bluuebunny/crossref_metadata_2025_split huggingface dataset:
Model-independent quantum phases classifier
Authors: Mahlow F. , Luiz F. S. , Malvezzi A. L. , Fanchini F. F. 
Published: September 2023

AbstractMachine learning has transformed science and technology. In this article, we present a model-independent classifier that uses the k-Nearest Neighbors algorithm to classify phases of a model for which it has never been trained. This is done by studying three different spin-1 chains with some common phases: the XXZ chains with uniaxial single-ion-type anisotropy, the bond alternating XXZ chains, and the bilinear biquadratic chain. We show that the algorithm trained with two of these models can, with high probability, determine phases common to the third one. This is the first step towards a universal classifier, where an algorithm can recognize an arbitrary phase without knowing the Hamiltonian, since it knows only partial information about the quantum state.
Effect of antenatal depression on ANC service utilization in northwest Ethiopia
Authors: Beyene Getnet Mihretie , Azale Telake , Gelaye Kassahun Alemu , Ayele Tadesse Awoke 
Published: September 2023

AbstractMaternal morbidity and mortality remain high among women who did not attend antenatal care (ANC). Antenatal care is one of the interventions given to pregnant women to detect existed problems or problems that can develop during pregnancy, which harm the health of pregnant women and fetuses. In Ethiopia, however, there is limited evidence that revealed the effect of antenatal depression on ANC service utilization. Hence, this study aimed to see the effect of antenatal depression on ANC visits among women in urban northwest Ethiopia. A population-based, prospective cohort study was done from June 2019 to March 2020. The Edinburgh postnatal depression scale was administered to 970 women in the second and third trimesters of pregnancy to screen for antenatal depression. Additional data were collected on ANC visits, the mother’s socio-demographic, obstetric, clinical, psychosocial, and behavioral factors. A logistic regression model was used to adjust confounders and determine associations between antenatal depression and inadequate ANC visits. The cumulative incidence of inadequate ANC visits was 62.58% (95% CI: 59.43, 65.63). The cumulative incidence of inadequate ANC visits among depressed pregnant women was 75% as compared to 56% in non-depressed. The incidence of inadequate ANC visits in the exposed group due to antenatal depression was 25.33%. After multivariable analysis, antenatal depression at the second and third trimesters of pregnancy remained a potential predictor of inadequate ANC visits (AOR = 1.96: (95% CI 1.22, 3.16)). In addition, antenatal depression, long travel time for ANC visits (AOR = 1.83 (95% CI 1.166, 2.870)), and late initiation of ANC visits (AOR = 2.20 (95% CI 1.393, 3.471)) were the predictors of inadequate ANC visits as compared to their counterpart. This study suggested that antenatal depression affects ANC visits in Ethiopian urban settings. Therefore, early detecting and treating depression symptoms during the antenatal period reduced significantly the impacts of depression on the health of the mother and fetus.
In vitro synergy screens of FDA-approved drugs reveal novel zidovudine- and azithromycin-based combinations with last-line antibiotics against Klebsiella pneumoniae
Authors: Gómara-Lomero Marta , López-Calleja Ana Isabel , Rezusta Antonio , Aínsa José Antonio , Ramón-García Santiago 
Published: September 2023

AbstractTreatment of infections caused by multi-drug resistant (MDR) enterobacteria remains challenging due to the limited therapeutic options available. Drug repurposing could accelerate the development of new urgently needed successful interventions. This work aimed to identify and characterise novel drug combinations against Klebsiella pneumoniae based on the concepts of synergy and drug repurposing. We first performed a semi-qualitative high-throughput synergy screen (sHTSS) with tigecycline, colistin and fosfomycin (last-line antibiotics against MDR Enterobacteriaceae) against a FDA-library containing 1430 clinically approved drugs; a total of 109 compounds potentiated any of the last-line antibiotics. Selected hits were further validated by secondary checkerboard (CBA) and time-kill (TKA) assays, obtaining 15.09% and 65.85% confirmation rates, respectively. Accordingly, TKA were used for synergy classification based on determination of bactericidal activities at 8, 24 and 48 h, selecting 27 combinations against K. pneumoniae. Among them, zidovudine or azithromycin combinations with last-line antibiotics were further evaluated by TKA against a panel of 12 MDR/XDR K. pneumoniae strains, and their activities confronted with those clinical combinations currently used for MDR enterobacteria treatment; these combinations showed better bactericidal activities than usual treatments without added cytotoxicity. Our studies show that sHTSS paired to TKA are powerful tools for the identification and characterisation of novel synergistic drug combinations against K. pneumoniae. Further pre-clinical studies might support the translational potential of zidovudine- and azithromycin-based combinations for the treatment of these infections.
Continuous assessment of cowpea [Vigna unguiculata L. Walp.] nutritional status using diagnosis and recommendation integrated system approach
Authors: Anago Firmin Nonhouégnon , Agbangba Emile Codjo , Dagbenonbakin Gustave Dieudonné , Amadji Lucien Guillaume 
Published: September 2023

AbstractCowpea is one of the widely cultivated and consumed grain legumes in Africa, but its production is hampered by soil fertility degradation on farms. Here, we assessed the spatial nutritional diagnosis of cowpea and the variability of their productivity using the diagnosis and recommendation integrated system (DRIS) and geostatistics tool. We achieved a sampling of 200 geo-referred points in cowpea farms in four communes of Benin. In addition, we determined grain yield and the content of N, P, K, Ca, Mg, and Zn in the leaves. From DRIS, the order of nutrient deficiency was as follows: P > K > Ca > Zn > N > Mg; P > K > Ca > N > Zn > Mg; N > Mg > Zn > K > P > Ca; P > Ca > K > N > Mg > Zn, at Dassa-Zoume, Glazoue, Ketou, and Ouesse, respectively. Sampling points were close enough to detect the spatial variability of the DRIS Index, mean of nutrient balance index (NBIm), and cowpea productivity (spatial dependence index ˃ 50%). The combined analysis of the cowpea relative yield and NBIm maps showed that the NBIm map effectively indicated the spatial distribution of cowpea productivity. The spatial variability of the DRIS index has provided an accurate guide to where adjustments to fertilization rates are needed.
Fault diagnosis of gearbox based on Fourier Bessel EWT and manifold regularization ELM
Authors: Wang Ke , Qin Fengqing 
Published: September 2023

AbstractThe novel fault diagnosis method of gearbox based on Fourier Bessel series expansion-based empirical wavelet transform (FBEWT) and manifold regularization extreme learning machine (MRELM) is proposed to obtain excellent fault diagnosis results of gearbox in this paper. A new feature extraction strategy based on Fourier Bessel series expansion-based empirical wavelet transform is used to capture the key non-stationary features of the vibrational signal of gearbox, and significantly improve the diagnosis ability of gearbox. The ELM with manifold regularization is proposed for fault diagnosis of gearbox. In order to outstand the superiority and stability of the proposed FBEWT and manifold regularization ELM, the balanced dataset and unbalanced dataset, respectively, are used. The experimental results testify that FBEWT-MRELM are more superior and stable than FBEWT-ELM, EWT-MRELM, and EWT-ELM regardless of balanced dataset and unbalanced dataset.
Assessment of atmospheric emissivity models for clear-sky conditions with reanalysis data
Authors: Morales-Salinas Luis , Ortega-Farias Samuel , Riveros-Burgos Camilo , Chávez José L. , Wang Sufen , Tian Fei , Carrasco-Benavides Marcos , Neira-Román José , López-Olivari Rafael , Fuentes-Jaque Guillermo 
Published: September 2023

AbstractAtmospheric longwave downward radiation (Ld) is one of the significant components of net radiation (Rn), and it drives several essential ecosystem processes.Ldcan be estimated with simple empirical methods using atmospheric emissivity (εa) submodels. In this study, eight global models for εawere evaluated, and the best-performing model was calibrated on a global scale using a parametric instability analysis approach. The climatic data were obtained from a dynamically consistent scale resolution of basic atmospheric quantities and computed parameters known as NCEP/NCAR reanalysis (NNR) data. The performance model was evaluated with monthly average values from the NNR data. The Brutsaert equation demonstrated the best performance, and then it was calibrated. The seasonal global trend of the Brutsaert equation calibrated coefficient ranged between 1.2 and 1.4, and the K-means analysis identified five homogeneous zones (clusters) with similar behavior. Finally, the calibrated Brutsaert equation improved the Rnestimation, with an error reduction, at the worldwide scale, of 64%. Meanwhile, the error reduction for each cluster ranged from 18 to 77%. Hence, Brutsaert’s equation coefficient should not be considered a constant value for use in εaestimation, nor in time or location.
Environmental and economic determinants of temporal dynamics of the ruminant movement network of Senegal
Authors: García García Katherin Michelle , Apolloni Andrea , Giacomini Alessandra , Ciss Mamadou , Fall Mathioro , Marème Gaye Adji , Arsevska Elena , Mesdour Asma , Chevanne Etienne , Rosso Fabrizio , Cardinale Eric , Squarzoni Diaw Cécile , Seck Ismaila , Lo Mbargou , Delabouglise Alexis 
Published: September 2023

AbstractOur understanding of the drivers of the temporal dynamics of livestock mobility networks is currently limited, despite their significant implications for the surveillance and control of infectious diseases. We analyzed the effect of time-varying environmental and economic variables—biomass production, rainfall, livestock market prices, and religious calendar on long-distance movements of cattle and small ruminant herds in Senegal in the years 2014 and 2019. We used principal component analysis to explore the variation of the hypothesized explanatory variables in space and time and a generalized additive modelling approach to assess the effect of those variables on the likelihood of herd movement between pairs of administrative units. Contrary to environmental variables, the patterns of variation of market prices show significant differences across locations. The explanatory variables at origin had the highest contribution to the model deviance reduction. Biomass production and rainfall were found to affect the likelihood of herd movement for both species on at least 1 year. Market price at origin had a strong and consistent effect on the departure of small ruminant herds. Our study shows the potential benefits of regular monitoring of market prices for future efforts at forecasting livestock movements and associated sanitary risks.
Exploring the landscape of dismantling strategies based on the community structure of networks
Authors: Musciotto F. , Miccichè S. 
Published: September 2023

AbstractNetwork dismantling is a relevant research area in network science, gathering attention both from a theoretical and an operational point of view. Here, we propose a general framework for dismantling that prioritizes the removal of nodes that bridge together different network communities. The strategies we detect are not unique, as they depend on the specific realization of the community detection algorithm considered. However, when applying the methodology to some synthetic benchmark and real-world networks we find that the dismantling performances are strongly robust, and do not depend on the specific algorithm. Thus, the stochasticity inherently present in many community detection algorithms allows to identify several strategies that have comparable effectiveness but require the removal of distinct subsets of nodes. This feature is highly relevant in operational contexts in which the removal of nodes is costly and allows to identify the least expensive strategy that still holds high effectiveness.
Enhanced presynaptic mitochondrial energy production is required for memory formation
Authors: Underwood Erica L. , Redell John B. , Hood Kimberly N. , Maynard Mark E. , Hylin Michael , Waxham M. Neal , Zhao Jing , Moore Anthony N. , Dash Pramod K. 
Published: September 2023

AbstractSome of the prominent features of long-term memory formation include protein synthesis, gene expression, enhanced neurotransmitter release, increased excitability, and formation of new synapses. As these processes are critically dependent on mitochondrial function, we hypothesized that increased mitochondrial respiration and dynamics would play a prominent role in memory formation. To address this possibility, we measured mitochondrial oxygen consumption (OCR) in hippocampal tissue punches from trained and untrained animals. Our results show that context fear training significantly increased basal, ATP synthesis-linked, and maximal OCR in the Shaffer collateral-CA1 synaptic region, but not in the CA1 cell body layer. These changes were recapitulated in synaptosomes isolated from the hippocampi of fear-trained animals. As dynamin-related protein 1 (Drp1) plays an important role in mitochondrial fission, we examined its role in the increased mitochondrial respiration observed after fear training. Drp1 inhibitors decreased the training-associated enhancement of OCR and impaired contextual fear memory, but did not alter the number of synaptosomes containing mitochondria. Taken together, our results show context fear training increases presynaptic mitochondria respiration, and that Drp-1 mediated enhanced energy production in CA1 pre-synaptic terminals is necessary for context fear memory that does not result from an increase in the number of synaptosomes containing mitochondria or an increase in mitochondrial mass within the synaptic layer.
Moderate intensity aerobic exercise may enhance neuroplasticity of the contralesional hemisphere after stroke: a randomised controlled study
Authors: Hill Gabrielle , Johnson Finn , Uy Jeric , Serrada Ines , Benyamin Beben , Van Den Berg Maayken , Hordacre Brenton 
Published: September 2023

AbstractUpregulation of neuroplasticity might help maximize stroke recovery. One intervention that appears worthy of investigation is aerobic exercise. This study aimed to determine whether a single bout of moderate intensity aerobic exercise can enhance neuroplasticity in people with stroke. Participants were randomly assigned (1:1) to a 20-min moderate intensity exercise intervention or remained sedentary (control). Transcranial magnetic stimulation measured corticospinal excitability of the contralesional hemisphere by recording motor evoked potentials (MEPs). Intermittent Theta Burst Stimulation (iTBS) was used to repetitively activate synapses in the contralesional primary motor cortex, initiating the early stages of neuroplasticity and increasing excitability. It was surmised that if exercise increased neuroplasticity, there would be a greater facilitation of MEPs following iTBS. Thirty-three people with stroke participated in this study (aged 63.87 ± 10.30 years, 20 male, 6.13 ± 4.33 years since stroke). There was an interaction between Time*Group on MEP amplitudes (P = 0.009). Participants allocated to aerobic exercise had a stronger increase in MEP amplitude following iTBS. A non-significant trend indicated time since stroke might moderate this interaction (P = 0.055). Exploratory analysis suggested participants who were 2–7.5 years post stroke had a strong MEP facilitation following iTBS (P < 0.001). There was no effect of age, sex, resting motor threshold, self-reported physical activity levels, lesion volume or weighted lesion load (all P > 0.208). Moderate intensity cycling may enhance neuroplasticity in people with stroke. This therapy adjuvant could provide opportunities to maximize stroke recovery.
North American wintering mallards infected with highly pathogenic avian influenza show few signs of altered local or migratory movements
Authors: Teitelbaum Claire S. , Masto Nicholas M. , Sullivan Jeffery D. , Keever Allison C. , Poulson Rebecca L. , Carter Deborah L. , Blake-Bradshaw Abigail G. , Highway Cory J. , Feddersen Jamie C. , Hagy Heath M. , Gerhold Richard W. , Cohen Bradley S. , Prosser Diann J. 
Published: September 2023

AbstractAvian influenza viruses pose a threat to wildlife and livestock health. The emergence of highly pathogenic avian influenza (HPAI) in wild birds and poultry in North America in late 2021 was the first such outbreak since 2015 and the largest outbreak in North America to date. Despite its prominence and economic impacts, we know relatively little about how HPAI spreads in wild bird populations. In January 2022, we captured 43 mallards (Anas platyrhynchos) in Tennessee, USA, 11 of which were actively infected with HPAI. These were the first confirmed detections of HPAI H5N1 clade 2.3.4.4b in the Mississippi Flyway. We compared movement patterns of infected and uninfected birds and found no clear differences; infected birds moved just as much during winter, migrated slightly earlier, and migrated similar distances as uninfected birds. Infected mallards also contacted and shared space with uninfected birds while on their wintering grounds, suggesting ongoing transmission of the virus. We found no differences in body condition or survival rates between infected and uninfected birds. Together, these results show that HPAI H5N1 clade 2.3.4.4b infection was unrelated to body condition or movement behavior in mallards infected at this location during winter; if these results are confirmed in other seasons and as HPAI H5N1 continues to evolve, they suggest that these birds could contribute to the maintenance and dispersal of HPAI in North America. Further research on more species across larger geographic areas and multiple seasons would help clarify potential impacts of HPAI on waterfowl and how this emerging disease spreads at continental scales, across species, and potentially between wildlife and domestic animals.
Study on transient photocurrent induced by energy level defect of schottky diode irradiated by high power pulsed laser
Authors: Wang Y. H. , Su J. H. , Wang T. W. , Lei Z. Y. , Chen Z. J. , Shangguan S. P. , Han J. W. , Ma Y. Q. 
Published: September 2023

AbstractThe transient photocurrent is one of the key parameters of the spatial radiation effect of photoelectric devices, and the energy level defect affects the transient photocurrent. In this paper, by studying the deep level transient spectrum of a self-designed Schottky diode, the defect properties of the interface region of the anode metal AlCu and Si caused by high-temperature annealing at 150 ℃, 200 ℃ and 300 ℃ for 1200 h have been quantitatively analyzed. The study shows that the defect is located at the position of + 0.41 eV on the valence band, the concentration is 2.8 $$\times$$
×
1013/cm2, and the capture cross section is $$\sigma$$
σ
= 8.5 $$\times$$
×
1017. The impurity energy level mainly comes from the diffusion of Al atom in anode metal. We found that the defect did not cause the electrical performance degradation and obvious morphology change of the device, but the transient photocurrent increased significantly. The reason is that the high temperature treatment results in a growth in the density of states at the interface between AlCu–Si. The more mismatched dislocations and recombination center increased the reverse current of the heterojunction. The above view is proved by the TCAD simulation test.
Reversible suppression of circadian-driven locomotor rhythms in mice using a gradual fragmentation of the day-night cycle
Authors: Richardson Melissa E. S. , Browne Chérie-Akilah , Mazariegos Citlali I. Huerta 
Published: September 2023

AbstractCircadian rhythms are regulated by molecular clockwork and drive 24-h behaviors such as locomotor activity, which can be rendered non-functional through genetic knockouts of clock genes. Circadian rhythms are robust in constant darkness (DD) but are modulated to become exactly 24 h by the external day-night cycle. Whether ill-timed light and dark exposure can render circadian behaviors non-functional to the extent of genetic knockouts is less clear. In this study, we discovered an environmental approach that led to a reduction or lack in rhythmic 24-h-circadian wheel-running locomotor behavior in mice (referred to as arrhythmicity). We first observed behavioral circadian arrhythmicity when mice were gradually exposed to a previously published disruptive environment called the fragmented day-night cycle (FDN-G), while maintaining activity alignment with the four dispersed fragments of darkness. Remarkably, upon exposure to constant darkness (DD) or constant light (LL), FDN-G mice lost any resemblance to the FDN-G-only phenotype and instead, exhibited sporadic activity bursts. Circadian rhythms are maintained in control mice with sudden FDN exposure (FDN-S) and fully restored in FDN-G mice either spontaneously in DD or after 12 h:12 h light–dark exposure. This is the first study to generate a light–dark environment that induces reversible suppression of circadian locomotor rhythms in mice.
Multispectral in-line hologram reconstruction with aberration compensation applied to Gram-stained bacteria microscopy
Authors: Brault Dylan , Olivier Thomas , Faure Nicolas , Dixneuf Sophie , Kolytcheff Chloé , Charmette Elodie , Soulez Ferréol , Fournier Corinne 
Published: September 2023

AbstractIn multispectral digital in-line holographic microscopy (DIHM), aberrations of the optical system affect the repeatability of the reconstruction of transmittance, phase and morphology of the objects of interest. Here we address this issue first by model fitting calibration using transparent beads inserted in the sample. This step estimates the aberrations of the optical system as a function of the lateral position in the field of view and at each wavelength. Second, we use a regularized inverse problem approach (IPA) to reconstruct the transmittance and phase of objects of interest. Our method accounts for shift-variant chromatic and geometrical aberrations in the forward model. The multi-wavelength holograms are jointly reconstructed by favouring the colocalization of the object edges. The method is applied to the case of bacteria imaging in Gram-stained blood smears. It shows our methodology evaluates aberrations with good repeatability. This improves the repeatability of the reconstructions and delivers more contrasted spectral signatures in transmittance and phase, which could benefit applications of microscopy, such as the analysis and classification of stained bacteria.