bluuebunny/crossref_metadata_2025 huggingface dataset:
Psychosomatic Health
Authors: Turp Maggie
Published: January 2023

Psychosomatic Health is an exploration of the relationship between physical and psychological wellbeing. It draws on postmodern and narrative theory to consider the psychosomatic processes which underpin and enhance health. The text adopts a psychoanalytic stance rooted in the work of D.W. Winnicott, and reviews the work of other major psychoanalytic figures on the question of body and mind, enabling students and practitioners to engage with a variety of perspectives.

Clearly written and well illustrated with examples throughout, the author makes extensive use of infant observation extracts and real-life case studies to explore the experiences of movement and touch and their meanings for the individual. As a basis for working effectively with psychosomatic disturbance, the author introduces her original concept of ‘body storylines’. Case studies explain how this therapeutic approach can be used to encourage therapists to think about their relationship to their experiences, their use of physicality and their use of their bodies as 'barometers of psychological change'.

This broad ranging text pulls together contemporary developments from across a range of disciplines, including psychoanalytic theory, clinical psychology, medicine, complementary medicine and philosophy, to demonstrate a better understanding of clinical practice.
The British Republic 1649-1660
Authors: Hutton Ronald
Published: January 2023

The Interregnum is one of the most colourful and celebrated episodes in the history of the British Isles. Ronald Hutton’s book provides a concise synthesis of recent research into this area - now brought up-to-date to include the research of the 1990s. Hutton analyses the diplomatic, military, political, religious and intellectual developments of the period, and in so doing, tries to determine the real significance of the Interregnum. He also looks at the increasingly studied figure of Cromwell, and how recent research has brought both the man and his government to life.
The Politics of Leisure Policy
Authors: Henry Ian P.
Published: January 2023

The Politics of Leisure Policy provides a systematic account of the impact of social, economic and cultural change on the demand for leisure and of the response of politicians, professionals, and service providers. This substantially revised second edition has been updated throughout and recast to reflect the changed realities of the post Thatcher era, notably the impact of globalization and the search by New Labour for a ‘responsible market’ approach to leisure policy and provision.
The Hollywood Musical
Authors: Feuer Jane
Published: January 2023

When the first edition of this book appeared, at the beginning of the 1980s, the age of the Hollywood musical seemed to be over. Fred and Ginger had long since hung up their dancing shoes, and audiences had lost their taste for the great MGM extravaganzas. But since then the musical has undergone a rebirth, with the rise of teen musicals such as Dirty Dancing and Flashdance. In a chapter specially written for this new edition of her book, Jane Feuer shows how this new development in the genre relates to important changes in the cinema audience itself.
Falling for Therapy
Authors: Sands Anna
Published: January 2023

A book on ‘Falling for Therapy: Psychotherapy from a Client‘s Point of View‘.
The Endless End of Cinema
Authors: Sergi Gianluca , Rydstrom Gary
Published: January 2023

Film is dead! Three little words that have been heard around the world many times over the life of the cinema. Yet, some 120 years on, the old dog’s ability to come up with new tricks and live another day remains as surprising and effective as ever. This book is an exploration of film’s ability to escape its own ‘The End’ title card. It charts the history of cinema’s development through a series of crises that could, should, ought to have ‘ended’ it. From its origins to Covid - via a series of unlikely friendships with sound, television and the internet - the book provides industry professionals, scholars and lovers of cinema with an informing and intriguing journey into the afterlife of cinema and back to the land of the living. It is also a rare collaboration between an Oscar-winning filmmaker and a film scholar, a chronicle of their attempt to bridge two worlds that have often looked at each other with as much curiosity as doubt, but that are bound by the deep love of cinema that they both share.
The Sounds of Spectators at Football
Authors: Graakjær Nicolai Jørgensgaard
Published: January 2023

The sounds of spectators at football (soccer) are often highlighted – by spectators, tourists, commentators, journalists, scholars, media producers, etc. – as crucial for the experience of football. These sounds are often said to contribute significantly to the production (at the stadium) and conveyance (in televised broadcast) of ‘atmosphere.’ This book addresses why and how spectator sounds contribute to the experience of watching in these environments and what characterizes spectator sounds in terms of their structure, distribution and significance. Based on an examination of empirical materials – including the sounds of football matches from the English Premier League as they emerge both at the stadium and in the televised broadcast – this book systematically dissects the sounds of football watching.
CineWorlding
Authors: MacDonald Michael B.
Published: January 2023

Using cine-ethnomusicology as a focus, Cineworlding introduces readers to ways of thinking eco-cinematically. Screens are omnipresent, we carry digital cinema production equipment in our pockets, but this screen-based technological revolution has barely impacted social science scholarship. Mixing existential phenomenological fiction about social science digital cinema research practice followed by theoretical reflection and discussion of methods, this book has emerged from a decade-long inquiry into cineworlding and a desire to help others produce digital media to engage creatively with the digital networks that surround us.
Becoming Noise Music
Authors: Graham Stephen
Published: January 2023

Becoming Noise Music uses a broad and agile music-analytical lens to dive deep into noise music; in doing this, it is the first book to focus exclusively and comprehensively on the music of noise music, as opposed to contextual questions of politics, history or sociology.

Using technical description and a range of visualisation tools in analyzing musical shape and organization, this book applies various hermeneutical lenses to draw meaning out of that analysis. Each chapter begins by setting out the context of the music under discussion and uses a variety of analytical techniques from inside and outside semiotics – the analytical breadth befitting the unusual collection of musics being analyzed. The book takes a descriptive approach that seeks to unite theoretical, technical and conceptual domains in interpreting noise music as style and structure. Relevant to both musicology and noise audiences, this book investigates a vital but analytically underexplored area of avant-garde musical practice.
Kylie Minogue's Kylie
Authors: Renzo Adrian , Giuffre Liz
Published: January 2023

Kylie Minogue’s self-titled debut album produced hits, controversy and a perfect mainstream storm. The then soap and children’s television star ‘crossed over’ to music with hit writer/producers SAW — and the shamelessly commercial approach of all involved saw the ‘real’ music industry get its back up. This book interrogates the way that commercial pop albums are remembered in both the popular music press and in academic research. The authors ask: is there a way of dealing with ‘mainstream’ pop without denigrating the music and (just as importantly) without validating it according to the terms of a ‘high art’ canon? It sheds light on the way that notions of ‘mainstream’ and ‘other’ play out in a local context—specifically, Australia and New Zealand music on a global stage.
A Taste of Honey
Authors: Williams Melanie
Published: January 2023

A Taste of Honey (1961) is a landmark in British cinema history. In this book, Melanie Williams explores the many, extraordinary ways in which it was trailblazing. It is the only film of the British New Wave canon to have been written by a woman – Shelagh Delaney, adapting her own groundbreaking stage play. At the behest of director Tony Richardson and his company, Woodfall, it was one of the first films to be made entirely on location, and was shot in an innovative, rough, poetic style by cinematographer Walter Lassally. It was also the launchpad for a new type of young female star in Rita Tushingham.

Tushingham plays the young heroine, Jo, who finds she is pregnant after her love affair with Jimmy (Paul Danquah), a Black sailor. When Jimmy’s ship sails away, Jo is comforted and supported by her gay friend Geoff (Murray Melvin), while her unreliable mother, Helen (Dora Bryan), has her own life to lead. Candid in its treatment of matters of gender, class, ethnicity, sexuality and motherhood, and highly distinctive in its evocation of place and landscape, A Taste of Honey marked the advent of new possibilities for the telling of working-class stories in British cinema. As such, its rich but complex legacy endures to this day.
Lost in Translation
Authors: Ferriss Suzanne
Published: January 2023

Sofia Coppola’s Lost in Translation (2003) brings two Americans together in Tokyo, each experiencing a personal crisis. Charlotte (Scarlett Johansson), a recent graduate in philosophy, faces an uncertain professional future, while Bob Harris (Bill Murray), an established celebrity, questions his choices at midlife. Both are distant — emotionally and spatially — from their spouses. They are lost until they develop an intimate connection. In the film’s poignant, famously ambiguous closing scene, they find each other, only to separate.

In this close look at the multi-award-winning film, Suzanne Ferriss mirrors Lost in Translation’s structuring device of travel: her analysis takes the form of a trip, from planning to departure. She details the complexities of filming (a 27-day shoot with no permits in Tokyo), explores Coppola’s allusions to fine art, subtle colour palette and use of music over words, and examines the characters’ experiences of the Park Hyatt Tokyo and excursions outside, together and alone. She also re-evaluates the film in relation to Coppola’s other features, as the product of an established director with a distinctive cinematic signature: ‘Coppolism’. Fundamentally, Ferriss argues that Lost in Translation is not only a cinema classic, but classic Coppola too.
Eraserhead
Authors: Henry Claire
Published: January 2023

A surreal and darkly humorous vision, David Lynch's Eraserhead (1977) has been recognised as a cult classic since its breakout success as a midnight movie in the late 1970s.

Claire Henry's study of the film takes us into its netherworld, providing a detailed account of its production history, its exhibition and reception, and its elusive meanings. Using original archival research, she traces how Lynch took his nightmare of Philadelphia to the City of Dreams, infusing his LA-shot film with the industrial cityscapes and sounds of the Callowhill district. Henry then engages with Eraserhead's irresistible inscrutability and advances a fresh interpretation, reframing auteurism to centre Lynch's creative processes as a visual artist and Transcendental Meditation practitioner. Finally, she outlines how Lynch's ‘dream of dark and troubling things’ became a model midnight movie and later grew in reputation and influence across broader film culture.

From the opening chapter on Eraserhead's famous ‘baby’ to the final chapter on the film's tentacular influence, Henry's compelling and authoritative account offers illuminating new perspectives on the making and meaning of the film and its legacy. Through an in-depth analysis of the film's rich mise en scène, cinematography, sound and its embeddedness in visual art and screen culture, Henry not only affirms the film's significance as Lynch's first feature, but also advances a wider case for appreciating its status as a film classic.
Integrasi Budaya Lokal dan Pendidikan Islam: Internalisasi Nilai Moral dalam Geguritan ”Nurani Peduli” pada Siswa Madrasah Ibtidaiyah
Authors: Ali Imron  , Ari Saidul Mujazin
Published: January 2023

Moral education plays an important role in forming superior human beings. This paper aims to describe the moral values ​​contained in poetry or Geguritan "Nurani Peduli" by Handoyo Wibowo and look at the process of internalizing these moral values ​​in students of the Baitul Huda Islamic elementary school Semarang city through the Javanese language course. In addition, this paper also aims to see the implications of internalizing these moral values ​​for students. This paper uses a qualitative-phenomenological type of research that uses students, teachers, and school principals as research subjects. Based on the results of the study it was concluded that: First, the moral values ​​contained in geguritan include harmony, wisdom, humility, awareness, and development of taste. Second, the internalization process is carried out in three stages, namely the information stage by providing material on the moral values ​​contained in Geguritan "Nurani Peduli", the appreciation stage through direction and guidance and exemplary students, and the value application stage by providing motivation and encouragement to students to apply good grades in the form of actions. Third, the implications of internalization can be seen from three aspects, namely cognitive, affective, and psychomotor. Characterized by the integration of learning materials with an attitude of empathy, awareness, tolerance, and a sense of responsibility in social life.
Tafsir Nusantara: Karakteristik Pemikiran Syekh Nawawi al-Bantanī dalam Tafsir Marāḥ Labīd
Authors: Erlan Dwi Cahyo  , Hamdan Maghribi  , Andri Nirwana AN
Published: January 2023

This article aims to look at Shaikh Nawawī al-Bantanī's view in his tafsīr Marāḥ Labīd as a form of his magnum opus among his other works. This article uses a literature review with a content analytical approach to Tafsīr Marāḥ Labīd and other suitable secondary sources to obtain views and facts as well as an analysis of its contents. This article finds that Nawawī al-Bantanī's interpretation of Tafsir Marāḥ Labīd in the socio-historical-political context during the Dutch colonial period made al-Bantanī pay full attention to the problems of the community and nationality. The context of writing Marāḥ Labīd's tafsīr still has quite a strong relevance to the present day, especially in the transformation of values ​​and methods. This article also finds that Marāḥ Labīd's interpretation has the characteristics of language interpretation (linguistics), socio-historical (asbāb al-nuzūl), fiqh, culture, and logical interpretation. It is marked by a holistic-interdisciplinary interpretation of Surah Al-Fatihah which contains three central religious teachings, which include faith, Sufism/morals, and Shari'a. Although Marāḥ Labīd cites many references to classical interpretations, he also provides contextual analysis that relates to his era. From Marāḥ Labīd it was also concluded that al-Bantanī's struggle was not limited to the physical but also through academic transmission.
Penerapan Kebijakan Kepala Sekolah Terhadap Pengembangan Profesi Guru
Authors: Qurban Hajar  , Hen Ardiansyah  , Siama
Published: January 2023

Penelitian ini bertujuan untuk mendeskripsikan kebijakan sekolah dalam peningkatan profesionalisme guru SMP Negeri 1 Hu’u. Penelitian ini juga menggunakan pendekatan deskriptif kualitatif dengan metode pengumpulan data berupa obsevasi, wawancara, dan studi dokumen yang dijadikan sebagai sumber data primer dan data sekunder. Data primer diperoleh dari hasil observasi dan wawancara terhadap Kepala Sekolah dan Guru. Data Sekunder berupa dokumen data-data yang mendukung untuk memperkuat Penerapanan  Kebijakan Sekolah dalam Peningkatan Profesionalisme Guru SMP Negeri 1 Hu’u Kabupaten Dompu. Hasil penelitian menunjukkan bahwa: 1) pelaksanaan kegiatan MGMP, PKB, Diklat, pengembangan kurikulum dari ketiga sekolah tersebut masih kurang, karena tidak semua guru-guru dikirim dalam kegiatan-kegiatan tersebut. Serta kurangnya kesiapan kompetensi professional guru pada sektor pengembangan diri dan pemanfaatan teknologi, informasi dan komunikasi. 2) Kendala yang dihadapi dalam pelaksanaan peningkatan profesionalisme guru adalah pengembangan keprofesionalan secara berkelanjutan yaitu kurangnya pemahaman guru terhadap materi ajar, dan kurangnya kesempatan untuk mengikuti pelatihan-pelatihan sebagai penunjang menjadi guru profesional. 3) Upaya terhadap kendala yang dihadapi dalam pelaksanaan peningkatan profesionalisme guru sudah dilaksanakan terkait pelaksanaan PKB, MGMP, pengembangan kurikulum, diklat pada tingkat sekolah, daerah, maupun provinsi tetapi pencapaian tersebut belum sepenuhnya maksimal. Dinas pendidikan maupun sekolah perlu terus mengupayakan peningkatan profesionalisme guru. Analisis ini berdampak pada terciptanya penyelenggaraan pendidikan yang lebih baik, meningkatkan kinerja dan kualitas guru untuk menjadi guru yang professional, dan terwujudnya pemahaman masyarakat terhadap pentingnya pendidikan.
Pengaruh Bimbingan Belajar dan Motivasi Belajar Dengan Prestasi Belajar Matematika Melalui Model Pembelajaran STAD
Authors: Cahyo Nugroho Dwi , Ardianik  , Sucipto
Published: January 2023

The aims of this study were to find out (1) the effect of tutoring on mathematics learning achievement through the Student Team Achievement Division (STAD) cooperative learning model (2) the effect of learning motivation on mathematics learning achievement through the Student Team Achievement Division (STAD) cooperative learning model. ) (3) the effect of tutoring and learning motivation on mathematics learning achievement through the cooperative learning model type of cooperative Student Team Achievement Division (STAD). This study uses a quantitative approach and a type of correlational research. The population in this study were students of class X MA Sunan Ampel Surabaya while the sample used was students of class X IPS 2 MA Sunan Ampel Surabaya. This research instrument includes, questionnaires and tests. The test performed is a simple regression test and multiple regression. The results of the study were (1) there was no significant effect of tutoring on mathematics learning outcomes through the STAD Type Cooperative learning model. (2) There is a positive and significant effect of learning motivation on mathematics learning outcomes through the STAD Type Cooperative learning model. (3) The R square value of 0.200 or 20% of the results of learning mathematics through cooperative learning models of the Student Team Achievement Division (STAD) type are influenced by tutoring and learning motivation. While the remaining 80% is influenced by other factors not examined in this study.
Studi Komparasi Kemampuan Representasi Matematis Antara Model Pembelajaran Connected Mathematics Project dan Problem Based Learning
Authors: Githa Niermala Riescillia  , Lusiana Prastiwi  , Muhajir  , Siti Musrifah
Published: January 2023

Penelitian ini bertujuan untuk mengetahui ada tidaknya perbedaan kemampuan representasi matematis antara siswa yang memperoleh pembelajaran menggunakan model pembelajaran Connected Mathematics Project dengan siswa yang memperoleh pembelajaran menggunakan model Problem Based Learning. Sampel penelitian ini adalah siswa kelas VIIIA dan VIIIB di SMPN 18 Surabaya. Pendekatan yang digunakan adalah pendekatan eksperimen. Instrumen penelitian terdiri atas pretest dan posttest yang berisi soal-soal untuk mengetahui kemampuan representasi matematis siswa (kemampuan representasi visual, verbal, dan simbolik) pada materi bangun ruang sisi datar. Jenis penelitian ini adalah kuantitatif dimana metode analisis datanya menggunakan analisis statistika uji normalitas data, homogenitas, dan independent sample t-test dengan software SPSS 21. Hasil penelitian menunjukkan bahwa terdapat perbedaanmodel pembelajaran Connected Mathematics Project dan Model Problem Based Learning terhadap kemampuan representasi matematis pokok bahasan bangun ruang sisi datar di kelas VIII SMPN 18 Surabaya dan secara keseluruhan nilai rata-rata kelas CMP dan kelas PBL memiliki perbedaan yang signifikan (p = 0,006). Dapat disimpulkan bahwa model pembelajaran CMP dan PBL dapat meningkatkan kemampuan representasi matematis siswa
Kemampuan Pemecahan Masalah Matematika Siswa dengan Menggunakan Model Pembelajaran Problem Based Learning (PBL) dan Group Investigation (GI)
Authors: Islamiati Nur
Published: January 2023

Penelitian ini bertujuan untuk mengetahui ada atau tidak perbedaan kemampuan pemecahan masalah matematis antara siswa yang menerapkan model pembelajaran Problem Based Learning (PBL) dengan siswa yang menerapkan pembelajaran Group Investigation (GI). Penelitian ini merupakan penelitian dengan pendekatan kuantitatif berjenis true-eksperimental dengan post-test only control group design. Populasi pada penelitian ini adalah seluruh siswa kelas X SMA IT Ad-Dakwah. Sampel pada penelitian adalah kelas XA  yang diajarkan dengan menggunakan medel pembelajaran problem based learing (PBL) dan XB diajarkan dengan menggunakan group investigation (GI). Jumlah sampel penelitian adalah 40 siswa. Intrumen penelitian ini adalah menggunakan lembar tes akahir kemampuan pemecahan masalah. Teknik pengumpulan data menggunakan tes. Teknik analisis data menggunakan analisis ANOVA satu jalur (one way ANOVA) dengan uji prasyarat adalah Uji Normalitas dan Uji Homogenitas. Analisis menggunakan aplikasi SPSS versi 29.0 for Window. Hasil penelitian yang peroleh adalah adanya perbedaan yang signifikan kemempuan pemecahan masalah siswa yang belajar dengan dengan menggunakan model pembelajaran Problem Based Learning (PBL) dengan kemampuan pemecahan masalah siswa yang belajar menggunakan model pembelajaran Group Investigation (GI). Diperoleh nilai signifikansi lebih kecil dari taraf signifikansi 0,05 (5%) atau 0,001 < 0,05 dan F hitung lebih besar dari F table atau 12, 661 > 4, 098. Nilai rata-rata siswa PBL sebesar 80,90 dan siswa GI sebesar 73,80
A grid dataset of leaf age-dependent LAI seasonality product (Lad-LAI) over tropical and subtropical evergreen broadleaved forests
Authors: Yang Xueqin , Chen Xiuzhi , Ren Jiashun , Yuan Wenping , Liu Liyang , Liu Juxiu , Chen Dexiang , Xiao Yihua , Wu Shengbiao , Fan Lei , Dai Xiaoai , Su Yongxian
Published: January 2023

Abstract. Quantification of large-scale leaf age-dependent leaf area index has been lacking in tropical and subtropical evergreen broadleaved forests (TEFs) despite the recognized importance of leaf age in influencing leaf photosynthetic capacity in this region. Here, we simplified the canopy leaves of TEFs into three age cohorts, i.e., young, mature and old one, with different photosynthesis capacity (Vc,max) and produced a first grid dataset of leaf age-dependent LAI product (referred to as Lad-LAI) over the continental scale from satellite observations of TROPOMI (the TROPOspheric Monitoring Instrument) sun-induced chlorophyll fluorescence (SIF) as a proxy of leaf photosynthesis. The seasonality of three LAI cohorts from the new Lad-LAI products agree well at the three sites (one in subtropical Asia and two in Amazon) with very fine collections of monthly LAI of young, mature and old leaves. Continental-scale comparisons with independent Moderate-resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) products and 53 samples of in situ measurements of seasonal litterfall data also demonstrate the robustness of the LAI seasonality of the three leaf age cohorts. The spatial patterns clustered from the three LAI cohorts coincides with those clustered from climatic variables. And the young and mature LAI cohorts perform well in capturing a dry-season green-up of canopy leaves across the wet Amazonia areas where mean annual precipitation exceeds 2,000 mm yr−1, consistent with previous satellite data analysis. The new Lad-LAI products are primed to diagnose the adaption of tropical and subtropical forest to climate change; and will also help improve the development of phenology modules in Earth System Models. The proposed satellite-based approaches can provide reference for mapping finer temporal and spatial resolution LAI products with different leaf age cohorts. The Lad-LAI products are available at https://doi.org/10.6084/m9.figshare.21700955.v2 (Yang et al., 2022).
History of EISCAT – Part 6: The participation of Japan in the EISCAT Scientific Association
Authors: Matuura Nobuo , Fujii Ryoichi , Nozawa Satonori
Published: January 2023

Abstract. This paper describes the details of the Japan's participation in the European Incoherent Scatter (EISCAT) Radar Scientific Association (hereinafter abbreviated as "the EISCAT Association") as an official associate country in 1996, emphasizing strong collaborations with Norwegian scientists and the EISCAT Association.
DEVELOPMENT OF A VOXEL BASED LOCAL PLANE FITTING FOR MULTI-SCALE REGISTRATION OF SEQUENTIAL MLS POINT CLOUDS
Authors: Moradi L. , Saadatseresht M. , Shokrzadeh P.
Published: January 2023

Abstract. The Mobile Laser Scanner (MLS) system is one of the most accurate and fastest data acquisition systems for indoor and outdoor environments mapping. Today, to use this system in an indoor environment where it is impossible to capture GNSS data, Simultaneous Localization and Mapping (SLAM) is used. Most SLAM research has used probabilistic approaches to determine the sensor position and create a map, which leads to drift error in the final result due to their uncertainty. In addition, most SLAM methods give less importance to geometry and mapping concepts. This research aims to solve the SLAM problem by considering the adjustment concepts in mapping and geometrical principles of the environment and proposing an algorithm for reducing drift. For this purpose, a model-based registration is suggested. Correspondence points fall in the same voxel by voxelization, and the registration process is done using a plane model. In this research, two pyramid and simple registration methods are proposed. The results show that the simple registration algorithm is more efficient than the pyramid when the distance between sequential scans is not large otherwise, the pyramid registration is used. In the evaluation, by using simulated data in both pyramid and simple methods, 96.9% and 97.6% accuracy were obtained, respectively. The final test compares the proposed method with a SLAM method and ICP algorithm, which are described further.
EFFECT OF KEYFRAMES EXTRACTION FROM THERMAL INFRARED VIDEO STREAM TO GENERATE DENSE POINT CLOUD OF THE BUILDING'S FACADE
Authors: Motayyeb S. , Samadzadegan F. , Dadrass Javan F. , Hosseinpour H. R.
Published: January 2023

Abstract. Keyframes extraction is required and effective for the 3D reconstruction of objects from a thermal video sequence to increase geometric accuracy, reduce the volume of aerial triangulation calculations, and generate the dense point cloud. The primary goal and focus of this paper are to assess the effect of keyframes extraction from the thermal infrared video sequence on the geometric accuracy of the dense point cloud generated. The method of keyframes extraction of thermal infrared video presented in this paper consists of three basic steps. (A) The ability to identify and remove blur frames from non-blur frames in a sequence of recorded frames. (B) The ability to apply the standard baseline condition between sequence frames to establish the overlap condition and prevent the creation of degeneracy conditions. (C) Evaluating degeneracy conditions and keyframes extraction using Geometric Robust Information Criteria (GRIC). The performance evaluation criteria for keyframes extraction in the generation of the thermal infrared dense point cloud in this paper are to assess the increase in density of the generated three-dimensional point cloud and reduce reprojection error. Based on the results and assessments presented in this paper, using keyframes increases the density of the thermal infrared dense point cloud by about 0.03% to 0.10% of points per square meter. It reduces the reprojection error by about 0.005% of pixels (2 times).
AUTOMATIC EXTRACTION OF CONTROL POINTS FROM 3D LIDAR MOBILE MAPPING AND UAV IMAGERY FOR AERIAL TRIANGULATION
Authors: Naimaee R. , Saadatseresht M. , Omidalizarandi M.
Published: January 2023

Abstract. Installing targets and measuring them as ground control points (GCPs) are time consuming and cost inefficient tasks in a UAV photogrammetry project. This research aims to automatically extract GCPs from 3D LiDAR mobile mapping system (L-MMS) measurements and UAV imagery to perform aerial triangulation in a UAV photogrammetric network. The L-MMS allows to acquire 3D point clouds of an urban environment including floors and facades of buildings with an accuracy of a few centimetres. Integration of UAV imagery, as complementary information enables to reduce the acquisition time of measurement as well as increasing the automation level in a production line. Therefore, a higher quality measurements and more diverse products are obtained. This research hypothesises that the spatial accuracy of the L-MMS is higher than that of the UAV photogrammetric point clouds. The tie points are extracted from the UAV imagery based on the well-known SIFT method, and then matched. The structure from motion (SfM) algorithm is applied to estimate the 3D object coordinates of the matched tie points. Rigid registration is carried out between the point clouds obtained from the L-MMS and the SfM. For each tie point extracted from the SfM point clouds, their corresponding neighbouring points are selected from the L-MMS point clouds, and then a plane is fitted and then a tie point was projected on the plane, and this is how the LiDAR-based control points (LCPs) are calculated. The re-projection error of the analyses carried out on a test data sets of the Glian area in Iran show a half pixel size accuracy standing for a few centimetres range accuracy. Finally, a significant increasing of speed up in survey operations besides improving the spatial accuracy of the extracted LCPs are achieved.
HOTSPOT ANALYSIS AND COMPARISON BETWEEN SATELLITE-DERIVED AEROSOL OPTICAL DEPTH AND GROUND-BASED PARTICULATE MATTER MEASUREMENTS IN METRO MANILA
Authors: Recto B. A. B. , Torres R. A. B. , Ramos R. V. , Tamondong A. M. , Cayetano M. G. , Jiao B. J. D.
Published: January 2023

Abstract. Highly urbanized regions such as the Metro Manila area in the Philippines contribute to the deterioration of air quality through overpopulation, excessive vehicle emissions, and industrialization. However, the limited number of ground monitoring stations hinders the detailed estimation of the region’s overall air quality. Satellite-derived air pollutant concentrations have been used in several research studies as a substitute or supplementary to ground-based data due to their extensive spatial and temporal coverage. Using the aerosol optical depth (AOD) from the MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm and ground measurements of coarse particulate matter (PM10), this study explores the comparison between satellite-derived and ground-based air pollutant concentrations measured from 2017 to 2020 through trend analysis of monthly average values per city. With 16 stations located in different cities, the monthly average values of AOD vs PM10 showed inconsistent results due to significant gaps in the ground data. Through optimized hotspot analysis, it was found that 7.24% of the Metro Manila region are considered hotspots using the MAIAC AOD values from 2017 to 2019 (pre-pandemic). From 2018 to 2020 (pandemic), 23.86% of Metro Manila are counted as hotspots. The AOD derived from satellite imagery and hotspot analysis can be used for future studies that focus on the development of models to predict ground pollutant values and the designation of non-attainment areas.
SHORELINE EXTRACTION USING TIME SERIES OF SENTINEL-2 SATELLITE IMAGES BY GOOGLE EARTH ENGINE PLATFORM
Authors: Rostami E. , Sharifi M. A. , Hasanlou M.
Published: January 2023

Abstract. In recent decades, global warming and sea level rise, population growth, and intensification of human activities, have directly affected the coasts and as such, their monitoring for the accretion and retreat are among the issues that are considered by the coastal countries. This study, compares two supervised classification algorithms for classifying Sentinel-2 satellite imagery for shoreline extraction. Median monthly images from 2020/01 to 2021/12 are taken and classified by Random Forest (RF) and Support Vector Machine (SVM) algorithms. By validating the maps, it is found that the RF algorithm has better accuracy and as such by averaging the accuracy of all maps, the overall accuracy (OA) values of 97.18% and the kappa coefficient (KC) of 0.97, and the mean overall accuracy and kappa coefficient of maps from SVM algorithm of 85.15% and 0.79, respectively, is obtained. After extracting the shorelines, the Digital Shoreline Analysis System (DSAS) is used to calculate the displacement rate. By calculating the Linear Regression Rate (LRR) factor, it is found that in 91% of transects (166 transects) we see the shoreline retreat to land. In 54% of them, the average rate of the retreat is 5.42 meters per year and in only 9% (16 transects) we see the accretion towards the sea.
EXPLANATORY ANALYSES OF WORK TRIP GENERATION USING MIXED GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR)
Authors: Shahri M. , Ghannadi M. A.
Published: January 2023

Abstract. In transportation planning, forecasts have commonly followed the sequential four-step model in which, trip generation (production and attraction) plays a critical role. Among the methods applied to model trip generation, regression with Gaussian distribution of errors are recognized as the most prevailing techniques to describe the relationships between production/attraction and explanatory variables by estimating the global, fixed coefficients. Considering that, trip generation is almost impressed by spatial factors which vary over the study area; the main objective of this research is to apply Mixed Geographically Weighted Regression (MGWR) on 253 traffic analysis zones (TAZs) in Mashhad, Iran, by applying travel demand data and relating factors in 2018 to investigate the spatial non-stationarity which are not revealed when global specifications are applied. The influence of certain explanatory variables on response variables may be global, whereas others are local, accordingly, MGWR performs better compared with geographically weighted regression. The results of Moran’s I as spatial autocorrelation index performing on residuals of global, mixed models proved the reliability of the proposed model over the traditional one. The spatial model indicated an improvement in model performance using goodness-of-fit criteria with the coefficient of determination varying from 0.84–0.95 compared with 0.76 and 0.6 in the conventional model. The results of such analysis can provide descriptive and predictive tools at the planning-level for decision-makers.
MAPPING OF URBAN FLOOD INUNDATION USING 3D DIGITAL SURFACE MODEL AND SENTINEL-1 IMAGES
Authors: Sharif M. , Heidari S. , Hosseini S. M.
Published: January 2023

Abstract. Flooding in urban areas poses serious risks to citizens, infrastructures, and transportation. Precise and real-time delineation of the inundated areas is crucial for a better understanding of the extent of damage and high-risk areas and people evacuation actions. It also increases citizens' awareness that living in areas with high flood risk. Yazd city is characterized by low rainfall (<70 mm/yr) and the desert climate is considered the study area of this research. This city encountered a flash flood event that was generated by severe rainfall with a depth of 75 mm in 3hr (i.e., the intensity of 25 mm/hr) on July 29, 2022. Many strategic infrastructures of this city especially the railway station were flooded, which caused heavy casualties and financial losses. This study aims to monitor the flood inundated areas of Yazd city due to this flood event using remote sensing. In this research, the Sentinel-1 polarimetric radar images and the 3D model of the Yazd city surf ace were used to delineate the flooded areas. The field information of the flooded areas and the available Sentinel-1 images during or near the occurrence time of maximum flood extension were adopted. The Convolutional Neural Network (CNN) model in combination with the 3D model of the studied area was used to identify the flooded pixels in the city of Yazd. The results showed that the adopted 3D model and CNN algorithm indicated a good ability to identify flooded areas with an accuracy of 88% and a kappa coefficient of 0.83.
REGISTRATION, GEOREFERENCING AND PROCESSING OF MULTIPLE LASER SCANS ACQUIRED BY TERRESTRIAL LASER SCANNER FOR ESTIMATING TREE MORPHOLOGICAL PARAMETERS
Authors: Verma M. K. , Yadav M.
Published: January 2023

Abstract. The trees inventory is very important for forestry and environment-related issues, where tree morphology is one of the key components. LiDAR technology is being selected over other techniques for the trees three-dimensional mapping and inventory. In this paper a methodology for point cloud registration and georeferencing of LiDAR point cloud, and computation of tree morphological parameters, namely tree height, crown diameter, crown projection area is presented. The instruments used for the point cloud acquisition, registration and georeferencing were total station, global navigation satellite system, terrestrial laser scanner. Data from all three instruments were transformed into a common coordinate system that is Universal Transverse Mercator coordinate system. In transformed point cloud, the z-axis of the coordinate system is towards plumb line. The tree height, crown diameter, crown projection area are computed based on point cloud-derived canopy height model and tree top detection.
Warning water level determination and its spatial distribution in coastal areas of China
Authors: Liu Shan , Shi Xianwu , Liu Qiang , Tan Jun , Sun Yuxi , Liu Qingrong , Guo Haoshuang
Published: January 2023

Abstract. The warning water level is the default water level at which storm
surges may occur along a coast and indicates a stage of alert. This level
forms the basis for storm-surge forecasting, and prewarning is an important
reference for governments and aids in the decision-making process for
storm-surge prevention and disaster risk mitigation. The warning water level
has four categories (blue, yellow, orange, and red) based on water level
observational data. Taking into account the actual defense capability of the
shore, we determined the warning water level by comprehensively analyzing
factors, including the high water level at the typical return period of each
shore section, wave exposure degree and defense capability of storm-surge
protection facilities, and the shore-section importance level. Here, we
proposed a quantitative method for determining the warning water level, and
the application of this method was introduced by determining the warning water level at the shore section of Zhifu District (Yantai City,
Shandong Province, China) as an example. We analyzed the spatial
distribution characteristics of the warning water levels for 259 shore
sections along the coast and revealed their current marine disaster
prevention capabilities. Our findings provide a valid direction for
determining future warning water levels and a reliable scientific reference
for redetermining warning water levels in coastal areas while improving
marine disaster prevention and protection capabilities.
How uncertain are precipitation and peak flow estimates for the July 2021 flooding event?
Authors: Saadi Mohamed , Furusho-Percot Carina , Belleflamme Alexandre , Chen Ju-Yu , Trömel Silke , Kollet Stefan
Published: January 2023

Abstract. The disastrous July 2021 flooding event made us question the ability of current hydrometeorological tools in providing timely and reliable flood forecasts for unprecedented events. This is an urgent concern since extreme events are increasing due to global warming, and existing methods are usually limited to more frequently observed events with the usual flood generation processes. For the July 2021 event, we simulated the hourly
streamflows of seven catchments located in western Germany by combining
seven partly polarimetric, radar-based quantitative precipitation estimates
(QPEs) with two hydrological models: a conceptual lumped model (GR4H) and a
physically based, 3D distributed model (ParFlowCLM). GR4H parameters were
calibrated with an emphasis on high flows using historical discharge
observations, whereas ParFlowCLM parameters were estimated based on
landscape and soil properties. The key results are as follows. (1) With no
correction of the vertical profiles of radar variables, radar-based QPE
products underestimated the total precipitation depth relative to rain
gauges due to intense collision–coalescence processes near the surface, i.e., below the height levels monitored by the radars. (2) Correcting the vertical profiles of radar variables led to substantial improvements. (3) The probability of exceeding the highest measured peak flow before July 2021 was highly impacted by the QPE product, and this impact depended on the catchment for both models. (4) The estimation of model parameters had a
larger impact than the choice of QPE product, but simulated peak flows of
ParFlowCLM agreed with those of GR4H for five of the seven catchments. This
study highlights the need for the correction of vertical profiles of
reflectivity and other polarimetric variables near the surface to improve
radar-based QPEs for extreme flooding events. It also underlines the large
uncertainty in peak flow estimates due to model parameter estimation.
Estimating degree-day factors of snow based on energy flux components
Authors: Ismail Muhammad Fraz , Bogacki Wolfgang , Disse Markus , Schäfer Michael , Kirschbauer Lothar
Published: January 2023

Abstract. Meltwater from mountainous catchments dominated by snow and ice is a valuable source of fresh water in many regions. At mid-latitudes, seasonal snow cover and glaciers act like a natural reservoir by storing precipitation during winter and releasing it in spring and summer. Snowmelt
is usually modelled either by energy balance or by temperature-index
approaches. The energy balance approach is process-based and more
sophisticated but requires extensive input data, while the temperature-index approach uses the degree-day factor (DDF) as a key parameter to estimate melt of
snow and ice merely from air temperature. Despite its simplicity, the
temperature-index approach has proved to be a powerful tool for simulating
the melt process especially in large and data-scarce catchments. The present study attempts to quantify the effects of spatial, temporal, and climatic conditions on the DDF of snow in order to gain a better understanding of which influencing factors are decisive under which conditions. The analysis is based on the individual energy flux components; however, formulas for estimating the DDF are presented to account for situations where observed data are limited. A detailed comparison between field-derived and estimated DDF values yields a fair agreement with bias = 0.14 mm ∘C−1 d−1 and root mean square error (RMSE) = 1.12 mm ∘C−1 d−1. The analysis of the energy balance processes controlling snowmelt indicates
that cloud cover and snow albedo under clear sky are the most decisive
factors for estimating the DDF of snow. The results of this study further
underline that the DDF changes as the melt season progresses and thus also with altitude, since melting conditions arrive later at higher elevations. A brief analysis of the DDF under the influence of climate change shows that the DDFs are expected to decrease when comparing periods of similar degree days, as melt will occur earlier in the year when solar radiation is lower, and albedo is then likely to be higher. Therefore, the DDF cannot be treated as a constant
parameter especially when using temperature-index models for forecasting
present or predicting future water availability.
John Braithwaite (2022) Macrocriminology and Freedom. Canberra: ANU Press
Authors: Pali Brunilda
Published: January 2023

Brunilda Pali reviews Macrocriminology and Freedom by John Braithwaite
Özel Öğretim Kurumlarında Stratejik Finansal Yönetim Uygulamaları
Authors: Salman Sevgi
Published: January 2023

In this study, it is aimed to examine the strategic financial management practices in private educational institutions. How they do not have visibility on the scale of the global financial companies and employment opportunities, considering that private education institutions domestically and abroad, as well as an understanding of economic growth, increasing employment opportunities for their contributions to economic and social development model constitutes the basis for vibrant and productive. For this reason, especially after 1980, the attention of researchers and experts in the fields of business administration, economics and management in our country, as well as all over the world, has turned to private educational institutions. In this context, private educational institutions have been generally accepted as a source of flexibility, productivity, innovation and dynamism in both developed and developing countries. When the literature related to private educational institutions is examined, it is seen that the research, examinations and studies carried out so far constitute a very important unit. The financial mechanisms of private educational institutions are explained by the differentiation between national administrations, Dectoral and financing characteristics, and different levels of development of national administrations. Private educational institutions, which are one of the economic principles and financial basic structures of countries, have significant advantages in a competitive environment with companies with strong capital working in the same field. Key Words: Private Educational Institution, Educational Management, Financial Management
Küresel Eğitim Şirketlerinde Ödeme ve Ücretlendirme Yönetimi Çalışmalarının İncelenmesi
Authors: Denli Saniye
Published: January 2023

The aim of this study is to contribute to the literature on pay and remuneration by providing an examination of pay and remuneration management studies in global education enterprises. Another name for pay and remuneration management in enterprises is business valuation. In this context, business valuation is a method of determining the value of the business with the help of business analysis. Thus, with the help of job analyzes determined in the form of job description, job requirement and job classification, the studies to be carried out can be determined according to the criteria of importance and evaluations of the work can be made on a methodical, technical and theoretical basis. The information obtained as a result of business analysis constitutes the axis of business valuation. In line with this, yet another global education establishments payment methods and pricing, i.e. if a different business valuation is the definition of global education establishments of the work done in that global education management is emerging as a function that generates the relative value of all jobs in between. Key Words: Training Company, Pay, Remuneration, Job Valuation