bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fractal characteristics of the middle reach of the Paraná River floodplain during extreme hydrological events
Authors: Espínola Luis Alberto , Yoya Federico , Sklar Deigo , Contreras Félix Ignacio , Abrial Elie , Albornoz Enrique Marcelo , Paira Aldo Raúl , Rabuffetti Ana Pia , Blettler Martín Cesar Maria , Aimar Hugo 
Published: June 2023

AbstractThe hydrological events that occur on floodplains are largely defined by precipitation and runoff inputs interacting with their geomorphological characteristics. In the middle Paraná River (MPR), hydrological events have traditionally been studied using water level time series and topographic charts or satellite images of certain floodplain sectors, using the same scale throughout the study area. Different zones of the floodplain were integrated using fractal dimension (FD) to better understand hydrological processes. FD is a useful tool used to characterize the geomorphological complexity of river networks in watersheds. The box‐counting method was applied in the MPR floodplain. The result showed that as water levels increase, FD decreases, thereby indicating the direct relation with the hydrological attributes of the floodplain (e.g., duration, magnitude, recurrence of the flood event, and connectivity). This relation constitutes the basis of a new approach of the analysis of hydrological events and their effect on the MPR floodplain. This research provides fundamental information obtained from two hydrological stages and different spatial scales which may complement the method designed to accurately understand the hydrogeomorphological processes that operate on the Paraná River floodplain. It provides a simple parameter that can be used to evaluate the role that each floodplain section plays in attenuating the hydrograph recorded at each gauge analyzed along the river. This information will be useful in the implementation of management policies directed to the mitigation of future hydrological threats generated by alterations in the hydrological regime due to hydroclimatic variations or watershed alterations. The results further strengthen the basis for integrated sustainable planning of the main channel of the Paraná River, its floodplain, and the resources provided by this ecosystem.
Improving Room‐Temperature Li‐Metal Battery Performance by In Situ Creation of Fast Li+ Transport Pathways in a Polymer‐Ceramic Electrolyte
Authors: Yu Jing , Zhou Guodong , Li Yueqing , Wang Yuhao , Chen Dengjie , Ciucci Francesco 
Published: June 2023

AbstractComposite polymer‐ceramic electrolytes have shown considerable potential for high‐energy‐density Li‐metal batteries as they combine the benefits of both polymers and ceramics. However, low ionic conductivity and poor contact with electrodes limit their practical usage. In this study, a highly conductive and stable composite electrolyte with a high ceramic loading is developed for high‐energy‐density Li‐metal batteries. The electrolyte, produced through in situ polymerization and composed of a polymer called poly‐1,3‐dioxolane in a poly(vinylidene fluoride)/ceramic matrix, exhibits excellent room‐temperature ionic conductivity of 1.2 mS cm−1 and high stability with Li metal over 1500 h. When tested in a Li|electrolyte|LiFePO4 battery, the electrolyte delivers excellent cycling performance and rate capability at room temperature, with a discharge capacity of 137 mAh g−1 over 500 cycles at 1 C. Furthermore, the electrolyte not only exhibits a high Li+ transference number of 0.76 but also significantly lowers contact resistance (from 157.8 to 2.1 Ω) relative to electrodes. When used in a battery with a high‐voltage LiNi0.8Mn0.1Co0.1O2 cathode, a discharge capacity of 140 mAh g−1 is achieved. These results show the potential of composite polymer‐ceramic electrolytes in room‐temperature solid‐state Li‐metal batteries and provide a strategy for designing highly conductive polymer‐in‐ceramic electrolytes with electrode‐compatible interfaces.
Data‐driven modeling and prediction on hysteresis behavior of flexure RC columns using deep learning networks
Authors: Guo Jiangmeng , Wang Luji , Shan Jiazeng 
Published: June 2023

SummaryHysteresis behavior of structural components has been one of the research focus for the structural engineering community for decades, comprehensively determines the structural performance and safety, and plays an important role in structural disaster mitigation. It is of great significance to continuously monitor structural responses and accurately characterize structural hysteresis. Currently, the nonlinear properties of real‐world structural components cannot be obtained before its failure. Thus, a historical database is collected firstly. Then, a data‐driven analysis method is proposed for predicting hysteresis behaviors of reinforced concrete (RC) columns. A bidirectional LSTM (BLSTM) network is developed to model and predict hysteresis curves. The data with unfixed lengths are specially processed to simultaneously guarantee a uniform size and avoid data loss, and the clipping layers are inserted in the model to clip off inferior predictions and improve the accuracy. This methodology is systematically studied and validated by employing a sythetic database generated by numerical simulation and the full‐scale experiment database named PEER database. Result shows that proposed BLSTM can predict the hysteresis curves of the RC components with acceptable accuracy and robustness. Moreover, the interpretability analysis is performed on identifying the learning and prediction principle of the BLSTM model on hysteresis prediction and its accuracy variation under different model architectures.
Multi‐Step Forecasting for Household Power Consumption
Authors: Zheng Yuanzhang , Xu Zhen , Liao Wei , Lin Binbin , Chen Jing 
Published: June 2023

AbstractIt is of great importance to build an accurate model for the multi‐step forecasting of household power consumption. In recent years, more and more researchers have focused on adopting hybrid models to execute forecasting due to the irregularity and nonlinearity of power data. However, existing forecasting models usually make predictions directly on original data. This paper introduces secondary decomposition algorithm used to decompose primal data. We use singular spectrum analysis (SSA) to decompose the original series into several subseries, utilize variational mode decomposition (VMD) optimized by whale optimization algorithm to decompose the subseries with the highest frequency into several intrinsic mode functions . Then all subseries obtained from SSA and VMD are fed into long short‐term memory model to get predictions. In order to confirm the validity of proposed model, this paper performs several experimental analyses. The results of experiments show that the proposed model effectively improves the accuracy of forecasting. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.
Measuring transformative WASH: A new paradigm for evaluating water, sanitation, and hygiene interventions
Authors: Stoler Justin , Guzmán Danice B. , Adams Ellis A. 
Published: June 2023

AbstractProgress toward achieving Sustainable Development Goal 6, clean water and sanitation for all, is behind schedule and faces substantial financial challenges. Rigorous water, sanitation, and hygiene (WASH) interventions have underperformed, casting doubt on their efficacy and potentially undermining confidence in WASH funding and investments. But these interventions have leaned on a narrow set of WASH indicators—linear growth and diarrhea—that reflect a 20th‐century prioritization of microbiological water quality as the most important measurement of WASH intervention success. Even when water is microbiologically safe, hundreds of millions of people face harassment, assault, injury, poisoning, anxiety, exhaustion, depression, social exclusion, discrimination, subjugation, hunger, debt, or work, school, or family care absenteeism when retrieving or consuming household water. Measures of WASH intervention success should incorporate these impacts to reinforce the WASH value proposition. We present a way forward for implementing a monitoring and evaluation paradigm shift that can help achieve transformative WASH.This article is categorized under:
Engineering Water > Water, Health, and Sanitation
Human Water > Value of Water
Human Water > Methods
An evaluation of masking nuisance odors from a source by chemical and sensory analyses
Authors: Suffet Irwin H. , Decottignies Virginie , Zhou Yubin , Bian Yuge , Vitko Tadeo G. 
Published: June 2023

AbstractThere are many products in the market advertised as masking agents used to overpower strong nuisance odors, such as in or around water resource recovery facilities, solid waste processing facilities, landfills, composting sites, and so forth. Very little is known about the chemical component of these masking agents because they are protected by trade secrets. This is a problem for the parties involved, as the process of choosing the most adequate agent for the particular odor source falls into guesswork. This paper demonstrates that it is possible to determine how effective the masking product would be before spending time and resources in trials. It proposes to show this by comparing the Weber–Fechner curves of the odor‐causing compounds known to be emitted at the facility with the curves from the potential masking agents prepared in the laboratory using an olfactometer. Several sensorial examples show that when the Weber–Fechner curves of the odorants and those of candidate masking agents are compared, it is possible to define the effectiveness of the masking agent tested. This is a novel use of the Weber–Fechner curves. The results show there is direct correlation between what is observed by a panel with real life odor samples subjected to incremental dilution and the Weber–Fechner odor intensity‐odor concentration curve interaction between the odorants involved. Future work characterizing additional potential masking compounds by Weber–Fechner accompanied by odor profiling with dynamic olfactometry should shed light on the definitive effectiveness of this method in predicting masking effects and discovering useful masking compounds.Practitioner Points

Weber–Fechner curves provide relationships between odorant concentration and odor intensity.
Dynamic olfactometry, in which real‐life air samples are sensorially analyzed by the odor profile method after subsequent dilutions, shows that odor masking occurs.
Analyzing the Weber–Fechner curves of the odorants present in the dynamic olfactometry test show the existing odorant interactions.
It is possible to predict the extent of the masking of potential compounds by comparing Weber–Fechner curves of masking agents against odorants causing nuisance.
This methodology could help avoid spending resources in masking field trials that may result in further exacerbating the affected public.
Magnetite‐based Janus nanoparticles, their synthesis and biomedical applications
Authors: Madadi Mozhdeh , Khoee Sepideh 
Published: June 2023

AbstractThe advent of Janus nanoparticles has been a great breakthrough in the emerging field of nanomaterials. Janus nanoparticles refer to a single structure with two distinct chemical functions on either side. Owing to their asymmetric structures, they can be utilized in a variety of applications where monomorphic particles are insufficient. In the last decade, a wide variety of materials have been employed to fabricate Janus nanoparticles, and due to the great advantages of magnetite (Iron‐oxide) NPs, they have been considered as one of the best candidates. With the main benefit of magnetic controlling, magnetite Janus nanoparticles fulfill great promises, especially in biomedical areas such as bioimaging, cancer therapies, theranostics, and biosensing. The intrinsic characteristics of magnetite Janus nanoparticles (MJNPs) even hold great potential in magnetite Janus forms of micro‐/nanomotors. Despite the great interest and potential in magnetic Janus NPs, the need for a comprehensive review on MJNPs with a concentration on magnetite NPs has been overlooked. Herein, we present recent advancements in the magnetite‐based Janus nanoparticles in the flourishing field of biomedicine. First, the synthesis and fabrication methods of Janus nanoparticles are discussed. Then we will delve into their intriguing biomedical applications, with a separate section for magnetite Janus micro‐/nanomotors in biomedicine. And finally, the challenges and future outlook are provided.This article is categorized under:
Therapeutic Approaches and Drug Discovery > Emerging Technologies
Nanotechnology Approaches to Biology > Nanoscale Systems in Biology
Diagnostic Tools > Diagnostic Nanodevices
Diagnostic Tools > In Vitro Nanoparticle‐Based Sensing
Efforts to ban lead ammunition: a comparison between Europe and the United States
Authors: Ellis Matthew B. , Miller Craig A. 
Published: June 2023

AbstractThe human health impacts of lead have been known for millennia but the environmental impacts of lead ammunition have only received attention during the past 100 years. To a large extent the United States provided leadership in identifying and researching these effects and then spearheading campaigns to transition away from lead shotgun ammunition for waterfowl hunting. However, the appetite for further federal transition has largely stalled in the U.S. except for apparently limited action linked to individual states, charismatic species, and specific sites. Europe, on the other hand, though generally rather late to the table with regard to lead shotgun ammunition and waterfowl hunting, is now pushing ahead with several initiatives that are likely to see substantial partial, if not total, restrictions on the use of all lead ammunition (for shotguns and rifles) within 5 to 10 years. We discuss the policy drivers behind these moves, summarize the key attitudes and perceived constraints to transition, and provide (cautious) timetables and limited recommendations for future changes. Our discussion will include comparisons between efforts in the U.S. and those in Europe.
Wie gut sind 85 Prozent? Über die Analogisierung der Digitalisierung
Authors: Locher Maximilian 
Published: June 2023

Zusammenfassung
Durch die numerische Codierung von Prozessen der Organisation im Zuge der Digitalisierung werden relevante Umwelten der Organisation auf neue Art und Weise transparent gemacht. Numerische Daten erzeugen den Eindruck der Eindeutigkeit. Wie man jedoch weiß, verdanken sich auch Daten Entscheidungen, die so oder anders getroffen werden können. Außerdem bedarf jede Form der Digitalisierung einer anschließenden Analogisierung, um für das Entscheiden der Organisation relevant zu werden. Daten machen Interpretation nicht überflüssig, sondern notwendig.
Plädoyer für die Unterscheidung von Systemreferenzen
Authors: Baecker Dirk 
Published: June 2023

Zusammenfassung
Digitalisierung ist Arbeit an Schnittstellen zwischen betrieblichen, technischen und menschlichen Prozessen. Schnittstellen haben jeweils eine Oberfläche und eine Unterfläche. Der Beitrag zeigt, wie dieser Ausgangspunkt genutzt werden kann, um mithilfe der Unterscheidung von Systemreferenzen einzelne Schnittstellen genauer zu untersuchen und zu gestalten. Menschliche Prozesse müssen ihrerseits in Fragen der Wahrnehmung durch den Organismus (Auge, Ohr, Tastsinn), des Verstehens durch das Bewusstsein und der Kommunikation innerhalb der Organisation unterschieden werden.
Und die Form ist das Entscheidende: Ein Blick zurück in die Zukunft der digitalisierten mittelständischen Produktion
Authors: Meinhardt Carsten , Thomas Martina , Elsholz Uwe 
Published: June 2023

ZusammenfassungIm Gespräch mit dem Produktionsleiter der nass magnet GmbH werden Erfahrungen aus früheren Phasen der Automatisierung und die gegenwärtigen Auswirkungen der Digitalisierung auf die Arbeit in der Produktion gegenüber gestellt sowie ein Ausblick in die nahe Zukunft gewagt. Dabei geht es insbesondere um die Bedeutung von Standards, aber auch um Veränderungen hinsichtlich der Arbeitsgestaltung und der Bedeutung von Erfahrungswissen.
A large twist limit for any operator
Authors: Ferrando Gwenaël , Sever Amit , Sharon Adar , Urisman Elior 
Published: June 2023

Abstract
We argue that for any single-trace operator in $$ \mathcal{N} $$
N
= 4 SYM theory there is a large twist double-scaling limit in which the Feynman graphs have an iterative structure. Such structure can be recast using a graph-building operator. Generically, this operator mixes between single trace operators with different scaling limits. The mixing captures both the finite coupling spectrum and corrections away from the large twist limit. We first consider a class of short operators with gluons and fermions for which such mixing problems do not arise, and derive their finite coupling spectra. We then focus on a class of long operators with gluons that do mix. We invert their graph-building operator and prove its integrability. The picture that emerges from this work opens the door to a systematic expansion of $$ \mathcal{N} $$
N
= 4 SYM theory around the large twist limit.
Finite energy sum rules for gravitational Regge amplitudes
Authors: Noumi Toshifumi , Tokuda Junsei 
Published: June 2023

Abstract
We develop a framework to derive consistency constraints on gravitational Regge amplitudes based on the finite energy sum rules (FESRs), which directly connect gravitational Regge amplitudes at a finite ultraviolet scale with infrared physics without suffering from super-Planckian physics. For illustration, we consider four-point scattering of an identical massless scalar coupled to gravity. First, we derive multiple FESRs without relying on the s-t-u permutation invariance. We then make use of FESRs, crossing symmetry, and other principles such as unitarity, to derive bounds on the Regge parameters. The bounds result in infrared finite gravitational positivity bounds in four spacetime dimensions.
Health trajectories of individuals who quit active religious attendance: analysis of four prospective cohort studies in the United States
Authors: Jokela Markus , Laakasuo Michael 
Published: June 2023

Abstract
Purpose
To examine whether trajectories of health (depressive symptoms, psychological wellbeing, self-rated health, and body mass index) and health behaviors (smoking, heavy alcohol consumption, physical inactivity, and cannabis use) changed for individuals who first reported at least monthly religious attendance and then in subsequent study waves reported no active religious attendance.

Methods
Data were from four cohort studies from the United States collected between 1996 and 2018: National Longitudinal Survey of 1997 (NLSY1997); National Longitudinal Survey of Young Adults (NLSY-YA); Transition to Adulthood Supplement of the Panel Study of Income Dynamics (PSID-TA); and Health and Retirement Study (HRS) with a total n = 6592 individuals and 37,743 person-observations.

Results
None of the 10-year trajectories of health or health behaviors changed for the worse after the change from active to inactive religious attendance. Instead, the adverse trends were observed already during the time of active religious attendance.

Conclusion
These results suggest that religious disengagement is a correlate—not a cause—of a life course characterized by poorer health and health behaviors. The religious decline caused by people leaving their religion is unlikely to influence population health.
Using Confocal Microscopy and Pigment Analyses to Detect Adverse Insecticide Effects in non-target Freshwater Diatom species - a proof-of-concept Using Nitzschia palea
Authors: Kock Anrich , Pheiffer Wihan , Wepener Victor , Smit Nico J. , Taylor Jonathan C. 
Published: June 2023

AbstractThe persistence of insecticides in aquatic environments is a cause of concern and to date hardly any studies have focused on the effects that DDT and deltamethrin have on non-target freshwater diatom communities. The application of diatoms in ecotoxicological studies is well acknowledged and therefore this study used laboratory bioassays to determine the effects that DDT and deltamethrin have on a monoculture of a diatom indicator species, Nitzschia palea. The insecticides affected the morphology of chloroplasts at all exposure concentrations. These effects were a maximum reduction in chlorophyll concentrations (4.8% and 2.3%), cell viability (51% and 42%), and increases in cell deformities (3.6% and 1.6%) following exposure to DDT and deltamethrin respectively. Based on the results we propose that methods, such as confocal microscopy, chlorophyll-α analysis and cell deformities are useful tools in assessing the effects of insecticides on diatoms.
Sample preparation of free sterols from vegetable oils by countercurrent chromatography in co-current mode
Authors: Rüttler Felix , Ormos Rosalie , Cannas Jil , Hammerschick Tim , Schlag Sarah , Vetter Walter 
Published: June 2023

AbstractCountercurrent chromatography (CCC) is a preparative instrumental method where both the mobile and stationary phases are liquids and which are predominantly used for the isolation of natural products. In this study, we widened the scope of CCC by using it as an instrumental method for the direct enrichment of the free sterol fraction from plant oils to which they contribute with ~ 1%. For the enrichment of sterols in a narrow band, we employed the so-called co-current CCC (ccCCC) mode in which both liquid phases of the solvent system (here: n-hexane/ethanol/methanol/water (34:11:12:2, v/v/v/v)) are moved at different flow rates in the same direction. Different from previous applications of ccCCC, the lower and predominant “stationary” phase (LPs) was pumped twice as fast as the mobile upper phase (UPm). This novel reversed ccCCC mode improved the performance but also required a higher demand of LPs compared to UPm. Therefore, the exact phase composition of UPm and LPs was determined by gas chromatography and Karl Fischer titration. This step enabled the direct preparation of LPs which considerably reduced the waste of solvents. Internal standards (phenyl-substituted fatty acid alkyl esters) were synthesised and utilised to frame the free sterol fraction. This approach allowed a fractionation of free sterols based on the UV signal and compensated run-to-run variations. The reversed ccCCC method was then applied to the sample preparation of five vegetable oils. In addition to free sterols, free tocochromanols (tocopherols, vitamin E) were also eluted in the same fraction as free sterols.
Graphical Abstract