bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inadequacy of nutrients in children’s diets across seasons along an agricultural intensification gradient in Ethiopia
Authors: Moges Tibebu , Baudron Frédéric , Luo Hanqi , Brouwer Inge D. , Remans Roseline , Groot Jeroen C. J. 
Published: July 2024

AbstractAlthough the production-to-consumption pathway is widely promoted to improve diet quality in developing world, its contribution to individual diet and nutrient intake remains unclear. We assessed this relationship among 377 children aged 6 to 59 months in three zones characterized by landscape diversity along an agricultural intensification gradient from the state forest of Munesa to the nearby town of Arsi Negele, Ethiopia during the two harvest seasons. A repeated interactive multiple-pass 24-h recall method was used to collect intake data. Usual intake distributions for energy, protein, iron, zinc and vitamin A were estimated using the National Cancer Institute (NCI) method and compared with estimated average requirement values to determine the prevalence of inadequate intake. The usual intake of protein, zinc and vitamin A among children were inadequate and further exacerbated by seasonality. The extent of nutrient inadequacy was higher in the diverse landscape (“near to forest” zone) than in the less diverse landscape (“distant to forest” zone). However, the diverse landscape tended to provide a better buffering capacity against seasonal energy and nutrient stress than a less diverse landscape. The age of a child positively predicted usual intakes of energy, protein, iron, zinc and vitamin A along the gradient, while breastfeeding negatively predicted these intakes. Most of the food groups and nutrients consumed were derived from on-farm production, whereas fruits and vegetables were via the market. Thus, introduction of nutrient-dense crops and increasing livestock productivity are vital to enhance consumption of diverse diets and thereby nutrients among children.
Schlieren measurements of shock train flow fields in a supersonic cylindrical isolator at Mach 2
Authors: Ou Yang , Xiong Bing , Dai Yifan , Fan Xiaoqiang , Chen Shanyong , Xu Shangcheng , Yan Yuepeng , Hu Hao , Xiong Yupeng , Du Chunyang , Guan Chaoliang 
Published: July 2024

AbstractIn a supersonic cylindrical isolator at Mach 2, the structures and frequency characteristics of shock train flow fields were experimentally studied by the schlieren measurement method. According to the design principle of parallel light through schlieren windows in a cylindrical duct, a high-precision conformal optical window pair was designed and integratively processed before. Based on a self-built pipeline structure with conformal windows in a direct-connect wind tunnel under adjustable back-pressure conditions, the shock surfaces in a cylindrical isolator at Mach 2 were first captured by the schlieren method. Then, the schlieren photographs were corrected by a nonlinear image transformation algorithm for the restoration of real shock train structures, and the experimental results were compared with numerical simulation results quantitatively. Finally, the shock train positions were calculated by an image recognition algorithm to analyze the self-excited oscillation frequency characteristics of shock train structures. The methods and experiments in this study enriched optical observation methods of supersonic flows through non-rectangular cross-section isolators in scramjet.
Graphical abstract
Bibliometric and visual analysis in the field of two-dimensions nano black phosphorus in cancer from 2015 to 2023
Authors: Huang Jing’an , Zhang Ling , Li Boren , Lian Yuanchu , Lin Xiaoxin , Li Zonghuai , Zhang Bo , Feng Zhongwen 
Published: July 2024

AbstractThis study aims to provide a comprehensive summary of the status and trends of Two-Dimensional Nano Black Phosphorus (2D nano BP) in cancer research from 2015 to 2023, offering insights for future studies. To achieve this, articles from the Web of Science database published between 2015 and 2023 were analyzed using R and VOSviewer software. The analysis included 446 articles, revealing a consistent increase in publication rates, especially between 2017 and 2019. China emerged as a leader in both publication volume and international collaborations. Prominent journals in this field included ACS Applied Materials & Interfaces and Advanced Materials, while key researchers were identified as Zhang Han, Tao Wei, and Yu Xuefeng. The analysis highlighted common keywords such as drug delivery, photothermal therapy, photodynamic therapy, and immunotherapy, indicating the major research focuses. The findings suggest that 2D nano BP holds significant promise in cancer treatment research, with a growing global interest. This study thus serves as a valuable reference for future investigations, providing a detailed analysis of the current state and emerging trends in this promising field.
Prognostic value of oxidative phosphorylation-related genes in hepatocellular carcinoma
Authors: Liu Luzheng , Chen Jiacheng , Ye Fei , Chu Fengran , Rao Chaoluan , Wang Yong , Yan Yanggang , Wu Jincai 
Published: July 2024

Abstract
Purpose
Hepatocellular carcinoma (HCC) is the most prevalent malignancies worldwide. Recently, oxidative phosphorylation (OXPHOS) has received extensive concern as an emerging target in antitumor therapy. However, the OXPHOS-involved underlying genes and clinical utilization in HCC remain worth exploring. The present research aimed to create an OXPHOS-relevant signature in HCC.

Patients and methods
In this study, the prognostic signature genes linked with OXPHOS were identified, and prognostic models were built using least absolute shrinkage and selection operator (LASSO) cox regression analysis. Furthermore, the combination study of immune microenvironment and signature genes looked into the involvement of immune cells in signature-based genes in HCC. Following that, chemotherapeutic drug sensitivity and immunotherapy analysis was implemented to predict clinical efficacy in HCC patients. Finally, clinical samples were collected to measure the expression of OXPHOS-related signature genes.

Results
Following a series of screens, six prognostic signature genes related with OXPHOS were identified: MRPS23, MPV17, MAPK3, IGF2BP2, CDK5, and IDH2, on which a risk model was built. The findings revealed a significant drop in the survival rate of HCC patients as their risk score increased. Meanwhile, independent prognostic study demonstrated that the risk score could accurately identify HCC patients. Immuno-microenvironmental correlation research suggested that the prognostic characteristics could serve as a reference index for both immunotherapy and chemotherapy. Finally, RT-qPCR exhibited a trend in signature gene expression that was consistent with the results.

Conclusion
In this study, a total of six prognostic genes associated with OXPHOS were selected and a prognostic model was constructed, providing an essential reference for the study of OXPHOS in HCC.
Preparation, optimization, and characterization of genistein-ginseng long-acting polymeric gel as a breast cancer treatment alternative
Authors: Abdullah Samaa , Md Shadab , Altamimi Abeer A. , Alahdal Hadil , Ali Raisuddin , Alkreathy Huda Mohammed , Karim Shahid 
Published: July 2024

AbstractTo address the prevalent genistein (GST) metabolism and inadequate intestinal absorption, an oral long-acting and gastric in-situ gelling gel was designed to encapsulate and localize the intestinal release of the loaded genistein-ginseng (GST-GNS) solid dispersion. Because of the high breast perfusion of GST upon oral absorption, the GST-GNS solid dispersion was developed to enhance GST's dissolution and penetration while offering a synergistic impact against breast cancer (BC). Physiochemical analysis of the GST-GNS solid dispersion, release analysis, gel characterizations, storage stability, penetration, and in vitro cytotoxicity studies were carried out. GST-GNS solid dispersion showed improved dissolution and penetration as compared to raw GST. GST-GNS solid dispersion homogenous shape particles and hydrophilic contacts were revealed by scanning electron microscopy and Fourier Transform-Infrared analysis, respectively. GST-GNS solid dispersion’s diffractogram shows the amorphous character. A second modification involved creating a gastric in-situ gelling system loaded with GST-GNS solid dispersion. This system demonstrated improved GST penetration employing the solid dispersion, as well as the localizing of the GST release at the intestinal media and antitumor synergism against BC. For a better therapeutic approach for BC, the innovative oral GST long-acting gel encasing the GST-GNS solid dispersion would be recommended.
Graphical Abstract
Aquacritical Vistula: the deep mapping of literary sources within the emerging historiography of flooding (1934)
Authors: Barcz Anna , Gromala Monika , Wacławik Paulina 
Published: July 2024

AbstractThis article focuses on an aquacritical reading of literary sources within the emerging historiography of flooding. In 1934 the largest flood in the history of the Second Polish Republic (1918–1939) happened. After summer torrential rains the tributaries of the main river in Poland, the Vistula River, disrupted the functioning of the centrally-managed and newly recovered state. By using a deep mapping tool for river-related discourse analysis and for historical river management approach, the authors discuss different accounts of the 1934-flood: firstly, works from the historical period (J. Kurek, K. I. Gałczyński, relevant newspapers) and secondly, a contemporary reference to 1934 and flood narrative in prose (M. Płaza). All these literary sources contain numerous renamings of the Polish flood management dictionary but have one historical feature in common: they anchor the modern militarization of language in flood narratives (the fight against the river) and the symptomatic discourse of power and control (ruling over the river). Finally, these sources led the authors to the conclusion that both the Polish experience of World War I and later subsequent armed conflicts, as well as the impact of militarized state policy left their stamp on the flood lexicon and deepened the divide between humans and disempowered rivers.
Brown trout in Oder estuary tributaries: genetic structure, stocking, and admixture
Authors: Bernaś Rafał , Wąs-Barcz Anna , Święcki Waldemar , Dębowski Piotr , Radtke Grzegorz , Tański Adam , Korzelecka-Orkisz Agata , Formicki Krzysztof 
Published: July 2024

Abstract
Several rivers that are tributaries of the Oder estuary are inhabited by Salmo trutta L, the most important of which are Ina, Gowienica, and Wołczenica. Both forms of the species, sea trout and resident brown trout, are present. All rivers are traditionally stocked with either sea trout from the neighboring Pomeranian river Rega basin or resident brown trout from various locations. To examine populations in these rivers in terms of genetic structure, genetic diversity, and origin, they were analyzed using 13 microsatellite loci. Relatedness was also assessed for fish stocked in the same year. The obtained genotypes were compared with breeding stocks used for stocking in Poland. The analyses revealed a significant genetic distance between adult individuals from Ina and Rega Rivers and fish caught during electrofishing. Strong kinship relationships were identified in the sampled areas, with high proportions of fish originating from stocking and their dominance in numbers over wild juveniles, primarily in smaller tributaries. Additionally, clear separation in the origin of stocked individuals was observed. Adult trout from Ina and Rega are genetically closer to northern brown trout lineages, providing crucial information for the management and biodiversity conservation of Polish Salmo trutta populations.
Reinforced robotic bean optimization algorithm for cooperative target search of unmanned aerial vehicle swarm
Authors: Li Jun , Cheng Hongwei , Wang Changjian , Zhang Panpan , Zhang Xiaoming 
Published: July 2024

AbstractIncreasing attention has been given to the utilization of swarm intelligent optimization algorithms to facilitate cooperative target search of unmanned aerial vehicle swarm (UAVs). However, there exist common issues associated with swarm intelligent optimization algorithms, which are low search efficiency and easy to trap in local optima. Simultaneously, the concentrated initial positioning of UAVs increase the probability of collisions between UAVs. To address these issues, this paper proposes a reinforced robotic bean optimization algorithm (RRBOA) aimed at enhancing the efficiency of UAVs for cooperative target search in unknown environments. Firstly, the algorithm employs a region segmentation exploration strategy to enhance the initialization of UAVs, ensuring a uniform distribution of UAVs to avoid collisions and the coverage capability of UAVs search. Subsequently, a neutral evolution strategy is incorporated based on the spatial distribution pattern of population, which aims to enhance cooperative search by enabling UAVs to freely explore the search space, thus improving the global exploration capability of UAVs. Finally, an adaptive Levy flight strategy is introduced to expand the search range of UAVs, enhancing the diversity of UAVs search and then preventing the UAVs search from converging to local optima. Experimental results demonstrate that RRBOA has significant advantages over other methods on nine benchmark simulations. Furthermore, the extension testing, which focuses on simulating pollution source search, confirms the effectiveness and applicability of RRBOA
‘Citizen Scientists’ on Citizen Science
Authors: Tolbert Sara , Olson Cheyanne , Haq Rehan Ul , Evans Lisa , dos Santos Ana Paula Oliveira , Franco Alice Alves , Jager Iamni , Kovač Mario , Orchard Shane , Harris Stuart , Šrajer Filip , Santos-Lang Chris , Jandrić Petar , Hayes Sarah , Jopling Michael 
Published: July 2024

AbstractCitizen science, also known as participatory or community science, involves the participation of non-professionally trained individuals in scientific research. This article, part of a series of articles aiming to map and theorise the postdigital dimensions of citizen science, presents diverse narratives from individuals actively engaged in citizen science endeavors. The authors were invited to share their experiences, motivations, challenges, and opportunities in their own words. Their perspectives are organized into three categories: (1) citizen science as a mediator between professional and amateur science, (2) citizen science for diverse publics and community action, and (3) citizen science from the margins. These narratives illuminate citizen science as not just a theoretical construct, but a dynamic methodological prism, revealing the complex entanglement of the postdigital realm and citizen science through innovative sociotechnical methods and approaches. Each contribution highlights the rich possibilities and challenges arising from the intertwining of community researchers and technology in the pursuit of knowledge, meaning, and action. This tapestry of experiences invites further exploration of the evolving landscape of postdigital citizen science.
Statistical and sensitivity analysis of ultrasound signals for effective condition monitoring of electro-motors using industrial approach
Authors: Mobki Hamed , Nia Ehsan Shabahang , Azizi Aydin 
Published: July 2024

AbstractThis paper researches the importance of ultrasound methodology for swiftly detecting faults in electric motors and rotating machines. The primary focus of this research is on the intricate signal processing of ultrasound signals from both faulty and fault-free electro-motors. The principal goal is to conduct a comprehensive statistical investigation into signal factors, examining the effects of defect progression on the factors associated with continuously operating faulty electro-motors. In addition to the statistical analysis, this study explores the envelope-frequency spectrum of the signal under both healthy and defective conditions, employing the envelope method alongside Hilbert transformation. The objective is to thoroughly scrutinize the dynamic changes in ultrasound waveform and envelope spectrum of defective states, considering diverse degrees of defect severity over an extended time span. Moreover, the paper meticulously tracks the trajectory of factor changes over a 40-day operational period of a defective electro-motor. Additionally, the study delves into the sensitivity of the ultrasound method to impulse-wise shocks, which are recurrently observed in ultrasound signals, leading to deviations in certain signal factors from their established healthy thresholds. In response to this challenge, this paper conducts a particular analysis of signal factor sensitivity to impulse-wise noises, identifying robust factors that serve as reliable tools for firm condition monitoring. These identified factors are then presented as invaluable contributors to ensuring the precision and reliability of condition monitoring, especially in the presence of disruptive impulse-wise noises.
Intelligent Conceptual Design of Railway Bridge Based on Graph Neural Networks
Authors: Bai Huajun , Yu Hong , Yao Hongxi , Chen Ling , Gui Hao 
Published: July 2024

AbstractIn the conceptual design stage of railway bridge, the beam type of the bridge at the main control point must be modified repeatedly to satisfy varying requirements. Thus, the demand for design efficiency is high. However, railway bridge design relies heavily on professional knowledge and experience and is typically completed manually by senior designers, thereby requiring considerable time. An intelligent beam type recommendation algorithm named AutoDis Graph Ontology Attention Matching (AGOAM) is proposed to rapidly generate bridge design plans for railway route main control points. This method acquires the node embeddings of the main control point and beam type attribute graphs through graph neural networks (GNNs) and predicts the score of each beam type through graph matching technology. The beam type with the highest prediction score is recommended. In addition, the accuracy of the recommendation results is improved through ontology-enhanced attribute interaction and attention mechanism-based graph pooling. The efficiency of the proposed method is demonstrated with a real-world railway bridge design dataset, and ablation study is conducted to evaluate the effectiveness of the ontology-enhanced attribute interaction and attention mechanism-based graph pooling.
An Improved Equilibrium Optimizer for Solving Multi-quay Berth Allocation Problem
Authors: Luo Qifang , Song Panpan , Zhou Yongquan 
Published: July 2024

AbstractThe multi-quay berth allocation problem (MQBAP) is an important problem in the planning of seaside operations (POSO) to find the best berthing solution for all the vessels. In this paper, an efficient method based on equilibrium optimizer (EO) is proposed for MQBAP. The dynamic multi-swarm strategy (DMS) is proposed to improve rapid decline problem in population diversity during the iterative process of EO, which is subsequently applied to MQBAP. In this paper, a certain improvement is also made on the original model of MQBAP by proposing an alternate quay selection mechanism, which aims to make the MQBAP model more complete. To verify the effectiveness of the proposed algorithm on MQBAP, this paper uses six test cases and seven comparative algorithms to verify it comprehensively from total service cost, berthing time, and berthing location. The results show that DEO achieved the smallest total service costs of 7584 and 19,889 on medium-scale, and 44,998, 38,899, and 57,626 on large-scale systems.
Spatiotemporal variability of rainfall and drought characterization in Kaduna, Nigeria
Authors: Abubakar M. L. , Abdussalam A. F. , Ahmed M. S. , Wada A. I. 
Published: July 2024

AbstractRainfall variability and drought events can affect food security globally. This study aimed to assess the spatial and temporal trends and variability of rainfall in Kaduna State, Nigeria. Gridded rainfall data were obtained from the Climate Research Unit (CRU_TS 4.07) (1952–2022) for Birnin Gwari, Kaduna, Kafanchan and Zaria towns. The rainfall data were subjected to the Anderson‒Darling normality test and found to be normally distributed. The data were analysed using the coefficient of variation (CV), rainfall anomaly index (RAI) and precipitation concentration index (PCI). The trend was assessed using the Mann‒Kendall trend test, and finally, meteorological drought was computed using the standardized precipitation index (SPI). The results revealed that all four locations had low to moderate variability, with CVs < 15%. The rainfall anomaly index revealed that 1983 was the driest year for Birnin Gwari, Kaduna and Kafanchan, with RAI values of − 4.863, − 4.474 and − 4.316, respectively, while in Zaria, the driest year was 1974, with a RAI value of − 4.065. The PCI showed that there was a high concentration of rainfall in Birnin Gwari, Kaduna, and Kafanchan. However, Zaria experienced 41 years of high concentrations and 30 years of very high concentrations of precipitation. The Mann‒Kendall trend test revealed that all four locations experienced a significant downward trend in rainfall within the study period. The Z statistics for Birnin Gwari, Kaduna, Kafanchan and Zaria were − 1.112, − 0.357, − 0.556 and − 0.764, respectively, all indicating decreasing rainfall amounts. Finally, the SPI Birnin Gwari and Kaduna experienced 18 months of severe drought, with maximum intensities of − 2.671 and − 3.111, respectively. Kafanchan experienced 25 months of drought with a maximum intensity of − 2.643, while Zaria experienced 30 months of drought with a maximum intensity of − 3.069. These severe droughts occurred from the 1970s to the 1990s. The study concluded that rainfall concentrations were mostly high and very high, and severe, catastrophic drought events occurred in the 1970s and 1980s.
Academia, Activism, and Popular Consciousness: A Response to Freedom Inc.
Authors: Jani Pranav 
Published: July 2024

AbstractMukti Mangharam’s Freedom Inc.: Gendered Capitalism in New Indian Literature and Culture, conducts a though investigation into the culture and ideology of neoliberal capitalism being produced in India today. But Mangharam’s approach is not to dismiss but to take seriously the appeal of individualism and entrepreneurism among its target audience: ordinary people looking for a way out of the material crises that neoliberalism has produced. In this response to Freedom Inc., Pranav Jani recognizes the empathetic and democratic impulse in Mangharam’s method and narrative style and finds a parallel in his own work as a scholar and organizer. How can scholars and activists concerned with the voice of the people recognize the fundamental heterogeneity of popular consciousness, neither romanticizing struggle nor foreclosing the possibility of reform, or even revolutionary change?