bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan Metode Design Thinking Pada Perancangan UI/UX Website Reservasi Gym untuk Efektivitas Pengalaman Pengguna
Authors: Lukito Aji , Darmanto Eko , Irawan Yudie
Published: January 2025

Dalam beberapa tahun terakhir, kesadaran masyarakat akan pentingnya gaya hidup sehat dan kebugaran fisik meningkat pesat, terutama di kalangan generasi muda. Meskipun hampir 49% masyarakat Indonesia aktif berpartisipasi dalam kegiatan kebugaran di pusat Gym & Fitness, mereka masih menghadapi berbagai kendala dalam mengakses informasi mengenai lokasi gym yang sesuai dengan kebutuhan dan preferensi mereka. Melihat permasalahan ini, sangat diperlukan sebuah solusi yang dapat secara efektif memfasilitasi pengguna dalam mencari, memesan, dan mengakses pusat kebugaran dengan cara yang jauh lebih mudah dan praktis, sehingga mereka dapat menemukan lokasi yang sesuai dengan kebutuhan dan preferensi mereka tanpa harus mengalami kesulitan atau hambatan yang sering kali mengganggu rutinitas olahraga mereka.Penelitian ini bertujuan untuk mengatasi masalah tersebut melalui pengembangan platform digital berbasis website untuk reservasi gym, dengan menerapkan metode Design Thinking. Metode ini dipilih karena fokusnya yang berpusat pada pengguna, memungkinkan pengembangan solusi yang memenuhi harapan dan kebutuhan mereka. Metode ini dirancang untuk memahami kebutuhan pengguna dan memberikan akses informasi yang lebih mudah mengenai fasilitas, tarif, dan opsi reservasi. Hasil penelitian menunjukkan bahwa platform yang dikembangkan efektif dalam memenuhi kebutuhan pengguna, dengan tingkat kepuasan rata-rata 4.2 dari 5, yang menunjukkan pengalaman pengguna yang baik.
Sistem Pendukung Keputusan Kelompok Pemilihan Pegawai Terbaik dengan Metode AHP, Oreste dan Borda
Authors: Widodo Wahyu
Published: January 2025

Salah satu cara untuk mendorong kinerja pegawai adalah dengan memberikan penghargaan kepada pegawai terbaik, yang dapat memotivasi mereka untuk bekerja lebih baik. Proses pemilihan pegawai terbaik yang di lakukan oleh Dinas Penanaman Modal dan Pelayanan Terpadu (DPMPT) Kabupaten Bantul cenderung masih dilakukan secara subjektivitas karena data tidak terukur dan terstruktur. Selain itu, proses pengolahan data membutuhkan waktu yang cukup lama. Sistem Pendukung Keputusan Kelompok (SPKK) dapat digunakan sebagai alat bantu dalam memilih pegawai terbaik. Berdasarkan keputusan yang telah dikeluarkan oleh Kepala DPMPT Kabupaten Bantul, metode yang tepat untuk diterapkan adalah metode Hybrid, yaitu Analytical Hierarchy Process (AHP), Oreste, dan Borda. Metode AHP dapat dipakai untuk menghitung bobot prioritas kriteria penilaian, Oreste untuk menentukan perangkingan tiap penilai dan penentuan pegawai terpilih dan Borda untuk menentukan penggabungan nilai dari tim penilai. Setiap Tim Penilai akan memberikan penilaian sesuai kriteria yang telah ditetapkan yaitu : integritas, disiplin, komitmen, kerapian dan keramahan. Berdasarkan perhitungan bobot kriteria menggunakan AHP, faktor integritas menjadi kriteria yang paling diutamakan menurut pengambil keputusan.  Metode Borda dapat memberikan pilihan lebih dari satu alternatif keputusan, sesuai dengan kriteria dan tata cara pemberian penghargaan bagi pegawai pelaksana pelayanan di DPMPT Kabupaten Bantul. Setelah itu, metode Oreste menyusun peringkat akhir dari alternatif-alternatif tersebut dengan mempertimbangkan tingkat preferensi dari setiap kriteria, sehinggan menghasilkan keputusan yang lebih tepat dan akurat dalam pemilihan karyawan terbaik.
Penerapan Support Vector Machine dan Random Forest Classifier Untuk Klasifikasi Tingkat Obesitas
Authors: Utiarahman Siti Andini , Pratama Andi Mulawati Mas
Published: January 2025

Obesity has come become an increasingly concerning global health issue, with 2.5 billion adults experiencing overweight and 890 million identified as obese in 2022. This study aims to develop and compare obesity level classification models using Support Vector Machine (SVM) and Random Forest algorithms, as well as analyze factors influencing obesity. The research utilizes a public dataset comprising 1610 records with 15 variabel encompassing demographic characteristics, family factors, dietary patterns, and lifestyle habits. The research methodology include data preprocessing, dataset splitting with a 70:30 ratio for training and testing, and performance evaluating using accuracy, precision, recall and f1-score metrics. Results indicate that Random Forest demonstrates superior performance with 94% accuracy, a 3% improvement aver SVM which achived 91.01% accuracy. Random Forest showed better consistency in classifying all catagories, particularly achieving optimal results for class 4 with 100% precision and 99% recall. Factor analysisi reveals thet lifestyle and dietary patterns have significant influences on obesity levels. The developed model can be implemented as a supportive tool in healtcare systems to accurately predict and classify obesity levels, enabling more tergeted symtems to accurately predict and classify obesity levels, enabling more tergeted interventions based on identified risk factors.
Implementation Of Machine Learning To Identify Types Of Waste Using CNN Algorithm
Authors: Haqqi Matsnan , Rochmah Lailatur , Safitri Arisanti Dwi , Pratama Rizki Adhi , Tarwoto
Published: January 2025

This research aims to develop a waste-type classification model using the Convolutional Neural Network (CNN) method to increase efficiency and accuracy in waste management. The research method involves collecting image waste data from open sources consisting of 2848 files, which are divided into six subclasses: glass, cardboard, paper, metal, organic, and plastic. This data is then processed through preprocessing stages such as cropping and applying a Gaussian filter to remove noise and improve image quality. The training model was performed for 10 epochs with learning rate parameters 0.0001 and epsilon 0.00000001. The model training results achieved the highest accuracy of 95.64% and the smallest loss value of 0.3806 at the 57th epoch. Testing with test data showed strong performance on all evaluation metrics, with an overall accuracy of 95% and an average precision, recall, and F1 score of 95%, indicating that this model can be used for garbage classification.
The originality of this research lies in the use of CNN in classifying types of waste based on diverse image data and through an augmentation process to enrich the dataset without collecting new data. This research confirms that increasing the number of epochs does not always produce an optimal model. The loss value parameter is proven to be more effective in determining the most optimal model compared to just relying on training accuracy or the highest number of epochs. These results contribute significantly to technology-based waste management methods, which can be activated in applications such as EcoSortBin to support environmental education and awareness among the public. This research also opens up opportunities for further development in applying deep learning to various other environmental applications.
Perencanaan Produksi Guna Mengatasi Overstock Produk Jadi pada CV PCP
Authors: Firdaus Muswati Awanda , Mundari Siti
Published: January 2025

CV PCP is a manufacturing company that manufactures road construction products. This company produces various types of road construction products, namely rectangular paving blocks, hexagonal paving blocks, 3D paving blocks, curbs, U-Ditch, and kerbstones. At CV PCP, the production planning and inventory control processes are less than optimal, resulting in overstock in the finished goods warehouse. The overstock problem causes storage to exceed warehouse capacity, products to be damaged due to excessive accumulation, and transportation access to be disrupted. This research addresses the overstock of finished goods in the warehouse caused by these factors. The Run Out Time (ROT) method determines the optimal production schedule by considering the production sequence based on the inventory depletion time. From the production planning using the Run Out Time (ROT) method, the average production result over 6 months before ROT was 156,600 pcs, and after the implementation of ROT, the result was 107,136 pcs. With the decrease in production output, the quantity of product stock also experienced a decline. The average product stock before the implementation of ROT was 386,681 pcs. After the implementation of ROT, it was 299,629 pcs, so the product stock did not exceed the maximum warehouse capacity of 345,000 pcs. Because overstock in the warehouse is minimized, the risk of product damage can also be minimized, which affects storage costs that decreased from an average of Rp. 81,216,828 before the implementation of ROT to Rp. 75,613,317 after the implementation of ROT. As a result, the company can also minimize the storage costs of finished products.
DETERMINISME IKLIM
Authors: Susfita Oges , Syahibunnahar  , Kustiawan  , Calvin Antoni  , Putri Febriyanti
Published: January 2025

This article discusses the theory of climate determinism and how it can be used to understand the development of society. This research focuses on analyzing the role of climate in shaping cultural, economic, and social characteristics in different regions of the world. Through case studies from different countries, this research shows how climate factors such as temperature, rainfall, and humidity have shaped settlement patterns, livelihoods, and social structures of communities. Findings from this study could contribute to a better understanding of the relationship between humans and their environment, as well as their implications for development and policy.
PERAN MASYARAKAT LOKAL DALAM PENGELOLAAN SUMBER DAYA ALAM
Authors: Panji Al Falah  , Fian Sofianto , Aditya Saputra  , Bagas Setia Ramadhan  , Paris Likuwatan
Published: January 2025

The role of local communities in managing natural resources is becoming increasingly important along with increasing awareness of the importance of sustainability and environmental preservation. This study aims to explore the role of local communities in managing natural resources through a community-based agricultural approach in Indonesia. The method used in this research is a case study with a focus on several villages that have successfully implemented sustainable agricultural practices. Data was collected through in-depth interviews, field observations, and document analysis.The research results show that local communities have rich traditional knowledge about natural resource management, which is often more effective and environmentally friendly than modern practices. Active community participation in decision making, planning and implementation of community-based agricultural activities has been proven to increase the efficiency and sustainability of natural resource management. The success of this sustainable agriculture program is also supported by cooperation between local communities, government and non-government organizations.In addition, this research found that involving local communities in natural resource management can improve their economic and social welfare. Community-based agriculture not only produces higher quality and more diverse agricultural products, but also creates jobs and increases people's income. Education and training provided to the community on sustainable agricultural techniques and environmental conservation also contribute to increasing their awareness and ability to protect and utilize natural resources wisely.However, this research also identified several challenges faced in implementing community-based agriculture, including limited access to modern technology, lack of financial support, and bureaucratic obstacles. Therefore, supportive policies and sustainable initiatives are needed to strengthen the role of local communities in natural resource management.In conclusion, the role of local communities in managing natural resources through community-based agriculture has great potential to support sustainable development and community welfare. With the right support, this approach can become an effective model for sustainable natural resource management in various regions
UPAYA PENINGKATAN KEBERSIHAN LINGKUNGAN MELALUI KEGIATAN JUM’AT BERSIH DI KELURAHAN SURADE
Authors: Basuki Purwanti , Wianto Asep , Dede Riansyah
Published: January 2025

The environment has a very important role in human life. Environmental cleanliness reflects how humans maintain the environment. The Clean Friday Program is one of the KKM programs implemented in Surade Village. The background is a lack of public awareness in maintaining environmental cleanliness. Through the concept of collaboration between various parties, Clean Friday activities can be carried out well and receive support from the community. Community awareness in protecting the environment is becoming increasingly evident through community service actions.
ATIVIDADE LÚDICA EDUCACIONAL NA APAE DE ANÁPOLIS: RELATO DE EXPERIÊNCIA
Authors: MENDES ROCHA REUBER , Alves Barbosa Rosenalva , Gomes Rodrigues Thamires , Geovana Camilo Naira , Ludymilla Ludymilla
Published: January 2025

Este documento apresenta um relato de experiência do tipo estudo descritivo e, qualitativo, a respeito de uma extensão universitária desenvolvida por acadêmicos de Odontologia da Faculdade Anhanguera de Anápolis (FAA), na Associação de Pais e Amigos dos Excepcionais (APAE) de Anápolis, Goiás. O projeto teve como objetivo promover a educação em saúde bucal para Pessoas Com Deficiência (PCD), com idade cronológica a partir de 6 anos, enfatizando a importância de uma higiene bucal adequada através de um teatro infantil, demonstração em manequim e  de materiais de apoio visuais e lúdicos, uma vez que esses pacientes frequentemente enfrentam desafios no autocuidado e possuem uma alta incidência de problemas dentários. O relato destaca uma resposta positiva dos participantes e colaboradores da APAE, evidenciando a eficácia dos métodos lúdicos no ensino da saúde bucal. Projetos como esse são valiosos para a formação acadêmica e para a melhoria das práticas de saúde bucal, sugerindo a expansão dessas ações para poder beneficiar cada vez mais PCD’s.
Palavras-chave: Criança com Deficiência Intelectual, Escovação dentária, Política de saúde.
Burnout or Professional Burnout Syndrome in education workers
Authors: Tello Ayala Ivon Alicia
Published: January 2025

Teaching is recognized as one of the most demanding jobs due to the vast amount of information that teachers must assimilate, analyze and transmit on a daily basis. However, beyond this intellectual challenge, one of the greatest challenges lies in managing the interpersonal relationships necessary to impart knowledge effectively. Educators are constantly under pressure because of the vital importance of education in society. Working with people, whether colleagues, students or parents, adds an additional layer of complexity and emotional responsibility. This constant interaction can lead to the development of "Burnout Syndrome", also known as Burnout, which can have devastating emotional and psychological consequences for the individual. Burnout can lead to emotional disconnection from work, and even permanent separation from work. In the most severe cases, it can trigger clinical conditions that significantly affect the teacher's health. The purpose of this article is to show the influence of this syndrome, basing the research on a literature review on this topic under a qualitative methodology.
The Government's Role in Improving MSME Business Performance in Denpasar City
Authors: Arjawa I Gde , Made Pulawan I , Ayu Sita Laksmi Putu
Published: January 2025

This study aims to analyze the role of the government in improving the business performance of MSMEs in Denpasar City. Using a quantitative approach and data collection method through questionnaires, this study involved 100 MSME respondents from a population of 32,626. The results of data analysis using Structural Equation Modeling (SEM) show that the role of the government, measured through regulations, access to financing, and training programs, has a positive and significant influence on the business performance of MSMEs. These findings emphasize the importance of government intervention in creating an environment conducive to the growth of MSMEs. In addition, this study identifies the challenges faced by MSMEs in accessing government support, as well as providing recommendations for policymakers to improve the effectiveness of existing programs. Thus, this research contributes to the development of public policies that are more responsive to the needs of MSME actors in Denpasar City.
Influence of Behavioral Bias on Investment Decision with Risk Perception as a Mediating Variable: A Study on Generation Z at the Indonesia Stock Exchange
Authors: Willie Kurnijanto Aldo , Joni Joni , Videlia Sumbodo Karen , Inggrit Wijaya Liliana , Silvia Sutejo Bertha
Published: January 2025

This study uses structural equation modeling to examine the direct and indirect relationships between behavioral biases and investment decisions with the mediating role of risk perception. This study was conducted among Generation Z individual investors who have been investing on the Indonesia Stock Exchange for several months to years. The behavioral biases examined include overconfidence bias, herding bias, and loss aversion bias, with data from 300 respondents collected through purposive sampling. The results show that risk perception mediates the relationship between overconfidence bias, herding bias, and loss aversion bias with investment decisions. Herding bias and loss aversion bias were found to have a direct relationship with risk perception. In addition, it was also found that herding bias, loss aversion bias, and risk perception have a direct relationship with investment decisions. This research is essential for investors to make more rational investment decisions and improve investment performance by recognizing the risks associated with behavioral biases. The increasing number of retail investors and Generation Z on the Indonesia Stock Exchange demands sound investment decisions. Behavioral biases often trigger irrational decisions and errors in portfolio management, while risk perception can strengthen or weaken the impact of behavioral biases on investment decisions. This study contributes theoretically to investment and behavioral finance, particularly regarding the mediating effect of risk perception.
The Impact of Gold Returns, Bitcoin Returns, and Rising Food Price on Hedging Capability Against Education Costs in Indonesia
Authors: Dzulfikar S. Rambe Tuani , Alli Hafzi
Published: January 2025

This study investigates the effectiveness of gold and Bitcoin as hedging instruments against the rising costs of education and food inflation in Indonesia. Using data from 2009 to 2024, the research employs descriptive and correlational quantitative methods, incorporating volatility analysis and hedging effectiveness models such as the Sharpe ratio and Value-at-Risk. Gold demonstrates stability and consistent performance as a hedge against inflation in education costs, while Bitcoin, despite its volatility, shows potential as a speculative alternative. Food price increases are shown to significantly impact education costs, and this study highlights the need for effective investment strategies to counteract these economic challenges. The findings contribute to a deeper understanding of gold and Bitcoin's roles in mitigating specific forms of inflation, particularly in critical sectors like education and food.
Netnography Study: Suitability of Environmental Accounting Reporting of PT. Halmahera Persada Lygend on the Response of YouTube and Instagram Users
Authors: JURANA Jurana , MULIADY Humaira
Published: January 2025

This study aims to understand the suitability between environmental accounting reporting of PT Halmahera Persada Lygend (HPAL) and the reality in the field based on community responses on the YouTube platform (https://youtube.com/@haritanickel?si=rimm0rUeZOuILjBq) and Instagram (https://www.instagram.com/harita.nickel?igsh=Z2J6MTVjMTBrd2cw). As part of Harita Nickel, HPAL is committed to operational sustainability by prioritizing environmental responsibility, which includes mangrove conservation, coral reef rehabilitation, environmentally friendly smelter development, and community empowerment of Obi Island. Using a netnography approach, this study analyzes user responses and comments on both platforms regarding HPAL's published sustainability reports and the implementation of environmentally friendly principles. The 2024 Merdeka Awards won by Harita Nickel also strengthened the positive perception of the company in terms of social and environmental responsibility. Based on data during the research period from September 14 to November 11, 2024, HPAL received 5,497 likes and 368 positive comments on YouTube, and 1,581 likes and 52 positive comments on Instagram, indicating that HPAL's environmental accounting implementation is in line with public perception and emphasizes the importance of synergy between industrial operations and social and environmental sustainability.
Determination of Restaurant Tax Revenue Targets (Case Study in Sumedang Regency)
Authors: TRESNAJAYA Rd. Tatan Jaka , SUPRIYADI Supriyadi , SABNITA Nina
Published: January 2025

Regional autonomy grants local governments the authority to manage administrative and financial affairs, enabling the optimization of regional revenue, particularly through Regional Original Income (PAD). A key contributor to PAD is regional taxes, including restaurant taxes. The enactment of Law Number 1 of 2022 on Financial Relations between Central and Regional Governments (HKPD) has reshaped tax collection practices, mandating alignment with the law. This study examines the case of Sumedang Regency, a district in West Java, Indonesia. This district has successfully leveraged its geographical and economic potential to exceed restaurant tax revenue targets from 2019 to 2023despite fluctuations caused by the COVID-19 pandemic. Utilizing a mixed-method approach, this research combines qualitative and quantitative analyses to explore factors influencing restaurant tax revenue, such as GRDP, tourist visits, population, number of restaurants, national inflation rate, and BI rate. The findings reveal the need for a comprehensive strategy integrating tax revenue with cross-sectoral development policies. A "Calculator" model developed in this study provides a tool for setting realistic tax revenue targets and evaluating performance. Forecasting comparisons between multiple regression and seasonal election methods indicate that the multiple regression approach, specifically the X-moderate projection, yields optimal results. This model offers evidence-based recommendations to enhance the planning and evaluation of regional tax revenue, supporting Sumedang Regency's efforts to align with the HKPD Law and optimize PAD.
A Master of Interference: The
Daytsh
in Yiddish Literature
Authors: Schumacher-Brunhes Marie
Published: January 2025

The aim of this chapter is to further refine recent research on the
daytsh
as an archetypal figure of Yiddish culture and literature. The socio-historical
daytsh
was a Jew from the Jewish metropolises of eastern Europe who had embraced modernity and its outward signs. In literature and folklore, a complex range of characters developed out of this figure—varying from an ideal to be followed to an abomination to be avoided—against the twofold backdrop of the bankruptcy of the Haskalah and the continued attractiveness of German culture. In particular, this analysis reveals the
daytsh
as a recurring figure of ridicule and consequently as an effective farcical element throughout the nineteenth century and well into the 1930s in the humorous prose of Der Tunkeler.
German Literature in Yiddish Translation, 1891–1939
Authors: Żółkiewska Agnieszka
Published: January 2025

This chapter attempts to outline the development of Yiddish translations of German literature from 1891 to 1939. It reviews and analyses which German writers and their works were translated into Yiddish. Discussing how these translations were received, it presents the reading preferences of the Yiddish world at the time. It then reaches its main conclusion: the most sought-after authors were those of Jewish descent. Among them were remarkable individuals such as Heinrich Heine, Theodor Herzl, Sigmund Freud, Otto Weininger, and Max Nordau. Their achievements brought about new trends in literature, science, and politics, and thus they became a major source of inspiration for the modernizing Jewish society in the various parts of the Yiddish-speaking diaspora.
An Inverted Hierarchy: Ostjuden and Yekkes in Mandatory Palestine, 1933–1948
Authors: Friedenberg Nathan
Published: January 2025

This chapter examines the complex relationship between east European and German Jews in Mandatory Palestine in the 1930s and 1940s. The two groups had profoundly different experiences in the nineteenth and early twentieth centuries. In addition, in Germany, Jews from eastern Europe were often looked down on by their German co-religionists. In Mandatory Palestine, the roles were seemingly reversed. The dominant figures of the Yishuv criticized German Jews for their reluctance to integrate. This was partly because of their continued adherence to German culture and language at a time when Germany was under Nazi rule, but was mainly because a lack of integration was regarded as endangering the nation-building process of a new Jewish homeland.
Wrocław Jewish Transports, 1946: Persecuted as Jews, Expelled as Germans, Not Recognized as Victims
Authors: Luft Maria
Published: January 2025

When German Breslau became Polish Wrocław in 1945, Polish authorities perceived surviving German Jews and their non-Jewish family members as Germans. The Allies’ Operation Swallow, beginning at the end of 1945, brought Germans from Silesia into the British occupied zone and distributed them there: among them were two ‘Jewish transports’ of more than 1,500 individuals each. Archives in Detmold show that the non-Jewish members of ‘mixed marriages’ persecuted during the Nazi era often had to fight for recognition as victims, even though they had stood by their Jewish partners and been discriminated against since 1943 at the latest. Some took part in the building of the new Detmold Jewish community; others disappeared into mainstream German society; others emigrated to the new State of Israel or overseas.
A German Jewish Head Teacher in Lithuania: Memories of Schwabe’s Hebrew Gymnasium in Kovno
Authors: Rajak Tessa
Published: January 2025

In 1920, in newly independent Lithuania, a pioneering Hebrew high school was established. Dr Moshe Schwabe, a young Berlin University classicist, came from his native Germany to be head of education in the Ministry of Jewish Affairs and the school’s founding headmaster. Before he left in 1925, for a notable career at the Hebrew University of Jerusalem, he had succeeded in imprinting on the school the highest standards of teaching and learning and strikingly humane and progressive values. The school, known as Schwabe’s throughout its twenty years of existence, became a model for Hebrew-language education across eastern Europe. This short preliminary study draws on surviving records and written testimonies to highlight the problems and achievements of those early years and the cultural impact of Schwabe’s creation.
Encounters between Jews and Non-Jews in Prussian Warsaw, 1796–1806
Authors: Nesselrodt Markus
Published: January 2025

In this chapter I examine how Jewish, Polish, and Prussian residents of Warsaw interacted in the period between the city’s annexation by Prussia in 1796 and its liberation by Napoleon in 1806. Within a short timespan, the new Prussian order created spaces of interaction in which Prussian and Polish elites came together. Driven by their intention to benefit financially from the Jewish population of their recently gained provinces, the Prussians allowed Jewish migration to the former Polish capital. While this new situation created tensions between established inhabitants and newcomers, it also allowed for the development of new forms of coexistence for the Christian and Jewish inhabitants of Warsaw.
Alpha–Proton Relative Drift: Implications for the Origins and Dynamics of the Solar Wind
Authors: Wang Joseph H. , Horbury Timothy S. , Matteini Lorenzo , Trotta Domenico
Published: January 2025

Helium nuclei (alpha particles) strongly influence the momentum and energy balance in the solar wind, comprising up to 20% of the solar wind mass density. In fast Alfvénic wind at heliocentric distances greater than 0.3 au, the alpha particles’ bulk flow speed is systematically different to that of the protons. This relative drift speed is of unknown origin and is often close to the local Alfvén wave speed. Novel Parker Solar Probe measurements of the solar wind below 0.3 au show that, closer to the Sun, the alpha–proton drift speed remains on the order of 100–200 km s−1, even where the Alfvén speed is greater than 600 km s−1. This relative speed is quantitatively similar to oxygen–hydrogen drift speeds observed in the transition region by remote sensing, suggesting similar selective acceleration processes in the corona. Due to the relative speed of the Alfvén wave to each particle population close to the Sun, the alphas fluctuate with velocity amplitudes comparable to those of the protons, altering the energy balance of the wave. As a result, alpha particles carry a significant fraction of the total kinetic energy in Alfvénic fluctuations in the near-Sun solar wind. The alpha–proton drift speed is comparable to the proton speed in the near-Sun wind, making the bulk flow of the alpha particles a significant contribution to the kinetic energy flux. These heavy-ion dynamics provide new observational constraints on quantifying the energy budget of the solar wind and the magnetic field evolution through the heliosphere.
Microbial boundaries in peri-implantitis: a review of pathogen-related advances
Authors: Talib Ehab Qasim , Taha Ghada Ibrahim , Ali Dhuha Mahmood , Al-Hindawi Sahar Hashim , Al-Khayat Fadia Abd Almuhsin , Hasan Israa Amer
Published: January 2025

In the field of implantology, peri-implantitis is still a common complication of implant failure. Similar to periodontal disease, this kind of pathological condition is characterized by inflammation of the tissues surrounding dental implants or fillings. The sources of infection have been shown to be chronic periodontitis and poor maintenance of the communion. A thorough examination of the intricate components of peri-implantitis was sought in this review in order to identify common characteristics of the disease with regard to bacteria, biofilm formation, host immunological responses, diagnostic tools, and therapeutic treatments. The aim of this study was to provide a detailed overview of the different bacterial species associated with peri-implantitis, a clinical condition similar to periodontitis, characterized by a higher prevalence of staphylococci and enteric bacteria. The study underscores the importance of employing sophisticated diagnostic methods like cone beam computed tomography. It covers a range of therapeutic approaches including surgical and non-surgical techniques as well as strategies stressing host-modification and photodynamic treatment. The study was conducted using pertinent publications from scientific databases, including Scopus, Google Scholar, PubMed, and Web of Science. We searched these databases using the following terms: periodontitis, microbial, dental implants, peri-implantitis, and biofilm formation.
Prevalence of rare anatomic variants - publication bias due to selective reporting in meta-analyses studies
Authors: Papadopoulos Vasileios , Filippou Dimitrios , Fiska Aliki
Published: January 2025

Introduction: Meta-analyses of prevalence studies reporting rare anatomic variants are prone to selective reporting of non-null, confirmatory results, thus resulting in publication bias.

Aim: We aim to numerically approach this bias and evaluate the most widely used methods for its assessment.

Materials and methods: We used probability theory over three sets of real-world and a single set of simulation data to assess the maximum publication bias due to selective reporting in meta-analysis of rare anatomic variants. For each individual study, we approximated the theoretical maximum of the neglected, “not published”, part of the truth, as revealed by the corresponding null, non-confirmatory result. Furthermore, we computed the relevant pooled estimate using the Freeman-Tuckey double arcsine transformation under the random effects model and the restricted maximum likelihood (REML) estimation in STATA 18. Finally, we comparatively applied Egger’s and Begg’s test, trim-and-fill analysis, and Doi plot / LFK index to assess publication bias before and after correction for maximum selective reporting.

Results: Meta-analyses of prevalence studies reporting rare anatomic variants may exhibit significant publication bias due to selective reporting. This bias grows larger as the included studies report less confirmatory cases and may theoretically reach 50%. From all tools assessing publication bias, the LFK index was suggested to be the most informative.

Conclusions: Selective reporting might result in inflated publication bias in meta-analyses of prevalence studies reporting rare anatomic variants. Although the accurate assessment of this kind of bias is highly challenging in both theory and practice, the use of the LFK index is proposed as the most appropriate tool for that purpose.
Dans les coulisses de l’élaboration du contrat de ville, le récit de Rive-de-Gier
Authors: Benmessaoud Aïssa
Published: January 2025

Située au sud du département de la Loire, la commune de Rive-de-Gier, 15 000 habitants, est membre de Saint-Étienne Métropole, bien qu’elle relève de l’aire d’attraction de Lyon. Malgré d’importants investissements, les habitants des deux quartiers prioritaires de la Ville restent confrontés à des difficultés croissantes avec une aggravation de la précarité et des inégalités sociales. Aïssa Benmessaoud, directeur de la cohésion sociale pour la Ville de Rive-de-Gier, présente les dessous de l’écriture du contrat de ville « Engagements Quartiers 2030 » dans un contexte de grave crise sociale où les écarts se creusent dangereusement.
Quartiers en flux : les individus passent, la pauvreté reste
Authors: Botton Hugo
Published: January 2025

L’observation statistique des quartiers de la politique de la ville est classiquement effectuée à partir de données dites « en stock ». Ces dernières années, se développe une approche complémentaire permettant de mieux comprendre les dynamiques locales à l’œuvre dans chaque quartier. Cette approche, qui repose sur les mobilités résidentielles des ménages, vient nuancer les discours sur l’inefficacité de la politique de la ville en ce qu’elle échouerait à corriger les écarts de développement entre les quartiers urbains. C’est ce que démontre Hugo Botton, doctorant en sociologie, dont les travaux donnent à voir les données « en flux » comme un complément d’évaluation de cette politique et, surtout, un moyen de l’affiner.
Psychiatric Diagnostic Criteria: From RDC to
DSM
to Beyond, What Have We Learned?
Authors: Laor Daniel , Garcia Luan A. , Gershengoren Liliya , Adler Lenard A.
Published: January 2025

The
Diagnostic and Statistical Manual of Mental Disorders (DSM)
has served as the cornerstone of psychiatric diagnosis for decades, offering a standardized framework for classification, research, and treatment. This article provides a historical review of the development of the
DSM
, from early theoretical foundations rooted in Kraepelin's descriptive psychiatry to the transformative impact of
DSM-III
's medicalized approach and the adoption of Feighner Criteria. Despite its utility in improving diagnostic reliability and facilitating research advancements, the
DSM
has faced increasing scrutiny for its limitations in validity and its inability to fully address the complexity of mental illness. Emerging frameworks, such as the Research Domain Criteria (RDoC) and the Hierarchical Taxonomy of Psychopathology (HiTOP), aim to refine psychiatric nosology through dimensional and biologically informed approaches. By highlighting the
DSM
's strengths and challenges, this article underscores the need for continued innovation to capture the nuanced interplay of biological, psychological, and sociological factors in mental health.

[
Psychiatr Ann
. 2024;54(12):e320–e324.]
Using Radiotelemetry to Inform and Guide Muskellunge Culture and Stocking Techniques in Spirit Lake, Iowa
Authors: Meerbeek Jonathan R.
Published: January 2025

Agencies commonly stock Muskellunge Esox masquinongy to maintain or augment populations throughout much of North America. Muskellunge poststocking survival is variable, and adult populations are vulnerable to periodic lapses in recruitment. Radiotelemetry evaluated whether changes in stocking techniques caused recruitment declines of spring-stocked yearling Muskellunge in Spirit Lake, Iowa, or whether total length, condition, or 10-d dispersal influenced poststocking survival. The workers fitted hatchery-reared Muskellunge (38–40 fish; n = 78 fish in total) with radio transmitters and stocked in May 2016–2017 by using one of two techniques: 1) fish stocked immediately following 6-h transport in a hatchery distribution truck with Edwards treatment–laden water or 2) fish provided 36-h recovery period after a hauling event and then stocked. Radiotelemetry revealed that stocking techniques did not influence Muskellunge survival or dispersal, but survival significantly improved for fish stocked at larger sizes. Using this information, production techniques in 2018–2019 included an additional 33–40-d rearing period for Muskellunge less than 330 mm when measured for total length in mid-May. We radiotagged a subset of these fish (14–16 fish/y; n = 30 fish total), and survival improved to more than 73.4%. Subsequent application of telemetry was via a side-by-side comparison in 2020 for greater than or equal to 330-mm Muskellunge fitted with radio transmitters and stocked in May (n = 17 fish) and those reared using the grow-out procedure and stocked in June (n = 21 fish). Both cohorts experienced poor survival (39.2–56.1%), resulting from both fish and great blue heron Ardea herodias predation, despite large differences in dispersal. Regardless of stocking technique, this study identified that most mortality occurred within the first 25 d poststocking. These results indicate that Muskellunge populations in natural lakes would benefit from a better understanding of poststocking survival and stocking practices that minimize predator threats during this critical period.
Perspectives for the Potential and Future of Marine Tourism in Bangladesh
Authors: Talukder Mohammad Badruddoza , Kabir Firoj , Kaiser Fahmida , Hoque Mushfika
Published: January 2025

The marine tourism industry encompasses activities like water sports, coastal cruises, and marine biodiversity investigation, showing great potential for global economic growth and cultural advancement. This study examines the future of marine tourism in Bangladesh, a nation blessed with a rich maritime legacy, various coastal ecosystems, and its unrealized potential. The study also evaluates the present condition of marine tourism in Bangladesh by extensively analyzing extant literature, governmental directives, and case studies. To support the expansion of maritime tourism in Bangladesh, the study finds that integrated regulatory frameworks, public-private partnerships, and sustainable practices are necessary. This study suggests fully utilizing the nation's maritime resources for local communities, industry stakeholders, and legislators. Bangladesh can establish itself as a viable and alluring maritime tourist destination in the coming years by embracing a comprehensive strategy that will balance environmental preservation and economic growth.
Tourists' Expectations-Based Countryside Walking Tourism Management
Authors: Milojković Danka , Štetić Snežana , Trišić Igor
Published: January 2025

Countryside walking tourism contributes to sustainable rural socio-economic development. The purpose of the research is to observe the possibility of managing countryside walking tourism in a village according to the expectations of tourists during their travel and vacation in rural destinations. The research methodology was based on a descriptive statistical analysis using the survey for gathering data from the rural tourism demand market, and the VICE model for sustainable tourism for getting conclusions. The key result indicated that countryside walking tourism management should consider the tourists' expectations related to the clean environment. It preserved nature as the most influencing factor in the choice of a walking tour in rural destinations, and at the same time, it is more important to the female than to the male population. The authors recommend incorporating countryside walking tourism into walking strategies as a part of rural and tourism development policies.
Decision to Determine the Optimal Firm's Capital Structure
Authors: Missaoui Ibtissem , Brahmi Mohsen
Published: January 2025

This chapter aims to study several theories of capital structure in finance literature to help illuminate how companies make decisions about their capital structure. Starting with the Modigliani and Miller (1958) capital structure irrelevance theory, the review scrutinizes various theories such as trade-off theory, pecking order theory and market timing theory. These theories explain how companies balance the benefits and costs of debt and equity financing, as well as how they prioritize financing options based on information asymmetry. Nevertheless, there is still a lack of complete explanation for why some companies choose debt whereas others prefer equity under different conditions. The market timing theory introduced by Baker and Wurgler (2002) suggests that companies' capital structure decisions are affected by their past attempts to time the equity market. The predictions of these theories sometimes conflict with each other, leaving Myers (1984)question of “How companies choose their capital structure?” still unanswered after 32 years.
Examining the Sector-Specific Ramifications of Initial Public Offering (IPO) Underpricing in the Indian Stock Market
Authors: Krishnan Deepika , Brahmi Mohsen , Archana K.
Published: January 2025

This study delves into the phenomenon of IPO (Initial Public Offerings) under-pricing in India and its implications on Nifty 50 index, both pre-pandemic and during the pandemic, with a specific focus on categorizing IPOs into three sectors: industrial, financial, and service. To analyse this, we employed the Market Adjusted Abnormal Return (MAAR) and Ordinary Least Squares Regression (OLS) model, which allowed us to investigate how market return, listing gain, oversubscription, issue price, and issue size impact IPO under-pricing and its subsequent effect on the Nifty 50 index. The results obtained through the OLS analysis revealed that, except for market index return, all the aforementioned factors exerted a significant influence on IPO under-pricing. Furthermore, we conducted t-tests to assess Market Adjusted Abnormal Return. This analysis revealed a significant degree of under-pricing in IPOs of industrial, financial, and service sectors.These findings serve as valuable insights for investors seeking to navigate the complexities of IPOs and their initial returns.
Production Sector Dynamics
Authors: Khan Muhammad Shahzeb , Hameed Salman , Dahri Abdul S.
Published: January 2025

This chapter deeply explores the production sector's complex dynamics, emphasizing the revolutionary effects of manufacturing technology breakthroughs. This chapter explains how automation, additive manufacturing, and the Internet of Things (IoT) revolutionize production processes, increase efficiency, and improve supply chain operations. It does this by exploring these technologies in detail. The unique contributions of each technology are that automation enhances productivity and consistency while lowering costs and minimizing human error; additive manufacturing, or 3D printing, allows for mass customization, decreases waste, and speeds up prototyping; and IoT enables real-time monitoring, predictive maintenance, and supply chain optimization. These technologies are propelling the development of smart factories and Industry 4.0, leading to highly efficient, flexible, and responsive production systems. A practical experience that simulates the establishment of an intelligent factory enhances students' comprehension of Industry 4.0 technology and in digitalized environment.
The Teaching of Physical Geography in Teacher Training
Authors: García Óscar Jerez , Serrano de la Cruz Santos-Olmo Manuel Antonio
Published: January 2025

Physical Geography has used educational itineraries in natural environments as a key tool to promote practical learning and environmental awareness. In Castilla-La Mancha, National and Natural Parks serve as ideal settings for training activities organized by the Department of Geography at the University of Castilla-La Mancha, primarily aimed at future Primary Education teachers. Over two decades, more than thirty field trips have been conducted with nearly 1.500 students, documenting and analyzing learning outcomes. The hypothesis is that students have limited knowledge of local natural areas, making it crucial to provide them with the means to know and appreciate these environments. A model has been developed that combines theoretical and methodological foundations to design school excursions, thereby promoting an understanding of landscapes and the ability to organize educational outings that integrate geographical knowledge with environmental awareness.
“Learn to Take Care of the Environment”
Authors: Ruiz Nuria Cuartero , Morcillo-Martínez Antonio , Gómez-Barreto Isabel María
Published: January 2025

The inclusion of topics related to the postulates of sustainable development has gained special relevance in educational field. The current educational law, LOMLOE, includes principles and values related to the promotion of education for sustainable development pursuing the formation of citizens committed to the construction of a more sustainable world, being essential to involve students from an early age and develop educational actions aimed at addressing from the classroom the current problems and challenges of climate emergency. This chapter focuses on the treatment of environmental sustainability and aims to highlight the importance of addressing the sustainable development goals in the implementation of the educational curriculum in the 4th year of Primary Education, with the main objective of promoting awareness and sensitivity towards the marine world through the development and design of an innovative educational proposal focused on working the claims of sustainable development goal no. 14 (Life below water).
The Study of Relevant Social Issues in the Teaching of Geographic Space in Primary Education
Authors: Muñoz Carmen Escribano
Published: January 2025

Primary education plays a fundamental role in shaping future citizens who are critical and engaged with their environment. In this context, the study of geographic space could become an essential tool for understanding the social and environmental realities of the world around us. When reviewing teaching practices, they are predominantly framed within a traditional approach that often focuses on memorization and abstract content. This makes it difficult for students to understand the relevance of geographic space in their daily lives and in the current society. To achieve these objectives, various didactic strategies are proposed throughout this chapter. These strategies are framed within a pedagogical approach that promotes knowledge construction through experience and critical reflection, enabling students to learn to understand social problems, investigating their causes and consequences, and participate in the search for solutions. This contributes to the construction of a more just, equitable, and sustainable society.