bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extracellular Matrix Structure and Interaction with Immune Cells in Adult Astrocytic Tumors
Authors: Di Vito Anna , Donato Annalidia , Bria Jessica , Conforti Francesco , La Torre Domenico , Malara Natalia , Donato Giuseppe 
Published: July 2024

AbstractThe extracellular matrix (ECM) is a dynamic set of molecules produced by the cellular component of normal and pathological tissues of the embryo and adult. ECM acts as critical regulator in various biological processes such as differentiation, cell proliferation, angiogenesis, and immune control. The most frequent primary brain tumors are gliomas and by far the majority are adult astrocytic tumors (AATs). The prognosis for patients with these neoplasms is poor and the treatments modestly improves survival. In the literature, there is a fair number of studies concerning the composition of the ECM in AATs, while the number of studies relating the composition of the ECM with the immune regulation is smaller. Circulating ECM proteins have emerged as a promising biomarker that reflect the general immune landscape of tumor microenvironment and may represent a useful tool in assessing disease activity. Given the importance it can have for therapeutic and prognostic purposes, the aim of our study is to summarize the biological properties of ECM components and their effects on the tumor microenvironment and to provide an overview of the interactions between major ECM proteins and immune cells in AATs. As the field of immunotherapy in glioma is quickly expanding, we retain that current data together with future studies on ECM organization and functions in glioma will provide important insights into the tuning of immunotherapeutic approaches.
Graphical Abstract
Low resource Twi-English parallel corpus for machine translation in multiple domains (Twi-2-ENG)
Authors: Agyei Emmanuel , Zhang Xiaoling , Bannerman Stephen , Quaye Ama Bonuah , Yussi Sophyani Banaamwini , Agbesi Victor Kwaku 
Published: July 2024

AbstractAlthough Ghana does not have one unique language for its citizens, the Twi dialect stands a chance of fulfilling this purpose. Twi is among the low-resourced language categories, yet it is widely spoken beyond Ghana and in countries such as the Ivory Coast, Benin, Nigeria, and other places. However, it continues to be seen as the perfect resource for Twi Machine Translation (MT) of IS0 639-3. The issue with the Twi-English parallel corpus is eminent at the multiple domain dataset level, partly due to the complex design structure and scarcity of the digital Twi lexicon. This study introduced Twi-2-ENG, a large-scale multiple domain Twi to English parallel corpus, Twi digital Dictionary, and lexicon version of Twi. Also, it employed the Ghanaian Parliamentary Hansards, crowdsourcing, and digital Ghana News Portals to crawl all the English sentences. Our curled news portals accumulated 5,765 parallel corpus sentences, the Twi New Testament Bible, and social media platforms. The data-gathering method used means of translation, compilation, tokenization, and the final alignments with the Twi-English parallel sentences, including the technology employed in compiling and hosting the corpus, were duly discussed. The results reveal that the role of manually qualified linguistic professionals and Twi translation specialists across the media spectrum, academia, and well-wishers adds a considerable volume to the Twi-2-ENG parallel corpus. Finally, all the sentences were curated with the help of a corpus manager, sketch engine, linguistics, and professional translators to align and tokenize all texts, allowing the Twi professional linguists to evaluate the corpus.
Examining long-term fuel and land use patterns at Ziyaret Tepe, Türkiye using an integrated analysis of seeds, wood charcoal, and dung spherulites
Authors: Proctor Lucas , Smith Alexia , Matney Timothy 
Published: July 2024

AbstractThis study presents the results of a combined dendrological, macrobotanical, and dung spherulite analysis of flotation samples collected from Bronze Age, Late Assyrian, and post-Assyrian contexts at the site of Ziyaret Tepe, located on the southern bank of the Tigris River in southeastern Anatolia. The results of this study show shifting fuel resource exploitation between pre-urbanized phases of the site (ca. 3000–1600 BCE), the urbanized Late Assyrian occupation (882–611 BCE), and the ruralized post-Assyrian (ca. 611 BCE–1500 CE) re-occupations of the site. During the Late Assyrian period, Ziyaret Tepe is thought to have been the location of the city of Tušhan, an important provincial capital of the Neo-Assyrian empire. Evidence for local deforestation near the Tigris River and expanding reliance on dung fuel use during this period indicate overexploitation of fuel resources as larger populations and extractive imperial economic policies placed heavier pressure on local land use. Qualitative dendrological data provides evidence for the intensification of fuelwood harvesting during this period, while textual evidence documented an expansive program of timbering to the north of the site intended to fuel imperial construction projects in the Assyrian heartland. Following the abandonment of Tušhan and the collapse of the Neo-Assyrian empire, local fuel resource exploitation during subsequent occupations of the site shifted towards the direct management of wood fuel resources and increasing reliance on rural pastoralism.
Comparison of Warm and Cold Forging with Friction Welding for Inner Constant Velocity Joints (CVJs)
Authors: Afseoren Mesut , Ersoz Tugrul Talha , Yildirim Mehmet 
Published: July 2024

AbstractDriveshafts are used in all vehicles, and their service life is expected to be at least three years or 100.000 km. Many driveshaft manufacturers prefer friction welding due to its relatively cheaper cost and ease of the process. However, they should meet some property-related criteria to achieve the expected lifetime. The forging technique becomes essential to succeed in these mechanical requirements. A comparative study evaluates the performance of constant velocity joints (CVJs) produced by multi-step warm–cold forging and friction welding processes. Medium carbon steels were used in both of the techniques. The microstructures, mechanical properties (i.e. hardness, strength, impact energy and shear strength), low-cycle fatigue (LCF) properties, wear resistance and cost-efficiency (number of operations, material saving, number of produced components and cost) are compared in detail for an industrial production point of view. The experimental results reveal that warm–cold forged specimens exhibit superior mechanical properties such as increased strength, hardness, relatively higher impact energy, improved shear strength, relatively longer LCF life and enhanced wear resistance (lower wear volume loss). In addition, it is also assessed that warm–cold forging is a more cost-effective manufacturing process (reduced weight, decreased number of operations and increased yield) in the production of CVJs compared to the friction welding process.
The pathogenesis mechanism and potential clinical value of lncRNA in gliomas
Authors: Liu Yuan , Yuan Hui , Fan JingJia , Wang Han , Xie HuiYu , Wan JunFeng , Hu XueYing , Zhou Jie , Liu Liang 
Published: July 2024

AbstractGlioma is the most common malignant tumor in the central nervous system, and its unique pathogenesis often leads to poor treatment outcomes and prognosis. In 2021, the World Health Organization (WHO) divided gliomas into five categories based on their histological characteristics and molecular changes. Non-coding RNA is a type of RNA that does not encode proteins but can exert biological functions at the RNA level, and long non-coding RNA (lncRNA) is a type of non-coding RNA with a length exceeding 200 nt. It is controlled by various transcription factors and plays an indispensable role in the regulatory processes in various cells. Numerous studies have confirmed that the dysregulation of lncRNA is critical in the pathogenesis, progression, and malignancy of gliomas. Therefore, this article reviews the proliferation, apoptosis, invasion, migration, angiogenesis, immune regulation, glycolysis, stemness, and drug resistance changes caused by the dysregulation of lncRNA in gliomas, and summarizes their potential clinical significance in gliomas.
Sunflower (Helianthus annuus) seeds as a natural coagulant for water turbidity treatment: assessment of efficacy and dosage
Authors: Mahamba Caston , Palamuleni Lobina Gertrude 
Published: July 2024

AbstractThe quality of river and borehole water fluctuates because of both agricultural and industrial pollutants. Surface runoff during the rainy seasons is high which promote increased turbidity levels in water sources, and this exerts pressure on the quality and usability of the water for domestic use. Unfortunately, most municipalities in developing countries are poor to afford conventional water treatment methods. This study assessed the use of natural coagulants extracted from sunflower seeds for turbidity treatment. Water samples were collected during summer, winter, and autumn from 10 randomly selected groundwater sources and three segments of the Mwerahari River in Buhera District, Zimbabwe. Results captured seasonal turbidity variations across the river segments and the boreholes. Summer season recorded the maximum average levels of turbidity (76 NTU) while autumn and winter recorded 38.7 NTU 36.7 NTU, respectively. Water turbidity levels were above the acceptable 5 NTU Standard Association of Zimbabwe and WHO. The maximum removal efficiency of turbidity was achieved at 80 min at the dose of 4 g/l. These results revealed that the removal efficiency of 95% with 4.6 NTU turbidity is a function of dose; removal efficiency increases as dose of coagulant increases. These results demonstrated that sunflower seed is an effective low-cost natural coagulant for turbidity water treatment.
Optimal saturated information load analysis for enhancing robustness in unmanned swarms system
Authors: Wu Jian , Jiang Yichuan , Tang Junjun , Ding Linfei 
Published: July 2024

AbstractSaturated information load is defined as the information received by a unmanned aerial vehicle (UAV) node in a swarm network reaches the overload limit of its processing capability. When a UAV swarm performs a mission in an uncertain and adversarial complex environment, overloading of UAVs will lead to information diversion, which may cause other UAVs to experience overloading and diversion as well, affecting the transmission efficiency and robustness of the entire swarm network, which in turn affects the information sensing ability, execution ability, and coordination ability of the swarm in performing the mission. Therefore, this paper proposes a saturated information load-based UAV swarm network topology modelling method, which sets the saturated information load of the nodes in the network model in order to reasonably allocate network resources and optimise the network topology. In addition, through robustness experiments of complex networks and comparative analysis of different saturated information loads and three typical modelling methods, the saturated information load-based network structure modelling method has outstanding advantages and performance in terms of network connectivity, network communication efficiency, and destruction resistance.
Vacare: from Lectio Divina to Contemplative Reading. Making space for the personal formation of secondary school students
Authors: van Deursen-Vreeburg Juliëtte 
Published: July 2024

AbstractThe personal formation of students is an important goal in Religious Education in secondary schools in the Netherlands. This article, which is based on the design research of my PhD dissertation, examines how a contemplative approach to reading stories can, according to Religious Education teachers, contribute to the personal formation of students. Thus, a teacher’s manual, based on the monastic tradition of Lectio Divina, was designed and tested for the Contemplative Reading of Biblical parables. What possibilities does this teacher’s manual for Contemplative Reading offer for creating space for the personal formation of students in daily teaching practice? How do the results of this intervention contribute to the theory of personal formation and the theory of contemplative practices in education? Cultivating a space for freedom—vacare—appears to be essential. Contemplative Reading can open this space of attention and listening in the classroom.
Differential characteristics of lithological assemblages and gas-bearing of the Permian Longtan Formation mudstone in well L3, southeastern Sichuan Basin
Authors: Cao Qian , Xu Hao , Jiang Ke , Liu Ruiyin , Qi Minghui , Wang Linqi , Li Feiyu , Ma Binyang , Pu Feilong 
Published: July 2024

AbstractAs the main reservoir of coalbed gas in southeastern Sichuan, the mudstone of the Permian Longtan Formation has been drilled to obtain industrial gas, but the level of exploration and development is low. The researches on the types of lithological assemblages, reservoir characteristics, and gas-bearing properties are poor, which limits the evaluation and selection of the sweet point area for the marine-continental transitional shale gas. In this paper, by comparing the differential of different lithological distribution in the well L3, multiple discriminant functions and logging interpretation models for different lithology are established to determine the classification criteria of lithological assemblage types of shale formations. Based on the experimental results of high-temperature and high-pressure isothermal adsorption, the reservoir space distribution and gas-bearing characteristics of mudstone in different lithological assemblages are compared and analyzed. It is indicated that the four lithological assemblage types are found in the Permian Longtan Formation, including thick mudstone with the interlayer of coalbed (Type I), rich mudstone with the interlayer of sandstone and thin coalbed (Type II), sandstone interbedded with mudstone with the interlayer of coalbed (Type III), and limestone interbedded with sandstone with the interlayer of mudstone (Type IV), which are superimposed with each other. The different pore structure characteristics of mudstone in different lithological assemblages is the main influencing factor of differential gas-bearing property. The dominant lithological assemblages are Type I and Type II. Coalbed and carbonaceous mudstone are the source rock and primary storage space of adsorbed gas. Moreover, with low porosity and permeability, high breakthrough pressure and the strong sealing capacity of regional mudstone, it is easy to form the “microtrap” to store the natural gas. The sealing capacity of mudstone provides a favorable condition for gas preserve. Under the dynamic condition of hydrocarbon generation, the pressure storage box is formed, accompanied with the fine reservoir spaces and gas-bearing contents.
The Relationships between Metacognitive Beliefs and Personality Dysfunction: A Test Controlling for Personality Traits, Emotional Distress Symptoms and General Functioning
Authors: Strand Eivind R. , Hjemdal Odin , Nordahl Hans M. , Nordahl Henrik 
Published: July 2024

AbstractPersonality dysfunction operationalized as impairment in self- and interpersonal functioning is a characteristic of personality disorders. The metacognitive model suggests that dysfunctional metacognitive beliefs are a common cause of psychological disorders, but the relevance and importance of metacognitions for personality dysfunction is less explored and was the objective for the current study. In a sample of 1278 individuals, we conducted a multiple hierarchical regression analysis to test the predictive role of metacognitive beliefs for personality dysfunction. We found a unique and independent contribution from negative beliefs about the uncontrollability and danger of worry and lower cognitive confidence to personality dysfunction whilst controlling age, gender, maladaptive personality traits, big-5 personality traits, emotional distress symptoms, and general psychosocial functioning. The results bring further support for the metacognitive model of psychological disorders which may be relevant for formulation and treatment of personality dysfunction and disorder.
Objective method of predicting monsoon onset over Kerala in medium and extended range time scale using Numerical Weather Prediction models
Authors: Pattanaik D. R. , Bushair M. T. 
Published: July 2024

AbstractThe southwest monsoon onset over Kerala (MOK) is very crucial for an Agricultural country like India hence its prediction in the extended range time scale (about 3 weeks in advance) is very useful for the Kharif season in India. As the declaration of MOK involves subjective interpretation of the forecasters, an objective method of prediction of MOK based on dynamical models could successfully avoid bogus onsets. Two objective prediction methods for MOK are developed based on the real-time extended range forecast (ERF) of rainfall measured over Kerala coast 080-120N, 740-780E and the strength and depth of the westerly wind over the Arabian Sea (050-120N, 550-750E) for the period from 2003 to 2022 are used in the first method. In addition to these 3 indices, meridional pressure gradient along the west coast of India is used in the second method with 4 indices. The MOK date is defined objectively based on these variables exceeding the thresholds in both the methods. The results indicate that the MOK forecast with four indices performed well compared to that with three indices during the whole period from 2003 to 2022 with the mean deviation days of MOK found to be 0.75 and 3.05 days respectively. Overall, the dynamically defined onset date over Kerala based on the real-time ERF indicated useful skill at least about 2–3 weeks in advance. It is also demonstrated that the district-level Multi-Model Ensemble forecast in the medium range (5 days in advance) based on 5 global models can add value to the categorical ERF of MOK for the exact forecast date of MOK.
Development of Novel Hybrid Intelligent Predictive Models for Dilution Prediction in Underground Sub-level Mining
Authors: Chimunhu Prosper , Faradonbeh Roohollah Shirani , Topal Erkan , Asad Mohammad Waqar Ali , Ajak Ajak Duany 
Published: July 2024

AbstractTenuous dilution estimates in underground mine production scheduling continue to cause significant variations between schedule forecasts and actual production. This arises partly from the inference of dilution from predecessor stopes’ performance, disregarding that these stopes would have undergone multiple intermediate design changes between scheduling and actual mining. The resultant drill and blast-influenced dilution factors gradually lose its robustness over longer planning horizons or when applied to greenfield or brownfield expansions that do not have prior performance data. To overcome this problem, a new methodology is proposed to predict dilution in underground sub-level open stoping (SLOS) using basic geological, geotechnical and stope design attributes available in the early stage of mine planning. The method utilises principal component analysis (PCA), classification and regression tree (CART) algorithm and stepwise selection and elimination (SSE) analysis. First, SSE analysis was conducted to identify the most important independent variables to be used with the CART algorithm (i.e., the SSE-CART model) to provide a predictive model. PCA analysis was then performed, and the new principal components were used to propose a new comparative model (i.e., the PCA-CART model). Low R2 values were observed for both models, necessitating the consolidation of dilution categories to increase the models’ prediction bandwidth. The hybrid PCA-CART model outperformed the SSE-CART model with overall F1 score prediction accuracy of 72% and target dilution category prediction accuracy of over 93% against SSE-CART’s 70% and 72%, respectively. Importantly, this study revealed a 13% minimum underestimation of dilution relative to the original design stopes.
Artificial intelligence in infrastructure construction: A critical review
Authors: Chen Ke , Zhou Xiaojie , Bao Zhikang , Skibniewski Mirosław Jan , Fang Weili 
Published: July 2024

AbstractArtificial intelligence (AI) has emerged as a promising technological solution for addressing critical infrastructure construction challenges, such as elevated accident rates, suboptimal productivity, and persistent labor shortages. This review aims to thoroughly analyze the contemporary landscape of AI applications in the infrastructure construction sector. We conducted both quantitative and qualitative analyses based on 594 and 91 selected papers, respectively. The results reveal that the primary focus of current AI research in this field centers on safety monitoring and control, as well as process management. Key technologies such as machine learning, computer vision, and natural language processing are prominent, with significant attention given to the development of smart construction sites. Our review also highlights several areas for future research, including broadening the scope of AI applications, exploring the potential of diverse AI technologies, and improving AI applications through standardized data sets and generative AI models. These directions are promising for further advancements in infrastructure construction, offering potential solutions to its significant challenges.
Visualizing blockchain in construction projects: Status quo, challenges, and a guideline for implementation
Authors: Wu Liupengfei , Lu Weisheng , Chu Louis , Chen Chen 
Published: July 2024

AbstractThe use of blockchain technology in construction engineering and management (CEM) is increasing, yet current presentations of blockchain-based data management processes (DMP) are considered too primitive to encourage the technology’s broader diffusion in CEM. This research aims to provide a set of guidelines for visualizing blockchain-based DMP in CEM. First, a conceptual model is proposed to guide the research design. Next, 49 cases published in scholarly papers are reviewed, revealing an increasing use of dashboards to visualize blockchain-based DMP. Then, four challenges for visualizing blockchain are identified, namely, data diversity, visualization tools, visualization mediums, and visualization domain. Finally, we present guidelines for visualizing blockchain in construction projects, which involve: (1) targeting the visualization domain, (2) planning the blockchain visualization, (3) choosing a visualization tool, (4) selecting a visualization medium, and (5) fine-tuning the visualization solution. This research encourages researchers to further develop visualization solutions to harness blockchain benefits in CEM.
Reviewing feminist macroeconomics for the twenty-first century
Authors: Zuazu Izaskun 
Published: July 2024

AbstractFeminist macroeconomics draws on the notion that the gender system is both cause and consequence of macroeconomic structures, outcomes, and policies. In contrast, mainstream and heterodox macroeconomics have done little to integrate gender as an analytical tool in macro-modelling. This paper defines the subfield of feminist macroeconomics, explores its origins, and provides a systematic review of its literature. Drawing on Seguino (2013), the paper divides the subfield in three main strands: (i) feminist growth theory and gender dimensions of macro-level policies, (ii) macro-modelling and theoretical foundations of the care economy, and (iii) social infrastructure and intra-household allocation. The paper discusses potential ways to expand the foci of feminist macroeconomic research and considers challenges to the subfield such as methodological issues regarding male-biased metrics and limited data availability and the tensions with mainstream approaches to gender and the macroeconomy.