bluuebunny/crossref_metadata_2025_split huggingface dataset:
Empowering episodic memory through a model-based egocentric navigational training
Authors: Fragueiro Agustina , Tosoni Annalisa , Di Matteo Rosalia , Committeri Giorgia 
Published: December 2022

AbstractRecent works have proposed that spatial mechanisms in the hippocampal–entorhinal system might have originally developed to represent distances and positions in the physical space and successively evolved to represent experience and memory in the mental space (Bellmund et al. 2018; Bottini and Doeller 2020). Within this phylogenetic continuity hypothesis (Buzsáki and Moser 2013), mechanisms supporting episodic and semantic memory would have evolved from egocentric and allocentric spatial navigation mechanisms, respectively. Recent studies have described a specific relationship between human performance in egocentric navigation and episodic memory (Committeri et al. 2020; Fragueiro et al. 2021), representing the first behavioral support to this hypothesis. Here, we tested the causal relationship among egocentric navigation and both episodic and semantic components of declarative memory. We conducted two experiments on healthy young adults: in the first experiment, participants were submitted to a navigational training based on path integration, while in the second experiment, participants completed a control training based on visual–perceptual learning. Performance in a set of memory tasks assessing episodic, semantic and short-term memory was compared among the pre- vs. post-training sessions. The results indicated a significant improvement of the episodic memory but not of the semantic or the short-term memory performance following the navigational training. In addition, no modulations of performance across the three memory tasks were observed following the control perceptual training. Our findings provide brand-new evidence of a potential causal association between mechanisms of egocentric navigation and episodic memory, thereby further supporting the phylogenetic continuity hypothesis between navigation and memory mechanisms as well as offering new insights about possible clinical applications of navigational trainings for memory functions/dysfunctions.
Laparoscopic cytoreductive surgery and hyperthermic intraperitoneal chemotherapy: a prospective clinical trial and comparative analysis
Authors: Cho Chae Yun , Veerapong Jula , Baumgartner Joel M. , Murphy James D. , Lowy Andrew M. , Kelly Kaitlyn J. 
Published: December 2022

Abstract
Background
Open cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) is associated with high morbidity, which limits the degree to which patients may benefit from this therapy. This study aimed to determine the feasibility of laparoscopic CRS/HIPEC.

Methods
This was a single institution prospective clinical trial and comparative study using historical controls. Patients with histologically confirmed peritoneal surface malignancy (PSM) of appendiceal, colorectal, ovarian, or primary peritoneal origin, peritoneal carcinomatosis index (PCI) $$\le$$
≤
10 were eligible.

Results
Clinical trial: 18 patients (median age 57 years, 39% female) with appendiceal (15) or colorectal (3) primary PSM underwent laparoscopic CRS/HIPEC. Median and range outcomes were: operative time 219 min (134–378), EBL 10 mL (0–100), time to return to bowel function 3 days (1–7), duration IV narcotic use 3 days (1–8), length of stay 6 days (3–11). All patients had a complete cytoreduction (CC-score 0). Three (17%) experienced minor morbidity, with no major morbidity or mortality. Median DFS and OS were not reached with median follow-up of 48 months. Comparative analysis: Laparoscopic approach associated with reduced time to return of bowel function (3 versus 4 days, p = 0.001), length of stay (8 versus 5 days, p < 0.001), and morbidity (16% versus 42%, p = 0.008). Independent predictors of DFS included prior chemotherapy (HR 5.07, 95% CI 1.85, 13.89; p = 0.002), and CC-score > 0 (HR 3.31, 95% CI 1.19, 9.41; p = 0.025), but not surgical approach. CC-score > 0 was the only independent predictor of OS (HR 10.12, 95% CI 2.16, 47.30, p = 0.003).

Conclusions and relevance
Laparoscopic CRS/HIPEC should be considered for patients with PSM with low-volume disease, including those with adenocarcinoma histology.

Trial registration
Clinicaltrials.gov; NCT02463877.
Studies on the binding of CO to low-spin [Fe(II)(Por)L2] complexes: an aid to understanding the binding of CO to haemoglobin and myoglobin
Authors: Silver Jack , al-Jaff Golzar , Taies Jehad A. , Wilson Michael T. , den Engelsen Daniel , Fern George R. , Ireland Terry G. 
Published: December 2022

AbstractThe visible and Mössbauer spectra of [Fe(II)(Por)L2] and [Fe(II)(Por)L(CO)] complexes (where Por = protoporphyrin IX (PPIX) or tetra(p-sulfophenyl)porphyrin (TPPS) and L = an aliphatic or aromatic nitrogenous base) are reported and discussed. The results are compared to those of previously reported [Fe(II)(Por)L(CO)] complexes (where Por = PPIX, TPPS, PMXPP, TPP, OMTBP and OEP; L = a nitrogenous aromatic ligand) and HbCO (where Hb = haemoglobin) and MyCO (where My = myoglobin). A new approach, to extracting information from the Mössbauer parameters has been developed by plotting those of the [Fe(II)(Por)L2] complexes against those of [Fe(II)(Por)L(CO)] complexes for the same ligands, has yielded a series of trend lines that show a significant dependence on both the nature of the porphyrin and also of the nitrogenous ligand. Different trend lines were found for aromatic nitrogenous ligands to aliphatic nitrogenous ligands showing that the porphyrins could donate different amounts of charge to the Fe(II) cations as the L ligand changed, and hence, they display electron sink properties. From the plots, it was shown that haemoglobin and myoglobin both bind CO very strongly compared to the model complexes studied herein. Using the reported structural and Mössbauer data for the [Fe(II)(Por)L2] and [Fe(II)(Por)L(CO)] complexes, it proved possible and instructive to plot the Mössbauer parameters against a number of the bond lengths around the Fe(II) cations. The interpretation of the resulting trend lines both supported and facilitated the extension of our findings enabling further understanding of the geometry of the bonding in CO haemoglobin and CO myoglobin.
Graphical abstract
On Unique Continuation for Non-local Dispersive Models
Authors: Linares Felipe , Ponce Gustavo 
Published: December 2022

AbstractWe consider unique continuation properties of solutions to a family of evolution equations. Our interest is mainly on nonlinear non-local models. This class contains the Benjamin–Ono, the Intermediate Long Wave, the Camassa–Holm, the dispersion generalized Benjamin–Ono and non-local Schrödinger equations as well as their generalizations. We shall review, discuss, expand, and comment on several results. In addition, we shall state some open questions concerning these results and their techniques.
NMR spectroscopy of dissolved organic matter: a review
Authors: Mitschke N. , Vemulapalli S. P. B. , Dittmar T. 
Published: December 2022

AbstractThe presence of liquid water makes our planet habitable. Water in soils, sediments, lakes, rivers and the ocean forms the largest habitat for life on Earth. During life and upon death, all organisms release dissolved organic matter (DOM) to their environment. These molecular traces of life travel with water through land- and seascapes. DOM in the ocean and freshwaters contains more carbon than all living biomass on Earth combined. An in-depth knowledge of the molecular composition of the DOM pool is crucial to understand its role in the global carbon cycle. DOM is one of the most diverse mixtures known. So far, only the structure of a few components has been elucidated, thus, its molecular composition remains largely unknown. NMR spectroscopy is a promising tool for the molecular-level characterization of complex mixtures such as DOM. Major drawbacks of this spectroscopic technique in the past were the lack of sensitivity and insufficient spectral resolution. Large amounts of DOM were required and overlapping signals of the manifold DOM constituents resulted in broad unresolved spectral features. Recent technical and methodical improvements, the application of multivariate statistical analyses and the development of new chemical derivatization strategies may overcome these limitations. Here, we review the application of NMR spectroscopy within the quickly emerging field of the structural characterization of marine DOM. In the first section, this review covers fundamental aspects of NMR spectroscopy and its application to the analysis of DOM. The major points in the following are (1) a comprehensive overview of the current state of NMR spectroscopy for the analysis of marine DOM, (2) a discussion of the most important technical and methodical improvements and (3) suggestions for future implementations of NMR for the characterization of DOM. This review provides an overview for experts but also serves as a starting point for beginners.
Long-term memory for spatial frequency: a non-replication
Authors: Sacripante Riccardo , Della Sala Sergio , Logie Robert H. 
Published: December 2022

AbstractReports on stability of spatial frequency in short-term memory span have confirmed low-level perceptual memory mechanism in early visual processing. However, some studies have also claimed evidence for high-fidelity perceptual long-term storage of spatial frequency. We report an attempted replication of Magnussen et al. (Psychol Sci 14:74–76, 2003) where participants were asked to discriminate the spatial frequency of a reference grating from a test stimulus after intervals of 5 s or 24 h. Group thresholds after 24 h were significantly higher than after 5 s, therefore failing to support long-term storage of spatial frequency.
Keeping thinning-derived deadwood logs on forest floor improves soil organic carbon, microbial biomass, and enzyme activity in a temperate spruce forest
Authors: Nazari Meisam , Pausch Johanna , Bickel Samuel , Bilyera Nataliya , Rashtbari Mehdi , Razavi Bahar S. , Zamanian Kazem , Sharififar Amin , Shi Lingling , Dippold Michaela A. , Zarebanadkouki Mohsen 
Published: December 2022

AbstractDeadwood is a key component of forest ecosystems, but there is limited information on how it influences forest soils. Moreover, studies on the effect of thinning-derived deadwood logs on forest soil properties are lacking. This study aimed to investigate the impact of thinning-derived deadwood logs on the soil chemical and microbial properties of a managed spruce forest on a loamy sand Podzol in Bavaria, Germany, after about 15 years. Deadwood increased the soil organic carbon contents by 59% and 56% at 0–4 cm and 8–12 cm depths, respectively. Under deadwood, the soil dissolved organic carbon and carbon to nitrogen ratio increased by 66% and 15% at 0–4 cm depth and by 55% and 28% at 8–12 cm depth, respectively. Deadwood also induced 71% and 92% higher microbial biomass carbon, 106% and 125% higher microbial biomass nitrogen, and 136% and 44% higher β-glucosidase activity in the soil at 0–4 cm and 8–12 cm depths, respectively. Many of the measured variables significantly correlated with soil organic carbon suggesting that deadwood modified the soil biochemical processes by altering soil carbon storage. Our results indicate the potential of thinned spruce deadwood logs to sequester carbon and improve the fertility of Podzol soils. This could be associated with the slow decay rate of spruce deadwood logs and low biological activity of Podzols that promote the accumulation of soil carbon. We propose that leaving thinning-derived deadwood on the forest floor can support soil and forest sustainability as well as carbon sequestration.
Approximation of functions from Korobov spaces by deep convolutional neural networks
Authors: Mao Tong , Zhou Ding-Xuan 
Published: December 2022

AbstractThe efficiency of deep convolutional neural networks (DCNNs) has been demonstrated empirically in many practical applications. In this paper, we establish a theory for approximating functions from Korobov spaces by DCNNs. It verifies rigorously the efficiency of DCNNs in approximating functions of many variables with some variable structures and their abilities in overcoming the curse of dimensionality.
Water sorption in wood cell walls–data exploration of the influential physicochemical characteristics
Authors: Fredriksson Maria , Rüggeberg Markus , Nord-Larsen Thomas , Beck Greeley , Thybring Emil Engelund 
Published: December 2022

AbstractThe material properties of wood are intimately tied to the amount of moisture contained in the wood cell walls. The moisture content depends on the environmental conditions, i.e. temperature and relative humidity, but also on material characteristics of the wood itself. The exact mechanisms governing moisture equilibrium between wood cell walls and environmental conditions remain obscure, likely because multiple material characteristics have been proposed to be involved. In this study, we used a data exploration approach to illuminate the important wood characteristics determining the cell wall moisture content in the full moisture range. Specimens of nine different wood species (two softwoods and seven hardwoods) were examined in terms of their material characteristics at multiple scales and their cell wall moisture content was measured in equilibrium with both hygroscopic conditions and at water-saturation. By statistical analysis, the chemical composition was found to be the most important predictor of the cell wall moisture content in the full moisture range. For the other wood characteristics the importance differed between the low moisture range and the humid and saturated conditions. In the low moisture range, the cellulose crystallinity and hydroxyl accessibility were found to be important predictors, while at high moisture contents the microfibril orientation in the S1 and S3 layers of the cell walls was important. Overall, the results highlighted that no single wood characteristic were decisive for the cell wall moisture content, and each of the predictors identified by the analysis had only a small effect in themselves on the cell wall moisture content. Wood characteristics with a major effect on the cell wall moisture content were, therefore, not identified..
YouBelong Home: A Ugandan Community Mental Health Intervention
Authors: Cappo D. , Mutamba B. , Ayesiga K. , Kebirungi E. , Chelangat D. , Fegan G. , Jacob S.T. , Nsangi E. , Ntabazi I. , Nalubwama D. , Nakasujja N. , Odoki E. , Odoi P. , Mpairwe I. , Verity F. 
Published: December 2022

AbstractIn Uganda, low resources for mental health provision combine with disadvantage and inadequate supports for family and community-based care. Catalysed by the need to reduce overcrowded psychiatric hospital wards and frequent readmissions at Butabika National Referral Mental Hospital (BNRMH) in Kampala, the nongovernment organisation YouBelong Uganda (YBU) developed the YouBelong Home (YBH) intervention. YBH is a theoretically eclectic pre and post hospital discharge intervention. This paper reports on qualitative findings of the project Curtailing Hospital Readmissions for Patients with Severe Mental Illness in Africa (CHaRISMA), which explored how to refine the YBH intervention. The project was funded by a UK Joint Global Health Trials (JGHT) Development Grant. Data was collected through structured interviews with service users and caregivers, reflective practice by the YBH implementing team and a stakeholder focus group. A summary of refinements to the YBH intervention follows the TIDieR format (Template for Intervention Description and Replication).
A proof of concept reinforcement learning based tool for non parametric population pharmacokinetics workflow optimization
Authors: Otalvaro J. D. , Yamada W. M. , Hernandez A. M. , Zuluaga A. F. , Chen R. , Neely M. N. 
Published: December 2022

AbstractThe building of population pharmacokinetic models can be described as an iterative process in which given a model and a dataset, the pharmacometrician introduces some changes to the model specification, then perform an evaluation and based on the predictions obtained performs further optimization. This process (perform an action, witness a result, optimize your knowledge) is a perfect scenario for the implementation of Reinforcement Learning algorithms. In this paper we present the conceptual background and a implementation of one of those algorithms aiming to show pharmacometricians how to automate (to a certain point) the iterative model building process.We present the selected discretization for the action and the state space. SARSA (State-Action-Reward-State-Action) was selected as the RL algorithm to use, configured with a window of 1000 episodes with and a limit of 30 actions per episode. SARSA was configured to control an interface to the Non-Parametric Optimal Design algorithm, that was actually performing the parameter optimization.The Reinforcement Learning (RL) based agent managed to obtain the same likelihood and number of support points, with a distribution similar to the reported in the original paper. The total amount of time used by the train the agent was 5.5 h although we think this time can be further improved. It is possible to automatically find the structural model that maximizes the final likelihood for an specific pharmacokinetic dataset by using RL algorithm. The framework provided could allow the integration of even more actions i.e: add/remove covariates, non-linear compartments or the execution of secondary analysis. Many limitations were found while performing this study but we hope to address them all in future studies.
Effects of the SLCO1B1 A388G single nucleotide polymorphism on the development, clinical parameters, treatment, and survival of multiple myeloma cases in a Polish population
Authors: Michalska Katarzyna , Balcerczak Ewa , Jeleń Agnieszka , Saed Lias , Pietrzak Jacek , Żebrowska-Nawrocka Marta 
Published: December 2022

Abstract
Background
Multiple myeloma is one of the most common hematological malignancies worldwide. Genetic alterations may lead to the progression from monoclonal gammopathy to multiple myeloma. Additionally, the genetic background of the disease might influence therapy outcomes, including survival time. SLCO1B1, belonging to the OATPs family, is a membrane protein that mediates the uptake of a wide range of endogenous and exogenous (including drugs) compounds.

Methods and results
In this study, the A388G single nucleotide polymorphism in the SLCO1B1 gene in Polish multiple myeloma patients was determined. This polymorphism affects the amino acid change of the protein, so it may be responsible for treatment effectiveness or risk of disease development. A388G was evaluated by the PCR–RFLP method. The presented study showed a statistically significant association between the GG genotype with longer survival of patients with multiple myeloma with Melphalan-Prednisone therapy compared to other treatment regimens (p = 0.0271). There was no statistically significant association in the frequency of genotypes (p = 0.8211) and alleles: allele A (p = 0.5442); allele G (p = 0.8020) between multiple myeloma patients and a control group.

Conclusions
The A388G polymorphism does not seem to affect the increased risk of the development of multiple myeloma. However, the occurrence of the GG genotype may prolong of patients overall survival in the case of Melphalan-Prednisone therapy.
Decentralized revenue sharing from broadcasting sports
Authors: Bergantiños Gustavo , Moreno-Ternero Juan D. 
Published: December 2022

AbstractWe study the problem of sharing the revenues from broadcasting sports leagues among participating clubs. First, we characterize the set of rules satisfying two basic axioms: anonymity and additivity. Then, we decentralize the problem by letting clubs vote for rules. No majority equilibrium exists when they are allowed to vote for any rule within the characterized set. However, if the set is restricted in a meaningful and plausible way (just replacing anonymity by equal treatment of equals), majority equilibrium does exist.
Justified belief, knowledge, and the topology of evidence
Authors: Baltag Alexandru , Bezhanishvili Nick , Özgün Aybüke , Smets Sonja 
Published: December 2022

AbstractWe propose a new topological semantics for evidence, evidence-based justifications, belief, and knowledge. Resting on the assumption that an agent’s rational belief is based on the available evidence, we try to unveil the concrete relationship between an agent’s evidence, belief, and knowledge via a rich formal framework afforded by topologically interpreted modal logics. We prove soundness, completeness, decidability, and the finite model property for the associated logics, and apply this setting to analyze key epistemological issues such as “no false lemma” Gettier examples, misleading defeaters, undefeated justification versus undefeated belief, as well as the defeasibility theories of knowledge.
On the Elastohydrodynamic Film-Forming Properties of Metalworking Fluids and Oil-in-Water Emulsions
Authors: Liu H. C. , Pape F. , Zhao Y. , Ellersiek L. , Denkena B. , Poll G. 
Published: December 2022

AbstractOil-in-water (O/W) emulsions are water-based lubricants and used as fire-resistant hydraulic fluids and metalworking fluids (MWFs) in industry. The (elasto-)hydrodynamic film-forming properties of O/W emulsions have been studied extensively in literature. Typical elastohydrodynamic lubrication (EHL) behaviors are revealed at low rolling speeds followed by a starved EHL regime at elevated speeds. These emulsions are self-prepared and mostly stable only for a limited time ranging from hours to several days. By contrast, the film-forming behavior of water-miscible commercial MWFs (long-term stable O/W emulsions) has rarely been reported. This restricts the understanding of the lubrication status of many tribological interfaces in manufacturing processes, e.g., the chip-tool contact in cutting. In this work, the (elasto-)hydrodynamic film-forming property of two commercial MWFs is investigated by measuring the film thickness on two ball-on-disc test rigs using different optical interferometry techniques. For comparison, two self-prepared simple O/W emulsions with known formulation have also been investigated. Experimental results from the two test rigs agree well and show that the two self-prepared emulsions have typical EHL behaviors as reported in literature. However, for the two commercial MWFs, there is almost no (elasto-)hydrodynamic film-forming ability over the whole range of speeds used in this study. This could be explained by the cleaning and re-emulsification effects of the MWFs. The lubrication mechanism of the two MWFs is mainly boundary lubrication rather than hydrodynamic lubrication.
Graphical Abstract
Mechanism of traditional Chinese medicine in treating overactive bladder
Authors: Liao Yuxiang , Du Xin , Fu Yuanbo , Liu Lu , Wei Jiangyan , An Qi , Luo Xuanzhi , Gao Fan , Jia Shuhan , Chang Ying , Guo Mengxi , Liu Huilin 
Published: December 2022

AbstractOveractive bladder syndrome (OAB) has made increasing progress in mechanism and treatment research. Traditional Chinese medicine (TCM) is a common complementary therapy for OAB, and it has been found to be effective. However, the intervention mechanism of TCM in the treatment of OAB is still unclear. The aim of this review is to consolidate the current knowledge about the mechanism of TCM: acupuncture, moxibustion, herbs in treating OAB, and the animal models of OAB commonly used in TCM. Finally, we put forward the dilemma of TCM treatment of OAB and discussed the insufficiency and future direction of TCM treatment of OAB.