bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physical activity in the prevention and management of inflammatory bowel disease: a systematic review
Authors: Protano Carmela , Gallè Francesca , Volpini Veronica , De Giorgi Andrea , Mazzeo Elisa , Ubaldi Francesca , Romano Spica Vincenzo , Vitali Matteo , Valeriani Federica 
Published: May 2024

Abstract
Aim
This study aimed to assess the potential role of physical activity (PA) in reducing the risk of developing inflammatory bowel diseases (IBDs) and in their management.

Subject and methods
A systematic review of literature was conducted up to October 2023 using the PubMed, Scopus, Web of Science and Cochrane Library databases. Observational studies, semi-experimental and experimental studies reporting PA effects were considered eligible. Data on disease status and PA characteristics, main outcomes and possible confounders were collected in a database. The Newcastle–Ottawa Quality Assessment Scale was used to assess risk of bias.

Results
Of the 29 articles included, six investigated PA and risk of IBDs and four of them showed an inverse relationship. Among the others, seven reported positive effects of PA on IBD symptoms, while all showed improvements in comorbidities, complications and quality of life.

Conclusion
PA seems to be effective in preventing or treating IBDs and their complications. Owing to the low quality of the majority of the studies and their heterogeneity, further research is needed to better understand which type and level of PA may be useful in the prevention and treatment of these diseases.
Japanese tort-case dataset for rationale-supported legal judgment prediction
Authors: Yamada Hiroaki , Tokunaga Takenobu , Ohara Ryutaro , Tokutsu Akira , Takeshita Keisuke , Sumida Mihoko 
Published: May 2024

AbstractThis paper presents the first dataset for Japanese Legal Judgment Prediction (LJP), the Japanese Tort-case Dataset (JTD), which features two tasks: tort prediction and its rationale extraction. The rationale extraction task identifies the court’s accepting arguments from alleged arguments by plaintiffs and defendants, which is a novel task in the field. JTD is constructed based on annotated 3477 Japanese Civil Code judgments by 41 legal experts, resulting in 7978 instances with 59,697 of their alleged arguments from the involved parties. Our baseline experiments show the feasibility of the proposed two tasks, and our error analysis by legal experts identifies sources of errors and suggests future directions of the LJP research.
Pikeperch muscle tissues: a comparative study of structure, enzymes, genes, and proteins in wild and farmed fish
Authors: Tönißen Katrin , Franz George P. , Albrecht Elke , Lutze Philipp , Bochert Ralf , Grunow Bianka 
Published: May 2024

AbstractPikeperch (Sander lucioperca) is a freshwater species and an internationally highly demanded fish in aquaculture. Despite intensive research efforts on this species, fundamental knowledge of skeletal muscle biology and structural characteristics is missing. Therefore, we conducted a comprehensive analysis of skeletal muscle parameters in adult pikeperch from two different origins, wild-caught specimens from a lake and those reared in a recirculating aquaculture system. The analyses comprised the biochemical characteristics (nucleic acid, protein content), enzyme activities (creatine kinase, lactate dehydrogenase, NADP-dependent isocitrate dehydrogenase), muscle-specific gene and protein expression (related to myofibre formation, regeneration and permanent growth, muscle structure), and muscle fibre structure. The findings reveal distinct differences between the skeletal muscle of wild and farmed pikeperch. Specifically, nucleic acid content, enzyme activity, and protein expression varied significantly. The higher enzyme activity observed in wild pikeperch suggests greater metabolically activity in their muscles. Conversely, farmed pikeperch indicated a potential for pronounced muscle growth. As the data on pikeperch skeletal muscle characteristics is sparse, the purpose of our study is to gain fundamental insights into the characteristics of adult pikeperch muscle. The presented data serve as a foundation for further research on percids’ muscle biology and have the potential to contribute to advancements and adaptations in aquaculture practices.
An interactive approach to the notion of chemical substance and the case of water
Authors: Riesmeier Marabel 
Published: May 2024

AbstractFrom organic synthesis to quantum chemical calculation, chemists interact with chemical substances in a wide variety of ways. But what even is a chemical substance? My aim is to propose a notion of chemical substance that is consistent with the way in which chemical substances are individuated in chemistry, addressing gaps in previous conceptions of chemical substance. Water is employed as a case study to develop the account, not only because it is a familiar example of a chemical substance, but also because its structural peculiarities make it an ideal test case for drawing out potential issues and limitations. Examining four distinct views of chemical substance—the microstructural, thermodynamic, purification, and a functional/relational account—I conclude that each has considerable drawbacks when used as a standalone concept. However, these accounts are not rendered obsolete, but are combined into a semi-pluralist conceptual patchwork. My interactive account of chemical substance is consistent with existing substance descriptions and chemical practice.
Beyond the Quantum Membrane Paradigm: A Philosophical Analysis of the Structure of Black Holes in Full QG
Authors: Cinti Enrico , Sanchioni Marco 
Published: May 2024

AbstractThis paper presents a philosophical analysis of the structure of black holes, focusing on the event horizon and its fundamental status. While black holes have been at the centre of countless paradoxes arising from the attempt to merge quantum mechanics and general relativity, recent experimental discoveries have emphasised their importance as objects for the development of Quantum Gravity. In particular, the statistical mechanical underpinning of black hole thermodynamics has been a central research topic. The Quantum Membrane Paradigm, proposed by Wallace (Stud Hist Philos Sci Part B 66:103-117, 2019), posits a real membrane made of black hole microstates at the black hole horizon to provide a statistical mechanical understanding of black hole thermodynamics from an exterior observer’s point of view. However, we argue that the Quantum Membrane Paradigm is limited to low-energy Quantum Gravity and needs to be modified to avoid reference to geometric notions, such as the event horizon, which presumably do not make sense in the non-spatiotemporal context of full Quantum Gravity. Our proposal relies on the central dogma of black hole physics. It considers recent developments, such as replica wormholes and entanglement wedge reconstruction, to provide a new framework for understanding the nature of black hole horizons in full Quantum Gravity.
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)
Authors: Mäkiaho Teemu , Laitinen Jouko , Nuutila Mikael , Koskinen Kari T. 
Published: May 2024

AbstractIn various industry sectors, predicting the real-life availability of milling applications poses a significant challenge. This challenge arises from the need to prevent inefficient blade resource utilization and the risk of machine breakdowns due to natural wear. To ensure timely and accurate adjustments to milling processes based on the machine's cutting blade condition without disrupting ongoing production, we introduce the Fused Data Prediction Model (FDPM), a novel temporal hybrid prediction model. The FDPM combines the static and dynamic features of the machines to generate simulated outputs, including average cutting force, material removal rate, and peripheral milling machine torque. These outputs are correlated with real blade wear measurements, creating a simulation model that provides insights into predicting the wear progression in the machine when associated with real machine operational parameters. The FDPM also considers data preprocessing, reducing the dimensional space to an advanced recurrent neural network prediction algorithm for forecasting blade wear levels in milling. The validation of the physics-based simulation model indicates the highest fidelity in replicating wear progression with the average cutting force variable, demonstrating an average relative error of 2.38% when compared to the measured mean of rake wear during the milling cycle. These findings illustrate the effectiveness of the FDPM approach, showcasing an impressive prediction accuracy exceeding 93% when the model is trained with only 50% of the available data. These results highlight the potential of the FDPM model as a robust and versatile method for assessing wear levels in milling operations precisely, without disrupting ongoing production.
Processing of high-strength thermal-resistant Al-2.2% cerium-1.3% lanthanum alloy rods with high electric conductivity by High Pressure Torsion Extrusion
Authors: Xu Rui , Lu Yemao , Dai Yuting , Brognara Andrea , Hahn Horst , Ivanisenko Yulia 
Published: May 2024

AbstractA novel severe plastic deformation (SPD) process of High Pressure Torsion Extrusion (HPTE) was applied to the rods of the Al-2.2 wt.% Ce-1.3 wt.% La (Al–3.5RE) alloy. The microstructure, microhardness, the mechanical strength, thermal stability, and electrical conductivity of the alloy after HPTE and subsequent annealing have been investigated. It was demonstrated that HPTE processing can simultaneously increase yield strength from 127 to 225 MPa and electrical conductivity from 54.7% IACS to 55.7% IACS in this alloy. Such a remarkable combination of properties was achieved thanks to significant refinement of microstructure constituents: grain size of Al matrix was reduced down to 0.9 µm and initially continuous network of Al11RE3 phase was broken to micrometer- and nanometer-sized particles. Furthermore, the yield strength of the HPTE-processed Al–3.5 RE alloy remains stable at 230 °C for 1 h due to micrometer- and nanometer-sized particles that pin the grain boundaries. Therefore, HPTE processing of Al–RE alloys has a high application potential in the electric power industry.
Graphical abstract
Deployment of POLARBEAR-2b
Authors: Russell Megan , Sakaguri Kana , Lowry Lindsay Ng , Adkins Tylor , Arnold Kam , Baccigalupi Carlo , Crowley Kevin T. , Elleflot Tucker , Farias Nicole , Hazumi Masashi , Ito Jennifer , Jeong Oliver , Lee Adrian , Lew Michael , Nelson Jacob , Siritanasak Praween , Tsan Tran ,   the POLARBEAR Collaboration
Published: May 2024

AbstractPOLARBEAR-2b (PB-2b) is the second receiver in the Simons Array, a cosmic microwave background (CMB) polarization experiment. The Simons Array uses dichroic polarization sensitive lenslet-coupled sinuous antennas and transition-edge sensor (TES) bolometers made of superconducting films. These bolometers are read out with frequency multiplexing electronics. PB-2b contains $$\sim$$
∼
7500 detectors in two bands at 90 and 150 GHz with arcminute resolution. The polarization of these detectors is modulated by a cryogenic continuously rotating half-wave plate. PB-2b was installed on its telescope in 2022 in the Atacama Desert at an altitude of 5.2 km. This paper will detail initial readout commissioning, test of a new loopgain monitoring method, and focusing the optics. Work is ongoing to commission the remaining ambient temperature readout electronics, measure detector time constants, and observe with the cryogenic half-wave plate spinning
A quantitative systems pharmacology model of plasma kallikrein-kinin system dysregulation in hereditary angioedema
Authors: Sexton Dan , Nguyen Hoa Q. , Juethner Salomé , Luo Haobin , Zhang Zhiwei , Jasper Paul , Zhu Andy Z. X. 
Published: May 2024

AbstractHereditary angioedema (HAE) due to C1-inhibitor deficiency is a rare, debilitating, genetic disorder characterized by recurrent, unpredictable, attacks of edema. The clinical symptoms of HAE arise from excess bradykinin generation due to dysregulation of the plasma kallikrein-kinin system (KKS). A quantitative systems pharmacology (QSP) model that mechanistically describes the KKS and its role in HAE pathophysiology was developed based on HAE attacks being triggered by autoactivation of factor XII (FXII) to activated FXII (FXIIa), resulting in kallikrein production from prekallikrein. A base pharmacodynamic model was constructed and parameterized from literature data and ex vivo assays measuring inhibition of kallikrein activity in plasma of HAE patients or healthy volunteers who received lanadelumab. HAE attacks were simulated using a virtual patient population, with attacks recorded when systemic bradykinin levels exceeded 20 pM. The model was validated by comparing the simulations to observations from lanadelumab and plasma-derived C1-inhibitor clinical trials. The model was then applied to analyze the impact of nonadherence to a daily oral preventive therapy; simulations showed a correlation between the number of missed doses per month and reduced drug effectiveness. The impact of reducing lanadelumab dosing frequency from 300 mg every 2 weeks (Q2W) to every 4 weeks (Q4W) was also examined and showed that while attack rates with Q4W dosing were substantially reduced, the extent of reduction was greater with Q2W dosing. Overall, the QSP model showed good agreement with clinical data and could be used for hypothesis testing and outcome predictions.
Gender Perspectives on Role Models: Insights from STEM Students and Professionals
Authors: Tal Marina , Lavi Rea , Reiss Shari , Dori Yehudit Judy 
Published: May 2024

AbstractQualified professionals in science, technology, engineering, and mathematics (STEM) and STEM education are in increasingly short supply globally. Role models can help increase women’s representation in STEM, both at entry and senior levels. The study objectives were to identify the characteristics of role models in STEM higher education and careers and to investigate the differences in role model characteristics between career stages and between genders. We used a mixed-methods methodology involving a questionnaire and interviews. The participants, 788 alumni and final-year undergraduate and graduate students from a STEM research university, responded to the questionnaire, and ten leading women in STEM professions were interviewed. The questionnaire results indicated that a higher proportion of women than men reported being influenced by a role model during their studies. Seven key characteristics of role models were identified from the open-ended responses and the interviews: ambitious, charismatic, empathic and encouraging, inspiring, knowledgeable, gifted, and professional. The most frequent characteristics women mentioned were empathic and encouraging. The research findings support and align with the social cognitive career theory (SCCT), demonstrating how role modeling, which is part of the environmental theme, boosts intrinsic motivation—part of the personal theme, for individuals in STEM, especially women. These processes impact women’s determination and professional performance—part of the behavioral theme. Based on our findings, to advance toward a STEM workforce characterized by greater fairness, we recommend designing and deploying structured mentoring programs and forums in STEM departments that can provide young women with more role models for success and thus with more hope for success in these fields.
Thermogravimetry as a research tool for the development of an ammonium sulphate roasting process for selective metal extraction from minerals
Authors: Castleman Barbara A. , Doucet Frédéric J. , Roos Liza , Sedibelwana Matlakala , van der Merwe Elizabet M. 
Published: May 2024

AbstractThe ammonium sulphate roasting process involves reacting mineral-bearing materials with ammonium sulphate via a solid–solid roasting process and subjecting the resulting roast residue to aqueous leaching. This process enables the simultaneous, non-selective co-extraction of strategic metals from the starting materials. However, effective separation of the extracted metals is often mandatory to produce quality products of high purity. In this study, the combined application of thermogravimetric analysis, X-ray powder diffraction and inductively coupled plasma optical emission spectrometry confirmed the non-selectivity of the process when applied to a South African diamond mine residue residue roasted with ammonium sulphate in a 1:2 mass ratio (m/m) at 450 °C for 2 h, with magnesium, iron and aluminium being co-extracted into water-soluble metal sulphates. Thermogravimetry was then applied to develop a multi-step, multi-temperature selective roasting process using mixtures of pure commercial metal sulphate salts. The first step of the modified process successfully separated iron and aluminium sulphates from magnesium-sulphates in the roast residues by thermally decomposing soluble iron and aluminium sulphates into insoluble oxides via calcination at 750 °C for 2 h. This temperature was lower than the one at which magnesium sulphates convert into magnesium oxide. In the second and final step, iron and aluminium were recovered from the oxide minerals via solid–solid re-roasting with ammonium sulphate at 450 °C for 1 h, causing the oxides to revert back to their water-soluble sulphate forms. The effectiveness of the modified process was subsequently verified using a diamond mine residue, showing that the soluble iron and aluminium contents in the magnesium-bearing leachate could be reduced by over 90%.
The Proliferation of Special Regimes and the Unity of the International Legal System
Authors: Linderfalk Ulf 
Published: May 2024

AbstractInternational law is becoming increasingly more specialized and diversified. In response to these developments, international lawyers now widely refer to international investment law, European human rights law and many other branches as ‘special regimes’. Scholars in the field see the proliferation of special regimes as a threat to the unity of the international legal system. In so doing, they are applying the traditional definition of a special regime as a collection of norms. This article encourages readers to conceive instead of a special regime as a community of practice—as an activity structured around the normative presuppositions of the people and institutions that participate in it. This new understanding, the article argues, is compatible with all predominant theories of law. When you adopt it, importantly, the proliferation of special regimes does not have the disintegrating effect that many scholars believe it to have.
Time Series Classification Based on Forward Echo State Convolution Network
Authors: Xia Lei , Tang Jianfeng , Li Guangli , Fu Jun , Duan Shukai , Wang Lidan 
Published: May 2024

AbstractThe Echo state network (ESN) is an efficient recurrent neural network that has achieved good results in time series prediction tasks. Still, its application in time series classification tasks has yet to develop fully. In this study, we work on the time series classification problem based on echo state networks. We propose a new framework called forward echo state convolutional network (FESCN). It consists of two parts, the encoder and the decoder, where the encoder part is composed of a forward topology echo state network (FT-ESN), and the decoder part mainly consists of a convolutional layer and a max-pooling layer. We apply the proposed network framework to the univariate time series dataset UCR and compare it with six traditional methods and four neural network models. The experimental findings demonstrate that FESCN outperforms other methods in terms of overall classification accuracy. Additionally, we investigated the impact of reservoir size on network performance and observed that the optimal classification results were obtained when the reservoir size was set to 32. Finally, we investigated the performance of the network under noise interference, and the results show that FESCN has a more stable network performance compared to EMN (echo memory network).
A comparative review on Ayam Cemani chicken — A comparison with the most common chicken species in terms of nutritional values, LCA, price and consumer acceptance
Authors: Siddiqui Shahida Anusha , Toppi Valeria , Syiffah Layyinatus 
Published: May 2024

AbstractChickens are definitely among the most prevalent and broadly distributed domestic species. Among these, Ayam Cemani, also known as black chicken, is a rare Indonesian chicken breed originating from the island of Java. The main characteristic of this breed is that the body, both internally and externally, is entirely black. This is due to a condition named fibro melanosis, in which there is an over accumulation of melanin pigment in body tissues. In addition to this, Ayam Cemani meat results to be also higher in protein content and lower in fat. Moreover, Ayam Cemani meat is also known to have antioxidant and glucose-binding capacities. These properties make it very desirable within the market and consequently very expensive. Their meat is also used traditionally by tribal healers in the treatment of some chronic illnesses. In general, compared to other chicken species, the Ayam Cemani showed an higher genetic resistance to some infectious diseases commonly affecting poultry species. As regard the breeding, Ayam Cemani is a unique breed which may only be raised in specific locations, characterized to be a slowly growing breed with a lower body weight in comparison to the other poultry breeds. Nowadays, due to an improvement in the management, the nutrition and diseases control, it is possible to enhance their productivity. To date, there are not many studies in the literature on the specific breed of Ayam Cemani. For this reason, this review aims to provide a comprehensive overview of all the knowledge of the Ayam Cemani breed, the nutritional composition of the meat and consumer acceptance.
Graphical abstract
Overview of Ayam Cemani origin and uses
The Potential use of Reclaimed Water for Irrigation Purposes: Is it Overestimated?
Authors: Expósito Alfonso , Díaz-Cano Esther , Berbel Julio 
Published: May 2024

AbstractThe use of reclaimed water is expected to increase in the coming years, mainly in water-scarce areas. In the European Union (EU), an increase in the use of reclaimed water is expected to play a significant role within the European circular economy strategy and climate change adaptation policies with the aim to enhance overall sustainability of water resource management. While several institutions have offered estimations of the potential of reclaimed water reuse in the EU context, these estimations tend to overestimate potential reuse volumes since they fail to fully consider the following important issues: (a) the role of return flows in basins where cascade reuse is crucial in maintaining downstream uses (including ecological flows); (b) the availability of abundant (and cheaper) conventional resources; and (c) the economic productivity of water as an indicator of users’ willingness to pay for reclaimed water. This study focuses on the Spanish case since this is currently the EU member state with the highest potential for reclaimed water reuse. Findings show that previous estimations of reusable water volumes in Spain may have overestimated potential volumes. The proposed analysis can be extrapolated to other EU regions, where realistic estimations of the potential of reclaimed water might be much needed.