bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distinct N7-methylguanosine profiles of circular RNAs in drug-resistant acute myeloid leukemia
Authors: Fu Jinqiu , Si Libo , Zhou Yao , Li Dong , Wang Ran 
Published: September 2023

AbstractPost-transcriptional methylation modifications, such as the N7-methylguanosine (m7G) modification, are increasingly acknowledged for their role in the development and resistance to chemotherapy in acute myeloid leukemia (AML). This study employed MeRIP-seq technology to investigate the m7G sites within circular RNAs (circRNAs) derived from human AML cells and drug-resistant AML cells, in order to identify these sites more comprehensively. In addition, a detailed analysis of the relationship between m7G and drug-resistant AML was conducted. The bioinformatics analysis was utilized to predict the functions of specific methylated transcripts. The findings revealed a significant difference in m7G level between AML cells and drug-resistant AML cells, suggesting a potentially critical role of m7G in circRNAs in drug-resistant AML development. The methylation of M7G could affect the circRNA-miRNA-mRNA co-expression during the development of AML resistance, which could further influence the regulation of resistance-associated target genes in AML. Furthermore, gene ontology analysis indicated that the distinct distribution pattern of circRNAs with m7G methylation in drug-resistant AML cells was correlated with metabolism-related pathways. These results suggested a potential association between drug-resistant AML and m7G methylation of circRNAs. Moreover, the results revealed a novel role of m7G RNA methylation in circRNAs in the progression of AML chemoresistance.
Undeveloped till soils in scree areas are an overlooked important phosphorus source for waters in alpine catchments
Authors: Kaňa Jiří , Kaštovská Eva , Choma Michal , Čapek Petr , Tahovská Karolina , Kopáček Jiří 
Published: September 2023

AbstractScree deposits in alpine catchments contain undeveloped till soils that are “hidden” between and under stones. These scree areas have no vegetation except for sparse lichen patches on stone surfaces, but the soils exhibit biological activity and active cycling of nitrogen (N), phosphorus (P), and organic carbon (C). We compared the chemical and biochemical properties of till soils in the scree areas (scree soils) with developed soils in alpine meadows (meadow soils) of 14 catchments in the alpine zone of the Tatra Mountains. The data showed that scree soils served as an important source of mobile P forms for waters in high elevation catchments. We then conducted a detailed soil survey focused on four selected alpine catchments with scree cover proportions > 30%. This study confirmed that scree soils have significantly higher concentrations of mobile P forms compared to meadow soils, and a high specific microbial activity directed towards the extraction of P with rapid turnover in the microbial biomass. The combination of these properties and the amounts of scree soils in high-elevation areas highlight their importance in overall biogeochemical P cycling in alpine catchments, and the terrestrial P export to receiving waters.
Honeybees’ foraging choices for nectar and pollen revealed by DNA metabarcoding
Authors: Leponiemi Matti , Freitak Dalial , Moreno-Torres Miguel , Pferschy-Wenzig Eva-Maria , Becker-Scarpitta Antoine , Tiusanen Mikko , Vesterinen Eero J. , Wirta Helena 
Published: September 2023

AbstractHoneybees are the most widespread managed pollinators of our food crops, and a crucial part of their well-being is a suitable diet. Yet, we do not know how they choose flowers to collect nectar or pollen from. Here we studied forty-three honeybee colonies in six apiaries over a summer, identifying the floral origins of honey and hive-stored pollen samples by DNA-metabarcoding. We recorded the available flowering plants and analyzed the specialized metabolites in honey. Overall, we find that honeybees use mostly the same plants for both nectar and pollen, yet per colony less than half of the plant genera are used for both nectar and pollen at a time. Across samples, on average fewer plant genera were used for pollen, but the composition was more variable among samples, suggesting higher selectivity for pollen sources. Of the available flowering plants, honeybees used only a fraction for either nectar or pollen foraging. The time of summer guided the plant choices the most, and the location impacted both the plants selected and the specialized metabolite composition in honey. Thus, honeybees are selective for both nectar and pollen, implicating a need of a wide variety of floral resources to choose an optimal diet from.
The regulatory role of cancer stem cell marker gene CXCR4 in the growth and metastasis of gastric cancer
Authors: Zhao Hongying , Jiang Rongke , Zhang Chunmei , Feng Zhijing , Wang Xue 
Published: September 2023

AbstractSingle-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (bulk RNA-seq) are increasingly used for screening genes involved in carcinogenesis due to their capacity for dissecting cellular heterogeneity. This study aims to reveal the molecular mechanism of the cancer stem cells (CSCs) marker gene CXCR4 in gastric cancer (GC) growth and metastasis through scRNA-seq combined with bulk RNA-seq. GC-related scRNA-seq data were downloaded from the GEO database, followed by UMAP cluster analysis. Non-malignant cells were excluded by the K-means algorithm. Bulk RNA-seq data and clinical sample information were downloaded from the UCSC Xena database. GO and KEGG pathway analyses validated the correlation between genes and pathways. In vitro and in vivo functional assays were used to examine the effect of perturbed CXCR4 on malignant phenotypes, tumorigenesis, and liver metastasis. A large number of highly variable genes were identified in GC tissue samples. The top 20 principal components were selected, and the cells were clustered into 6 cell types. The C4 cell cluster from malignant epithelial cells might be CSCs. CXCR4 was singled out as a marker gene of CSCs. GC patients with high CXCR4 expression had poor survival. Knockdown of CXCR4 inhibited the malignant phenotypes of CSCs in vitro and curtailed tumorigenesis and liver metastasis in nude mice. CSC marker gene CXCR4 may be a key gene facilitating malignant phenotypes of CSCs, which thus promotes tumor growth and liver metastasis of GC.
Nitrogen-vacancy magnetometry of CrSBr by diamond membrane transfer
Authors: Ghiasi Talieh S. , Borst Michael , Kurdi Samer , Simon Brecht G. , Bertelli Iacopo , Boix-Constant Carla , Mañas-Valero Samuel , van der Zant Herre S. J. , van der Sar Toeno 
Published: September 2023

AbstractMagnetic imaging using nitrogen-vacancy (NV) spins in diamonds is a powerful technique for acquiring quantitative information about sub-micron scale magnetic order. A major challenge for its application in the research on two-dimensional (2D) magnets is the positioning of the NV centers at a well-defined, nanoscale distance to the target material required for detecting the small magnetic fields generated by magnetic monolayers. Here, we develop a diamond “dry-transfer” technique akin to the state-of-the-art 2D-materials assembly methods and use it to place a diamond micro-membrane in direct contact with the 2D interlayer antiferromagnet CrSBr. We harness the resulting NV-sample proximity to spatially resolve the magnetic stray fields generated by the CrSBr, present only where the CrSBr thickness changes by an odd number of layers. From the magnetic stray field of a single uncompensated ferromagnetic layer in the CrSBr, we extract a monolayer magnetization of MCSB = 0.46(2) T, without the need for exfoliation of monolayer crystals or applying large external magnetic fields. The ability to deterministically place NV-ensemble sensors into contact with target materials and detect ferromagnetic monolayer magnetizations paves the way for quantitative analysis of a wide range of 2D magnets assembled on arbitrary target substrates.
Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN
Authors: Triantafyllidis Eleftherios , Acero Fernando , Liu Zhaocheng , Li Zhibin 
Published: September 2023

AbstractSolving long sequential tasks remains a non-trivial challenge in the field of embodied artificial intelligence. Enabling a robotic system to perform diverse sequential tasks with a broad range of manipulation skills is a notable open problem and continues to be an active area of research. In this work, we present a hybrid hierarchical learning framework, the robotic manipulation network ROMAN, to address the challenge of solving multiple complex tasks over long time horizons in robotic manipulation. By integrating behavioural cloning, imitation learning and reinforcement learning, ROMAN achieves task versatility and robust failure recovery. It consists of a central manipulation network that coordinates an ensemble of various neural networks, each specializing in different recombinable subtasks to generate their correct in-sequence actions, to solve complex long-horizon manipulation tasks. Our experiments show that, by orchestrating and activating these specialized manipulation experts, ROMAN generates correct sequential activations accomplishing long sequences of sophisticated manipulation tasks and achieving adaptive behaviours beyond demonstrations, while exhibiting robustness to various sensory noises. These results highlight the significance and versatility of ROMAN’s dynamic adaptability featuring autonomous failure recovery capabilities, and underline its potential for various autonomous manipulation tasks that require adaptive motor skills.
A Mixed-Methods Exploration of the Experience of People With Aphasia Using Text-to-Speech Technology to Support Virtual Book Club Participation
Authors: Wallace Sarah E. , Hux Karen , Knollman-Porter Kelly , Patterson Briana , Brown Jessica A. 
Published: September 2023

Purpose:
This mixed-methods research sought to examine the experience of people with aphasia who used text-to-speech (TTS) support to read a novel for virtual book club participation.

Method:
Six people with chronic aphasia used a TTS system to review portions of a novel about which they conversed during eight virtual book club meetings occurring over 5 weeks. During one-on-one interactions prior to each meeting, participants answered comprehension questions and provided feedback about reading experiences. Then, during group meetings, they reviewed and discussed relevant book content and predicted upcoming content. During a structured individual interview, participants reflected on their supported reading and book club experience.

Results:
Participants reported a range of reading confidence prior to study participation, mostly influenced by decreased comprehension or reading speed. After book club participation, four participants expressed increased confidence. Some reported searching for key words and skipping difficult words as strategies additional to TTS support. All reviewed at least some book sections more than once either with or without TTS support. Highly motivated participants expressed low frustration and high reading ease and enjoyment. Perceived comprehension was roughly consistent with actual comprehension across participants. Most believed TTS support promoted faster reading than otherwise possible. Participants liked adjustable features affecting speech output rate, word or sentence highlighting, and font size. Psychosocial benefits included decreased isolation and increased friendship.

Conclusions:
The findings extend previous evidence about perceived and actual benefits associated with TTS support. People with aphasia express positive experiences when given TTS support during book club participation.
High‐accuracy DOA estimation via parallel sparse nested array with extended aperture and reduced mutual coupling
Authors: Yang Yunlong , Jiang Guojun 
Published: September 2023

AbstractThis letter proposes a novel parallel sparse nested array and then provides a matrix reconstruction‐based method with three steps, to enhance the performance of direction of arrival (DOA) estimation in practice. The spacings between the closest antennas along x‐ and y‐axes, are coprime and much greater than half‐wavelength in the proposed array, which contributes to efficiently eliminate the mutual coupling and achieve larger aperture with limited physical antennas. By using the oblique projection operator with iteration, the proposed method can employ all items of covariance matrix of the received data to construct a virtual covariance matrix with increased degrees of freedom, for effectively improving angle estimation performance. Then the unique and high‐accuracy DOA estimation is obtained via the coprime‐ness. The simulation results show the superiority of the proposed array and method for DOA estimation in the presence of mutual coupling and limited antennas.
Two‐stage personalized federated learning based on sparse pretraining
Authors: Liu Tong , Xie Kaixuan , Kong Yi , Chen Guojun , Xu Yinfei , Xin Lun , Yu Fei 
Published: September 2023

AbstractAiming at solving the performance degradation of federated learning (FL) under heterogeneous data distribution, personalized FL (PFL) was proposed. It is designed to produce a dedicated model for each client. However, the existing PFL solution only focuses on the performance of personalized model, ignoring the performance of global model, which will affect the willingness of new clients to participate. In order to solve this problem, this paper proposes a new PFL solution, a two‐stage PFL based on sparse pretraining, which can not only train a sparse personalized model for each client, but also obtain a sparse global model. The whole training process is divided into sparse pretraining and sparse personalized training, which focus on the performance of global model and personalized model respectively. Also, we propose a mask sparse aggregation technique to maintain the sparsity of the global model in the sparse personalized training stage. Experimental results show that compared with existing algorithms, our proposed algorithm can improve the accuracy of the global model while maintaining advanced personalized model accuracy, and has higher communication efficiency.
Collaborative and effective scheduling of integrated energy systems with consideration of carbon restrictions
Authors: Meng Qinglin , Xu Jing , Luo Fengzhang , Jin Xiaolong , Xu Liang , Yao Wei , Jin Shangting 
Published: September 2023

AbstractTo address the balancing challenge of real‐time power demand and supply in power systems caused by unpredictable output fluctuations of renewable energies, collaborative and effective scheduling of integrated energy systems is proposed with consideration for carbon restrictions. The model incorporates various energy resources, including cold, heat, electricity, and gas, and overcomes the barriers among different levels of heterogeneous energy grid systems. This makes it possible to coordinate the vertical complementarity of source‐grid‐load‐storage and the horizontal complementarity of multi‐energy while taking into account investment costs and carbon trading to achieve the economic operation of the system. This analysis shows that the proposed model can dissipate the excess of new energy generation from the grid. and achieve a balance between supply and demand, while effectively reducing the economic operation cost of the whole system.
A unified model for the fairness mechanism‐based coordinated vehicle route guidance
Authors: Zhang Le , Khalgui Mohamed , Li Zhiwu , Zheng Shanshui , Zhang Yongsheng 
Published: September 2023

AbstractCoordinated vehicle route guidance is recognized as an effective way to alleviate the Braess' paradox that new congestion is generated since numerous vehicles obey the same guidance from Google Maps. In conventional route games, decision‐makers are assumed to be completely rational (maximized utility is taken as an optimization objective). However, behavioral research finds that not only the expected profit is pursued, but also the fairness psychology is concerned by decision‐makers in game theory. In existing studies, the fairness concern of players is widely accepted in supply chains. Inspired by the fairness psychology of supply chain members, the vehicle fairness coefficient is originally proposed in this paper. Moreover, a unified fairness mechanism of the routing game is built to perfect the existing theoretical framework of route games. Specifically, the formulated vehicle fairness coefficient is incorporated into the payoff functions of a perfectly rational‐based routing game, which makes the single‐objective problem to be multiple. Compared with the current completely rational‐based route games, this improvement allows vehicles to focus not only on travel time but also on route schemes' fairness. The consideration of vehicle fairness concern leads the original symmetric payoff matrix of the route game to be asymmetric. Since the existing solving theorems are not necessarily valid for the asymmetrical multi‐player game, a matched reinforcement learning algorithm is adopted to solve this new game. An experimental study shows that the averaged fairness coefficient is increased from 0.798 to 1.00 on the basis of the equal travel time due to the working of the designed fairness mechanism.
Transjuguläre Nierenbiopsie
Authors: Maßmann Alexander , Koniker Alina , Backes Maik , Kraft Leonie , Ketteler Markus , Latus Jörg 
Published: September 2023

ZUSAMMENFASSUNGDie Nierenbiopsie ist eine integrale Maßnahme zur richtungsweisenden Diagnostik und Prognose. In der klinischen Routine ist die perkutane, sonografisch gesteuerte Durchführung fest etabliert. Eine gefürchtete Komplikation der Nierenbiopsie ist eine assoziierte relevante Blutung. Bei erhöhtem Blutungsrisiko bietet die transvenöse transjuguläre Nierenbiopsie (TJNB) eine unkomplizierte Alternative, die eine höhere Sicherheit und vergleichbare klinische Ergebnisse aufweist. In diesem Beitrag erhalten Sie einen Überblick über Empfehlungen zu den Indikationen, die Technik und die Ergebnisse im Vergleich zur üblichen perkutanen Nierenbiopsie.
Positive Effects of Physical Activity on Prescription on Glycemic Control, Fitness, and Quality of Life in Newly Diagnosed Type 2 Diabetic Patients
Authors: Nguyen Tam Ngoc , Vu Huyen Thi Thanh , Khuong Long Quynh , van der Ploeg Ingeborg , Sundberg Carl Johan 
Published: September 2023

AbstractThe aim was to investigate the effects of physical activity on prescription (PAP) compared with standard care (SC) in adult drug-naïve T2D patients. A randomized control trial was conducted with drug-naïve T2D patients attending an out-patient clinic Vietnam. Participants were randomly assigned to the PAP group (n+=+44) or the SC group (n+=+43). The PAP group received individualized recommendations for PA, intensive face-to-face training every two weeks. The SC group received the standard recommendations according to WHO guidelines. The mean HbA1c level change was larger (–10.6±6.4 mmol/mol) in the PAP group than in the SC group (–2.4±5.8 mmol/mol) (p<0.001). A one thousand step counts per day increase was significantly associated with a decrease of –2.43 mmol/mol in HbA1c [β=–2.43, 95%CI: (–2.94, –1.92]) in the PAP group. The fasting plasma glucose levels of the PAP group decreased significantly compared with the SC group. The VO2-max increased significantly more in the PAP group than in the SC group. PAP had clear positive effects on health-related Quality of Life [mean between group difference: 9.54 (95%CI 5.84,13.23)]. Insulin resistance, BMI, waist circumference, total cholesterol, LDL cholesterol and triglycerides were significantly more decreased in the PAP group than in the control group. In conclusion, the fact that even a small change in mean step counts over three months had a beneficial effect on health-related outcomes in drug-naïve T2D patients can have large implications for treatment and management practices, not least in a middle-income country like Vietnam.
‘I think’ in Swedish L1 and L2 group interactions
Authors: Tolvanen Eveliina 
Published: September 2023

Abstract
This cross-sectional study explores the phrase jag tänker ‘I think/cogitate’ in Swedish
talk-in-interaction and compares it with two similar phrases, jag tycker ‘I think/find’ and jag
tror ‘I think/believe/guess’. It consists of a quantitative overview of the three phrases and a qualitative,
interactionally informed analysis of jag tänker in task-based group conversations with L1 and L2 speakers of
Swedish. The results show that jag tänker has a stance-taking function in L1 interactions and projects more talk,
which typically accounts for the reasoning behind the point the speaker is making. However, the L2 speakers do not use jag
tänker as a stance-taking phrase; instead, they may deploy jag tror or jag tycker
to project turns that accomplish similar actions to those that the L1 speakers accomplish with jag tänker.
The 2022 mega heatwave in South Asia in the observed and projected future climate
Authors: Aadhar Saran , Mishra Vimal 
Published: September 2023

Abstract
The heatwave in 2022 in South Asia disrupted the lives of millions of people and posed challenges to human health, energy, water, and food security. However, mega heatwaves’ causes, impacts, and occurrence (like in 2022) remain largely unrecognized. Here, we analyzed the 2022 heatwave, its mechanisms, and future likelihood using observational datasets and climate model simulations. In the last few years, the frequency and duration of heatwaves have significantly increased in South Asia. South Asia faced five continuous heatwave spells that lasted about 35 d during late February and April 2022, affecting a large part of the region. The year 2022 heatwave was unprecedented that caused a deficit in soil moisture and crop yield. Moreover, our results show that the excessive radiative heating of arid and semi-arid regions resulted in a high geopotential height and low pressure in South Asia during the 2022 mega heatwave. The climate model simulations show that such mega heatwaves are projected to become more frequent under the warmer world, and their time of emergence could be as early as the 2030s under the highest emission scenario. Earlier occurrences of mega heatwaves in the future will pose considerable adaptation challenges for food and water security in the region.