bluuebunny/crossref_metadata_2025_split huggingface dataset:
GREATCUBE+: conceptual design tool for CubeSat’s design
Authors: Girardello Carlo , Tajmar Martin , Scharlemann Carsten 
Published: June 2023

AbstractCubeSats are a type of spacecraft which have become popular since the early 2000. They are known for their quick development time and low cost, when comparing them to larger satellites. However, there is a significant drawback which has been recorded during these years of operations, namely an high failure rate which turns almost half of them into space debris. The reasons behind these malfunctions are often attributed to flawed spacecraft design choices or failures of commercial off-the-shelf (COTS) products. To improve the design of CubeSats, several software tools for performing the conceptual design have been proposed. These tools are often limited in their capabilities and are not suitable for all types of CubeSat missions. To address this issue, the University of Applied Sciences Wiener Neustadt (FHWN) in cooperation with Technische Universität Dresden is developing a software tool called GREATCUBE+. Its goal is to increase the success rate of CubeSats by providing a satellite model which is composed of commercial-off-the-shelf (COTS) products backed up by empirical heritage, analytical proof, and numerical analysis. One of the main features of this tool is the ability of dealing with different typologies of payloads. GREATCUBE+ has been validated with various successful CubeSat missions and it provides design solutions with an accuracy of above 90% when it comes to CubeSat weights and volumes. Using this software, CubeSat design teams can proceed from the conceptual development to the testing and assembly phases quicker, hoping to result in higher quality CubeSats and fewer failures.
Modern treatment strategies in pediatric oncology and hematology
Authors: Adamczewska-Wawrzynowicz Katarzyna , Wiącek Anna , Kozłowska Aleksandra , Mikosza Klaudia , Szefler Lidia , Dudlik Weronika , Dey Shreya , Varghese Noel , Derwich Katarzyna 
Published: June 2023

AbstractEvery year, approximately 400 00 children worldwide are diagnosed with cancer. Although treatment results in most types of childhood neoplasms are excellent with survival more than 80%, there are some with poor prognosis. Also recurrent and resistant to treatment childhood cancer remain a therapeutic challenge. Besides chemotherapy, which has been the basis of cancer therapy for years, molecular methods and precisely targeted therapies have recently found their usage. As a result of that, survival has improved and has positively impacted the rate of toxicities associated with chemotherapy (Butler et al. in CA Cancer J Clin 71:315–332, 2021). These achievements have contributed to better quality of patients' lives. Current methods of treatment and ongoing trials give hope for patients with relapses and resistance to conventional chemotherapy. This review focuses on the most recent progress in pediatric oncology treatments and discusses specific therapy methods for particular cancers types of cancer. Targeted therapies and molecular approaches have become more beneficial but research need to be continued in this field. Despite significant breakthroughs in pediatric oncology in the last few years, there is still a need to find new and more specific methods of treatment to increase the survival of children with cancer.
M1A and m7G modification-related genes are potential biomarkers for survival prognosis and for deciphering the tumor immune microenvironment in esophageal squamous cell carcinoma
Authors: Wang Ruixi , Cheng Xingyuan , Chi Dongmei , Liu Shiliang , Li Qiaoqiao , Chen Baoqing , Xi Mian 
Published: June 2023

AbstractBackgroundEsophageal squamous cell carcinoma (ESCC) is the most common esophageal malignancy, and RNA methylation has been reported to be involved in the tumorigenesis of ESCC. However, no study has explored methylation modifications in m1A and m7G as prognostic markers for survival prediction in ESCC.MethodsPublic gene-expression data and clinical annotation of 254 patients obtained from The Cancer Genome Atlas and the Gene Expression Omnibus databases were analyzed to identify potential consensus clusters of m1A and m7G modification-related genes. The RNA-seq of 20 patients in Sun Yat-Sen University Cancer Center was used as the validation set. Following screening for relevant differentially expressed genes (DEGs) and enrichment pathways were elucidated. DEGs were used to construct risk models using the randomForest algorithm, and the prognostic role of the models was assessed by applying Kaplan–Meier analysis. Extent of immune cell infiltration, drug resistance, and response to cancer treatment among different clusters and risk groups were also evaluated.ResultsConsensus clustering analysis based on m1A and m7G modification patterns revealed three potential clusters. In total, 212 RNA methylation-related DEGs were identified. The methylation-associated signature consisting of 6 genes was then constructed to calculate methylation-related score (MRScore) and patients were dived into MRScore-high and MRScore-low groups. This signature has satisfied prognostic value for survival of ESCC (AUC = 0.66, 0.67, 0.64 for 2-, 3-, 4- year OS), and has satisfied performance in the validation SYSUCC cohort (AUC = 0.66 for 2- and 3-year OS). Significant correlation between m1A and m7G modification-related genes and immune cell infiltration, and drug resistance was also observed.ConclusionsTranscriptomic prognostic signatures based on m1A and m7G modification-related genes are closely associated with immune cell infiltration in ESCC patients and have important correlations with the therapeutic sensitivity of multiple chemotherapeutic agents.
Development of predictive optimization model for autonomous rotary drilling system using machine learning approach
Authors: Amadi Kingsley , Iyalla Ibiye , Prabhu Radhakrishna , Alsaba Mortadha , Waly Marwa 
Published: June 2023

AbstractThe growing global energy demand and strict environmental policies motivate the use of technology and performance improvement techniques in drilling operations. In the traditional drilling method, the effort and time required to optimize drilling depend on the effectiveness of human driller in selecting the optimal set of parameters to improve system performance. Although existing work has identified the significance of upscaling from manual drilling to autonomous drilling system, little has been done to support this transition. In this paper, predictive optimization model is proposed for autonomous drilling systems. To evaluate optimized operating procedure, a comparative study of surface operating parameters using weight on bit (WOB), rotary speed (RPM) versus drilling mechanical specific energy (DMSE), and feed thrust (FET) is presented. The study used a data-driven approach that uses offset drilling data with machine learning model in finding a pair of input operating variables that serves as best tuning parameters for the topdrive and drawwork system. The results illustrate that derived variables (DMSE, FET) gave higher prediction accuracy with correlation coefficient (R2) of 0.985, root mean square error (RMSE) of 7.6 and average absolute percentage error (AAPE) of 34, whilst using the surface operating parameters (WOB, RPM) delivered an R2, RMSE and AAPE of 0.74, 28 and 106, respectively. Although previous researches have predicted ROP using ANN, this research considered the selection of tuning control variables and using it in predicting the system ROP for an autonomous system. The model output offers parameter optimization and adaptative control of autonomous drilling system.
Paleoclimate quantitative reconstruction and characteristics of continental red beds: a case study of the lower fourth sub-member of Shahejie Formation in the Bonan Sag
Authors: Xu Qisong , Wang Yongshi , Ma Lichi , Yue Yu , Meng Tao , Bi Junfeng , Jiang Chao 
Published: June 2023

AbstractVaried origins have the ability to construct the continental red beds, such as paleoclimate, provenance, drainage status, etc. Reconstructing paleoclimate is the key to investigate the origin. Thus, this paper outlines the normal distribution constrained method (NDCM) to reconstruct paleoclimate quantitatively and accurately during the lower fourth sub-member of Shahejie (Es4x) in the Bonan Sag, which is in low requirement of data and environmental conditions. Based on the NDCM, the paleoclimate is still in a long-term arid background as the potential evapotranspiration rates (PERs) are larger than 6 in the transgressive system tract (TST) and regressive system tract (RST) during the period of Es4x. The decreasing PERs that range from 6.28 to 6.04, decreasing atmospheric temperature range from 14.37 to 13.95 °C and increasing mean precipitation of the wettest month and mean precipitation of the driest month indicate the paleoclimate is breaking away from the hot and arid background from TST to RST. Meanwhile, the paleoclimate fluctuation develops decreasing frequency and increasing amplitude which can be inferred from the increasing standard deviation (std), Th/K and Th/U curves. The hot and arid background is still the main origin of red color during the Es4x. Moreover, the other origin may also develop since there is no clear law between red coloration and the developing location of sediments.
A note on groups with a large permodularly embedded subgroup
Authors: De Falco Maria , de Giovanni Francesco , Musella Carmela 
Published: June 2023

AbstractIt is known that if G is a group such that the centre factor group
$$G/\zeta (G)$$

G
/
ζ
(
G
)

is polycyclic, then also the commutator subgroup
$$G'$$

G
′

is polycyclic. The aim of this paper is to describe this situation from a lattice point of view. It is proved that if G is a group admitting a permodularly embedded non-periodic subgroup P such that the interval [G/P] is a polycyclic lattice, then G contains a polycyclic normal subgroup N such that G/N is quasihamiltonian.
The multifaceted nature of cooperation for innovation, ICT and innovative outcomes: evidence from UK Microdata
Authors: Giovannetti Emanuele , Piga Claudio 
Published: June 2023

AbstractCooperation in innovation activities is a key building block in forming entrepreneurial innovation networks. However, the impact on innovation of different forms of cooperation among multiple stakeholders composing a firm’s relational environment can be dramatically different, depending on whether the modalities of cooperation are tacit or explicit and the type of functional relations between the cooperating organizations. Information and Communication Technologies (ICTs) facilitate cooperation and innovation outcomes. The main aim of this paper is to disentangle the effects of explicit vs. tacit and complementarity vs. competitive modalities of cooperation in innovation activities on innovation outputs. Based on pooled UK Microdata from 2004 to 2010, this paper’s main finding is that tacit cooperation, emerging from R&D and ICTs spillovers, increases firms’ likelihood to introduce process, product, and organizational innovations. We also find that a firm’s functional relation with its cooperating peers determines the sign of the association with innovation outcomes: explicit cooperation among competitors lowers the level of innovations. In contrast, cooperation along the value chain brings more innovations.
Modelling of fatigue damage in granitic rock by piezoelectric effect in quartz phase due to alternating current excitation
Authors: Saksala Timo , Ruiz Arturo Rubio , Kouhia Reijo , Kane Alexandre , Hokka Mikko 
Published: June 2023

AbstractThis paper considers numerical modelling of hypothetical fatigue damage in granitic rock by alternating current (AC) excitation of piezoelectric properties of Quartz. For this end, a numerical method consisting of a rock mineral mesostructure model, an implicit time stepping scheme to solve the piezoelectro-mechanical problem, and a fatigue damage model was developed. The rock material was assumed to be heterogenous linear elastic and isotropic, save the Quartz piezoelectric properties, which are anisotropic. An evolution equation-based continuum scalar damage model based on an evolving back stress tensor and a moving Drucker–Prager type of endurance surface was applied to compute the damage inflicted by the AC excitation. The damage was computed in a post-processed mode, i.e., un-coupled to the material model, at this stage of investigations. Some preliminary axisymmetric simulations are presented with a rock mesotructure based on electron backscatter diffraction data. These simulations corroborate the hypothesis that fatigue damage can be induced on granitic rock by converse piezoelectric effect in the Quartz phase by sinusoidal alternating current. More specifically, fatigue damage was induced on a disc-shaped numerical rock sample at a voltage of 15 kV with 2.5 kHz of frequency.
An application of a supervised machine learning model for predicting life expectancy
Authors: Lipesa Brian Aholi , Okango Elphas , Omolo Bernard Oguna , Omondi Evans Otieno 
Published: June 2023

AbstractThe social and financial systems of many nations throughout the world are significantly impacted by life expectancy (LE) models. Numerous studies have pointed out the crucial effects that life expectancy projections will have on societal issues and the administration of the global healthcare system. The computation of life expectancy has primarily entailed building an ordinary life table. However, the life table is limited by its long duration, the assumption of homogeneity of cohorts and censoring. As a result, a robust and more accurate approach is inevitable. In this study, a supervised machine learning model for estimating life expectancy rates is developed. The model takes into consideration health, socioeconomic, and behavioral characteristics by using the eXtreme Gradient Boosting (XGBoost) algorithm to data from 193 UN member states. The effectiveness of the model’s prediction is compared to that of the Random Forest (RF) and Artificial Neural Network (ANN) regressors utilized in earlier research. XGBoost attains an MAE and an RMSE of 1.554 and 2.402, respectively outperforming the RF and ANN models that achieved MAE and RMSE values of 7.938 and 11.304, and 3.86 and 5.002, respectively. The overall results of this study support XGBoost as a reliable and efficient model for estimating life expectancy.
Im Namen des Volkes? Neue Sichtweisen auf die polnische Geschichte
Authors: Saryusz-Wolska Magdalena 
Published: June 2023

ZusammenfassungDie Besprechung präsentiert jüngste polnische Publikationen, die sich der „Geschichte des polnischen Volkes“, das heißt hauptsächlich der Geschichte der polnischen Bäuerinnen und Bauern sowie der Arbeiterinnen und Arbeiter, widmen. Allein zwischen 2020 und 2022 sind fünf solche Bücher in großen Auflagen erschienen. Ihre Autoren – Adam Leszczyński, Kacper Pobłocki, Kamil Janicki, Michał Rauszer und Mateusz Wyżga – initiierten hitzige Debatten über die soziale Herkunft der heutigen polnischen Gesellschaft sowie über die (mangelnde) Interdisziplinarität der bisherigen Geschichtswissenschaften in Polen. Die Autorin des Essays zeigt auf, dass es bereits vor dem Erscheinen der jüngsten Publikationen Anzeichen einer Neuorientierung im Bereich der Geschichtswissenschaften gab. Allerdings hielten erst die diskutierten fünf Bücher Einzug in die Öffentlichkeit jenseits der Fachkreise. Dieses öffentliche Interesse sei, so argumentiert die Autorin, Ausdruck von gegenwärtigen Wandlungen der Erinnerungskultur in Polen. Der bisherig dominierende Fokus auf die ‚Nation‘ stellt sich angesichts der Einwanderung, vor allem aus den weiter östlich liegenden Ländern, als unzureichend heraus. Die Verlegung des erinnerungskulturellen Schwerpunkts von der ‚Nation‘ auf die ‚Klasse‘ hat hingegen ein integratives Potenzial.
Physiological Changes and Nutritional Value of Forage Clitoria Grown in Arid Agro-Ecosystem as Influenced by Plant Density and Water Deficit
Authors: Shaaban Ahmed , Mahfouz Hamdy , Megawer Ekram Ali , Saudy Hani Saber 
Published: June 2023

AbstractForage crop productivity has lately reduced in countries located in arid and semi-arid regions worldwide due to intensive consumption and the successive years of drought. This problem is exacerbated by the progress of water scarcity. Thus, the current study is aimed at improving the forage productivity and quality of clitoria as a leguminous fodder crop to be involved in crop rotations under low water supply conditions. As an attempt for facing the drought issue, a two-year (SI and SII) field experiment was conducted to evaluate the influence of irrigation pattern (IP) and plant density (PD) on clitoria morpho-physiological attributes, nutritive value, productivity, and irrigation water-use efficiency (IWUE) in two growth cycles (GCI and GCII). Based on the soil water depletion method, three irrigation patterns of 100% (IP0%, full irrigation), 80% (IP20%), and 60% (IP40%) were applied. The tested plant densities were 33 (PD33), 22 (PD22), and 17 (PD17) plants m−2. Findings revealed that IP0%× PD22was the efficient treatment for enhancing the physio-biochemical attributes. However, in SI IP0%× PD22statistically at par (p≥0.05) with IP0%× PD33, IP20%× PD22, and IP20%× PD17(for chlorophyll content in GCI); IP0%× PD17and IP20%× PD22(for leaf relative water content in GCII); and IP0%× PD33, IP20%× PD33, and IP20%× PD22(for cell membrane stability index in GCII). Along the two seasons, IP40%× PD33was the potent practice for producing the highest leaf: stem ratio in both GCI (2.07 and 1.78) and GCII (1.18 and 0.96). Under IP40%, PD33treatment recorded the greatest protein content in both GCI (24.1–27.0%) and GCII (21.7–19.5%) of SI and SII equaling PD22in GCII (21.2–18.9%) of both seasons and PD17in both GCI (24.0%) and GCII (21.5%) of SI and GCII (19.3%) of SII. The best aggregate protein yield for SI and SII was obtained under IP20%× PD33interaction (1.36 and 1.40 t ha−1) without significant difference (p≥0.05) with IP0%× PD33or IP40%× PD33interactions. The greatest aggregate dry forage yield was observed in SI under IP0%or IP20%combined with PD33(7.77 and 7.52 t ha−1) which did not differ significantly (p≥0.05). It could be concluded that irrigation by 80% water of full irrigation was found to be an efficient water-saving tactic coupled with adjusting the plant density of 33 plants m−2, which improved clitoria forage quantitative and qualitative properties, in addition to enhancing IWUE. Since leaf relative water content and cell membrane stability index decreased and proline increased in plant tissues under deficit water, clitoria is plant considered a moderately drought tolerant. Thus, clitoria is a promising plant could be successfully grown under arid agro-ecosystems.
Allergic and other adverse reactions to drugs used in anesthesia and surgery
Authors: Baldo Brian A. 
Published: June 2023

AbstractThe list of drugs patients may be exposed to during the perioperative and postoperative periods is potentially extensive. It includes induction agents, neuromuscular blocking drugs (NMBDs), opioids, antibiotics, sugammadex, colloids, local anesthetics, polypeptides, antifibrinolytic agents, heparin and related anticoagulants, blue dyes, chlorhexidine, and a range of other agents depending on several factors related to individual patients’ clinical condition and progress in the postoperative recovery period. To avoid poor or ultrarapid metabolizers to a particular drug (for example tramadol and codeine) or possible adverse drug reactions (ADRs), some drugs may need to be avoided during or after surgery. This will be the case for patients with a history of anaphylaxis or other adverse events/intolerances to a known drug. Other drugs may be ceased for a period before surgery, e.g., anticoagulants that increase the chance of bleeding; diuretics for patients with acute renal failure; antihypertensives relative to kidney injury after major vascular surgery; and serotonergic drugs that together with some opioids may rarely induce serotonin toxicity. Studies of germline variations shown by genotyping and phenotyping to identify a predisposition of genetic factors to ADRs offer an increasingly important approach to individualize drug therapy. Studies of associations of human leukocyte antigen (HLA) genes with some serious delayed immune-mediated reactions are ongoing and variations of drug-metabolizing cytochrome CYP450 enzymes, P-glycoprotein, and catechol-O-methyltransferase show promise for the assessment of ADRs and non-responses to drugs, particularly opioids and other analgesics. Surveys of ADRs from an increasing number of institutions often cover small numbers of patients, are retrospective in nature, fail to clearly identify culprit drugs, and do not adequately distinguish immune-mediated from non-immune-mediated anaphylactoid reactions. From the many surveys undertaken, the large list of agents identified during and after anesthesia and surgery are examined for their ADR involvement. Drugs are classified into those most often involved, (NMBD and antibiotics); drugs that are becoming more frequently implicated, namely antibiotics (particularly teicoplanin), and blue dyes; those becoming less frequently involved; and drugs more rarely involved in perioperative, and postoperative adverse reactions but still important and necessary to keep in mind for the occasional potential sensitive patient. Clinicians should be aware of the similarities between drug-induced true allergic type I IgE/FcεRI- and pseudoallergic MRGPRX2-mediated ADRs, the clinical features of each, and their distinguishing characteristics. Procedures for identifying MRGPRX2 agonists and diagnosing and distinguishing pseudoallergic from allergic reaction mechanisms are discussed.
Graphical Abstract
The war in Ukraine: Consequences for the economy, labour class and equitable development in Europe and beyond
Authors: Żuk Piotr 
Published: June 2023

AbstractThis article encourages critical discussion about the economic and social consequences of the war in Ukraine. This war has global effects in various dimensions of social life: energy policy, the environmental dimension, the economic sphere, and also the political atmosphere. In each of these dimensions, it poses a threat to sustainable development and the interests of the labour class in Europe. It attempts to change the balance of power in global geopolitics and also proves to be a useful cover for attempts to change the model of relations between employees and the state and business in many European countries. Due to the conflict in Ukraine and the ensuing calls for increased efforts to ‘ensure security’, Europe has turned towards a war economy in which the interests of the arms industry are more important than the interests of the working classes. The war in Ukraine has proved to be an excellent justification for governments to lower social standards and get rid of the remnants of the welfare state. From this perspective, the atmosphere of the New Cold War becomes a challenge for the labour movement, the global left and all progressive social circles.
TERTULLIAN'S CHRISTIAN CHAMELEON
Authors: Woods David 
Published: June 2023

AbstractIt is argued that Tertullian's relatively lengthy description of a chameleon in his De pallio serves as a metaphor not so much for the convert to a philosophical way of life in general but for the convert to Christianity in particular. The argument rests on the unusual emphases within this description which recall different features of Christianity or popular beliefs about the same.