bluuebunny/crossref_metadata_2025 huggingface dataset:
O Fenômeno da Intersubjetividade na Relação Psicoterapêutica
Authors: Fadda Gisella Mouta , Cury Vera Engler
Published: August 2021

Este artigo apresenta uma investigação teórica sobre a constituição do fenômeno da intersubjetividade, considerado como uma passagem do eu ao outro, a partir dos princípios da antropologia fenomenológica de Edmund Husserl. É discutida, também, a relevante contribuição da filósofa e psicóloga alemã Edith Stein, discípula de Husserl, sobre a experiência empática. O conceito desenvolvido por Stein sobre a empatia fenomenológica, que pode ser traduzida, também, como “intropatia” ou “entropatia”, possibilita um olhar sui generis acerca do encontro com o outro. A qualidade desse encontro é de suma importância quando consideramos a relação entre psicoterapeuta e cliente no contexto da clínica psicológica humanista, orientada pelos princípios da abordagem centrada na pessoa, desenvolvida pelo psicólogo norte americano Carl Rogers. As implicações entre subjetividade e intersubjetividade são analisadas num movimento de interlocução criativa entre a filosofia fenomenológica e a psicologia clínica humanista, objetivando contribuir para uma aproximação entre dois campos que se afetam mutuamente ao se apropriarem da experiência humana a partir de ênfases complementares, estrutura universal e concretude singular.
Visual and Verbal Portraits of Cardinals in Fifteenth-Century Florence
Authors: Maxson Brian Jeffrey
Published: August 2021

Although the city of Florence lacked a cardinal for most of the fifteenth century,
the city was not lacking in cardinal portraits during the same period. This chapter
examines two visual portraits of cardinals by Bicci di Lorenzo and Francesco di
Antonio del Chierico alongside written portraits found in a diary by Bartolommeo
di Michele del Corazza and the Lives of Vespasiano da Bisticci. The chapter argues
that specific contexts can help explain the choices made by artists and authors
to provide or shun idiosyncratic details in their works.
The Role of Cardinals’ Portraits in Venice
Authors: Ferrari Sarah
Published: August 2021

The most powerful Venetian cardinals in the sixteenth century were arguably those
stemming from the Grimani family. This chapter presents a detailed analysis of the
MS Morosini Grimani 270 in the Biblioteca del Museo Correr in Venice, focusing
on drawings that illustrate the appointment of Grimani cardinals, alongside their
portraits. The iconographic derivation of these drawings from existing works of
art will be explored through comparison with painted portraits and other visual
representations of the Grimani cardinals, some previously unidentified. The
possible function of the included cardinal portraits, and the historical scenes
relating to them will be investigated, considering the role of images of cardinals
within the dynastic strategies and histories of certain families.
Role Playing
Authors: Pattanaro Alessandra
Published: August 2021

Leandro Bassano’s historical narrative painting, Honorius III Approving the Rule
of St. Dominic in 1216, produced for the sacristy of the Dominican church of Santi
Giovanni e Paolo in Venice, depicts several contemporary cardinals here identified
for the first time while accompanying the pope, such as cardinals Giovanni Dolfin
and François de Joyeuse beside him. When the painting was executed, Venice
was emerging from the difficult papal interdict of 1606, and it was thanks to
the diplomatic negotiations of these two cardinals that the crisis was resolved
favourably. Using this painting as a case study, this chapter examines how the
representation of specific cardinals in public settings could assume a precise
historical and political meaning.
Portraits as a Sign of Possession
Authors: Witte Arnold
Published: August 2021

Cardinals’ portraits were not only intended for private residences and painted by
famous artists, but were also produced in multiple copies of variable quality that
still can be found on the art market. In these paintings, often based on portrait
prints, likeness or artistic merit were not the most important criteria. Inventories
show that most of these copies were actually made for religious institutions, such
as orders and confraternities, of which these cardinals were appointed protector.
This essay deals with the question of how and when these portraits were obtained
and where they were displayed; by means of this spatial contextualization, it
explains the legal function of these portraits within these institutions.
Group Portraits of Cardinal Bembo and his Friends in the Wake of Trent
Authors: Brooke Irene
Published: August 2021

Despite being primarily famous as a poet and literary theorist, Pietro Bembo’s
visual legacy is dominated by images of him as an aged cardinal. The majority
of these images of Cardinal Bembo were produced posthumously, and several
representations occur in group portraits including cardinals affiliated with Paul
III’s programme of ecclesiastical reform; many of these individuals were Bembo’s
closest friends at the papal court. Exploring the important place that Bembo
assumed within the Roman Curia during his cardinalate, and his association with
the group known as the spirituali, this essay will consider how cardinal portraiture
could be used to articulate visually a particular agenda of church reform.
Horseracing, Theater and Camões
Authors: Chan Catherine S.
Published: August 2021

In 1866, Hong Kong’s middle-class Macanese founded Club Lusitano Ltd.,
the largest Portuguese gentlemen’s club in southern China. Modeled after
British clubs yet boasting selective Portuguese characteristics, the club
carved a space for the Macanese to elevate their presence in Hong Kong. It
allowed Macanese men who worked as clerks and small business owners
in the daytime to transcend the glass ceilings they encountered in the
workplace. While showcasing the Portuguese flag, playing the Hino da
Carta anthem and commemorating the legendary Portuguese poet Camões
emerged as ways to legitimize Club Lusitano’s Portugueseness, inviting
British government officials and prominent non-Macanese businessmen
to lavish celebrations mirroring Portugal’s festivals opened new doors
through which to enter the social worlds of respectable Europeans,
businessmen and colonial officials.
A Novel Technique for Solving Integer Linear Bilevel Programming Problems
Authors:   faculty of graduate studies for statistical research, Cairo University, Cairo, Egypt., Morsy Alaa Mokhtar
Published: August 2021

A novel technique that addresses the solution of the general integer linear bilevel programming problem to global optimality is presented i.e. the general case of bilevel linear programming problems where each decision maker has objective functions conflicting with each other. We introduce linear programming problem of which resolution can permit to generate the whole feasible set of the upper level decisions. The approach is based on the relaxation of the feasible region by convex underestimation. Finally, we illustrate our approach with a numerical example.
Computational studies of the folding patterns of small and medium-size polypeptides
Authors:   , Mokoena Paul
Published: August 2021

This study involved a series of molecular dynamics (MD) simulations applied to case studies of small and medium-size polypeptides to assess the thermodynamics of their folding characteristics. Peptide folding is a complex and vital phenomenon taking place in all living systems. Bioactive conformational structures of folded peptides need to be well characterized before using them in computer-aided drug design. The computational procedure was validated on the 10-residue long chignolin-like synthetic mini-protein (CLN025). For this peptide, replica exchange molecular dynamics (REMD) calculations were carried out in explicit and implicit solvents using the generalized Born (GB)/surface area (SA) approximation with different sets of force field parameters. Following this validation procedure, case studies of the folding conformations of peptides of different lengths including the 5-residue met-enkephalin, the 27-residue pituitary adenylate-activating polypeptide 27(PACAP27) and the 28-residue vasoactive intestinal peptide (VIP) were undertaken. The latter two peptides are multifunctional hormones that mediate diverse biological functions, such as the cell cycle, cardiac muscle relaxation, immune response, septic shock, bone metabolism, and endocrine function. Results obtained indicate that when explicit water, methanol and DMSO solvents were used, it appeared that methanol (MeOH) and dimethylsulphoxide (DMSO) afforded met-enkephalin the ability to form more intra-hydrogen bonds than water, producing type I and type III β-turn structures; thus enhancing the helical conformation of the peptide. MD trajectories of longer polypeptides (VIP and PACAP27) were also populated with type I and type III β-turns, which occurred consecutively; with α- and 310-helices occurring from the middle of each peptide towards the C-terminal. Characterization of implicit solvent results, reveal that these simulations have been able to reproduce the same type of conformers obtained by experimental NMR studies published in literature, which structurally resemble the native conformation of the bioactive peptides. These conformational structures will be applied as lead agents in computer-aided drug design. One of the major achievements of this study is the ability to optimize and validate the force field parameter sets to describe the thermodynamic properties of peptide systems in an unbiased manner, a non-trivial task for even the smallest of peptides. These findings re-affirm the notion that computational methods have matured enough to model dynamic biological phenomena such as peptide folding, a feat previously thought to be impossible.
The legal nature of the institution of unescorted travel
Authors:   KI of the FPS of Russia, CHEREMIN NIKITA V.
Published: August 2021

This article examines the actual problem of determining the legal nature of such an institution of criminal executive law as granting convicts the right to move outside the correctional institution without a convoy or escort. The object of the article is the institution of movement of convicts sentenced to imprisonment without an escort or convoy. The subject of the article is the legal nature of the institution of unescorted movement. The purpose of the study is the analysis of the legal nature of the institution of unescorted movement aimed at solving a number of theoretical and practical problems related to granting the right to unescorted travel to those sentenced to imprisonment. The methodological basis of the study was the statistical method, analysis of departmental statistics and basic regulatory legal documents, the formal-logical method, a questionnaire survey of penal system employees and of those sentenced to imprisonment. As a theoretical basis for the study, the author cites the opinions of scientists who have studied the problems of the execution of sentences in the form of imprisonment. In the course of the study, he reasonably comes to the conclusion that it is necessary to change the legal and organizational foundations of the institute in order to more effectively select candidates from among convicts for being provided with the right to travel without an escort. As part of the modernization of the penitentiary system, the importance of changing the goal of this institution is substantiated - from the economic needs of correctional institutions to an element of a progressive system of serving sentences. Key words: movement without escort, right, legitimate interest, progressive system.
Development of the institution of volunteering as a factor in the resocialization of persons sentenced to punishments not related to isolation from society
Authors:   Federal Governmental Institution «Research Institute of the Federal Penitentiary Service of Russia»,, LAKINA IRINA .A , PITKEVICH LIDIYA P.
Published: August 2021

The article discusses the positive experience of interaction between the penal inspectorates of the Federal Penitentiary Service and volunteer organizations in the execution of sentences and penal measures that are not related to the isolation of the convict from society. The subject of the article was domestic legislation and scientific literature on the topic under study as well as the study results. The purpose of the study is to substantiate the importance of interaction between penal inspectorates and volunteer organizations. The methodological basis of the study was a combination of general scientific, sociological and special legal methods. The work is based on the analytical method, synthesis, induction, system-structural, formal-logical and technical-legal methods. As a result of the work carried out, the positive experience of the practice of involving volunteer organizations in the correction of convicts was studied. Conclusions are drawn about the need for such interaction for resocialization of persons sentenced to punishments other than imprisonment. Key words: volunteering, penal inspections, resocialization, convicts.
Education on Disease Risk Factors in Adapting New Habits to Prospective Hajj Pilgrims at KBHI Bisri-Pusri Palembang City
Authors: Emma Emma Novita , Agita Diora Fitri  , Tia Sabrina  , Andyra Priandhana  , Muhammad Musa  , M.Taufik Wijaya
Published: August 2021

Health istitha'ah is the health ability of the pilgrims physically and mentally with a measurable health assesment. It is essential for every citizen who will perform the hajj pilgrimage. The Indonesian Ministry of Health through the Non-Infectious Disease Integrated Service Post (Posbindu PTM) implements an early detection and prevention program for non-infectious diseases in sub-districts, schools or colleges, institutions or workplaces, and Hajj guidance groups (KBIH) especially for pilgrims. The department of public health and community medicine (IKM-IKK) of the Faculty of Medicine, Sriwijaya University perform an education on the detection of risk factors for non-infectious diseases and physical fitness assesment of prospective pilgrims in the context of community service activities at KBIH Bisri Palembang. Examinations were done on 40 prospective pilgrims using the Rockport test method. The results of the examination showed that the 24 pilgrims had moderate fitness level (60%). The blood pressure test results showed that 9 pilgrims had hypertension (22%) and the nutritional status test showed that 20 pilgrims were overweight and obese (38.5%). In addition, there is an assesment for prospective hajj pilgrims in order to understanding risk factors for non-infectious diseases. The result shows that there is a significant increase in understanding about non-infectious diseases in the adaptation of new habits.
An Overview of Knowledge of Traditional Medicine for Self-medication in the Community in the Era of the COVID-19 Pandemic
Authors: Pariyana  , Muhammad Aziz  , Mariana  , Suryadi Tjekyan  , Puji Rizki Suryani  , Theodora Viani  , Salsa Amalia
Published: August 2021

Self-medication is usually used by the community to treat minor illnesses, especially during the COVID-19 pandemic, such as fever, dizziness, cough, flu, pain, ulcers, diarrhea, and others. Most self-medication leads to inappropriate drug use. Self-medicated knowledge is the key to prevent unwanted events, one of the example is by providing education about traditional medicine for self-medication. In addition, making a plantation pharmacy is also a solution to make it easier for people to obtain traditional medicines. The method of implementing this community service activity is to provide counseling on using traditional medicine for self-medication and planting pharmacy plantation. An overview of knowledge of traditional medicine for self-medication in the community in the era of the COVID-19 pandemic is descriptive research by looking at primary data (from questionnaires) taken in a cross-sectional manner. Based on the data obtained, it can be concluded that most people have a sufficient level of knowledge (59.09%). The community has a positive attitude towards traditional medicine self-medication as evidenced by the number of respondents who answered agree from these statements. Therefore, research can be carried out as well as counseling, education and health promotion to society with a larger sample.
Moldova’da Sovyet Sonrası Ulus Kimlik İnşası: İdeolojik Yaklaşımlar
Authors: AKPINAR Ömer
Published: August 2021

Bu çalışmada Moldova’da ulus kimlik inşasına etki eden ideolojik yaklaşımlar incelenmiştir. Ulus kimlik inşası milliyetçilik ideolojisi üzerinden açıklanmıştır. Milliyetçilik ilkçiler, modernistler ve etno-sembolcüler olarak üç başlıkta toplanmıştır. Moldova’daki ulusal kimliğin inşasına etki eden ideolojiler ise pan-Rumenistler, pan-Moldovanistler ve Sivil Moldovanistler olarak isimlendirilmiştir. Pan-Rumenistler ilkçilere yakın ve Moldova’da yaşayan insanların Rumen olduğunu iddia etmektedir. Pan-Moldovanistler Moldovan kimliğinin gerçek kimlik olduğunu belirtmektedirler ve etno-sembolcülere yakındırlar. Sivil Moldovanistler ise modernistlere yakın bir ideolojiye sahiptirler. Alt kimliklere saygı duyularak herkesin Moldovan kimliğinde buluşması gerekiğini düşünürler.
Roman Topluluklarında Evlilik Pratikleri
Authors: ÖMER ÇAHA Ömer Çaha , ALTINKOZ Oğuzhan
Published: August 2021

Romanların en fazla sayıda yaşadığı 12 ilde TÜBİTAK destekli olarak yürütülen bir projenin verilerine dayanılarak hazırlanan bu çalışma Türkiye’deki Romanlarda evlilik pratiklerini incelemektedir. Araştırmada, Romanlarda evlilik biçimi, küçük yaşta evlilik, akraba evliliği, başlık parası ve tek eşlilik gibi konular ele alınmaktadır. Araştırma bulgularına göre erken yaşta evlilik, kaçma-kaçırmak yoluyla evlilik ve iç grup evliliği Türkiye’deki tüm Roman topluluklarında görülen ortak sosyolojik olgulardır. Bununla birlikte, başlık parası ve akraba evliliği gibi uygulamalar ise bazı illerdeki Romanlar arasında daha yaygındır. Romanlarda yaygın olan evliliğe ilişkin pratikler, tutumlar ve değerler, bir yandan Roman kültürünün yaşatılmasına hizmet ederken, bir yandan da Romanların kendi içinde kapalı bir topluluk şeklinde yaşamasına yol açmaktadır.
PENERAPAN LESSON STUDY UNTUK MENINGKATKAN KEMAMPUAN MENGAJAR GURU PADA PEMBELAJARAN JARAK JAUH DI SMP NEGERI 3 NGRAMBE
Authors: WIBISANA GUNAWAN
Published: August 2021

Tujuan penelitian ini adalah untuk mengetahui apakan penerapan Lesson Study mampu meningkatkan kemampuan mengajar guru pada pelaksanaan pembelajaran jarak jauh SMP Negeri 3 Ngrambe semester genap tahun pelajaran 2020/2021. Subyek penelitian ini adalah guru di SMP Negeri 3 Ngrambe yang berjumlah 29 orang. Desain penelitian ini berbentuk penelitian tindakan sekolah. Teknik pengumpulan data yang digunakan adalah teknik observasi, tes dan dokumentasi. Sumber data penelitian ini adalah informan, tempat, peristiwa dan dokumen. Pelaksanaan tindakan dilakukan oleh peneliti yang direncanakan bersama dengan wakil kepala sekolah bidang kurikulum. Proses penelitian dilakukan dalam dua siklus dan masing-masing siklus terdiri dari empat tahap yaitu perencanaan tindakan, pelaksanaan tindakan, observasi dan evaluasi, dan analisis dan refleksi. Setiap siklus dilakukan dengan tiga kali pertemuan dan masing-masing pertemuan 2 x 60 menit. Berdasarkan hasil penelitian yang dilakukan dapat disimpulkan bahwa penerapan Lesson Study mampu meningkatkan kemampuan mengajar guru pada pelaksanaan pembelajaran jarak jauh SMP Negeri 3 Ngrambe semester genap tahun pelajaran 2020/2021. Hasil penelitian yang telah dilakukan adalah ada peningkatan kemampun mengajar guru dari 17 guru (59%) yang mencapai predikat miminal baik pada pra siklus menjadi 23 guru (79%) yang mencapai predikat miminal baik pada siklus I dan meningkat menjadi 28 guru (97%) yang mencapai predikat miminal baik. Nilai rata-rata kemampuan menyusun RPP guru meningkat dari 80,67 pada pra siklus menjadi 84,30 atau meningkat 5% pada siklus I dan menjadi 88,55 atau meningkat 10% pada siklus II.
The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019
Authors: Yang Jie , Huang Xin
Published: August 2021

Abstract. Land cover (LC) determines the energy exchange, water and
carbon cycle between Earth's spheres. Accurate LC information is a
fundamental parameter for the environment and climate studies. Considering
that the LC in China has been altered dramatically with the economic
development in the past few decades, sequential and fine-scale LC monitoring
is in urgent need. However, currently, fine-resolution annual LC dataset
produced by the observational images is generally unavailable for China due
to the lack of sufficient training samples and computational capabilities.
To deal with this issue, we produced the first Landsat-derived annual China
land cover dataset (CLCD) on the Google Earth Engine (GEE) platform, which
contains 30 m annual LC and its dynamics in China from 1990 to 2019. We
first collected the training samples by combining stable samples extracted
from China's land-use/cover datasets (CLUDs) and visually interpreted
samples from satellite time-series data, Google Earth and Google Maps. Using
335 709 Landsat images on the GEE, several temporal metrics were constructed
and fed to the random forest classifier to obtain classification results. We
then proposed a post-processing method incorporating spatial–temporal
filtering and logical reasoning to further improve the spatial–temporal
consistency of CLCD. Finally, the overall accuracy of CLCD reached 79.31 %
based on 5463 visually interpreted samples. A further assessment based on
5131 third-party test samples showed that the overall accuracy of CLCD
outperforms that of MCD12Q1, ESACCI_LC, FROM_GLC and GlobeLand30. Besides, we intercompared the CLCD with several
Landsat-derived thematic products, which exhibited good consistencies with
the Global Forest Change, the Global Surface Water, and three impervious
surface products. Based on the CLCD, the trends and patterns of China's LC
changes during 1985 and 2019 were revealed, such as expansion of impervious
surface (+148.71 %) and water (+18.39 %), decrease in cropland
(−4.85 %) and grassland (−3.29 %), and increase in forest (+4.34 %). In
general, CLCD reflected the rapid urbanization and a series of ecological
projects (e.g. Gain for Green) in China and revealed the anthropogenic
implications on LC under the condition of climate change, signifying its
potential application in the global change research. The CLCD dataset
introduced in this article is freely available at
https://doi.org/10.5281/zenodo.4417810 (Yang and Huang, 2021).
ABSOLUTE 3D ACCURACY ASSESSMENT OF UAS LIDAR SURVEYING
Authors: Lassiter H. A. , Wilkinson B. , Gonzalez Perez A. , Kelly C.
Published: August 2021

Abstract. Surveying an area with small, unoccupied aerial systems (UAS) equipped with a lidar mapping payload—absent permanent, stable, geometrical reference surfaces—demands accurate, repeatable data collection procedures. While relative error within a single UAS lidar dataset may reveal itself in strip misalignment, absolute error (particularly horizontal error) can prove more difficult to detect, casting doubt upon the quality of both individual surveys and time change analyses of multiple surveys of the area. To gain insight on the UAS lidar error budget, this study presents an analysis of multiple UAS lidar surveys over a set of accurately surveyed geometric checkpoints. Each flight’s trajectory was processed multiple times using multiple static GNSS base observations, both autonomous and set over surveyed monuments, at varying distances from the study site. Custom algorithms were used to mensurate the geometric targets detected in each UAS lidar survey's point cloud, allowing for precise comparison of both absolute horizontal and vertical accuracy of each survey against the rigorous ground survey. The results of the analysis suggest that high horizontal accuracy can be achieved under a variety of conditions, whereas vertical accuracy is sensitive to the quality of ground control. and a discussion of the results explores the ultimate goal of isolating and understanding the sources and magnitudes of error in the UAS lidar error budget.
EVACUATING ORANGE COUNTY, CALIFORNIA, IN ABOUT ELEVEN (11) SECONDS
Authors: Riechel J.
Published: August 2021

Abstract. Orange County, California, residents must evacuate when there is a crisis at the San Onofre nuclear power plant in San Clemente, California. They must travel roughly north and east over safe roads. Depending on their location in Orange County (OC), residents will travel to the closest of four (4) waypoints located on the border between OC and neighboring counties. Once a waypoint is reached, evacuees can travel in any direction except back toward OC. The approximate driving distance algorithm is used to suggest a possible waypoint for each address—business or residential. The approximate driving distance algorithm makes this evacuation planning possible, as it takes only around eleven (11) seconds on a state-of-the-art laptop to route 1.1 to 1.2 million addresses to waypoints. Using actual driving distances would take too long and be too expensive, taking approximately fifty-three (53) days on the same platform. The waypoint suggestions are just that: suggestions. In some cases, the approximate driving distance algorithm might not choose the closest waypoint.
FEATURE EXTRACTION OF DESIS AND PRISMA HYPERSPECTRAL REMOTE SENSING DATASETS FOR GEOLOGICAL APPLICATIONS
Authors: Tripathi P. , Garg R. D.
Published: August 2021

Abstract. With the recent launch of advanced hyperspectral satellites with global coverage, including DESIS and PRISMA, a massive volume of high spectral resolution data is available. This work is focused on the spectral analysis and implementation of feature extraction or data dimensionality reduction techniques on both newly available datasets for geological interpretation. Three of the best feature extraction algorithms, Principal Component Analysis (PCA), Minimum Noise Fraction (MNF), and Independent Component Analysis (ICA), were tested for lithological mapping for the Rajasthan state of India. The present work demonstrates the advantage of the feature extraction algorithm in geological mapping and interpretability as it shows the excellent performance for these datasets. The narrowband ratios for the clay minerals, dolomite, kaolinite, amphiboles, and Al-OH are generated using the PCA and MNF components. All of these band ratios were compared with the Lithological Map available. It is concluded that PCA is the first choice for feature-based lithological classification of hyperspectral remote sensing data. ICA is giving some impressive results which can be explored further. DESIS and PRISMA have a 30 km swath, finer spectral resolution, and high signal-to-noise ratio, which shows much potential in lithological mapping over the parts of northern India. It is suggested to use advanced feature extraction algorithms with recently launched hyperspectral data for accurate and updated mineral mapping over a sizeable geological importance area.
OPERATIONAL-SCALE GEOAI FOR PAN-ARCTIC PERMAFROST FEATURE DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGERY
Authors: Udawalpola M. , Hasan A. , Liljedahl A. K. , Soliman A. , Witharana C.
Published: August 2021

Abstract. Regional extent and spatiotemporal dynamics of Arctic permafrost disturbances remain poorly quantified. High spatial resolution commercial satellite imagery enables transformational opportunities to observe, map, and document the micro-topographic transitions occurring in Arctic polygonal tundra at multiple spatial and temporal frequencies. The entire Arctic has been imaged at 0.5 m or finer resolution by commercial satellite sensors. The imagery is still largely underutilized, and value-added Arctic science products are rare. Knowledge discovery through artificial intelligence (AI), big imagery, high performance computing (HPC) resources is just starting to be realized in Arctic science. Large-scale deployment of petabyte-scale imagery resources requires sophisticated computational approaches to automated image interpretation coupled with efficient use of HPC resources. In addition to semantic complexities, multitude factors that are inherent to sub-meter resolution satellite imagery, such as file size, dimensions, spectral channels, overlaps, spatial references, and imaging conditions challenge the direct translation of AI-based approaches from computer vision applications. Memory limitations of Graphical Processing Units necessitates the partitioning of an input satellite imagery into manageable sub-arrays, followed by parallel predictions and post-processing to reconstruct the results corresponding to input image dimensions and spatial reference. We have developed a novel high performance image analysis framework –Mapping application for Arctic Permafrost Land Environment (MAPLE) that enables the integration of operational-scale GeoAI capabilities into Arctic science applications. We have designed the MAPLE workflow to become interoperable across HPC architectures while utilizing the optimal use of computing resources.
LAND SURFACE TEMPERATURE AS AN INDICATOR OF URBAN HEAT ISLAND EFFECT: A GOOGLE EARTH ENGINE BASED WEB-APP
Authors: Galodha A. , Gupta S. K.
Published: August 2021

Abstract. At least 2 billion urban occupants will be concentrated in Asia and Africa, amounting to 70% of the global population by 2050. This rapid urbanization has caused an innate effect on the ecology and environment, which further results in intense temperature variations in urban and rural areas, especially in India. According to a recent IPCC report, 8 out of the 15 hottest cities in the world are situated in India. The rising industrial work, construction activities, type of material used for construction, and other factors have reduced thermal cooling and created temperature imbalance, thereby creating a vicious effect called “urban heat island” (UHI) or “surface urban heat island” (SUHI). Several researchers have also related it with climate change due to their contribution to the greenhouse effect and global warming. In this study, we have particularly emphasized northern India, including Punjab, Rajasthan, Haryana, and Delhi. We created a Google Earth Engine (GEE) based Web-App to assess the UHI intensity over the past 15 years (2003–2018). We are using Moderate Resolution Imaging Spectroradiometer (MODIS) images, Landsat 5, 7, and 8 data for studying UHI. The land surface temperature (LST) based UHI intensity (day and night time) will be available for major metropolitan cities with their respective clusters. With feasibility in SUHI monitoring, we can address an increasing need for resilient, sustainable, and safe urban planning of our cities as portrayed under the Sustainable Development Goals (SDG 11 highlighted by United Nations).
FEATURE FUSION FOR CROSS-MODAL SCENE CLASSIFICATION OF REMOTE SENSING IMAGE
Authors: Geng W. , Zhou W. , Jin S.
Published: August 2021

Abstract. Scene classification plays an important role in remote sensing field. Traditional approaches use high-resolution remote sensing images as data source to extract powerful features. Although these kind of methods are common, the model performance is severely affected by the image quality of the dataset, and the single modal (source) of images tend to cause the mission of some scene semantic information, which eventually degrade the classification accuracy. Nowadays, multi-modal remote sensing data become easy to obtain since the development of remote sensing technology. How to carry out scene classification of cross-modal data has become an interesting topic in the field. To solve the above problems, this paper proposes using feature fusion for cross-modal scene classification of remote sensing image, i.e., aerial and ground street view images, expecting to use the advantages of aerial images and ground street view data to complement each other. Our cross- modal model is based on Siamese Network. Specifically, we first train the cross-modal model by pairing different sources of data with aerial image and ground data. Then, the trained model is used to extract the deep features of the aerial and ground image pair, and the features of the two perspectives are fused to train a SVM classifier for scene classification. Our approach has been demonstrated using two public benchmark datasets, AiRound and CV-BrCT. The preliminary results show that the proposed method achieves state-of-the-art performance compared with the traditional methods, indicating that the information from ground data can contribute to aerial image classification.
Spatial distribution of argan tree influence on soil properties in southern Morocco
Authors: Kirchhoff Mario , Romes Tobias , Marzolff Irene , Seeger Manuel , Aït Hssaine Ali , Ries Johannes B.
Published: August 2021

Abstract. The endemic argan tree (Argania spinosa) populations in southern Morocco are highly degraded due to overbrowsing, illegal firewood extraction and the expansion of intensive agriculture. Bare areas between the isolated trees increase due to limited regrowth; however, it is unknown if the trees influence the soil of the intertree areas. Hypothetically, spatial differences in soil parameters of the intertree area should result from the translocation of litter or soil particles (by runoff and erosion or wind drift) from canopy-covered areas to the intertree areas. In total, 385 soil samples were taken around the tree from the trunk along the tree drip line (within and outside the tree area) and the intertree area between two trees in four directions (upslope, downslope and in both directions parallel to the slope) up to 50 m distance from the tree. They were analysed for gravimetric soil water content, pH, electrical conductivity, percolation stability, total nitrogen content (TN), content of soil organic carbon (SOC) and C/N ratio. A total of 74 tension disc infiltrometer experiments were performed near the tree drip line, within and outside the tree area, to measure the unsaturated hydraulic conductivity. We found that the tree influence on its surrounding intertree area is limited, with, e.g., SOC and TN content decreasing significantly from tree trunk (4.4 % SOC and 0.3 % TN) to tree drip line (2.0 % SOC and 0.2 % TN). However, intertree areas near the tree drip line (1.3 % SOC and 0.2 % TN) differed significantly from intertree areas between two trees (1.0 % SOC and 0.1 % TN) yet only with a small effect. Trends for spatial patterns could be found in eastern and downslope directions due to wind drift and slope wash. Soil water content was highest in the north due to shade from the midday sun; the influence extended to the intertree areas. The unsaturated hydraulic conductivity also showed significant differences between areas within and outside the tree area near the tree drip line. This was the case on sites under different land usages (silvopastoral and agricultural), slope gradients or tree densities. Although only limited influence of the tree on its intertree area was found, the spatial pattern around the tree suggests that reforestation measures should
be aimed around tree shelters in northern or eastern directions with higher soil water content or TN or SOC content to ensure seedling survival, along with measures to prevent overgrazing.
Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data
Authors: Hedefalk Finn , Harrie Lars , Svensson Patrick
Published: August 2021

The Intermediate Data Structure (IDS) is a standardised database structure for longitudinal historical databases. Such a common structure facilitates data sharing and comparative research. In this study, we propose an extended version of IDS, named IDS-Geo, that also includes geographic data. The geographic data that will be stored in IDS-Geo are primarily buildings and/or property units, and the purpose of these geographic data is mainly to link individuals to places in space. When we want to assign such detailed spatial locations to individuals (in times before there were any detailed house addresses available), we often have to create tailored geographic datasets. In those cases, there are benefits of storing geographic data in the same structure as the demographic data. Moreover, we propose the export of data from IDS-Geo using an eXtensible Markup Language (XML) Schema. IDS-Geo is implemented in a case study using historical property units, for the period 1804 to 1913, stored in a geographically extended version of the Scanian Economic Demographic Database (SEDD). To fit into the IDS-Geo data structure, we included an object lifeline representation of all of the property units (based on the snapshot time representation of single historical maps and poll-tax registers). The case study verifies that the IDS-Geo model is capable of handling geographic data that can be linked to demographic data.
Fertility in Rostock and Rural Mecklenburg-Schwerin in the 19th Century
Authors: Gruber Siegfried , Scholz Rembrandt
Published: August 2021

In this paper we first set out to evaluate how much the fertility between Rostock as an urban settlement differed from the surrounding rural area of Mecklenburg-Schwerin, in the 19th century. The available microdata allows for a more in-depth analysis compared to previous research based on aggregate data. The censuses of 1819, 1867, and 1900 provide data for using the Own-Children-Method. We analyse the urban-rural difference, the influence of occupational groups in the city of Rostock and its rural surroundings, and finally the influence of migration on fertility in the city of Rostock. Immigration from rural areas and other cities was the main reason for the population increase of Rostock in the 19th century and this could have affected its fertility levels. Overall fertility was higher for rural areas than for urban ones, while marital fertility was more or less the same. Marital fertility was almost the same for all occupational groups, even for the agricultural sector. Migration had no visible effect on marital fertility, which is both interesting and unexpected. The most important factor for the level of overall fertility was the proportion of married people, which was an outcome of the possibilities offered by different economic sectors and environments.
Editorial
Authors: Puschmann Paul , Quaranta Luciana
Published: August 2021

Historical Life Course Studies, a journal in population studies, aims to stimulate and facilitate the implementation of IDS (Intermediate Data Structure, a standard data format for large historical databases), and to publish the results from (comparative) research with the help of large historical databases. The journal publishes not only empirical articles, but also descriptions (of the construction) of new and existing large historical databases, as well as articles dealing with database documentation, the transformation of existing databases into the IDS format, the development of algorithms and extraction software and all other issues related to the methodology of large historical databases.
IDS Transposer: A Users Guide
Authors: Klancher Merchant Emily , Alter George
Published: August 2021

The Intermediate Data Structure (IDS) provides a standard format for storing and sharing individual-level longitudinal life-course data (Alter and Mandemakers 2014; Alter, Mandemakers and Gutmann 2009). Once the data are in the IDS format, a standard set of programs can be used to extract data for analysis, facilitating the analysis of data across multiple databases. Currently, life-course databases store information in a variety of formats, and the process of translating data into IDS can be long and tedious. The IDS Transposer is a software tool that automates this process for source data in any format, allowing database administrators to specify how their datasets are to be represented in IDS. This article describes how the IDS Transposer works, first by going through an example step-bystep, and then by discussing each part of the process and potential options and exceptions in detail.
STATA Programs for Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis
Authors: Quaranta Luciana
Published: August 2021

The Intermediate Data Structure (IDS) provides a common structure for storing and sharing historical demographic data. The structure also facilitates the construction of different open-access software to extract information from these tables and construct new variables. The article Using the Intermediate Data Structure (IDS) to Construct Files for Analysis (Quaranta 2015) presented a series of concepts and programs that allow the user to construct a rectangular episodes file for longitudinal statistical analysis using data stored in the IDS. The current article discusses, in detail, each of these programs, describing their technicalities, structure and syntax, and also explaining how they can be used.
Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis
Authors: Quaranta Luciana
Published: August 2021

The use of longitudinal historical micro-level demographic data for research presents many challenges. The Intermediate Data Structure (IDS) was developed to try to solve some of these challenges by facilitating the storing and sharing of such data. This article proposes an extension to the IDS, which allows the standardization and storage of constructed variables. It also describes how to produce a rectangular episodes file for statistical analysis from data stored in the IDS and presents programs developed for such purpose.
FORMS AND TYPES OF INTERNATIONAL OUTSOURCING
Authors: Komarov Sergey Mikhailovich
Published: August 2021

The article is a clarifying study based on the results of the author’s earlier exploratory research. The types and forms of international outsourcing are considered, reflecting the internal structure of international outsourcing and interaction between participants in international outsourcing. The author proposes new classifications of types and forms of international outsourcing.
USING GUIDED REINVENTION TO DEVELOP TEACHERS’ UNDERSTANDING OF HYPOTHESIS TESTING CONCEPTS
Authors: DOLOR JASON , NOLL JENNIFER
Published: August 2021

Statistics education reform efforts emphasize the importance of informal inference in the learning of statistics. Research suggests statistics teachers experience similar difficulties understanding statistical inference concepts as students and how teacher knowledge can impact student learning. This study investigates how teachers reinvented an informal hypothesis test for categorical data through the framework of guided reinvention. We describe how notions of variability help bridge the development from informal to formal understandings of empirical sampling distributions and procedures for constructing statistics and critical values for conducting hypothesis tests. A product of this paper is a hypothetical learning trajectory that statistics educators could utilize as both a framework for research and as an instructional tool to improve the teaching of hypothesis testing.
First published May 2015 at Statistics Education Research Journal Archives
COLLABORATIVE PROFESSIONAL DEVELOPMENT FOR STATISTICS TEACHING: A CASE STUDY OF TWO MIDDLE-SCHOOL MATHEMATICS TEACHERS
Authors: DE OLIVEIRA SOUZA LEANDRO , ESPASANDIN LOPES CELI , PFANNKUCH MAXINE
Published: August 2021

The recent introduction of statistics into the Brazilian curriculum has presented a multi-problematic situation for teacher professional development. Drawing on research in the areas of teacher development and statistical inquiry, we propose a Teacher Professional Development Cycle (TPDC) model. This paper focuses on two teachers who planned a lesson in collaboration with other teachers, implemented the lesson, and then reported on the implementation. Results indicate that the TPDC model has the potential to begin to upskill teachers with multi-dimensional development needs. TPDC provides an environment for helping teachers overcome their current beliefs and attitudes towards statistics and statistics teaching. The implications of our TPDC model for improving teachers’ practice in statistics are discussed.
First published May 2015 at Statistics Education Research Journal Archives
FORTHCOMING IASE CONFERENCES
Authors: BOROVCNIK MANFRED , PFANNKUCH MAXINE
Published: August 2021

Forthcoming IASE Conferences
First published May 2015 at Statistics Education Research Journal Archives
Editorial and Front Matter
Authors: BOROVCNIK MANFRED , PFANNKUCH MAXINE
Published: August 2021

First published November 2015 at Statistics Education Research Journal Archives
STATISTICS ANXIETY AND WORRY: THE ROLES OF WORRY BELIEFS, NEGATIVE PROBLEM ORIENTATION, AND COGNITIVE AVOIDANCE
Authors: WILLIAMS AMANDA S.
Published: August 2021

Statistics anxiety is a common problem for graduate students. This study explores the multivariate relationship between a set of worry-related variables and six types of statistics anxiety. Canonical correlation analysis indicates a significant relationship between the two sets of variables. Findings suggest that students who are more intolerant of uncertainty, believe that worry is beneficial, possess a negative approach to problems, and utilize cognitive avoidance as a coping strategy are more likely to have higher levels of the six types of statistics anxiety. These results highlight the complexity of graduate students’ statistics anxiety. Suggestions for intervention are discussed.
First published November 2015 at Statistics Education Research Journal Archives
Editorial and Front Matter
Authors: BOROVCNIK MANFRED , PFANNKUCH MAXINE
Published: August 2021

First published May 2016 at Statistics Education Research Journal Archives
Turizmin Yerel Halk Üzerine Sosyo-Kültürel Etkileri: Şirince Köyü Örneği
Authors: Baştan Neslihan Bahar , Alkaya Serap
Published: August 2021

Tourism is defined as a sector that has the feature of continuing development and growth since its emergence In addition to being an important income generating sector for countries. The development of tourism and the increase of people's leisure time intensifies tourism. The intensive realization of tourism causes millions of people to interact every year. This interaction takes place between the tourist and the people in the tourist area. The intertwining of societies also reveals some effects. Effects of tourism on societies; It is divided into environmental, social, economic and socio-cultural impact. The aim of the study is on the socio-cultural effect of tourism. Tourism has many positive and negative socio-cultural effects on society, from traditions to lifestyle. Interacting with thousands of different tourist profiles every day, especially in touristic destinations that are intertwined with tourism, can cause the people in the region to be influenced by the culture of the tourists at a certain level. The intensity and lowness of the effects are related to the development level of the region. While socio-cultural effects are intense at the points where the difference between the society and the tourist is high, the effects are less common in the regions where the difference is less. As a result of this research conducted in Şirince village, which is connected to Selçuk district of İzmir, it is revealed to what extent and at which points local people are affected more or less by the socio-cultural effects of tourism.