bluuebunny/crossref_metadata_2025_split huggingface dataset:
“Some Handle It in Ways Others See as Insane:” College Individuals’ Meaning-Making about their Motivations for Severe Unwanted Pursuit Behaviors
Authors: Pierorazio Nicholas A. , Dardis Christina M. 
Published: July 2024

Abstract
Purpose
Post-relationship pursuit can range from normative to problematic, including stalking. While there are some theories and research about motivations for engaging in unwanted pursuit behaviors (UPBs), most lack the first-person perspectives of people who pursue. Little is known about the ways these individuals make sense of their behaviors and their related motivations. No qualitative studies have examined such meaning-making in non-forensic, young adult datasets.

Methods
In a larger survey study, 141 undergraduate students who endorsed a history of severe UPBs indicated their personal reasons for engaging in the UPBs. We used reflexive thematic analysis to analyze patterns across the dataset.

Results
Through our analytic co-creation of meaning, we conceptualized participants’ UPBs as located in narratives. Some participants understood their UPBs as instrumental ways to control their stories, using UPBs to grapple with (un)certainty or hold power over their former partner. Other participants understood their UPBs as powerlessly reactive in their story. A subset of participants denied ownership of their UPBs.

Conclusions
Severe UPBs are entwined in personal and social narratives, with people who pursue making sense of the behaviors as having diverse roles and motivations. Meaning-making about UPBs creates social narratives wherein people who pursue create complex realities, including being both victims and offenders, among others. Both personal and social interventions, such as psychotherapy and education respectively, are warranted for the prevention and treatment of severe UPBs. Future research should use more in-depth qualitative methods to understand pathways of UPBs and related processes.
Understanding Social Workers and Health Professionals’ Public Stigma against Women who Experience Intimate Partner Violence in Spain
Authors: Murvartian Lara , Saavedra-Macías Francisco Javier , de la Mata Manuel Luis , Crowe Allison 
Published: July 2024

Abstract
Purpose
Social workers and health professionals play a relevant role in the detection and intervention of intimate partner violence against women (IPVAW). However, these professionals may exert public stigma against IPVAW survivors, which prevents disclosure, help seeking and affects women’s health. There are no comprehensive models that explain stigma functioning in Spain. Our aim was to explore the functioning of such stigma that may be exercised by social workers and health professionals in Spain. Their perceived impact of stigma on survivors was also studied.

Methods
Interviews with 18 providers were conducted and analyzed through template analysis.

Results
The findings confirmed the presence of stigma and revealed that it was often unintentional. Factors about the Roots of stigma were identified (e.g., Privileged social identities or Symptom-focused role of psychology), which triggered several Myths about IPVAW and survivors (e.g., Broken toy or Survivor-profile) and Stigmatizing responses (e.g., Being paternalistic or Judging) when offering professional help. Several consequences of these myths and responses showed the perceived high Cost of stigma for survivors (e.g., Leaving support services or Internalizing stigma).

Conclusions
The results confirmed the importance of effective professional training to prevent stigmatizing myths and responses. Training should reduce professionals’ patriarchal values, increase their knowledge about IPVAW, self-reflection on how personal experiences and social identity influence their practice, and self-reflection on their own practice in general. Such training should also promote an intersectional perspective on recovery, a view of survivors as agents, a contextual approach, active listening, close contact with survivors, and informed care.
Investigation of Adsorption Optimization, Kinetic and Isotherm Behaviors of 60Co and 152+154Eu Radioisotopes from Nuclear Radioactive Wastewater onto a Novel Co0.5Ni0.5O–Co2Mo3O8–CuO–ZnO Perovskite Metal Oxides Nanosorbent
Authors: Allam Elhassan A. , Ghamry Mohamed A. , Gizawy Mohamed A. , El-Sharkawy Rehab M. , Mahmoud Mohamed E. 
Published: July 2024

AbstractHerein in this study, a new nanosorbent consisted of perovskite cobalt–nickel oxide Co0.5Ni0.5O and perovskite cobalt–molybdenum oxide Co2Mo3O8, copper oxide CuO, and zinc oxide ZnO, has been synthesized. The structural and morphological properties of the nanosorbent were established by using FT-IR, PXRD, TGA, HR-TEM, SEM, and EDX. The nanosorbent was implemented to adsorb 60Co and 152+154Eu radioactive isotopes under diverse conditions using different pH values, contact times, radioactive nuclides concentrations, and temperatures. The highest adsorption removal for both radionuclides was obtained at pH 6.0 as 83.65 and 122.50 mg/g for 60Co(II), and 152+154Eu(III), respectively. The adsorption models for 60Co(II) were fitted with Temkin only, on the other hand, the adsorption of 152+154Eu(III) was fitted with four adsorption models. The kinetics for 60Co(II) were fitted with the Pseudo first order (PFO), Pseudo second order (PSO), and Intraparticle models on the other hand 152+154Eu(III) were found to agree with the Pseudo first order (PFO) and intraparticle models.
The Evolution of Symbolic Thought: At the Intersection of Schizophrenia Psychopathology, Ethnoarchaeology, and Neuroscience
Authors: Tonna Matteo 
Published: July 2024

AbstractThe human capacity for symbolic representation arises, evolutionarily and developmentally, from the exploitation of a widespread sensorimotor network, along a fundamental continuity between embodied and symbolic modes of experience. In this regard, the fine balancing between constrained sensorimotor connections (responsible for self-embodiment processing) and more untethered neural associations (responsible for abstract and symbolic processing) is context dependent and plastically neuromodulated, thus intersubjectively constructed within a specific socio-cultural milieu. Instead, in the schizophrenia spectrum this system falls off catastrophically, due to an unbalance toward too unconstrained sensorimotor connectivity, leading to a profound distortion of self/world relation with a symbolic activity detached from its embodied ground. For this very reason, however, schizophrenia psychopathology may contribute to unveil, in a distorted or magnified way, ubiquitous structural features of human symbolic activity, beneath the various, historically determined cultural systems. In this respect, a comparative approach, linking psychopathology and ethnoarchaeology, allows highlight the following invariant formal characteristics of symbolic processing: (1) Emergence of salient perceptive fragments, which stand out from the perceptual field. (2) Spreading of a multiplicity of new significances with suspension of common-sense meaning. (3) Dynamic and passive character through which meaning proliferation is experienced. This study emphasizes the importance of fine-grained psychopathology to elucidate, within a cross-disciplinary framework, the evolutionarily and developmental pathways that shape the basic structures of human symbolization.
Status of truffle science and cultivation in North America
Authors: Coleman Mark D. , Berch Shannon , Bonito Gregory , Allen Brian , Andrews Ellie , Arechiga Carvajal Elva T. , Cook Stephen P. , D’Amours Cameron , Garibay-Orijel Roberto , Guevara Gonzalo , Hatzenbuehler Patrick , Hawkins Barbara , Heinse Robert , Kernaghan Gavin , Lefevre Charles , Lemmond Benjamin , Meadows Inga M. , Oneto Scott , Sharma Jyotsna , Strawn Daniel G. , Tanney Joey B. , Türkoğlu Aziz , Uehling Jessie , Winfree Jason , Smith Matthew E. 
Published: July 2024

Abstract
Background
Truffles are subterranean fungal fruiting bodies that are highly prized for their culinary value. Cultivation of truffles was pioneered in Europe and has been successfully adapted in temperate regions throughout the globe. Truffle orchards have been established in North America since the 1980s, and while some are productive, there are still many challenges that must be overcome to develop a viable North American truffle industry. These challenges include extended delays between establishment and production, comparatively low yields, high spatial heterogeneity in yield distribution, and orchard contamination with lower-value truffle fungi.

Aim
Here we review known requirements for truffle production including necessary environmental conditions, reproductive biology, and effective agronomic practices.

Content
We consider the potential limitations of importing exotic host-fungal associations into North America where there is already a rich community of competing ectomycorrhizal fungi, host pests and pathogens. We also describe the status of the North American truffle industry with respect to market potential, including production costs, pricing, and biological and socioeconomic risk factors. A critical aspect of modern trufficulture involves monitoring with genetic tools that supply information on identity, abundance and distribution of fungal symbionts, abundance of competitive and contaminating fungi, and insight into the interactions between fungal mating types that are fundamental to the formation of truffle primordia.

Implications
Cultivation of the ectomycorrhizal truffle symbiosis requires application of pragmatic agronomic practices, adopting rigorous quality control standards, and an understanding of fungal biology, microbiology, and molecular biology. Consequently, significant interdisciplinary collaboration is crucial to further develop the North American truffle industry.
Field validation of NDVI to identify crop phenological signatures
Authors: Bhatti Muhammad Tousif , Gilani Hammad , Ashraf Muhammad , Iqbal Muhammad Shahid , Munir Sarfraz 
Published: July 2024

Abstract
Purpose and Methods
Crop identification using remotely sensed imagery provides useful information to make management decisions about land use and crop health. This research used phonecams to acquire the Normalized Difference Vegetation Index (NDVI) of various crops for three crop seasons. NDVI time series from Sentinel (L121-L192) images was also acquired using Google Earth Engine (GEE) for the same period. The resolution of satellite data is low therefore gap filling and smoothening filters were applied to the time series data. The comparison of data from satellite images and phenocam provides useful insight into crop phenology. The results show that NDVI is generally underestimated when compared to phenocam data. The Savitzky-Golay (SG) and some other gap filling and smoothening methods are applied to NDVI time series based on satellite images. The smoothened NDVI curves are statistically compared with daily NDVI series based on phenocam images as a reference.

Results
The SG method has performed better than other methods like moving average. Furthermore, polynomial order has been found to be the most sensitive parameter in applying SG filter in GEE. Sentinel (L121-L192) image was used to identify wheat during the year 2022–2023 in Sargodha district where experimental fields were located. The Random Forest Machine Leaning algorithm was used in GEE as a classifier.

Conclusion
The classification accuracy has been found 97% using this algorithm which suggests its usefulness in applying to other areas with similar agro-climatic characteristics.
Proximity to Covid-19 Cases and Real Estate Equity Returns
Authors: Xie Lingshan , Milcheva Stanimira 
Published: July 2024

AbstractWe conduct a quasi-natural experiment for Hong Kong to explore the spatial effects associated with proximity to Covid-19 infections on real estate equity performance. During the first months of the pandemic, Hong Kong reported daily roadmaps of Covid-19 cases. We use these to match with the locations of properties held by real estate companies. Using a difference-in-differences spatial discontinuity model, we find that real estate firms which own a property within 0.1 miles from an infectious site are associated with 0.23% significantly lower daily returns one day after the news. We find evidence for spillover effects for up to two miles from the Covid-19 case, and more pronounced effects on small firms. The paper provides novel findings about the spatial effects of Covid-19 news on stock markets.
Identification of a multi-modal mechanism for Se(VI) reduction and Se(0) allotropic transition by Stenotrophomonas bentonitica
Authors: Ruiz-Fresneda Miguel Angel , Lazúen-López Guillermo , Pérez-Muelas Eduardo , Peña-Martín Jesús , Linares-Jiménez Raúl Eduardo , Newman-Portela Antonio Martín , Merroun Mohamed Larbi 
Published: July 2024

AbstractMicroorganisms can play a key role in selenium (Se) bioremediation and the fabrication of Se-based nanomaterials by reducing toxic forms (Se(VI) and Se(IV)) into Se(0). In recent years, omics have become a useful tool in understanding the metabolic pathways involved in the reduction process. This paper aims to elucidate the specific molecular mechanisms involved in Se(VI) reduction by the bacterium Stenotrophomonas bentonitica. Both cytoplasmic and membrane fractions were able to reduce Se(VI) to Se(0) nanoparticles (NPs) with different morphologies (nanospheres and nanorods) and allotropes (amorphous, monoclinic, and trigonal). Proteomic analyses indicated an adaptive response against Se(VI) through the alteration of several metabolic pathways including those related to energy acquisition, synthesis of proteins and nucleic acids, and transport systems. Whilst the thioredoxin system and the Painter reactions were identified to play a crucial role in Se reduction, flagellin may also be involved in the allotropic transformation of Se. These findings suggest a multi-modal reduction mechanism is involved, providing new insights for developing novel strategies in bioremediation and nanoparticle synthesis for the recovery of critical materials within the concept of circular economy.
Graphical Abstract
Urban Scaling Functions: Emission, Pollution and Health
Authors: La Porta Caterina A. M. , Zapperi Stefano 
Published: July 2024

AbstractUrban scaling is widely used to characterize the population dependence of city indicators including greenhouse gas emission. Here we analyze the population dependence of CO$$_2$$

2

and PM2.5 emissions and concentrations across all European cities. Our analysis reveals considerable variations in emissions among cities of comparable population size which are not captured by conventional urban scaling. We thus characterize these fluctuations by multi-parameter scaling functions and multifractal spectral analysis. We find that the distribution of emissions and population is multifractal while that of air pollution is not, leading to non-trivial relations between emission and pollution in some large cities. We also analyze the impact of forests in curbing emission and the impact of air pollution on health. Our work provides a detailed picture of the fluctuations in the scaling of urban metabolism in Europe and suggests a general strategy that goes beyond conventional urban scaling laws.
The pluralization palette: unveiling semantic clusters in English nominal pluralization through distributional semantics
Authors: Shafaei-Bajestan Elnaz , Moradipour-Tari Masoumeh , Uhrig Peter , Baayen R. Harald 
Published: July 2024

AbstractUsing distributional semantics, we show that English nominal pluralization exhibits semantic clusters. For instance, the change in semantic space from singulars to plurals differs depending on whether a word denotes, e.g., a fruit, or an animal. Languages with extensive noun classes such as Swahili and Kiowa distinguish between these kind of words in their morphology. In English, even though not marked morphologically, plural semantics actually also varies by semantic class. A semantically informed method, CosClassAvg, is introduced that is compared to two other methods, one implementing a fixed shift from singular to plural, and one creating plural vectors from singular vectors using a linear mapping (FRACSS). Compared to FRACSS, CosClassAvg predicted plural vectors that were more similar to the corpus-extracted plural vectors in terms of vector length, but somewhat less similar in terms of orientation. Both FRACSS and CosClassAvg outperform the method using a fixed shift vector to create plural vectors, which does not do justice to the intricacies of English plural semantics. A computational modeling study revealed that the observed difference between the plural semantics generated by these three methods carries over to how well a computational model of the listener can understand previously unencountered plural forms. Among all methods, CosClassAvg provides a good balance for the trade-off between productivity (being able to understand novel plural forms) and faithfulness to corpus-extracted plural vectors (i.e., understanding the particulars of the meaning of a given plural form).
Middle School Students' Conceptualizations and Reasoning about the Fairness of Math Tests
Authors: McCracken Morgan , Bostic Jonathan D. , Folger Timothy D. 
Published: July 2024

AbstractAssessment is central to teaching and learning, and recently there has been a substantive shift from paper-and-pencil assessments towards technology delivered assessments such as computer-adaptive tests. Fairness is an important aspect of the assessment process, including design, administration, test-score interpretation, and data utility. The Universal Design for Learning (UDL) guidelines can inform assessment development to promote fairness; however, it is not explicitly clear how UDL and fairness may be linked through students’ conceptualizations of assessment fairness. This phenomenological study explores how middle grades students conceptualize and reason about the fairness of mathematics tests, including paper-and-pencil and technology-delivered assessments. Findings indicate that (a) students conceptualize fairness through unique notions related to educational opportunities and (b) students’ reason about fairness non-linearly. Implications of this study have potential to inform test developers and users about aspects of test fairness, as well as educators data usage from fixed-form, paper-and-pencil tests, and computer-adaptive, technology-delivered tests.
Effects of Rapid Heat Treatments on the Properties of Cu2O Thin Films Deposited at Room Temperature Using an Ammonia-Free SILAR Technique
Authors: Trinidad-Urbina R. E. , Castanedo-Pérez R. , Torres-Delgado G. , Sánchez-Martínez A. , Ramírez-Bon R. 
Published: July 2024

AbstractWe report herein the analysis of the properties of copper(I) oxide thin films deposited by an optimized ammonium-free successive ion layer adsorption and reaction (SILAR) technique. The Cu2O thin film deposition process was carried out at room temperature using copper acetate monohydrate, sodium citrate as complexing agent, and hydrogen peroxide as precursors of copper and oxygen ions, respectively. The harmless and easy-to-handle sodium citrate replaces the volatile NH4OH commonly employed as complexing agent in the SILAR technique for the deposition of metal oxide thin films. The optical, structural, morphological, and electrical properties of the as-deposited Cu2O thin films were studied as a function of the number of cycles during deposition, as well as their modifications produced by the effect of rapid thermal annealing (RTA) in vacuum in a temperature range of 200–250°C for 1 min, 3 min, and 5 min. The as-deposited thin films had cubic crystalline structure corresponding to the Cu2O phase as determined by x-ray diffraction (XRD), with a direct energy bandgap of 2.43–2.51 eV depending on the number of cycles, and electrical resistivity of the order of 103 Ω cm. The XRD and x-ray photoelectron spectroscopy (XPS) analysis of the Cu2O thin films treated by RTA demonstrated an increase of the crystal size with time and temperature of the RTA and reduction effects from Cu2+ to Cu1+ oxidation states. On the other hand, the RTA treatments also decreased their energy bandgap to 2.38 eV and electrical resistivity to 102 Ω cm. The high energy bandgap values of the Cu2O thin films were attributed to quantum confinement effects produced by their small crystal size in the range of 3.6–8.6 nm.
Graphical Abstract
Exploring Multicomponent Phase Space to Discover New Materials
Authors: Cantor Brian 
Published: July 2024

AbstractMulticomponent phase space has been shown to consist of an enormous number of materials with different compositions, the vast majority of which have never been made or investigated, with great potential, therefore, for the discovery of exciting new materials with valuable properties. At the same time, however, the enormous size of multicomponent phase space makes it far from straightforward to identify suitable strategies for exploring the plethora of potential material compositions and difficult, therefore, to be successful in discovering desirable new materials. Unfortunately, all our knowhow and understanding has been developed for materials with relatively few components in relatively limited proportions, with most of our scientific theories relying essentially on linear assumptions of component dilution and independence that no longer apply in concentrated multicomponent materials. Trial and error, controlled substitution, parameterisation, thermodynamic modelling, atomistic modelling and machine learning techniques have all been employed as methods of exploring multicomponent phase space, with varying levels of success, but ultimately none of these techniques has proved capable of delivering consistent or guaranteed results. This paper provides an overview of the different techniques that have been used to explore multicomponent phase space, indicates their main advantages and disadvantages, and describes some of their successes and failures.
Improving Fructooligosaccharide Production via sacC Gene Deletion in Zymomonas mobilis: A Novel Approach for Enhanced Prebiotic Production
Authors: Braga Adelaide , Maia Ana Benedita , Gomes Daniela , Rodrigues Joana L. , Rainha João , Rodrigues Lígia R. 
Published: July 2024

AbstracFructooligosaccharides (FOS) are promising prebiotics in the relevant and increasing market of functional food. Industrially, these compounds are produced from sucrose by the action of fructosyltransferase or b-fructofuranosidase enzymes. However, this process often yields low conversion rates and results in impure mixtures due to the release of high levels of glucose. Zymomonas mobilis is a well-known ethanol-producing bacterium with native levansucrase enzymes able to convert sucrose into FOS. This study aimed to use synthetic biology tools to eliminate invertase (sacC) activity in Z. mobilis, reducing substrate competition and maximizing FOS production. Additionally, we explored the potential use of agro-industrial by-products, such as sugarcane molasses (M) and corn step liquor (CSL), as nutrients for FOS production using Z. mobilis in an in vivo bioprocess strategy. Invertase deletion from the Z. mobilis ZM4 genome was accomplished by homologous recombination of an engineered suicide plasmid. Using Z. mobilis sacC−, we observed a 70% reduction in monosaccharide production and a 9.0-fold increase in levan formation compared to the wild-type strain. Implementation of a fed-batch approach with CSL and molasses (CSLM) medium at flask-scale allowed to produce 41.9 g L−1 of FOS (0.25 gFOS gsucrose−1). To our knowledge, this work describes for the first time the production of FOS from agro-waste residues using a genetically modified Z. mobilis strain in a one-step fermentation. Through this innovative approach, we aim to contribute to the advancement of biotechnological strategies for prebiotic production, offering insights into genetic engineering techniques for improving the efficiency and sustainability of FOS synthesis in Z. mobilis.