bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adoniram Judson's Burmese Bible: Dependency and Development
Authors: de Jong John 
Published: March 2024

AbstractAdoniram Judson is widely perceived as the pioneer Bible translator in Burma. His translation of the entire Bible into Burmese, however, built upon three centuries of Roman Catholic missionary outreach. Catholic priests had arrived as chaplains for Portuguese immigrants to Burma in the early sixteenth century, but an indigenous Burmese Catholic church was established within a generation through intermarriage. Barnabite missionaries arrived in the early eighteenth century and engaged in a dynamic hundred years of missionary work. These Catholic missionaries developed key Christian terminology and discourse that Judson drew upon in his translation work. British Baptists were also in Burma for several years before Judson arrived and made their own contribution to Burmese Bible translation. An analysis of the Burmese translations of the Lord's Prayer by Barnabite missionary Giovanni Maria Percoto (1776), British Baptist James Chater (1812), and Judson (1817 and 1832) demonstrates how Judson both drew upon and developed the work of his predecessors in his immense project of translating the entire Bible into Burmese (1840). The Judson Bible, still the most widely used and highly esteemed version in modern-day Myanmar, is an intertextual production. Literary and oral texts, all shaped by their historical settings, intersected multiple other texts over a period of three hundred years before flowing into Judson's translation.
Handmaids of the Apocalypse: Queen Gerberga, Empress Adelaide, and the Ottonian Tenth Century
Authors: Poletti Bailey R. 
Published: March 2024

AbstractGerberga of Saxony, the sister of Otto I of Germany and wife of Louis IV of France, receives frequent scholarly mention in relation to a treatise by Adso of Montier-en-Der circa 950–954. The topic of this short work, presented as a letter to Gerberga in answer to a question she posed to the monk, was the life of the Antichrist, that fearful servant of Satan who would appear before Christ's Second Coming, lead whole nations into damnable error, and kill many who would not apostatize before being defeated by Jesus himself at his return. The treatise eventually become the foundation of centuries of Christian apocalyptic thought. But despite her prominence in the letter, Gerberga has received no sustained examination by historians regarding her interest and promotion of apocalyptic thought beyond being a recipient of Adso's letter. At most, scholars tend to see Gerberga as if through the eyes of Adso, that is, as a nervous queen anxious to be reassured that a universal evil is not hiding just around the corner. Such views—wholly unintentional but nevertheless present—do her a great disservice and misunderstand the motivations of both Gerberga and Adso present in the letter, as well as Gerberga's younger, apocalyptically minded in-law, the empress Adelaide. This essay examines Gerberga's life not simply as it relates to Adso's work but in relation to the very personal, family-driven politics of both East and West Francia in the tenth century. When placed in her proper context, we find Gerberga was not merely a passive recipient of apocalyptic ideas for a brief period in the early 950s but was an active patron whose interest shaped imperial politics for generations.
Comprehensive elucidation of resting-state functional connectivity in anorexia nervosa by a multicenter cross-sectional study
Authors: Sudo Yusuke , Ota Junko , Takamura Tsunehiko , Kamashita Rio , Hamatani Sayo , Numata Noriko , Chhatkuli Ritu Bhusal , Yoshida Tokiko , Takahashi Jumpei , Kitagawa Hitomi , Matsumoto Koji , Masuda Yoshitada , Nakazato Michiko , Sato Yasuhiro , Hamamoto Yumi , Shoji Tomotaka , Muratsubaki Tomohiko , Sugiura Motoaki , Fukudo Shin , Kawabata Michiko , Sunada Momo , Noda Tomomi , Tose Keima , Isobe Masanori , Kodama Naoki , Kakeda Shingo , Takahashi Masatoshi , Takakura Shu , Gondo Motoharu , Yoshihara Kazufumi , Moriguchi Yoshiya , Shimizu Eiji , Sekiguchi Atsushi , Hirano Yoshiyuki 
Published: March 2024

AbstractBackgroundPrevious research on the changes in resting-state functional connectivity (rsFC) in anorexia nervosa (AN) has been limited by an insufficient sample size, which reduced the reliability of the results and made it difficult to set the whole brain as regions of interest (ROIs).MethodsWe analyzed functional magnetic resonance imaging data from 114 female AN patients and 135 healthy controls (HC) and obtained self-reported psychological scales, including eating disorder examination questionnaire 6.0. One hundred sixty-four cortical, subcortical, cerebellar, and network parcellation regions were considered as ROIs. We calculated the ROI-to-ROI rsFCs and performed group comparisons.ResultsCompared to HC, AN patients showed 12 stronger rsFCs mainly in regions containing dorsolateral prefrontal cortex (DLPFC), and 33 weaker rsFCs primarily in regions containing cerebellum, within temporal lobe, between posterior fusiform cortex and lateral part of visual network, and between anterior cingulate cortex (ACC) and thalamus (p < 0.01, false discovery rate [FDR] correction). Comparisons between AN subtypes showed that there were stronger rsFCs between right lingual gyrus and right supracalcarine cortex and between left temporal occipital fusiform cortex and medial part of visual network in the restricting type compared to the binge/purging type (p < 0.01, FDR correction).ConclusionStronger rsFCs in regions containing mainly DLPFC, and weaker rsFCs in regions containing primarily cerebellum, within temporal lobe, between posterior fusiform cortex and lateral part of visual network, and between ACC and thalamus, may represent categorical diagnostic markers discriminating AN patients from HC.
OPTIMAL QUEUING STRATEGIES FOR AN M/G/1 RETRIAL QUEUE SYSTEM WITH RWV AND ISEV POLICIES
Authors: CHEN Z. , XU H. , HUO H. 
Published: March 2024

AbstractDesigning a reasonable M/G/1 retrial queue system that enhances service efficiency and reduces energy consumption is a challenging issue in Information and Communication Technology systems. This paper presents an M/G/1 retrial queue system incorporating random working vacation (RWV) and improved service efficiency during vacation (ISEV) policies, and examines its optimal queuing strategies. The RWV policy suggests that the server takes random working vacations during reserved idle periods, effectively reducing energy consumption. In contrast, the ISEV policy strives to augment service efficiency during regular working periods by updating, inspecting or maintaining the server on vacations. The system is transformed into a Cauchy problem to investigate its well-posedness and stability, employing operator semigroup theory. Based on the system’s stability, steady-state performance measures, such as service efficiency, energy consumption and expected costs, are quantified using the steady-state solution. The paper subsequently demonstrates the existence of optimal queuing strategies that achieve maximum efficiency and minimum expected costs. Finally, two numerical experiments are provided to illustrate the effectiveness of the system.
Oncogenic enhancers prime quiescent metastatic cells to escape NK immune surveillance by eliciting transcriptional memory
Authors: Michelatti Daniela , Beyes Sven , Bernardis Chiara , Negri Maria Luce , Morelli Leonardo , Bediaga Naiara Garcia , Poli Vittoria , Fagnocchi Luca , Lago Sara , D’Annunzio Sarah , Cona Nicole , Gaspardo Ilaria , Bianchi Aurora , Jovetic Jovana , Gianesello Matteo , Turdo Alice , D’Accardo Caterina , Gaggianesi Miriam , Dori Martina , Forcato Mattia , Crispatzu Giuliano , Rada-Iglesias Alvaro , Sosa Maria Soledad , Timmers H. T. Marc , Bicciato Silvio , Todaro Matilde , Tiberi Luca , Zippo Alessio 
Published: March 2024

AbstractMetastasis arises from disseminated tumour cells (DTCs) that are characterized by intrinsic phenotypic plasticity and the capability of seeding to secondary organs. DTCs can remain latent for years before giving rise to symptomatic overt metastasis. In this context, DTCs fluctuate between a quiescent and proliferative state in response to systemic and microenvironmental signals including immune-mediated surveillance. Despite its relevance, how intrinsic mechanisms sustain DTCs plasticity has not been addressed. By interrogating the epigenetic state of metastatic cells, we find that tumour progression is coupled with the activation of oncogenic enhancers that are organized in variable interconnected chromatin domains. This spatial chromatin context leads to the activation of a robust transcriptional response upon repeated exposure to retinoic acid (RA). We show that this adaptive mechanism sustains the quiescence of DTCs through the activation of the master regulator SOX9. Finally, we determine that RA-stimulated transcriptional memory increases the fitness of metastatic cells by supporting the escape of quiescent DTCs from NK-mediated immune surveillance. Overall, these findings highlight the contribution of oncogenic enhancers in establishing transcriptional memories as an adaptive mechanism to reinforce cancer dormancy and immune escape, thus amenable for therapeutic intervention.
Blunted brain responses to neutral faces in healthy first-degree relatives of patients with schizophrenia: an image-based fMRI meta-analysis
Authors: Fiorito Anna M. , Blasi Giuseppe , Brunelin Jérôme , Chowdury Asadur , Diwadkar Vaibhav A. , Goghari Vina M. , Gur Ruben C. , Kwon Jun Soo , Quarto Tiziana , Rolland Benjamin , Spilka Michael J. , Wolf Daniel H. , Yun Je-Yeon , Fakra Eric , Sescousse Guillaume 
Published: March 2024

AbstractSchizophrenia is characterized by the misattribution of emotional significance to neutral faces, accompanied by overactivations of the limbic system. To understand the disorder’s genetic and environmental contributors, investigating healthy first-degree relatives is crucial. However, inconsistent findings exist regarding their ability to recognize neutral faces, with limited research exploring the cerebral correlates of neutral face processing in this population. Thus, we here investigated brain responses to neutral face processing in healthy first-degree relatives through an image-based meta-analysis of functional magnetic resonance imaging studies. We included unthresholded group-level T-maps from 5 studies comprising a total of 120 first-degree relatives and 150 healthy controls. In sensitivity analyses, we ran a combined image- and coordinate-based meta-analysis including 7 studies (157 first-degree relatives, 207 healthy controls) aiming at testing the robustness of the results in a larger sample of studies. Our findings revealed a pattern of decreased brain responses to neutral faces in relatives compared with healthy controls, particularly in limbic areas such as the bilateral amygdala, hippocampus, and insula. The same pattern was observed in sensitivity analyses. These results contrast with the overactivations observed in patients, potentially suggesting that this trait could serve as a protective factor in healthy relatives. However, further research is necessary to test this hypothesis.
Multifunctional integrated pattern for enhancing fog harvesting water unidirectional transport in a heterogeneous pattern
Authors: Yang Daejeong , Ramu A. G. , Choi Dongjin 
Published: March 2024

AbstractSolid surfaces with improved wettability as well as geometric structures can enhance capture and droplet removal, thereby improving fog harvesting. We fabricated Al wires by combining superhydrophilic (SHL), superhydrophobic (SHB), and oil-infused SHB (SHBO) surfaces into a pattern whose fog-harvesting efficiency could be measured. The SHL-SHBO-SHL pattern showed the highest promise of water droplet capture and mobility on a solid surface with 42% efficiency compared to the 34% efficiency of Bare. In order to identify the optimal efficiency features, two boundary conditions (boundary I: from SHL to SHBO and boundary II: from SHBO to SHL) were introduced, and the impact of the hydrophilic area was examined. Boundary I boosts capture efficiency whereas boundary II increases drain efficiency. Understanding the forces operating at the wettability gradient surface, as well as incorporating the area ratio of SHL and SHBO via wettability combinations, are key to designing effective fog harvesting systems.
Uncovering the hidden structure of small-world networks
Authors: Lachgar Ahmed , Achahbar Abdelfattah 
Published: March 2024

AbstractThe small-world (SW) network model introduced by Watts and Strogatz has significantly influenced the study of complex systems, spurring the development of network science as an interdisciplinary field. The Newman-Watts model is widely applied to analyze SW networks by adding several randomly placed shortcuts to a regular lattice. We meticulously examine related previous works and conclude that the scaling of various pertinent quantities lacks convincing evidence. We demonstrate that the SW property primarily stems from the existence of clusters of nodes linked by shortcuts rather than just the mean number of shortcuts. Introducing the mean degree of clusters linked by shortcuts as a new key parameter resolves the scaling ambiguity, yielding a more precise characterization of the network. Our findings provide a new framework for analyzing SW networks, highlighting the significance of considering emergent structures in complex systems. We also develop a phase diagram of the crossover transition from the small to the large world, offering profound insights into the nature of complex networks and highlighting the power of emergence in shaping their behavior.
Catalytic green synthesis of Tin(IV) oxide nanoparticles for phenolic compounds removal and molecular docking with EGFR tyrosine kinase
Authors: Alshahateet S. F. , Altarawneh R. M. , Al-Tawarh W. M. , Al-Trawneh S. A. , Al-Taweel S. , Azzaoui K. , Merzouki M. , Sabbahi R. , Hammouti B. , Hanbali G. , Jodeh S. 
Published: March 2024

AbstractIn this study, tin dioxide nanoparticles (SnO2 NPs) were successfully synthesized through an eco-friendly method using basil leaves extract. The fabricated SnO2 NPs demonstrated significant adsorption capabilities for phenol (PHE), p-nitrophenol (P-NP), and p-methoxyphenol (P-MP) from water matrices. Optimal conditions for maximum removal efficiency was determined for each phenolic compound, with PHE showing a remarkable 95% removal at a 3 ppm, 0.20 g of SnO2 NPs, pH 8, and 30 min of agitation at 35 °C. Molecular docking studies unveiled a potential anticancer mechanism, indicating the ability of SnO2 NPs to interact with the epidermal growth factor receptor tyrosine kinase domain and inhibit its activity. The adsorption processes followed pseudo-second order kinetics and Temkin isotherm model, revealing spontaneous, exothermic, and chemisorption-controlled mechanisms. This eco-friendly approach utilizing plant extracts was considered as a valuable tool for nano-sorbent production. The SnO2 NPs not only exhibit promise in water treatment and also demonstrate potential applications in cancer therapy. Characterization techniques including scanning electron microscopy, UV–visible spectroscopy, Fourier transform infrared spectroscopy, X-ray diffraction spectroscopy (XRD), and energy-dispersive X-ray spectroscopy (EDAX) provided comprehensive insights into the results.
An evolutionary model of personality traits related to cooperative behavior using a large language model
Authors: Suzuki Reiji , Arita Takaya 
Published: March 2024

AbstractThis study aims to demonstrate that Large Language Models (LLMs) can empower research on the evolution of human behavior, based on evolutionary game theory, by using an evolutionary model positing that instructing LLMs with high-level psychological and cognitive character descriptions enables the simulation of human behavior choices in game-theoretical scenarios. As a first step towards this objective, this paper proposes an evolutionary model of personality traits related to cooperative behavior using a large language model. In the model, linguistic descriptions of personality traits related to cooperative behavior are used as genes. The deterministic strategies extracted from LLM that make behavioral decisions based on these personality traits are used as behavioral traits. The population is evolved according to selection based on average payoff and mutation of genes by asking LLM to slightly modify the parent gene toward cooperative or selfish. Through experiments and analyses, we clarify that such a model can indeed exhibit evolution of cooperative behavior based on the diverse and higher-order representation of personality traits. We also observed repeated intrusion of cooperative and selfish personality traits through changes in the expression of personality traits. The words that emerged in the evolved genes reflected the behavioral tendencies of their associated personalities in terms of semantics, thereby influencing individual behavior and, consequently, the evolutionary dynamics.
Identification of expression profiles and prognostic value of RFCs in colorectal cancer
Authors: Misbah Md , Kumar Manoj , Najmi Abul Kalam , Akhtar Mymoona 
Published: March 2024

AbstractColorectal cancer (CRC) ranks among the most prevalent cancers globally, with its incidence closely tied to DNA damage. The Replication Factor C (RFC) complexes comprises five protein subunits: RFC1, RFC2, RFC3, RFC4, and RFC5. These RFC complexes play crucial roles in DNA replication, repair pathways, activities post DNA damage, and ATP-dependent processes during DNA synthesis. However, the impact of RFC complexes proteins on CRC prognosis remains unclear. To explore this, we employed a computational analysis approach, utilizing platforms such as the DepMap portal, GEPIA, DAVID Bioinformatics for KEGG pathway analysis, Human Protein Atlas (HPA), STRING, and TIMER. Our results indicate that the mRNA levels of RFC1 and RFC5 were the least expressed among CRC cell lines compared to other RFC complex subunits. Notably, low RFC1 and RFC5 expression was correlated with poor prognosis in terms of CRC patients' overall survival (OS). Immunohistochemical results from the Human Protein Atlas demonstrated medium staining for RFC1, RFC2, and RFC5 in CRC tissues. Furthermore, the low expression of RFC1 and RFC5 showed a significant correlation with high expression levels of miR-26a-5p and miR-636, impacting cell proliferation through mismatch repair, DNA replication, and the nucleotide excision repair pathway. Although the precise functions of RFC1 in cancer are still unknown, our findings suggest that the small-molecule single target, CHEMBL430483, and multiple target molecules could be potential treatments for CRC. In conclusion, the elevated expression of miR-26a-5p and miR-636 targeting RFC1 and RFC5 expression holds promise as a potential biomarker for early-stage CRC detection. These insights provide novel directions and strategies for CRC therapies.
Dynamic clustering via branched deep learning enhances personalization of stress prediction from mobile sensor data
Authors: Luo Yunfei , Deznabi Iman , Shaw Abhinav , Simsiri Natcha , Rahman Tauhidur , Fiterau Madalina 
Published: March 2024

AbstractCollege students experience ever-increasing levels of stress, leading to a wide range of health problems. In this context, monitoring and predicting students’ stress levels is crucial and, fortunately, made possible by the growing support for data collection via mobile devices. However, predicting stress levels from mobile phone data remains a challenging task, and off-the-shelf deep learning models are inapplicable or inefficient due to data irregularity, inter-subject variability, and the “cold start problem”. To overcome these challenges, we developed a platform named Branched CALM-Net that aims to predict students’ stress levels through dynamic clustering in a personalized manner. This is thefirst platform that leverages the branching technique in a multitask setting to achieve personalization and continuous adaptation. Our method achieves state-of-the-art performance in predicting student stress from mobile sensor data collected as part of the Dartmouth StudentLife study, with a ROC AUC 37% higher and a PR AUC surpassing that of the nearest baseline models. In the cold-start online learning setting, Branched CALM-Net outperforms other models, attaining an average F1 score of 87% with just 1 week of training data for a new student, which shows it is reliable and effective at predicting stress levels from mobile data.
Larger wind turbines as a solution to reduce environmental impacts
Authors: Akhtar Naveed , Geyer Beate , Schrum Corinna 
Published: March 2024

AbstractThe EU aims for carbon neutrality by 2050, focusing on offshore wind energy. Investments in North Sea wind farms, with optimal wind resources, play a crucial role. We employed a high-resolution regional climate model, which incorporates a wind farm parametrization, to investigate and address potential mitigating impacts of large wind farms on power generation and air-sea fluxes. Specifically, we examined the effects of replacing 5 MW turbines with larger 15 MW turbines while maintaining total capacity. Our study found that substituting 15 MW turbines increases the capacity factor by 2–3%, enhancing efficiency. However, these turbines exhibit a slightly smaller impact on 10 m wind speed (1.2–1.5%) and near-surface kinetic energy (0.1–0.2%), leading to reduced effects on sea surface heat fluxes compared to 5 MW turbines. This was confirmed by a stronger reduction in net heat flux of about 0.6–1.3% in simulations with 5 MW compared to 15 MW wind turbines. Air-sea fluxes influence ocean dynamics and marine ecosystems; therefore, minimizing these impacts is crucial. Overall, deploying 15 MW turbines in offshore wind farms may offer advantages for ocean dynamics and marine ecosystems, supporting the EU's carbon–neutral objectives.
Whole genome discovery of regulatory genes responsible for the response of chicken to heat stress
Authors: Hosseinzadeh Sevda , Hasanpur Karim 
Published: March 2024

AbstractLong noncoding RNAs (lncRNAs) are functional bridges connecting the genome with phenotypes by interacting with DNA, mRNA, and proteins. Using publically available acute heat stress (AHS)-related RNA-seq data, we discovered novel lncRNAs and tested their association with AHS along with ~ 8800 known lncRNAs and ~ 28,000 mRNA transcripts. Our pipeline discovered a total of 145 potentially novel-lncRNAs. One of them (Fishcomb_p-value = 0.06) along with another novel transcript (annotated as protein-coding; Fishcomb_p-value = 0.03) were identified as significantly associated with AHS. We found five known-lncRNAs and 134 mRNAs transcripts that were significantly associated with AHS. Four novel lncRNAs interact cis-regulated with 12 mRNA transcripts and are targeted by 11 miRNAs. Also six meta-lncRNAs associate with 134 meta-mRNAs through trans-acting co-expression, each targeted by 15 and 216 miRNAs, respectively. Three of the known-lncRNAs significantly co-expressed with almost 97 of the significant mRNAs (Pearson correlation p-value < 0.05). We report the mentioned three known-lncRNAs (ENSGALT00000099876, ENSGALT00000107573, and ENSGALT00000106323) as the most, significantly regulatory elements of AHS in chicken. It can be concluded that in order to alleviate the adverse effects of AHS on chicken, the manipulation of the three regulatory lncRNAs could lead to a more desirable result than the manipulation of the most significant mRNAs.