bluuebunny/crossref_metadata_2025 huggingface dataset:
MENINGKATKAN MOTIVASI BELAJAR PADA PENDIDIKAN PANCASILA DAN KEWARGANEGARAAN MELALUI BLENDED LEARNING
Authors: Hendar Hendrawan Jajang , Sofyan Edy , Fadilla Suryana Anisya
Published: August 2024

Pandemi Covid-19 yang merebak pada tahun 2020 menunjukkan bahwa peserta didik mengalami penurunanmotivasi dalam belajar termasuk pada mata pelajaran Pendidikan Kewarganegaraan sehingga sekolahmencoba menerapkan blended learning yang memadukan pembelajaran daring dengan pembelajaranoff-network sebagai upaya meningkatkan keinginan siswa untuk belajar Penelitian ini untuk menemukanhubungan antara blended learning dengan motivasi belajar PPK. Hasil penelitian menunjukkan bahwaterdapat hubungan positif antara blended learning dengan motivasi belajar, hal ini dibuktikan berdasarkanhasil perhitungan nilai (r) korelasi momen produk sebesar 0. 710 yang artinya bahwa blended learningsangat berkaitan dengan Motivasi Belajar Siswa pada Mata Pelajaran PPKn, dan terdapat pengaruhyang signifikan antara blended learning terhadap motivasi belajar siswa pada mata pelajaran PPKn.
Alto QI, Múltiplas Carreiras: Explorando a Relação entre Inteligência Elevada e Pluralidade Profissional e Educacional
Authors: Agrela Rodrigues Fabiano de Abreu , Moreira da Silveira Francis , Silva Gizela , Francesco Longo André Di
Published: August 2024

A relação entre alto QI (Quociente de Inteligência) e a tendência a seguir múltiplas carreiras e formações é uma questão central para a compreensão do desenvolvimento pessoal e profissional de indivíduos altamente inteligentes. Este estudo investiga a prevalência de múltiplas carreiras entre pessoas com alto QI, explora as motivações por trás dessas escolhas e analisa os desafios e benefícios associados. O Projeto Gifted debate desempenha um papel crucial ao fornecer uma base de dados robusta sobre indivíduos de alto QI, facilitando a análise de suas trajetórias de vida e contribuindo para o desenvolvimento de teorias e práticas educacionais e profissionais mais eficazes. Os resultados desta pesquisa podem fornecer uma compreensão mais clara de como indivíduos com alto QI gerenciam suas vidas complexas e multifacetadas, promovendo seu potencial individual e coletivo.
AS PESQUISAS DE PÓS-GRADUAÇÃO STRICTO SENSU DA REGIÃO SUL DO BRASIL: POLÍTICAS PÚBLICAS DE INCLUSÃO DIGITAL E A EDUCAÇÃO FÍSICA
Authors: Morais Karine Helena , Serpa Paulo Roberto
Published: August 2024

Essa revisão objetiva analisar pesquisas de pós-graduação Stricto Sensu realizadas na região Sul do Brasil, voltadas para a temática sobre políticas públicas de inclusão digital na educação básica. Busca-se compreender as tecnologias e sua relação com o ensino nas escolas, onde tendências tradicionais prevalecem, enquanto fora dela, professores e alunos encaram um mundo virtualizado. Com base nas pesquisas de pós-graduação Stricto Sensu encontradas na região Sul do Brasil, analisamos atentamente as pesquisas referentes à Educação Física, com recorte temporal de 1997 a 2022. A busca foi realizada no portal de busca da Biblioteca Digital Brasileira de Teses e Dissertações (BDTD), englobando sistemas de informações de pesquisas de pós-graduação Stricto Sensu (teses e dissertações) no Brasil. De acordo com os resultados obtidos, e considerando a importância da incorporação das tecnologias no contexto escolar, bem como a inserção da escola em uma cultura digital, esta revisão aconselha que pesquisas futuras sejam realizadas referente à temática da utilização das tecnologias como estratégia potencializadora nas escolas, contribuindo com a aprendizagem dos discentes. Estudos voltados à Educação Física e à inclusão digital precisam levantar problemáticas e reflexões que não fiquem à mercê de uma abordagem pedagógica que não acompanha as gerações virtualizadas que estamos ensinando.
A EVOLUÇÃO DAS EMBALAGENS NO BRASIL DE 1960 A ATUALIDADE - IMPACTOS CULTURAIS E ECONÔMICOS: UM GUIA VISUAL E PEDAGÓGICO
Authors: VIANA JUNIOR Carlos José , VIANA Bruna Carla Leite
Published: August 2024

A história das embalagens no Brasil, desde a década de 1960 até os dias atuais, revela um panorama complexo e multifacetado, refletindo as profundas transformações econômicas, sociais e culturais vivenciadas pelo país. Neste período, as embalagens transcenderam seu papel meramente funcional de proteção e armazenamento, tornando-se artefatos essenciais na construção de identidades de marca e na mediação das relações entre produtores e consumidores. Este contexto histórico e sociológico permite compreender as embalagens como elementos intrinsecamente ligados às dinâmicas de consumo e às práticas mercadológicas que se consolidaram ao longo das últimas seis décadas. Objetivo: O presente estudo tem como objetivo investigar a evolução das embalagens no Brasil, a partir de 1960 até a atualidade, sob uma perspectiva interdisciplinar que abrange a história econômica, a psicologia do consumo e a semiótica cultural. Busca-se, assim, elucidar o papel das embalagens como agentes de transformação econômica e cultural, evidenciando sua importância não apenas na preservação e comercialização de produtos alimentícios, mas também como veículos de comunicação e expressão simbólica. Pretende-se, ainda, identificar as inter-relações entre as inovações tecnológicas nas embalagens e as mudanças nos hábitos de consumo, analisando como essas dinâmicas contribuíram para a formação de uma identidade cultural e mercadológica brasileira. Metodologia: A investigação foi conduzida mediante uma abordagem metodológica interdisciplinar, ancorada nos princípios epistemológicos da história social e da sociologia do consumo, com ênfase em análises qualitativas e quantitativas. Foram utilizados métodos de pesquisa documental e iconográfica, a fim de examinar a evolução dos materiais e das formas das embalagens ao longo das décadas. Além disso, foram realizadas análises de conteúdo em anúncios publicitários e embalagens históricas, com o intuito de desvelar as narrativas culturais e mercadológicas implícitas. A pesquisa também incorporou uma revisão bibliográfica extensa, integrando estudos da psicologia do consumidor e da semiótica, para compreender os impactos psicológicos e simbólicos das embalagens no comportamento do consumidor brasileiro. Conclusão: A análise crítica da evolução das embalagens no Brasil, de 1960 à atualidade, demonstra que essas estruturas não apenas acompanharam, mas também impulsionaram as transformações econômicas, sociais e culturais do país. As embalagens, ao se tornarem agentes de comunicação simbólica, refletem as dinâmicas de globalização e modernização que influenciaram a sociedade brasileira nas últimas décadas. O estudo propõe novas perspectivas de pesquisa que possam explorar as inter-relações entre sustentabilidade, inovação tecnológica e cultura, considerando os desafios contemporâneos da economia circular e a preservação das identidades regionais.
Protein Content and Overrun Value in Coconut Milk-Based Ice Cream with Cashew Milk Combination
Authors: Afriana Nerita , Kurnia Pramudya
Published: August 2024

The purpose of this study is to determine the protein content and overrun value of ice cream made from a combination of coconut milk and cashew milk. This study is an experimental research with a factorial design and a research design in the form of a Complete Randomized Design (CRD). The CRD consisted of three treatments with two repetitions, using coconut milk and cashew milk in the percentages of 60:40%, 50:50%, and 50:60%. The results obtained were processed by editing, coding, tabulating, and entering data. For data analysis, a statistical test in the form of the One-Way ANOVA Test was used to determine the effect of treatment on each different formula regarding protein content and overrun value.The results showed that there was a significant difference in the use of coconut milk and cashew milk on the protein content, with a value of p=0.000 (<0.005), and the overrun value, with a value of p=0.003 (<0.005). the protein content in all ice cream samples remained below the Indonesian National Standard (SNI) minimum requirement of 2.7%. The highest protein content is ice cream A (60%: 40%) at 1.409%, followed by ice cream B (50%:50%) at 1.284%, and ice cream C (40%:60%) with the lowest protein content at 1.192%. The overrun value met the SNI (Indonesian National Standard) for industrial scale ice cream with ice cream A having an highest overrun value of 73.92%, following ice cream B with an overrun value of 65.295% meets the small industry standard, and ice cream.
Pengaruh Penambahan Ekstrak Jahe Merah (Zingiber officinale Var Rubrum rhizoma) dalam Pembuatan Nugget dengan Bahan Dasar Udang Vannamei (Litopenaeus vannamei)
Authors: Saman Widya Rahmawaty , Mahaling Efraim
Published: August 2024

Udang merupakan salah satu jenis krustasea dan merupakan salah satu hasil perikanan yang memiliki nilai ekonomi tinggi, meskipun bagian yang dapat dimakan hanya sekitar 40%, namun rasanya lebih enak dibandingkan dengan daging ikan atau hasil perikanan lainnya. Salah satu jenis udang yang banyak ditemui di pasar atau supermarket adalah udang jenis kaki putih atau biasa disebut dengan nama udang vannamei (Litopenaeus vannamei) yang berasal dari Pantai Pasifik Barat Amerika Latin, dari Peru di bagian selatan hingga Meksiko bagian utara. . Udang vaname mulai masuk ke Indonesia dan resmi dilepasliarkan pada tahun 2001. Udang vaname merupakan salah satu udang yang memiliki nilai ekonomis dan merupakan alternatif jenis udang yang dapat dibudidayakan di Indonesia, selain udang windu (Panaeus monodon) dan udang putih (Panaeus merguensis). Udang vaname relatif mudah untuk dibudidayakan. Hal inilah yang membuat banyak petambak udang di Indonesia menggelutinya selama beberapa tahun terakhir. Tanaman jahe merupakan salah satu bumbu dapur, selain sebagai bahan pembuatan bumbu masakan, secara empiris jahe juga digunakan sebagai komponen berbagai tanaman obat: seperti ramuan untuk meningkatkan daya tahan tubuh, mengobati peradangan, batuk, luka, dan alergi akibat penyakit. terhadap gigitan serangga. Penelitian ini disusun menggunakan rancangan acak lengkap dengan 1 faktor yaitu konsentrasi ekstrak jahe. Penelitian dilakukan dengan 1 kontrol dan 3 perlakuan. Parameter pengujian yang dilakukan meliputi uji TPC dan uji kadar protein. Berdasarkan hasil, nilai TPC terendah terdapat pada nugget udang dengan penambahan ekstrak jahe 15% yaitu 133,33 x 102. Dan kandungan protein tertinggi terdapat pada nugget udang dengan penambahan ekstrak jahe 15% yaitu 19,57%.
Gerakan Sehat Bersama: Pemeriksaan Gula Darah Untuk Menunjang 9 Pilar Transformasi Kesehatan
Authors: Panduwati Digna Renny , Situmeang Suryani M. F , Lubis Nita Andriani , Ningsih Sri Widia , Humaira Wardati
Published: August 2024

Diabetes is a chronic disease characterized by high body sugar levels, but the body does not utilize them. Based on data from 2023, 14% of Indonesia's population has diabetes. The spread of diabetes also penetrates rural areas, posing a threat to rural areas and threatening the health of rural communities, and Saentis Village is no exception. The program "Healthy Movement Together: Blood Sugar Checking to Support the 9 Pillars of Health Transformation" is a community service initiative that aims to increase public health awareness. Some people in Saentis Village have a history of diabetes. This activity aims to provide education and conduct initial screening for diabetes. The service method is carried out by collaborating between medical personnel, local government, and the community. The activity began by providing education about the dangers and early symptoms of diabetes and continued by conducting an initial diabetes screening by checking blood sugar. Ninety-six people attended this activity. Based on the results of the examination, it was found that as many as 17 people had high blood sugar levels, and as many as 14 people experienced hyperglycemia. Based on the results of the screening that has been carried out, it is known that there are people who are not aware of the importance of maintaining a lifestyle, so there are still 14.6% of people who have pre-diabetes conditions, so it is necessary to check HbA1C.
Sosialisasi Tantangan Implementasi Logistik Halal di Indonesia
Authors: Pratiwi Sekar Widyastuti , Saribanon Euis , Nofrisel  , Juhri Apsada , Poncotoyo Wahyu
Published: August 2024

Potensi global yang signifikan dari pasar halal, sangat dianjurkan bahwa penyedia layanan logistik secara aktif berkontribusi pada pengembangan industri rantai pasokan halal. Namun, hanya beberapa perusahaan logistik yang telah mendapatkan sertifikasi halal. Tim ini melakukan inisiatif outreach di beberapa organisasi penyedia layanan logistik untuk mendidik mereka tentang kebutuhan untuk mempertahankan integritas halal di seluruh rantai pasokan. Salah satu hasil dari partisipasi dalam Program Layanan Komunitas ini adalah kesempatan untuk secara langsung berinteraksi dan memiliki percakapan dengan pendiri dan dewan direktur perusahaan logistik. Perusahaan-perusahaan didorong untuk mempercepat adopsi sertifikasi halal karena program pemerintah yang mengharuskan sertifikasi halal untuk produk makanan dan minuman pada bulan Oktober 2024. Ketika datang untuk menerapkan rantai pasokan halal, perusahaan harus memiliki persyaratan tertentu, termasuk kemampuan daya telusur dalam produk mereka. Untuk mendukung kemampuan ini secara memadai, fasilitas dan infrastruktur yang diperlukan harus didirikan.
PERKEMBANGAN KEMAMPUAN MOTORIK KASAR MELALUI KEGIATAN TARI KREASI PADA ANAK USIA 5 - 6 TAHUN
Authors: Djuanda Isep , Agustiani Nur Dwi
Published: August 2024

Penelitian dilaksanakan dengan tujuan untuk mengetahui perkembangan kemampuan motorik kasar anak usia 5-6 tahun di RA Al-Amanah melalui kegiatan tari kreasi dan untuk mengetahui perkembangan kemampuan motorik kasar anak usia 5-6 tahun di RA Al-Amanah dapat meningkat melalui kegiatan tari kreasi. Jenis penelitian yang digunakan adalah penelitian tindakan kelas. Subjek penelitian adalah peserta didik RA Al Amanah usia 5-6 tahun, dengan objek penelitian perkembangan kemampuan motorik kasar anak melalui kegiatan tari kreasi. Penelitian dilaksanakan dengan mekanisme pra siklus, siklus 1 dan siklus 2.  Proses penelitian pada setiap siklus terdiri dari perencanaan, pelaksanaan dan pengamatan serta refleksi. Pengumpulan data diperoleh dengan cara observasi, wawancara dan studi dokumentasi. Hasil penelitian menunjukan: 1) Kegiatan tari kreasi berhasil mengembangkan kemampuan motorik kasar anak usia 5-6 tahun di RA Al Amanah Depok, yang ditunjukan adanya peningkatan hasil rata-rata pada seluruh indikator, baik keseimbangan, kelincahan dan kelenturan, dengan hasil 53,43% pada pra siklus menjadi 68,86% pada siklus 1 dan pada siklus 2 sebesar 88%; 2) Kegiatan tari kreasi dapat mengembangkan kemampuan motorik kasar anak usia 5-6 tahun di RA Al Amanah Depok. Hal ini ditunjukan dengan hasil yang telah mencapai kriteria keberhasilan yang telah ditetapkan.
DESAIN KURIKULUM PENDIDIKAN AGAMA ISLAM BAGI ANAK DALAM KELUARGA PERSPEKTIF ISLAM
Authors: Faizah Nadjematul
Published: August 2024

Religious education is education that instills religious values ​​with the teachings of their respective religious beliefs. In the view of Islam, humans are born in a state of carrying nature that needs to be developed. Islam views education in the family as the oldest and most important informal religious education institution. In one part of the Three Education Centers, the role of parents or families in education is very significant among schools and communities. Religious education in the family with an Islamic perspective is education that is applied in the family based on Islamic religious guidance to shape individuals into human beings who believe and fear Allah SWT and have noble character and practice religious values ​​in everyday life. The implementation of religious education for children in the family at an early age has a very large influence, the role carried out in formal educational institutions is not able to take over family institutions in inculcating religious moral values. Therefore, it is very important for parents to understand religious education for their children which is carried out within the family scope.
Statistical indicators for the evaluation of violence against women
Authors: Abesadze Nino , Abesadze Otar , Kinkladze Rusudan , Paresashvili Nino , Ebanoidze Manana
Published: August 2024

Violence against women is a widespread phenomenon in Georgia. Therefore, determining statistical indicators for assessing violence is very important and necessary. The main goal of the research is to determine statistical indicators assessing violence against women in Georgia. The research methodology includes the use of statistical observation, grouping, and analysis methods. Conclusions: Violence against women remains an active problem in society. Psychological violence is common among different forms of violence. A large number of victims cite emotional excitement and societal influence as the provoking circumstances of violence. Based on legal regulations, the level of awareness about violence has increased. 24-hour hotlines are working. Statistics of victims of violence in shelters are also increasing. The population aged 25–44 prevails in perpetrators and victims.
Magnetic Eruption from a Three-ribbon Flare
Authors: Jing Ju , Lee Jeongwoo , Mancuso Mia , Li Qin , Liu Nian , Inoue Satoshi , Xu Yan , Wang Haimin
Published: August 2024

We present observations and analysis of an eruptive M1.5 flare (SOL2014-08-01T18:13) in NOAA active region (AR) 12127, characterized by three flare ribbons, a confined filament between ribbons, and rotating sunspot motions as observed by the Solar Dynamics Observatory. The potential field extrapolation model shows a magnetic topology involving two intersecting quasi-separatrix layers (QSLs) forming a hyperbolic flux tube (HFT), which constitutes the fishbone structure for the three-ribbon flare. Two of the three ribbons show separation from each other, and the third ribbon is rather stationary at the QSL footpoints. The nonlinear force-free field extrapolation model implies the presence of a magnetic flux rope (MFR) structure between the two separating ribbons, which was unclear in the observation. This suggests that the standard reconnection scenario for eruptive flares applies to the two ribbons, and the QSL reconnection for the third ribbon. We find rotational flows around the sunspot, which may have caused the eruption by weakening the downward magnetic tension of the MFR. The confined filament is located in the region of relatively strong strapping field. The HFT topology and the accumulation of reconnected magnetic flux in the HFT may play a role in holding it from eruption. This eruption scenario differs from the one typically known for circular ribbon flares, which is mainly driven by a successful inside-out eruption of filaments. Our results demonstrate the diversity of solar magnetic eruption paths that arises from the complexity of the magnetic configuration.
Global Effect of New Active Regions on Coronal Holes and Their Wind Streams
Authors: Wang Y.-M. , Knizhnik K. J. , Ugarte-Urra I. , Weberg M. J.
Published: August 2024

Solar wind prediction algorithms and simulations of coronal events often employ photospheric field maps that are assembled over a 27 day solar rotation. This has stimulated efforts to update and better synchronize the maps by applying flux transport and including observations of the back side of the Sun. Here, using potential-field source-surface extrapolations, we address the question of how the emergence of a large active region (AR) on the Sun’s farside affects the coronal field and configuration of coronal holes on the Earth-facing side. We find that, if the new AR is located ∼135°–180° in longitude from Earth, the effect on the coronal field and solar wind near the central meridian will be almost negligible. This is because, when sunspot activity is relatively low, the outermost AR loops will become connected to the nearby polar fields; when sunspot activity is high, the newly emerged flux will connect to neighboring ARs. However, large ARs that emerge near the solar limb may sometimes have a significant effect on the field near the central meridian. In particular, a coronal hole having opposite polarity to that of the nearest sector of the AR may partially close down, resulting in slower wind; conversely, if the coronal hole has the same polarity as the facing AR sector, it will tend to increase in areal size, resulting in faster wind. In most cases, the main effect of a new AR will be to redistribute open flux between itself and neighboring coronal holes (including the polar holes) through interchange reconnection.
The Centrifugal Acceleration and the Y-point of the Pulsar Magnetosphere
Authors: Shibata Shinpei , Kisaka Shota
Published: August 2024

We investigate the centrifugal acceleration in an axisymmetric pulsar magnetosphere under the ideal MHD approximation. We solve the field-aligned equations of motion for flows inside the current sheet with finite thickness. We find that flows coming into the vicinity of a Y-point become super fast. The centrifugal acceleration takes place efficiently, and most of the Poynting energy is converted into kinetic energy. However, the super-fast flow does not provide enough centrifugal drift current to open the magnetic field. Opening of the magnetic field is possible by the plasmas that are accelerated in the azimuthal direction with a large Lorentz factor in the closed-field region. We find that this acceleration takes place if the field strength increases toward the Y-point from inside. The accelerated plasma is transferred from the closed-field region to the open-field region by magnetic reconnection with plasmoid emission. We also estimate the Lorentz factor to be reached in the centrifugal wind.
Sizes and Stellar Masses of the Little Red Dots Imply Immense Stellar Densities
Authors: Guia Carl Audric , Pacucci Fabio , Kocevski Dale D.
Published: August 2024

The “Little Red Dots” (LRDs) are red and compact galaxies detected in JWST deep fields, mainly in the redshift range z = 4–8. Given their compactness and the inferred stellar masses in the hypothesis that LRDs are starburst galaxies, the implied stellar densities are immense. This Research Note uses an extensive catalog of LRDs from the PRIMER and the COSMOS-Web surveys to investigate these densities. We find a median (upper limit) on the effective radius of 80 pc, which leads to median (lower limit) values of the core density of ∼104 M
⊙ pc−3, and individual densities as high as ∼108 M
⊙ pc−3, which is ∼10 times higher than the density necessary for runaway collisions to take place. For ∼35% of the LRDs investigated, the lower limits are higher than the highest stellar densities observed in any system in any redshift range.
Integrated Collection and Publication of Sample Metadata in JAMSTEC: A System Maximizing Sample Values and Assisting in Sample Management
Authors: Iseto Tohru , Ichiyanagi Marika , Hisazumi Masatomo , Tamura Yoshihiko , Takatsu Yoshihiro , Fukuda Kazuyo
Published: August 2024

The Japan Agency for Marine-Earth Science and Technology (JAMSTEC) has collected a lot of samples (e.g., organisms, rocks, sediment cores) from the deep sea, seafloors and other extreme environments. These samples are difficult to collect again by JAMSTEC and other institutions because of their remoteness, so we thought it important to make them available to as many people as possible for a variety of purposes. JAMSTEC established the “Basic Policies on the Handling of Data and Samples” in 2007, and its data management office (DMO) has operated a centralized management and publication of metadata for almost all samples collected during research cruises (Tsuboi et al. 2014). While researchers who collected samples retain priority rights of use, publishing the metadata opens the door for third parties to apply for sample usage. To properly manage and publish those metadata of the samples, DMO has constructed and operates databases, including the JAMSTEC Sample Database for sample management and the DARWIN database for the publication of cruise data and sample metadata. Some biological sample metadata is also shared with JAMSTEC’s biogeographic database (BISMaL), and global databases such as Ocean Biodiversity Information System (OBIS) and the Global Biodiversity Information Facility (GBIF) (Iseto et al. 2019; Fig. 1).

Traditionally, researchers have deposited selected samples in museums or resource centers and made that information public through literature or via online databases. However, the samples accessible through these routes represent only a small portion of the total samples collected by researchers. What JAMSTEC does is different from this, in that JAMSTEC publishes metadata of most collected samples (Fig. 2).

JAMSTEC manages sample metadata not only to respond to sample requests from third parties, but also for its own benefits. The sample management assists JAMSTEC’s research in collaborative opportunities, sample inheritances, and research compliance. Most notably, among recent global regulations, proper sample management has become essential to complying with diverse treaties and laws such as Security Export Control and Nagoya Protocol on Access and Benefit Sharing.

Now that we have established this system, we are moving to the next stage, where each JAMSTEC researcher can register and update their own sample metadata, and control public settings of the sample metadata themselves on the database without relying heavily on DMO.

We hope that the JAMSTEC initiative will become a revitalizing model for sample-based research.
Developing the Digital Museum Using Various Images and Geographic Information Systems
Authors: Ohtsuki Tatsuo , Ohtsuka Taisuke , Kameda Kayoko
Published: August 2024

Digital archiving of museum collections is a global trend, but web platforms for archival data are not yet well developed. Many of the portal sites developed in Japan lack images and geographical information, making them difficult to use for non-specialists. Therefore, local museums, such as the Lake Biwa Museum, require web platforms that are easy to use for local users.

Recently, rapid developments in digital technology have made it easier and cheaper to customize web platforms. Furthermore, the Japanese Government now provides financial support for the digitization of collections. This has made it possible for museum staff, who are not specialized in digital technology, to develop web platforms. Two projects have therefore been set up.

Digital Museums using Various Images (DMVI): 3D and high-resolution images of various collections are made available on websites as databases for the museums' collections, which can also be used for exhibitions.

Digital Museums using Geographical Information Systems (DMGIS): in addition to distribution maps of specimens and survey data, maps from the past to the present can be superimposed to understand the changes in the habitats of living organisms.

The 3D models developed by DMVI can be rotated, enlarged, and reduced, providing a new experience as if you were holding a valuable material that you would not normally be able to touch. The DMVI project is also working towards the development of illustrated databases limited to the organisms found in Shiga Prefecture. Meanwhile, the easy-to-use illustrated search system, DMGIS, is promoting information on bird distributions and cross-disciplinary mapping. For example, specimens and observation data can be plotted and viewed on current maps, and changes in the distribution of birds can be followed along a time axis. This content is intended for use in environmental education and nature conservation. By building an easy-to-use web platform, the aim is to develop a ‘digital museum.’
Quality Optimizing Teaching Decisions in Flipped Classrooms Through Data-Driven Strategies
Authors: Yang Lihong
Published: August 2024

In the context of digitalized educational research, the rapid advancement of internet technologies and big data has catalyzed the transformation of traditional teaching models. The flipped classroom, recognized for its flexibility and efficiency, has garnered significant attention. However, the challenge of scientifically optimizing teaching decisions in flipped classrooms to maximize educational outcomes remains critical. Previous studies have achieved some progress in optimizing teaching decisions within flipped classrooms, yet they often suffer from a lack of methodological diversity, inadequate consideration of multi-level constraints, and struggle to adapt to dynamic teaching environments. Addressing these deficiencies, this research introduces a hybrid evolutionary algorithm combining differential evolution and greedy backtracking. Defined and classified constraints within flipped classroom teaching decisions, the construction of constraint networks, and the creation of multi-level decision spaces are transformed and solved through this hybrid algorithm, offering a systematic optimization strategy. Case analysis confirms the effectiveness and practicality of the proposed method, aiming to bolster decision-making in flipped classrooms and advance the development of digitalized teaching.
Machine Learning-Based Personalized Learning Path Decision-Making Method on Intelligent Education Platforms
Authors: Zhang Yan
Published: August 2024

With the rapid development of information technology, the application of intelligent education platforms has become increasingly widespread. Traditional teaching methods struggle to meet the demands for personalized learning. Personalized learning path decision-making methods, which analyze learners’ behavioral data and mastery of knowledge points, tailor learning paths for each individual. Current research indicates that these methods can significantly improve learning efficiency and effectiveness. However, existing personalized learning path decision-making methods still have shortcomings in predicting the difficulty of knowledge points and dynamically adjusting path recommendations. This paper proposes a machine learning-based personalized learning path decision-making method, focusing on two main aspects: predicting the difficulty of knowledge points for personalized learning and integrating knowledge point localization for personalized learning path decisions. Through accurate prediction of knowledge point difficulty and dynamically optimized learning path recommendations, this method provides more refined and personalized learning support on intelligent education platforms, aiming to enhance learners’ learning experience and outcomes.
Advances in AI and Machine Learning for Healthcare Informatics
Authors: Maithili K. , Ponmalar A. , Yamini B. , Karthikeyan M. , Anish T. P. , Maheswari B. , Siva Subramanian R.
Published: August 2024

This study focuses on how medical informatics, bioinformatics and health records are getting rejuvenated by AI and ML, which is leading to a new paradigm in healthcare. It drives home the significance of data-driven methods to address the health problems and enhancing the patient outcomes in healthcare. The study begins with a highlight of AI and ML technologies being used in healthcare. Then it delves deep into the machine learning approaches, appropriate optimisation techniques, methods of disease prediction, and signal processing advances. Besides that, this paper obtains new technological developments such as the improvement of healthcare information systems and the application of artificial intelligence and machine learning to medical signal and image processing. By means of this purpose, one aims to teach scholars, specialists, and decision-makers concerning the transformative capacity of AI and ML in healthcare. Ethical surrounding matters and the future pathways of research and innovation are also discussed.
Usage of Machine Learning and Deep Learning for Lung Cancer Detection
Authors: Dawar Ishaan , Bhardwaj Sumedha
Published: August 2024

Cancer is a dangerous disease and has been a cause of substantial morbidity and fatality in the world. This chapter provides an exploration of ML and DL techniques used for lung cancer detection between 2019 and 2023. It provides a complete overview of the current methodology, the language used for model implementation, and the results of these models along with the advantages and disadvantages of the studies. It also provides information on the many datasets used to diagnose lung cancer and highlights the unresolved research gaps in the field which can inspire additional research. Furthermore, the chapter outlines futuristic directions, envisioning the integration of emerging technologies such as federated learning, explainable AI, and multimodal data fusion to address existing limitations and enhance the efficacy of lung cancer detection systems. By synthesizing current research findings and identifying key areas for advancement, this chapter serves as a valuable resource for researchers, clinicians, and stakeholders invested in leveraging ML and DL for combating lung cancer.
People's Perception Towards Eco-Brick as Plastic Waste Management in Madhyapur Municipality, Nepal
Authors: Prajapati Anjila , Devkota Niranjan , Chalise Mahananda , Dhakal Krishna , Basyal Devid Kumar , Poudel Udaya Raj
Published: August 2024

The aim of this study is to investigate the people's perception towards eco brick as plastic waste management. Following convenience sampling technique, a total of 235 local people were interviewed with structured questionnaire, where data collection is done by using Kobo Toolbox. Structural equation modelling (SEM) is used to see peoples' perceptions towards eco bricks as plastic waste management in Madhyapur municipality of Bhaktapur district using SPSS and SPSS AMOS software. SEM result shows that attitude, subjective norms, perceived behavior condition have significant causal relationship to 3R behavior intention whereas, perceived behavior condition, habit and facilitating condition have significant causal relationship to 3R behavior of local peoples' in Madhyapur municipality which support 3R Behavior Theory.
3Rs Management
Authors: Jaiwant Sunanda Vincent , T Dheepa , Haridasan Ajitha
Published: August 2024

The increasing industrialisation and fast growth do not only pose problems related to the allocation of resources and powers, but also severely challenge the natural environment. Environmental degradation such as contaminated water, sinking groundwater levels, unhealthy soils, and polluted air has become a harsh reality in many parts of the world. One result of a rapid urbanisation, a slowly reducing gap between urban and rural, changing consumption patterns, and a growing population is the problem of waste. However, although it is the duty of the urban local bodies (ULBs) to address the issue of waste, tight budgets, inefficient organisation, has rendered a situation that has little hope for alleviation in the near future. This chapter aims to understand the concept of waste management through 3Rs. The focus is to identify the contemporary 3Rs practices and also develop advanced strategies for the same.
Fundamentals of Performance Management
Authors: Rajapakshe Wasantha
Published: August 2024

This chapter provides a comprehensive overview of performance management (PM) within the realm of human resource management (HRM), addressing key topics crucial for understanding its intricacies. It elucidates PM's multifaceted nature and its pivotal role in optimizing organizational performance. The chapter explores the transition from traditional performance appraisal methods to contemporary PM approaches, emphasizing the shift from a retrospective to a forward-looking perspective. It delineates the cyclic process of PM, encompassing goal setting, performance monitoring, feedback, and development planning. Furthermore, the chapter underscores the necessity of PM in fostering employee engagement. Despite its undeniable benefits, PM encounters challenges such as evaluation bias, resistance to change, and technological complexities. Through this chapter, readers gain insights into the dynamic landscape of PM and its practical implications, equipping them with knowledge to navigate its complexities effectively within the HRM domain.
The Concepts of Performance Evaluation
Authors: Yapa Chandima Gayan
Published: August 2024

This chapter examines performance evaluation, a vital aspect of organizational management. It begins by defining its essence and role in assessing and enhancing employee performance. Key stages in effective reviews are outlined, including goal setting, observation, feedback, and follow-up. Common challenges such as bias, ambiguous metrics, and employee resistance are addressed. The chapter underscores how evaluations support employee development and motivation, aiding organizational strategy and goal achievement. Lastly, it highlights HR's reliance on evaluations for talent management, succession planning, and fostering continuous improvement.
Beyond Metrics
Authors: Pathirana Geethma
Published: August 2024

In today's dynamic business landscape, performance evaluation systems are essential for driving organizational success and fostering employee development. This chapter explores the applications of evaluation within organizational performance management, highlighting the significance of clear policies, defined performance criteria, and innovative feedback mechanisms. Case studies from industry leaders like Google, Adobe, and Salesforce illustrate how modern practices, such as continuous feedback and real-time evaluations, promote continuous improvement and align individual contributions with strategic objectives. The chapter emphasizes a shift from traditional annual reviews to more agile approaches that enhance employee engagement and satisfaction. Best practices for developing effective performance evaluation policies, including clarity, transparency, and employee involvement, are Ultimately, robust performance evaluation systems empower organizations to achieve long-term goals through informed decision-making and a culture of accountability.
Exploring Protective Factors for Stress Among University Students
Authors: Hako Anna Niitembu
Published: August 2024

The chapter explores protective factors that can reduce stress in university students, highlighting cultural differences in stress responses. Using a literature review and document analysis method, it emphasizes holistic stress management, highlighting the importance of resilience, self-care, social support, coping abilities, and financial stability. The study suggests creating a welcoming campus environment, promoting social interactions, and providing resources to safeguard students' well-being.
Coping Mechanisms for Stress Among Students at Universities
Authors: Vetrivel S. C. , Saravanan T. P. , Maheswari R. , Arun V. P.
Published: August 2024

Stress is a prevalent issue among university students, stemming from academic pressures, social dynamics, financial concerns, and transitional challenges. This study explores the coping mechanisms employed by university students to manage stress and maintain mental well-being. Through a mixed-methods approach, including surveys and focus group discussions, The authors identify common stressors and categorize coping strategies. The chapter reveals that students use a combination of problem-focused coping, emotion-focused coping, and avoidance strategies. Problem-focused coping, such as time management and seeking academic support, is associated with reduced stress levels. Emotion-focused coping, including mindfulness and social support, also contributes positively to student well-being. However, reliance on avoidance strategies, like excessive gaming or substance use, often correlates with increased stress. The study underscores the need for university support systems that encourage adaptive coping strategies and reduce reliance on maladaptive ones.
Study on Vulnerability to Maladjustment and Addictions in the Early Years of Student Life
Authors: Safta Cristina-Georgiana , Suditu Silvian
Published: August 2024

In a society characterized by an accentuated dynamic, by uncertainty and insecurity, with complex challenges and temptations at every step, the problem of students' well-being and the evaluation of their degree of vulnerability, respectively of the dimensions of that, represents a problem of major interest, with multiple implications both on an individual level and on a social level. This study therefore aims to evaluate the well-being and vulnerability of students in the first years of study, with the help of two standardized instruments, namely the vulnerability to maladjustment (VM) questionnaire and the vulnerability and resilience to addictions (VrA) questionnaire. The conclusions drawn from the analysis and interpretation of the results led to the formulation of a set of recommendations regarding the strategies that universities can develop with the aim of securing the emotional security of young people and cultivating well-being.
Leveraging Unsupervised Machine Learning to Optimize Customer Segmentation and Product Recommendations for Increased Retail Profits
Authors: Upreti Gehna , Natarajan Arul Kumar
Published: August 2024

The retail sector's success hinges on understanding and responding adeptly to diverse consumer behaviours and preferences. In this context, the burgeoning volume of transactional data has underscored the need for advanced analytical methodologies to extract actionable insights. This research delves into the realm of unsupervised machine learning techniques within retail analytics, specifically focusing on customer segmentation and the subsequent recommendation strategy based on clustered preferences. The purpose of this study is to determine which unsupervised machine learning clustering algorithms perform best for segmenting retail customer data to improve marketing strategies. Through a comprehensive comparative analysis, this study explores the performance of multiple algorithms, aiming to identify the most suitable technique for retail customer segmentation. Through this segmentation, the study aims not only to discern and profile varied customer groups but also to derive actionable recommendations tailored to each cluster's preferences and purchasing patterns.
Leveraging Green Accounting for Sustainable Development
Authors: Chukka Hari Govinda Rao , Madem Srinu , Konathala Sravan Kumar
Published: August 2024

This study explores the crucial importance of green accounting in manufacturing industry, emphasizing its role in addressing environmental issues while assuring financial performance and sustainable development. Organizations strive to address environmental concerns effectively by incorporating green accounting principles into costing, capital budgeting, and process/product design. Hence, this study collected data from 87 companies listed on the Bombay Stock Exchange from 2021 to 2023 through purposeful sampling. Inductive analysis was employed to understand the relationship amongst green accounting, financial performance, and sustainable development. The analysis shows that green accounting positively impacts both sustainable development and financial performance, highlighting its importance for long-term sustainability. The study confirmed that the Green accounting and financial performance have become key indicators of a company's long-term viability.
How to Make a Mosque Sustainable
Authors: Al Khalaf Iman Salah , Emekci Seyda , Şimşek Cemile Feyzan
Published: August 2024

The chapter discusses the contemporary global focus on environmental preservation and sustainable construction, particularly regarding buildings' impact on the environment and human well-being. It explores the case study of Hajj Musa Mosque, aiming to address issues such as energy and water consumption, lack of fire safety measures, and sustainability concerns. Utilizing a case study approach, qualitative research methods were employed. Through analysis and solution-oriented approaches, sketches of the mosque were developed to address identified problems and integrate sustainable practices. This study seeks to align Hajj Musa Mosque with contemporary sustainability standards while respecting its cultural and historical heritage.
US Strategies and Its Global Governance for Achieving Sustainable Development Goals in the Global South
Authors: Pandey Deep Narayan , Bharti Mukesh Shankar
Published: August 2024

The purpose of this study is to describe the US policy on Sustainable Development Goals (SDGs) in the Global South. The US has been a key global actor and donor in the developing world from Asia, Africa, and Latin America since the end of the Cold War. The phases of globalization have played a key role in the Global South in the context of economic and infrastructure development. The United Nations had settled the 17-point agenda of SDGs in different areas. By 2030, the UN decided to achieve the SDGs goal through global governance and other development policies. The US has been playing an important role in implementing the UN's SDGs agenda in the Global South. In the era of globalization, China has been created differences in global politics through its Belt and Road Initiative (BRI). Since 2013, China has emerged as a global actor in world politics and at many junctures, its policy has created challenges to the Western interest in the Global South. China has been creating a big hurdle to the US-led coalition from Asia Pacific to the Indo-Pacific.
Smart Hydroponics
Authors: Pal Soumyajit , De Jaychandra , Datta Debamoy
Published: August 2024

Agriculture plays a significant role in the economic growth of a nation. Modern farming techniques involve growing plants in a soilless ecosystem with the help of nutrient solution. This alternative paradigm of sustainable agriculture falls under the field of hydroponics. In an effort to control the hydroponics plant growth, Internet of Things (IoT) and cloud computing are proving to be useful. IoT allows machine-to-machine (M2M) interaction, thereby controlling the hydroponics system autonomously and intelligently. The current work proposes an autonomous IoT-based hydroponics system developed using the Arduino Nano microcontroller, sensors, actuators and services in the cloud. The system is capable of providing the appropriate hydroponics environment based on multiple physical parameters. A prototype for chili plant growth as a case study is developed.
Artificial Intelligence in Environmental and Climate Changes
Authors: Raghav Anjali , Singh Bhupinder , Jermsittiparsert Kittisak , Raghav Richa , Yadav Urmila
Published: August 2024

Artificial Intelligence plays a pivotal in resolving climate change and the environmental crisis with the help of AI technologies. However, by scrubbing massive amounts of information from satellites and sensors, it can refine climate prediction allowing for better re-prioritization downstream when initiating mitigation plans. In addition, using AI Artificial Intelligence, it also optimizes trees and autonomous networks for energy systems, and emissions reduction in carbon. But AI training is also energy intensive, responsible for a sizable chunk of greenhouse gas emissions. As AI evolves, it is essential to guide its development and deployment by principles of sustainability and environmental responsibility. This chapter examines the various aspects of AI in resolving environmental and climate change issues to achieve sustainable goals. It also examines significant challenges and limitations intertwined with the incorporation of AI in the degradation of environmental crises and climate change.
Emerging Trends in Sustainable Nature-Based Tourism
Authors: Kumar Paramjeet
Published: August 2024

Nature-based tourism has seen a surge in popularity in recent decades, driven by a growing demand for outdoor recreation and a desire to experience natural environments. This chapter examines the emerging trends in sustainable nature-based tourism, with a particular focus on the Northeast region of India. Drawing on a global perspective, the analysis highlights the potential for nature-based tourism to contribute to both conservation and sustainable development, provided that appropriate planning, management, and local participation measures are implemented. The chapter then delves into the specific case of Northeast India, a region that has yet to fully capitalize on its ecotourism potential.