bluuebunny/crossref_metadata_2025_split huggingface dataset:
COMMUNITY-BASED IRRIGATION MANAGEMENT AND THE ROLES OF WATER USE ASSOCIATION IN CEPU DISTRICT, BLORA REGENCY, INDONESIA
Authors: Maulida Yuhan Farah , Wati Ratih Ineke , Satriyo Tony Budi , Ahmad Yudhan Faishal 
Published: November 2023

The research aims to examine the roles of water use association in Cepu District and their contribution to the development of small-scale water resource management. Descriptive analysis was conducted to draw conclusions from the observed phenomena, where the data was collected and analysed using quantitative and qualitative techniques. The results show that there are three patterns of water resource management in Cepu, namely the surface irrigation, groundwater-use and rainwater-use which also indicate the variation of the irrigation governance in the communities. Water Use Association can promote farmers to increase farming index up to four times per year (two times for paddy and one up to two times for horticulture products), facilitate farmers managing water through primary, secondary and tertiary irrigation canal, facilitate farmers to propose fundings for procurements or maintenances of irrigation infrastructures, provide platform for producing norms and governance for joint irrigation management for better income while information exchange can appear within WUA members, and promote mutual assistance. The study concludes that collective management through social groups, Water Use Association, have positive impact for the members.
Transparência e Legibilidade dos Demonstrativos Contábeis do Governo do Estado do Ceará em tempos de Pandemia da Covid-19
Authors: Holanda Banhos Alberto Sérgio , Arbues Decoster Sonia Rosa 
Published: November 2023

O contexto de excepcionalidade gerado pelo estado de calamidade decorrente da pandemia de Covid-19 vem flexibilizar regras outrora intransponíveis, trazendo ao Estado o dever legal de agir de forma mais transparente e compreensível para evitar falhas no processo de despesa pública. Tendo como base a legislação estadual específica sobre transparência de dados neste período, o presente artigo tem como objetivo geral apresentar o atendimento do Governo do Estado do Ceará na divulgação das informações de acordo com a Lei Estadual n.º 17.257, de 03 de agosto de 2020, bem como analisar a legibilidade das Notas Explicativas do Balanço Geral e o Balanço Social do exercício de 2020 (Governo do Estado do Ceará, 2020). O estudo de caso traz um recorte nos critérios de controle dos gastos públicos no período de março de 2020 a março de 2021, avaliando o mecanismo utilizado descritiva e qualitativamente ao investigar o caso concreto da transparência atualmente no âmbito das informações apresentadas pelo Governo do Estado do Ceará, e ainda a aplicação de índices Flesch e Gunning - FOG adaptados para a língua portuguesa. Ao final, apontou-se algumas melhorias em nível de integração de sistemas, e concluiu-se por alcançar o grau de transparência, apresentando em 6 das 7 categorias atendimento total das informações especificadas, e compreensibilidade textual mediana.
ANÁLISE COMPARATIVA DE DESEMPENHO TÉRMICO ENTRE AS TÉCNICAS LIGHT STEEL FRAMING COM COBERTURA EM TELHA SHINGLE X BLOCO E TELHA CERÂMICAS
Authors: Soares Giulia Piazza Fernandes , Martinez Pedro Jose Perez 
Published: November 2023

A fim de difundir outras técnicas construtivas além dos clássicos blocos de concreto e telhas cerâmicas muito usados no Brasil, esse trabalho visa avaliar se o sistema construtivo Light Steel Framing (LSF) combinado com a Telha Shingle possui boa resposta térmica quando utilizada em construções com caráter residencial em zonas climáticas como Campinas-SP. Foi analisado o projeto de um sobrado para análise de desempenho térmico entre a técnicas construtivas secas (Light Steel Framing com Telha Shingle) e as úmidas sem função estrutural (Blocos de Concreto e telhas cerâmica), segundo norma de desempenho térmico NBR 15575/2013. Para tanto, modelou-se uma edificação com a extensão “Euclid” do Sketchup e utilizou-se o programa EnergyPlus a fim de considerar as propriedades dos materiais e analisá-los quanta temperatura operativa horária e indicador de graus-hora. Os resultados mostraram que o uso apenas de Paredes em Light Steel Framing não é suficientemente eficiente para as características climáticas de Campinas. Contudo, abre-se espaço para uma futura discussão sobre uma possível adaptação do formato mais conhecido para que este possa ser adotado mesmo em zonas climáticas como a de Campinas, juntamente com o uso da Telha Shingle que obteve bom resultado.
POLUIÇÃO LUMINOSA NOS ESPAÇOS URBANOS
Authors: Urbano Maria Cynthia de Araújo 
Published: November 2023

O objetivo do artigo levanta a questão dos excessos da iluminação elétrica nos espaços urbanos que deveriam ser direcionados a uma melhor visibilidade noturna, mas causam impactos negativos gerando preocupações à saúde humana, além de impactar no meio ambiente e sobretudo na visibilidade do céu. Os dispositivos de tecnologia Light-Emitting Diode (LED) tornaram-se as soluções mais sustentáveis e, por isso, o seu uso é cada vez mais presente nas intervenções de iluminação pública, no entanto, o excesso desta mesma tem efeito conhecido como poluição luminosa. O método se aplica em uma revisão teórica e exploratória dos tipos de poluição luminosa, sendo estes Brilho no céu, Luz intrusa e Ofuscamento e suas consequências devido ao excesso de iluminação elétrica e mal direcionamento sobre os espaços urbanos, ocasionando impactos negativos a saúde população e qualidade do meio ambiente. Como resultado, foram apresentados diferentes meios de minimizar o impacto da poluição luminosa com uma melhor utilização dos dispostos LED. No entanto, se torna complexo o tema quando o poder público exagera na iluminação elétrica pública em prol de uma melhor visibilidade noturna e em benefício à requalificação do espaço urbano. Por fim, a iluminação pública demonstrou o uso desmedido na utilização desta tecnologia, tornando-se um problema em relação ao excesso no mal planejamento de projeto em iluminação. Além disso, tem e requer grandes responsabilidades para evitar a poluição luminosa e em minimizar os impactos sociais, econômicos e ambientais.
IDENTIFIKASI HAMA DAN PENYAKIT TANAMAN JAGUNG DENGAN MENGGUNAKAN METODE KLASIFIKASI SUPPORT VECTOR MACHINE (SVM)
Authors: Khotimah Bain Khusnul , Setiawan Eko , Sasmeka Verdi , Fridayanti Aulya , Maulana Ikbar , Mifta Zulfida Arwinda 
Published: November 2023

<em>Produksi hasil panen tanaman Jagung di Madura dipengaruhi oleh adanya wabah Hama dan penyakit, sehingga menyebabkan produksi jagung menurun. Permasalahan tersebut salah satunya dapat diatasi dengan adanya mengidentifikasi awal gejala tanaman yang terserang hama dan penyakit dengan menggunakan klasifikasi machine learning. Penelitian ini menggunakan metode Support Vector Machine (SVM) untuk klasifikasi hama dan penyakit pada tanaman jagung. Sedangkan data yang digunakan berupa 200 data jenis kategori dengan 25 variabel pertanyaan, yang didiagnosa berupa penyakit, dan hama tanaman jagung. Metode ini menggunakan fungsi pemisah supaya lebih optimal ketika memisahkan jenis data dari dua kelas yang berbeda. SVM dapat mendeteksi jenis hama dan penyakit tanaman jagung dengan masukan gejala dari pengguna. Penelitian ini telah menghasilkan akurasi sistem yaitu perbedaan hasil perhitungan identifikasi dengan hasil perhitungan pada perbandingan data 60:40 dengan menggunakan perubahan parameter σ dan d, dengan memilih fungsi Kernel Gaussian Radial Basic telah menghasilkan akurasi klasifikasi senilai 94.29%.</em>
Signatures of Syndepositional Seismic Effects in Aeronian Marine Clastic Sediments in Western Gorny Altai
Authors: Sennikov N.V. 
Published: November 2023

Abstract
––The Aeronian clastic sediments in the Gorny Altai area bear signatures of past seismic effects (paleo-seismites). Sedimentary structures produced by brittle deformation (breccias) span the level of the upper convolutus graptolite zone and the lower sedgwicki zone. They coexist with soft-sediment deformation structures (SSDS), such as turbated and rolled layers, bumpy layer boundaries, etc. At the final deposition stage, the rocks were deformed during seismically-triggered landsliding and were shed into a submarine canyon, with formation of rolls (pseudo-conglomerate).
Research on fluid identification method under strong reflection shielding
Authors: Yang Wei , Xiao Fucheng , Yuan Jingyi , Sun Chong , Zhu Shijun 
Published: November 2023

Abstract
This study aims to develop a framework to overcome the geophysical challenge that it is difficult to identify the fracture-cavity reservoir shielded under strong reflection interface, with the prominent advantages of empirical mode decomposition (EMD) method in processing nonlinear and non-stationary signals. First, to avoid the “mode aliasing” problem in the decomposition process, the fast ensemble empirical mode decomposition (FEEMD) is employed to decompose seismic information“”. Then, the local linear embedding algorithm (LLE) is applied to remove the strong reflection background in each component retaining the feature of original data and extract useful signals that finally reconstruct the optimized signals. Based on the aforementioned procedure, FEEMD-LLE method is used to analyze the spectrum and fluidity attributes along the layer under the strong reflection interface. The results indicate that FEEMD-LLE method is effective in fluid identification and prediction, while removing the shielding effect of strong reflection on fracture-cavity reservoir and maintaining the fidelity and amplitude preservation of seismic signals. Empirically, the seismic data of a study area in Tahe oilfield is used as the fluid detection object, and the detection results successfully predict the fluid shielded by the strong reflection, which is consistent with the actual drilling interpretation results, verifying the application advantage of the method in this paper to remove the strong reflection background.
Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials
Authors: Zaverkin Viktor , Holzmüller David , Christiansen Henrik , Errica Federico , Alesiani Francesco , Takamoto Makoto , Niepert Mathias , Kästner Johannes 
Published: November 2023

Abstract

Efficiently creating a concise but comprehensive data set for training machine-learned interatomic potentials (MLIPs) is an under-explored problem. Active learning (AL), which uses either biased or unbiased molecular dynamics (MD) simulations to generate candidate pools, aims to address this objective. Existing biased and unbiased MD simulations, however, are prone to miss either rare events or extrapolative regions—areas of the configurational space where unreliable predictions are made. Simultaneously exploring both regions is necessary for developing uniformly accurate MLIPs. In this work, we demonstrate that MD simulations, when biased by the MLIP’s energy uncertainty, effectively capture extrapolative regions and rare events without the need to know a priori the system’s transition temperatures and pressures. Exploiting automatic differentiation, we enhance bias-forces-driven MD simulations by introducing the concept of bias stress. We also employ calibrated ensemble-free uncertainties derived from sketched gradient features to yield MLIPs with similar or better accuracy than ensemble-based uncertainty methods at a lower computational cost. We use the proposed uncertainty-driven AL approach to develop MLIPs for two benchmark systems: alanine dipeptide and MIL-53(Al). Compared to MLIPs trained with conventional MD simulations, MLIPs trained with the proposed data-generation method more accurately represent the relevant configurational space for both atomic systems.
Capability Review of X.509v3 with Link Maximum Transmission Unit in Public Key Infrastructure
Authors: Abhishek Kunal 
Published: November 2023

Abstract
The X.509v3 is widely accepted digital certificate format proposed by the International Telecommunication Union (ITU) for Internet applications. The size of the X.509v3 certificate with its extensions has now grown up significantly in the range of 1518 bytes to 200 kilobytes which is much beyond the Maximum Transmission Unit (MTU) sizes of Internet Protocol (IP) based link-layer technologies. The large certificate size leads to poor network performance due to the limited link-layer MTU sizes that causes IP fragmentation and longer Round Trip Time (RTT). We present a comprehensive capability review of X.509v3 digital certificate in light of the link-layer MTU sizes. We also investigate if this certificate format is capable to integrate and process multi-kilobytes long post-quantum key and signature as well as if this certificate size can be reduced to merely few hundred bytes for use by the resource-constrained Internet of Things (IoT) devices to realize a Public Key Infrastructure (PKI) while keeping the network performance intact. In particular, we review the X.509v3 certificate transmission over the Ethernet and IPv6 over 6Low-power Wireless Personal Area Networks (6LoWPAN) networks with a focus on their link MTUs. We also present our recommendations to efficiently handle transmission of both large and small extreme sizes of the X.509v3 certificates over the link-layer MTUs of these technologies.
Research on Multi-source DC microgrid Distributed Group Control Strategy for Pumping Well Cluste
Authors: Yue Jixiang , Sun Zhenhua , Li Haoguang , Zhu Wenyu , Li Fengming , Wang Zhenjie 
Published: November 2023

Abstract
Due to the pumping units' dual role as alternating loads and new energy sources, multi-source DC microgrid pumping unit well clusters experience increased fluctuation in voltage and power as well as peak and valley values that are superimposed. This work presents a distributed cooperation strategy based on the grouping weighted moving average algorithm for pumping unit well groups in multi-source DC microgrid. Centralized control program is implanted in the RTU of the single well controller of each pumping unit, and the communication of each single well is realized by SCADA system to construct the distributed well group system. The real-time power values of the pumping well group are calculated by grouping the power values and granting weighted weights to each group, using the total power fluctuation threshold of the well group as the control target, and further using a weighted moving average algorithm to predict the next power value and form a table of predicted real-time power spectra. According to the power value in the community power spectrum table, the inverter frequency is proportionally adjusted downward to achieve the power peak before deceleration to reach; after crossing the power peak, the frequency is raised in the same way to accelerate the compensation to achieve the power valley before acceleration to reach, that is, acceleration compensation, and finally achieve the power peak and valley values of the bus system to level off, and further learn to reach the set impulse, and finally form a stable impulse. Through laboratory testing and field application in Shengli XIN-11 block application proved: the group control software module not only effectively suppresses the active power peak and valley values and voltage fluctuations of the bus system, the active power fluctuation rate range decreases by more than 70%, the DC bus voltage fluctuation range decreases by more than 80%, but also reduces active power by about 6% without increasing the cost of new hardware.
Patient-Specific Functional Liver Segments based on Centerline Classification of the Hepatic and Portal Veins
Authors: d'Albenzio Gabriella , Meng Ruoyan , Aghayan Davit , Pelanis Egidijus , Sakinis Tomas , Solberg Ole Vegard , Tangen Geir Arne , Kumar Rahul P. , Elle Ole Jakob , Edwin Bjørn , Palomar Rafael 
Published: November 2023

Abstract

Couinaud's liver segment classification has served as the standard basis for liver surgery planning for nearly seven decades. While providing a systematic framework by dividing the liver into eight segments, its reliance on fixed planar boundaries may not always align with individual liver anatomical variations. In this study, we propose a new method for classifying liver functional segments. By integrating patient-specific liver morphology, 3D vascular system, and user-defined landmarks, our approach offers greater flexibility in classifying the liver while respecting individual anatomical variations. We conducted a comprehensive assessment of our method, comparing it with two widely used liver classification techniques: conventional plane-based and portal vein-based classifications. Our results demonstrate that our method's flexibility extends beyond conventional software. By enabling the inclusion of both hepatic and portal veins, including peripheral branches, our approach deviates from the classical Couinaud classification. Importantly, our findings indicate that our approach not only overcomes the limitations of traditional methods but also provides a more precise and surgery-ready definition of liver segments, particularly in complex cases involving segments 5 and 8. Furthermore, feedback from liver surgery specialists highlights its potential benefits, including improved visualization in complex cases and better assessment of vascular perfusion territories.
tfQMRgpu: A GPU-accelerated linear solver with block-sparse complex result matrix
Authors: Baumeister Paul F , Nassyr Stepan 
Published: November 2023

Abstract
Linear solvers are a central component of many applications in physics and engineering. In this work we present a software package for simultaneously solving with multiple right-hand sides using the vast compute performance and memory bandwidth of graphical processors. Using the transpose-free quasi minimal residual method iterative linear solving does not require the implementation of an adjoint operator. This C++/CUDA software packet has two ways of being employed. The precompiled version of this library offers linear solving for single and double precision block-sparse complex matrices with interfaces to various programming languages, in particular C, Fortran, Python and Julia. Furthermore, the core algorithm is available for custom implementations of any linear operator as a C++ header-only library. We showcase a matrix-free approach of a custom operator for a finite-difference stencil application solving the three-dimensional Helmholtz equation and compare the performance of the matrix-free approach against the block-sparse matrix version, both on NVIDIA hardware.
MSC Classification: 15-04
How to predict the temperature of the CMB directly using the Hubble parameter and the Planck scale using the Stefan-Boltzman law
Authors: Haug Espen , Wojnow Stephane 
Published: November 2023

Abstract
Based on recent progress in quantum gravity and quantum cosmology we are presenting also a way to estimate the temperature in cosmos, the Hubble sphere, from a relation between the Planck temperature and the Hubble scale. Our analysize predict the Hubble sphere temperature of 2.72k with the one standard deviation confidence interval between 2.65k and 2.80k, which correspond well with the measured temperature observed from the cosmic microwave background (CMB) of about 2.72k. This add evidence to that there is a close connection between the Planck scale, gravity and the cosmological scales as anticipated by Eddington already in 1918.
ST-ASDNET: A BLSTM-FCN-Transformer basedASD Classification Model for Time-series fMRI
Authors: Deng Xin , Zhang Lianhua , Liu Rui , Chen Zhuofeng , Xiao Bin 
Published: November 2023

Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that causesrepetitive and stereotyped behavior and social dysfunction. Early diagnosis andintervention can improve the effectiveness of treatment. However, the currentdiagnostic methods of ASD still use the subjective symptom criteria of clinicalobservation, which is time-consuming and labor-intensive. In recent years, theemergence of functional magnetic resonance imaging (fMRI) neuroimaging techniques has facilitated the identification of potential biomarkers for the diagnosisof ASD. In this study, we developed a deep learning framework called Spatio-Temporal Autism Spectrum Disorder Network (ST-ASDNet) to distinguish ASDsfrom normal controls (NCs) as well as to distinguish ASD subtypes based onthe fMRI data. Specifically, two modules: 1) bidirectional long and short-termmemory Transformer (BLSTM-Transformer) and 2) full convolutional networkTransformer (FCN-Transformer) are proposed to obtain the spatial and the temporal characteristics of the fMRI data, respectively. Additionally, we explored theinfluence of different brain atlas for preprocessing the fMRI data to recognize theASDs. The study verifies that a more detailed division of brain regions is helpfulfor the recognition of ASDs. The proposed model is evaluated on the Craddock200 (CC200) atlas and the Automated Anatomical Labeling (AAL) atlas with the robust accuracy of 70.26% and 67.80%, respectively. The effect of the proposed model is competitive in diagnosing ASD compared with other methods,which could provide a useful and effective way to assist the clinical diagnosis.
Numerical investigation of the autothermal steam-air-blown gasification of a low-grade fuel in non-stationary regimes
Authors: Abaimov Nikolay , Ryzhkov Alexander , Alekseenko Sergey , Batmunkh Sereemter , Osipov Pavel 
Published: November 2023

Abstract

A numerical investigation of the initial stage of the non-stationary autothermal conversion of low-grade micronized coal with cold air and steam supplied separately to an entrained-flow setup with a capacity of 0.1 MW was carried out. The syngas composition CFD model and the nonlinear dynamics of temperature change over time were numerically validated. The CFD study showed that in partial gasification mode, the degree of carbon conversion in the setup was 24–26%, H2/CO = 0.29–0.43, which corresponds to work in the primary furnace mode. Increasing the H2/CO ratio by 1.5 times significantly reduces emissions of nitrogen oxides from the gasifier and the GTU combustion chamber. CFD simulation shows that the non-stationary conversion process generally proceeds in three stages, the localization of which depends on the input parameters and design parameters. The introduction of a weakly superheated axial steam jet creates asymmetric hydrodynamic, structural, chemical and temperature inhomogeneities in the second stage. The CFD calculations made it possible to determine the sensitivity of conversion rates for the setup’s operating parameters and design.