bluuebunny/crossref_metadata_2025_split huggingface dataset:
Standorte der deutschen Musikindustrie in globalen Netzwerken der Musikproduktion
Authors: Marquardt Kai , Mager Christoph 
Published: February 2023

ZusammenfassungPopuläre Musik entsteht in komplexen Produktionsnetzwerken, in denen verschiedene Institutionen und hochspezialisierte Akteur:innen zusammenwirken. Als Orte, an denen diese Akteur:innen zusammenkommen, dienen Tonstudios als Zentren der musikalischen Kreativität. Virtuelle und physische Bewegungen zwischen Tonstudios verbinden Städte auf der ganzen Welt und bilden so urbane Netzwerke der Musikproduktion. Ziel dieses Beitrags ist die Identifizierung von Schlüsselstädten in Deutschland sowie eine Kartierung ihrer Position innerhalb der globalisierten Produktionsnetzwerke des deutschen Musikmarktes. Dazu verwenden wir einen Ansatz der sozialen Netzwerkanalyse, um relationale Muster zwischen Städten der Musikproduktion zu untersuchen. Datengrundlage sind Standorte von Tonstudios, die an der Produktion von Alben der deutschen Top 20 Charts beteiligt waren. Die resultierenden globalen Netzwerke werden identifiziert, visualisiert und analysiert. Das Ergebnis sind standortspezifische Produktionsnetzwerke der deutschen Musikindustrie mit unterschiedlichen geographischen Reichweiten und Vernetzungsgraden. Der Beitrag bietet damit systematische Anknüpfungspunkte für strategische Fragestellungen im Hinblick auf die Einbettung und Einzigartigkeit deutscher Städte in den globalisierten Netzwerken der Musikindustrie.
Early portfolio pruning: a scalable approach to hybrid portfolio selection
Authors: Gioia Daniele G. , Fior Jacopo , Cagliero Luca 
Published: January 2023

AbstractDriving the decisions of stock market investors is among the most challenging financial research problems. Markowitz’s approach to portfolio selection models stock profitability and risk level through a mean–variance model, which involves estimating a very large number of parameters. In addition to requiring considerable computational effort, this raises serious concerns about the reliability of the model in real-world scenarios. This paper presents a hybrid approach that combines itemset extraction with portfolio selection. We propose to adapt Markowitz’s model logic to deal with sets of candidate portfolios rather than with single stocks. We overcome some of the known issues of the Markovitz model as follows: (i) Complexity: we reduce the model complexity, in terms of parameter estimation, by studying the interactions among stocks within a shortlist of candidate stock portfolios previously selected by an itemset mining algorithm. (ii) Portfolio-level constraints: we not only perform stock-level selection, but also support the enforcement of arbitrary constraints at the portfolio level, including the properties of diversification and the fundamental indicators. (iii) Usability: we simplify the decision-maker’s work by proposing a decision support system that enables flexible use of domain knowledge and human-in-the-loop feedback. The experimental results, achieved on the US stock market, confirm the proposed approach’s flexibility, effectiveness, and scalability.
Defining an Affine Partition Algebra
Authors: Creedon Samuel , De Visscher Maud 
Published: February 2023

AbstractWe define an affine partition algebra by generators and relations and prove a variety of basic results regarding this new algebra analogous to those of other affine diagram algebras. In particular we show that it extends the Schur-Weyl duality between the symmetric group and the partition algebra. We also relate it to the affine partition category recently defined by J. Brundan and M. Vargas. Moreover, we show that this affine partition category is a full monoidal subcategory of the Heisenberg category.
Semantical Analysis of the Logic of Bunched Implications
Authors: Gheorghiu Alexander V. , Pym David J. 
Published: January 2023

AbstractWe give a novel approach to proving soundness and completeness for a logic (henceforth: the object-logic) that bypasses truth-in-a-model to work directly with validity. Instead of working with specific worlds in specific models, we reason with eigenworlds (i.e., generic representatives of worlds) in an arbitrary model. This reasoning is captured by a sequent calculus for ameta-logic (in this case, first-order classical logic) expressive enough to capture the semantics of the object-logic. Essentially, one has a calculus of validity for the object-logic. The method proceeds through the perspective of reductive logic (as opposed to the more traditional paradigm of deductive logic), using the space of reductions as a medium for showing the behavioural equivalence of reduction in the sequent calculus for the object-logic and in the validity calculus. Rather than study the technique in general, we illustrate it for the logic of Bunched Implications (BI), thus IPL and MILL (without negation) are also treated. Intuitively, BI is the free combination of intuitionistic propositional logic and multiplicative intuitionistic linear logic, which renders its meta-theory is quite complex. The literature on BI contains many similar, but ultimately different, algebraic structures and satisfaction relations that either capture only fragments of the logic (albeit large ones) or have complex clauses for certain connectives (e.g., Beth’s clause for disjunction instead of Kripke’s). It is this complexity that motivates us to use BI as a case-study for this approach to semantics.
The EU Interreg Project “GEREMIA” on waste management for the improvement of port waters: results on monitoring the health status of fish as bioindicator
Authors: Reboa Anna , Besio Giovanni , Cutroneo Laura , Geneselli Irene , Gorbi Stefania , Nardi Alessandro , Piccione Maria Elena , Regoli Francesco , Capello Marco 
Published: January 2023

AbstractHighly anthropized areas as ports represent complex scenarios that require accurate monitoring plans aimed to address the environmental status. In this context, the activities of the EU Interreg Project “GEstione dei REflui per il MIglioramento delle Acque portuali (GEREMIA)” were focused on comparing sites differently affected by human presence, as the Port of Genoa and the natural area of the S’Ena Arrubia fishpond: a panel of analyses was carried out on Mugilidae fish sampled in these two areas, aimed to address trace metal accumulation in the liver, gills, and muscle, as well as cytochrome P450 (CYP450) induction in liver and biliary polycyclic aromatic hydrocarbon (PAH) metabolites, and histopathological alterations in the liver and gills. Chemical analyses in the liver, gills, and muscle of specimens collected in the port area showed an overall higher degree of trace metal contamination compared to the natural fishpond, and similar results were obtained in terms of CYP450 induction and biliary PAH metabolites, suggesting a higher exposure to organic compounds. In addition, histopathological analyses revealed a significant alteration and then a loss of functionality of liver and gill tissue in individuals from the port. Overall, this study describes the complex environmental pollution scenario in the Port of Genoa, confirming the importance of using multidisciplinary approaches and different types of analyses to address both the presence and the effects of contaminants in marine environments.
Miniaturized Design of a 1 × 2 Plasmonic Demultiplexer Based on Metal–Insulator-Metal Waveguide for Telecommunication Wavelengths
Authors: Butt M. A. , Kazanskiy N. L. , Khonina S. N. 
Published: January 2023

AbstractIn this work, a numerical analysis of a compact 1 × 2 plasmonic demultiplexer based on a metal–insulator-metal (MIM) waveguide is presented. Two hollow circular cavities are side coupled to the bus waveguide on both sides. The cavities are designed in such a way that they resonate at the working wavelength of 1310 nm and 1550 nm. The mechanism of light coupling to an MIM waveguide has not been considered in previous studies. Therefore, a silicon tapered mode converter is integrated with a plasmonic demultiplexer for the efficient conversion of a dielectric to a plasmonic mode. The footprint of the device is 6 μm × 6 μm. The crosstalk at P1 and P2 is ~ 14.07 dB and ~ 13.67 dB for the transmission wavelength of 1310 nm and 1550 nm, respectively.
A leverage points perspective on Arctic Indigenous food systems research: a systematic review
Authors: Zimmermann Silja , Dermody Brian J. , Theunissen Bert , Wassen Martin J. , Divine Lauren M. , Padula Veronica M. , von Wehrden Henrik , Dorresteijn Ine 
Published: January 2023

AbstractArctic food systems are increasingly challenged by rapid climate change, loss of food security and subsequent weakening of food sovereignty, and destabilization of Indigenous practices. Despite growing scientific knowledge on Arctic food systems, Indigenous communities continue to struggle with a plethora of sustainability challenges. To develop a systemic understanding of these challenges, we performed a systematic review of 526 articles published between 1998 and 2021 on Arctic Indigenous food systems. We used the leverage points framework to structure our analysis to understand to what extent the existing Western scientific body of literature provides the necessary knowledge to understand the food system characteristics that give rise to the current sustainability challenges. We combined deductive qualitative and inductive quantitative approaches to identify gaps in the systemic understanding of Arctic Indigenous food systems. We characterized existing research across the four levels of systemic depth—parameters, feedbacks, design, intent—and identified promising directions for future research. Our analyses show that research on food systems is clustered within six main domains, we term environmental contaminants, diet and health, food security, food culture and economy, changing socio-ecological systems and marine and coast. Based on our analysis, we identify three directions for future research that we believe to be of particular importance to enable sustainability transformations of Arctic Indigenous food systems: (i) the decolonization of research practices, (ii) acknowledging the significance of systemic interdependencies across shallow and deep leverage points, and (iii) transdisciplinary action-oriented research collaborations directing transformative system interventions.
The Best Interests of The Child Self-Report (BIC-S): Psychometric Properties of the Adapted Version of the BIC-S used as a Monitoring Instrument to Measure the Quality of The Children’s Rearing Environment From a Children’s Rights Perspective
Authors: Zijlstra A. Elianne , Post Wendy J. , Hopman Marit , De Jong Alexandra , Kalverboer Margrite E. 
Published: January 2023

AbstractBackgroundIn line with the legal duty to monitor the compliance of policy and practice with the Convention on the Rights of the Child, the Netherlands’ Ombudsman for Children collects data concerning children’s views about their rearing environment and well-being. This Children’s Rights Monitor uses the Best Interests of the Child Self-Report (BIC-S). The psychometric properties of the BIC-S need to be further investigated.MethodFor the 2018 Children’s Rights Monitor, 1639 children (age:M = 12.05SD = 2.70) completed the BIC-S (quality of rearing environment) and value their life on a scale of 1 to 10 (well-being). Mokken Scale Analysis was applied to determine the construct validity, and a Pearson correlation coefficient between well-being and the quality of rearing environment was used to determine the convergent validity of the BIC-S.ResultsThe results of the Mokken Scale Analysis reveal an invariant, strong, and reliable family scale (H = 0.60; Rho = 0.88) and an invariant, moderate, and reliable society scale (H = 0.45; Rho = 0.81). Two conditions (safe wider physical environment and adequate examples in society) should be viewed as separate items. Strong and significant correlations are observed between well-being, on the one hand, and the family and society scales on the other (respectively, r = 0.54 and 0.63).ImplicationsResults of this study point to a reliable and valid BIC-S for measuring the quality of the rearing environment. This instrument can be used to bring policy, practice, and decision-making in line with Children’s Rights.
Comparison of two immunohistochemical staining protocols for ALK demonstrates non-inferiority of a 5A4 clone-based protocol versus an ALK01 clone-based protocol for the diagnosis of ALK + anaplastic large cell lymphoma
Authors: Fernandez-Pol Sebastian , Ferreira Cristiane R. , Manohar Vidhya , Sanches José Antonio , Lage Luis A. P. C. , Pereira Juliana , Zerbini Maria C. N. , Gratzinger Dita , Natkunam Yasodha 
Published: January 2023

AbstractDetection of ALK rearrangement and/or expression of the ALK protein is an essential component in the evaluation of many neoplasms. Variability has been reported in the ability of different antibody clones to detect ALK expression. The ALK01 clone is commonly used to detect ALK expression in ALK-positive anaplastic large cell lymphoma (ALK + ALCL). However, this clone has been shown to lack sensitivity when used for solid tumors. The aim of this study was to determine if our high-sensitivity 5A4-based immunohistochemistry protocol is non-inferior to our ALK01-based protocol for the detection of ALK expression in ALK + ALCL. To compare the two protocols, we stained tissue microarrays of 126 hematolymphoid neoplasms and an additional 21 primary cutaneous ALK-negative anaplastic large cell lymphomas with both protocols. All 28 ALK + ALCL samples that were positive for the ALK01 antibody were also positive for the 5A4 clone. Three cases on the tissue microarray that were negative with the ALK01 antibody were clearly positive with the 5A4 antibody. We subsequently stained whole tissue sections of these three cases with the ALK01 antibody and found that these three cases were indeed positive with the ALK01 protocol, suggesting that the absence of staining on the tissue microarray samples was due to a combination of sampling error as well as a dimmer signal with the ALK01 protocol. Our study demonstrates that our 5A4-based protocol is non-inferior to the ALK01 antibody for the diagnosis of ALK-positive anaplastic large cell lymphoma, thus allowing our laboratory to discontinue the use of the ALK01-based protocol.
Water supply to a mountain village (Drave, North Portugal): historical overview, current scenario, and future perspectives
Authors: Espinha Marques Jorge , Duarte Lia , Queirós Miguel , Melo Armindo , Mansilha Catarina 
Published: February 2023

AbstractThroughout the world, mountain populations have developed specific agroecosystems, with different types of water supply for irrigation and domestic use. The Drave mountain village (North Portugal) has, for centuries, faced harsh hydrological, hydrogeological, and hydropedological conditions. Since the second half of the twentieth century, the nature of water demand in Drave has drastically changed. The research objective is to understand the evolution of water demand and supply in the village of Drave, from the sixteenth century to the present day, and to present a possible solution to meet future water needs. A sampling network, comprising surface water and groundwater points, was established. Then, a sampling campaign took place in the dry season, and another one in the wet season. Laboratory analysis encompassed major inorganic ions, Potentially Toxic Elements, and microbiological parameters. Groundwater vulnerability to pollution was assessed through the DRASTIC index and GVTool, a Geographic Information System open-source application. Two historical periods were identified concerning the Drave water demand and supply: (i) from the foundation of the village until the second half of the twentieth century; (ii) from the mid-twentieth century on. The current scenario consists of using water resources with chemical and microbiological contamination to supply the needs of temporary inhabitants. Groundwater vulnerability to pollution ranges from extremely low to moderately low, with the most vulnerable areas corresponding to valley bottoms. A possible solution to meet the future water demand consists of abstracting and treating only surface water during the wet season and taking advantage of the hydrological regime of stream alluvial deposits during the dry season.
Machine learning to predict overall short-term mortality in cutaneous melanoma
Authors: Cozzolino C. , Buja A. , Rugge M. , Miatton A. , Zorzi M. , Vecchiato A. , Del Fiore P. , Tropea S. , Brazzale A. , Damiani G. , dall’Olmo L. , Rossi C. R. , Mocellin S. 
Published: January 2023

AbstractBackgroundCutaneous malignant melanoma (CMM) ranks among the ten most frequent malignancies, clinicopathological staging being of key importance to predict prognosis. Artificial intelligence (AI) has been recently applied to develop prognostically reliable staging systems for CMM. This study aims to provide a useful machine learning based tool to predict the overall CMM short-term survival.MethodsCMM records as collected at the Veneto Cancer Registry (RTV) and at the Veneto regional health service were considered. A univariate Cox regression validated the strength and direction of each independent variable with overall mortality. A range of machine learning models (Logistic Regression classifier, Support-Vector Machine, Random Forest, Gradient Boosting, and k-Nearest Neighbors) and a Deep Neural Network were then trained to predict the 3-years mortality probability. Five-fold cross-validation and Grid Search were performed to test the best data preprocessing procedures, features selection, and to optimize models hyperparameters. A final evaluation was carried out on a separate test set in terms of balanced accuracy, precision, recall and F1 score. The best model was deployed as online tool.ResultsThe univariate analysis confirmed the significant prognostic value of TNM staging. Adjunctive clinicopathological variables not included in the AJCC 8th melanoma staging system, i.e., sex, tumor site, histotype, growth phase, and age, were significantly linked to overall survival. Among the models, the Neural Network and the Random Forest models featured the best prognostic performance, achieving a balanced accuracy of 91% and 88%, respectively. According to the Gini importance score, age, T and M stages, mitotic count, and ulceration appeared to be the variables with the greatest impact on survival prediction.ConclusionsUsing data from patients with CMM, we developed an AI algorithm with high staging reliability, on top of which a web tool was implemented (unipd.link/melanomaprediction). Being essentially based on routinely recorded clinicopathological variables, it can already be implemented with minimal effort and further tested in the current clinical practice, an essential phase for validating the model’s accuracy beyond the original research context.
A prediction method for abrasion loss rate of some Egyptian carbonate rocks due to cyclic salt crystallization weathering using physico-mechanical deterioration: insights from laboratory investigations
Authors: Abdelhamid Marzouk Mohamed Aly , Mousa B. G. 
Published: February 2023

AbstractSalt crystallization is the most important weathering processes that causes problems for rocks used as building stones. Therefore, assessment of the physico-mechanical properties of stones against cyclic salt crystallization is a critical issue for rock engineering applications in salty environmental conditions especially prone to abrasion. This research aims at investigating the relationship between the degradation of various physico-mechanical properties including apparent porosity, point load index, unconfined compression strength and abrasion loss rate for rocks during salt weathering process. For showing rock weathering in the salt crystallization process, five kinds of carbonate rocks were sampled from different areas of Egypt and subject to cyclic salt crystallization, up to twenty cycles. The variation rates of their physico-mechanical characteristics and abrasion loss values were calculated after each five cycles of salt weathering. The results showed that the studied rocks are suitable for use as building and decorative stones in areas prone to crystallization of salts, but attention must be paid to rocks with high porosity and low strength characteristics such as El-Minia limestone specimens. It was also found that there are strong linear correlations between the physico-mechanical degradation parameters and the abrasion loss rate of the studied rock samples at the end of the twentieth cycle of salt weathering. These relationships may be used to estimate the abrasion loss rate of the studied rock types against the cyclic salt weathering conditions and hence to make a rapid evaluation of the stone durability.
A Fast-Converging Particle Swarm Optimization through Targeted, Position-Mutated, Elitism (PSO-TPME)
Authors: Shaqarin Tamir , Noack Bernd R. 
Published: January 2023

AbstractWe improve convergence speed by two orders of magnitude and the global exploration capabilities of particle swarm optimization (PSO) through targeted position-mutated elitism (TPME). The proposed fast-converging TPME operator requires a fitness-based classification technique to categorize the particles. The introduced classification is motivated by its simplicity, low memory requirements, and automated termination criteria based on convergence. The three key innovations address particle classification, elitism, and mutation in the cognitive and social model. PSO-TPME is benchmarked against five popular PSO variants for multi-dimensional functions, which are extensively adopted in the optimization field, In particular, the convergence accuracy, convergence speed, and the capability to find global minima are investigated. The statistical error is assessed by numerous repetitions. The simulations confirmed that in ten of the thirteen investigated functions, the proposed PSO variant outperforms other variants in terms of convergence rate and accuracy by at least two orders of magnitude. On the other hand, the simulations demonstrated the early exploration capabilities of PSO-TPME in all tested functions. In the first ten iterations, PSO-TPME outperformed all the investigated PSO variants by at least two orders of magnitude.
Criminology and Massive Violation of Human Rights: The Case of Terrorism and Genocide
Authors: Slimani Amina 
Published: February 2023

AbstractThe criminological dimension of crime generally does not arouse great enthusiasm from researchers in Arab countries, unlike Anglo-Saxon- or French-speaking countries. Admittedly, Western criminology is more advanced, but it is more interested in common crimes than in mass crimes such as crimes against humanity, genocide, human trafficking or terrorism. However, the rare existing studies reveal the emergence of a criminology of massive human rights violations and expose some particularities of this criminal phenomenon. These include the often transnational nature of the crimes, the geographical, socio-economic and political disparity of criminals, the high number of victims, and more. The relationship between criminal law, criminology and human rights should be examined to determine the complementarity of the law and the empirical criminal sciences in crime prevention.
On the Hilbert scheme of the moduli space of torsion-free sheaves on surfaces
Authors: Mata-Gutiérrez O. , Roa-Leguizamón L. , Torres-López H. 
Published: February 2023

AbstractThe aim of this paper is to determine a bound of the dimension of an irreducible component of the Hilbert scheme of the moduli space of torsion-free sheaves on surfaces. Let X be a nonsingular irreducible complex surface, and let E be a vector bundle of rank n on X. We use the m-elementary transformation of E at a point
$x \in X$
to show that there exists an embedding from the Grassmannian variety
$\mathbb{G}(E_x,m)$
into the moduli space of torsion-free sheaves
$\mathfrak{M}_{X,H}(n;\,c_1,c_2+m)$
which induces an injective morphism from
$X \times M_{X,H}(n;\,c_1,c_2)$
to
$Hilb_{\, \mathfrak{M}_{X,H}(n;\,c_1,c_2+m)}$
.