bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resident Astrocytes can Limit Injury to Developing Hippocampal Neurons upon THC Exposure
Authors: Krassnitzer Maria , Boisvert Brooke , Beiersdorf Johannes , Harkany Tibor , Keimpema Erik 
Published: December 2022

AbstractCannabis legalization prompted the dilemma if plant-derived recreational drugs can have therapeutic potential and, consequently, how to address their regulation and safe distribution. In parallel, the steady worldwide decriminalization of cannabis and the enhanced content of its main psychoactive compound Δ9-tetrahydrocannabinol (THC), exposes populations to increasing amounts of cannabis and THC across all ages. While adverse effects of cannabis during critical stages of fetal neurodevelopment are investigated, these studies center on neurons alone. Thus, a gap of knowledge exists on how intercellular interactions between neighboring cell types, particularly astrocytes and neurons, could modify THC action. Here, we combine transcriptome analysis, transgenic models, high resolution microscopy and live cell imaging to demonstrate that hippocampal astrocytes accumulate in the strata radiatum and lacunosum moleculare of the CA1 subfield, containing particularly sensitive neurons to stressors, upon long term postnatal THC exposure in vivo. As this altered distribution is not dependent on cell proliferation, we propose that resident astrocytes accumulate in select areas to protect pyramidal neurons and their neurite extensions from pathological damage. Indeed, we could recapitulate the neuroprotective effect of astrocytes in vitro, as their physical presence significantly reduced the death of primary hippocampal neurons upon THC exposure (> 5 µM). Even so, astrocytes are also affected by a reduced metabolic readiness to stressors, as reflected by a downregulation of mitochondrial proteins. Thus, we find that astrocytes exert protective functions on local neurons during THC exposure, even though their mitochondrial electron transport chain is disrupted.
Manipulation, machine induction, and bypassing
Authors: De Marco Gabriel 
Published: December 2022

AbstractA common style of argument in the literature on free will and moral responsibility is the Manipulation Argument. These tend to begin with a case of an agent in a deterministic universe who is manipulated, say, via brain surgery, into performing some action. Intuitively, this agent is not responsible for that action. Yet, since there is no relevant difference, with respect to whether an agent is responsible, between the manipulated agent and a typical agent in a deterministic universe, responsibility is not compatible with the truth of determinism. In response, some theorists have argued that there is a relevant difference, and have developed two sorts of accounts of that difference: bypassing views, and manipulator-focused views. Manipulator-focused views suggest that the difference concerns the presence of a manipulator, whereas bypassing views suggest that the relevant difference concerns the fact that the action issues from attitudes that the manipulated agent acquired in a way that bypassed her capacities for control over her mental life. One sort of case used to decide between these sorts of accounts is a case of machine induction, which is just like a manipulation case, yet the change in the agent is the result of some natural force. Against the received view, Xiaofei Liu argues that such cases pose problems for bypassing views, and favor manipulator-focused views instead. This paper addresses Liu’s arguments, as well as a variety of cases, concluding that cases of machine induction do not provide motivation for a bypassing theorist to adopt a manipulator-focused view.
Nitrogen doped carbonaceous materials as platinum free cathode electrocatalysts for oxygen reduction reaction (ORR)
Authors: Ayyubov Ilgar , Tálas Emília , Berghian-Grosan Camelia , Románszki Loránd , Borbáth Irina , Pászti Zoltán , Szegedi Ágnes , Mihály Judith , Vulcu Adriana , Tompos András 
Published: December 2022

AbstractComparison of physicochemical properties and electrocatalytic behavior of different N-doped carbonaceous materials as potential catalysts for oxygen reduction reaction (ORR) was attended. Ball-milling of graphite with melamine and solvothermal treatment of graphite oxide, graphene nanoplatelets (GNP) with ammonia were used as preparation methods. Elemental analysis and N2 physisorption measurements revealed the synthesis of N-doped materials with strongly different morphological parameters. Contact angle measurements proved that all three samples had good wettability properties. According to analysis of XRD data and Raman spectra a higher nitrogen concentration corresponded to a smaller size of crystallites of the N-doped carbonaceous material. Surface total N content determined by XPS and bulk N content assessed by elemental analysis were close, indicating homogenous inclusion of N in all samples. Rotating disc electrode tests showed that these N-doped materials weremuch less active in acidic medium than in an alkaline environment. Although the presence of in-plane N species is regarded to be advantageous for the ORR activity, no particular correlation was found in these systems with any type of N species. According to Koutecky–Levich analysis, both the N-containing carbonaceous materials and the reference Pt/C catalyst displayed a typical one-step, four-electron ORR route. Both ball-milled sample with high N-content but with low SSA and solvothermally synthesized N-GNP with high SSA but low N content showed significant ORR activity. It could be concluded that beside the total N content other parameters such as SSA, pore structure, structural defects, wettability were also essential for achieving high ORR activity.
CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates
Authors: Magdy Maged , Ghaleb Fayed F. M. , Mohamed Dawlat A. El A. , Zakaria Wael 
Published: December 2022

AbstractFrequent itemset mining (FIM) is the crucial task in mining association rules that finds all frequent k-itemsets in the transaction dataset from which all association rules are extracted. In the big-data era, the datasets are huge and rapidly expanding, so adding new transactions as time advances results in periodic changes in correlations and frequent itemsets present in the dataset. Re-mining the updated dataset is impractical and costly. This problem is solved via incremental frequent itemset mining. Numerous researchers view the new transactions as a distinct dataset (partition) that may be mined to obtain all of its frequent item sets. The extracted local frequent itemsets are then combined to create a collection of global candidates, where it is possible to estimate the support count of the combined candidates to avoid re-scanning the dataset. However, these works are hampered by the growth of a huge number of candidates, and the support count estimation is still imprecise. In this paper, the Closed Candidates-based Incremental Frequent Itemset Mining approach, or CC-IFIM, has been proposed to decrease candidate generation and improve the accuracy of the global frequent itemsets that are retrieved. The proposed approach is able to prune several produced candidates in earlier steps before performing any further computations. To improve the accuracy of the computation of the support count of the produced candidates, the similarity between partitions has been evaluated using just the local closed candidates rather than all candidates. The experimental findings demonstrated that the CC-IFIM approach is superior to its competitors in terms of efficiency and accuracy.
Oxidative Treatment of Paper Mill Effluent by TiO2 Photocatalysis and Photo-Fenton Reagent
Authors: Bulskaya Ina , Fytianos Konstantinos 
Published: December 2022

AbstractThe pulp and paper industry have historically been one of the world’s largest consumers of freshwater resources and producers of wastewater discharges. More than 250 chemicals have been identified in effluents including chlorine-based organic and other toxic compounds. Some of these are resistant to biological degradation such as color-related compounds. The goal of this study was to analyze the real wastewater from the paper mill and to suggest a photocatalytic treatment method in order to reduce the organic pollutants load. The efficiency of the commonly used treatment photocatalytic processes (photo-TiO2 and photo-Fenton reagent) on the treatment of real paper mill effluent was investigated. Additionally, the performance of TiO2 photocatalytic reactions with and without the addition of hydrogen peroxide was also examined. For the experiment, a 500 mL pyrex UV reactor and a 125-W high-pressure mercury lamp, surrounded by pyrex filter blocking wavelengths below 290 nm were used. The approach has been applied for the treatment of effluents produced from a papermaking industry.
Triads in Lean Management: Analyzing Buyer–Supplier-Supplier and Buyer–Supplier-Supplier’s Supplier Relationships for Zero-Defect Manufacturing
Authors: Kovalevskaya Daria , Pedersen Ann-Charlott , Holmen Elsebeth , Kaloudis Aristidis , Ringen Geir 
Published: December 2022

AbstractMany studies on buyer–supplier-supplier triads demonstrate the value of the interactions between three business actors instead of two for identifying triadic collaboration strategies that can lead firms to improve their performance. However, there is little research to date that has explored which specific lean improvements the various types of buyer–supplier-supplier triads lead to. This paper fills this gap. We study an automotive supplier manufacturing company (the buyer) and its seven types of buyer–supplier-supplier triads emerging from the buyers’ attempt to implement zero-defect manufacturing (ZDM) in the production process of a crash management system. The case study shows how a buyer manages their first-tier suppliers through three types of closed buyer–supplier-supplier triads, where all three actors collaborate to work for the common goal of ZDM. The case also shows four additional types of open triads, where the buyer relies on the first-tier supplier to manage the second-tier supplier without directly interacting with the latter. The paper discusses what types of triads in the case study seem to be associated with the buyers’ efforts to achieve the following lean sub-goals of ZDM: full automation, production line flexibility, product flexibility, low cost, low defect rate, short cycle time, and minimum quality control. Finally, we also analyze the role of geographic proximity between the actors in open and closed buyer–supplier-supplier ZDM triads.
Subjectivity and Non-Objectifying Awareness
Authors: O’Conaill Donnchadh 
Published: December 2022

AbstractWe are each aware of our own experiences as they occur, but in this inner awareness our experiences do not seem to be presented to us as objects in the way that they typically are when we reflect on them. A number of philosophers, principally in the phenomenological tradition, have characterised this in terms of inner awareness being a non-objectifying mode of awareness. This claim has faced persistent objections that the notion of non-objectifying awareness is obscure or merely negatively characterised. In this paper I shall outline a positive conception of a non-objectifying mode of awareness, feature-encountering awareness. I shall apply this conception to our awareness of our experiences, characterising it as an awareness of instantiations of phenomenal properties in a temporal dimension. Inner awareness thus characterised clearly differs from standard modes of objectifying awareness.
Large improvement of mental health during in outpatient short-term group psychotherapy treatment—a naturalistic pre-/post-observational study
Authors: Riedl David , Labek Karin , Gstrein Ines , Rothmund Maria-Sophie , Sperner-Unterweger Barbara , Kantner-Rumplmair Wilhelm 
Published: December 2022

Summary
Background
Group psychotherapy is an effective treatment for patients with mental health issues. This study aims to evaluate data on the effectiveness of a cost-free short-term outpatient group psychotherapy project for patients with mixed mental health issues in Tyrol, Austria.

Methods
In this naturalistic observational study, outpatients taking part in the psychotherapeutic group treatment between spring 2018 and spring 2020 were included. Patients completed the patient health questionnaire (PHQ-D), an item of the working ability index (WAI) and single items on symptom burden, treatment expectation and perceived benefit before the first (T0) and/or last group session (T1). Mean changes were investigated using repeated measure analyses of variance (rANOVA).

Results
A total of 98 patients were included in the study. Statistically significant improvements with medium to large effect sizes were observed for depression (η2 = 0.22, p < 0.001), somatization (η2 = 0.10, p = 0.008), anxiety (η2 = 0.18, p < 0.001), and subjective working ability (η2 = 0.22, p < 0.001). Neither age (p = 0.85), sex (p = 0.34), baseline symptoms (p = 0.29–0.77), nor previous experience with individual (p = 0.15) or group psychotherapy (p = 0.29) were associated with treatment outcome. However, treatment expectation at baseline was significantly associated with the patients’ perception of the treatment benefit (r = 0.39, p < 0.001).

Conclusion
Our study highlights the benefit of outpatient short-term group psychotherapy for individuals with mental health issues. Group psychotherapy should be offered free of charge to individuals with mental health issues by social health providers.
Ultralow Interfacial Thermal Resistance of Graphene Thermal Interface Materials with Surface Metal Liquefaction
Authors: Dai Wen , Ren Xing-Jie , Yan Qingwei , Wang Shengding , Yang Mingyang , Lv Le , Ying Junfeng , Chen Lu , Tao Peidi , Sun Liwen , Xue Chen , Yu Jinhong , Song Chengyi , Nishimura Kazuhito , Jiang Nan , Lin Cheng-Te 
Published: December 2022

AbstractDeveloping advanced thermal interface materials (TIMs) to bridge heat-generating chip and heat sink for constructing an efficient heat transfer interface is the key technology to solve the thermal management issue of high-power semiconductor devices. Based on the ultra-high basal-plane thermal conductivity, graphene is an ideal candidate for preparing high-performance TIMs, preferably to form a vertically aligned structure so that the basal-plane of graphene is consistent with the heat transfer direction of TIM. However, the actual interfacial heat transfer efficiency of currently reported vertically aligned graphene TIMs is far from satisfactory. In addition to the fact that the thermal conductivity of the vertically aligned TIMs can be further improved, another critical factor is the limited actual contact area leading to relatively high contact thermal resistance (20–30 K mm2 W−1) of the “solid–solid” mating interface formed by the vertical graphene and the rough chip/heat sink. To solve this common problem faced by vertically aligned graphene, in this work, we combined mechanical orientation and surface modification strategy to construct a three-tiered TIM composed of mainly vertically aligned graphene in the middle and micrometer-thick liquid metal as a cap layer on upper and lower surfaces. Based on rational graphene orientation regulation in the middle tier, the resultant graphene-based TIM exhibited an ultra-high thermal conductivity of 176 W m−1 K−1. Additionally, we demonstrated that the liquid metal cap layer in contact with the chip/heat sink forms a “liquid–solid” mating interface, significantly increasing the effective heat transfer area and giving a low contact thermal conductivity of 4–6 K mm2 W−1 under packaging conditions. This finding provides valuable guidance for the design of high-performance TIMs based on two-dimensional materials and improves the possibility of their practical application in electronic thermal management.
The impact on air quality of PM10 emissions from the bus fleet of Buenos Aires City
Authors: Accorinti Jesica , Allende David , Puliafito Salvador E. 
Published: December 2022

Abstract
Automobile transport in megacities poses serious problems in the area of sustainability and environmental security. In the City of Buenos Aires (CABA) it represents 37% of GHG emissions and is an important source of pollutants dangerous to human health. As such, it is an energy consumption sector targeted for the implementation of methods that allow for sustainable urban transport. At the same time, very few previous studies about transport vehicle emissions have utilized the PM10 as an indicator of environmental contamination, considering that the negative impact of this environmental contaminant on human health is widely studied. An emission model linked to an atmospheric dispersion model, statistically validated, were used to study different scenarios of emissions generated by diesel buses. It was observed that in a scenario of zero bus emissions (E0), PM10 immission (air concentrations) concentration in CABA is reduced by half. When studying the energy transition from diesel buses to electric energy, while the rest of the vehicle fleet was maintained at the expense of fossil fuels, the local immission concentration of PM10 in CABA was of the same magnitude of that which was obtained when simulating the (E0) scenario of only private vehicle fleet. This study is relevant in the evaluation of public policy on vehicle emission mitigation that seeks to reduce health risks from poor air quality and to develop a more progressively sustainable city.

Article Highlights

Transition energy exclusively for buses could reduce PM10 immission values of CABA by 50%.

Thermal energy needed to the energy transition does not significant impact the PM10 immission values on the local air quality.

Electric buses could reduce the maximum PM10 immission value by half.
Three dimensional BC/rGA aerogel: preparation, characterization, and adsorption of Cr(VI)
Authors: Che Naiju , Liu Na , Li Yinhui , Li Chao , Liu Yanli , Li Chengliang 
Published: December 2022

AbstractGraphene-based composite aerogel doped with other low-cost materials can reduce the cost and promote the use in water treatment. This work prepared ball-milled biochar/reduced graphene oxide aerogel (BC/rGA) using GO and low-cost ball-milled biochar (BC) in a certain proportion with the freeze-thawing technique and sol–gel method, and applied BC/rGA on the Cr(VI) removal from aquatic environments. The characterization results showed that aerogel had a honeycomb briquette three-dimension (3D) and mesoporous structure with interconnected pores, and proved the preparation progress of aerogel in principle. Compared with GO, rGA and BC/rGA had better adsorption performance with 3D structure and well-developed pores, and BC/rGA with the mixture ratio of BC and GO of 1:4 was more appropriate. The adsorption kinetics data of rGA and BC/rGA(1:4) were fitting well with the pseudo-second-order model (R2 > 0.951), and the isotherm adsorption results were fitting the Langmuir model well (R2 > 0.974). The results demonstrated that the adsorption process was monolayer and endothermic adsorption involving chemisorption. Additionally, the adsorption capacities of rGA and BC/rGA(1:4) at solution pH 2 were 3.71 and 3.89 times greater than those at solution pH 8, respectively. High background ion strength and low temperature slightly inhibited the adsorption of Cr(VI) by both rGA and BC/rGA(1:4). The adsorption mechanisms of Cr(VI) on rGA and BC/rGA(1:4) were electrostatic interaction, reduction and ion exchange. The use of BC/rGA could reduce the cost and promote the green reuse of agricultural waste. Overall, BC/rGA could be used as a promising green adsorbent alternative for the feasible treatment of heavy metal contaminated water.
Graphical Abstract
The role of post-transcriptional modifications during development
Authors: Hamar Renáta , Varga Máté 
Published: December 2022

AbstractWhile the existence of post-transcriptional modifications of RNA nucleotides has been known for decades, in most RNA species the exact positions of these modifications and their physiological function have been elusive until recently. Technological advances, such as high-throughput next-generation sequencing (NGS) methods and nanopore-based mapping technologies, have made it possible to map the position of these modifications with single nucleotide accuracy, and genetic screens have uncovered the “writer”, “reader” and “eraser” proteins that help to install, interpret and remove such modifications, respectively. These discoveries led to intensive research programmes with the aim of uncovering the roles of these modifications during diverse biological processes. In this review, we assess novel discoveries related to the role of post-transcriptional modifications during animal development, highlighting how these discoveries can affect multiple aspects of development from fertilization to differentiation in many species.
Efficient Path and Action Planning Method for Multi-Agent Pickup and Delivery Tasks under Environmental Constraints
Authors: Yamauchi Tomoki , Miyashita Yuki , Sugawara Toshiharu 
Published: December 2022

AbstractWe propose a method called path and action planning with orientation (PAPO) that efficiently generates collision-free paths to satisfy environmental constraints, such as restricted path width and node size, for the multi-agent pickup and delivery in non-uniform environment (N-MAPD) problem. The MAPD problem, wherein multiple agents repeatedly pick up and carry materials without collisions, has attracted considerable attention; however, conventional MAPD algorithms assume a specially designed environment and thus use simple, uniform models with few environmental constraints. Such conventional algorithms cannot be applied to realistic applications where agents need to move in more complex and restricted environments. For example, the actions and orientations of agents are strictly restricted by the sizes of agents and carrying materials and the width of the passages at a construction site and a disaster area. In our N-MAPD formulation, which is an extension of the MAPD problem to apply to non-uniform environments with constraints, PAPO considers not only the path to the destination but also the agents’ direction, orientation, and timing of rotation. It is costly to consider all these factors, especially when the number of nodes is large. Our method can efficiently generate acceptable plans by exploring the search space via path planning, action planning, and conflict resolution in a phased manner. We experimentally evaluated the performance of PAPO by comparing it with our previous method, which is the preliminary version of PAPO, the baseline method in a centralized approach, and fundamental meta-heuristic algorithms. Finally, we demonstrate that PAPO can efficiently generate sub-optimal paths for N-MAPD instances.