bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revealing myopathy spectrum: integrating transcriptional and clinical features of human skeletal muscles with varying health conditions
Authors: Zhong Huahua , Sian Veronica , Johari Mridul , Katayama Shintaro , Oghabian Ali , Jonson Per Harald , Hackman Peter , Savarese Marco , Udd Bjarne 
Published: April 2024

AbstractMyopathy refers to a large group of heterogeneous, rare muscle diseases. Bulk RNA-sequencing has been utilized for the diagnosis and research of these diseases for many years. However, the existing valuable sequencing data often lack integration and clinical interpretation. In this study, we integrated bulk RNA-sequencing data from 1221 human skeletal muscles (292 with myopathies, 929 controls) from both databases and our local samples. By applying a method similar to single-cell analysis, we revealed a general spectrum of muscle diseases, ranging from healthy to mild disease, moderate muscle wasting, and severe muscle disease. This spectrum was further partly validated in three specific myopathies (97 muscles) through clinical features including trinucleotide repeat expansion, magnetic resonance imaging fat fraction, pathology, and clinical severity scores. This spectrum helped us identify 234 genuinely healthy muscles as unprecedented controls, providing a new perspective for deciphering the hallmark genes and pathways among different myopathies. The newly identified featured genes of general myopathy, inclusion body myositis, and titinopathy were highly expressed in our local muscles, as validated by quantitative polymerase chain reaction.
Functionalizing tandem mass tags for streamlining click-based quantitative chemoproteomics
Authors: Burton Nikolas R. , Backus Keriann M. 
Published: April 2024

AbstractMapping the ligandability or potential druggability of all proteins in the human proteome is a central goal of mass spectrometry-based covalent chemoproteomics. Achieving this ambitious objective requires high throughput and high coverage sample preparation and liquid chromatography-tandem mass spectrometry analysis for hundreds to thousands of reactive compounds and chemical probes. Conducting chemoproteomic screens at this scale benefits from technical innovations that achieve increased sample throughput. Here we realize this vision by establishing the silane-based cleavable linkers for isotopically-labeled proteomics-tandem mass tag (sCIP-TMT) proteomic platform, which is distinguished by early sample pooling that increases sample preparation throughput. sCIP-TMT pairs a custom click-compatible sCIP capture reagent that is readily functionalized in high yield with commercially available TMT reagents. Synthesis and benchmarking of a 10-plex set of sCIP-TMT reveal a substantial decrease in sample preparation time together with high coverage and high accuracy quantification. By screening a focused set of four cysteine-reactive electrophiles, we demonstrate the utility of sCIP-TMT for chemoproteomic target hunting, identifying 789 total liganded cysteines. Distinguished by its compatibility with established enrichment and quantification protocols, we expect sCIP-TMT will readily translate to a wide range of covalent chemoproteomic applications.
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors
Authors: Pata Joosep , Wulff Eric , Mokhtar Farouk , Southwick David , Zhang Mengke , Girone Maria , Duarte Javier 
Published: April 2024

AbstractEfficient and accurate algorithms are necessary to reconstruct particles in the highly granular detectors anticipated at the High-Luminosity Large Hadron Collider and the Future Circular Collider. We study scalable machine learning models for event reconstruction in electron-positron collisions based on a full detector simulation. Particle-flow reconstruction can be formulated as a supervised learning task using tracks and calorimeter clusters. We compare a graph neural network and kernel-based transformer and demonstrate that we can avoid quadratic operations while achieving realistic reconstruction. We show that hyperparameter tuning significantly improves the performance of the models. The best graph neural network model shows improvement in the jet transverse momentum resolution by up to 50% compared to the rule-based algorithm. The resulting model is portable across Nvidia, AMD and Habana hardware. Accurate and fast machine-learning based reconstruction can significantly improve future measurements at colliders.
Ocean acidification offsets the effect of warming on sediment denitrification and associated nitrous oxide production
Authors: Simone Michelle Nicole , Erler Dirk Vincent , Schulz Kai Georg , Oakes Joanne Margaret , Eyre Bradley David 
Published: April 2024

AbstractRates of denitrification and associated nitrous oxide (N2O) production are expected to increase with global warming, leading to positive climate feedback. However, previous studies have not considered the combined effect of ocean acidification (OA, pCO2 ~ 900 µatm) and warming on denitrification rates and N2O production. Here we used a series of whole core incubation studies to assess the combined impact of warming and OA on estuarine sediment denitrification rates and N2O production. Strong warming (+5 °C over mean in situ conditions) increased N2O production by ~4.2 µmol-N m−2 d−1 and denitrification by ~43 µmol-N m−2 d−1, fuelled by water column nitrate (Dw), but decreased rates of nitrification-coupled denitrification in the sediment (Dn) by ~82 µmol-N m−2 d−1. While Dn was not affected by OA, Dw decreased significantly by 51 µmol-N m−2 d−1 when OA was coupled with warmer temperatures. We estimate that OA may offset the increase in estuarine sediment denitrification and N2O production expected from warming alone by up to 64% and reduce a potential positive climate feedback loop by inhibiting denitrification pathways.
Statistically significant difference between earthquake size distributions of independent and triggered seismicity
Authors: Taroni Matteo , Console Rodolfo , Montuori Caterina , Murru Maura , Falcone Giuseppe , Chiaraluce Lauro , Pastoressa Anna Eliana 
Published: April 2024

AbstractThe Alto Tiberina Fault system, located in Central Italy, is an active structure about 60 km long composed of a principal low-angle normal fault and several minor synthetic and antithetic splays. The system is monitored by a dense seismic network, giving us the opportunity to construct high-definition seismic catalogs with a low completeness magnitude. We analyze the clustering properties of the 2010-2015 seismicity by using a 3D stochastic declustering algorithm that also includes the earthquakes’ depth. We demonstrate that the earthquake size distribution is strongly correlated with the clustering of seismic events and their depth; in particular, the principal fault and secondary faults show an opposite behavior both in terms of earthquake size distribution and clustering properties.
Are there distinct levels of language comprehension in autistic individuals – cluster analysis
Authors: Vyshedskiy Andrey , Venkatesh Rohan , Khokhlovich Edward 
Published: April 2024

AbstractAutism is a neurodevelopmental condition characterized by deficits in social communication. We assessed 14-language comprehension abilities in 31,845 autistic individuals 4 to 21 years of age using parent-generated reports. Data-driven cluster analysis identified three distinct levels of language comprehension: (1) individuals in the command-language-phenotype were limited to comprehension of simple commands; (2) individuals in the modifier-language-phenotype showed additional comprehension of color, size, and number modifiers; 3) individuals in the most-advanced syntactic-language-phenotype added comprehension of spatial prepositions, verb tenses, flexible syntax, possessive pronouns, and complex narratives. The observation of three distinct language levels was consistent across different age groups. Autistic individuals’ communication level is currently commonly characterized as nonverbal, minimally-verbal, or verbal. This one-dimensional description is not ideal for characterizing an individual’s communication ability. In fact, a nonverbal individual with syntactic-language-phenotype may have normal ability to communicate albeit nonverbally, while a verbal person with command-language-phenotype does not have a normal ability to communicate by any means. Identification of the three distinct language-comprehension-phenotypes provides an opportunity to enhance characterization of individuals’ communication level. A composite description in terms of both, verbal abilities and a language-comprehension-level, will not only be more precise, but can improve language therapy by focusing it on both aspects of language development.
DNAJC9 prevents CENP-A mislocalization and chromosomal instability by maintaining the fidelity of histone supply chains
Authors: Balachandra Vinutha , Shrestha Roshan L , Hammond Colin M , Lin Shinjen , Hendriks Ivo A , Sethi Subhash Chandra , Chen Lu , Sevilla Samantha , Caplen Natasha J , Chari Raj , Karpova Tatiana S , McKinnon Katherine , Todd Matthew AM , Koparde Vishal , Cheng Ken Chih-Chien , Nielsen Michael L , Groth Anja , Basrai Munira A 
Published: April 2024

AbstractThe centromeric histone H3 variant CENP-A is overexpressed in many cancers. The mislocalization of CENP-A to noncentromeric regions contributes to chromosomal instability (CIN), a hallmark of cancer. However, pathways that promote or prevent CENP-A mislocalization remain poorly defined. Here, we performed a genome-wide RNAi screen for regulators of CENP-A localization which identified DNAJC9, a J-domain protein implicated in histone H3–H4 protein folding, as a factor restricting CENP-A mislocalization. Cells lacking DNAJC9 exhibit mislocalization of CENP-A throughout the genome, and CIN phenotypes. Global interactome analysis showed that DNAJC9 depletion promotes the interaction of CENP-A with the DNA-replication-associated histone chaperone MCM2. CENP-A mislocalization upon DNAJC9 depletion was dependent on MCM2, defining MCM2 as a driver of CENP-A deposition at ectopic sites when H3–H4 supply chains are disrupted. Cells depleted for histone H3.3, also exhibit CENP-A mislocalization. In summary, we have defined novel factors that prevent mislocalization of CENP-A, and demonstrated that the integrity of H3–H4 supply chains regulated by histone chaperones such as DNAJC9 restrict CENP-A mislocalization and CIN.
The phosphatase inhibitor LB-100 creates neoantigens in colon cancer cells through perturbation of mRNA splicing
Authors: Dias Matheus H , Liudkovska Vladyslava , Montenegro Navarro Jasmine , Giebel Lisanne , Champagne Julien , Papagianni Chrysa , Bleijerveld Onno B , Velds Arno , Agami Reuven , Bernards René , Cieśla Maciej 
Published: April 2024

AbstractPerturbation of protein phosphorylation represents an attractive approach to cancer treatment. Besides kinase inhibitors, protein phosphatase inhibitors have been shown to have anti-cancer activity. A prime example is the small molecule LB-100, an inhibitor of protein phosphatases 2A/5 (PP2A/PP5), enzymes that affect cellular physiology. LB-100 has proven effective in pre-clinical models in combination with immunotherapy, but the molecular underpinnings of this synergy remain understood poorly. We report here a sensitivity of the mRNA splicing machinery to phosphorylation changes in response to LB-100 in colorectal adenocarcinoma. We observe enrichment for differentially phosphorylated sites within cancer-critical splicing nodes of U2 snRNP, SRSF and hnRNP proteins. Altered phosphorylation endows LB-100-treated colorectal adenocarcinoma cells with differential splicing patterns. In PP2A-inhibited cells, over 1000 events of exon skipping and intron retention affect regulators of genomic integrity. Finally, we show that LB-100-evoked alternative splicing leads to neoantigens that are presented by MHC class 1 at the cell surface. Our findings provide a potential explanation for the pre-clinical and clinical observations that LB-100 sensitizes cancer cells to immune checkpoint blockade.
Exploring the effect of a pendent amine group poised over the secondary coordination sphere of a cobalt complex on the electrocatalytic hydrogen evolution reaction
Authors: Ali Afsar , Verma Rajaneesh Kumar , Das Avijit , Paria Sayantan 
Published: April 2024

A tert-amine group poised over the secondary coordination sphere of a Co complex works as a proton relay site in the electrocatalytic hydrogen evolution reaction.
Construction of secure adaptive frequency hopping sequence sets based on AES algorithm
Authors: Song Dongpo , Wei Peng , Fu Yongming , Wang Shilian 
Published: April 2024

AbstractCommunication security has become particularly crucial with the rapid development of the Internet of Things (IoT). Frequency hopping spread spectrum (FHSS) technology, a prevalent method in wireless communication, has a wide range of applications in the Internet of Things. Enhancing the security of frequency hopping sequences is an essential means to improve the security of frequency hopping communication in the Internet of Things, as the performance of frequency hopping sequences plays a crucial role in frequency hopping systems. This paper proposes constructing secure adaptive frequency hopping sequence sets based on the advanced encryption standard (AES) algorithm. As a block cipher algorithm with superior security, the AES algorithm can provide a fundamental guarantee for the security of the proposed frequency hopping sequences. The mapping methods from ciphertext sequences to frequency hopping sequences proposed in this paper can achieve the construction of frequency hopping sequences of any frequency set size to meet the requirements of adaptive frequency hopping. In addition, we also model and analyse the problem of overlapping spectrum band of the IoT groups in the industrial, scientific, and medical (ISM) band, aiming to achieve better packet transmission performance by adjusting the frequency set size.
Instance segmentation by blend U‐Net and VOLO network
Authors: Deng Hongfei , Wen Bin , Wang Rui , Feng Zuwei 
Published: April 2024

AbstractInstance segmentation is still challengeable to correctly distinguish different instances on overlapping, dense and large number of target objects. To address this, the authors simplify the instance segmentation problem to an instance classification problem and propose a novel end‐to‐end trained instance segmentation algorithm CotuNet. Firstly, the algorithm combines convolutional neural networks (CNN), Outlooker and Transformer to design a new hybrid Encoder (COT) to further feature extraction. It consists of extracting low‐level features of the image using CNN, which is passed through the Outlooker to extract more refined local data representations. Then global contextual information is generated by aggregating the data representations in local space using Transformer. Finally, the combination of cascaded upsampling and skip connection modules is used as Decoders (C‐UP) to enable the blend of multiple different scales of high‐resolution information to generate accurate masks. By validating on the CVPPP 2017 dataset and comparing with previous state‐of‐the‐art methods, CotuNet shows superior competitiveness and segmentation performance.
Output quality improvement for single‐phase inverter in V2G system
Authors: Wang Yipei , Liu Ancheng , Kwak A‐Rim , Park Sung‐Jun 
Published: April 2024

AbstractIn vehicle‐to‐grid (V2G) applications, a voltage source inverter (VSI) directly connects to a residential load or grid for DC/AC conversion and power flow control. In VSI, dead‐time is employed to prevent the breakdown of switching devices, however, the introduction of dead‐time leads to distortions of output voltage and current in both stand‐alone and grid‐tie modes. For the case of a power factor of 1, by analyzing the dead‐time effect of digital‐controlled double‐frequency sinusoidal pulse width modulation, a compensation amount is proposed to introduce in the modulation signals, the value of which is half of the delay register that generates a dead‐time of td. Moreover, considering the phase delay caused by hardware and software filtering in sampling, the grid‐tie mode control strategy based on dead‐time compensation is further proposed, which introduces the grid voltage as a feedforward signal. A 3.5 kW V2G experimental prototype is built and tested to verify the feasibility of the proposed strategies. The simulation and experimental results show that the proposed methods are effective for both modes, which improve the output distortion for different dead‐time without additional hardware circuits.
RETRACTED: Analyzing the economic value of BIM technology in urban real estate adjudication through Meta
Authors: Yuhao Jiang , Nikolayevich Kovshar Sergey , Holubava Volha 
Published: April 2024

This article has been retracted because it substantially reflects the content and analysis of the following original article, without reference to it:
Jafary, P., Shojaei, D., Rajabifard, A., Ngo, T., 2024. BIM and real estate valuation: challenges, potentials and lessons for future directions. Engineering, Construction and Architectural Management 31, 1642-1677. https://doi.org/10.1108/ECAM-07-2022-0642
Retraction approved by the Editor and the Publisher on October 10, 2024.
Cutaneous Warts Treated with Individualised Homoeopathic Medicine: A Case Series
Authors: Ram Hanuman , Singh Uttam , Tuteja Sonia , Singh Anuradha , Singh Shweta 
Published: April 2024

AbstractCutaneous warts are visible growths on the skin caused by infection of keratinocytes caused by the human papilloma virus. They appear in various forms on different locations on the skin and mucous membranes, the most common being hands, feet, face and neck. Despite the availability of various treatments, its persistent and recurring nature remains a matter of frustration among the medical fraternity. This case series includes eight cutaneous warts cases treated with an individualistic approach. Each case was prescribed a single medicine as per the cardinal principles of homoeopathy. The cases were assessed through Modified Naranjo Criteria for Homeopathy inventory to attribute the causal relationship of homoeopathic treatment provided for inferring the clinical outcome of cases. In every case, a single dose of the most appropriate homoeopathic remedy in centesimal potency was prescribed, followed by placebo. All cases were followed up for approximately 04-month duration after medication. No recurrence of warts or relapses of symptoms was noticed during the follow-ups. All cases showed marked improvement and the warts were completely resolved. Individualised homoeopathic medicines prescribed for cases were Lachesis mutus, Causticum, Natrum muriaticum, Antimonium crudum, Nitricum acidum, Thuja occidentalis, Sulphur and Dulcamara. Through this case series, we encourage more homoeopathic research on warts including exploratory observational trials and randomised controlled trials.
Environmentally sustainable fashion and conspicuous behavior
Authors: Lee Sae Eun , Lee Kyu-Hye 
Published: April 2024

AbstractThis study examines the impact of conspicuous consumption on environmentally sustainable fashion brands (ESFBs). Most previous studies have been limited to environmental perspectives; however, research on environmental behavior by conspicuousness has been lacking. This study views the brand as a tool for revealing oneself and examines the moderator brand–self-connection. It utilized a structural equation model with 237 valid questionnaires. Its findings are as follows: (1) Conspicuous consumption, fashion trend conspicuousness, and socially awakened conspicuousness positively affect the word-of-mouth (WOM) marketing of ESFBs. (2) Environmental belief is fully mediated by the environmental norm (EN) and does not directly affect WOM. (3) The more consumers are consistent with ESFBs, the stronger their WOM marketing. They are moderated only by the EN and socially awakened conspicuousness. (4) A higher fashion trend conspicuousness is associated with increased WOM marketing, indicating that such brands are frequently used as a method of self-expression. This study highlights consumers’ socially awakened conspicuousness and fashion trend conspicuousness in relation to ESFBs and discusses some implications.
The effects of heterogeneous CSR on corporate stock performance: evidence from COVID-19 pandemic in China
Authors: Li Yunhe , Shen Xinyi , Zhang Fang 
Published: April 2024

AbstractCorporate social responsibility (CSR) could be an effective risk-alleviating tool for companies. However, an important issue is whether CSR plays a risk-alleviating role in large negative shocks such as the COVID-19 pandemic. This study investigated the impact of corporate social responsibility on stock performance in China during the COVID-19 pandemic, focusing on the differing effects of strategic and responsive CSR. By analysing daily data on newly confirmed COVID-19 cases and the stock performance of A-share listed companies during the lockdown period in 2020, we find that CSR can significantly mitigate the negative effects of the pandemic on stock returns and recovery. Specifically, responsive CSR has a significant short-term moderating effect, whereas strategic CSR has a significant long-term moderating effect. The moderating effects of CSR are more pronounced among non-state-owned firms, firms with lower financial leverage, and large companies. These findings suggest that companies can reduce short- and long-term risks by strategically using responsive and strategic CSR in response to negative shocks in global economies.
Analysis of sterilization efficiency and application cost of three low temperature sterilization methods
Authors: Chen Hui , Liu Jiawei , Zeng Aiying , Qin Nian 
Published: April 2024

Objective: This paper discusses the sterilization efficiency of three low temperature sterilization methods used in thermosensitive medical devices and makes a preliminary analysis of sterilization costs so as to provide the basis for reasonable selection of low temperature sterilizer in Central Sterile Supply Department. Methods: Medical devices compatible with the three sterilization methods were selected for sterilization, and two packaging materials were selected for the three low-temperature sterilization equipment according to the compatibility of the packaging materials. The equipment packed with the same packaging materials were sterilized for five times, and each low-temperature sterilizer was sterilized for a total of ten times. The sterilization effect, sterilization cycle time, energy consumption, and cost of the three sterilizers were compared. Results: The cycle time of ethylene oxide sterilizer was 393.6 min, and the cycle time of hydrogen peroxide low temperature plasma sterilizer was 56.1 min. The cycle time of low temperature steam and formaldehyde sterilizer was 105.7 min. The hydrogen peroxide low temperature plasma sterilizes single cycle power consumption at a maximum of 5 kWh. The single cycle energy consumption of compressed air ethylene oxide sterilizer is up to 12 l. In terms of sterilization application cost, hydrogen peroxide low temperature plasma sterilization has the highest cost, followed by ethylene oxide sterilization, and low temperature steam and formaldehyde sterilization is the lowest. Conclusion: The sterilization efficiency of hydrogen peroxide low temperature plasma sterilization is the highest, followed by low temperature steam and formaldehyde sterilization, and the lowest is ethylene oxide sterilization. The three low temperature sterilization methods can achieve effective sterilization of devices. Each hospital can choose an appropriate low temperature sterilization method according to the characteristics of thermosensitive instruments, turnover efficiency requirements, and financial status.