bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pathfinder elements and indicator minerals of Au from the Kubi Gold ore deposits in Ghana
Authors: Nzulu Gabriel K. , Högberg Hans , Eklund Per , Hultman Lars , Nude Prosper M. , Yaya Abu , Magnuson Martin 
Published: August 2023

AbstractThe Au mineralization in the Kubi Gold Mining Area in the Birimian of Ghana is associated with garnet (about 85 vol.%), magnetite, pyrrhotite, arsenopyrite, and sulfide minerals, as well as quartz with gold and calcite. These minerals and the included elements can act as indicator minerals or pathfinder elements. For the present work, we collected samples from drill holes at different depths, from the alluvial zone (0–45 m) to the ore zone (75–100 m). The distributions of minerals and elements in the rocks that act as indicator minerals and pathfinder elements in the concession area were investigated along the drill hole cross sections. X-ray diffraction shows that the samples contain garnet, pyrite, periclase, and quartz as the main indicator minerals. By energy-dispersive X-ray spectroscopy, Fe, Mg, Al, S, O, Mn, Na, Cu, Si, and K are identified as corresponding pathfinder elements. The results indicate that the Au mineralization in the Kubi Mine area correlates mostly with the occurrence of garnet, pyrite, goethite, and kaolinite in the host rocks, which show towards the surface increasingly hematitic and limonitic alteration in form of Fe(oxy-)hydroxides.
Orchestrating productive classroom talk in Swiss second grade mathematics classrooms
Authors: Rüede Christian , Streit Christine , Mok Sog Yee , Laubscher Rahel 
Published: August 2023

AbstractProductive classroom talks provide a variety of learning opportunities including the collaborative construction of mathematical meaning. To support the orchestration of productive classroom talk, teachers can use specific conversational strategies called “talk moves”. Positive relations between the number of productive talk moves, discourse quality, and learning success have been demonstrated, but mostly at the secondary school level and in English-speaking countries. There are very few findings from elementary school in German-speaking countries. The present study makes the first step towards closing this gap by analyzing classroom talk in mathematics second grade classes in Switzerland (n = 22). The dataset includes recordings of mathematics lessons as well as students’ pretest and posttest performance in mathematics. The results show that teachers varied in their use of productive talk moves and that some talk moves such as reasoning moves were preferred, depending on the teacher. In addition, the number of productive talk moves was positively related to both the number of justifications students provided and their learning success. Implications for the use of productive classroom talk in elementary school mathematics lessons are discussed.
Drilling-vibration response characteristics of rocks based on Hilbert–Huang transform
Authors: Fang Xinxin , Feng Hong , Wang Yunhong , Liu Xiao , Liu Xiaoyu , Xu Sihui , Wang Yanqiu , Ni Xiaowei 
Published: August 2023

AbstractCurrently, there are no in-situ methods to quantify drilling-vibration response characteristics of different lithologies. Here, we quantified the vibration responses of four lithologies (limestone, sandstone, coal, and mudstone) using a combination of theoretical deduction and numerical simulation. First, a drilling-vibration model of a particular rock was established, and the differential equations of motion and vibration responses to rock/drill bit interactions with the formation were derived. Next, finite-element simulation was adopted to simulate the rock/drill-bit interactions of the four lithologies. Finally, the Hilbert–Huang transform (HHT) was applied to extract characteristic waveforms, frequency bands, peak frequencies, and marginal spectra of vibration signals. Simulations revealed that the highest and lowest vibration responses were observed in limestone and mudstone, respectively. Vibration acceleration was proportional to the Young's modulus of rocks, whereas vibration displacement and velocity were inversely proportional to Young's modulus, compressive strength, and density. Based on the HHT results, among the four lithologies, vibration responses had the largest characteristic frequency segments and peak frequencies in limestone (28.1–34.6 kHz and 33.4 kHz, respectively), whereas those of mudstone were the smallest (15.6–21.3 kHz and 19.6 kHz, respectively). The results of this study provide a theoretical basis for establishing an identification method and expert knowledge database of lithology based on drilling-vibration responses.
The learning curve on robot-assisted transaxillary thyroidectomy performed by a single endocrine surgeon in a third-level institution in Europe: a cumulative sum (CUSUM) analysis
Authors: Materazzi Gabriele , Papini Piermarco , Fregoli Lorenzo , Morganti Riccardo , De Palma Andrea , Ambrosini Carlo Enrico , Rossi Leonardo 
Published: August 2023

AbstractRobot-assisted transaxillary thyroidectomy is widely performed in Asian countries, although it is still under discussion in the Western World. However, there have been few studies reporting on the learning curve of robot-assisted transaxillary thyroidectomy. We used the cumulative sum (CUSUM) analysis to assess the learning curve of gasless robot-assisted transaxillary thyroidectomy at a third-level institution in Europe. We included all consecutive patients operated by a single surgeon without previous experience of robotic surgery from February 2012 to January 2023. The primary endpoint of the study was the learning curve extracted from the median operative time using the CUSUM method for the quantitative assessment. Overall, 583 patients were enrolled. The median operative time for thyroid lobectomy and total thyroidectomy was 70 and 90 min, respectively. The CUSUM analysis showed that the learning curve for thyroid lobectomy and total thyroidectomy is 66 and 56 cases, respectively. Moreover, the presence of thyroiditis resulted associated with shorter operative time for total thyroidectomy (p = 0.044), whereas no factors resulted associated with surgical complications. The learning curve for performing robotic transaxillary thyroid lobectomy for a surgeon without previous robotic experience is 66 cases. After that, 56 cases must be performed to acquire proficiency in robotic transaxillary total thyroidectomy. Training programs may reduce the slope of the learning curve.
Challenges of legal structure and judicial principles governing the Statutes of the Iranian Football Federation
Authors: Ghodsirad Vahidreza , Hosseiney Raheleh Sadat , Lloret Jose Domingo Valls 
Published: August 2023

AbstractThis paper aims to examine the legal framework and principles governing the Statutes of the Iranian Football Federation [FFIRI (The acronyms FFIRI and IRIFF have been interchangeably employed in various correspondences involving the AFC and FIFA). The FFIRI Statutes, which defines and explains the legal structure of the organization, is central to the establishment of judicial principles governing the football organization. It serves as the official framework for establishing substantive legal principles, and as such, is subject to challenges. The challenges surrounding the FFIRI Statutes are primarily concentrated around three main areas: sports-related laws, legal structure definitions in the Statutes, and the jurisdiction of judicial bodies within the Football Federation. In this article, a comparative analysis of the latest version of the FFIRI Statutes with its previous version is presented to assess the resulting improvements and shortcomings, as well as identify any remaining unaddressed issues, both in terms of form and substance.
Standing Waves Solutions for the Discrete Schrödinger Equations with Resonance
Authors: Wang Zhenguo , Li Qiuying 
Published: August 2023

AbstractIn this paper, by using linking methods, we obtain the existence of the nontrivial standing wave solutions for the discrete nonlinear Schrödinger equations with resonance and unbounded potentials. In order to prove the existence of standing wave solutions, we give resonant condition to find a bounded critical sequence, and we show that such a sequence guarantees the existence of one nontrivial standing wave solution in $$l^{2}$$

l
2

when the nonlinearity is resonant and the potential is unbounded. To the best of the our knowledge, there is no existence results for the discrete nonlinear Schrödinger equations with resonance in the literature.
Geometric sieve over number fields for higher moments
Authors: Micheli Giacomo , Schraven Severin , Tinani Simran , Weger Violetta 
Published: August 2023

AbstractThe geometric sieve for densities is a very convenient tool proposed by Poonen and Stoll (and independently by Ekedahl) to compute the density of a given subset of the integers. In this paper we provide an effective criterion to find all higher moments of the density (e.g. the mean, the variance) of a subset of a finite dimensional free module over the ring of algebraic integers of a number field. More precisely, we provide a geometric sieve that allows the computation of all higher moments corresponding to the density, over a general number field K. This work advances the understanding of geometric sieve for density computations in two ways: on one hand, it extends a result of Bright, Browning and Loughran, where they provide the geometric sieve for densities over number fields; on the other hand, it extends the recent result on a geometric sieve for expected values over the integers to both the ring of algebraic integers and to moments higher than the expected value. To show how effective and applicable our method is, we compute the density, mean and variance of Eisenstein polynomials and shifted Eisenstein polynomials over number fields. This extends (and fully covers) results in the literature that were obtained with ad-hoc methods.
The protective effect of endurance running against the pro-invasive effects of ageing in breast cancer cells and mesenchymal stem cells in vitro
Authors: Brown Marie-Juliet , Nickels Matt , Akam Elizabeth C. , Morris Mhairi A. 
Published: August 2023

Abstract
Purpose
Regular exercise is known to reduce cancer risk and may prevent metastases, however, modelling this in vitro is challenging due the heterogeneity of the tumour microenvironment. Exercised serum can be used to capture changes in cellular signalling components in response to different types and durations of exercise. In this study, exercised serum from long-term endurance runners and sprinters of different ages was used to evaluate the impact of exercise on the invasiveness of breast cancer cells and mesenchymal stem cells in vitro.

Methods
Exercised serum from long-term trained younger and older endurance runners and sprinters was used to supplement cell culture media in the 3D culture of spheroids containing breast cancer cells or mesenchymal stem cells. Spheroids were generated in a 3D semi-solid matrix and cell invasion was measured using ImageJ software. Statistical analyses of invasion were conducted using one-way ANOVAs.

Results
Invasion was significantly greater in cells cultured with serum from older, inactive participants compared to young, inactive participants (YC vs OC; F (1,3) = 37.135, P = 0.009). No significant difference was found in the invasion of MDA-MB-231 breast cancer cells cultured in serum from older, long-term endurance runners and younger, long-term endurance runners (YE vs OE; F (1,3) = 5.178, P = 0.107), suggesting a protective effect of endurance running against the pro-invasive effects of ageing.

Conclusion
This is the first study of its kind to demonstrate the protective effects of long-term exercise training type in two populations of different ages against the invasiveness of breast cancer cells in vitro.
Comorbidities directly extracted from the hospital database for adjusting SSI risk in the new national semiautomated surveillance system in France: The SPICMI network
Authors: Picard Jérémy , Nkoumazok Béatrice , Arnaud Isabelle , Verjat-trannoy Delphine , Astagneau Pascal 
Published: August 2023

AbstractObjective:To evaluate the performance of a comorbidity-based risk-adjustment model for surgical-site infection (SSI) reporting and benchmarking using a panel of variables extracted from the hospital discharge database (HDD), including comorbidities, compared to other models that use variables from different data sources.Methods:The French national surveillance program for SSI (SPICMI) has collected data from voluntary hospitals in the first 6 months of 2020 and 2021, for 16 selected surgery procedures, using a semiautomated algorithm for detection. Four risk-adjustment models were selected with logistic regression analysis, combining the different patterns of variables: National Nosocomial Infections Surveillance System (NNIS) risk-index components, individual operative data, and 6 individual comorbidities according to International Classification of Disease, Tenth Revision (ICD-10) diagnosis: obesity, diabetes, malnutrition, hypertension, cancer, or immunosuppression. Areas under the curve (AUCs) were calculated and compared.Results:Overall, 294 SSI were detected among 11,975 procedures included. All 6 comorbidities were related to SSI in the univariate analysis. The AUC of the selected model including comorbidities (0.675; 95% confidence interval [CI], 0.642–0.707), was significantly higher than the AUC of the model without comorbidities (0.641; 95% CI, 0.609–0.672; P = .016) or the AUC using the NNIS-index components (0.598; 95% CI, 0.564–0.630; P < .001). The HDD-based model AUC (0.659; 95% CI, 0.625–0.692) did not differ significantly from the selected model without comorbidities (P = .23).Conclusion:Including HDD-based comorbidities as patient case-mix variables instead of NNIS risk index factors could be an effective approach for risk-adjustment of automated SSI surveillance more widely accessible to hospitals.
Apartness, sharp elements, and the Scott topology of domains
Authors: de Jong Tom 
Published: August 2023

AbstractWorking constructively, we study continuous directed complete posets (dcpos) and the Scott topology. Our two primary novelties are a notion of intrinsic apartness and a notion of sharp elements. Being apart is a positive formulation of being unequal, similar to how inhabitedness is a positive formulation of nonemptiness. To exemplify sharpness, we note that a lower real is sharp if and only if it is located. Our first main result is that for a large class of continuous dcpos, the Bridges–Vîţǎ apartness topology and the Scott topology coincide. Although we cannot expect a tight or cotransitive apartness on nontrivial dcpos, we prove that the intrinsic apartness is both tight and cotransitive when restricted to the sharp elements of a continuous dcpo. These include the strongly maximal elements, as studied by Smyth and Heckmann. We develop the theory of strongly maximal elements highlighting its connection to sharpness and the Lawson topology. Finally, we illustrate the intrinsic apartness, sharpness, and strong maximality by considering several natural examples of continuous dcpos: the Cantor and Baire domains, the partial Dedekind reals, the lower reals and, finally, an embedding of Cantor space into an exponential of lifted sets.
Experiences and perceived outcomes of a grocery gift card programme for households at risk of food insecurity
Authors: Lee Yun Yun , Caron-Roy Stéphanie , Turko Bobbi , Shearer Jane , Campbell David JT , Elliott Charlene , Barker Donald , Raine Kim D , Tyminski Sheila , Olstad Dana Lee 
Published: August 2023

AbstractObjective:This study explored programme recipients’ and deliverers’ experiences and perceived outcomes of accessing or facilitating a grocery gift card (GGC) programme from I Can for Kids (iCAN), a community-based programme that provides GGC to low-income families with children.Design:This qualitative descriptive study used Freedman et al’s framework of nutritious food access to guide data generation and analysis. Semi-structured interviews were conducted between August and November 2020. Data were analysed using directed content analysis with a deductive–inductive approach.Participants:Fifty-four participants were purposively recruited, including thirty-seven programme recipients who accessed iCAN’s GGC programme and seventeen programme deliverers who facilitated it.Setting:Calgary, Alberta, Canada.Results:Three themes were generated from the data. First, iCAN’s GGC programme promoted a sense of autonomy and dignity among programme recipients as they appreciated receiving financial support, the flexibility and convenience of using GGC, and the freedom to select foods they desired. Recipients perceived these benefits improved their social and emotional well-being. Second, recipients reported that the use of GGC improved their households’ dietary patterns and food skills. Third, both participant groups identified programmatic strengths and limitations.Conclusion:Programme recipients reported that iCAN’s GGC programme provided them with dignified access to nutritious food and improved their households’ finances, dietary patterns, and social and emotional well-being. Increasing the number of GGC provided to households on each occasion, establishing clear and consistent criteria for distributing GGC to recipients, and increasing potential donors’ awareness of iCAN’s GGC programme may augment the amount of support iCAN could provide to households.
GHOSTS AND CONGRUENCES FOR -APPROXIMATIONS OF HYPERGEOMETRIC PERIODS
Authors: VARCHENKO ALEXANDER , ZUDILIN WADIM 
Published: August 2023

AbstractWe prove general Dwork-type congruences for constant terms attached to tuples of Laurent polynomials. We apply this result to establishing arithmetic and p-adic analytic properties of functions originating from polynomial solutions modulo
$p^s$
of hypergeometric and Knizhnik–Zamolodchikov (KZ) equations, solutions which come as coefficients of master polynomials and whose coefficients are integers. As an application, we show that the simplest example of a p-adic KZ connection has an invariant line subbundle while its complex analog has no nontrivial subbundles due to the irreducibility of its monodromy representation.
The Stable Model Semantics of Datalog with Metric Temporal Operators
Authors: WAŁĘGA PRZEMYSŁAW A. , TENA CUCALA DAVID J. , CUENCA GRAU BERNARDO , KOSTYLEV EGOR V. 
Published: August 2023

AbstractWe introduce negation under the stable model semantics in DatalogMTL – a temporal extension of Datalog with metric temporal operators. As a result, we obtain a rule language which combines the power of answer set programming with the temporal dimension provided by metric operators. We show that, in this setting, reasoning becomes undecidable over the rational timeline, and decidable in
${{\rm E}{\small\rm XP}{\rm S}{\small\rm PACE}}$
in data complexity over the integer timeline. We also show that, if we restrict our attention to forward-propagating programs, reasoning over the integer timeline becomes
${{\rm PS}{\small\rm PACE}}$
-complete in data complexity, and hence, no harder than over positive programs; however, reasoning over the rational timeline in this fragment remains undecidable.
Reconstruction of Subaqueous Eruption‐Fed Current Characteristics and Source Location Using Anisotropy of Magnetic Susceptibility (AMS) at Otapahi, Dunedin Volcano, New Zealand
Authors: Baxter R. J. M. , White J. D. L. , Ohneiser C. , Brenna M. 
Published: August 2023

AbstractInformation about birth and early eruptions of composite volcanoes is scarce, but erosion has revealed very early deposits of the Dunedin Volcano, and we apply anisotropy of magnetic susceptibility (AMS) techniques to retrieve information about the earliest known, submarine, eruptive centre. Although AMS has been used to recover information from subaerial eruptions, and to examine turbidites, this is its first use in investigating depositional processes and the source location for submarine volcaniclastic deposits. AMS fabrics of the deposits, emplaced by submarine eruption‐fed density currents, show basal portions of the currents were decoupled from more‐buoyant upper parts. Triangulation of AMS vectors and orientations yields a vent site location, with some imprecision reflecting the chaotic nature of deposits rapidly aggraded within 500 m of the source vent. This method elucidates depositional processes of subaqueous volcanic currents as well as subaerial ones, while still yielding sufficient consistency for triangulation of flow source sites.
Unmixing of Magnetic Hysteresis Loops Through a Modified Gamma‐Cauchy Exponential Model
Authors: Bellon U. D. , Trindade R. I. F. , Williams W. 
Published: August 2023

AbstractQuantifying the contributions of distinct mineral populations in bulk magnetic experiments greatly enhances the analysis of environmental and rock magnetism studies. Here, we develop a new method of parametric unmixing of susceptibility components in hysteresis loops. Our approach is based on a modified Gamma‐Cauchy exponential model that accounts for variable skewness and kurtosis. The robustness of the model is tested with synthetic curves that examine the effects of noise, sampling, and proximity (similar coercivities) of susceptibility components. We provide a Python‐based script, the Hist‐unmix, which allows the user to adjust a forward model of up to three ferromagnetic components as well as a dia/paramagnetic contribution. Optimization of all the parameters is achieved through least squares fitting (Levenberg‐Marquardt method), with uncertainties of each inverted parameter calculated through a Monte Carlo error propagation approach. For each ferromagnetic component, it is possible to estimate the saturation magnetization (Ms), saturation remanent magnetization (Mrs) and the mean coercivity (). Finally, Hist‐unmix was applied to a set of weakly magnetic carbonate rocks from Brazil, which typically show distorted hysteresis loops (wasp‐waisted and potbellied). For these samples, we resolved two components with distinct coercivities. These results are corroborated by previous experimental data, showing that the lower branch of magnetic hysteresis can be modeled by the presented approach and might offer important mineralogical information for rock magnetic and paleomagnetic studies.
Inosine enhances tumor mitochondrial respiration by inducing Rag GTPases and nascent protein synthesis under nutrient starvation
Authors: Li Mei-Xin , Wu Xiao-Ting , Jing Wen-Qiang , Hou Wen-Kui , Hu Sheng , Yan Wei 
Published: August 2023

AbstractMetabolic heterogeneity of tumor microenvironment (TME) is a hallmark of cancer and a big barrier to cancer treatment. Cancer cells display diverse capacities to utilize alternative carbon sources, including nucleotides, under poor nutrient circumstances. However, whether and how purine, especially inosine, regulates mitochondrial metabolism to buffer nutrient starvation has not been well-defined yet. Here, we identify the induction of 5′-nucleotidase, cytosolic II (NT5C2) gene expression promotes inosine accumulation and maintains cancer cell survival in the nutrient-poor region. Inosine elevation further induces Rag GTPases abundance and mTORC1 signaling pathway by enhancing transcription factor SP1 level in the starved tumor. Besides, inosine supplementary stimulates the synthesis of nascent TCA cycle enzymes, including citrate synthesis (CS) and aconitase 1 (ACO1), to further enhance oxidative phosphorylation of breast cancer cells under glucose starvation, leading to the accumulation of iso-citric acid. Inhibition of the CS activity or knockdown of ACO1 blocks the rescue effect of inosine on cancer survival under starvation. Collectively, our finding highlights the vital signal role of inosine linking mitochondrial respiration and buffering starvation, beyond serving as direct energy carriers or building blocks for genetic code in TME, shedding light on future cancer treatment by targeting inosine metabolism.