bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early antiretroviral therapy favors post-treatment SIV control associated with the expansion of enhanced memory CD8+ T-cells
Authors: Passaes Caroline , Desjardins Delphine , Chapel Anaïs , Monceaux Valérie , Lemaitre Julien , Mélard Adeline , Perdomo-Celis Federico , Planchais Cyril , Gourvès Maël , Dimant Nastasia , David Annie , Dereuddre-Bosquet Nathalie , Barrail-Tran Aurélie , Gouget Hélène , Guillaume Céline , Relouzat Francis , Lambotte Olivier , Guedj Jérémie , Müller-Trutwin Michaela , Mouquet Hugo , Rouzioux Christine , Avettand-Fenoël Véronique , Le Grand Roger , Sáez-Cirión Asier 
Published: January 2024

AbstractHIV remission can be achieved in some people, called post-treatment HIV controllers, after antiretroviral treatment discontinuation. Treatment initiation close to the time of infection was suggested to favor post-treatment control, but the circumstances and mechanisms leading to this outcome remain unclear. Here we evaluate the impact of early (week 4) vs. late (week 24 post-infection) treatment initiation in SIVmac251-infected male cynomolgus macaques receiving 2 years of therapy before analytical treatment interruption. We show that early treatment strongly promotes post-treatment control, which is not related to a lower frequency of infected cells at treatment interruption. Rather, early treatment favors the development of long-term memory CD8+ T cells with enhanced proliferative and SIV suppressive capacity that are able to mediate a robust secondary-like response upon viral rebound. Our model allows us to formally demonstrate a link between treatment initiation during primary infection and the promotion of post-treatment control and provides results that may guide the development of new immunotherapies for HIV remission.
Commensurate and incommensurate 1D interacting quantum systems
Authors: Di Carli Andrea , Parsonage Christopher , La Rooij Arthur , Koehn Lennart , Ulm Clemens , Duncan Callum W. , Daley Andrew J. , Haller Elmar , Kuhr Stefan 
Published: January 2024

AbstractSingle-atom imaging resolution of many-body quantum systems in optical lattices is routinely achieved with quantum-gas microscopes. Key to their great versatility as quantum simulators is the ability to use engineered light potentials at the microscopic level. Here, we employ dynamically varying microscopic light potentials in a quantum-gas microscope to study commensurate and incommensurate 1D systems of interacting bosonic Rb atoms. Such incommensurate systems are analogous to doped insulating states that exhibit atom transport and compressibility. Initially, a commensurate system with unit filling and fixed atom number is prepared between two potential barriers. We deterministically create an incommensurate system by dynamically changing the position of the barriers such that the number of available lattice sites is reduced while retaining the atom number. Our systems are characterised by measuring the distribution of particles and holes as a function of the lattice filling, and interaction strength, and we probe the particle mobility by applying a bias potential. Our work provides the foundation for preparation of low-entropy states with controlled filling in optical-lattice experiments.
Direct RNA sequencing coupled with adaptive sampling enriches RNAs of interest in the transcriptome
Authors: Wang Jiaxu , Yang Lin , Cheng Anthony , Tham Cheng-Yong , Tan Wenting , Darmawan Jefferson , de Sessions Paola Florez , Wan Yue 
Published: January 2024

AbstractAbundant cellular transcripts occupy most of the sequencing reads in the transcriptome, making it challenging to assay for low-abundant transcripts. Here, we utilize the adaptive sampling function of Oxford Nanopore sequencing to selectively deplete and enrich RNAs of interest without biochemical manipulation before sequencing. Adaptive sampling performed on a pool of in vitro transcribed RNAs resulted in a net increase of 22-30% in the proportion of transcripts of interest in the population. Enriching and depleting different proportions of the Candida albicans transcriptome also resulted in a 11-13.5% increase in the number of reads on target transcripts, with longer and more abundant transcripts being more efficiently depleted. Depleting all currently annotated Candida albicans transcripts did not result in an absolute enrichment of remaining transcripts, although we identified 26 previously unknown transcripts and isoforms, 17 of which are antisense to existing transcripts. Further improvements in the adaptive sampling of RNAs will allow the technology to be widely applied to study RNAs of interest in diverse transcriptomes.
Ultra-selective uranium separation by in-situ formation of π-f conjugated 2D uranium-organic framework
Authors: Zhang Qing Yun , Zhang Lin Juan , Zhu Jian Qiu , Gong Le Le , Huang Zhe Cheng , Gao Feng , Wang Jian Qiang , Xie Xian Qing , Luo Feng 
Published: January 2024

AbstractWith the rapid development of nuclear energy, problems with uranium supply chain and nuclear waste accumulation have motivated researchers to improve uranium separation methods. Here we show a paradigm for such goal based on the in-situ formation of π-f conjugated two-dimensional uranium-organic framework. After screening five π-conjugated organic ligands, we find that 1,3,5-triformylphloroglucinol would be the best one to construct uranium-organic framework, thus resulting in 100% uranium removal from both high and low concentration with the residual concentration far below the WHO drinking water standard (15 ppb), and 97% uranium capture from natural seawater (3.3 ppb) with a record uptake efficiency of 0.64 mg·g−1·d−1. We also find that 1,3,5-triformylphloroglucinol can overcome the ion-interference issue such as the presence of massive interference ions or a 21-ions mixed solution. Our finds confirm the superiority of our separation approach over established ones, and will provide a fundamental molecule design for separation upon metal-organic framework chemistry.
Ultrasmall single-layered NbSe2 nanotubes flattened within a chemical-driven self-pressurized carbon nanotube
Authors: Jiang Yaxin , Xiong Hao , Ying Tianping , Tian Guo , Chen Xiao , Wei Fei 
Published: January 2024

AbstractPressure can alter interatomic distances and its electrostatic interactions, exerting a profound modifying effect on electron orbitals and bonding patterns. Conventional pressure engineering relies on compressions from external sources, which raises significant challenge in precisely applying pressure on individual molecules and also consume substantial mechanical energy. Here we report ultrasmall single-layered NbSe2 flat tubes (< 2.31 nm) created by self-pressurization during the deselenization of NbSe3 within carbon nanotubes (CNTs). As the internal force (4–17 GPa) is three orders of magnitude larger than the shear strength between CNTs, the flat tube is locked to prevent slippage. Electrical transport measurements indicate that the large pressure within CNTs induces enhanced intermolecular electron correlations. The strictly one-dimensional NbSe2 flat tubes harboring the Luttinger liquid (LL) state, showing a higher tunneling exponent $${\alpha }_{{NbS}{e}_{2}{{{{{\rm{@}}}}}}{CNT}}\approx 0.32$$

α

N
b
S

e

2

@
C
N
T

≈
0.32
than pure CNTs ($${\alpha }_{{CNT}}\approx 0.22$$

α

C
N
T

≈
0.22
). This work suggests a novel chemical approach to self-pressurization for generating new material configurations and modulating electron interactions.
Self-propelled assembly of nanoparticles with self-catalytic regulation for tumour-specific imaging and therapy
Authors: Xia Mengmeng , Wang Qiyue , Liu Yamin , Fang Chunyan , Zhang Bo , Yang Shengfei , Zhou Fu , Lin Peihua , Gu Mingzheng , Huang Canyu , Zhang Xiaojun , Li Fangyuan , Liu Hongying , Wang Guangfeng , Ling Daishun 
Published: January 2024

AbstractTargeted assembly of nanoparticles in biological systems holds great promise for disease-specific imaging and therapy. However, the current manipulation of nanoparticle dynamics is primarily limited to organic pericyclic reactions, which necessitate the introduction of synthetic functional groups as bioorthogonal handles on the nanoparticles, leading to complex and laborious design processes. Here, we report the synthesis of tyrosine (Tyr)-modified peptides-capped iodine (I) doped CuS nanoparticles (CuS-I@P1 NPs) as self-catalytic building blocks that undergo self-propelled assembly inside tumour cells via Tyr-Tyr condensation reactions catalyzed by the nanoparticles themselves. Upon cellular internalization, the CuS-I@P1 NPs undergo furin-guided condensation reactions, leading to the formation of CuS-I nanoparticle assemblies through dityrosine bond. The tumour-specific furin-instructed intracellular assembly of CuS-I NPs exhibits activatable dual-modal imaging capability and enhanced photothermal effect, enabling highly efficient imaging and therapy of tumours. The robust nanoparticle self-catalysis-regulated in situ assembly, facilitated by natural handles, offers the advantages of convenient fabrication, high reaction specificity, and biocompatibility, representing a generalizable strategy for target-specific activatable biomedical imaging and therapy.
Synergistic dual-phase air electrode enables high and durable performance of reversible proton ceramic electrochemical cells
Authors: Liu Zuoqing , Bai Yuesheng , Sun Hainan , Guan Daqin , Li Wenhuai , Huang Wei-Hsiang , Pao Chih-Wen , Hu Zhiwei , Yang Guangming , Zhu Yinlong , Ran Ran , Zhou Wei , Shao Zongping 
Published: January 2024

AbstractReversible proton ceramic electrochemical cells are promising solid-state ion devices for efficient power generation and energy storage, but necessitate effective air electrodes to accelerate the commercial application. Here, we construct a triple-conducting hybrid electrode through a stoichiometry tuning strategy, composed of a cubic phase Ba0.5Sr0.5Co0.8Fe0.2O3−δ and a hexagonal phase Ba4Sr4(Co0.8Fe0.2)4O16−δ. Unlike the common method of creating self-assembled hybrids by breaking through material tolerance limits, the strategy of adjusting the stoichiometric ratio of the A-site/B-site not only achieves strong interactions between hybrid phases, but also can efficiently modifies the phase contents. When operate as an air electrode for reversible proton ceramic electrochemical cell, the hybrid electrode with unique dual-phase synergy shows excellent electrochemical performance with a current density of 3.73 A cm−2 @ 1.3 V in electrolysis mode and a peak power density of 1.99 W cm−2 in fuel cell mode at 650 °C.
Nanoporous graphene-based thin-film microelectrodes for in vivo high-resolution neural recording and stimulation
Authors: Viana Damià , Walston Steven T. , Masvidal-Codina Eduard , Illa Xavi , Rodríguez-Meana Bruno , del Valle Jaume , Hayward Andrew , Dodd Abbie , Loret Thomas , Prats-Alfonso Elisabet , de la Oliva Natàlia , Palma Marie , del Corro Elena , del Pilar Bernicola María , Rodríguez-Lucas Elisa , Gener Thomas , de la Cruz Jose Manuel , Torres-Miranda Miguel , Duvan Fikret Taygun , Ria Nicola , Sperling Justin , Martí-Sánchez Sara , Spadaro Maria Chiara , Hébert Clément , Savage Sinead , Arbiol Jordi , Guimerà-Brunet Anton , Puig M. Victoria , Yvert Blaise , Navarro Xavier , Kostarelos Kostas , Garrido Jose A. 
Published: January 2024

AbstractOne of the critical factors determining the performance of neural interfaces is the electrode material used to establish electrical communication with the neural tissue, which needs to meet strict electrical, electrochemical, mechanical, biological and microfabrication compatibility requirements. This work presents a nanoporous graphene-based thin-film technology and its engineering to form flexible neural interfaces. The developed technology allows the fabrication of small microelectrodes (25 µm diameter) while achieving low impedance (∼25 kΩ) and high charge injection (3–5 mC cm−2). In vivo brain recording performance assessed in rodents reveals high-fidelity recordings (signal-to-noise ratio >10 dB for local field potentials), while stimulation performance assessed with an intrafascicular implant demonstrates low current thresholds (<100 µA) and high selectivity (>0.8) for activating subsets of axons within the rat sciatic nerve innervating tibialis anterior and plantar interosseous muscles. Furthermore, the tissue biocompatibility of the devices was validated by chronic epicortical (12 week) and intraneural (8 week) implantation. This work describes a graphene-based thin-film microelectrode technology and demonstrates its potential for high-precision and high-resolution neural interfacing.
RETRACTED ARTICLE: Luminescent solar concentrator efficiency enhanced via nearly lossless propagation pathways
Authors: Park Kyoungwon , Yi Jeongmin , Yoon Suk-Young , Park Seong Min , Kim Jiyong , Shin Hyun-Beom , Biswas Swarup , Yoo Gang Yeol , Moon Sang-Hwa , Kim Jiwan , Oh Min Suk , Wedel Armin , Jeong Sohee , Kim Hyeok , Oh Soong Ju , Kang Ho Kwan , Yang Heesun , Han Chul Jong 
Published: January 2024

AbstractLuminescent solar concentrators (LSCs) have the potential to serve as energy-harvesting windows in buildings. Although recent advances in nanotechnology have led to the emergence of novel fluorophores such as quantum dots, perovskites and others, the commercialization of such functional glass remains immature due to an insufficient power conversion efficiency. In other words, improvements in fluorophores alone cannot fully maximize the potential of LSCs. Here we introduce a new laminated type of LSC structure where a patterned low-refractive-index medium acts as an optical ‘guard rail’, providing a practically non-decaying path for guiding photons. We also propose the design rules regarding the dimensions of LSCs and the spectral characteristics of fluorophores. Once these rules were applied, we achieved record-high LSC performance. The measured external quantum efficiencies at 450 nm are 45% for a 100 cm2 area and 32% for the LSC with an edge aspect ratio of 71. The device efficiency is 7.6%, the highest value ever reported, to the best of our knowledge. These findings may have industrial implications and could accelerate the commercialization of LSCs.
Occupant behavior, thermal environment, and appliance electricity use of a single-family apartment in China
Authors: Wang Chuang , Li Xiaoyan , Sun Wei , An Jingjing , Gao Shufang 
Published: January 2024

AbstractThe household is the basic unit of a residential community or building. High-resolution, long-term open data are necessary to help study residential electricity consumption, smart home technologies, and electricity flexibility technologies at household level. This paper introduces an IoT-based data collection platform (IDCP) consisting of gateways, sensors, and cloud servers. This platform can collect data on the occupant presence, indoor environment, window-opening states, and appliance electricity consumption simultaneously. This study deployed the IDCP in a single-family apartment in Beijing, China, and compiled a dataset, namely, CN-OBEE, including data on the per-minute occupant behavior, thermal environment, and appliance electricity use of the apartment for an entire year (from May 31, 2021, to May 31, 2022), and hourly meteorological data collected by the nearest national weather station during the same period. This dataset is the first detailed and publicly available occupant behavior and electricity use dataset for Chinese homes. As a regional feature, the dataset compiled by this study includes window-opening behavior and the use of split air conditioners (ACs).
Fingerprinting hyperglycemia using predictive modelling approach based on low-cost routine CBC and CRP diagnostics
Authors: Tahir Amna , Asghar Kashif , Shafiq Waqas , Batool Hijab , Khan Dilawar , Chughtai Omar , Chaudhary Safee Ullah 
Published: January 2024

AbstractHyperglycemia is an outcome of dysregulated glucose homeostasis in the human body and may induce chronic elevation of blood glucose levels. Lifestyle factors such as overnutrition, physical inactivity, and psychosocials coupled with systemic low-grade inflammation have a strong negative impact on glucose homeostasis, in particular, insulin sensitivity. Together, these factors contribute to the pathophysiology of diabetes (DM) and expanding landscape of its prevalence regionally and globally. The rapid rise in the prevalence of type 2 diabetes, therefore, underscores the need for its early diagnosis and treatment. In this work, we have evaluated the discriminatory capacity of different diagnostic markers including inflammatory biomolecules and RBC (Red Blood Cell) indices in predicting the risk of hyperglycemia and borderline hyperglycemia. For that, 208,137 clinical diagnostic entries obtained over five years from Chugtai Labs, Pakistan, were retrospectively evaluated. The dataset included HbA1c (n = 142,011), complete blood count (CBC, n = 84,263), fasting blood glucose (FBG, n = 35,363), and C-reactive protein (CRP, n = 9035) tests. Our results provide four glycemic predictive models for two cohorts HbA1c and FBG) each having an overall predictive accuracy of more than 80% (p-value < 0.0001). Next, multivariate analysis (MANOVA) followed by univariate analysis (ANOVA) was employed to identify predictors with significant discriminatory capacity for different levels of glycemia. We show that the interplay between inflammation, hyperglycemic-induced derangements in RBC indices, and altered glucose homeostasis could be employed for prognosticating hyperglycemic outcomes. Our results then conclude a glycemic predictor with high sensitivity and specificity, employing inflammatory markers coupled with RBC indices, to predict glycemic outcomes (ROC p-value < 0.0001). Taken together, this study outlines a predictor of glycemic outcomes which could assist as a prophylactic intervention in predicting the early onset of hyperglycemia and borderline hyperglycemia.
Resveratrol attenuates high glucose-induced inflammation and improves glucose metabolism in HepG2 cells
Authors: Tshivhase Abegail Mukhethwa , Matsha Tandi , Raghubeer Shanel 
Published: January 2024

AbstractDiabetes mellitus (DM) is characterized by impaired glucose and insulin metabolism, resulting in chronic hyperglycemia. Hyperglycemia-induced inflammation is linked to the onset and progression of diabetes. Resveratrol (RES), a polyphenol phytoalexin, is studied in diabetes therapeutics research. This study evaluates the effect of RES on inflammation and glucose metabolism in HepG2 cells exposed to high glucose. Inflammation and glucose metabolism-related genes were investigated using qPCR. Further, inflammatory genes were analyzed by applying ELISA and Bioplex assays. High glucose significantly increases IKK-α, IKB-α, and NF-kB expression compared to controls. Increased NF-kB expression was followed by increased expression of pro-inflammatory cytokines, such as TNF-α, IL-6, IL-β, and COX2. RES treatment significantly reduced the expression of NF-kB, IKK-α, and IKB-α, as well as pro-inflammatory cytokines. High glucose levels reduced the expression of TGFβ1, while treatment with RES increased the expression of TGFβ1. As glucose levels increased, PEPCK expression was reduced, and GCK expression was increased in HepG2 cells treated with RES. Further, HepG2 cells cultured with high glucose showed significant increases in KLF7 and HIF1A but decreased SIRT1. Moreover, RES significantly increased SIRT1 expression and reduced KLF7 and HIF1A expression levels. Our results indicated that RES could attenuate high glucose-induced inflammation and enhance glucose metabolism in HepG2 cells.
Spatiotemporal lake area changes influenced by climate change over 40 years in the Korean Peninsula
Authors: Cho Myung Sik , Park Jinwoo 
Published: January 2024

AbstractWater resources in lakes of the Korean Peninsula play a significant role in society and ecosystems in both South and North Korea. This study characterized spatiotemporal changes in the lake area during the dry season (March–May) in the Korean Peninsula over the last 40 years. The satellite images (Landsat 5–9) were used to derive annual areas of 975 lakes during the dry season from 1984 to 2023. Our analysis indicated that the MNDWI is the optimal remote sensing-based index for delineating lake areas in the Korean Peninsula, with an overall accuracy of 92.3%. Based on the selected index, the total lake areas of the dry seasons have increased from 1070.7 km2 in 1984 to 1659.3 km2 in 2023, mainly due to newly constructed dam reservoirs. While the detailed changes in lake area vary, we found divergent results based on their sizes. The large lakes (> 10 km2) showed their area increased by 0.0473 km2 (0.1%) every year and have more influences from climate change. On the contrary, the small lakes (≤ 10 km2) have area decreases by 0.0006–0.006 km2 (0.15–0.5%) every year and have less influence from climate change. This study shows that the spatiotemporal lake area changes are determined by either climate change or human activity.
Transcranial static magnetic field stimulation over hMT+ inhibits visual motion discriminability
Authors: Takami Ayaka , Kawajiri Toshitaka , Komiyama Takaaki , Aoyama Chisa , Shimegi Satoshi 
Published: January 2024

AbstractVisuomotor performance acting on a moving target is fundamentally based on visual motion discriminability, and its neural basis is presumed to be human MT (hMT+), a motion vision center of the dorsal visual pathway. In this study, we investigated whether and how the accuracy and speed of motion discrimination are affected by applying transcranial static magnetic field stimulation (tSMS) to hMT+, which reduces cortical excitability. Sixteen participants performed a motion direction discrimination (MDD) task using a random dot kinematogram before (Pre-test) and during (During-test) application of the tSMS over left hMT+. The correct rate of the MDD task was significantly lower in the During-test compared to the Pre-test, an effect not seen with the sham condition. The inhibition effects were observed only for the right visual field corresponding to hMT+ in the stimulated hemisphere. On the other hand, no modulatory effect of tSMS was observed in the reaction time. We, therefore, demonstrated the inhibitory effect of tSMS on the left hMT+ impairs the accuracy but not the speed of motion information processing in the contralateral visual field.
Association of cartilage metabolism biomarkers and 25(OH)D levels with muscle biomechanical functions in professional rowers and canoeists
Authors: Ogurkowska Małgorzata , Podgórski Tomasz , Nowak Alicja 
Published: January 2024

AbstractThe purpose of the study was to assess the association of cartilage metabolism biomarkers and vitamin D metabolite levels with muscle biomechanical functions in professional rowers and canoeists. The serum levels of aggrecan, cartilage oligomeric matrix protein (COMP), and 25-hydroxyvitamin D (25(OH)D) were determined in elite male sweep-oar rowers (n = 24) and canoeists (n = 15). This was followed by a biomechanical study consisting in isometric measurement of peak torque (PT) of muscles involved in the rowing cycle in the athletes. There were found significant correlations of COMP with the ratio of trunk PT flexor to extensor (p < 0.05) and 25(OH)D with trunk PT—left rotators (p < 0.05), knee joints PT—left and right flexor (p ≤ 0.01), ratio of knee joint PT—right flexor to knee joint PT—right extensor (p < 0.05) in rowers and aggreccan with elbow joint PT of the right flexor (p ≤ 0.01) and extensor (p = 0.05) in canoeists. The correlations of COMP and aggrecan levels with PT of the muscle groups studied in rowers and canoeists indicate the importance of stabilizing the muscular system in cartilage metabolism. The relationship between 25(OH)D status and biomechanical parameters confirm that vitamin D plays an important role in maintaining skeletal muscle health.