bluuebunny/crossref_metadata_2025_split huggingface dataset:
Augmenting Explainable Data-Driven Models in Energy Systems: A Python Framework for Feature Engineering
Authors: Wilfling Sandra 
Published: June 2024

AbstractData-driven modeling is an approach in energy systems modeling that has been gaining popularity. In data-driven modeling, machine learning methods such as linear regression, neural networks or decision-tree based methods are applied. While these methods do not require domain knowledge, they are sensitive to data quality. Therefore, improving data quality in a dataset is beneficial for creating machine learning-based models. The improvement of data quality can be implemented through preprocessing methods. A selected type of preprocessing is feature engineering, which focuses on evaluating and improving the quality of certain features inside the dataset. Feature engineering includes methods such as feature creation, feature expansion, or feature selection. In this work, a Python framework containing different feature engineering methods is presented. This framework contains different methods for feature creation, expansion and selection; in addition, methods for transforming or filtering data are implemented. The implementation of the framework is based on the Python libraryscikit-learn. The framework is demonstrated on a use case from energy demand prediction. A data-driven model is created including selected feature engineering methods. The results show an improvement in prediction accuracy through the engineered features.
Deploying Machine Learning in High Pressure Resin Transfer Molding and Part Post Processing: A Case Study
Authors: Steffens Jasper , Kühnast-Benedikt Robin , Leber Florian , Rosenberg Philipp , Henning Frank 
Published: June 2024

AbstractHigh pressure resin transfer molding (HP-RTM) is well suited to medium volume automated production of composites. The process complexities of HP-RTM however often make its application insular. Data is not carried forward along the production chain and process reliability is assessed as a unified indicator with minimal granular consideration of individual contributing factors. Cause and effect relationships spanning the process chain remain undetected. Predator (10/2020–09/2023) is an ongoing Eurostars project aiming to bridge this divide by developing an intelligent data processing system across the industrial process chain of composite production. The consortium has already developed an approach to acquire and transfer meaningful process related data from molding to post-processing of parts. The data collection merges RTM tooling, equipment sensors, structure-borne sound data and tool wear measurements during the milling process. Unique part identifiers allow traceability of production parameters for online quality assurance and data-based optimization across the process chain. The developed approach enables tool wear monitoring as well as tailored predictive maintenance and enhanced remote customer support in addition to a data-driven understanding of the production process.
Operators with a non-trivial closed invariant affine subspace
Authors: Bračič Janko 
Published: June 2024

AbstractWe are concerned with the question of the existence of an invariant proper affine subspace for an operator A on a complex Banach space. It turns out that the presence of the number 1 in the spectrum of A or in the spectrum of its adjoint operator $$A^*$$

A
∗

is crucial. For instance, an algebraic operator has an invariant proper affine subspace if and only if 1 is its eigenvalue. For an arbitrary operator A, we show that it has an invariant proper hyperplane if and only if 1 is an eigenvalue of $$A^*$$

A
∗

. If A is a power bounded operator, then every invariant proper affine subspace is contained in an invariant proper hyperplane, moreover, A has a non-trivial invariant cone.
Hidden secrets of the cancer genome: unlocking the impact of non-coding mutations in gene regulatory elements
Authors: Iñiguez-Muñoz Sandra , Llinàs-Arias Pere , Ensenyat-Mendez Miquel , Bedoya-López Andrés F. , Orozco Javier I. J. , Cortés Javier , Roy Ananya , Forsberg-Nilsson Karin , DiNome Maggie L. , Marzese Diego M. 
Published: June 2024

AbstractDiscoveries in the field of genomics have revealed that non-coding genomic regions are not merely "junk DNA", but rather comprise critical elements involved in gene expression. These gene regulatory elements (GREs) include enhancers, insulators, silencers, and gene promoters. Notably, new evidence shows how mutations within these regions substantially influence gene expression programs, especially in the context of cancer. Advances in high-throughput sequencing technologies have accelerated the identification of somatic and germline single nucleotide mutations in non-coding genomic regions. This review provides an overview of somatic and germline non-coding single nucleotide alterations affecting transcription factor binding sites in GREs, specifically involved in cancer biology. It also summarizes the technologies available for exploring GREs and the challenges associated with studying and characterizing non-coding single nucleotide mutations. Understanding the role of GRE alterations in cancer is essential for improving diagnostic and prognostic capabilities in the precision medicine era, leading to enhanced patient-centered clinical outcomes.
Short-term load forecasting method based on fuzzy optimization combined model of load feature recognition
Authors: Xie Yigong , Zhu Xinchun , Wu Yang , Liu Shuangquan , Lin Shengzhen , Xie Yuxing , Xie Min 
Published: June 2024

AbstractWith the continuous development of smart grid construction and the gradual improvement of power market operation mechanisms, the importance of power load forecasting is continually increasing. In this study, a short-term load prediction method based on the fuzzy optimization combined model of load feature recognition was designed to address the problems of weak generalization ability and poor prediction accuracy of the conventional feedforward neural network prediction model. First, the Douglas–Peucker algorithm and fuzzy optimization theory of load feature recognition were analyzed, and the combined prediction model was constructed. Second, data analysis and pre-processing were performed based on the actual historical load data of a certain area and the corresponding meteorological and calendar rule information data. Finally, a practical example was used to test and analyze the short-term load forecasting effect of the fuzzy optimization combined model. The calculation results proved that the presented fuzzy optimization combined model of load feature recognition outperformed the conventional model in terms of computational efficiency and specific performance; therefore, the proposed model supports further development of actual power load prediction.
Recognition of Seifert fibered spaces with boundary is in NP
Authors: Jackson Adele 
Published: June 2024

AbstractWe show that the decision problem of recognising whether a triangulated 3-manifold admits a Seifert fibered structure with non-empty boundary is in NP. We also show that the problem of deciding whether a given triangulated Seifert fibered space with non-empty boundary admits certain Seifert data is in $${{{\textbf {NP}}}{}}\cap \text {co-}{} {\textbf {NP}}$$

NP

∩
co-

NP

. We do this by proving that in any triangulation of a Seifert fibered space with boundary there is both a fundamental horizontal surface of small degree and a complete collection of normal vertical annuli whose total weight is bounded by an exponential in the square of the triangulation size.
Developing a prognostic model for skin melanoma based on the persistent tumor mutation burden and determining IL17REL as a therapeutic target
Authors: Xu Mingze , Ma Xinyi , Wang Yuchong , Yu Ziqin , Zheng Xiaoli , Dai Haiying , Xue Chunyu 
Published: June 2024

Abstract
Background
One popular and well-established marker for the immune checkpoint blockade (ICB) response is tumor mutation burden (TMB). Persistent TMB (pTMB), a subset of TMB, provides a better indicator to predict patient ICB therapy outcomes, as shown by some studies. Immune checkpoint drugs have significantly changed how melanoma is treated in recent years.

Methods
In this study, we integrated the TCGA-SKCM database and data of pTMB of TCGA from the paper that first mentioned pTMB and analyzed mutational and Immune characteristics associated with pTMB level in SKCM. Next, the predictive DEGs were identified the subgroups of pTMB by Cox regression and LASSO analyses to construct a pTMB-related signature. Finally, the expression and Biological functions of signature genes was detected, and further validated in vitro assay.

Results
In the current research, we explored the mutational and immunological features related to the level of TMB in cutaneous melanoma (CM). The high-pTMB subgroup exhibited an increasing incidence of gene changes and higher levels of immune cell infiltration. Subsequently, we established a pTMB-related signature based on the predictive DEGs and found the biological features and immune-associated variables between two distinct risk groups. Lastly, the results of the clinical sample validation demonstrated that the expression of IL17REL was down-regulated in the collected samples of individuals with CM. The in vitro assay results indicated that IL17REL effectively suppressed the proliferation, clonality, and migration of CM cells.

Conclusion
In conclusion, we have developed a prediction model associated with TMB and subsequently validated the potential influence of IL17REL on Overall Survival (OS) in patients diagnosed with melanoma.
Unregulated introduced fish (Perca fluviatilis Linnaeus, 1758) is host to zoonotic parasites in a small Mediterranean island
Authors: Esposito Anaïs , Denys Gaël P. J. , Haÿ Vincent , Agostini Paul-Jean , Foata Joséphine , Quilichini Yann 
Published: June 2024

AbstractIntroduced species have a major impact on freshwater ecosystems, particularly on islands. Numerous fish species have been introduced in Corsica (Mediterranean island, southern France) as part of planned programs or clandestinely. The introduction of non-native freshwater fish species can have a range of impacts on the recipient ecosystem, including through the co-introduction of its pathogens. A sample of introduced perch Perca fluviatilis Linnaeus, 1758 from the artificial reservoir of Padula was examined following a report of parasites by an angler. The analyses revealed the occurrence of Eustrongylides sp. (Nematoda) and Clinostomum complanatum (Digenea), two zoonotic parasites in P. fluviatilis. Both parasites are reported for the first time in France. Eustrongylides sp. and C. complanatum may have been introduced with their fish intermediate hosts or through their final bird hosts. The occurrence of the two parasites raises concerns from both a veterinary and human health perspective as they can use a wide range of amphibians as intermediate hosts and can be acquired in humans through the consumption of raw or undercooked fish.
Impact of pancreatic ductal occlusion on postoperative outcomes in pancreatic head cancer patients undergoing neoadjuvant therapy
Authors: Hidaka Yoshifumi , Tanoue Shiroh , Ayukawa Takuro , Takumi Koji , Noguchi Hirotsugu , Higashi Michiyo , Idichi Tetsuya , Kawasaki Yota , Kurahara Hiroshi , Mataki Yuko , Ohtsuka Takao , Koriyama Chihaya 
Published: June 2024

Abstract
Background
Pancreatic ductal occlusion can accompany pancreatic head cancer, leading to pancreatic exocrine insufficiency (PEI) and adverse effects on nutritional status and postoperative outcomes. We investigated its impact on nutritional status, body composition, and postoperative outcomes in patients with pancreatic head cancer undergoing neoadjuvant therapy (NAT).

Methods
We analyzed 136 patients with pancreatic head cancer who underwent NAT prior to intended pancreaticoduodenectomy (PD) between 2015 and 2022. Nutritional and anthropometric indices (body mass index [BMI], albumin, prognostic nutritional index [PNI], Glasgow prognostic score, psoas muscle index, subcutaneous adipose tissue index [SATI], and visceral adipose tissue index) and postoperative outcomes were compared between the occlusion (n = 78) and non-occlusion (n = 58) groups, in which 61 and 44 patients, respectively, ultimately underwent PD.

Results
The occlusion group showed significantly lower post-NAT BMI, PNI, and SATI (p = 0.011, 0.005, and 0.015, respectively) in the PD cohort. The occlusion group showed significantly larger main pancreatic duct, smaller pancreatic parenchyma, and greater duct–parenchymal ratio (p < 0.001), and these morphological parameters significantly correlating with post-NAT nutritional and anthropometric indices. Postoperative 3-year survival and recurrence-free survival (RFS) rates were significantly poorer (p = 0.004 and 0.013) with pancreatic ductal occlusion, also identified as an independent postoperative risk factor for overall survival (hazard ratio [HR]: 2.31, 95% confidence interval [CI] 1.08–4.94, p = 0.030) and RFS (HR: 2.03, 95% CI 1.10–3.72, p = 0.023), in multivariate analysis.

Conclusions
Pancreatic ductal occlusion may be linked to poorer postoperative outcomes due to PEI-related malnutrition.
Welche Entscheidungs- und Beurteilungshilfen können Notfallsanitäter:innen beim prähospitalen geriatrischen Einsatz unterstützen?
Authors: Elsenbast Christian , Brandt Heike , Rauscher Maria , Dahlmann Philipp 
Published: June 2024

Zusammenfassung
Hintergrund
Notfallsanitäter:innen, Fachkrankenpfleger:innen für Notfallpflege und Notärzt:innen müssen sich ständig auf neue Herausforderungen im täglichen Versorgungsgeschehen einstellen. Dabei kann die Ersteinschätzung von älteren Patient:innen aufgrund von Kommunikationsbarrieren, limitierten diagnostischen Möglichkeiten und verfügbaren Informationen bei Polypharmazie und Multimorbidität von Herausforderungen geprägt sein.

Ziel der Arbeit
Mit dieser Arbeit sollen praxisnahe Anregungen zur Beurteilung von geriatrischen Patient:innen im Rettungsdienst gegeben werden.

Ergebnisse
Geriatrische Symptome sind vielfältig. Das Delir ist eine häufige und teils schwerwiegende Bedrohung, die Fallstricke in der Einschätzung generiert. Die Akronyme „KEIM“ (kardiale Ereignisse, Elektrolytentgleisung, Infektion, Medikamente) und „GEMS“ (geriatrischer Patient, Eindrücke der Umgebung, medizinische Beurteilung, soziale Beurteilung) sind als Hilfsbuchstaben in der Ersteinschätzung geriatrischer Patient:innen zu verstehen. Mit dem ISAR-Screening und weiteren Screeninginstrumenten, wie dem 4A-, 6CIT- oder O3DY-Test, stehen spezifische Hilfsmittel zur Risikoeinschätzung zur Verfügung.

Diskussion
„KEIM“, „GEMS“ und ISAR-Screening, als Erweiterung von X‑ABCDE, sind auch außerklinisch bei der Einschätzung geriatrischer Patient:innen hilfreich und sollten bedarfsgerecht durch den 4A-Test zum Delirscreening ergänzt werden. Diese Aspekte sind in der Aus- und Weiterbildung der versorgenden Berufsgruppen zu adressieren. Assessment- und Screeninginstrumente digital während des Einsatzes nutzen zu können, ist wünschenswert.
Distribution of natural radioactivity in different geological formations and their environmental risk assessment in Malaysia
Authors: Seow Sheng Qin , Mohan Viswanathan Prasanna , Dodge-Wan Dominique 
Published: June 2024

AbstractLabuan, Miri, Kundasang and Raub regions of Malaysia have very different geological formations and settings that could result in different levels of natural radioactivity. Hence, this study determines the influence of different geological formations on radioactivity in these locations using field measurements, petrology and geochemistry. A total of 141 gamma dose rates and 227 beta flux measurements were collected using Polimaster survey meters (PM1405) in these four regions. The gamma dose rate values range from 0.37 to 0.05 µSv/h with a mean value of 0.11 µSv/h. Beta flux values range from 3.46 to 0.12 CPS with a mean value of 0.57 CPS. Mineralogy and elemental composition of the different rock types were analysed using thin-section petrography, XRD, ICP and pXRF methods. Felsic igneous rocks such as syenite and granite have higher natural radioactivity and contain more radionuclide-bearing minerals such as apatite, zircon, allanite, K-feldspar, titanite, muscovite and biotite. Metamorphic rocks have the second highest natural radioactivity and contain fewer radioactive minerals. The natural radioactivity of sedimentary rocks mostly depends on their clay content. The gamma dose rate maps show that igneous and metamorphic regions around Raub have higher radioactivity compared to the sedimentary-dominated regions around Miri and Labuan. Annual effective dose (AED) and excess lifetime cancer risk (ELCR) were calculated to evaluate the potential health risk for inhabitants of these regions. Labuan and Miri are considered to be safe zones with respect to natural radioactivity as the results show little to no risk for the public, compared with the Raub region, which is medium to high risk.
Enhanced passivation of thallium, vanadium and arsenic in contaminated soils: critical role of Fe–Mn-biochar
Authors: Deng Pengyuan , Yuan Wenhuan , Wang Jin , Li Liangzhong , Zhou Yuchen , Beiyuan Jingzi , Xu Haofan , Jiang Shunlong , Tan Zicong , Gao Yurong , Chen Diyun , Liu Juan 
Published: June 2024

AbstractThallium (Tl), vanadium (V) and arsenic (As) are considered as typical toxic elements of increased interest. Their accumulation in soils can pose a substantial health threat to human beings. In this study, Fe–Mn modified biochar (FMBC) was chemically constructed to immobilize Tl, V and As in contaminated soils. The results showed that compared with pristine biochar (BC), FMBC can achieve significantly higher passivation effects for the studied contaminated soils, which reduced the bioavailable Tl, V and As contents by 83.9%, 71.09% and 71.92%, respectively. The passivation of Tl, As, and V via FMBC application was partially attributed to a notable increase in pH, which enhances the availability of adsorptive sites. Further, the newly formed minerals, including cancrinite, gibbsite and Fe–Mn (hydr)oxides, serve as additional adsorbents, substantially reducing the mobility of Tl, V and As. Additionally, the oxidation of Tl(I) to Tl(III) by the Fe–Mn (hydr)oxide of FMBC significantly enhanced Tl immobilization, consequently diminishing its bioavailability. The findings suggest that significant environmental threats could be alleviated through the potential application of FMBC in treating Tl-As-V dominated contamination in soils, providing a new perspective for the sustainable utilization of industrially polluted soils.
Graphical Abstract
Sustainability in the arctic: a bibliometric analysis
Authors: Ahmed Fatma , Zapata Oscar , Poelzer Greg 
Published: June 2024

AbstractThis paper examines the literature on the Sustainability in the Arctic region, using a bibliometric analysis of 213 English-language articles published between 1980 and 2022 exploiting Bibliometrix, an R package. To find relevant literature using the Web of Science (WOS) database, we searched for documents using mesh terms based on the query of two terms, “Arctic & Sustainability”. We used the Boolean operator “AND” to combine the two terms and the Boolean operator “OR” to include synonyms of the terms. The articles retrieved were authored by 724 researchers, published in 98 journals, representing 132 countries, and growing at 5.08% annually. The findings reveal that a substantial portion of the Arctic sustainability literature placed significant emphasis on the examination of climate change, adaptation, and vulnerabilities affecting local communities. Furthermore, the more recent publications in this field concentrate predominantly on exploring perceptions and governance.
Solving Nonlinear Wave Equations Based on Barycentric Lagrange Interpolation
Authors: Yuan Hongwang , Wang Xiyin , Li Jin 
Published: June 2024

Abstract
In this paper, we deeply study the high-precision barycentric Lagrange interpolation collocation method to solve nonlinear wave equations. Firstly, we introduce the barycentric Lagrange interpolation and provide the differential matrix. Secondly, we construct a direct linearization iteration scheme to solve nonlinear wave equations. Once again, we use the barycentric Lagrange interpolation to approximate the (2+1) dimensional nonlinear wave equations and (3+1) dimensional nonlinear wave equations, and describe the matrix format for direct linearization iteration of the nonlinear wave equations. Finally, the comparative experiments show that the barycentric Lagrange interpolation collocation method for solving nonlinear wave equations have higher calculation accuracy and convergence rate.
A Flow‐Curvature‐Based Model for Channel Meandering in Tidal Marshes
Authors: Mariotti Giulio , Finotello Alvise 
Published: June 2024

AbstractChannel meandering is ubiquitous in tidal marshes, yet it is either omitted or weakly implemented in morphodynamic models. Here we propose a novel numerical method to simulate channel meandering in tidal marshes on a Cartesian grid. The method calculates a first‐order flow by considering the balance between pressure gradient and bed friction. To account for flow momentum shift toward meander outer banks, the flow is empirically modified. Unlike previous simplified methods that relied on the curvature of the bank, this modification is based on the curvature of the flow, making the model suitable for use in dendritic channel networks. The modified flow intrinsically accounts for the topographic steering effect, which tends to deflect the momentum toward the outer bank. As a result, the outer bank becomes steeper and erodes due to soil creep. Additionally, the outer bank experiences erosion proportional to the flow curvature. This mechanism parameterizes the direct erosion caused by flow impacting the bank through a proportionality coefficient, which modulates the rate of channel lateral migration. Deposition on the inner bank is automatically simulated by the model, triggered by reduced bed shear stress in that area. The model accurately reproduces channel lateral migration and sinuosity development, and associated processes such as meander cutoffs, channel piracies, and network reorganizations. The model provides an efficient tool for predicting marsh landscape evolution from decades to millennia, and will enable exploring how lateral migration and meandering of tidal channels affect marsh ecomorphodynamics, carbon and nutrient cycling, drainage efficiency, and pond dynamics.