da gestão pública, passando por um processo de adaptação interno (compreensão e absorção das tecnologias em sua estrutura) e externo (inclusão digital da sociedade). As iniciativas de digitalização da Administração Pública são muitas, desde robôs no controle das licitações até utilização de tecnologias na saúde pública. Ainda que tais iniciativas não contribuam especificamente com os indicadores propostos para que o ODS seja dado como produzido, a utilização de inovações tecnológicas pela Administração Pública contribui com o desenvolvimento sustentável.
DAS DECISÕES MANIPULATIVAS: UM OLHAR CRÍTICO AO PAPEL CRIATIVO DOS TRIBUNAIS FRENTE AO ATIVISMO JUDICIÁRIO
Authors: Oliveira Volante Joaquim Pedro de , Scremin Neto Ferdinando , Smolarek Dias Bruno
Published: June 2022

No presente artigo busca-se compreender, por meio de análise doutrinária, jurisprudencial e legal, o papel ultrapassado do Tribunal Constitucional como Legislador negativo, no âmbito de recentes decisões manipulativas, uma vez que o Supremo Tribunal Federal, além de exercer o papel de legislador negativo, também exerce atividade hermenêutica da Lei, podendo adicionar, substituir ou retrair parte do texto de lei visando a conformação constitucional.  Será analisado, a partir da doutrina, a linha tênue entre a decisão manipulativa e o ativismo judicial, a partir da fundamentação da decisão manipulativa, demonstrando uma brecha potencialmente danosa ao Estado Democrático de Direito.
SUPREMO TRIBUNAL FEDERAL E A FUNÇÃO ILUMINISTA DOS TRIBUNAIS: A QUESTÃO DOS DESACORDOS MORAIS RAZOÁVEIS NA ARENA POLÍTICA
Authors: Peteno Magnusson Leonardo , Gaioski Pagani Lucas Augusto , Moreira de Paula Jônatas Luiz
Published: June 2022

O presente artigo tem por objetivo discorrer sobre qual é a natureza da função iluminista dos tribunais, desenvolvida pelo Ministro Luís Roberto Barroso, e como ela se relaciona com o Ativismo Judicial, fenômeno hermenêutico esse que, na decisão judicial, o magistrado, a revelia da legalidade vigente, decide conforme sua ideologia ou senso de justiça. O método utilizado no presente artigo é o dedutivo, além de uma pesquisa doutrinária e jurisprudencial sobre o tema, demonstrando, tanto na teoria, quanto na prática, os efeitos práticos do ativismo judicial. Descreve-se o que vem a ser um backlash institucional, o que é uma arena política e o que são desacordos morais razoáveis e porque eles devem ser resolvidos na seara política e não na seara processual. A conclusão do artigo demonstra que essa função iluminista causa insegurança jurídica, desestabilizando a separação de poderes, minando o princípio da autodeterminação dos povos, característicos de uma democracia.
Trayectoria de la institucionalización de la educación ambiental en la educación superior en México
Authors: Bravo Maria Teresa
Published: June 2022

Se presenta un esbozo de la trayectoria que ha seguido la educación ambiental en México en el intento de institucionalizarla en las instituciones de educación superior. Se desarrollan los aspectos destacados en tres momentos diferentes desde los años setenta del siglo pasado hasta la actualidad. Se destacan las acciones fundamentales y las diferentes concepciones teóricas emanadas en este proceso.
Detection of Anal Intraepithelial Neoplasia and Anal Squamous Cell Carcinoma on Colonoscopy
Authors: Voss Jordan K. , Kurdi Ahmed T. , Neto Manuel Braga , Wang Xiao Jing , Chedid Victor G.
Published: June 2022

The purpose of this case series is to review the endoscopic detection of anal intraepithelial neoplasia and anal squamous cell carcinoma including the role of rectal retroflexion and narrow-band imaging. Four cases of anal intraepithelial neoplasia were incidentally discovered in women aged 55–71 years. Anal lesions identified included sessile polyps, nodular mucosa, and circumferential polyps. A fifth patient, who presented with abdominal pain, was found to have a 3 cm anal squamous cell carcinoma on diagnostic colonoscopy, despite a negative colonoscopy 21 months earlier. In the absence of contraindications, retroflexion should be performed on all patients. Suspicious anal mucosa warrants biopsy.
Fistula Between a Primary Sigmoid Large B-Cell Lymphoma and an Ovarian Teratoma
Authors: Accardo Caterina , Ardu Massimiliano , Di Candido Francesca , Epifani Gabriele , Cassini Diletta , Bono Francesca , Baldazzi Gianandrea
Published: June 2022

Primary colorectal lymphoma is a rare neoplasm. We report the case of a fistula between a diffuse large B-cell lymphoma of the sigmoid colon and an ovarian teratoma. An emergent laparotomy for an acute abdomen in a 90-year-old woman was performed. A pelvic mass of 12 × 9 cm fistulized in the left colon was found with the presence of gas and free liquid within the abdomen. This is an extremely rare condition, and as far as we know, no cases of a fistula between a large B-cell colonic lymphoma and an ovarian teratoma are present in the literature.
Educational Methods and Their Evidence in Islamic Law and Educational Psychology
Authors:   Department of Religious Education, Faculty of Education, Koya University, Kurdistan Region, Iraq, Rashed Arazw N. , Braiem Hemin A. , Ismail Azad A. ,   Department of Religious Education, Faculty of Education, Koya University, Kurdistan Region, Iraq,   Department of Clinical Psychology, Faculty of Science and Health, Koya University, Kurdistan Region, Iraq
Published: June 2022

Education in Islam is not only worldly, as is the case with contemporary education theories and philosophies, but it includes all aspects of doctrinal, devotional, moral, mental, and otherworldly aspects. As for the spiritual, knowledge alone is not sufficient to follow the path of goodness and righteousness and to achieve happiness, the soul must be educated with struggle, reminder, advice, encouragement and intimidation. The Islamic Sharia includes a valuable, high-level educational system whose vocabulary harmonizes in a coherent unit, socially, psychologically, and morally. The researcher is devoted to studying "educational means in Islamic law compared to theories of contemporary educational philosophies. The research refers to the legal intentions of education in Islamic law and the jurisprudential rules related to educational methods.
The Geopolitical Impact of Kurdistan Region Natural Gas A Research About Geopolitics
Authors:   Department of Geography, Faculty of Education, Koya University, Kurdistan Region, Iraq, Ali Yadgar A.
Published: June 2022

The current study aims at investigating the importance of the geopolitics of natural gas of Kurdistan Region and its role of political relations with neighboring and international countries, especially Turkey and Russia. This is because natural gas is one of the natural resources which is important for human needs nationally and internationally. Recently, natural gas has become one of the most important products for many countries due to effortless extraction and cost effective in production. Therefore, Turkey and Russia have always wanted to control the oil and gas transportation pipes and make Kurdistan as the center of oil and gas. The findings of the study reveal that the natural gas reservation of the Kurdistan Region is estimated 5.7 trillion which makes Kurdistan Region to be the 9th in the world with the amount of 2.9%. the research also finds that the vast majority of the gas reservation is located in Garmyan and Slemani areas.
Geographical Potentials for Emergence of Winter Tourism Attraction and Establishing of Nature Reserves in Penjween District
Authors:   Department of Geography, College of Human Sciences, University of Halabja, Kurdistan Region, Iraq, Mustafa Rebaz L. , Rashid Shirwan O. ,   Department of Geography, College of Humanities, University of Sulaimani, Kurdistan Region, Iraq
Published: June 2022

After discovering the importance of the tourism sector and its contribution to national income gross, generating job opportunities and booming economic infrastructure, many countries showed interest in this sector and saw it as a pure and effortless income, and they tried to maintain and develop tourism attractions and make new and typical tourism spots like natural protected areas and winter resorts so they can attract more tourists and visitors. The aim of the research is to determine the best geographical area in the research area to establish a winter tourism attraction that suits all ages, and also to determine a proper place away from human activities to establish a natural protection area in the research area to reach the aim of the research. The research is divided into two parts, the first part is dedicated to introducing the research area, and the second part is dedicated to investigating a new and typical tourism attraction like winter and protection area. The research finds that Penjween province has many important natural and human features suitable for establishing a winter and natural protection area.
Émotion et raison : la subjectivité dans les mémoires académiques dans la perspective de la pratique réflexive
Authors: Rachwalska von Rejchwald Jolanta Rachwalska von Rejchwald
Published: June 2022

The article is devoted to the analysis of academic diploma theses: bachelor’s and master’s, carried out in the course of 1st and 2nd degree Romance Philology between 2005-2017 in the perspective of reflective practice. Based on the assumption of the pre-scientific character of the diploma thesis and the resulting imperative of objectivity, the aim of the article is to examine the traces of subjectivity present in the language of the diploma theses. The subject of interest is both subjectivity expressed in 1 singular person, but above all other, less obvious, more “constructed” forms (e.g. metaphors, expressive use of adjectives), which express the emotional commitment of the author of the work. In conclusion, the analysis of the works shows a conflict of paradigms: the scientific imperative of objectivism with the desire to express emotions aroused by literature, and in this indirect way, also to express one’s self and personality.
Études en didactique des langues. Foreign language learning and teaching research. N°36 (« L’erreur. Error »), n° 37 (« L’incertitude. Uncertainty »)
Authors: Bakešová Václava
Published: June 2022

COMPTES RENDUS: Études en didactique des langues. Foreign language learning and teaching research. N°36 (« L’erreur. Error »), n° 37 (« L’incertitude. Uncertainty »)
Sortledton
Authors: Fuchs Per , Margan Domagoj , Giceva Jana
Published: June 2022

Despite the wide adoption of graph processing across many different application domains, there is no underlying data structure that can serve a variety of graph workloads (analytics, traversals, and pattern matching) on dynamic graphs with transactional updates.

In this paper, we present Sortledton, a universal graph data structure that addresses the open problem by being carefully optimizing for the most relevant data access patterns used by graph computation kernels. It can support millions of transactional updates per second, while providing competitive performance (1.22x on average) for the most common graph workloads to the best-known baseline for static graphs - CSR. With this, we improve the ingestion throughput over state-of-the-art dynamic graph data structures, while supporting a wider range of graph computations under transactional guarantees, with a much simpler design and significantly smaller memory footprint (2.1x that of CSR).
Prefix filter
Authors: Even Tomer , Even Guy , Morrison Adam
Published: June 2022

Many applications of approximate membership query data structures, or
filters
, require only an
incremental
filter that supports insertions but not deletions. However, the design space of incremental filters is missing a "sweet spot" filter that combines space efficiency, fast queries, and fast insertions. Incremental filters, such as the Bloom and blocked Bloom filter, are not space efficient. Dynamic filters (i.e., supporting deletions), such as the cuckoo or vector quotient filter, are space efficient but do not exhibit consistently fast insertions and queries.

In this paper, we propose the
prefix filter
, an incremental filter that addresses the above challenge: (1) its space (in bits) is similar to state-of-the-art dynamic filters; (2) query throughput is high and is comparable to that of the cuckoo filter; and (3) insert throughput is high with overall build times faster than those of the vector quotient filter and cuckoo filter by 1.39X--1.46X and 3.2X--3.5X, respectively. We present a rigorous analysis of the prefix filter that holds also for practical set sizes (i.e.,
n
= 2
25
). The analysis deals with the probability of failure, false positive rate, and probability that an operation requires accessing more than a single cache line.
The inherent time complexity and an efficient algorithm for subsequence matching problem
Authors: Chao Zemin , Gao Hong , An Yinan , Li Jianzhong
Published: June 2022

Subsequence matching is an important and fundamental problem on time series data. This paper studies the inherent time complexity of the subsequence matching problem and designs a more efficient algorithm for solving the problem. Firstly, it is proved that the subsequence matching problem is incomputable in time
O
(
n
1-δ
) even allowing polynomial time preprocessing if the hypothesis SETH is true, where
n
is the size of the input time series and 0 ≤ δ < 1, i.e., the inherent complexity of the subsequence matching problem is
ω
(
n
1-δ
). Secondly, an efficient algorithm for subsequence matching problem is proposed. In order to improve the efficiency of the algorithm, we design a new summarization method as well as a novel index for series data. The proposed algorithm supports both Euclidean Distance and DTW distance with or without
z
-normalization. Experimental results show that the proposed algorithm is up to about 3 ~ 10 times faster than the state of art algorithm on the constrained
z
-normalized Euclidean Distance and DTW distance, and is up to 7 ~ 12 times faster on Euclidean Distance.
Discovering association rules from big graphs
Authors: Fan Wenfei , Fu Wenzhi , Jin Ruochun , Lu Ping , Tian Chao
Published: June 2022

This paper tackles two challenges to discovery of graph rules. Existing discovery methods often (a) return an excessive number of rules, and (b) do not scale with large graphs given the intractability of the discovery problem. We propose an application-driven strategy to cut back rules and data that are irrelevant to users' interests, by training a machine learning (ML) model to identify data pertaining to a given application. Moreover, we introduce a sampling method to reduce a big graph
G
to a set
H
of small sample graphs. Given expected support and recall bounds, the method is able to deduce samples in
H
and mine rules from
H
to satisfy the bounds in the entire
G
. As proof of concept, we develop an algorithm to discover Graph Association Rules (GARs), which are a combination of graph patterns and attribute dependencies, and may embed ML classifiers as predicates. We show that the algorithm is parallelly scalable,
i.e.
, it guarantees to reduce runtime when more machines are used. We experimentally verify that the method is able to discover rules with recall above 91% when using sample ratio 10%, with speedup of 61 times.
DeepTEA
Authors: Han Xiaolin , Cheng Reynold , Ma Chenhao , Grubenmann Tobias
Published: June 2022

In this paper, we study anomalous trajectory detection, which aims to extract abnormal movements of vehicles on the roads. This important problem, which facilitates understanding of traffic behavior and detection of taxi fraud, is challenging due to the varying traffic conditions at different times and locations. To tackle this problem, we propose the
deep
-probabilistic-based time-dependent anomaly detection algorithm (
DeepTEA
). This method, which employs deep-learning methods to obtain time-dependent outliners from a huge volume of trajectories, can handle complex traffic conditions and detect outliners accurately. We further develop a fast and approximation version of DeepTEA, in order to capture abnormal behaviors in real-time. Compared with state-of-the-art solutions, our method is 17.52% more accurate than seven competitors on average, and can handle millions of trajectories.
Accurate summary-based cardinality estimation through the lens of cardinality estimation graphs
Authors: Chen Jeremy , Huang Yuqing , Wang Mushi , Salihoglu Semih , Salem Ken
Published: June 2022

This paper is an experimental and analytical study of two classes of summary-based cardinality estimators that use statistics about input relations and small-size joins in the context of graph database management systems: (i) optimistic estimators that make uniformity and conditional independence assumptions; and (ii) the recent pessimistic estimators that use information theoretic linear programs (LPs). We begin by analyzing how optimistic estimators use pre-computed statistics to generate cardinality estimates. We show these estimators can be modeled as picking bottom-to-top paths in a
cardinality estimation graph
(CEG), which contains sub-queries as nodes and edges whose weights are average degree statistics. We show that existing optimistic estimators have either undefined or fixed choices for picking CEG paths as their estimates and ignore alternative choices. Instead, we outline a space of optimistic estimators to make an estimate on CEGs, which subsumes existing estimators. We show, using an extensive empirical analysis, that effective paths depend on the structure of the queries. While on acyclic queries and queries with small-size cycles, using the maximum-weight path is effective to address the well known underestimation problem, on queries with larger cycles these estimates tend to overestimate, which can be addressed by using minimum weight paths. We next show that optimistic estimators and seemingly disparate LP-based pessimistic estimators are in fact connected. Specifically, we show that CEGs can also model some recent pessimistic estimators. This connection allows us to adopt an optimization from pessimistic estimators to optimistic ones, and provide insights into the pessimistic estimators, such as showing that they have combinatorial solutions.
Distributed learning of fully connected neural networks using independent subnet training
Authors: Yuan Binhang , Wolfe Cameron R. , Dun Chen , Tang Yuxin , Kyrillidis Anastasios , Jermaine Chris
Published: June 2022

Distributed machine learning (ML) can bring more computational resources to bear than single-machine learning, thus enabling reductions in training time. Distributed learning partitions models and data over many machines, allowing model and dataset sizes beyond the available compute power and memory of a single machine. In practice though, distributed ML is challenging when distribution is mandatory, rather than chosen by the practitioner. In such scenarios, data could unavoidably be separated among workers due to limited memory capacity per worker or even because of data privacy issues. There, existing distributed methods will utterly fail due to dominant transfer costs across workers, or do not even apply.

We propose a new approach to distributed fully connected neural network learning, called independent subnet training (IST), to handle these cases. In IST, the original network is decomposed into a set of narrow subnetworks with the same depth. These subnetworks are then trained locally before parameters are exchanged to produce new subnets and the training cycle repeats. Such a naturally "model parallel" approach limits memory usage by storing only a portion of network parameters on each device. Additionally, no requirements exist for sharing data between workers (i.e., subnet training is local and independent) and communication volume and frequency are reduced by decomposing the original network into independent subnets. These properties of IST can cope with issues due to distributed data, slow interconnects, or limited device memory, making IST a suitable approach for cases of mandatory distribution. We show experimentally that IST results in training times that are much lower than common distributed learning approaches.
English Portions of the Marriage ordo in Manuscripts of German Provenance: An Edition of Two Middle English Texts in Hanover, Stadtbibliothek, Mag. 3, and Munich, Bayerische Staatsbibliothek, Clm 705
Authors: Schultze Dirk
Published: June 2022

The two manuscripts under discussion are testimonies of two processes, both understudied: first, the codification of English portions in the marriage liturgy in late-medieval England, and secondly, the exchange of manuscripts between England and continental Europe in the later Middle Ages up to and including the sixteenth century. The English fragments in Hanover, Stadtbibliothek, Mag. 3, were reused in Germany in the late fifteenth century, while the Sarum missal in Munich, Bayerische Staatsbibliothek, Clm 705, must have travelled to its current repository in the late sixteenth century. Through the English portions contained in them, they contribute in unique ways to a corpus of marriage-related English micro-texts that can be sourced mainly from liturgical manuscripts and early prints. In what follows, I shall offer a description of the two manuscripts and provide information about their provenance and the transmission to their current German repositories. The English portions and relevant extracts from the Latin are being edited here for the first time, and I will situate them within the corpus of extant English marriage ordines.
Motivation in a Reciprocal Task: Interaction Effects of Task Meaning, Goal Salience, and Time Pressure
Authors: Wagner Valentin , Riener Gerhard
Published: June 2022

We investigate the effectiveness of task meaning, time pressure, and knowing the upper bound of performance (maximum performance goal) in a reciprocal information digitization task and their interactions. Participants search information about schools where the quantity dimension of information refers to the number of schools and the quality dimension to finding the correct name of the headmaster. We obtain measures of quality (correctly entered information) and quantity (number of digitized entities). Time pressure has a positive effect on quantity and a negative on quality. Moreover, we cannot replicate the positive effects of high task meaning found in previous research. This indicates that its effectiveness might depend on the work context. While time pressure significantly decreases quality, its interaction with task meaning and maximum performance goals increases quantity marginally without loss in quality.
Obama’s Party? An Examination of Whether a Reluctant Party Leader Transformed the Democratic Party in his Favor
Authors: Azari Julia R. , Masket Seth
Published: June 2022

We examine Barack Obama’s influence over the Democratic Party as an ex-president from three vantage points: his popularity among partisans, his control over party nominations, and his rhetorical influence over party platform stances. The findings are somewhat mixed. Compared with other contemporary presidents, Obama is far more popular among co-partisan voters. However, he has had only modest influence in presidential nominations, and, unlike other modern presidents, a waning influence on party platform stances. The findings are suggestive not only about Obama’s own interests but also about institutional constraints of modern presidents.
Development of a CPU-GPU heterogeneous platform based on a nonlinear parallel algorithm
Authors: Ma Haifeng
Published: June 2022

In order to seek a refined model analysis software platform that can balance both the computational accuracy and computational efficiency, a CPU-GPU heterogeneous platform based on a nonlinear parallel algorithm is developed. The modular design method is adopted to complete the architecture construction of structural nonlinear analysis software, clarify the basic analysis steps of nonlinear finite element problems, so as to determine the structure of the software system, conduct module division, and clarify the function, interface, and call relationship of each module. The results show that when the number of model layers is 10, the GPU is 210.5/s and the CPU is 1073.2/s, and the computational time of the GPU is significantly better, with an acceleration ratio of 5.1. For all the models, the GPU calculation time is much less than that of the CPU, and when the number of model degrees of freedom increases, the acceleration effect of the GPU becomes more obvious. Therefore, the CPU-GPU heterogeneous platform can more accurately describe the nonlinear behavior in the complex stress states of the shear walls, and is computationally efficient.
Analysis of the partially ionized kerosene oil-based ternary nanofluid flow over a convectively heated rotating surface
Authors: Ramzan Muhammad , Dawar Abdullah , Saeed Anwar , Kumam Poom , Sitthithakerngkiet Kanokwan , Lone Showkat Ahmad
Published: June 2022

The main goal of this inspection is to explore the heat and mass transport phenomena of a three-dimensional magnetohydrodynamic (MHD) flow of ternary hybrid nanoliquid through a porous media toward a stretching surface. Nowadays, the low thermal conductivity is the key problem for scientist and researchers in the transmission of heat processes. Therefore, in order to improve the thermal conductivity of different base liquids, the scientist and researchers are mixing numerous types of solid particles in the base fluids. That is why the authors have mixed three different types of nanoparticles such as graphene oxide, silver, and copper in a kerosene oil base liquid. The influences of Hall current and ion-slip are also considered. Furthermore, the flow behavior is analyzed under the appliance of Darcy–Forchheimer, activation energy, and chemical reaction. By using the concept of boundary layer theory, the flow equations are modeled in the form of higher order nonlinear partial differential equations (PDEs) along with convective boundary conditions. Suitable similarity transformations are used for the transformation of higher order PDEs into the higher order nonlinear ordinary differential equations (ODEs). Analytical scheme known as the homotopic scheme is utilized for the simulation of the current problem. The impacts of discrete flow parameters on the velocities, temperature, and concentration profiles of the ternary hybrid nanoliquid are inspected. The skin friction coefficients, Nusselt number, and Sherwood number of the ternary hybrid nanofluid are investigated against various flow parameters. The outcomes of the current analysis showed that primary velocity of the ternary hybrid nanoliquid is augmented via Hall current and ion-slip number, while the reverse trend is observed via porosity parameter, Darcy–Forchheimer parameter, and magnetic field parameter. On the other hand, the higher values of Hall current and magnetic parameter enhanced the secondary velocity of the ternary hybrid nanoliquid, while the secondary velocity was reduced due to the increasing ion-slip number and rotation parameter. It is found that the heat transfer rate of the ternary hybrid nanofluid is 46% greater than the silver nanofluid.
Az e-sport iparág makro, mezo, mikro gazdasági szinten való elemzése
Authors: Szentei András , Novák Pál , Paár Dávid
Published: June 2022

A TANULMÁNY CÉLJA

A technikai fejlődés és a digitalizáció hatására új médiafogyasztási felületek jelentek meg, ezen az új piacon pedig a szórakoztatóipar egy eddig nem létező kínálatot alakított ki, ennek részeként jött létre az e-sport. Az elektronikus játékok és a hozzá tartozó tartalmak aktív és passzív fogyasztása is népszerű a fiatalok között. A kapcsolódó szolgáltatók és a gazdasági környezet felmérése elsődleges fontosságú, ha egy új, fejlődő iparágat szeretnénk vizsgálni, hogy meghatározhassuk azon tényezőket, amelyek befolyással vannak az e-sport iparra. Célunk bemutatni az e-sport tevékenységet gazdasági szempontból vizsgáló, jelenleg fellelhető, mind kvalitatív, mind kvantitatív tudományos kutatásokat, publikációkat.

ALKALMAZOTT MÓDSZERTAN

Az elérhető és releváns online adatbázis kereső rendszerekben célzottan, azonos keresőszavak (magyar és angol) révén szűkítettük a kutatás fókuszát az alábbiak szerint: (1) esport, e-sport, electronic sport és (2) economy, economics, business, revenue, income, sponsorship. Az adatbázis keresők egy részénél nem volt lehetőségünk szűkíteni a keresésünket a specifikus keresőszavak összekapcsolásával, ott törekedtünk a teljes feldolgozásra, a hógolyó-módszerrel választottunk ki minél több cikket, azok közül, amelyek megjelentek. A fellelhető irodalom áttekintése folyamán részletesen elemeztük azokat a publikációkat, amelyek címében vagy tartalmában megtalálhatóak voltak a fenti keresőszavak. Ezután kizártuk azokat a publikációkat, ahol ezen keresőszavak megléte ellenére tartalmilag mégsem volt releváns információ az e-sport iparággal kapcsolatban.

LEGFONTOSABB EREDMÉNYEK

Az e-sport iparág az élményalapú gazdaság részeként jellemezhető, egyfajta technológiai és szórakoztató iparági hibridként. Az e-sportot a szórakoztatóipar egy új, erősödő szereplőjeként határozhatjuk meg. A kutatás ideje alatt 33 olyan cikket találtunk, amely gazdasági értelemben foglalkozik az e-sport iparág valamely szegmensével. Feltárásra került a pénz körforgása az e-sport iparágban, ahol a követők/nézők számos terméket és szolgáltatást fogyasztanak: versenyek megtekintése, online és offline belépőjegyek vásárlása, egyéni és csapat támogatások, valamint „merchandising” termékek vásárlása. Cserébe élményeket, tárgyi eszközöket, szoftvereket, tapasztalatokat, valamint a videómegosztó felületeken, feliratkozások általi ajándékokat kaphatnak.

GYAKORLATI JAVASLATOK

A növekvő bevételek és a nézők számának növekedése miatt érdemes a további kutatások fókuszába helyezni az e-sport egyes szegmenseit, a közvetítésmegosztó szolgáltatókról csekély tudományos munka született eddig, amely a Magyarországon elérhető ilyen szolgáltatók nézőit vizsgálja, ezért ennek vizsgálatát elsődlegesnek gondoljuk.
A német szenior utazók tipológiája a Covid-19 járvány időszakában
Authors: Bíró Csaba , Gerdesics Viktória
Published: June 2022

A TANULMÁNY CÉLJA

A szeniorturizmus már az 1970-es évektől létezik a köztudatban a német küldőpiac vonatkozásában, de az ezredfordulóig jellemzően niche-piacként tekintett rá a szakma. Az idős német utazók bővülő volumene ellenére, a számuk folyamatosan erodálódik a hazai desztinációkban. A fogyasztói magatartásuk, döntéshozataluk a turizmus szektoron belül kevésbé vizsgált és jellemzően sztereotipizált annak ellenére, egyre aktívabbak és tanultabbak a korábbi generációkhoz képest. Az idős utazók szegmense rendkívül heterogénnek tekinthető. Az empirikus vizsgálatunk legfőbb célja ezért az volt, hogy meghatározott szempontok mentén homogén csoportokat sikerüljön azonosítani a szegmensen belül, ezzel egy új tipológiát létrehozva az idős német utazók szegmensén belül.

ALKALMAZOTT MÓDSZERTAN

A 2019 évvégén kirobbant Covid-19 világjárvány komoly kihívások elé állította a turizmust. A lezárásokkal teli időszakokban többször is a nullához konvergált a szektor teljesítménye. Már a részleges újraindulás időszakában, 2021. július-október között személyes megkérdezésre (PAPI, in-situ, félig strukturált kérdőív segítségével) került sor, ahol a Magyarországra érkező, legalább 55 éves német beutazók kerültek kiválasztásra. A megkérdezés helyszíne Budapest, Kalocsa, Pécs volt. A végső mintát 347 fő idős német állampolgár alkotta, akik szállodahajó segítségével kerestek fel többek között hazai, Duna menti turisztikai térségeket. Megvizsgáltuk a desztinációválasztási döntéssel összefüggésben a desztináció preferenciájukat, illetve meghatározó utazási szokásaikat. A faktoranalízis alapját 49 db változó képezte, amelyek numerikusan (legalább számmal kódolható módon) értelmezhetőek. Az exploratív faktoranalízist főkomponens-elemzéssel, varimax forgatással végeztük el. Ezek alapján főkomponensek kerültek meghatározásra úgy, mint Covid-19 járvány és biztonság, Extra desztinációs elvárás, valamint az Árérzékenység és család. Klaszterezés segítségével jól elkülönülő csoportokat kerestünk. Ennek eredményeképpen 5 db klaszter került létrehozásra a vizsgált minta esetében, úgy, mint idős biztonságkeresők, igényes utazók, újgazdagok, örömutazók, valamint árérzékenyek csoportját azonosítottuk az időskorú német utazók szegmensén belül.

LEGFONTOSABB EREDMÉNYEK

Vizsgálati eredményeink kiválóan szemléltetik, hogy hibás gyakorlatnak minősül egy adott nemzet szenior utazói szegmensét egységesen, homogénnek kezelni, hiszen a szocio-gazdasági státus mellett, a desztinációs elvárások, a küldőterületi lokáció különbözősége mind-mind befolyással bírhatnak a turisztikai fogyasztás vonatkozásában.