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聚变科学与工程资源库

检索物理代码、实验数据、代理模型、工程几何、技术文档与验证资料,并核对来源、版本和使用条件。

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TokaMind托卡马克等离子体基础模型

UKAEA / IBM / STFC

基于MAST装置多模态时间序列训练的轻量级Transformer基础模型,可作为等离子体信号预测、迁移学习和多模态时序研究的预训练起点。

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QLKNN 7-11托卡马克湍流输运代理模型

Google DeepMind

面向托卡马克芯部湍流输运计算的神经网络代理模型,用于近似QuaLiKiz输出,快速预测离子与电子热通量、粒子通量及相关不稳定性指标。

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TGLFNN聚变等离子体输运代理模型族

UK Atomic Energy Authority

面向TGLF准线性湍流输运模拟的神经网络代理模型族,覆盖JET、STEP及多装置参数空间,并提供多种模型格式用于研究和集成建模。

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快离子ITG湍流稳定化代理模型

Google DeepMind

用于估计离子回旋共振加热产生的快离子对ITG湍流临界梯度影响,支持氢与氦-3快离子工况,并可与输运代理模型组合使用。

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KARHU边界区MHD稳定性代理模型

DigiFusion

面向理想剥离-气球模MHD稳定性分析的机器学习代理模型,用于近似MISHKA稳定性计算,并提供DIII-D、JET及跨装置模型权重。

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TokaMark等离子体诊断鲁棒性模型集

TokaMark Robustness Research Project

基于MAST托卡马克诊断数据训练的模型检查点集合,用于比较XGBoost、LSTM、Transformer和CNN在传感器缺失与信号异常条件下的预测表现。

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IMPLEMENTATION OF THE "JEMPUT SAMPAH TERIMA DUIT" (JUMPA MADU) WASTE COLLECTION APP TO PROMOTE CLEANLINESS IN LUBUK PAKAM SUBDISTRICT, DELI SERDANG REGENCY

Universitas Sumatra Utara

Waste management in Indonesia has become increasingly complex due to population growth, lifestyle changes, and inadequate source-based management. In response, the Deli Serdang Regency government introduced a digital innovation,  Jumpa Madu (Jemput Sampah Terima Duit), to enhance waste management efficiency through a technology-based system combined with economic incentives. This study aims to examine the implementation of the Jumpa Madu application in Lubuk Pakam District, focusing on community participation, implementation effectiveness, and the challenges encountered. A descriptive qualitative method with a case study approach was employed. Data were collected through observations, interviews, and documentation involving key stakeholders, including the Environmental Agency, the BERSERI central waste bank, and community users. The findings indicate that community participation is relatively high, particularly among active users who recognize the economic benefits of waste sorting. The application effectively facilitates waste collection scheduling and increases the economic value of segregated waste. However, several challenges persist, including limited digital literacy, constrained technical resources, and uneven access to information. This study concludes that Jumpa Madu represents a promising innovation in strengthening circular economy-based waste management at the local level. Its optimal implementation requires stronger cross-sector collaboration, continuous public education, and improved regulatory and digital infrastructure support.

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PID-GraphVAE: Physics-informed disentangled graph VAE for cascade-aware equation discovery

Zenodo

Official implementation of "From compression to discovery: representations whose structure reveals the governing equations".   PID-GraphVAE (physics-informed disentangled graph variational autoencoder) is a co-design of representation learning and sparse equation discovery: a graph VAE partitions its latent space into physics-anchored subspaces along a candidate energy-cascade hierarchy, a cascaded mutual-information objective preserves the cross-scale couplings, the inter-subspace topology is discovered from the latent dynamics, and a cascade-aware sparse identification distills closed-form reduced-order models.   This archive is the frozen snapshot accompanying the submission (release v1.0-submission). Active development continues at the GitHub repository linked below. The CFD datasets, trained model weights, latent trajectories, and identification records are deposited separately.

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Implementation of support vector machine on LVMDP panel with overheating protection system

Shipbuilding Institute of Polytechnic Surabaya

Electricity is a critical requirement in industrial operations, where the continuity and stability of power distribution directly affect safety and productivity. The low voltage main distribution panel (LVMDP) functions as the main node of electrical power distribution; however, conventional LVMDP systems generally lack intelligent protection mechanisms capable of detecting overheating-related fire hazards and initiating preventive action before failure occurs. This study proposes an intelligent monitoring and protection system for LVMDP panels that combines real-time multi-sensor monitoring, support vector machine (SVM) based hazard classification, and an automatic shutdown mechanism. The main contribution of this work lies in the integration of predictive thermal risk detection with autonomous protective action, enabling the system not only to monitor panel conditions but also to respond immediately to hazardous states before they escalate into fire incidents. SVM was selected because of its strong capability to classify complex and nonlinear patterns from sensor data with high reliability. The developed system continuously evaluates panel conditions and triggers autoshutdown when an overheating risk is identified, thereby improving preventive protection compared with conventional alarm-based monitoring systems. Experimental results show that the sensor measurements achieved error rates mostly below 5% compared with calibrated instruments, indicating good accuracy. In addition, the SVM model obtained an overall accuracy of 93%, with a macro-average F1-score of 92% and a weightedaverage F1-score of 93%. These results demonstrate that the proposed system is effective for early detection and active protection of LVMDP panels against overheating hazards.

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Data and Code for: Forward-Only Temporal-Coherence Occupancy Regimes in Atlantic Tropical Cyclone Intensity Evolution (1851–2024)

PTEM Labs

# Version 4.0 record description This package reproduces the corrected V2 analysis for “Forward-Only Temporal-Coherence Occupancy Regimes in Atlantic Tropical Cyclone Intensity Evolution (1851–2024).” The algebraic reduction from pairwise agreement to a common-sign representation was numerically neutral when applied to unchanged historical state semantics. Two subsequent activation corrections were material: no active label or occupancy is assigned to the first coherent advisory, and confirmation requires the same nonzero direction at consecutive advisories, so reversal resets confirmation. The 54,174-row public materialization and portable code regenerate the V2 detector, RI labels, descriptive stratification, five-advisory comparator, signed timing, separate null-family summaries, duration models, and all current manuscript tables and figures. Results and claims were regenerated and narrowed. RI is a downstream outcome only. This package is descriptive and is not an operational forecast model or physical storm-structure retrieval. Version 3.2 is retained as historical lineage and is superseded for reproduction of the current manuscript. The exact environmental model matrix is not redistributed because explicit redistribution authority was not locally verified; the schema, formulas, hashes, and expected outputs are supplied.

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WORKLOAD AND BURNOUT AMONG HEALTHCARE WORKERS: THE ROLE OF WORK-FAMILY CONFLICT AS A MEDIATOR AND HUMAN RESOURCE MANAGEMENT RESOURCES AS BUFFERS: A SYSTEMATIC REVIEW

Universitas Tanjungpura

This systematic review examines the relationship between workload and burnout among healthcare workers, with work-family conflict (WFC) as a mediating mechanism and HRM resources as buffering factors. Following PRISMA guidelines, English-language studies published between 2015 and 2026 were screened, and 23 articles met the inclusion criteria. Of these, 21 reported a positive association between high workload and burnout, especially emotional exhaustion. Among 16 studies assessing WFC, 14 identified it as a mediator. Additionally, 18 studies found that organizational support, supportive leadership, family-friendly policies, adequate staffing, and positive work climates reduced burnout. Burnout thus reflects interacting work demands, family conflict, and organizational resources

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ANALYSIS OF THE EFFECTIVENESS OF RAILWAY SERVICE IN LAMPUNG ON THE TANJUNG KARANG STATION – KOTABUMI STATION ROUTE

Universitas Lampung

This study aims to analyze the effectiveness of railway services in Lampung on the Tanjung Karang–Kotabumi route from the users’ perspective using a quantitative survey-based approach. The research focuses on Rajabasa (economy class) and Kuala Stabas (premium class) train services. Data were collected through Likert-scale questionnaires and secondary sources using an  accidental simple random sampling  technique. The variables include traveler characteristics, travel characteristics, and transportation system facilities. Data validity and reliability were tested before being analyzed using the  Classification and Regression Tree (CART) method. The results indicate that service effectiveness is strongly influenced by the quality of interaction between staff and passengers as well as the condition of physical carriage facilities. Staff attributes emerge as the most dominant factor with the highest satisfaction scores, while management aspects remain the primary weakness. Differences in facility quality between premium and economy classes and accessibility issues in premium services were also identified. The CART model reveals that integrated operational and service quality is the key determinant, with staff attributes as the strongest predictor. The optimal model was obtained at a 1.5 threshold with high accuracy.

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Artificial Intelligence in service learning: A systematic mapping review and future research agenda for higher education

Zenodo

已收录公开题录与来源记录,正文内容及使用条件请通过原始发布页面核对。

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THE EFFECTIVENESS OF STUDENT-CENTERED LEARNING

Zenodo

Student-centered learning (SCL) is an educational approach that places learners at the center of the teaching and learning process. Unlike traditional teacher-centered instruction, student-centered learning emphasizes learners’ active participation, independence, collaboration, critical thinking, problem-solving, and responsibility for their own learning. This article examines the effectiveness of student-centered learning and its influence on students’ academic achievement, motivation, engagement, communication skills, and independent learning abilities. The study is based on an analysis of theoretical and empirical research conducted by scholars in the field of education. The literature demonstrates that student-centered approaches can create a more interactive and motivating learning environment and encourage students to take greater responsibility for their educational progress. However, successful implementation requires appropriate teacher preparation, effective classroom management, sufficient learning resources, and consideration of individual learner differences. The article concludes that student-centered learning can significantly contribute to the quality of education when it is systematically planned and appropriately adapted to learners’ needs.

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A METHODOLOGICAL FRAMEWORK FOR DEVELOPING STUDENTS' PROFESSIONAL ENGLISH SPEAKING SKILLS THROUGH DIGITAL EDUCATIONAL TECHNOLOGIES: THE CASE OF ECOLOGY EDUCATION

[Position], [Department], Namangan State University, Namangan, Uzbekistan

Graduates of ecology and environmental science programmes increasingly work in internationalised professional settings in which English is the working language of environmental impact assessment, transboundary water management, climate finance and scientific collaboration. Yet the oral component of their language preparation remains the weakest link: conventional English for Specific Purposes (ESP) instruction offers each learner only minutes of authentic speaking time, rehearses decontextualised topics rather than professional genres, and provides feedback that is delayed, impressionistic and rarely discipline-sensitive. This article develops, on theoretical grounds, a methodological framework for forming the professional English speaking skills of ecology students through digital educational technologies. Drawing on ESP needs-analysis theory, Content and Language Integrated Learning (CLIL), sociocultural and output-based accounts of second language development, and technology-integration models (SAMR, TPACK), the study proposes the Digitally Mediated Professional Speech Development (DMPSD) model. The model comprises four interlocking components — a genre-based content architecture, a three-tier taxonomy of digital tools differentiated by didactic function, a five-stage instructional cycle, and a multi-source assessment system anchored in CEFR mediation descriptors — governed by seven design principles. The article specifies nine professional oral genres for the ecology field, maps each to appropriate digital mediation, and analyses the conditions, risks and teacher-competence requirements of implementation. The framework is offered as a theoretically motivated design that is directly operationalisable in curricula and empirically testable; the limitations of a purely conceptual study and an agenda for experimental validation are set out in the conclusion.

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The Chronos Stability Coordinate x: Historical Provenance, Ratio-Share Reconciliation, and a Minimal Primitive Shell Closure

Zenodo

This working preprint consolidates the development of the Chronos stability quantity historically denoted by x or chi and clarifies how its mathematical meaning changed across earlier stages of the research program. Earlier Chronos work used the same notation for more than one type of quantity, including a direct active-to-restoring ratio and a bounded stability selector. This paper separates those roles explicitly. It reserves rho for the positive direct response ratio and x for the bounded normalized stability coordinate derived from that ratio. This resolves an important notation collision and shows why several earlier numerical values near 0.55128 should not be treated as identical versions of the same coordinate. The paper then develops a minimal four-phase shell construction. Four equally spaced phase channels are decomposed into one uniform mode and a three-dimensional nonuniform active sector. A canonical transition operator derived from the four-cycle supplies both the unit active-channel strength and the normalized active rank used in the reduced model. The four-phase symmetry also determines the equal phase allocation used in the overlap term. Combining this phase structure with the first nonzero spherical response produces a primitive connected stability response through the minimal quartic shell-action class. A self-consistency condition then selects a unique attracting fixed point for the bounded stability coordinate, giving a current value near 0.5512827409. The paper proves uniqueness and rapid convergence of this fixed point within the stated reduced selector model. The work also establishes a clear model boundary. Repeated return operations do not generate new reduced return classes, and the primitive selector closes through quartic order within the stated minimal dimension-four shell-action construction. However, more general higher-dimensional effective operators could introduce additional primitive terms, so the result is not presented as a universal theorem for every possible microscopic theory. A further section translates the shell result into the spectral and Wheeler-DeWitt language used elsewhere in the Chronos program. The algebraic translation is exact once the shell and spectral ratios are identified, but the physical identification between those two constructions remains a model bridge rather than an empirical result. The paper therefore serves both as a provenance record and as a mathematical consolidation. It preserves the earlier history of the Chronos stability quantity while establishing a stricter modern convention: rho denotes the direct response ratio, x denotes its bounded representation, and the present value of x is the selected root of the explicit minimal shell closure rather than a decimal retroactively imposed on earlier formulas.

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Twisted Shell Topology and Spectral Closure: An Eight-State Phase-Return Construction

Zenodo

This preprint develops a reduced geometric model in which a four-phase compact progression undergoes an orientation reversal after one complete traversal and returns to its full original state after a second traversal. The construction produces an eight-state phase-return orbit from four phase quadratures combined with two return orientations. Removing the uniform phase mode leaves a three-dimensional active sector, and projecting onto the return-restored sector produces a rank-three subspace within the eight-state shell. This gives a normalized active-shell fraction of three-eighths directly from the geometry rather than by fitting. The same three-dimensional active structure is represented through a tetrahedral tight frame and connected to the first nontrivial spherical harmonic sector. This sector has three active components and supplies a natural degree-one map on the sphere, giving a common geometric and spectral origin for several normalization factors used in later shell-based constructions. The paper also studies spectral selection on the twisted compact loop. Once the inactive periodic zero mode is excluded, the first twisted mode becomes the lowest admissible nonconstant branch and has one quarter of the quadratic gradient energy of the first nonzero periodic mode. This provides a spectral distinction between twisted and ordinary periodic closure within the reduced construction. A further result is the separation of distinct primitive closure classes. The paper shows that repeated powers of a single projector cannot generate all of the different coefficients appearing at different perturbative orders. The second-order return contribution and the fourth-order curvature contribution therefore represent distinct reduced structural classes rather than repeated copies of the same operation. The work is deliberately structural rather than phenomenological. It does not derive a measured coupling constant or claim that the reduced topology alone fixes a unique physical stability value. Instead, it establishes the finite-state architecture, projector structure, angular sector, topological degree, and spectral mode relations, while leaving the canonical observable bridge and continuous modulus as open problems for subsequent work.

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A new diagnostic method based on support vector machine for short circuit winding faults in induction motors

University of Souk Ahras

Inter-turn short circuits (ITSCs) in induction motor (IM) windings are among the most critical and frequent faults in industrial environments, as they can rapidly evolve into severe damage, leading to unplanned downtime and costly maintenance. To enhance the reliability of IMs, this paper proposes a machine learning–based diagnosis method dedicated to ITSC failures. The developed diagnostic tool combines a support vector machine (SVM) classifier with Fisher’s ratio (FR)-based feature selection. The proposed framework uses experimentally acquired current signals under healthy conditions and five ITSC fault severity levels (1%–5%), evaluated across four load conditions (25%, 50%, 75%, and 100%). Each signal is segmented into 200 non-overlapping segments (500 samples each), from which nine time-domain features are extracted to capture fault-related characteristics. These features are then used for training and testing a SVM classifier capable of distinguishing between healthy states and levels of severity of ITSC faults. To optimize the classification process, the FR algorithm is employed to select the most informative features while discarding those with low relevance. Our findings unveiled that the proposed hybrid FR-SVM-based diagnosis achieves high diagnostic accuracy ranging from 99.54% to 100%. Furthermore, the outcomes prove that the integrated technical framework (time-domain features + FR + SVM) provides zero false alarms and a balanced diagnostic system that combines computational speed with high precision.

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Blood Differential Count effects of Diplazium polypodioides Blume, Diplazium maximum (D.Don) C. Chris. and Stenochlaena palustris edible fiddlehead ferns from Northern Luzon Philippines on ICR mice (Mus musculus)

College of Medicine, Cagayan State University, Carig, Tuguegarao City, Cagayan, Philippines

Diplazium polypodiodes, Diplazium maximum locally called sarabat 1 and 2 respectively and Stenochlaena palustris or red-fern fiddlehead extracts were evaluated on blood cells of ICR mice. Thirty-two (32) twelve-week-old mice were divided into eight treatments with four per treatment along with positive and negative controls. Mice were fed daily for four weeks with regular food, water plus extracts in low dose (40mg/kg) and high dose (80mg/kg) of sarabat1, sarabat2, and red-fern. Blood was extracted by tail tipping on Day 0, 14, 28 and complete blood count (CBC) with platelets was analyzed. Hematocrit and red blood cells (RBC) was elevated in the positive control but not significantly different with fern extracts with a p-value of 0.119 and 0.208, respectively. White blood cells indicated the negative control and low dose fern extract with mean values of 11.75 and 13.07, respectively, were slightly higher but not significantly different with a p-value of 0.185. Effects on neutrophil and absolute lymphocyte counts follow the same trend with a p-value of 0.249 and 0.119, respectively. Platelet seems elevated in low dose sarabat 1 and 2 as well as low dose red fern but not significant with a 0.370 p-value. Comparison of pre and post-test treatments with extracts of Sarabat 1, 2 and red fern on blood counts at two dosages showed that  a mong the parameters tested, only WBC showed a highly significant (0.002) variation at post-treatment which seemed to indicate WBC stimulation which alerts us to caution, while the rest of the differentials are within safe reference parameter ranges. published by the International Journal of Biosciences | IJB  

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RISK ASSESSMENT OF FUEL OIL BUNKERING OPERATIONS USING AN INTEGRATED HIRARC–HAZOP FRAMEWORK: A CASE STUDY AT A MARINE JETTY TERMINAL

Universitas Negeri Malang

Integrated Terminal Makassar's fuel oil bunkering operations at Jetty 1 and Jetty 2 present significant, intertwined occupational and process hazards. This study analyzed these risks by integrating Hazard Identification, Risk Assessment, and Risk Control (HIRARC) with Hazard and Operability (HAZOP) studies, a novel approach for conventional fuel bunkering. HIRARC identified nine hazards across preparation, transfer, and completion stages, initially rated as low risk, subsequently reduced to low or very low via predominantly administrative controls. HAZOP analysis revealed deeper process deviations underlying these occupational hazards, including communication failures, excessive pressure and flow rates, hose integrity degradation, slippery deck conditions, and inadequate residual fuel handling during completion. The integrated HIRARC-HAZOP framework demonstrates that occupational risks directly correlate with process deviations, a connection often overlooked by single-method analyses. While existing controls are functional, three critical areas require reinforcement: formalizing pre-transfer communication checklists, establishing hose integrity documentation beyond visual inspection, and procedurally mandating the draining and disconnection sequence at operational completion. These refinements aim to enhance safety by moving beyond reliance on spontaneous compliance towards a robust, procedurally driven safety management system.

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THE MEDIATING ROLE OF RISK MANAGEMENT ON TECHNOLOGICAL UNDERSTANDING, FINANCIAL LITERACY, AND SME PERFORMANCE IN MEDAN

Universitas Sumatera Utara, Meda

This study examines the impact of technological understanding and financial literacy on Small and Medium Enterprise (SME) performance, with risk management practices as a mediating variable among SMEs in Medan. An explanatory sequential mixed-methods approach combining quantitative and qualitative methods was employed. The population comprised culinary SMEs registered with the Medan City Department of Cooperatives, SMEs, Industry, and Trade. Data were collected via questionnaires and in-depth interviews. Quantitative analysis used Structural Equation Modeling-Partial Least Square (SEM-PLS), while qualitative data utilized a thematic approach to strengthen quantitative results. The findings show that technological understanding and financial literacy both positively affect SME performance and risk management practices. Additionally, risk management practices positively influence SME performance and successfully mediate the effects of technological understanding and financial literacy on performance. These results indicate that SMEs' capability to comprehend technology and manage finances enhances business performance more effectively when supported by sound risk management. Ultimately, integrating technological understanding, financial literacy, and risk management serves as a strategic driver to boost SME competitiveness, resilience, and sustainability.

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PENGEMBANGAN VIDEO ANIMASI PEMBUATAN POLA DASAR DENGAN METODE DANCKAERTS UNTUK MATA KULIAH KONSTRUKSI POLA BUSANA

Pendidikan Ganesha

Penelitian ini memiliki tujuan untuk (1) mengembangkan media pembelajaran berupa video animasi pembuatan pola dasar metode Danckaerst pada mata kuliah Konstruksi Pola Busana serta (2) mengetahui kualitas media video animasi yang telah dikembangkan berdasarkan penilaian ahli materi, ahli media, dan uji coba kelompok kecil. Penelitian ini menggunakan metode penelitian dan pengembangan (Research and Development) dengan menggunakan model ADDIE (Analysis, Design, Development, Implementation, Evaluation). Penelitian ini menggunakan 2 orang ahli materi, dua orang ahli media, dan enam orang mahasiswa Prodi Pendidikan Kesejahteraan Keluarga, Kosentrasi Tata Busana sebagai subjek penelitian. Pengumpulan data dalam penelitian ini dilakukan dengan observasi dan penyebaran angket. Sedangkan teknik analisis data dalam penelitian ini menggunakan analisis deskriptif kuantitatif dan deskriptif kualitatif. Hasil penelitian ini menunjukkan bahwa (1) media pembelajaran video animasi pembuatan pola dasar metode Danckaerst berhasil dikembangkan melalui tahapan model ADDIE, sehingga menghasilkan media pembelajaran berupa video animasi yang dikemas dalam format MP4 dengan materi yang telah disesuaikan dengan tujuan dan   capaian pembelajaran mata kuliah Konstruksi Pola Busana. (2) Hasil uji kualitas produk melalui uji validitas oleh ahli materi, ahli media, dan uji coba kelompok kecil memperoleh persentase produk media pembelajaran video animasi pembuatan pola dasar metode Dankaerst sebesar 99,8% dari ahli materi, 98,8% dari ahli media, dan 94,4% dari uji coba kelompok kecil mahasiswa dengan kategori sangat baik. Berdasarkan hasil penelitian tersebut, media pembelajaran pembuatan pola dasar metode Danckaerst memiliki kualitas sangat baik sehingga media ini dapat digunakan dalam pembelajaran mata kuliah konstruksi pola busana untuk meningkatkan motivasi belajar dan mendukung proses pembelajaran secara mandiri.

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Barrier-Aware Merge Trees Reveal Ultrametric Organization in Nonlinear p-Spin Energy Landscapes: Code and Processed Data

Zenodo

This record contains the Python code, fixed random seeds, processed numerical results, validation tables, and publication figures accompanying the manuscript “Barrier-Aware Merge Trees Reveal Ultrametric Organization in Nonlinear p-Spin Energy Landscapes.” It includes results from 36 spherical  p=3  disorder realizations, matched spherical-null analyses, sampling-convergence and path-sensitivity tests, analytic geodesic validation, spherical-string calibration, a structure-preserving node-label permutation null, and processed metrics for the external Cambridge LJ13 transition-state-network benchmark. The raw Cambridge LJ13 archive is third-party material and is not redistributed in this record. Its official source and complete processing provenance are documented in the included THIRD_PARTY_DATA.md file.

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Bowman County hybrid geothermal-wind-solar power system model (MATLAB)

University of North Dakota

MATLAB model underlying a techno-economic assessment of low-enthalpy geothermal as firming capacity in a wind-dominant rural hybrid power system for Bowman County, North Dakota. The model sizes a wind, solar photovoltaic, geothermal ORC and battery portfolio against measured county demand, dispatches it hourly, and computes levelized cost, lifecycle emissions, a no-geothermal counterfactual and a cost-of-firmness frontier. Included are the sizing and dispatch routines, the ORC energy balance and its validation against a demonstration binary plant on the same resource, one-at-a-time sensitivity analysis, a seed ensemble, a geothermal outage-timing test, and a run across all 33 complete years of the station record. Resource inputs are transcribed from the North Dakota Agricultural Weather Network (NDAWN) Bowman station: 403 monthly observation records covering January 1993 to July 2026, and hourly series for 2023 including paired 3 m and 10 m wind measurements. NDAWN data are provided by North Dakota State University and are used here with attribution. Run main_bowman for the base case, or bowman_run_2023 for the measured hourly case.

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