bluuebunny/crossref_metadata_2025_split huggingface dataset:
User-side distributed power storage sharing strategy
Authors: Cui Gaoyang , Wang Zhijie 
Published: April 2023

Abstract
Distributed power storage can store and optimize excess power from renewable power sources and reduce the cost of electricity for customers by shifting peaks and filling valleys. However, the expensive price and low utilization of distributed power storage hindered its development on the user side. The time-sharing multiplexing model allow users share distributed power storage’s spare capacity. To improve the utilization of distributed power storage and increase its economic benefits, we propose a user-side distributed power storage sharing strategy. First, we establish a two-level sharing model with community platform as the upper layer and users as the lower layer, then, use the alternating direction multiplier method (ADMM) to solve this optimization model to complete the capacity allocation.
Multi-objective reactive power co-optimization based on the MOPSO algorithm considering wind power integration
Authors: Yue Chen , XianYu Jianchuan 
Published: April 2023

Abstract
With the proposal of the “double carbon” policy, the installed capacity of new energy wind power is further expanded. Focusing on the uncertainty of a high proportion of wind power output, wind power integration will aggravate power quality problems such as active network losses; however, it is effective in improving system network losses that optimize reactive power. Therefore, this study adopts a multi-objective reactive power optimization method, which regards minimum network losses and node voltage deviation as objective function. Unlike the traditional sensitivity analysis method, the reactive power margin method selects the nodes to be compensated, this study adopts multi-objective particle swarm optimization (MOPSO) to resolve the practical problem in the IEEE33 node system. The results show that the nodes selected can play a better role in reactive power compensation aspect. The network losses and voltage deviation of the wind power distribution system can be significantly reduced by comparing the algorithm pre and post of optimization.
Analysis Method of Primary Frequency Modulation Capability of Power System Based on GRNN
Authors: Li Haichen 
Published: April 2023

Abstract
One of the most important key parameters in power network operation is power frequency. The power network will be affected by various disturbances in operation, and the frequency of the power network will show different fluctuations under different disturbances. Once the frequency of the power network deviates from the normal operation level, the power quality of the power network will decrease, and the power equipment will be in an abnormal operation state. With the development of power network, the scale of distributed microgrid with high uncertainty such as new energy is expanding increasingly, the proportion of UHVDC transmission lines is increasing, and the structure of power network is changing, which makes the regulation of power network frequency facing greater challenges. In this paper, relying on the mechanism of integrated load of power network and the participation of generator set in primary frequency modulation, the primary frequency modulation capability of 60 s power network under different frequency disturbance conditions is analysed, and the training and simulation prediction of GRNN generalized regression neural network prediction model are completed by using MATLAB software. By predicting of the generator set under different disturbances, the parameters related to the primary frequency modulation capability of the power network, such as the maximum amplitude of the active power fluctuation, the time when the maximum amplitude occurs and the time when the power network is restored to stability, are obtained to provide more accurate dispatching support for the dispatching side.
Second generation Monitoring of Pixel System (MOPS) chip for
the Detector Control System (DCS) of the ATLAS ITk Pixel detector
Authors: Ahmad R. , Adam A. , Besproswanny J. , Karagounis M. , Kind P. , Kersten S. , Qamesh A. , Walsemann A. , Zeitnitz C. 
Published: April 2023

Abstract
The MOPSv2 chip is an Application Specific Integrated Circuit (ASIC) to provide the
temperature and the voltage monitoring data of individual front-end detector modules to the DCS of
the ATLAS ITk Pixel detector. The chip implements CANopen in a hardwired logic, provides the
possibility of remote reset without a power cycle and automated on-chip frequency trimming using
CAN messages. The chip has proven to be radiation hard during testing up to an ionizing dose of
500 Mrad, immune to Single Event Upsets (SEUs) and works reliably under irradiation at
high operating temperatures of up to 40 °C. In this paper, the functionality and
performance of the second version of the chip will be discussed, and also results from the
irradiation campaigns will be presented.
Multi-scale planning model for robust urban drought response
Authors: Zaniolo Marta , Fletcher Sarah , Mauter Meagan S 
Published: April 2023

Abstract
Increasingly severe droughts are straining municipal water resources and jeopardizing urban water security, but uncertainty in their duration, frequency, and intensity challenges drought planning and response. We develop the Drought Resilient Interscale Portfolio Planning model (DRIPP) to generate optimal planning responses to urban drought. DRIPP is a generalizable multi-scale framework for optimizing dynamic planning strategies of long-term infrastructure deployment and short-term drought response. It integrates climate and hydrological variability with high-fidelity representations of urban water distribution, available technology options, and demand reduction measures to yield robust and cost-effective water supply portfolios that are location-specific. We apply DRIPP in Santa Barbara, California to assess how least cost water supply portfolios vary under different drought scenarios and identify portfolios that are robust across drought scenarios. In Santa Barbara, we find that drought intensity, not duration or frequency, drives cost increases, reliability risk, and regret of overbuilding infrastructure. Under uncertain drought conditions, a diversified technology portfolio that includes both rapidly deployable, decentralized technologies alongside larger centralized technologies minimizes water supply cost while maintaining high robustness to climate uncertainty.
Using structure to model function: incorporating canopy structure improves estimates of ecosystem carbon flux in arctic dry heath tundra
Authors: Min Elizabeth , Naeem Shahid , Gough Laura , McLaren Jennie R , Rowe Rebecca J , Rastetter Edward , Boelman Natalie , Griffin Kevin L 
Published: April 2023

Abstract
Most tundra carbon flux modeling relies on leaf area index (LAI), generally estimated from measurements of canopy greenness using the normalized difference vegetation index (NDVI), to estimate the direction and magnitude of fluxes. However, due to the relative sparseness and low stature of tundra canopies, such models do not explicitly consider the influence of variation in tundra canopy structure on carbon flux estimates. Structure from motion (SFM), a photogrammetric method for deriving three-dimensional (3D) structure from digital imagery, is a non-destructive method for estimating both fine-scale canopy structure and LAI. To understand how variation in 3D canopy structure affects ecosystem carbon fluxes in Arctic tundra, we adapted an existing NDVI-based tundra carbon flux model to include variation in SFM-derived canopy structure and its interaction with incoming sunlight to cast shadows on canopies. Our study system consisted of replicate plots of dry heath tundra that had been subjected to three herbivore exclosure treatments (an exclosure-free control [CT], large mammals exclosure), and a large and small mammal exclosure [ExLS]), providing the range of 3D canopy structures employed in our study. We found that foliage within the more structurally complex surface of CT canopies received significantly less light over the course of the day than canopies within both exclosure treatments. This was especially during morning and evening hours, and was reflected in modeled rates of net ecosystem exchange (NEE) and gross primary productivity (GPP). We found that in the ExLS treatment, SFM-derived estimates of GPP were significantly lower and NEE significantly higher than those based on LAI alone. Our results demonstrate that the structure of even simple tundra vegetation canopies can have significant impacts on tundra carbon fluxes and thus need to be accounted for.
Periodic orbit theory of Bethe-integrable quantum systems: an N-particle Berry–Tabor trace formula
Authors: Urbina Juan Diego , Kelly Michael , Richter Klaus 
Published: April 2023

Abstract
One of the fundamental results of semiclassical theory is the existence of trace formulae showing how spectra of quantum mechanical systems emerge from massive interference among amplitudes related with time-periodic structures of the corresponding classical limit. If it displays the properties of Hamiltonian integrability, this connection is given by the celebrated Berry–Tabor trace formula, and the periodic structures it is built on are tori supporting closed trajectories in phase space. Here we show how to extend this connection into the domain of quantum many-body systems displaying integrability in the sense of the Bethe ansatz, where a classical limit cannot be rigorously defined due to the presence of singular potentials. Formally following the original derivation of Berry and Tabor (1976 Proc. R. Soc. A 349 101), but applied to the Bethe equations without underlying classical structure, we obtain a many-particle trace formula for the density of states of N interacting bosons on a ring, the Lieb–Liniger model. Our semiclassical expressions are in excellent agreement with quantum mechanical results for

N
=
2
,
3

and 4 particles. For N = 2 we relate our results to the quantization of billiards with mixed boundary conditions. Our work paves the way towards the treatment of the important class of integrable many-body systems by means of semiclassical trace formulae pioneered by Michael Berry in the single-particle context.
Hydraulic Performance of a Solar-Powered Drip Irrigation System
Authors: Hameed Hasanen Saeed , Jebur Hussein A. 
Published: April 2023

Abstract
The effect of emitter type and operating pressure on some hydraulic properties of a solar-powered drip irrigation system, under three types of dots, Turbo, Spiral, and GR, and three operating pressures100, 150 and 200 cm piezo meters were used. The results showed an increase in the values of the emitters discharge rate, emission consistency, and the decrease in the values of the variance ratio in the discharge and the coefficient of manufacturing variation by increasing the operating pressure for the Turbo, Spiral and GR emitters, respectively. The highest values of the droplet discharge rate were 4.98 and 5.56 L.hr-1 for GR and Spiral compared to 7.31L.hr-1 for Turbo type. The results showed that the operational pressures had a significant effect on increasing the rate of discharge and the consistency of the emission and decreasing the values of the rate of synthetic variation and the percentage of variation in the discharge, as the lowest coefficient of variation was 0.0260, 0.0393 and 0.0436 for the Turbo, Spiral and GR emitter, respectively. The use of different operating pressures led to an increase in the rate of discharge as well as the values of consistency of the flow and reduced the percentages of variation in expenses and the coefficient of manufacturing variation of the drippers. The average expenditure values were 3.732, 4.679 and 5.952 liters.hour-1 for operating pressures 100, 150 and 200 cm, respectively. The emission consistency values were also increased and were 91.11, 93.78 and 95.53%, and the coefficient of variation ratios were reduced by 32.13, 17.08 and 8.89% for the aforementioned operating pressures.
Response of Royal prunus armeniaca L. Apricot Trees to Humic Acid and Microelements Fertilization
Authors: Ali Tara Aram , Nazar Hasan Mohammed 
Published: April 2023

Abstract
The experiment was carried out at private farms in Al-Daraman area / Kirkuk governorate during the growing season (2021-2022). The experiment included two factors, the first Factor is three concentrations of Humic (0 without addition,5,10) gL-1. The second factor is three mixture of minor elements. The experiment was carried out according to Randomized Complete Block Design (RCBD) with three replicates. The results showed that the adding with Humic at a concentration of 10gL-1 gave significantly increment in the Length of Branches, Dry Weight of leave, leave area, chlorophyll content of leaves, As it reached 13,573, 54,601, 19.8590, and 15.3900 respectively. The study also showed a mixture of minor elements had highest values in as all the studied characteristics. On the other hand, the interaction treatment increased significantly in the plant height and leaf area, while the interaction treatment between the concentration 10gm L-1 and higher mixture of minor elements gave a significant improvement in the other of the studied characteristics.
The design of a high-voltage pulsed electric field (hpef) device for non-liquid materials based on microcontroller
Authors: Hariono B , Kautsar S , Brilliantina A , Rachmanita R E , Nuruddin M , Abdurahman A , Kurnianto M F , Wijaya R 
Published: April 2023

Abstract
High-voltage pulsed electric field (HPEF) is one of the technologies applied in the food industry with the principle of non-heat treatment with a short pre-treatment time and no pollution is produced. The main benefit of this tool is to kill microbes in the food industry. In addition to non-thermal sterilization, HPEF can also be used for electroporation. Cell electroporation is the application of an electric voltage to the cell. The cells are damaged (broken/porous) without destroying the bioactive components present in the cells. Previous studies have shown that materials treated with HPEF increase the yield when distilled. It can occur due to the electroporation process, namely the breakdown of the oil cell network, so that the distillation process is efficient (can reduce distillation time and increase the quantity of oil). The care box is designed with dimensions of 60cm x 40cm x 30cm which is made of acrylic material. The electrodes used a 60cm x 40cm plate mounted on a linear drive to adjust the treatment distance. HPEF uses a 15kV neon sign transformer. The transformer input frequency setting is set with a dimmer. A microcontroller is installed to adjust the shock period on the electrodes. Based on trials, the device can be used for various solid materials with different volumes.
Preprint Highlight: Age-dependent loss of cohesion protection in human oocytes
Authors: Subramanian Vijayalakshmi V. 
Published: April 2023

Age-dependent loss of cohesion is a determinant of aneuploidy in human oocytes. Mechanisms for how this loss is triggered with age are not known. Using oocytes from human participants of various ages, the authors correlate loss of Sgo2, a protector of cohesins, with age-related meiosis II cohesion defects including increased inter-kinetochore distances and single chromatids. High-resolution microscopy reveals age-dependent loss of Sgo2 specifically from pericentromeric bridges, but not from centromeric regions. This study highlights the role of pericentromeric cohesins in upholding sister-chromatid cohesion, even when centromeric cohesins are protected. This work is relevant to researchers interested in chromosome biology, meiosis, aneuploidy mechanisms, and fertility. This preprint has been assigned the following badges: New Hypothesis. Read the preprint on bioRxiv ( Mihalas et al., 2023 ): https://doi.org/10.1101/2023.01.13.523952 .
Insights from specimen data for two economicChrysobothrisspecies (Coleoptera: Buprestidae) in the western United States
Authors: Rudolph Erica A , Wiman Nik G 
Published: April 2023

AbstractChrysobothris mali Horn and Chrysobothris femorata (Olivier) (Coleoptera: Buprestidae) are wood-boring beetles native to western North America. Both species are highly polyphagous, feeding on a wide range of deciduous trees and shrubs, including fruit and nut trees as well as shade trees grown as nursery stock. Chrysobothris femorata is widely distributed across North America, while C. mali occurs west of the Rocky Mountains. There is a notable lack of basic biological information regarding both species’ phenology and distributions in the Pacific Northwest. To better understand the biology of these economically important insects, seasonal adult collection information, host plant association data, and morphological measurements were collected from preserved specimens residing in 5 major regional arthropod collections. Label information was collected from 661 C. mali and 165 C. femorata specimens. Collection location data were used to create a map of C. femorata and C. mali distributions in the western United States, indicating that C. femorata is significantly less abundant in California, Oregon, and Washington than C. mali. Of the 50 associated plant taxa noted on specimen labels, only 4 associations were shared between the species, potentially indicating host specialization. New reproductive hosts are recorded for C. femorata (2 hosts) and C. mali (3 hosts). Tree species commonly damaged by flatheaded borers in commercial orchards and nurseries were not present in the historical records. The insights gleaned from specimen data allow researchers to better understand the biology and ecology of these understudied, yet economically impactful insects in the western United States.
Network analysis to evaluate complexities in relationships among fermentation variables measured within continuous culture experiments
Authors: Sujani Sathya , White Robin R , Firkins Jeffrey L , Wenner Benjamin A 
Published: April 2023

AbstractThe objective of this study was to leverage a frequentist (ELN) and Bayesian learning (BLN) network analyses to summarize quantitative associations among variables measured in 4 previously published dual-flow continuous culture fermentation experiments. Experiments were originally designed to evaluate effects of nitrate, defaunation, yeast, and/or physiological shifts associated with pH or solids passage rates on rumen conditions. Measurements from these experiments that were used as nodes within the networks included concentrations of individual volatile fatty acids, mM and nitrate, NO3−,%; outflows of non-ammonia nitrogen (NAN, g/d), bacterial N (BN, g/d), residual N (RN, g/d), and ammonia N (NH3-N, mg/dL); degradability of neutral detergent fiber (NDFd, %) and degradability of organic matter (OMd, %); dry matter intake (DMI, kg/d); urea in buffer (%); fluid passage rate (FF, L/d); total protozoa count (PZ, cells/mL); and methane production (CH4, mmol/d). A frequentist network (ELN) derived using a graphical LASSO (least absolute shrinkage and selection operator) technique with tuning parameters selected by Extended Bayesian Information Criteria (EBIC) and a BLN were constructed from these data. The illustrated associations in the ELN were unidirectional yet assisted in identifying prominent relationships within the rumen that were largely consistent with current understanding of fermentation mechanisms. Another advantage of the ELN approach was that it focused on understanding the role of individual nodes within the network. Such understanding may be critical in exploring candidates for biomarkers, indicator variables, model targets, or other measurement-focused explorations. As an example, acetate was highly central in the network suggesting it may be a strong candidate as a rumen biomarker. Alternatively, the major advantage of the BLN was its unique ability to imply causal directionality in relationships. Because the BLN identified directional, cascading relationships, this analytics approach was uniquely suited to exploring the edges within the network as a strategy to direct future work researching mechanisms of fermentation. For example, in the BLN acetate responded to treatment conditions such as the source of N used and the quantity of substrate provided, while acetate drove changes in the protozoal populations, non-NH3-N and residual N flows. In conclusion, the analyses exhibit complementary strengths in supporting inference on the connectedness and directionality of quantitative associations among fermentation variables that may be useful in driving future studies.
A new formulation of screwworm fly attractant with reduced hazardous chemicals and transport restrictions
Authors: Hickner Paul V , Pacheco Lucas , Duke Sara E , Sanchez Ortiz Carlos , Welch John B , Phillips Pamela L , Arp Alex P 
Published: April 2023

Abstract
New World screwworm flies, Cochliomyia hominivorax (Coquerel), are obligate parasites of warm-blooded animals. They were eradicated from North and Central America during the mid-20th to early-21st centuries using the sterile insect technique (SIT), a method presently employed to maintain a permanent barrier between Central and South America. Lures are an important component of the screwworm eradication program, where they are used for surveillance, sample collection, and strain evaluation in the field. The first chemical lure, later named swormlure, was developed based on the attractiveness of C. hominivorax to volatile organic compounds (VOCs) produced from decomposing animal tissues. The formulation has changed little over the years and presently contains 10 chemicals, one of which is dimethyl disulfide (DMDS). Restrictions on the transport of DMDS have recently impeded its use in swormlure-4 (SL-4). However, dimethyl trisulfide (DMTS) is not as highly restricted and can be shipped via air transportation. Both chemicals are produced by microbial decomposition of animal tissues. Here, we conducted field trials using three releases of sterile C. hominivorax, each comprising approximately 93,000 flies, to test the efficacy of SL-4, containing DMDS, to swormlure-5 (SL-5) containing DMTS. Traps baited with SL-4 and SL-5 captured 575 (mean = 191.7, SD 17.9) and 665 (mean = 221.7, SD 33.2) C. hominivorax, respectively (df = 19, F = 1.294, P = 0.269). However, traps baited with SL-5 captured considerably more Cochliomyia macellaria (Fabricius), a closely related but nontarget fly.
Label-free microscopy for virus infections
Authors: Petkidis Anthony , Andriasyan Vardan , Greber Urs F 
Published: April 2023

Abstract
Microscopy has been essential to elucidate micro- and nano-scale processes in space and time and has provided insights into cell and organismic functions. It is widely employed in cell biology, microbiology, physiology, clinical sciences and virology. While label-dependent microscopy, such as fluorescence microscopy, provides molecular specificity, it has remained difficult to multiplex in live samples. In contrast, label-free microscopy reports on overall features of the specimen at minimal perturbation. Here, we discuss modalities of label-free imaging at the molecular, cellular and tissue levels, including transmitted light microscopy, quantitative phase imaging, cryogenic electron microscopy or tomography and atomic force microscopy. We highlight how label-free microscopy is used to probe the structural organization and mechanical properties of viruses, including virus particles and infected cells across a wide range of spatial scales. We discuss the working principles of imaging procedures and analyses and showcase how they open new avenues in virology. Finally, we discuss orthogonal approaches that enhance and complement label-free microscopy techniques.