bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of different pilot point parameterization strategies when measurements are unevenly distributed in space
Authors: Aissat Ryma , Pryet Alexandre , Saltel Marc , Dupuy Alain 
Published: November 2023

AbstractThe parameterization of spatially distributed hydraulic properties is one of the most crucial steps in groundwater modeling. A common approach is to estimate hydraulic properties at a set of pilot points and interpolate the values at each model cell. Despite the popularity of this method, several questions remain about the optimum number and distribution of pilot points, which are determining factors for the efficiency of the method. This study proposes a strategy for optimal pilot point parameterization that minimizes the number of parameters while maximizing the assimilation of an observed dataset unevenly distributed in space. The performance of different pilot point distributions has been compared with a synthetic groundwater model, considering regular grids of pilot points with different spacings and adaptive grids with different refinement criteria. This work considered both prior and iterative refinements, with a parameter estimation step between successive refinements. The parameter estimation was conducted with the Gauss–Levenberg–Marquardt algorithm, and the strategies were ranked according to the number of model calls to reach the target objective function. The strategy leading to the best fit with the measurement dataset at the minimum computational burden is an adaptive grid of pilot points with prior refinement based on measurement density. This strategy was successfully implemented on a regional, multilayered groundwater flow model in the south-western geological basin of France.
Climate change-related health hazards in daycare centers in Munich, Germany: risk perception and adaptation measures
Authors: Lehmann Hannah , Bose-O’Reilly Stephan , Schoierer Julia , Garschagen Matthias 
Published: November 2023

AbstractDue to their vulnerability, children need special protection from health effects of climate change, which are already noticeable today. Since a large proportion of children in Germany are in non-parental care during the day, the pedagogical staff in daycare centers play a crucial role in protecting children’s health. For this reason, a quantitative online survey was conducted among pedagogical staff (n = 181) in daycare centers of one provider in Munich, where children aged nine weeks to 10 years are cared for. It was examined how the pedagogical staff assesses the risk of climate change-related health hazards on children’s health and on its own health at work today and in the next 10 years. Additionally, it was surveyed whether or which measures for (health-related) adaptation to climate change and long-term climate change mitigation in the form of education for sustainable development (ESD) are implemented in the daycare centers. The results were statistically analyzed both descriptively and with multiple linear regression analyses to test the assumed associations. The results show that despite the strong perception of climate change-related health risks, their implementation in corresponding protection and adaptation measures is insufficient in most of the daycare centers surveyed. The informedness of the pedagogical staff proved to be a decisive influencing factor in the implementation of measures. Therefore, in addition to stronger implementation of structural adaptation measures in daycare centers, target group-specific knowledge and instructions for action should also be increasingly conveyed in the training curricula and further education of pedagogical staff.
How can health technology assessment be improved to optimise access to medicines? Results from a Delphi study in Europe
Authors: Fontrier Anna-Maria , Kamphuis Bregtje , Kanavos Panos 
Published: November 2023

Abstract
Introduction
Access to medicines is a shared goal across healthcare stakeholders. Since health technology assessment (HTA) informs funding decisions, it shapes access to medicines. Despite its wide implementation, significant access variations due to HTA are observed across Europe. This paper elicited the opinions of European stakeholders on how HTA can be improved to facilitate access.

Methods
A scoping review identified HTA features that influence access to medicines within markets and areas for improvement, while three access dimensions were identified (availability, affordability, timeliness). Using the Delphi method, we elicited the opinions of European stakeholders to validate the literature findings.

Results
Nineteen participants from 14 countries participated in the Delphi panel. Thirteen HTA features that could be improved to optimise access to medicines in Europe were identified. Of these, 11 recorded a positive impact on at least one of the three access dimensions. HTA features had mostly a positive impact on timeliness and a less clear impact on affordability. ‘Early scientific advice’ and ‘clarity in evidentiary requirements’ showed a positive impact on all access dimensions. 'Established ways to deal with uncertainty during HTA’ could improve medicines’ availability and timeliness, while more ‘reliance on real-world evidence’ could expedite time to market access.

Conclusions
Our results reiterate that increased transparency during HTA and the decision-making processes is essential; the use of and reliance on new evidence generation such as real-world evidence can optimise the availability of medicines; and better collaborations between regulatory institutions within and between countries are paramount for better access to medicines.
Forecasting carrot yield with optimal timing of Sentinel 2 image acquisition
Authors: Suarez L. A. , Robertson-Dean M. , Brinkhoff J. , Robson A. 
Published: November 2023

AbstractAccurate, non-destructive forecasting of carrot yield is difficult due to its subterranean growing habit. Furthermore, the timing of forecasting usually occurs when the crop is mature, limiting the opportunity to implement alternative management decisions to improve yield (during the growing season). This study aims to improve the accuracy of carrot yield forecasting by exploring time series and multivariate approaches. Using Sentinel-2 satellite imagery in three Australian vegetable regions, we established a time series of carrot phenological stages (PhS) from ‘days after sowing’ (DAS) to enhance prediction timing. Numerous vegetation indices (VIs) were analyzed to derive temporal growth patterns. Correlations with yield at different PhS were established. Although the average root yield (t ha−1) did not significantly differ across the regions, the temporal VI signatures, indicating different regional crop growth trends, did vary as well as the PhS at when the maximum correlation with yield occurred ($$PhS_{{R2_{max} }} )$$

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h

S

R

2

max

)

with two of the regions producing a delayed $$PhS_{{R2_{max} }}$$

P
h

S

R

2

max

(i.e. 90–130 DAS). The best multivariate model was identified at 70 DAS, extending the forecasting window before harvest between 20 to 60 days. The performance of this model was validated with new crops producing an average error of 16.9 t ha−1 (27% of total yield). These results demonstrate the potential of the model at such early stage under varying growing conditions offering growers and stakeholders the chance to optimize farming practices, make informed decisions on selling, harvesting, and labor planning, and adopt precision agriculture methods.
Brain metabolite levels in remitted psychotic depression with consideration of effects of antipsychotic medication
Authors: Tani Hideaki , Moxon-Emre Iska , Forde Natalie J. , Neufeld Nicholas H. , Bingham Kathleen S. , Whyte Ellen M. , Meyers Barnett S. , Alexopoulos George S. , Hoptman Matthew J. , Rothschild Anthony J. , Uchida Hiroyuki , Flint Alastair J. , Mulsant Benoit H. , Voineskos Aristotle N. 
Published: November 2023

Abstract
Background
The neurobiology of psychotic depression is not well understood and can be confounded by antipsychotics. Magnetic resonance spectroscopy (MRS) is an ideal tool to measure brain metabolites non-invasively. We cross-sectionally assessed brain metabolites in patients with remitted psychotic depression and controls. We also longitudinally assessed the effects of olanzapine versus placebo on brain metabolites.

Methods
Following remission, patients with psychotic depression were randomized to continue sertraline + olanzapine (n = 15) or switched to sertraline + placebo (n = 18), at which point they completed an MRS scan. Patients completed a second scan either 36 weeks later, relapse, or discontinuation. Where water-scaled metabolite levels were obtained and a Point-RESolved Spectroscopy sequence was utilized, choline, myo-inositol, glutamate + glutamine (Glx), N-acetylaspartate, and creatine were measured in the left dorsolateral prefrontal cortex (L-DLPFC) and dorsal anterior cingulate cortex (dACC). An ANCOVA was used to compare metabolites between patients (n = 40) and controls (n = 46). A linear mixed-model was used to compare olanzapine versus placebo groups.

Results
Cross-sectionally, patients (compared to controls) had higher myo-inositol (standardized mean difference [SMD] = 0.84; 95%CI = 0.25–1.44; p = 0.005) in the dACC but not different Glx, choline, N-acetylaspartate, and creatine. Longitudinally, patients randomized to placebo (compared to olanzapine) showed a significantly greater change with a reduction of creatine (SMD = 1.51; 95%CI = 0.71–2.31; p = 0.0002) in the dACC but not glutamate + glutamine, choline, myo-inositol, and N-acetylaspartate.

Conclusions
Patients with remitted psychotic depression have higher myo-inositol than controls. Olanzapine may maintain creatine levels. Future studies are needed to further disentangle the mechanisms of action of olanzapine.
Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review
Authors: Young Lindsay E. , Nan Yuanfeixue , Jang Eugene , Stevens Robin 
Published: November 2023

Abstract
Purpose of Review
The purpose of this scoping review was to summarize literature regarding the use of user-generated digital data collected for non-epidemiological purposes in human immunodeficiency virus (HIV) research.

Recent Findings
Thirty-nine papers were included in the final review. Four types of digital data were used: social media data, web search queries, mobile phone data, and data from global positioning system (GPS) devices. With these data, four HIV epidemiological objectives were pursued, including disease surveillance, behavioral surveillance, assessment of public attention to HIV, and characterization of risk contexts. Approximately one-third used machine learning for classification, prediction, or topic modeling. Less than a quarter discussed the ethics of using user-generated data for epidemiological purposes.

Summary
User-generated digital data can be used to monitor, predict, and contextualize HIV risk and can help disrupt trajectories of risk closer to onset. However, more attention needs to be paid to digital ethics and the direction of the field in a post-Application Programming Interface (API) world.
Chemical shift assignments of the catalytic domain of Staphylococcus aureus LytM
Authors: Tossavainen Helena , Pitkänen Ilona , Antenucci Lina , Thapa Chandan , Permi Perttu 
Published: November 2023

AbstractS. aureus resistance to antibiotics has increased rapidly. MRSA strains can simultaneously be resistant to many different classes of antibiotics, including the so-called “last-resort” drugs. Resistance complicates treatment, increases mortality and substantially increases the cost of treatment. The need for new drugs against (multi)resistant S. aureus is high. M23B family peptidoglycan hydrolases, enzymes that can kill S. aureus by cleaving glycine-glycine peptide bonds in S. aureus cell wall are attractive targets for drug development because of their binding specificity and lytic activity. M23B enzymes lysostaphin, LytU and LytM have closely similar catalytic domain structures. They however differ in their lytic activities, which can arise from non-conserved residues in the catalytic groove and surrounding loops or differences in dynamics. We report here the near complete 1H/13C/15N resonance assignment of the catalytic domain of LytM, residues 185–316. The chemical shift data allow comparative structural and functional studies between the enzymes and is essential for understanding how these hydrolases degrade the cell wall.
Carbon Dioxide and Nitrous Oxide Emissions from a Typical Sugarcane Soil in the Cauca River Valley, Colombia
Authors: Valencia-Molina Manuel C. , Chalco Vera Jorge , Loaiza Sandra , Trujillo Catalina , Munera Bryan , Castro-Franco Mauricio , Silva-Parra Amanda , Chirinda Ngonidzashe , Muñoz-Arboleda Fernando 
Published: November 2023

AbstractSugarcane is an important crop for tropical countries and to accurately inventory its greenhouse gas (GHG) emissions baseline measurements are needed. In Colombia, sugarcane is one of the most important crops in terms of cultivated area and, paradoxically, scientific information reporting GHG emissions based on field measurements is almost nonexistent. The objective of this work was to quantify the direct emissions of carbon dioxide (CO2) and nitrous oxide (N2O) in the sugarcane-soil system of the Cauca river valley, Colombia. For this purpose, a field experiment was established in a typic haplustert soil cropped with sugarcane. The effects of nitrogen (N) fertilization and sampling site on its GHG emissions were tested using the closed static chamber method over a period of 211 days. The main cumulative emissions were 765.14 ± 34.1 g CO2–C m−2 and 125.4 ± 22.6 mg N2O–N m−2. Overall, GHG emissions were modified by N fertilization, the sampling site, and their interaction. Nitrogen fertilization with urea increased mean and cumulative CO2 and N2O emissions, especially at the row sampling site. This paper highlights the importance of considering these factors when the quantification of GHGs or a reduction of their associated uncertainties are required. This work reportss the first GHG emissions data for a typical sugarcane agroecosystem in Colombia.
Green synthesis of AgCoFe2O4@Ch/AC as a recyclable, magnetic nanohybrid heterogeneous catalyst in photodegradation of ceftriaxone from aqueous solutions with effluent bioassay
Authors: Amiri Fard Mohammad Hossein , Nasiri Alireza , Daraei Hasti 
Published: November 2023

AbstractCeftriaxone (CFTR) is among the most commonly used antibiotics in the treatment of different types of bacterial infections and widespread pneumonias. It was also known as one of the most frequently prescribed antibiotics during the Corona pandemic. This drug has a longer half-life than other antibiotics. In this research, the heterogeneous magnetic nanophotocatalyst AgCoFe2O4@Chitosan(Ch)/activated carbon (AC) was synthesized by co-precipitation method under microwave waves. The catalyst structure was characterized by XRD, FTIR, FESEM, EDS, mapping, line scan, BET, VSM and DRS analyzers. Then, the effect of pH, CFTR concentration, nanophotocatalyst dose and irradiation time on the photocatalytic process efficiency was investigated. The analyses showed that the catalyst was synthesized on a nanometer scale, high surface area (60.044 m2/g), high magnetic strength (Ms = 10.39 emu/g) and appropriate optical activity with band gap (3.1 eV). The highest removal efficiency at pH = 3, CFTR concentration of 5 mg/L, dose of 0.24 g/L, and irradiation time of 60 min was obtained at 98.8% and 79.01% for synthetic and real wastewater samples, respectively. The reaction kinetics followed the pseudo-first-order and Langmuir–Hinshelwood kinetic models with KC = 0.23 mg/L min and KL−H = 0.168 L/mg. The recovered catalyst was able to remove CFTR with an efficiency of 80.16% after 4 reuse cycles. The results of scavenger radical tests showed that the main active radical species was $$^{ \cdot } {\text{OH}}$$

·

OH

. The obtained results from the effluent toxicity on the germination index of lettuce, watercress, radish and tomato seeds showed a significant reduction in the environmental hazards of the effluent. Due to the high efficiency, this nanophotocatalyst can be used for the treatment of pharmaceutical and hospital wastewaters, and the effluent has the least toxicity for the environment.
Limited protection of pneumococcal vaccines against emergent Streptococcus pneumoniae serotype 14/ST876 strains
Authors: Lan Yinle , Liu Lin , Hu Dongping , Ge Lihong , Xiang Xi , Peng Minfei , Fu Ying , Wang Yanfei , Li Shuxian , Chen Yan , Jiang Yan , Tu Yuexing , Vidal Jorge E. , Yu Yunsong , Chen Zhimin , Wu Xueqing 
Published: November 2023

Abstract
Purpose
Streptococcus pneumoniae (Spn) is a major cause of child death. We investigated the epidemiology of S. pneumoniae in a pediatric fever clinic and explored the genomics basis of the limited vaccine response of serotype 14 strains worldwide.

Methods
Febrile disease and pneumonia were diagnosed following criteria from the WHO at the end of 2019 at a tertiary children’s hospital. Spn was isolated by culture from nasopharyngeal (NP) swabs. The density was determined by lytA-base qPCR. Isolates were serotyped by Quellung and underwent antimicrobial susceptibility testing. Whole-genome sequencing was employed for molecular serotyping, MLST, antibiotic gene determination, SNP calling, recombination prediction, and phylogenetic analysis.

Results
The presence of pneumococcus in the nasopharynx (87.5%, 7/8, p = 0.0227) and a high carriage (100%, 7/7, p = 0.0123) were significantly associated with pneumonia development. Living with siblings (73.7%, 14/19, p = 0.0125) and non-vaccination (56.0%, 28/50, p = 0.0377) contributed significantly to the Spn carriage. Serotype 14 was the most prevalent strain (16.67%, 5/30). The genome analysis of 1497 serotype 14 strains indicated S14/ST876 strains were only prevalent in China, presented limited vaccine responses with higher recombination activities within its cps locus, and unique variation patterns in the genes wzg and lrp.

Conclusion
With the lifting of the one-child policy, it will be crucial for families with multiple children to get PCV vaccinations in China. Due to the highly variant cps locus and distinctive variation patterns in capsule shedding and binding proteins genes, the prevalent S14/ST876 strains have shown poor response to current vaccines. It is necessary to continue monitoring the molecular epidemiology of this vaccine escape clone.
Efficient Feature Selection in High Dimensional Data Based on Enhanced Binary Chimp Optimization Algorithms and Machine Learning
Authors: Ayeche Farid , Alti Adel 
Published: November 2023

AbstractFeature selection with the highest performance accuracy is the biggest win for multidimensional data. The Chimpanzee Optimization Algorithm (ChOA) serves as a crucial technique for dealing with multidimensional global optimization issues. However, ChOA often lacks fast convergence and good selection of sensitive attributes leading to poor performance. To address these issues, most significant features were selected using two variants of ChOA called BChimp1 and BChimp2 (BChimp1 and BChimp are available at : https://www.mathworks.com/matlabcentral/fileexchange/133267-binary-chimpoptimization-algorithm-forfeatures-selection. September 22, 202). BChimp1 selects the optimal solution from the four best possible solutions and it applies a stochastic crossover on four moving solutions to deeply speed-up convergence level. BChimp2 uses the sigmoid function to select the significant features. Then, these features were trained using six-well known classifiers. The proposed techniques tend to select the most significant features, speed up the convergence rate and decrease training time for high-dimensional data. 23 standard datasets with six well-known classifiers were employed to assess the performance of BChimp1 and BChimp2. Experimental results validate the efficiency of BChimp1 and BChimp2 in enhancing accuracy by 83.83% and 82.02%, and reducing dimensionality by 42.77% and 72.54%, respectively. However, time-evaluation results of BChimp1 and BChimp2 in all datasets showed fast convergence and surpassed current optimization algorithms such as PSO, GWA, GOA, and GA.
Polycentricity measurement of China’s urban agglomerations considering internal and external connections
Authors: Wang Yao , Niu Xinyi 
Published: November 2023

AbstractThis paper uses Baidu migration data to obtain the intercity trips between cities in China. Taking intercity travel as a functional connection between cities, taking into account the internal and external intercity travel connections of urban agglomerations, an improved rank scale distribution method was used to quantitatively measure the form and function of the Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, middle reaches of the Yangtze River, Chengdu-Chongqing, Central Plains, Guanzhong, and Harbin-Changchun urban agglomerations. It is found that, firstly, there are differences in the Functional Polycentricity presented by the internal and external connections of urban agglomerations, which are related to the economic development of urban agglomerations and central cities. Secondly, there are differences between Morphological Polycentricity and Functional Polycentricity of the eight urban agglomerations measured by the internal and external connections, indicating that the external connections have a significant impact. The internal and external connections of urban agglomerations are important functional connections of urban agglomerations. The study of urban agglomerations should not ignore the internal or external connections, and the overall consideration can more comprehensively reflect the polycentric characteristics of urban agglomerations. The internal and external connections of urban agglomerations are important functional connections, and the study of urban agglomerations should not ignore internal or external connections. Overall consideration can better reflect the polycentirccharacteristics of urban agglomerations.
Azobenzene-based optoelectronic transistors for neurohybrid building blocks
Authors: Corrado Federica , Bruno Ugo , Prato Mirko , Carella Antonio , Criscuolo Valeria , Massaro Arianna , Pavone Michele , Muñoz-García Ana B. , Forti Stiven , Coletti Camilla , Bettucci Ottavia , Santoro Francesca 
Published: November 2023

AbstractExploiting the light–matter interplay to realize advanced light responsive multimodal platforms is an emerging strategy to engineer bioinspired systems such as optoelectronic synaptic devices. However, existing neuroinspired optoelectronic devices rely on complex processing of hybrid materials which often do not exhibit the required features for biological interfacing such as biocompatibility and low Young’s modulus. Recently, organic photoelectrochemical transistors (OPECTs) have paved the way towards multimodal devices that can better couple to biological systems benefiting from the characteristics of conjugated polymers. Neurohybrid OPECTs can be designed to optimally interface neuronal systems while resembling typical plasticity-driven processes to create more sophisticated integrated architectures between neuron and neuromorphic ends. Here, an innovative photo-switchable PEDOT:PSS was synthesized and successfully integrated into an OPECT. The OPECT device uses an azobenzene-based organic neuro-hybrid building block to mimic the retina’s structure exhibiting the capability to emulate visual pathways. Moreover, dually operating the device with opto- and electrical functions, a light-dependent conditioning and extinction processes were achieved faithful mimicking synaptic neural functions such as short- and long-term plasticity.