bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparation of CuO nanorods for lithium-ion battery anodes by supercritical hydrothermal reaction of spent acidic etchant
Authors: Zhang Baoquan , Wang Shuzhong , Wang Jinlong , Liu Wei , Liu Lu 
Published: March 2023

Abstract
An economical and environmentally friendly treatment method is urgently needed for the copper-containing spent acidic etchant produced by printed circuit boards. In this work, CuO nanorods with ~30 nm in diameter and ~100 nm in length were prepared from spent acidic etchant by supercritical hydrothermal synthesis. The structures and morphologies of spent acidic etchant-derived CuO (E-CuO) and analytical pure CuCl2-derived CuO (P-CuO) were characterized. The E-CuO has more impurities such as Fe and Zn than the P-CuO. The energy storage performance of the prepared CuO anodes was tested. The E-CuO delivers a high initial discharge capacity of 793.3 mAh·g−1 and a better rate and cycling performance than the P-CuO due to the smaller particles and the doping of Fe and Zn from the spent acidic etchant in the E-CuO.
Compact microstrip diplexer design using new octagonal resonators for 5G and Wi-Fi applications
Authors: Ben Haddi S. , Zugari A. , Zakriti A. , El Ouahabi M. , El Khamlichi D. 
Published: March 2023

Abstract
The present paper sheds light on designing a new and high performance microstrip diplexer. The latter is based on new octagonal meandrous resonators combined with the connected common port, without adding any transmission line junction, in order to get a miniaturized structure. The suggested compact resonator is formed through combining the octagonal meandrous lines and coupled lines, which create a bandpass filter. These filters operate at 3.5 GHz and 5 GHz which make them suitable for 5G and Wi-Fi applications. Accordingly, an approximated equivalent LC model of the presented octagonal meandrous resonator is suggested and analyzed so as to validate the simulation results. On top of that, the suggested diplexer is compact, as it occupies only 0.0768 λ
g × 0.024 λ
g. Thus, it attained excellent performance in terms of S-Parameters as the transmission coefficients are about -1 dB and the reflection coefficient is about -20 dB at both channels, whereas the isolation is about -25 dB. Hence, the validation of theoretical and simulated results is carried out through measurements of the manufactured prototype.
The biomimetic surface topography of Rubus fruticosus leaves stimulate the induction of osteogenic differentiation of rBMSCs
Authors: Monteiro N O , Casanova M R , Fangueiro J F , Reis R L , Neves N M 
Published: March 2023

Abstract
The interaction between cells and biomaterials is essential for the success of biomedical applications in which the implantation of biomaterials in the human body is necessary. It has been demonstrated that material’s chemical, mechanical, and structural properties can influence cell behaviour. The surface topography of biomaterials is a physical property that can have a major role in mediating cell–material interactions. This interaction can lead to different cell responses regarding cell motility, proliferation, migration, and even differentiation. The combination of biomaterials with mesenchymal stem cells (MSCs) for bone regeneration is a promising strategy to avoid the need for autologous transplant of bone. Surface topography was also associated with the capacity to control MSCs differentiation. Most of the topographies studied so far involve machine-generated surface topographies. Herein, our strategy differentiates from the above mentioned since we selected natural surface topographies that can modulate cell functions for regenerative medicine strategies. Rubus fruticosus leaf was the selected topography to be replicated in polycaprolactone (PCL) membranes through polydimethylsiloxane moulding and using soft lithography. Afterwards, rat bone marrow stem cells (rBMSCs) were seeded at the surface of the imprinted PCL membranes to characterize the bioactive potential of our biomimetic surface topography to drive rBMSCs differentiation into the osteogenic lineage. The selected surface topography in combination with the osteogenic inductive medium reveals having a synergistic effect promoting osteogenic differentiation.
Convergence condition of simulated quantum annealing with a non-stoquastic catalyst
Authors: Kimura Yusuke , Nishimori Hidetoshi 
Published: March 2023

Abstract
The Ising model with a transverse field and an antiferromagnetic transverse interaction is represented as a matrix in the computational basis with non-zero off-diagonal elements with both positive and negative signs and thus may be regarded to be non-stoquastic. We show that the local Boltzmann factors of such a system under an appropriate Suzuki–Trotter representation can be chosen non-negative and thus may potentially be simulated classically without a sign problem if the parameter values are limited to a subspace of the whole parameter space. We then derive conditions for parameters to satisfy asymptotically in order that simulated quantum annealing of this system converges to thermal equilibrium in the long-time limit.
Greenhouse gas emissions embodied in electric vehicle charging infrastructure: a method and case study of Georgia, US 2021–2050
Authors: Mulrow John , Grubert Emily 
Published: March 2023

Abstract
Electric vehicle (EV) charging infrastructure buildout is a major greenhouse gas (GHG) mitigation strategy among governments and municipalities. In the United States, where petroleum-based transportation is the largest single source of GHG emissions, the Infrastructure Investment and Jobs Act of 2021 will support building a national network of 500 000 EV charging units. While the climate benefits of driving electric are well established, the potential embodied climate impacts of building out the charging infrastructure are relatively unexplored. Furthermore, ‘charging infrastructure’ tends to be conceptualized in terms of plugs and stations, leaving out the electrical and communications systems that will be required to support decarbonized and efficient charging. In this study, we present an EV charging system (EVCS) model that describes the material and operational components required for charging and forecasts the scale-up of these components based on EV market share scenarios out to 2050. We develop a methodology for measuring GHG emissions embodied in the buildout of EVCS and incurred during operation of the EVCS, including vehicle recharging, and we demonstrate this model using a case study of Georgia (USA). We find that cumulative GHG emissions from EVCS buildout and use are negligible, at less than 1% of cumulative emissions from personal light duty vehicle travel (including EV recharging and conventional combustion vehicle driving). If an accelerated EVCS buildout were to stimulate a faster transition of the vehicle fleet, the emissions reduction of electrification will far outweigh emissions embodied in EVCS components, even assuming relatively high carbon inputs prior to decarbonization.
Combinatorial development of antibacterial FeCoCr-Ag medium entropy alloy
Authors: Cao Jiashu , Jiang Xin , Zhang Qinghua , Yuan Fusen , Yu Jihao , Yang Fan , Li Mingxing , Wang Chao , Lu Ying , Li Ming , Wang Weihua , Liu Yanhui 
Published: March 2023

Abstract
Antibacterial activity and mechanical properties of FeCoCr-Ag medium entropy alloys were studied via combinatorial fabrication paired with high-throughput characterizations. It was found that the antibacterial activity and mechanical properties exhibit non-linear dependence on the content of Ag addition. Within the studied alloys, (FeCoCr)80Ag20 possesses an optimized combination of different properties for potential applications as antibacterial coating materials. The underlying mechanism is ascribed to the formation of a dual-phase structure that leads to competition between the role of Ag phase and FeCoCr phase at different Ag content. The results not only demonstrate the power and effectiveness of combinatorial methods in multi-parameter optimization but also indicate the potential of high entropy alloys as antibacterial materials.
The quality of geriatric rehabilitation from the patients’ perspective: a scoping review
Authors: Lubbe Anne L , van Rijn Marjon , Groen Wim G , Hilhorst Sophie , Burchell George L , Hertogh Cees M P M , Pol Margriet C 
Published: March 2023

AbstractBackgroundthe efficacy and outcomes of geriatric rehabilitation (GR) have previously been investigated. However, a systematic synthesis of the aspects that are important to patients regarding the quality of GR does not exist.Objectivethe aim of this scoping review was to systematically synthesise the patients’ perspective on the quality of GR.Methodswe followed the Scoping Review framework and gathered literature including a qualitative study design from multiple databases. The inclusion criteria were: a qualitative study design; a geriatric population; that patients had participated in a geriatric rehabilitation programme and that geriatric rehabilitation was assessed by the patient. The results sections of the included studies were analysed using a thematic analysis approach.Resultstwenty articles were included in this review. The main themes identified were: (i) the need for information about the rehabilitation process, (ii) the need for telling one’s story, (iii) the need for support (physical, psychological, social and how to cope with limitations), (iv) the need for shared decision-making and autonomy, (v) the need for a stimulating rehabilitation environment and (vi) the need for rehabilitation at home.Conclusionin this study, we identified the aspects that determine the quality of rehabilitation from the patient’s perspective, which may lead to a more holistic perspective on the quality of GR.
A universal framework for single-cell multi-omics data integration with graph convolutional networks
Authors: Gao Hongli , Zhang Bin , Liu Long , Li Shan , Gao Xin , Yu Bin 
Published: March 2023

Abstract
Single-cell omics data are growing at an unprecedented rate, whereas effective integration of them remains challenging due to different sequencing methods, quality, and expression pattern of each omics data. In this study, we propose a universal framework for the integration of single-cell multi-omics data based on graph convolutional network (GCN-SC). Among the multiple single-cell data, GCN-SC usually selects one data with the largest number of cells as the reference and the rest as the query dataset. It utilizes mutual nearest neighbor algorithm to identify cell-pairs, which provide connections between cells both within and across the reference and query datasets. A GCN algorithm further takes the mixed graph constructed from these cell-pairs to adjust count matrices from the query datasets. Finally, dimension reduction is performed by using non-negative matrix factorization before visualization. By applying GCN-SC on six datasets, we show that GCN-SC can effectively integrate sequencing data from multiple single-cell sequencing technologies, species or different omics, which outperforms the state-of-the-art methods, including Seurat, LIGER, GLUER and Pamona.
GENLIB: new function to simulate haplotype transmission in large complex genealogies
Authors: Rakesh Mohan , Vézina Hélène , Laprise Catherine , Freeman Ellen E , Burkett Kelly M , Roy-Gagnon Marie-Hélène 
Published: March 2023

AbstractSummaryFounder populations with deep genealogical data are well suited for investigating genetic variants contributing to diseases. Here, we present a major update of the genealogical analysis R package GENLIB, centered around a new function which can simulate the transmission of haplotypes from founders to probands along very large and complex user-specified genealogies.Availability and implementationThe latest update of the GENLIB package (v1.1.9) contains the new gen.simuHaplo() function and is available on the CRAN repository and from https://github.com/R-GENLIB/GENLIB. Examples can be accessed at https://github.com/R-GENLIB/simuhaplo_functions.
Decreased NOTCH1 signaling activated autophagy in the mid-secretory endometrium of patients with recurrent implantation failure
Authors: Yang Ziyao , Li Qi , Yuan Fan , Wang Mengying , Zhang Ruizhe , Chen Yiwen , Fu Wanting , Yang Qingling , Hu Linli 
Published: March 2023

Abstract
Recurrent implantation failure severely impairs fertility in females of childbearing age, which poses a great challenge to assisted reproductive technology, and its etiology is still unclear. Several studies have demonstrated that endometrial autophagy takes an important part in human endometrial receptivity, but its role in recurrent implantation failure remains largely unknown. Here, we collected mid-secretory endometrial tissue from recurrent implantation failure patients and fertile controls during menstruation and early pregnancy. Immunohistochemistry, western blotting, and quantitative real-time PCR were performed to compare the expression of microtubule-associated protein 1 light chain 3B, sequestosome 1, NOTCH1 signaling pathway members, and endometrial receptivity markers between recurrent implantation failure and control groups. In addition, to assess endometrial autophagy, transmission electron microscopy was used to observe autophagosomes. By RNA interference, we further investigated the effects of NOTCH1 on autophagy in Ishikawa cells. We found that endometrial autophagy was upregulated in the mid-secretory and decidual phases than in the early-proliferative phase. Compared to the control group, more autophagosomes were observed in the mid-secretory endometrium of recurrent implantation failure patients, which was accompanied by the downregulation of NOTCH1 signaling pathway members and endometrial receptivity markers. Moreover, knockdown of NOTCH1 impaired the receptivity of Ishikawa cells via protein kinase B/mammalian target of rapamycin pathway-mediated autophagy activation. Our data suggested that abnormally elevated autophagy and decreased NOTCH1 signaling pathway activity were observed in the mid-secretory endometrium of patients with recurrent implantation failure, perhaps due to decreased NOTCH1 pathway-mediated autophagy activation in endometrial cells impairing receptivity.
Living Naked in the Cold: New Insights into Metabolic Feasibility in Primeval Cultures
Authors: Hill Richard W 
Published: March 2023

AbstractThe people of three primeval cultures lived naked or nearly naked in regions where they experienced air temperatures of ± 5 degrees Celsius during cold seasons. These were the Australian Aboriginal peoples, the Bushmen of southern Africa, and the Yamana and the Alakaluf of Tierra del Fuego. Recent meta-analyses of data on human metabolic rate and metabolic endurance enable a quantitative demonstration of feasibility: Thermoregulation at winter air temperatures while naked was feasible in the three cultures for significantly longer than 50–180 days per year (sufficient for the duration of winter). Considering the life histories of the people, their estimated, time-averaged daily (24 hours) metabolic rates in winter were 2.6 times basal—similar to the highest daily rates empirically measured in extant peoples. Although the primeval peoples’ way of life was metabolically expensive, it was as feasible as the lifestyles of peoples in today's world who live at the upper bound of the metabolically possible.
Personal protective equipment-induced systemic hypercapnic hypoxaemia: translational implications for impaired cognitive–clinical functional performance
Authors: Luton Oliver W , Stacey Benjamin S , Mellor Katie , James Osian P , Williams Ian M , Warren Neil , Egan Richard J , Bailey Damian M , Lewis Wyn G 
Published: March 2023

Abstract

Background
Personal protective equipment (PPE) adversely affects pulmonary gas exchange and may result in systemic hypercapnic hypoxaemia and headache. This study aimed to determine what extent PPE affects cerebral symptoms, global cerebral blood flow, and cognitive functional performance.

Methods
Higher surgical trainees participated in a randomized, repeated-measures, crossover study, completing 60 min of laparoscopic surgical simulation in both standard operating attire and type 3 PPE. Measurements were collected at baseline and after 60 min of simulation. The primary outcome measure was headache. Headache was examined using the validated visual analogue scale (VAS) and Environmental Symptoms Questionnaire C (ESQ-C), global cerebral blood flow with duplex ultrasonography, and visuospatial and executive gross/fine motor function with grooved peg board (GPB) and laparoscopic bead (LSB) board tasks.

Results
Thirty-one higher surgical trainees (20 men, 11 women) completed the study. Compared with standard operating attire, PPE increased headache assessment scores (mean(s.d.) VAS score 3.5(5.6) versus 13.0(3.7), P &lt; 0.001; ESQ-C score 1.3(2.0) versus 5.9(5.1), P &lt; 0.001) and was associated with poorer completion times for GPB-D (61.4(12.0) versus 71.1(12.4) s; P = 0.034) and LSB (192.5(66.9) versus 270.7(135.3) s; P = 0.025) tasks. Wearing PPE increased heart rate (82.5(13.6) versus 93.5(13.0) beats/min; P = 0.022) and skin temperature (36.6(0.4) versus 37.1(0.5)°C; P &lt; 0.001), but decreased peripheral oxygen saturation (97.9(0.8) versus 96.8(1.0) per cent; P &lt; 0.001). Female higher surgical trainees exhibited higher peripheral oxygen saturation across all conditions. No differences were observed in global cerebral blood flow as a function of attire, time or sex.

Conclusion
Despite no marked changes in global cerebral blood flow, type 3 PPE was associated with increased headache scores and cerebral symptoms (VAS and ESQ-C) alongside impaired executive motor function highlighting the clinical implications of PPE-induced impairment for cognitive–clinical performance.
Investigating predictive coding in younger and older children using MEG and a multi-feature auditory oddball paradigm
Authors: Rapaport Hannah , Seymour Robert A , Benikos Nicholas , He Wei , Pellicano Elizabeth , Brock Jon , Sowman Paul F 
Published: March 2023

AbstractThere is mounting evidence for predictive coding theory from computational, neuroimaging, and psychological research. However, there remains a lack of research exploring how predictive brain function develops across childhood. To address this gap, we used pediatric magnetoencephalography to record the evoked magnetic fields of 18 younger children (M = 4.1 years) and 19 older children (M = 6.2 years) as they listened to a 12-min auditory oddball paradigm. For each child, we computed a mismatch field “MMF”: an electrophysiological component that is widely interpreted as a neural signature of predictive coding. At the sensor level, the older children showed significantly larger MMF amplitudes relative to the younger children. At the source level, the older children showed a significantly larger MMF amplitude in the right inferior frontal gyrus relative to the younger children, P &lt; 0.05. No differences were found in 2 other key regions (right primary auditory cortex and right superior temporal gyrus) thought to be involved in mismatch generation. These findings support the idea that predictive brain function develops during childhood, with increasing involvement of the frontal cortex in response to prediction errors. These findings contribute to a deeper understanding of the brain function underpinning child cognitive development.
Altered temporoparietal junction activity during reflected self-evaluation in sub-clinical depression
Authors: Lou Yixue , Chen Shengdong , Hu Guoqiang , Astikainen Piia , Otieno-Leppänen Susannah C S A , Lei Yi , Leppänen Paavo H T 
Published: March 2023

Abstract
Negative self-schema is a core symptom of depression. According to social psychological theories, two types of self-evaluations play important roles in forming the negative self-view: direct self-evaluation (that is, evaluating the self directly through one’s first-person perspective introspection) and reflected self-evaluation (which requires theory of mind (ToM) ability, and is evaluating the self through reflecting on a third person’s perspective). Although many previous studies have investigated the processing of the direct self-evaluation in depression, few have extended research on the reflected self-evaluation. In the current study, functional magnetic resonance imaging scans were acquired in 26 dysphoric (individuals with elevated number of depressive symptoms) and 28 control participants during both direct and reflected self-evaluation tasks. Two regions of interest were defined within bilateral temporoparietal junctions (TPJs) because their significant role in ToM. Results showed that the dysphoric participants evaluated themselves more negatively than the control participants, regardless of whose perspective they were taking. More importantly, the enhanced TPJs’ activations were observed in the control group during the reflected self-evaluation task versus the direct self-evaluation task, whereas no such difference was observed in the dysphoric participants. The results are interpreted in the framework of impaired ToM ability in sub-clinical depression.
General Scientific Summary (GSS)
Negative self-schema is one of the core symptoms of depression. This study suggests that the negative self-schema reflects not only in direct self-evaluation (i.e. evaluating the self via one’s own introspection) but also in reflected self-evaluation (i.e. evaluating the self via others’ perspective). Importantly, altered TPJ activity was found during a reflected self-evaluation task among individuals with depressive symptoms. These changes in brain function might be associated with impaired ToM ability in sub-clinical depression.
Initiative apathy trait underlies individual differences in the ability to anticipate and expend cognitive effort in cost-benefit decision-making tasks
Authors: Lafond-Brina Giulia , Pham Bich-Thuy , Bonnefond Anne 
Published: March 2023

Abstract
Initiative apathy is the most disabling form of apathy, prevalent both in neuropsychiatric pathologies and in the healthy population. This apathy has been specifically associated with functional abnormalities of the anterior cingulate cortex, a key structure underlying Effort-based Decision-Making (EDM). The main aim of the present study was to explore, for the first time, the cognitive and neural effort mechanisms of initiative apathy, by distinguishing the steps of effort anticipation and effort expenditure and the potential modulating effect of motivation. We conducted an EEG study in 23 subjects with specific subclinical initiative apathy and 24 healthy subjects with no apathy. The subjects had to complete two effort tasks. The analysis of behavioral choices, CNV, and mPFC theta power highlighted that initiative apathy is associated with effort avoidance and impairments of effort anticipation and effort expenditure that suggest EDM deficits. Better knowledge of these impairments should aid the development of new, more targeted therapeutic interventions necessary for reducing the debilitating consequences of initiative apathy.