bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinimetrics of the Italian version of the Montreal Cognitive Assessment (MoCA) in adult-onset idiopathic focal dystonia
Authors: D’Iorio Alfonsina , Aiello Edoardo Nicolò , Trinchillo Assunta , Silani Vincenzo , Ticozzi Nicola , Ciammola Andrea , Poletti Barbara , Esposito Marcello , Santangelo Gabriella 
Published: June 2023

AbstractThis study aimed at assessing the clinimetrics of the Montreal Cognitive Assessment (MoCA) in an Italian cohort of patients with adult-onset idiopathic focal dystonia (AOIFD). N = 86 AOIFD patients and N = 92 healthy controls (HCs) were administered the MoCA. Patients further underwent the Trail-Making Test (TMT) and Babcock Memory Test (BMT), being also screened via the Beck Depression Inventory-II (BDI-II) and the Dimensional Apathy Scale (DAS). Factorial structure and internal consistency were assessed. Construct validity was tested against TMT, BMT, BDI-II and DAS scores, whilst diagnostics against the co-occurrence of a defective performance on at least one TMT measure and on the BMT. Case–control discrimination was examined. The association between MoCA scores and motor-functional measures was explored. The MoCA was underpinned by a mono-component structure and acceptably reliable at an internal level. It converged towards TMT and BMT scores, as well as with the DAS, whilst diverging from the BDI-II. Its adjusted scores accurately detected cognitive impairment (AUC = .86) at a cut-off of < 17.212. The MoCA discriminated patients from HCs (p < .001). Finally, it was unrelated to disease duration and severity, as well as to motor phenotypes. The Italian MoCA is a valid, diagnostically sound and feasible cognitive screener in AOIFD patients.
Drug-related catatonia in youths: real-world insights from the WHO Safety Database
Authors: Merino Diane , Gérard Alexandre O. , Lavrut Thibaud , Askenazy Florence , Thümmler Susanne , Montastruc François , Drici Milou-Daniel 
Published: June 2023

AbstractCatatonia is characterized by psychomotor alterations and reduced contact with the environment. Initially linked to schizophrenia, it also occurs in mood disorders or organic conditions. In children, catatonia remains poorly delineated, despite dramatically increasing the risk of premature death. As data on pediatric drug-induced catatonia bears many uncertainties, we aimed to characterize its age-dependent patterns, using real-world data from the WHO safety database (VigiBase®).VigiBase® was queried for all reports of catatonia registered up to December 8th 2022. Reports involving patients <18 years were classified into 3 groups: ≤23 months, 2–11 years, and 12–17 years. Disproportionality analyses relied on the Reporting Odds Ratio (ROR), and the positivity of the lower end of the 95% confidence interval of the Information Component (IC) was required to suspect a signal. Catatonia was evoked in 421 pediatric reports. In infants, vaccines were leading. In children, the main signals involved haloperidol (ROR 104.3; 95% CI 45.6–238.5), ondansetron (ROR 40.5; 95% CI 16.5–99.5), and ciclosporin (ROR 27.4; 95% CI 13.8–54.1). In adolescents, chlorpromazine (ROR 199.1; 95% CI 134.8–294.1), benzatropine (ROR 193; 95% CI 104.1–361.6), and olanzapine (ROR 135.7; 95% CI 104.6–175.9) reached the highest RORs. In infants, catatonia was related to vaccines, it was ascribed to multiple drugs in children, and mainly to psychotropic drugs in adolescents. Less suspected drugs, such as ondansetron, were highlighted. Despite limitations inherent in spontaneous reporting systems, this study supports that a careful anamnesis is warranted to separate catatonia associated with medical conditions from drug-induced catatonia in pediatric patients.
Effects of macro-scale heterogeneity on the kinetic interface-sensitive tracer test for measuring the fluid–fluid interfacial area in dynamic two-phase flow in porous media
Authors: Tatomir A. , Gao H. , Abdullah H. , Sauter M. 
Published: June 2023

AbstractA novel reactive smart tracer method, termed the kinetic interface-sensitive (KIS) tracer test, has been demonstrated in laboratory column experiments to enable measurement of the specific capillary-associated fluid–fluid interfacial area in dynamic two-phase flow displacement processes in porous media. Development of the tracer method towards effective application in real field conditions requires investigation of the influence of the porous media heterogeneity on the front size and the specific interfacial area, and, consequently, in how far a kinetic interface-sensitive tracer experiment, and the corresponding breakthrough curves, are affected. This study employs a two-dimensional Darcy-scale two-phase flow reactive transport model to investigate numerically the KIS tracer transport in heterogeneous porous media. Simulations were carried out for the primary drainage process in a domain formed of fine and coarse porous media. Various heterogeneity patterns, having different numbers of inclusions and different geometrical distributions, were studied. It is shown that the shape of the breakthrough curves can be used as an indicator for quantifying the displacement front roughness, the specific interfacial area in the domain, and the domain heterogeneity, e.g., the existence of preferential flow pathways inside the porous media. The results indicate that when the displacement front roughness is small, the concentration breakthrough curves exhibit a linear increase. The slopes of the breakthrough curves linearly depend on the fraction of the bulk volume occupied by the low-permeability sand inclusions. The volume-averaged specific interfacial area and the size of the transition zone can be determined from the slopes of the breakthrough curves.
Freshwater mussel meal as new alternative ingredient for rainbow trout (Oncorhynchus mykiss) feeds: growth performance and histomorphological analyses
Authors: Sicuro B. , Castelar B. , Bergamino C. , Mioletti S. , Squadrone S. , Griglione A. , Falzone M. , Colombino E. , Capucchio M. T. 
Published: June 2023

AbstractAlternative raw materials unsuitable for human consumption might represent a great interest in animal nutrition. Freshwater bivalves represent an unexploited potential feed resource. The effects of freshwater mussel Sinanodonta woodiana meal on growth performance, histomorphology, and morphometric characteristics of the digestive system of rainbow trout (Oncorhynchus mykiss) were evaluated. A total of 540 rainbow trout juveniles were fed with three experimental diets consisting of fish meal (FM), fish by-product meal (FPM), and freshwater mussel meal (MM). After 90 days, the fish tripled their initial weight, despite fish fed with MM showed lower weight gain, specific growth rates, and higher feed conversion ratio than those fed with control diets. It has been estimated that the total production period of fish fed with the MM diet was 12–14 days longer than fish fed with FPM and FM, respectively, due to lower growth rates. Histological and morphometrical analyses did not reveal any diet influence on the severity of the observed lesions both in the gut and liver. No negative effects were observed with the inclusion of the MM; therefore, the use of this ingredient could be considered for rainbow trout feeding.
Leading the digitalisation process in K–12 schools – The school leaders’ perspective
Authors: Reis-Andersson Jussara 
Published: June 2023

AbstractDigital technologies have increased worldwide in the last years. In addition, the pandemic has strengthened digital technologies’ roles in education, requiring twenty-first-century skills, such as digital competence, and indicating a new normal. Digitalisation in education creates opportunities that could lead to positive effects if digital technologies are applied correctly. However, applying digital technologies can incorrectly trigger a negative development – for example, increasing workload due to nonfriendly user interfaces in software and reducing the motivation to apply digital technologies in education due to a lack of digital competence. Teachers require access to digital technologies and digital competence related to educational issues that influence equality within and among K–12 schools, thus making school leaders’ roles crucial in digitalising education. Three group interviews and a survey were used to collect the data in a network of three municipalities in Sweden. The data have been categorised and analysed with thematic analysis. The results show that school leaders describe the digitalisation process in the form of digital competence for teachers, access to hardware and software, and a shared culture. School leaders explain that clear guidelines, collaboration between teachers, and enough time enable digitalisation in education. However, the lack of support and the lack of resources constrain digitalisation in education. At the same time, school leaders do not often discuss their own digital competence. The school leaders’ roles in the digitalisation of K–12 schools are important, requiring digital competence for leading the digitalisation process.
The Behavior of Passive Fire Protection Materials Used for Fire Protection of Steel Structures in Standard, Hydrocarbon, and Jet Fire Exposure
Authors: Garg Kapil , Singh Suvir , Rokade Mahadev , Singh Shubham 
Published: June 2023

AbstractStructural steel, when exposed to fire, loses its tensile strength and ability to resist deformation. Both organic and inorganic material-based passive fire protection systems, are being traditionally used to protect steel structures in such scenarios. This study focused on comparing the performance of the same organic and inorganic coatings in standard fire, hydrocarbon fire, and jet fire conditions. Standard, hydrocarbon fire, and jet fire experiments were carried out in full-scale fire resistance furnaces as per ASTM E-119, UL 1709, and ISO 22899-1 respectively. From the results, it was observed that both organic and inorganic materials tend to underperform in jet fire scenarios, when compared with standard and hydrocarbon fire due to the impingement/turbulence effect and the thermo-mechanical effect caused by the velocity of the gas.
Right-angled Coxeter groups with totally disconnected Morse boundaries
Authors: Karrer Annette 
Published: June 2023

AbstractThis paper introduces a new class of right-angled Coxeter groups with totally disconnected Morse boundaries. We construct this class recursively by examining how the Morse boundary of a right-angled Coxeter group changes if we glue a graph to its defining graph. More generally, we present a method to construct amalgamated free products of CAT(0) groups with totally disconnected Morse boundaries that act geometrically on CAT(0) spaces that have a treelike block decomposition. We deduce a new proof for the result of Charney-Cordes-Sisto (Complete topological descriptions of certain Morse boundaries, Groups Geom. Dyn. 17(1),157–184 (2023)) that every right-angled Artin group has totally disconnected Morse boundary, and discuss concrete examples of surface amalgams studied by Ben-Zvi (Boundaries of groups with isolated flats are path connected. arXiv:1909.12360, 2019).
Conspiracy Narratives as a Type of Social Myth
Authors: Chlup Radek 
Published: June 2023

AbstractIt has long been recognized that conspiracy narratives may be seen as a special kind of myth. In most cases, however, this is taken as a sign of their irrational and unsubstantiated nature. I argue that mythical modes of reasoning are actually far more pervasive in modern political and cultural discourse than we commonly admit and that the difference between mainstream discourse and conspiracy narratives is not one between “rational” and “mythical” thought but rather one between different types of mythical thinking. The specific nature of conspiracy myths is best understood in relation to two other types of social myths: political myths and fictional myths. Conspiracy myths are a hybrid of these two genres: like fictional myths, they make use of imaginative elements, but like political myths, they are understood as having a relatively straightforward relation to reality and not just a metaphorical one. They are essentially anti-systemic, and their chief ethos is that of distrust. Nevertheless, the degree to which they reject the system varies, and it is thus useful to distinguish between weaker and stronger conspiracy myths. While the latter reject the system altogether and are incompatible with political myths, the former are capable of co-operating with them.
Temporal lobe evolution in extant and extinct Cercopithecoidea
Authors: Pearson Alannah , Polly P. David 
Published: June 2023

AbstractChanges to the environmental landscapes from the Eocene to Holocene have influenced the evolution of Cercopithecoidea from arboreal origins in wet, forested regions in the Early Oligocene Fayum to semi-terrestrial lifestyles in drier Neogene landscapes and social systems of larger group living. These eco-behavioural transitions likely accompanied changes in behaviour, brain function, and associated skull morphology. The temporal lobe of the brain, an association cortex, is in close proximity to the middle cranial fossa (MCF) allowing prediction of temporal lobe volume (TLV) and investigation of cerebral reorganisation. We used micro-computed tomography (µCT) cranial scans (n = 135) generated into 3D virtual crania with seven MCF metrics predicting TLV from a multiple regression of 11 extant anthropoid taxa. We studied eight extinct taxa Proteopithecus sylviae and Catopithecus browni from the Late Eocene, Early Oligocene Apidium phiomense, Parapithecus grangeri and Aegyptopithecus zeuxis, Middle Miocene Victoriapithecus macinnesi, Pliocene Dinopithecus ingens, Pleistocene Papio angusticeps, and extant cercopithecines Cercocebus atys, Macaca mulatta and Papio anubis. PGLS regressions examined relative TLV to brain size between extinct and extant taxa. We tested differences in slopes and intercepts between extinct and extant cercopithecoids with statistically significant differences in slopes but not the intercepts, with stem-anthropoids having relative smaller TLV for brain size compared to extant cercopithecoids. Potential drivers for temporal lobe evolution include paleoenvironmental shifts from Eocene tropical rainforests to Plio-Pleistocene savannas. Socio-behavioural implications include change from arboreal to semi-terrestrial lifestyles, higher visual acuity, larger group sizes and greater cognitive complexity.
Conversations with God: How Are Religion and Spirituality Used to Make Sense of Forgiveness?
Authors: Haikola Anne 
Published: June 2023

AbstractForgiveness has a connection to religion and spirituality. Yet, little is known about how religious and spiritual people actually forgive. The present study investigated how religion and spirituality are used to make sense of forgiveness. The narratives of seven interviewees were chosen for close analysis of their experiences of forgiveness. McAdams’s life story interview method and narrative analysis were applied. Five themes were formulated: (1) forgiveness as Christian duty, (2) forgiveness as God’s miracle, (3) forgiveness through praying, (4) forgiveness through God’s sacrifice, and (5) forgiveness as God’s mercy. The findings indicate that God was important to the interviewees and supported their forgiveness process. Subthemes of revenge and justice suggest that sometimes forgiveness and revenge motives may be intertwined. Forgiveness was a divine process for the participants, and some felt that they would not have been able to forgive without God. Attributing forgiveness to God may serve the forgiveness process.
Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany
Authors: Donat Marco , Geistert Jonas , Grahmann Kathrin , Bellingrath-Kimura Sonoko D. 
Published: June 2023

AbstractPath planning for optimized field-work pattern is an important task within precision farming. The decision on a particular direction and path to cultivate and manage the field is complex and can significantly affect working time, energy consumption, soil compaction and yield. This study proposed a new method for automated detection of the current cultivation direction of several thousands of agricultural fields and compared the current cultivation direction with an optimized cultivation direction generated from a path planning algorithm. Airborne imagery from 2019 was analyzed using a modified Gabor filter. The identification takes place on a sub-plot level and can therefore detect small-scale differences in cultivation direction within fields. The method for identification of current cultivation direction had a high success rate of 87.5%. Fields with a high potential to save turning maneuvers and to reduce the area of headland were identified. From 3410 fields, a total of 58162 turning maneuvers and 507 ha headland were saved. This corresponds to 14.1% of all turning maneuvers and 7.6% of the total headland area for all analyzed fields in Brandenburg. A high optimization potential was demonstrated for field paths when efficient processing directions are taken into account. The method can be extended to the analysis of satellite imagery and thus offers the possibility of identifying current cultivation directions with a high spatial and temporal resolution. In future, this knowledge can be embedded within decision support systems for real-time optimization of field machinery path planning to support sustainable cropping practices.
Harnessing data science to improve molecular structure elucidation from tandem mass spectrometry
Authors: Harris E. , Gasser Lilian , Volpi M. , Perez-Cruz F. , Bjelić Saša , Obozinski G. 
Published: June 2023

AbstractCompound structural identification for non-targeted screening of organic molecules in complex mixtures is commonly carried out using liquid chromatography coupled to tandem mass spectrometry (UHPLC-HRMS/MS and related techniques). Instrumental developments in recent years have increased the quality and quantity of data available; however, using current data analysis methods, structures can be assigned to only a small fraction of compounds present in typical mixtures. We present a new data analysis pipeline, “MSEI”, that harnesses data science methodologies to improve structural identification capabilities from tandem mass spectrometry data. In particular, feature vectors for fingerprint calculation are found directly from tandem mass spectra, strongly reducing computational costs, and fingerprint comparison uses an optimised methodology accounting for uncertainty to improve distinction between matching and non-matching compounds. MSEI builds on the identification of a small number of compounds through current state-of-the-art data analysis on UHPLC-HRMS/MS measurements and uses targeted training and tailored molecular fingerprints to focus identification to a particular molecular space of interest. Initial compound identifications are used as training data for a set of random forests which directly predict a custom 75-digit molecular fingerprint from a vectorised MS/MS spectrum. Kendrick mass defects (KMDs) for peaks as well as “lost” fragments removed during fragmentation were found to be useful information for fingerprint prediction. Fingerprints are then compared to potential matches from the PubChem structural database using Euclidean distance, with fingerprint digit weights determined using an SVM to maximise distance between matching and non-matching compounds. Potential matches are additionally filtered for hydrophobicity based on measured retention time, using a newly developed machine learning method for retention time prediction. MSEI was able to correctly assign > 50% of structures in a test dataset and showed > 10% better performance than current state-of-the-art methods, while using an order of magnitude less computational power and a fraction of the training data.
The Cu–Sn System: A Comprehensive Review of the Crystal Structures of its Stable and Metastable Phases
Authors: Leineweber Andreas 
Published: June 2023

AbstractThe present works assesses the knowledge concerning the crystal structures of phases in the Cu–Sn system having their high relevance due to their occurrence in bronze alloys and soldered systems. The crystal structures of the terminal solid solution phases α-Cu and β-Sn and of the stable main intermediate phases β, γ, ε-Cu3Sn, δ-Cu41Sn11, ζ-Cu10Sn3, η-Cu6Sn5 and η′-Cu6Sn5 and some metastable phases appear to be well established in the literature, but details can be intriguing. This paper attempts to review apparently or truly contradictory structure models derived from experimental diffraction data for the different phases, revealing limiting knowledge in some cases. These results are also analyzed regarding the results of first-principles calculations making use of various model structures. The review is also used to highlight exemplarily problems, which can be experienced upon widespread, “routine” means of phase identification, in particular x-ray diffraction (on polycrystalline specimens) and electron backscatter diffraction.
Comparative study of interaction energies between αIIbβ3 integrin and the peptidic, peptidomimetic and non-peptidic ligands by quantum mechanics FMO-PIEDA calculations
Authors: Kóňa Juraj 
Published: June 2023

AbstractIntegrins belong to a family of cell adhesion receptors. To better understand an adhesion mechanism of integrins, fragmented molecular orbital (FMO) method with pair interaction energy decomposition analysis (PIEDA) was applied for integrin:ligand complexes. Interaction energies were evaluated between the amino acid residues including Mg2+ and Ca2+ ions at ligand-binding site of αIIbβ3 integrin and two peptide chains with the Ala-Gly-Asp (AGD)- and the Arg-Gly-Asp (RGD)-binding motifs, a cyclic peptide (eptifibatide), peptidomimetic ligands (tirofiban and L-739758) and poly(l-lactic acid) chain (PLA). The results indicate that Mg2+ and Ca2+ ions together with Asp224A, Asn215B, Asp159A and Lys125B of αIIbβ3 are the most important residues for a binding of the peptidic ligands while for the peptidomimetic ligands and PLA, interactions with Ca2+ ions are less significant than those with amino acid residues of αIIbβ3. For all complexes, a dominant part of interaction energy comes from electrostatic interactions. New developed antagonists of αIIbβ3 should mimic not only the interactions of the RGD motif but also the interactions of the backbone of a longer peptidic sequence (RGDV or AGDV) with the focus on the interactions of the antagonists with the ADMIDAS Ca2+ ion. An interaction pattern predicted for PLA was compared with the native peptidic ligands.