bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multistrain Probiotics Alleviate Diarrhea by Modulating Microbiome-Derived Metabolites and Serotonin Pathway
Authors: Jeong Jin-Ju , Jin Yoo-Jeong , Ganesan Raja , Park Hee Jin , Min Byeong Hyun , Jeong Min Kyo , Yoon Sang Jun , Choi Mi Ran , Sharma Satya Priya , Jang You Jin , Min Uigi , Lim Jong-Hyun , Na Kyeong Min , Choi Jieun , Han Sang Hak , Ham Young Lim , Lee Do Yup , Kim Byung-Yong , Suk Ki Tae 
Published: March 2024

AbstractDiarrhea, a common gastrointestinal symptom in health problems, is highly associated with gut dysbiosis. The purpose of this study is to demonstrate the effect of multistrain probiotics (Sensi-Biome) on diarrhea from the perspective of the microbiome-neuron axis. Sensi-Biome (Lactiplantibacillus plantarum, Bifidobacterium animalis subsp. lactis, Lactobacillus acidophilus, Streptococcus thermophilus, Bifidobacterium bifidum, and Lactococcus lactis) was administered in a 4% acetic acid–induced diarrhea rat model at concentrations of 1 × 108 (G1), 1 × 109 (G2), and 1 × 1010 CFU/0.5 mL (G3). Diarrhea-related parameters, inflammation-related cytokines, and stool microbiota analysis by 16S rRNA were evaluated. A targeted and untargeted metabolomics approach was used to analyze the cecum samples using liquid chromatography and orbitrap mass spectrometry. The stool moisture content (p < 0.001), intestinal movement rate (p < 0.05), and pH (p < 0.05) were significantly recovered in G3. Serotonin levels were decreased in the multistrain probiotics groups. The inflammatory cytokines, serotonin, and tryptophan hydroxylase expression were improved in the Sensi-Biome groups. At the phylum level, Sensi-Biome showed the highest relative abundance of Firmicutes. Short-chain fatty acids including butyrate, iso-butyrate, propionate, and iso-valeric acid were significantly modified in the Sensi-Biome groups. Equol and oleamide were significantly improved in the multistrain probiotics groups. In conclusion, Sensi-Biome effectively controls diarrhea by modulating metabolites and the serotonin pathway.
Hydrological and geochemical properties of bottom ash landfills
Authors: Ingold Philipp , Weibel Gisela , Wanner Christoph , Gimmi Thomas , Churakov Sergey V. 
Published: March 2024

AbstractIn Switzerland, municipal solid waste incineration bottom ash is deposited in open landfills, which leads to its interaction with rainwater and thus the formation of a polluted leachate. This study attempts to provide a better understanding of the hydraulic and geochemical properties of bottom ash landfills by combining field and laboratory investigations. The results show that a bottom ash landfill can be described as a generally unsaturated body with several layers of different grain sizes. Three different water domains with variable hydraulic and geochemical properties were identified in the landfill: (1) zones of preferential flow, (2) a reservoir of mobile porewater, and (3) an immobile porewater reservoir. Preferential flow systems account for approximately 5–10 vol.%. The landfill layering is primarily responsible for the formation of various flow systems during heavy rainfall events. The domains and reservoirs provide variable volumetric contribution to the leachate, depending on precipitation rates and duration of dry periods. Sampling of leachate during heavy rainfall events revealed dilution effects for Na (− 59–61% compared to concentrations prior to the event), Ca (− 44–47%), Cl (− 57–77%), and SO4 (− 35–47%), while pH (+ 7–8%) and concentrations of Al (+ 368–1416%), Cu (+ 7–58%), Cr (+ 29–48%), V (+ 100–118%), and Zn (+ 289%) increased significantly. The findings of this study serve as a basis for the development of a hydrogeochemical model of a bottom ash landfill, which allows better prediction of the future evolution of leachate quality.
Influence and optimization of swirler parameters on elbow wear of deep coal fluidization pipeline transportation system
Authors: Zhao Shaodi , Bao Jiusheng , Ge Shirong , Wang Zhongbin , Yin Yan , Huang Congguang 
Published: March 2024

AbstractElbow wear is a major threat to the multiphase pipeline transportation industry, which has a negative impact on the stable operation of the transportation system. In order to find the wear reduction methods of elbows in the fluidization pipeline transportation system for 2000-meter-deep coal resources, the swirler was installed upstream of the elbows, and wear simulations and tests of three kinds of elbows were carried out. The results showed that the maximum wear rate (MWR) of elbows increased and then decreased along the elbow angle. Due to the different directions of gravity, the heavy wear position (HWP) of the horizontal-vertical (H-V) elbow was in front of the vertical-horizontal (V-H) elbow. Because the downstream portion of the horizontal-horizontal (H-H) elbow was still a horizontal pipe, the HWP of the H-H elbow almost covered the whole elbow. The swirler placed upstream of the elbows could make the particles at the elbow move to the intrados of the elbows, resulting in less collision between the particles and the extrados of the elbows, thus reducing the wear of the elbows. The wear reduction effects of swirlers on three different elbows were favorably connected with the guide vane angle (GVA) and negatively correlated with the guide vane length (GVL), decreased first and then increased as the guide vane height (GVH) increased, and were little affected by the guide vane number (GVN) and the guide vane thickness (GVT). The mathematical models between the MWR of the elbows and guide vane parameters were established. By bench tests, the wear reduction effect of three kinds of elbows under the optimal guide vane parameters was 58.4%, 76.9%, and 78.6%, respectively. The errors between the bench test results and the simulation results were around 10%.
Waste to Resource: Surface Modification of Electric Arc Furnace Flue Dust by Ball Milling and In Situ Carbonization
Authors: Gülcan Mehmet Feryat , Karahan Billur Deniz 
Published: March 2024

AbstractIn this article, instead of synthesizing the electrode active material using expensive precursors that lead to high carbon emissions to the atmosphere during fabrication, an alternative engineering approach is presented for the utilization of the electric arc furnace flue dust, which is an industrial waste, as anode material in lithium-ion batteries. In this scope, firstly ball milling of the flue dust with citric acid is applied and then in situ carbonization conditions are optimized by pyrolyzing the mixture at different temperatures (600 °C and 750 °C) and times (4 h and 6 h). Every sample delivers capacities greater than graphite. Structural, morphological, and chemical characterization results demonstrate that the designed method not only promotes the formation of a nanometer-thick carbon layer formation over the particles but also induces partial phase transformation in the structure. The best performance is achieved when citric acid is used as the carbon source and the ball-milled powder is treated at 600 °C for 4 h in nitrogen (C6004): It delivers 714 mAh g−1 capacity under a current load of 50 mA g−1 after 100 cycles. This research is expected to set an example for the utilization of different industrial wastes in high value-added applications, such as energy storage.
Graphical Abstract
Managerial insights for AI/ML implementation: a playbook for successful organizational integration
Authors: Abonamah Abdullah A. , Abdelhamid Neda 
Published: March 2024

AbstractIn the contemporary business environment, the assimilation of artificial intelligence (AI) and machine learning (ML) is pivotal for fostering innovation and ensuring long-term growth. This paper examines the strategic aspects of AI/ML adoption, emphasizing that its success rests not just on technology but also on strategic alignment, collaboration, and robust leadership. Highlighting the indispensable role of senior leaders, the paper offers a managerial framework for AI/ML integration, ensuring its alignment with organizational goals. Using real-world examples, the paper presents how AI/ML can be strategically embedded to enhance customer interactions, streamline operations, and unveil new revenue streams. The objective is to provide senior leaders with an understanding, enabling them to harness AI/ML effectively, ensuring their organizations remain at the innovation forefront in a digital age dominated by disruptive AI/ML technologies.
IoT-enabled smart cities: a hybrid systematic analysis of key research areas, challenges, and recommendations for future direction
Authors: Omrany Hossein , Al-Obaidi Karam M. , Hossain Mohataz , Alduais Nayef A. M. , Al-Duais Husam S. , Ghaffarianhoseini Amirhosein 
Published: March 2024

AbstractCities are expected to face daunting challenges due to the increasing population in the near future, putting immense strain on urban resources and infrastructures. In recent years, numerous studies have been developed to investigate different aspects of implementing IoT in the context of smart cities. This has led the current body of literature to become fairly fragmented. Correspondingly, this study adopts a hybrid literature review technique consisting of bibliometric analysis, text-mining analysis, and content analysis to systematically analyse the literature connected to IoT-enabled smart cities (IESCs). As a result, 843 publications were selected for detailed examination between 2010 to 2022. The findings identified four research areas in IESCs that received the highest attention and constituted the conceptual structure of the field. These include (i) data analysis, (ii) network and communication management and technologies, (iii) security and privacy management, and (iv) data collection. Further, the current body of knowledge related to these areas was critically analysed. The review singled out seven major challenges associated with the implementation of IESCs that should be addressed by future studies, including energy consumption and environmental issues, data analysis, issues of privacy and security, interoperability, ethical issues, scalability and adaptability as well as the incorporation of IoT systems into future development plans of cities. Finally, the study revealed some recommendations for those interconnected challenges in implementing IESCs and effective integrations within policies to support net-zero futures.
Data and statecraft: why and how states localize data
Authors: Han Sanghyun 
Published: March 2024

AbstractThis paper explores the motives and mechanisms behind data localization implemented by states to protect data, which is essential to emerging technologies such as Artificial Intelligence. Despite the significant negative aspects of data localization for states, the practice has become increasingly prevalent, leading to the unexplored question of why states choose to implement it. This suggests that data localization is a form of economic means derived from digital technologies and employed by states to serve political objectives. Focusing on the data in platforms, the theoretical mechanism of data localization is captured in light of two factors: network perception and security externality. Network perception pertains to a state’s perception of the positive network effect generated by platforms, while security externality refers to a state’s consideration of the security implications in relation to the economic benefits derived from the positive network effect, serving the national interest in domestic and/or international contexts. To substantiate these theoretical propositions, the paper employs a comparative case study approach where Vietnam, Singapore, and Indonesia have been chosen as empirical cases based on the selection strategy. The paper bridges the concept of economic statecraft with digital technologies, fosters interdisciplinary discussions, and offers policy implications.
The future of AI politics, policy, and business
Authors: Best Eric , Robles Pedro , Mallinson Daniel J. 
Published: March 2024

AbstractOur aim with this special issue on the future of artificial intelligence (AI) politics, policy, and business is to give space to considering how the balalnce between risk and reward from AI technologies is and perhaps should be pursued by the public and private sectors. Ultimately, private firms and regulators will need to work collaboratively, given the complex networks of actors involved in AI development and deployment and the potential for the technology to alter existing policy regimes. We begin the introduction of this special issue of Business & Politics with a discussion of the growth in AI technology use and discussions of appropriate governance, followed by a consideration of how AI-related politics, policy, and business intersect. We then summarize the contributions of the authors in this issue and conclude with thoughts about how political science, public administration, and public policy scholars have much to offer, as well as much to study, the establishment of effective AI governance.
A new MIS 5 to MIS 2 speleothem record from Sandkraal Cave on the South African Cape south coast
Authors: Braun Kerstin , Bar-Matthews Miryam , Ayalon Avner , Matthews Alan , Zilberman Tami , Zolotova Natalya , Cowling Richard M. , Karkanas Panagiotis , Cawthra Hayley C. , Fisher Erich C. , Edwards R. Lawrence , Li Xianglei , Marean Curtis W. 
Published: March 2024

AbstractWe present new stable oxygen and carbon isotope composite records (δ18O, δ13C) of speleothems from Sandkraal Cave 1 (SK1) on the South African south coast for the time interval between 104 and 18 ka (with a hiatus between 48 and 41 ka). Statistical comparisons using kernel-based correlation analyses and semblance analyses based on continuous wavelet transforms inform the relationships of the new speleothem records to other proxies and their changes through time. Between 105 and ~70 ka, changes of speleothem δ18O values at SK1 are likely related to rainfall seasonality. Variations of δ13C values are associated with changes of vegetation density, prior carbonate precipitation (PCP), CO2 degassing in the cave, and possibly variations of the abundance of C3 and C4 grasses in the vegetation. The relationships of δ18O with other proxies shift between ~70 and 48 ka (Marine Isotope Stages 4–3) so that both stable isotope records now reflect CO2 degassing, evaporation, and PCP. Similar relationships also continue after the hiatus for the deposition phase between 42 and 18 ka. Our findings support modeling results suggesting drier conditions in the study area when the Southern Hemisphere westerlies are shifted north and the paleo–Agulhas Plain is exposed.
The sup-norm problem beyond the newform
Authors: ASSING EDGAR 
Published: March 2024

AbstractIn this paper we take up the classical sup-norm problem for automorphic forms and view it from a new angle. Given a twist minimal automorphic representation
$\pi$
we consider a special small
$\mathrm{GL}_2(\mathbb{Z}_p)$
-type V in
$\pi$
and prove global sup-norm bounds for an average over an orthonormal basis of V. We achieve a non-trivial saving when the dimension of V grows.
Gravity of the crime and early release: A comparative study of early release practices in international tribunals
Authors: Fernández-Pacheco Estrada Cristina 
Published: March 2024

AbstractThe gravity of the crime committed has been considered ‘a factor of fundamental importance’ when deciding the early release of a person convicted by the ad hoc tribunals. Hence, most of the decisions rendered by the International Criminal Tribunal for the former Yugoslavia, for Rwanda and the International Residual Mechanism for Criminal Tribunals include this factor and determine whether it weighs in favour of or against early release. Conversely, when deciding the reduction of the sentence in the case of Thomas Lubanga, the International Criminal Court Panel stated in 2015 that ‘unlike at other international criminal tribunals, the gravity of the crime committed is not a factor that in itself weighs for or against reduction of sentence’. In fact, none of the decisions delivered by the International Criminal Court to date mention gravity. This drastic change reflects the differences in the corresponding statutes and rules of procedure and evidence and ultimately seeks to avoid a double count since the gravity of the crime committed is arguably the most important factor in the determination of the sentence. This divergence is examined in greater detail in this article, drawing on comparative, empirical research to establish the role played by gravity in early release decisions. Ultimately, it is argued that although the explanatory power generally attributed to gravity is often overrated, it is essential to a thorough early release assessment, whether included as a prerequisite per se or indirectly integrated into a wider prognosis of the risk of recidivism.
Characteristics of Dissolved Organic Matter in Uranium Hosting Aquifers and Potential Molecular Transformation During Neutral In Situ Leaching
Authors: Lu Chongsheng , Xiu Wei , Yang Bing , Lian Guoxi , Zhang Tianjing , Bi Erping , Guo Huaming 
Published: March 2024

AbstractDissolved organic matter (DOM) is widespread in uranium (U) hosting aquifer, a key substance affecting CO2 + O2 in situ leaching (ISL) of U by consuming injected O2. However, molecular composition and molecular transformation of DOM are poorly understood in this aquifer during the U mining. To address this issue, Fourier transform ion cyclotron resonance mass spectrometry was applied to investigate DOM molecules in groundwater samples and rock samples collected from a U mining aquifer. The high proportion of labile tyrosine‐like component and BIX value in monitoring wells (BM) indicated the biological origin of DOM. CHOS and aliphatic were the major components of water‐soluble organic matter (WSOM) in U‐bearing rocks, but CHO and highly unsaturated structures with high oxygen (HUSHO) were the main components of DOM in BM. The ISL led to the release of WSOM and the oxidation of DOM, which accounted for 24.5%–57.4% and 39.1%–65.7% of expected DOM, respectively. Potential molecular transformations (PMTs) results showed that the intragroup transformations dominated, and remarkable transformations from CHON and CHONS to CHO occurred during ISL. The positive net PMTs of condensed aromatic structure (CAS), aromatic structures (AS), and aliphatic suggested that they were transformed from HUSLO and HUSHO. A gradual decrease in (DBE−O)/Cwa and a gradual increase in NOSCwa indicated that the saturated degree and oxidation state of DOM increased during mining. This work successfully identified molecular characteristics of DOM in U hosting aquifer, and proposed a paradigm of DOM transformation pathways during ISL.
Hyper‐Local Temperature Prediction Using Detailed Urban Climate Informatics
Authors: Li Peiyuan , Sharma Ashish 
Published: March 2024

AbstractThe accurate modeling of urban microclimate is a challenging task given the high surface heterogeneity of urban land cover and the vertical structure of street morphology. Recent years have witnessed significant efforts in numerical modeling and data collection of the urban environment. Nonetheless, it is difficult for the physical‐based models to fully utilize the high‐resolution data under the constraints of computing resources. The advancement in machine learning (ML) techniques offers the computational strength to handle the massive volume of data. In this study, we proposed a modeling framework that uses ML approach to estimate point‐scale street‐level air temperature from the urban‐resolving meso‐scale climate model and a suite of hyper‐resolution urban geospatial data sets, including three‐dimensional urban morphology, parcel‐level land use inventory, and weather observations from a sensor network. We implemented this approach in the City of Chicago as a case study to demonstrate the capability of the framework. The proposed approach vastly improves the resolution of temperature predictions in cities, which will help the city with walkability, drivability, and heat‐related behavioral studies. Moreover, we tested the model's reliability on out‐of‐sample locations to investigate the modeling uncertainties and the application potentials to the other areas. This study aims to gain insights into next‐gen urban climate modeling and guide the observation efforts in cities to build the strength for the holistic understanding of urban microclimate dynamics.
High-throughput and simultaneous inertial separation of tumor cells and clusters from malignant effusions using spiral-contraction-expansion channels
Authors: Zhu Zhixian , Ren Hui , Wu Dan , Ni Zhonghua , Xiang Nan 
Published: March 2024

AbstractTumor cell clusters are regarded as critical factors in cancer pathophysiology, and increasing evidence of their higher treatment resistance and metastasis compared to single tumor cells has been obtained. However, existing cell separation methods that are designed for single tumor cells cannot be used to simultaneously purify tumor cell clusters. To address this problem, we demonstrated a microfluidic approach for the high-throughput, continuous-flow ternary separation of single tumor cells, tumor cell clusters, and WBCs from clinical pleural or abdominal effusions by coupling slanted spiral channels and periodic contraction-expansion arrays. We first systematically explored the influence of particle size and flow rate on particle focusing. The separation performance indicated that 94.0% of WBCs were removed and more than 97% of MDA-MB-231 tumor cells were recovered at a high flow rate of 3500 µL/min. Moreover, more than 90% of tumor cell clusters were effectively preserved after separation. Finally, we successfully applied our device for the ternary separation of single tumor cells, tumor cell clusters, and WBCs from different malignant effusions collected from patients with metastatic cancer. Thus, our spiral-contraction-expansion device has potential as a sample pretreatment tool for the cytological diagnosis of malignant effusions.
A comprehensive analysis of APOE genotype effects on human brain structure in the UK Biobank
Authors: Heise Verena , Offer Alison , Whiteley William , Mackay Clare E. , Armitage Jane M. , Parish Sarah 
Published: March 2024

AbstractAlzheimer’s disease (AD) risk is increased in carriers of the apolipoprotein E (APOE) ε4 allele and decreased in ε2 allele carriers compared with the ε3ε3 genotype. The aim of this study was to determine whether: the APOE genotype affects brain grey (GM) or white matter (WM) structure; and if differences exist, the age when they become apparent and whether there are differential effects by sex. We used cross-sectional magnetic resonance imaging data from ~43,000 (28,494 after pre-processing) white British cognitively healthy participants (7,446 APOE ε4 carriers) aged 45–80 years from the UK Biobank cohort and investigated image-derived phenotypes (IDPs). We observed no statistically significant effects of APOE genotype on GM structure volumes or median T2* in subcortical structures, a measure related to iron content. The volume of white matter hyperintensities differed significantly between APOE genotype groups with higher volumes in APOE ε4ε4 (effect size 0.14 standard deviations [SD]) and ε3ε4 carriers (effect size 0.04 SD) but no differences in ε2 carriers compared with ε3ε3 carriers. WM integrity measures in the dorsal (mean diffusivity [MD]) and ventral cingulum (MD and intracellular volume fraction), posterior thalamic radiation (MD and isotropic volume fraction) and sagittal stratum (MD) indicated lower integrity in APOE ε4ε4 carriers (effect sizes around 0.2–0.3 SD) and ε3ε4 (effect sizes around 0.05 SD) carriers but no differences in ε2 carriers compared with the APOE ε3ε3 genotype. Effects did not differ between men and women. APOE ε4 homozygotes had lower WM integrity specifically at older ages with a steeper decline of WM integrity from the age of 60 that corresponds to around 5 years greater “brain age”. APOE genotype affects various white matters measures, which might be indicative of preclinical AD processes. This hypothesis can be assessed in future when clinical outcomes become available.