bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generalized diffusion and random search processes
Authors: Zhou Tian , Trajanovski Pece , Xu Pengbo , Deng Weihua , Sandev Trifce , Kocarev Ljupco 
Published: September 2022

Abstract
We consider a one-dimensional Brownian search in the presence of trapping. The diffusion equation of the particle is represented by a memory kernel that enters the general waiting time probability density function. We find the general form of the first arrival time density, search reliability and efficiency and analyze several special cases of the memory kernel. We also analyze the Lévy search in the presence of trapping in cases of single and multiple targets, as well as combined Lévy–Brownian search strategies in case of a single target. The presented results are general and could be of interest for further investigation of different optimal search strategies, as well as in the animal foraging or spreading of contamination particles in the environment.
A model simulation of political segmentation through an estimation of the entropy
Authors: Domenikos George-Rafael , Mantzaris Alexander V 
Published: September 2022

Abstract
The interconnectivity of a global communication system has allowed exchanges of ideas and expression producing a plethora of positive results. There have also been notable exceptions where clashes of ideas produce friction between people and even violence in the effort to dominate a political discourse. Various models have been proposed on how these ideas arise, grow and interact with each other. This paper explores how the Schelling model of segregation can be modified to represent ideological states and from this new formulation is proposed to assess the entropic trajectory of its simulation. The simple yet expressive model proposed is modified where simulations are monitored from the entropic measures of the system based upon ideological interactions and movements. A key result is that the entropy displays spikes due to randomized outside influences, and that the total entropy of the system decreases. This provides insight into how a system of politically engaged agents can be monitored for stability.
Heat energy consumption forecast analysis: model-oriented multi-objective approach
Authors: Kutkarska R D , Koeva D Y 
Published: September 2022

Abstract
Forecasting the expected quantity of heat energy consumption by multiple residential buildings can be a time consuming task, if done manually. The energy consumption in a building can be represented as a data parameter that changes over a period of time. For forecasting purposes autoregressive models are most often used to analyse time series data. One solution of the problem is to perform a hyperparameter optimization and derive the best results according to a selected metric. However, the grid search approach is often a time-consuming and resource-intensive task requiring additional human interaction for the final assessment of the most suitable parameters. The purpose of this study is to explore the possibility of developing a fully automated software algorithm that will provide sufficient parameters for the prediction of heat energy using the seasonal autoregressive integrated moving average with exogenous variables model (SARIMAX).
Cold ironing feasibility study at the Heraklion Port
Authors: Karapidakis E , Nikolaidis E , Moraitakis G , Georgakis F , Papadakis M 
Published: September 2022

Abstract
Due to environmental considerations, ships are being required to turn off their generators while berthing and receive electric power from the shore. This method of electrical connection of ships to ports during berthing is called cold ironing. Cold ironing can significantly contribute to air quality improvement by mitigating harbours’ CO2, nitrogen oxygen and several harmful emissions. This study investigates the needs and assess the first steps of cold ironing implementation in the Port of Heraklion, while also discussing the relative energy mix of the island.
Development and testing of 37.8 MHz, 3.0 kW RF amplifier system for Radioactive Ion Beam facility at VECC Kolkata
Authors: Pandey H.K. , Jain A.K. , Mandi T.K. , Dutta D.P. 
Published: September 2022

Abstract
This paper reports the design, development and testing of a
3.0 kW, 37.8 MHz radio frequency (RF) amplifier system that has
been built by combining four solid-state amplifier modules of
1.0 kW each. The design philosophy and test results of individual
components such as driver amplifier, final amplifier modules, power
divider/combiner, dual directional coupler (DDC) with system control
and interlocks are discussed in detail. Compact 4-way Wilkinson
power divider and combiner have been implemented using combination
of 50 Ω coaxial cables at this lower frequency of
37.8 MHz. It provides better isolation between the ports and also
have high power handling capability. The amplifier has been tested
with existing 37.8 MHz quarter-wave resonator type re buncher in
the Radioactive Ion Beam (RIB) facility. The performance test
results of developed RF system with Re buncher cavity have been
presented in this report.
20th World Wind Energy Conference & Exhibition (WEEC 2022)
Authors: Astiaso Garcia D. , Lamagna L. , Gsänger S. , Martone S. , Rae P. , Reggiani R. , Togni S. 
Published: September 2022

Abstract
This paper represents a preface to the Proceedings of the 20th World Wind Energy Conference & Exhibition (WEEC 2022) held in Rimini, Italy, from the 28th to the 30th of June 2022. Background information, conference resolution and the organizational structure of the meeting, program committee, and acknowledgments of the contributions of the many people who made the conference a success are presented.
Wake interaction in offshore wind farms with mesoscale derived inflow condition and sea waves
Authors: Castorrini A. , Tieghi L. , Barnabei V.F. , Gentile S. , Bonfiglioli A. , Corsini A. , Rispoli F. 
Published: September 2022

Abstract
Numerical simulation is an indispensable tool for the design and optimization of wind farms layout and control strategies for energy loss reduction. Achieving consistent simulation results is strongly related to the definition of reliable weather and sea conditions, as well as the use of accurate computational fluid dynamics (CFD) models for the simulation of the wind turbines and wakes. Thus, we present a case study aiming to evaluate the wake-rotor interaction between offshore multi-MW wind turbines modelled using the Actuator Line Model (ALM) and realistic wind inflow conditions. In particular, the interaction between two DTU10 wind turbines is studied for two orientations of the upstream turbine rotor, simulating the use of a yaw-based wake control strategy. Realistic wind inflow conditions are obtained using a multi-scale approach, where the wind field is firstly computed using mesoscale numerical weather prediction (NWP). Then, the mesoscale vertical wind profile is used to define the wind velocity and turbulence boundary conditions for the high-fidelity CFD simulations. Sea waves motion is also imposed using a dynamic mesh approach to investigate the interaction between sea waves, surface boundary layer, and wind turbine wakes and loads.
Opportunities and challenges of energy performance contracting in the Italian market for energy efficiency services.
Authors: Mazzantini Silvano , Legge Annamaria Di , Mastracci Marco , Maurelli Patrick , Rosa Flavio 
Published: September 2022

Abstract
The improvement of energy efficiency entails important benefits both for the individual user, owner of the infrastructure, and for the community in general. In fact, Energy Efficiency is a strategic priority of the European Union. However, the great potential deriving from energy efficiency is currently untapped. The reason for this gap is essentially due to the reluctance of customers to commit financial resources for these projects. The EPC scheme allows to overcome this reluctance, offering the customer a wide range of services that exempt him from most of the risks and responsibilities associated with the implementation of the energy efficiency project. Nevertheless, a series of financial barriers hinder the application of EPCs, effectively limiting the use of a sophisticated contractual instrument, which could contribute to the development of the energy efficiency services market. This report examines the opportunity to encourage greater use of EPCs in Italy, using refinancing instruments.
Impact of Changes to Concealed-Carry Weapons Laws on Fatal and Nonfatal Violent Crime, 1980–2019
Authors: Doucette Mitchell L , McCourt Alexander D , Crifasi Cassandra K , Webster Daniel W 
Published: September 2022

Abstract
The United States faces rapidly rising rates of violent crime committed with firearms. In this study, we sought to estimate the impact of changes to laws that regulate the concealed carrying of weapons (concealed-carry weapons (CCW) laws) on violent crimes committed with a firearm. We used augmented synthetic control models and random-effects meta-analyses to estimate state-specific effects and the average effect of adopting shall-issue CCW permitting laws on rates of 6 violent crimes: homicide with a gun, homicide by other means, aggravated assault with a gun, aggravated assault with a knife, robbery with a gun, and robbery with a knife. The average effects were stratified according to the presence or absence of several shall-issue permit provisions. Adoption of a shall-issue CCW law was associated with a 9.5% increase in rates of assault with a firearm during the first 10 years after law adoption and was associated with an 8.8% increase in rates of homicide by other means. When shall-issue laws allowed violent misdemeanants to acquire CCW permits, the laws were associated with higher rates of gun assaults. It is likely that adoption of shall-issue CCW laws has increased rates of nonfatal violent crime committed with firearms. Harmful effects of shall-issue laws are most clear when provisions intended to reduce risks associated with civilian gun-carrying are absent.
SpotLink enables sensitive and precise identification of site nonspecific cross-links at the proteome scale
Authors: Zhang Weijie , Gong Pengyun , Shan Yichu , Zhao Lili , Hu Hongke , Wei Qiushi , Liang Zhen , Liu Chao , Zhang Lihua , Zhang Yukui 
Published: September 2022

Abstract
Nonspecific cross-linker can provide distance restraints between surface residues of any type, which could be used to investigate protein structure construction and protein–protein interaction (PPI). However, the vast number of potential combinations of cross-linked residues or sites obtained with such a cross-linker makes the data challenging to analyze, especially for the proteome-wide applications. Here, we developed SpotLink software for identifying site nonspecific cross-links at the proteome scale. Contributed by the dual pointer dynamic pruning algorithm and the quality control of cross-linking sites, SpotLink identified &gt; 3000 cross-links from human cell samples within a short period of days. We demonstrated that SpotLink outperformed other approaches in terms of sensitivity and precision on the datasets of the simulated succinimidyl 4,4′-azipentanoate dataset and the condensin complexes with known structures. In addition, some valuable PPI were discovered in the datasets of the condensin complexes and the HeLa dataset, indicating the unique identification advantages of site nonspecific cross-linking. These findings reinforce the importance of SpotLink as a fundamental characteristic of site nonspecific cross-linking technologies.
Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion
Authors: Huang Li , Zhang Li , Chen Xing 
Published: September 2022

AbstractMicroRNAs (miRNAs) are gene regulators involved in the pathogenesis of complex diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic targets. The prerequisite for designing effective miRNA therapies is accurate discovery of miRNA-disease associations (MDAs), which has attracted substantial research interests during the last 15 years, as reflected by more than 55 000 related entries available on PubMed. Abundant experimental data gathered from the wealth of literature could effectively support the development of computational models for predicting novel associations. In 2017, Chen et al. published the first-ever comprehensive review on MDA prediction, presenting various relevant databases, 20 representative computational models, and suggestions for building more powerful ones. In the current review, as the continuation of the previous study, we revisit miRNA biogenesis, detection techniques and functions; summarize recent experimental findings related to common miRNA-associated diseases; introduce recent updates of miRNA-relevant databases and novel database releases since 2017, present mainstream webservers and new webserver releases since 2017 and finally elaborate on how fusion of diverse data sources has contributed to accurate MDA prediction.
Clustering consistency with Dirichlet process mixtures
Authors: Ascolani F , Lijoi A , Rebaudo G , Zanella G 
Published: September 2022

SummaryDirichlet process mixtures are flexible nonparametric models, particularly suited to density estimation and probabilistic clustering. In this work we study the posterior distribution induced by Dirichlet process mixtures as the sample size increases, and more specifically focus on consistency for the unknown number of clusters when the observed data are generated from a finite mixture. Crucially, we consider the situation where a prior is placed on the concentration parameter of the underlying Dirichlet process. Previous findings in the literature suggest that Dirichlet process mixtures are typically not consistent for the number of clusters if the concentration parameter is held fixed and data come from a finite mixture. Here we show that consistency for the number of clusters can be achieved if the concentration parameter is adapted in a fully Bayesian way, as commonly done in practice. Our results are derived for data coming from a class of finite mixtures, with mild assumptions on the prior for the concentration parameter and for a variety of choices of likelihood kernels for the mixture.
Care Order Decisions—in the Domain of Social Work or the Courts? Social Workers’ Frontline Views
Authors: Enroos Rosi , Huhtanen Raija , Korpinen Johanna , Pösö Tarja , Välikoski Tuula-Riitta 
Published: September 2022

AbstractThis article examines social workers’ views on care order decisions in Finnish child welfare where the decision-making procedure takes place in either the social work or court domain depending on the parties’ consent or objection to the care order proposal. Exploring this parallel decision-making system provides insights into the less studied characteristics of non-adversarial decision-making compared with those of adversarial decision-making. Based on the interviews of twenty-nine social workers, the findings present a binary view of social workers: the court domain is mainly seen as being an arena for the legal safety for families whereas the social work domain is a psychosocial, fluent and smooth arena for making care order decisions important to family members. The study points out potential misuse of the social work domain. Additional safeguards are suggested to complement the existing legal, professional and ethical safeguards as well as the re-evaluation of the role and nature of consent as a divider of the decision-making procedures.
Local neuronal excitation and global inhibition during epileptic fast ripples in humans
Authors: Curot Jonathan , Barbeau Emmanuel , Despouy Elodie , Denuelle Marie , Sol Jean Christophe , Lotterie Jean-Albert , Valton Luc , Peyrache Adrien 
Published: September 2022

Abstract
Understanding the neuronal basis of epileptic activity is a major challenge in neurology. Cellular integration into larger scale networks is all the more challenging. In the local field potential, interictal epileptic discharges can be associated with fast ripples (200–600 Hz), which are a promising marker of the epileptogenic zone. Yet, how neuronal populations in the epileptogenic zone and in healthy tissue are affected by fast ripples remain unclear. Here, we used a novel ‘hybrid’ macro–micro depth electrode in nine drug-resistant epileptic patients, combining classic depth recording of local field potentials (macro-contacts) and two or three tetrodes (four micro-wires bundled together) enabling up to 15 neurons in local circuits to be simultaneously recorded. We characterized neuronal responses (190 single units) with the timing of fast ripples (2233 fast ripples) on the same hybrid and other electrodes that target other brain regions. Micro-wire recordings reveal signals that are not visible on macro-contacts. While fast ripples detected on the closest macro-contact to the tetrodes were always associated with fast ripples on the tetrodes, 82% of fast ripples detected on tetrodes were associated with detectable fast ripples on the nearest macro-contact. Moreover, neuronal recordings were taken in and outside the epileptogenic zone of implanted epileptic subjects and they revealed an interlay of excitation and inhibition across anatomical scales. While fast ripples were associated with increased neuronal activity in very local circuits only, they were followed by inhibition in large-scale networks (beyond the epileptogenic zone, even in healthy cortex). Neuronal responses to fast ripples were homogeneous in local networks but differed across brain areas. Similarly, post-fast ripple inhibition varied across recording locations and subjects and was shorter than typical inter-fast ripple intervals, suggesting that this inhibition is a fundamental refractory process for the networks. These findings demonstrate that fast ripples engage local and global networks, including healthy tissue, and point to network features that pave the way for new diagnostic and therapeutic strategies. They also reveal how even localized pathological brain dynamics can affect a broad range of cognitive functions.
Investigating form and content of emotional and non-emotional laughing
Authors: Lombardi Giada , Gerbella Marzio , Marchi Massimo , Sciutti Alessandra , Rizzolatti Giacomo , Di Cesare Giuseppe 
Published: September 2022

AbstractAs cold actions (i.e. actions devoid of an emotional content), also emotions are expressed with different vitality forms. For example, when an individual experiences a positive emotion, such as laughing as expression of happiness, this emotion can be conveyed to others by different intensities of face expressions and body postures. In the present study, we investigated whether the observation of emotions, expressed with different vitality forms, activates the same neural structures as those involved in cold action vitality forms processing. To this purpose, we carried out a functional magnetic resonance imaging study in which participants were tested in 2 conditions: emotional and non-emotional laughing both conveying different vitality forms. There are 3 main results. First, the observation of emotional and non-emotional laughing conveying different vitality forms activates the insula. Second, the observation of emotional laughing activates a series of subcortical structures known to be related to emotions. Furthermore, a region of interest analysis carried out in these structures reveals a significant modulation of the blood-oxygen-leveldependent (BOLD) signal during the processing of different vitality forms exclusively in the right amygdala, right anterior thalamus/hypothalamus, and periaqueductal gray. Third, in a subsequent electromyography study, we found a correlation between the zygomatic muscles activity and BOLD signal in the right amygdala only.
Disruption of layer-specific visual processing in a model of focal neocortical epilepsy
Authors: Panarese Alessandro , Vissani Matteo , Meneghetti Nicolò , Vannini Eleonora , Cracchiolo Marina , Micera Silvestro , Caleo Matteo , Mazzoni Alberto , Restani Laura 
Published: September 2022

AbstractThe epileptic brain is the result of a sequence of events transforming normal neuronal populations into hyperexcitable networks supporting recurrent seizure generation. These modifications are known to induce fundamental alterations of circuit function and, ultimately, of behavior. However, how hyperexcitability affects information processing in cortical sensory circuits is not yet fully understood. Here, we investigated interlaminar alterations in sensory processing of the visual cortex in a mouse model of focal epilepsy. We found three main circuit dynamics alterations in epileptic mice: (i) a spreading of visual contrast-driven gamma modulation across layers, (ii) an increase in firing rate that is layer-unspecific for excitatory units and localized in infragranular layers for inhibitory neurons, and (iii) a strong and contrast-dependent locking of firing units to network activity. Altogether, our data show that epileptic circuits display a functional disruption of layer-specific organization of visual sensory processing, which could account for visual dysfunction observed in epileptic subjects. Understanding these mechanisms paves the way to circuital therapeutic interventions for epilepsy.
The Epidemiology of Sapovirus in the Etiology, Risk Factors, and Interactions of Enteric Infection and Malnutrition and the Consequences for Child Health and Development Study: Evidence of Protection Following Natural Infection
Authors: Rouhani Saba , Peñataro Yori Pablo , Paredes Olortegui Maribel , Lima Aldo A , Ahmed Tahmeed , Mduma Estomih R , George Ajila , Samie Amidou , Svensen Erling , Lima Ila , Mondal Dinesh , Mason Carl J , Kalam Adil , Guerrant Richard L , Lang Dennis , Zaidi Anita , Kang Gagandeep , Houpt Eric , Kosek Margaret N 
Published: September 2022

AbstractBackgroundSapovirus is one of the principal agents of acute viral enteritis in children. Because it has not been routinely included in diagnostic evaluations, the epidemiology and natural history remain poorly described.MethodsA birth cohort of 1715 children from 8 countries contributed surveillance samples (n = 35 620) and diarrheal specimens (n = 6868) from 0 to 24 months of age. Sapovirus was detected by quantitative polymerase chain reaction concurrently to other enteropathogens using multiarray cards. Logistic regression was used to identify risk factors, and longitudinal models were employed to estimate incidence rates and evaluate evidence of protective immunity.ResultsSapovirus was detected in 24.7% (n = 1665) of diarrheal stools and 12.8% (n = 4429) of monthly surveillance samples. More than 90% of children were infected and 60% experienced sapovirus diarrhea in the first 2 years of life. Breastfeeding and higher socioeconomic status were associated with reduced incidence of infection and illness. Specimens with sapovirus detected had an increased odds of coinfection with rotavirus (odds ratio [OR], 1.6 [95% confidence interval {CI}, 1.3–2.0]), astrovirus (OR, 1.5 [95% CI, 1.3–1.7]), adenovirus (OR, 1.3 [95% CI, 1.1–1.5]), and Shigella (OR, 1.4 [95% CI, 1.3–1.6]). Prior infection with sapovirus conferred a risk reduction of 22% for subsequent infection (hazard ratio [HR], 0.78 [95% CI, .74–.85]) and 24% for subsequent diarrhea (95% CI, 11.0%–35.0%; HR, 0.76).ConclusionsSapovirus is a common cause of early childhood diarrhea. Further research on coinfections is warranted. Evidence of acquired immunity was observed even in the absence of genotype-specific analysis for this pathogen of known genetic diversity.