bluuebunny/crossref_metadata_2025 huggingface dataset:
Conflictos Sociales en Perú: El caso de Puno y sus Implicaciones Educativas (2022-2023)
Authors: Milla Canales Gustavo
Published: January 2025

El objetivo del trabajo de investigación es diagnosticar y analizar las causas, y consecuencias de los conflictos sociales en la región de Puno ocurridos durante el periodo comprendido entre los años 2022 y 2023. Como parte de  las estrategias metodológicas, esta investigación se realizó bajo el enfoque mixto, (enfoques cuantitativo y cualitativo). Como parte del enfoque cuantitativo su diseño es no experimental y por su tipo es descriptivo. Como parte del diseño cualitativo el tipo de investigación corresponde al estudio de caso. Entre los principales hallazgos se buscó la información correspondiente para realizar un diagnóstico, posteriormente se elaboró un análisis y se complementó con la información del trabajo de campo realizada en la ciudad de Puno durante los meses de mayo y noviembre del 2023, habiéndose aplicado los instrumentos para el recojo de información respectivos. Como parte de las conclusiones el investigador conocedor de la problemática realiza una redacción en base a su experiencia y vivencia en el mismo lugar de los hechos.
Implementasi BGP dengan RPKI Pada Jaringan PT. Bintang Mataram Teknologi Menggunakan Mikrotik Router OS
Authors: Budi Rahayu Tri , Suharjo Imam
Published: January 2025

Protokol Border Gateway Protocol (BGP) merupakan pondasi dalam pertukaran informasi routing antar Autonomous System (AS) di internet. Namun, keamanan BGP telah menjadi perhatian utama karena rawan terhadap serangan seperti hijacking dan spoofing. Resource Public Key Infrastructure (RPKI) menjadi solusi yang mengonfirmasi asal rute BGP, mengurangi risiko serangan tersebut. Tujuan dari penelitian ini adalah untuk menerapkan dan mengevaluasi keamanan BGP dengan RPKI pada jaringan PT. Bintang Mataram Teknologi yang menggunakan MikroTik RouterOS 7. Implementasi melibatkan konfigurasi RPKI pada router MikroTik untuk mengonfirmasi dan memberikan izin pada asal rute BGP. Simulasi serta implementasi dilakukan menggunakan EVE-NG sebagai simulator dan sebuah Virtual Server yang berperan sebagai RPKI Validator. Pengujian dilakukan menggunakan 3 AS, 6 router, 2 virtual PC, 1 virtual server  untuk validator, dan 1 virtual PC sebagai fake server DNS Google. Hasil penelitian menunjukkan bahwa implementasi RPKI pada jaringan PT. Bintang Mataram Teknologi dengan menggunakan MikroTik RouterOS 7 dapat meningkatkan keamanan BGP dengan mengonfirmasi asal rute yang diterima. Evaluasi menunjukkan bahwa RPKI efektif dalam mengurangi risiko serangan BGP, dengan tambahan beban yang masih dapat diterima dalam operasi jaringan. Penelitian ini memberikan sumbangan dalam memperkuat keamanan infrastruktur jaringan, terutama dalam konteks penerapan MikroTik RouterOS 7 untuk mengimplementasikan RPKI dalam melindungi layanan dan data sensitif dari serangan terhadap BGP.
Deteksi Berita Salah Pada Pemilihan Umum Presiden 2024 Menggunakan Metode Naïve Bayes Berbasis Website
Authors: Musthafa Aziz , Muriyatmoko Dihin , Taufiqurrahman  , Kamal Sholihin Surya
Published: January 2025

Mendekati masa pemilihan umum, banyak berita salah yang muncul ditengah-tengah masyarakat menggiring opini masyarakat agar memilih calon presiden yang didukung pembuat berita salah. Diawal tahun 2024, Kementerian Komunikasi dan Informasi telah mengidentifikasi total 203 isu hoax pemilu yang tersebar di berbagai platform berita digital. Oleh karena itu membuat masyarakat yang ingin mengikuti berita perkembangan pemilu menjadi ragu. Tujuan dari penelitian ini membuat aplikasi pembelajaran mesin yang dapat mengklasifikasikan berita benar atau salah secara otomatis dan mudah. Dalam mengklasifikasikan berita, digunakan teknik Penambangan Teks (Text Mining) yang dapat mengolah data teks atau dokumen untuk mendapatkan informasi yang dibutuhkan. Metode yang digunakan yaitu klasifikasi Naïve Bayes. Data yang digunakan berupa berita benar dan berita salah dari situs Turn Back Hoax oleh MAFINDO (Masyarakat Anti Fitnah Indonesia) yang menyediakan sumber berita terverifikasi benar dan telah melabeli berita salah yang beredar di masyarakat. Implementasi menggunakan aplikasi berbasis website untuk klasifikasi berita Pemilihan Umum. Hasil klasifikasi dari website dengan menggunakan metode klasifikasi Naïve Bayes mendapatkan hasil evaluasi akurasi yang baik, yaitu sebesar 91% tingkat akurasi klasifikasinya. Berdasarkan hasil pengujian tersebut, diharapkan hasil penelitian ini dapat memberikan sumbangan bagi literasi digital masyarakat mengenai kearuratan berita pemilu
Penerapan Metode SMART Dan Pembobotan ROC Pada Pemilihan Destinasi Wisata Teraman Di Indonesia
Authors: Iqbal Muhammad
Published: January 2025

Penelitian ini mengkaji penerapan pembobotan Rank Order Centroid (ROC) dan metode Simple Multi-Attribute Technique (SMART) dalam memilih destinasi wisata teraman di Indonesia untuk membantu wisatawan memilih destinasi wisata yang menarik dan aman. Penelitian ini dilatarbelakangi oleh kebutuhan wisatawan akan informasi yang akurat dan perlindungan yang memadai selama melakukan perjalanan, sebagaimana tertuang dalam Undang-Undang Pariwisata Nomor 10 Tahun 2009. Metode SMART digunakan karena dapat menangani berbagai kriteria yang berbeda dan memberikan informasi yang komprehensif. Hal ini memungkinkan untuk mengevaluasi berbagai faktor keamanan. Di sisi lain, metode ROC memberikan bobot proporsional pada setiap kriteria yang diidentifikasi, sehingga meningkatkan akurasi proses pemeringkatan destinasi wisata. Penelitian ini menerapkan metode SMART dan ROC untuk mengevaluasi berbagai destinasi wisata di Indonesia. Hasilnya menunjukkan Provinsi Jawa Tengah menduduki peringkat pertama destinasi wisata teraman dengan skor 0,991. Hasil tersebut menunjukkan bahwa kombinasi metode SMART dan ROC efektif dalam membangun sistem pendukung keputusan yang dapat memberikan rekomendasi yang akurat dan dapat diandalkan kepada wisatawan. Sistem ini bertujuan untuk membantu wisatawan mengambil keputusan yang lebih cerdas ketika memilih tujuan perjalanannya, dengan mempertimbangkan aspek keselamatan yang sering terlupakan. Lebih lanjut, penelitian ini diharapkan dapat memungkinkan pengelola destinasi wisata untuk meningkatkan standar keselamatan dan pelayanan serta memberikan pengalaman perjalanan yang lebih aman dan nyaman bagi wisatawan.
Parameter Tuning dalam Klasifikasi Load Factor pada Bus Rapid Transit (BRT)
Authors: Hakim Muhammad Iman Nur , Siswanto Joko , Anggari Nuryono Aninditya
Published: January 2025

Public transport services are facing more challenges and some problems are gradually emerging with the increase in public transport users and varying travel demands. BRT as a type of public transportation in determining efficiency, service feasibility, and determining operational costs refers to the load factor. BRT bus load factor classification using KNN is proposed with parameter tuning to increase accuracy values. KNN algorithm with tuning parameters on 2 types of matrices (Minkowski and Euclidean) for BRT load factor classification for Transjatim corridor 1. The BRT load factor classification with the KNN algorithm increased by 7.81% by tuning parameters on the Euclidean matrix compared to the Minkowski matrix. The increase in accuracy is reflected in the confusion matrix with changes in increasing true negatives and decreasing false positives. Category 1 has a higher class than category 2 for boarding and alighting passengers. The classification presented can be a reference for Transjatim Corridor 1 Managers in determining efficiency, feasibility and operational costs.
Peramalan Penjualan Laptop Menggunakan Metode Long Short Term Memory (LSTM)
Authors: Fernando Candra Yulianto  , Noor Latifah
Published: January 2025

Industri penjualan laptop tidak hanya dipengaruhi oleh kemajuan teknologi, tetapi juga dipengaruhi oleh perubahan cepat dalam prefernsi konsumen dan perubahan kondisi ekonomi seseorang. Permintaan laptop dari konsumen bervariasi secara signifikan dari waktu ke waktu, yang dipengaruhi oleh beberapa faktor seperti kualitas produk, harga produk, citra merek, dan kecepatan peluncuran model baru. Ketidakstabilan faktor tersebut membuat penjual laptop mengalami kesulitan dalam melakukan restock barang di tokonya, dari beberapa kasus yang ada penjual laptop sering mengalami overstock ataupun stockout. Salah satu metode yang dapat digunakan untuk memprediksi penjualan barang adalah metode Long Short Term Memory (LSTM). Dimana dalam pembuatan model tersebut dibagi menjadi 3 category yaitu low-end category, mid-end category dan high-end category. Untuk low-end category memiliki kriteria harga <= Rp. 8.000.000 sedangkan mid-end category memiliki kriteria harga > Rp. 8.000.000 dan <= Rp. 16.000.000 dan untuk high-end category memiliki kriteria harga > Rp. 16.000.000. Untuk pengoptimalan hasil prediksi digunakanlah metode optimasi Adaptive Moment Gradient (ADAM). Berdasarkan uji coba dengan menggunakan metode tersebut didapatkan hasil berupa RMSE (low-end category): 30.4401 dan R2 Score (low-end category): 0.9804,  RMSE (mid-end category): 14.1007 dan R2 Score (mid-end category): 0.9956, dan RMSE (high-end category): 14.5063 dan R2 Score (high-end category): 0.9964.
Analisa Dampak Penggunaan Chat Generative Pre-Training Transformer (GPT) Dilingkungan Universitas Hang Tuah Pekanbaru Menggunakan Metode Technology Acceptance Model (TAM)
Authors: Oktaviani
Published: January 2025

Penggunaan teknologi Chat Generative Pre-Training Transformer (ChatGPT) dilingkungan pendidikan menjadi perhatian yang semakin meningkat.  Dengan kemampuannya, ChatGPT dapat membantu dalam tugas maupun pekerjaan sehari – hari. Penelitian ini bertujuan untuk menganalisa dampak penggunaan ChatGPT di Universitas Hang Tuah Pekanbaru dengan menerapkan pendekatan TAM (Technology Acceptance Model). TAM (Technology Acceptance Model) digunakan untuk prediksi penerimaan dari sistem pengguna, yang dirancang untuk melakukan prediksi bukan deskripsi. Pendekatan kuantitatif diterapkan pada riset ini dengan menerapkan software IBM SPSS Statistics versi 21 untuk pengujian deskriptif dan software SmartPLS 3.0 untuk pengujian hipotesis, melalui penyebaran kuesioner dengan jumlah 96 sampel yang terdiri dari mahasiswa 86 orang dan dosen 10 orang di Universitas Hang Tuah Pekanbaru.  menunjukkan hasil bahwa variabel PEOU memiliki jumlah persen sebesar 80,2% dengan kategori baik, variabel PU memiliki jumlah persen sebesar 74,3% dengan kategori baik, variabel ATU memiliki jumlah persen 75,5% dengan kategori baik, variabel BITU memiliki jumlah persen 51,3% dengan kategori sedang dan variabel ASU memiliki jumlah persen 58% dengan kategori sedang. Dapat disimpulkan hasil analisa dampak penggunaan ChatGPT menggunakan metode TAM (Technology Acceptance Model) menunjukkan hasil sangat baik dan baik yang artinya dampak penggunaan ChatGPT memiliki dampak positif.
Aplikasi Prediksi Debit Aliran Bulanan Berbasis Web menggunakan Model Regresi Linier
Authors: Ardiansah Irfan , Putri Selly Harnesa , Rubiyanti Yanti , Pujianto Totok
Published: January 2025

High rainfall is one of the main factors causing flooding in a Watershed. To overcome this problem, we develop internet-based applications to be a potential solution. This study aims to design a web-based application that is able to predict the monthly flow rate, as well as determine the flow rate at each measuring station in a Watershed. The method used in this study is software engineering by applying simple linear regression as a prediction method. In this case, rainfall acts as an independent variable, while flow discharges as a dependent variable. The prediction results showed that the flow rate at several stations that we coded A, B, C, D, and E were 3.37 m3/s, 4.49 m3/s, 11.96 m3/s, 19.79 m3/s, and 12.26 m3/s, respectively. These results provide an overview of the potential of water flow at various Sub-watershed points to be utilized as a data-based flood mitigation measures.
USO DE UMA MATRIZ DE SILICONE PARA TRANSFERIR PLANOS GUIA ENCERADOS EM SUPERFÍCIES PROXIMAIS DIVERGENTES
Authors: Freitas-Fernandes Frederico Silva de , Lucena Ferreira Sílvia Carneiro de , Carvalho Daniel , De Castro Pereira e Silva Mustafar , Silva da Costa Yana Mara
Published: January 2025

Durante o planejamento de uma Prótese Parcial Removível, é fundamental estabelecer o paralelismo entre as faces proximais dos dentes pilares e a trajetória de inserção escolhida. Essas superfícies, chamadas de planos-guia, frequentemente precisam ser confeccionadas pelo profissional através de intervenções que são planejadas durante o delineamento. Assim, o objetivo do trabalho é apresentar uma técnica de confecção de plano guia em dentes pilares que apresentam faces proximais divergentes em relação ao eixo de inserção da futura prótese. Para isso, foi realizado o delineamento do modelo de estudo e, após a determinação da trajetória de inserção, identificou-se a ausência de plano guia na face distal de um dente pilar direto. Considerando a característica de expulsividade da superfície, optou-se por fazer a adequação através de restauração de resina composta. Inicialmente, realizou-se o enceramento do elemento no delineador para assegurar o paralelismo da superfície dental em relação ao eixo de inserção determinado. Foi confeccionada uma muralha de elastômero para cópia do enceramento a qual foi, então, utilizada como matriz de referência para a restauração em boca. Após a análise do modelo de trabalho, pôde-se observar a adequação da face distal do dente seguindo o paralelismo da trajetória de inserção. Assim, conclui-se que a técnica descrita pode ser adotada para esse tipo de situação clínica uma vez que permite a obtenção do plano guia de acordo com as referências estabelecidas, garantindo o adequado funcionamento biomecânico da prótese.
AI-Driven Sustainable Habitat Design: Key Policy Frameworks and Ethical Safeguards
Authors: Amen Mustafa Aziz
Published: January 2025

Artificial intelligence (AI) is transforming the field of sustainable habitat design by enabling data-driven strategies that reduce resource consumption, enhance occupant comfort, and optimize urban infrastructures. This study examines how AI-driven tools, including machine learning algorithms, generative design models, and IoT-based sensors, can be integrated into design workflows to achieve energy efficiency, promote circular economies, and foster climate resilience. Through a mixed-method approach incorporating systematic literature review, policy analysis, and conceptual modeling, we identified critical policy imperatives—such as data governance, standards, and incentives—that guide responsible AI adoption. Findings indicate that robust data governance frameworks are essential for balancing privacy concerns with the need for high-quality datasets, while transparency and accountability standards mitigate algorithmic biases and performance uncertainties. Additionally, public-private partnerships and financial incentives can accelerate innovation by bridging research and real-world application. Ethically, stakeholders must tackle algorithmic bias, ensure equitable data representation, and maintain transparent decision-making to prevent marginalization of vulnerable populations. By demonstrating the potential of AI to drive holistic sustainability targets, our research underscores the importance of comprehensive policy guidelines and ethical safeguards in shaping equitable, efficient, and resilient built environments. Ultimately, these frameworks unify innovation and equity.
Smart Integration of XR Technologies in Architectural Education: Metaverse Opportunities and Challenges
Authors: Mohamed Hebatallah Hamdy
Published: January 2025

Extended Reality (XR) technologies—encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)—are transforming architectural education by offering interactive, student-centered learning within immersive Metaverse environments. This study examines the level of adoption, benefits, and challenges of XR integration in Middle Eastern architecture programs, highlighting both qualitative and quantitative insights derived from comprehensive literature reviews and a questionnaire survey of 266 participants. Results indicate that although 35% of respondents are highly familiar with XR, broader curriculum-wide integration remains fragmented. XR-based design studios are the primary area of adoption, emphasizing immersive, hands-on training that facilitates spatial understanding and sustainable design insights. Nonetheless, institutional barriers—such as limited infrastructure, substantial cost outlays, and the need for faculty training—constrain widescale implementation. Student-specific challenges include accessibility concerns, health implications of prolonged VR usage, and the scarcity of high-speed internet in some educational contexts. Despite these hurdles, XR fosters enhanced collaboration, global engagement, and real-time design prototyping, foreshadowing significant pedagogical shifts. The study recommends establishing dedicated XR labs, faculty development programs, and strong industry partnerships to support large-scale XR adoption. Future research should focus on in-depth frameworks and Participatory Action Research (PAR) to systematically integrate XR across architectural curricula. Adapting to these immersive platforms could reshape how architectural students conceive, create, and critique built environments.
Konsep Kebijakan dan Pengelolaan Teluk Kendari Sebagai Kawasan Pariwisata Perkotaan yang Berkelanjutan
Authors: Said Farid , Maoudy A. Bakty Andi Fatimah , Widjaja Herry Rachmat , Abdullah Nur Muhammad
Published: January 2025

Penelitian ini mengkaji tentang perancangan konsep pengelolaan Teluk Kendari yang menjadi ikon Kota Kendari dan menjadi permasalahan dari tahun ke tahun. Meskipun Pemerintah Kota Kendari telah melakukan pembangunan pariwisata, namun belum ada pengelolaan dan perawatan yang berkelanjutan sehingga berdampak pada rendahnya kontribusi pariwisata Kota Kendari terhadap PDB yang dihasilkan. Hal ini disebabkan oleh kurangnya kerjasama antar pemangku kepentingan terkait. Penelitian ini menggunakan pendekatan kualitatif dan kuantitatif dengan menyebarkan kuesioner, observasi, dan wawancara mendalam kepada masyarakat sekitar kawasan Teluk Kendari, pelaku industri pariwisata, dan pemerintah daerah. Penelitian ini berfokus pada dua titik yang dikembangkan yaitu Kendari Water Sport dan Papalimba Water Tourism Lapulu. Kedua lokasi ini sudah ada namun belum mampu meningkatkan jumlah pengunjung di kawasan Teluk Kendari. Hasil penelitian ini memberikan rekomendasi model konsep kebijakan yang ideal untuk pengelolaan kawasan Teluk Kendari. Hasil penelitian ini diharapkan dapat ditindaklanjuti oleh para pengambil kebijakan dengan membentuk suatu badan pengelola yang berfokus pada pengelolaan Teluk Kendari.
Innovative design method for dual-Bell nozzles in rocket propulsion systems
Authors: Abourub Sanaa , Kbab Hakim , Tcherak Anis , Abada Omar
Published: January 2025

The primary aim of a dual bell nozzle is to enhance performance by utilizing the principle of auto-adaptation based on altitude variations. This system offers the advantage of automatically adjusting the flow for two operational modes (low and high altitude) without the need for mechanical activation. Although the concept is theoretically straightforward, the structural forces involved can be considerable . This study presents a numerical approach for designing such nozzles. It utilizes transonic flow methods to establish the starting line for subsequent supersonic calculations, while the method of characteristics is employed to create the base nozzle profile. The base nozzle is modeled as a second-degree polynomial, with its constants derived from initial conditions. To reduce the weight of the nozzle, truncation is performed at a point that achieves the best compromise between weight and performance. The profile of the second curve is calculated to maintain a constant wall pressure, which is accomplished using the direct method of characteristics applied to a centered expansion wave with an intensity ratio of P2/P1 at the junction. After generating the profile, an analysis of the evolution of thermodynamic parameters (such as pressure and Mach number) and aerodynamic performance is conducted. To ensure accuracy, the results are compared with numerical databases from ONERA nozzle studies. Flow simulations in the nozzle are carried out using the Ansys 13.0 environment with various mesh types. Additionally, to mitigate boundary layer effects, the k-ω SST turbulence model is utilized in the simulations. The results obtained from the method of characteristics and numerical simulations are compared with computed results from the literature, showing good agreement and similarity.
Removal of carbon dioxide by adsorption using various adsorbents: A Review
Authors: Achugbu O.E.  , Nwabanne J.T.  , Okey-Onyesolu C.F.  , Modozie B.U.
Published: January 2025

The purpose of this work is to put together a concise review of previous open access works on the removal of CO2 using various adsorbents. Previous works on this focused on comparing the adsorption capacity of activated amine-modified and non-modified adsorbents. Most of the adsorbents used by previous researchers were thermally and chemically activated. Thermal and chemical activation play vital roles in the modification of the adsorbents by clearing their active sites of impurities and increasing the porosity of the adsorbents. For comparative analyses, some researchers enhanced part of their activated adsorbents using amine groups which have great affinity for CO2. The following amine groups were used by previous researchers to enhance the adsorbents for higher CO2 uptake: monoethanolamine (MEA), diethanolamine (DEA), Triethanolamine (TEA), Tetraethylenepentamine (TEPA), polyethylenimine (PEI), methyl-diethanolamine, pentaethylenehexamine or the combination, PEI/MEA or even NaOH. On wet impregnation, these amine groups subsequently occupy the active sites released during activation. During the adsorption experiment, the carbon dioxide gas is chemisorbed by these amine groups as it comes in contact with the adsorbents surfaces. Results obtained by previous researchers on the adsorption capacity of the plain and amine-enhanced adsorbents were not all in agreement. While majority claimed that the adsorbents modified with amine groups adsorbed better than the unmodified ones, few claimed the reverse was their results. Most of the adsorbents used showed good adsorption-desorption regenerability of 7-16 cycles. The review further showed that the Freundlich isotherm model was found to be the best for fitting the CO2 adsorption isotherm.
ESG investment strategies and the financial performance of European agricultural companies: a new modelling approach
Authors: Cristea Mirela , Noja Grațiela Georgiana , Drăcea Raluca Mihaela , Iacobuță-Mihăiță Andreea-Oana , Dorożyński Tomasz
Published: January 2025

This paper aims to appraise the impact of ESG credentials on the financial performance of agricultural companies with main headquarters in Europe by examining the strategic ESG investment behaviour of firms in twelve specific sectors. The methodology consists of a two-fold approach: first, cross-sectional FGLS regression with generalised least squares; second, overall interlinkages between considered variables through Bayesian network analysis. The research questions focus on the implications of each ESG pillar – environmental, social, and governance – on the performance of agricultural companies. Key findings entail that the environmental dimension strongly relates to agricultural companies’ outcomes, such as toxic chemicals reduction strategies, waste recycled to the total waste contribution, biodiversity impact reduction, and eco-design products. As regards the social pillar of ESG, salaries and wages positively relate only to shareholders’ earnings, while governance factors like CEO compensation, board structure type, and board’s gender diversity favourably influence the financial performance of agricultural companies. ESG implications for agricultural companies are beneficial when they implement sustainable strategies. These strategies include establishing targets for water efficiency policies, increasing employee turnover, maintaining a steadfast water efficiency policy, enhancing the use of environmentally-friendly products, and reevaluating board structures from unitary to two-tier or mixed types.
Testing the Universality of Self-organized Criticality in Galactic, Extragalactic, and Black Hole Systems
Authors: Aschwanden Markus J. , Göǧüş Ersin
Published: January 2025

In this study, we test whether the power law slopes (α

F
) for fluxes (F), and (α

E
) for energies (E) are universal in their size distributions,

N
(
F
)
∝

F

−

α

F

and

N
(
E
)
∝

E

−

α

E

, in astrophysical observations of galactic, extragalactic, and black hole systems. This is a test of fundamental importance for self-organized criticality (SOC) systems. The test decides whether (i) power laws are a natural consequence of the scale-freeness and inherent universality of SOC systems, or (ii) if they depend on more complex physical scaling laws. The former criterion allows quantitative predictions of the power-law-like size distributions, while the latter criterion requires individual physical modeling for each SOC variable and data set. Our statistical test, carried out with 61 published data sets, is consistent with the former option, which implies that observed power laws can simply be derived from the scale-freeness and do not require specific physical models to understand their statistical distributions. The observations show a mean and standard deviation of α

F
= 1.78 ± 0.29 for SOC fluxes and α

E
= 1.66 ± 0.22 for SOC fluences, and thus are consistent with the prediction of the fractal-diffusive SOC model, with α

F
= 1.80 and α

E
= 1.67.
Cobitis beijingensis, a new spined loach from northern China (Cypriniformes, Cobitidae)
Authors: Sun Zhi-Xian , Li Xue-Yuan , Li Xue-Jian , Hao Jun-Yuan , Sheng Dong , Zhao Ya-Hui
Published: January 2025

A new spined loach, Cobitis beijingensis, is described from Beijing, China. The new species can be distinguished from other congeners by a combination of characters: 1) Lamina circularis on pectoral fin of male elongated, posterior margin slightly serrated; 2) possessing 14–18 (mode 15) pre-pelvic myotomes; 3) pelvic fin inserted below 3rd–5th branched dorsal-fin ray; 4) total vertebrae 4+ 36–38 (mode 37); 5) L2 of the Gambetta’s pattern does not exist or is fused with L1. The molecular phylogenetic analyses based on mitochondrial Cyt b also support C. beijingensis to be a new species.
Revisiting the genus Nodularia (Bivalvia, Unionidae): Mitochondrial phylogenomics and the description of a new species
Authors: Hou Kaiyu , Liu Xiaoyan , Zhang Liping , Li Gaiping , Wu Ruiwen
Published: January 2025

The genus Nodularia poses a significant challenge to traditional species classification and identification due to its highly convergent and variable shells, rendering it one of the most intricate groups within the family Unionidae. Fortunately, significant progress has been made by researchers in recent years regarding the species validity and the phylogeny of this group based on molecular data. However, the inadequate exploration of regional constraints and inherent limitations in research methodologies remains a crucial factor contributing to the underestimation of species diversity. In this study, a new species of freshwater mussel from the Qingshui River in Nanning City, Guangxi Province, China, Nodularia guiensissp. nov., is described based on shell morphology, anatomical characters, and molecular phylogenetics. Mitochondrial phylogenomic analyses reveal the following phylogenetic relationships: (((Nodularia hanensis + Nodularia micheloti) + Nodularia dorri) + (Nodularia breviconcha + (Nodularia huana + (Nodularia fusiformans + (Nodularia guiensissp. nov. + ((Nodularia nuxpersicae + Nodularia nipponensis) + (Nodularia dualobtusus + Nodularia douglasiae))))))). The discovery of this new taxon further enhances the diversity level within the genus Nodularia in China and also highlights the necessity for comprehensive surveys of unexplored regions in order to potentially unveil additional new taxa in the future.
Entrepreneurs des Industries Culturelles et Créatives : quel profil effectual ?
Authors: Da Fonseca Marie , Davignon Mélanie , Villesèque-Dubus Fabienne
Published: January 2025

Les entrepreneurs des Industries Culturelles et Créatives (ICC) doivent concilier les impératifs commerciaux de l’entrepreneuriat avec la création de projets artistiques uniques et innovants. Cet article explore comment ils mobilisent le processus entrepreneurial effectual pour assurer la viabilité de leurs projets marqués par l’incertitude. Grâce à des entretiens semi-directifs menés auprès d’entrepreneurs des ICC, nous avons observé des divergences dans la mobilisation de ce processus en fonction des profils des entrepreneurs.
Artiste et entrepreneur pour la planète – Instituto Terra : s’inspirer de Sebastião et Lélia Salgado pour entreprendre aujourd’hui
Authors: Verzat Caroline , Makaya Christian , Jacquemin Amélie
Published: January 2025

Nous racontons l’histoire entrepreneuriale du photographe Sebastião Salgado. C’est en couvrant des conflits armés qu’il a réalisé l’ampleur des souffrances humaines et de la beauté si fragile et menacée de notre planète. Voilà qui a forgé chez lui une solide intention de se mettre en action pour contribuer au travail de guérison des peuples et de la terre. Il a ainsi fondé l’Instituto Terra qui a non seulement permis une revitalisation de la biodiversité locale, mais qui a aussi contribué à la création d’emplois verts et à l’amélioration des conditions de vie des habitants. Les transformations opérées par l’institut ont inspiré Salgado à capturer la beauté restaurée de la nature, en documentant la régénération des écosystèmes et la résilience des communautés. Le parcours de Salgado montre qu’une démarche artistique peut devenir un projet entrepreneurial, où la motivation économique, loin d’être égoïste, s’intègre à une vision élargie et durable des parties prenantes.
LLM-Collab: a framework for enhancing task planning via chain-of-thought and multi-agent collaboration
Authors: Cao Hong , Ma Rong , Zhai Yanlong , Shen Jun
Published: January 2025

Large language models have shown strong capabilities in performing natural language planning tasks, largely due to the chain-of-thought method, which enhances their ability to solve complex tasks through explicit intermediate inference. However, they face challenges in acquiring new knowledge, executing calculations, and interacting with the environment. Although previous work has enabled large language models to use external tools to improve reasoning and environmental interaction, there was no scalable or cohesive structure for these technologies. In this paper, we present LLM-Collab, where Collab represents the cooperative interaction between two AI agents, and the large language model plays a key role in the creation of AI agents. For this method, we took large language models as the reasoning core for AI agents and designed two AI agents to cooperate on the planning tasks: One as an analyst for tool selection and phase validation, and the other as an executor of specific tasks. Our method provided a comprehensive list of external tools to facilitate the invocation and integration of agents, ensuring a seamless collaboration process. This paradigm established a unified framework for autonomous task-solving based on massive language models by demonstrating how language communication and tool selection enable multi-agent collaboration.
Integral method from even to odd order for trigonometric B-spline basis
Authors: Li Mei , Shen Wanqiang
Published: January 2025

The conventional trigonometric B-spline basis of odd order for piecewise trigonometric polynomial space possesses a lot of good modeling properties. However, its order cannot be increased by the integral method like B-spline because of the particularity of the trigonometric polynomials. In the paper, a basis in an even-order trigonometric polynomial space is defined, and its integral relation with the existing odd-order trigonometric B-spline basis is obtained. First, the condition of the knot sequence is improved to ensure the nonnegativity of the prior odd-order trigonometric B-spline basis. Under the revised condition, a set of truncation functions is given and used to build a basis for piecewise trigonometric polynomial space without constant terms, which is also known as the direct current (DC) component-free space, secondly. The basis fulfills local support and continuity properties like B-spline of even order, and each basis function is unique under a constant multiple. Thirdly, the integral formula from the even-order to odd-order trigonometric B-spline basis is proved.
Modified likelihood approach for Wald-typed interval of the shape parameter in Weibull distribution
Authors: Srisuradetchai Patchanok , Somsamai Jatuporn , Phaphan Wikanda
Published: January 2025

The Weibull distribution, widely used in lifetime analysis, is characterized by its shape parameter. We analytically derived Wald-type confidence intervals using standard and modified profile likelihood methods. Performance was assessed through a simulation study examining coverage probability (CP) and average length (AL) across twelve scenarios, varying the shape parameter from 0.5 to 10, the scale parameter from 0.5 to 5, and a range of sample sizes from 5 to 200. The proposed intervals were compared with traditional Wald, profile likelihood, and modified profile likelihood intervals. Our results indicated that the proposed intervals, especially those based on modified profile likelihood, consistently outperformed traditional methods, particularly with small sample sizes. Reductions in either the shape or scale parameter led to shorter AL, as the shape parameter was inversely related to CP. For larger sample sizes (over 30), all interval methods performed similarly, confirming the robustness of the derived intervals across sample sizes. Additionally, the methods were applied to real data on hospital-acquired urinary tract infections, demonstrating their practical utility in healthcare settings.
Monotone iterative and quasilinearization method for a nonlinear integral impulsive differential equation
Authors: Li Yan , Rui Zihan , Hu Bing
Published: January 2025

In this paper, we discuss the existence and approximation of solution sequences for a class of nonlinear ordinary differential equations with an impulsive integral condition. Our major methods were the monotone iterative and quasilinearization techniques. Interestingly, many new results could be obtained, which were different from the functional differential equation.
Outcomes of dietary interventions in the prevention and progression of Parkinson's disease: A literature review
Authors: Ansari Ubaid , Omid Alexi , Nadora Dawnica , Wen Jimmy , Omid Arman , Lui Forshing
Published: January 2025

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and non-motor symptoms, primarily due to the degeneration of dopaminergic neurons in the substantia nigra pars compacta (SNpc). Factors contributing to this neuronal degeneration include mitochondrial dysfunction, oxidative stress, and neuronal excitotoxicity. Despite extensive research, the exact etiology of PD remains unclear, with both genetic and environmental factors playing significant roles. Given the increasing prevalence of PD, particularly in aging populations, effective preventive and therapeutic strategies are urgently needed. Emerging research suggests that dietary interventions might offer promising approaches to managing PD progression. This literature review examines various dietary interventions that differ in their composition and mechanisms of action, including the Mediterranean, vegan, carnivore, paleo, and ketogenic diets, and their potential neuroprotective effects. By evaluating the current evidence, this review aims to identify dietary strategies that may improve the quality of life for individuals with PD. Additionally, it explores the underlying mechanisms through which diet may influence PD pathophysiology, thus providing insights into how nutritional modifications can be integrated into holistic management plans for the disease.
The Identities That Reveal Emotions
Authors: Monteagudo Diego García , Albert Clara Vañó
Published: January 2025

When geographic space is taught in Early Childhood Education, proper consideration should be given to the subjectivity of the concept itself, which is due to its different epistemological foundations. From the age of four, children start developing a sense of belonging and construction of identities linked to an understanding of geographic spaces and critical-thinking abilities (affective, conceptual, and interpretative). This study was developed as a pedagogical proposal with five-year-old students from a public school in the Valencian town of Benigànim (Spain) in the last quarter of the 2020-21 academic year. The teaching methods incorporated geographic literacy concepts and competences. The twelve activities included work with maps and with geography-related vocabulary, ranging from local geographic spaces to a more complex vision of global reality.
Preparing Children for the Future With Environmental Education
Authors: Yıldırım Bedia
Published: January 2025

The natural environment, which has been damaged by human interventions, was initially able to tolerate human-induced negative impacts, but over time this destruction has reached the dimension of environmental disaster. Although steps were taken to address environmental problems from time to time, the measures taken were not sufficient and environmental problems continued to increase. Considering that the easiest, permanent and economical way to solve problems is through education, education should be given importance in the fight against environmental problems. The prerequisite for a livable environment is to raise an environmentally sensitive generation. The first target should therefore be the critically important early childhood period. In order to invest in our future, it is necessary to increase children's contact with nature, to ensure that they love and protect nature, and to develop their attitudes and skills to contribute to nature. So what are the duties of families and educators in this regard, what can we do for a more ecological, sustainable and livable environment?
Learning on the Move
Authors: Honrubia-Montesinos Cristina , Macías Laura Moreno , Sánchez Paula Tarancón
Published: January 2025

Didactic itineraries serve as a valuable tool for teaching Social Sciences, particularly Geography. Therefore, a tour has been organized through the streets so that first-year students can learn about transportation systems and basic road safety rules. Thanks to the experience that provide this project, the benefits of didactic itineraries has been highlighted, as students acquire meaningful learning through them by directly engaging with their surroundings and classmates, which they find more engaging and motivating compared to traditional classroom lectures. Due to this, these itineraries are an ideal resource to incorporate into educational programs.
Social Sustainability Audits and Certifications
Authors: Selvakumar P.
Published: January 2025

Social sustainability has emerged as a critical aspect of corporate responsibility, focusing on the social dimensions of sustainability within organizations and their broader impacts on communities and societies. It encompasses a range of issues, including labor rights, community engagement, diversity and inclusion, and overall social equity. As stakeholders increasingly demand accountability and transparency, businesses are turning to social sustainability audits and certifications as essential tools to evaluate, measure, and improve their social impact. Social sustainability audits are systematic evaluations of an organization's policies, practices, and impacts related to social dimensions. These audits involve a comprehensive review of various factors, including workforce treatment, community relations, supply chain management, and adherence to human rights standards. By conducting a social sustainability audit, organizations can gain valuable insights into their current practices, enabling them to understand the effectiveness of their social policies.
Lessons from the agrochemical ban: sustainable solutions to the adverse effects of intensive farming and their economic impact in rebuilding the nation
Authors: Sivaramanan S. , Kotagama S. W.
Published: January 2025

This study based on literature survey, aims to find (valid) reasons for the negative consequences of the agrochemical ban in Sri Lanka. Intensive farming is one of the major environmental problems. To surmount the negative consequences of the agrochemicals, sustainable solutions such as agrochemical ban could be implemented. Yet, sustainable solutions are relatively expensive due to their high energy requirements. Thus, even affluent nations hardly go for such decisions. In contrast, regenerative solutions are wise, adaptable, high resilient, and relatively cheaper. A study claims that if Sri Lanka could have implemented regenerative methods such as holistic farm management and agroforestry without banning agrochemicals (a sustainable solution), in May 2021, contribution to the economic crisis of 2022 could have been avoided because, as an agriculture nation, its economy considerably depends on agriculture exports such as tea and rubber. The declined yield due to shifting to organic farming resulted into an inflation, which made the country unaffordable to the importation of fuel, medicines, food items, and other essential items, which subsequently ended up in a catastrophic public unrest and political transformation. However, restorative solutions are a step ahead of sustainable solutions, where more positive changes occur in nature under human maintenance, e.g., introducing ducks (as practiced in Thailand) and fishes and crabs (as practiced in China) into the fields as biological control agents, using natural Neem-based pesticides and using seaweeds as the organic replacement for the inorganic fertilizer. Reconciliatory solutions are cultural practices that bring positive changes to the nature, the main difference between restorative and reconciliatory solution is, in reconciliatory solution human being is considered as equal component within nature (as co-participant and co-creator with nature), but, in the restorative systems humans are like managers of the system (not co-participants), who monitor and handle the system. For instance, forest restoration is a restorative system that requires frequent maintenance and monitoring such as nurturing the new saplings (e.g. fencing the saplings), and this administrative role of humans is replaced by co-participation along with nature in the reconciliatory model. To further illustrate,  carbon farming, biological nitrogen fixing (e.g., Azolla sp.) and bioremediation via floating wetlands could provide restorative solutions for the agrochemical pollution while traditional practices such as introducing ducks, fishes and crabs into the field as biological pest control agents, using sea weed mulching as an alternative for chemical fertilizers and using Neem based pesticides as an alternative for chemical pesticides give reconciliatory solutions to the crisis, humans are equal participants within the system.
Characterization of Dickeya fangzhongdai KPJ 1, the causative agent of soft rot of Aglaonema ‘MARIA’ and its biological control
Authors: Subhashini M. H. A. D. , Nanayakkara C. M. , Senanayake D. M. J. B. , Piyathissa D. D. E. , Athukorala I. R. T.
Published: January 2025

Aglaonema ‘Maria’ is a popular indoor plant, which is vulnerable to soft rot, a bacterial disease that causes serious losses in nurseries and is a major barrier in producing export-quality planting materials. Biocontrol agents are the best eco-sustainable alternatives for agrochemicals in managing plant diseases. This study was focused on isolating the causative agent of soft–rot disease of Aglaonema ‘Maria’ and evaluating the biocontrol potency of Bacillus velezensis strain DCJ 2 (DCJ 2) in situ under different delivery methods. The causative bacterium isolated from infected Aglaonema ‘Maria’ plants, coded as KPJ 1 was subjected to morphological, and biochemical, molecular and physiological characterization. The tests were performed in duplicate, indicating that the bacterium was positive for all of the tests that should be positive, except the oxidase test, which should be negative. The bacterium was tested to be gram-negative. Molecular characterization revealed that the KPJ 1 is Dickeya fangzhongdai. A pot experiment with healthy plants of Aglaonema ‘Maria’ was carried out to evaluate the biocontrol potency of DCJ 2 on KPJ 1 using a Completely Randomized Design with eight treatments and six replications.  T1 and T2 represented untreated controls whereas the plants inoculated with only the pathogen (KPJ 1) considered as the negative controls [T3 (drench) and T4 (foliar spray) ].  T5 and T6 represented the plants treated sequentially with KPJ 1 and DCJ as a soil drench. Similarly, foliar spray was performed in the T7 and T8. The data were analyzed using SAS software (version 9). Among both inoculum application protocols T5 and T6 (soil drench) showed the lowest disease severity (p=0.05).  In conclusion, the antagonistic bacterium DCJ 2 demonstrated potent activity against soft-rot disease in Aglaonema caused by D. fangzhongdai which could be effectively used as an eco-friendly biological control agent in Aglaonema  nurseries.
Evaluation of morphological variations in fifteen traditional yard long bean (Vigna unguiculata L.) accessions in Sri Lanka under organic conditions
Authors: Zamha M. B. F. , Shyamalee H. A. P. A. , Ranawake A. L.
Published: January 2025

The yard long bean, belonging to the family Fabaceae, holds significant popularity as a vegetable crop in Sri Lanka. Several indigenous yard long bean accessions are available in Sri Lanka, and assessing their morphological variability plays a vital role in utilizing the germplasm effectively for future breeding programs. The study focused on characterizing fifteen traditional yard long bean accessions gathered from various locations in Sri Lanka using four qualitative and nine quantitative traits. The study was conducted without using inorganic fertilizer and chemical pesticides. The morphological variation among the accessions was effectively assessed using Principal component analysis (PCA), cluster analysis, 2D scatter plot, and hierarchical dendrogram. Three principal components derived from the nine traits and scored more than one Eigenvalues cumulatively explained 79.31% of the total variance. Pod weight, pod diameter, and pod length contributed to principal component one (PC1), which explained 38.68% of the variance. Cluster analysis identified five morphologically distinct clusters at cluster distance of five. Cluster II comprised the accessions TJ-Rathu and TJ-150 that had the highest mean number of pods per plant, and pod yield (7.84 g and 283.37 g, respectively) at the first three consecutive harvests. TJ-150 recorded the highest pod yield per plant (289.8 g). Pearson's correlation analysis indicated that the number of pods per plant, correlated with the pod yield at 0.05 significance level. The qualitative and quantitative characteristics are expected to be valuable for future breeding programs, facilitating the improvement of yard long beans.