bluuebunny/crossref_metadata_2025_split huggingface dataset:
Child- and Parent-Report Measures of Behavioral Avoidance (CAMS/CAMP): Portuguese Validation in Clinical and Non-Clinical Samples
Authors: Caiado Brígida , Canavarro Maria Cristina , Pereira Ana Isabel , Moreira Helena 
Published: November 2023

Abstract
Objective
Behavioral avoidance is a core component in the understanding and treatment of emotional disorders. The Child Avoidance Measure–Self Report (CAMS) and Child Avoidance Measure–Parent Report (CAMP) are two 8-item measures that assess a child’s behavioral avoidance from the child’s and parent´s perspectives, respectively. The present study aimed to analyze the factor structure and psychometric properties of the CAMS and CAMP in clinical and nonclinical samples of Portuguese school-aged children and their parents.

Methods
The clinical sample included 172 parent–child dyads (children: aged 6–13 years; parents: 89% mothers) in which the child had a primary diagnosis of an anxiety or anxiety-related disorder. The nonclinical sample included independent subsamples of 288 children (aged 8–13 years) and 210 parents (93.3% mothers). In both samples, participants completed the CAMS and CAMP; the clinical sample additionally completed a self-report questionnaire assessing anxiety symptoms.

Results
A one-factor structure of the CAMS and CAMP was confirmed in both samples using confirmatory factor analysis. The CAMS and CAMP presented good internal consistency in clinical and nonclinical samples. The convergent validity of the scales was supported by significant correlations with each other and with a measure of anxiety symptomatology. Furthermore, both scales could distinguish between clinical and nonclinical participants. In the clinical sample, the scales demonstrated sensitivity to changes in response to exposure-focused CBT.

Conclusions
The CAMS and CAMP have adequate psychometric properties and provide a multi-informant assessment of children’s behavioral avoidance in clinical and nonclinical samples.
Thermodynamic feasibility and multiobjective optimization of a closed Brayton cycle-based clean cogeneration system
Authors: Rad Ehsan Amiri , Tayyeban Edris , Assareh Ehsanolah , riaz Amjad , Hoseinzadeh Siamak , Lee Moonyong 
Published: November 2023

AbstractThe present research has analyzed the energy and exergy of a combined system of simultaneous power generation and cooling. To provide a comprehensive data sheet of this system, the system has been investigated in the temperature range of 300–800 °C, and 6 working fluids, including air, carbon dioxide, nitrogen, argon, xenon, and helium, have been investigated. The parameters affecting the performance of the system, namely the compressor inlet pressure, the compressor pressure ratio, and the intermediation pressure ratio were investigated. The power produced by the Brayton cycle at a pressure ratio of 5.2 is the highest due to the increase in compressor power consumption and turbine power generation. The results of the parametric study showed that the exergy efficiency of the system has the maximum value at the pressure ratio of 4.73. The results of the parametric study showed that increasing the pressure of the compressor does not have a significant effect on the electricity consumption and the temperature of the working fluid due to the constant pressure ratio. The input energy to the heat exchanger of the absorption chiller decreases with the increase in the Brayton cycle pressure ratio, and as a result, the cooling created by the chiller also decreases. In this method, three objective functions of exergy efficiency, energy efficiency, and total production power are considered as objective functions. The most optimal value of intermediation pressure ratio was obtained after the optimization process of 1.389. Also, the most optimal value of the pressure ratio of high-pressure and low-pressure turbines was reported as 2.563 and 1.845, respectively.
Long-term maintenance optimization for integrated mining operations
Authors: Yang Yingying , Loxton Ryan , Rohl Andrew L. , Bui Hoa T. 
Published: November 2023

AbstractMaintenance activities are inevitable and costly in integrated mining operations. Conducting maintenance may require the whole system, or sub-units of the system, to be shut down temporarily. These maintenance activities not only disrupt the unit being shut down, but they also have consequences for inventory levels and product flow downstream. In this paper, we consider an interconnected mining system in which there are complicated maintenance relationships and stock accumulation at intermediate nodes. We propose a time-indexed mixed-integer linear programming formulation to optimize the long-term integrated maintenance plan and maximize the total throughput. We also devise an algorithm, which combines Benders decomposition and Lagrangian relaxation, to accelerate the computational speed. To validate our mathematical model, we perform simulations for a real-world case study in the iron ore industry. The results show that our method can yield better solutions than optimization solver alone in faster time.
Why generative AI can make creative destruction more creative but less destructive
Authors: Norbäck Pehr-Johan , Persson Lars 
Published: November 2023

AbstractThe application of machine learning (ML) to operational data is becoming increasingly important with the rapid development of artificial intelligence (AI). We propose a model where incumbents have an initial advantage in ML technology and access to (historical) operational data. We show that the increased application of ML for operational data raises entrepreneurial barriers that make the creative destruction process less destructive (less business stealing) if entrepreneurs have only limited access to the incumbent’s data. However, this situation induces entrepreneurs to take on more risk and to be more creative. Policies making data generally available may therefore be suboptimal. A complementary policy is one that supports entrepreneurs’ access to ML, such as open source initiatives, since doing so would stimulate creative entrepreneurship.
Keyword-labeled self-admitted technical debt and static code analysis have significant relationship but limited overlap
Authors: Rantala Leevi , Mäntylä Mika , Lenarduzzi Valentina 
Published: November 2023

AbstractTechnical debt presents sub-optimal choices made in development, which are beneficial in the short term but not in the long run. Consciously admitted debt, which is marked with a keyword, e.g., TODO, is called keyword-labeled self-admitted technical debt (KL-SATD). KL-SATD can lead to adverse effects in software development, e.g., to a rise in complexity within the developed software. We investigated the relationship between KL-SATD from source code comments and reports from the highly popular industrial program analysis tool SonarQube. The goal was to find which SonarQube metrics and issues are related to KL-SATD introduction and removal and how many KL-SATD in the context of an issue addresses that issue. We performed a study with 33 software repositories. We analyzed the changes in SonarQube reports (sqale index, reliability and security remediation metrics, and SonarQube issues) and the relationship to KL-SATD addition and removal with mixed model analysis. We manually annotated a sample to investigate how many KL-SATD comments are in the context of SonarQube issues and how many address them directly. KL-SATD is associated with a reduction in code maintainability measured with SonarQube’s sqale index. KL-SATD removal is associated with an increase in code maintainability (sqale index) and reliability measured with SonarQube’s reliability remediation effort. The introduction and removal of KL-SATD have a predominantly relationship with code smells, and not with vulnerabilities and bugs. Manual annotation revealed that 36% of KL-SATD comments are in the context of a SonarQube issue, but only 15% of the comment address an issue. This means that despite of statistical relationship between KL-SATD comments and SonarQube reports there is a large set of KL-SATD comments that are in areas that Sonarqube reports as clean or free of maintainability issues. KL-SATD introduction and removal are connected mainly to code smells, connecting them to maintainability rather than reliability or security. This is reinforced by the relationship with the sqale index, as well as the dominance of code smells in SonarQube issues. Many KL-SATD issues have characteristics going beyond static analysis tools and require future studies extending the capabilities of the current tools. As KL-SATD comments and SonarQube reports appear to have limited overlap, it suggests that they are complementary and both are needed for getting a comprehensive view coverage of code maintainability. The study also presents rules violations developers should be aware of regarding KL-SATD introduction and removal.
“The springs are untouchable”: amid community management and government neglect, the last springs in peri-urban areas of Mexico City
Authors: Caro-Borrero Angela , Carmona-Jiménez Javier , Temis-García Lisset , Martínez-Moreno María Fernanda 
Published: November 2023

AbstractIn Latin America, conservation is a subject that cannot be understood outside of the social processes that determine the different conceptions, uses and customs related to nature and water. Mexico is an example of ecosystem diversity, where rural populations see their homes and ecosystems threatened by the uncontrolled advance of urban sprawl. In addition, the lack of governance in water matters leaves both the ecosystem and people in a situation of vulnerability. The aim of this research was to determine the ecological and social indicators of the state of conservation and management of the springs within Mexico City’s Conservation Soils, through: ecological quality, biological diversity and the perceptions of rural-urban communities of water management resources. The springs were found to still conserve elements of good ecological quality and unique traits, making these sites hotspots of local diversity. However, ongoing activities endanger its integrity, such as in situ water extraction, the lack of local organization for water management resources and the poor presence of government institutions to support it. The establishment of a citizen and government participation system for water management is recommended, considering local economic development, socio-cultural complexity, ecosystem richness and fragility, and the socio-ecological context in which these water distribution mechanisms are established. Such actions should include a census of water bodies and the economic activities that depend on them, the ecological evaluation of actively used springs, and water distribution agreements at the local level that consider the previous points.
Bovine neutrophils kill the sexually-transmitted parasite Tritrichomonas foetus using trogocytosis
Authors: Najera Jonathan , Berry Michael M. , Ramirez Ashley D. , Reyes Bryan Ramirez , Angel Arielle , Jellyman Juanita K. , Mercer Frances 
Published: November 2023

AbstractThe protozoan parasite Tritrichomonas foetus (T. foetus) is the causative organism of bovine trichomonosis (also referred to as trichomoniasis), a sexually-transmitted infection that reduces fertility in cattle. Efforts to control trichomonosis on cattle farms are hindered by the discouragement of antibiotic use in agriculture, and the incomplete, short-lived protection conferred by the current vaccines. A more complete mechanistic understanding of what effective immunity to T. foetus entails could enable the development of more robust infection control strategies. While neutrophils, the primary responders to infection, are present in infected tissues and have been shown to kill the parasite in vitro, the mechanism they use for parasite killing has not been established. Here, we show that primary bovine neutrophils isolated from peripheral blood rapidly kill T. foetus in vitro in a dose-dependent manner, and that optimal parasite killing is reduced by inhibitors of trogocytosis. We also use imaging to show that bovine neutrophils surround T. foetus and trogocytose its membrane. These findings are consistent with killing via trogocytosis, a recently described novel neutrophil antimicrobial mechanism.
Evaluation of Using Sequential Electrocoagulation and Chemical Coagulation for Urea Removal from Synthetic and Domestic Wastewater
Authors: Shaban A. , Basiouny M. E. , AboSiada Osama A. 
Published: November 2023

AbstractThe presence of urea in wastewater can give rise to many issues, including the proliferation of algae as a consequence of eutrophication as well as the discharge of ammonia, which exerts a detrimental impact on aquatic organisms. To assess the efficacy of several treatment strategies for lowering urea concentrations, this study compared the removing performances of electrocoagulation (EC) with those of conducting electrocoagulation and chemical coagulation in sequence (EC-CC) or vice versa (CC-EC). Many effective parameters of electrocoagulation have been studied, such as current density, spacing between electrodes, electrolyte type, and electrolysis time. A scanning electron microscope was used to investigate the electrode morphology, and a Fourier transform infrared was conducted to analyze the formed sludge. The electrocoagulation was carried out at its optimum conditions at 30 A/m2, and the chemical coagulation was conducted using three types of iron coagulants: FeSO4, Fe2(SO4)3, and FeCl3. The results showed insufficient improvement in urea removal for synthetic and domestic wastewater via EC-CC, regardless of the coagulant type. The urea removal efficiency via EC-CC improved by less than 0.5% and 5.5% for synthetic and domestic wastewater, respectively. In contrast, CC-EC proved a better improvement for urea removal for both synthetic and domestic wastewater, but only for FeCl3. Treatment by CC-EC at 30 A/m2 for 60 min using iron electrodes and 0.5 g/L of FeCl3 resulted in an improvement in the removal efficiency of urea by about 3.4% and 10.40% for synthetic and domestic wastewater, respectively. CC-EC achieved better removal of COD from domestic wastewater than that achieved by EC-CC by 6%. The results obtained from the study indicate that the CC-EC process is a cost-effective method for removing urea from both synthetic and domestic wastewater.
Open Strategy: Durch offene Strategieprozesse Geschäftsmodelle innovieren
Authors: Matzler Kurt , von den Eichen Stephan Friedrich , Stoiber Kristina , Hautz Julia , Stadler Christian 
Published: November 2023

ZusammenfassungDieser Artikel untersucht, wie Unternehmen Open Strategy als transparenten und inklusiven Ansatz der Strategiearbeit nutzen können, um disruptiven Gefahren erfolgreich zu begegnen. Es werden verschiedene offene Strategieformate vorgestellt, die es Unternehmen ermöglichen, neue disruptive Geschäftslogiken zu entwickeln und zu implementieren. Anhand von Praxisbeispielen werden die Chancen und Herausforderungen für Unternehmen bei der Öffnung ihrer Strategieprozesse diskutiert und fünf Erfolgsfaktoren einer offenen Strategie identifiziert. Der Artikel schließt mit der Erkenntnis, dass Open Strategy ein effektives Instrument sein kann, um potenziell disruptive Geschäftslogiken zu realisieren.
Classification of rib fracture types from postmortem computed tomography images using deep learning
Authors: Ibanez Victor , Jucker Dario , Ebert Lars C. , Franckenberg Sabine , Dobay Akos 
Published: November 2023

Abstract
Human or time resources can sometimes fall short in medical image diagnostics, and analyzing images in full detail can be a challenging task. With recent advances in artificial intelligence, an increasing number of systems have been developed to assist clinicians in their work. In this study, the objective was to train a model that can distinguish between various fracture types on different levels of hierarchical taxonomy and detect them on 2D-image representations of volumetric postmortem computed tomography (PMCT) data. We used a deep learning model based on the ResNet50 architecture that was pretrained on ImageNet data, and we used transfer learning to fine-tune it to our specific task. We trained our model to distinguish between “displaced,” “nondisplaced,” “ad latus,” “ad longitudinem cum contractione,” and “ad longitudinem cum distractione” fractures. Radiographs with no fractures were correctly predicted in 95–99% of cases. Nondisplaced fractures were correctly predicted in 80–86% of cases. Displaced fractures of the “ad latus” type were correctly predicted in 17–18% of cases. The other two displaced types of fractures, “ad longitudinem cum contractione” and “ad longitudinem cum distractione,” were correctly predicted in 70–75% and 64–75% of cases, respectively. The model achieved the best performance when the level of hierarchical taxonomy was high, while it had more difficulties when the level of hierarchical taxonomy was lower. Overall, deep learning techniques constitute a reliable solution for forensic pathologists and medical practitioners seeking to reduce workload.
FAIR sharing of health data: a systematic review of applicable solutions
Authors: Guillot Paul , Bøgsted Martin , Vesteghem Charles 
Published: November 2023

Abstract
Purpose
Data sharing is essential in health science research. This has also been acknowledged by governments and institutions who have set-up a number of regulations, laws, and initiatives to facilitate it. A large number of initiatives has been trying to address data sharing issues. With the development of the FAIR principles, a set of detailed criteria for evaluating the relevance of such solutions is now available. This article intends to help researchers to choose a suitable solution for sharing their health data in a FAIR way.

Methods
We conducted a systematic literature review of data sharing platforms adapted to health science research. We selected these platforms through a query on Scopus, PubMed, and Web of Science and filtered them based on specific exclusion criteria. We assessed their relevance by evaluating their: implementation of the FAIR principles, ease of use by researchers, ease of implementation by institutions, and suitability for handling Individual Participant Data (IPD).

Results
We categorized the 35 identified solutions as being either online or on-premises software platforms. Interoperability was the main obstacle for the solutions regarding the fulfilment of the FAIR principles. Additionally, we identified which solutions address sharing of IPD and anonymization issues. Vivli and Dataverse were identified as the two most all-round solutions for sharing health science data in a FAIR way.

Conclusions
Although no solution is perfectly adapted to share all type of health data, there are work-arounds and interesting solutions to make health research data FAIR.
Barriers and Lifelines for Young Refugee Children’s Education: The Experiences of One Young Iraqi Refugee Living in the Northern Suburbs of Beirut
Authors: El Gemayel Sandra Marie 
Published: November 2023

AbstractThis paper identifies key barriers to young Iraqi and Syrian refugee children’s access to education in Lebanon and highlights how local initiatives serve as glimmers of hope, or ‘lifelines’, for their well-being and learning. Reporting on aspects of my doctoral study, the paper homes in on one case study with an Iraqi family and their 5-year-old son, Kefa. The ‘Day in the Life’ methodology enabled rich insights into Kefa’s home life and the informal school he attended, supplemented by interview data with his schoolteacher and observation of his school. The paper also draws on questionnaire data to situate this case study in a broader spectrum of refugee children’s experiences in Lebanon (n = 100). Framed by sociocultural approaches to learning, the findings illustrate the interplay of social, economic and relational barriers that impede refugee children’s access to quality education, and demonstrate how, despite limited resources, the informal school offered an inclusive and anti-discriminatory environment and pedagogy to break down barriers that bred racism, bullying and isolation. The paper argues that, although important, these lifelines are limited in their scope. State intervention is needed to build non-discriminatory systems that promote inclusive education, so all children can receive quality education, feel safe and belong.
Antimicrobial activity, mechanical and thermal properties of cassava starch films incorporated with beeswax and propolis
Authors: Betancur-D´Ambrosio María Carolina , Pérez-Cervera Carmen Elena , Barrera-Martinez Cindy , Andrade-Pizarro Ricardo 
Published: November 2023

AbstractEdible films can be formed from different polymeric compounds. The use of starch has gained extra value; because it can be used in combination with plasticizers and lipids, helping to improve mechanical properties. Besides, with the addition of an antimicrobial, the function of these films can be extended. The objective of this research was to evaluate the effect of native cassava starch, beeswax and ethanolic propolis extract (EPE) on the mechanical, thermal and inhibitory properties against the Aspergillus niger fungus. An experimental Box-Behnken design with three factors: cassava starch concentration (2–4%w/v), beeswax (0.5–0.9%w/w) and EPE (1–4%v/w) was used. The films obtained were opaque and with low mechanical properties. EPE concentration affected tensile strength, elongation at break (EB) and Young’s modulus (YM), and cassava starch content only affected EB and YM. In thermal properties, the weight loss was affected by the cassava starch-beeswax interaction, where the most loss occurred at high levels of these factors in the temperature range of 200–360 °C. The films reduced the growth of the Aspergillus niger by 51%, where the beeswax-EPE interaction had a significant positive effect. The characteristics of the developed films suggest that they would be more acceptable as fruit and vegetable coatings.
Complex effects of the exo-xis region of the Shiga toxin-converting bacteriophage Φ24B genome on the phage development and the Escherichia coli host physiology
Authors: Bloch Sylwia , Nejman-Faleńczyk Bożena , Licznerska Katarzyna , Dydecka Aleksandra , Topka-Bielecka Gracja , Necel Agnieszka , Węgrzyn Alicja , Węgrzyn Grzegorz 
Published: November 2023

AbstractLambdoid bacteriophages are excellent models in studies on molecular aspects of virus-host interactions. However, some of them carry genes encoding toxins which are responsible for virulence of pathogenic strains of bacteria. Shiga toxin-converting bacteriophages (Stx phages) encode Shiga toxins that cause virulence of enterohemorrhagic Escherichia coli (EHEC), and their effective production depends on Stx prophage induction. The exo-xis region of the lambdoid phage genome consists of genes which are dispensable for the phage multiplication under laboratory conditions; however, they might modulate the virus development. Nevertheless, their exact effects on the phage and host physiology remained unclear. Here, we present results of complex studies on the role of the exo-xis region of bacteriophage Φ24B, one of Stx2b phages. Transcriptomic analyses, together with proteomic and metabolomic studies, provided the basis for understanding the functions of the exo-xis region. Genes from this region promoted lytic development of the phage over lysogenization. Moreover, expression of the host genes coding for DnaK, DnaJ, GrpE, and GroELS chaperones was impaired in the cells infected with the Δexo-xis phage mutant, relative to the wild-type virus, corroborating the conclusion about lytic development promotion by the exo-xis region. Proteomic and metabolomic analyses indicated also modulation of gad and nrf operons, and levels of amino acids and acylcarnitines, respectively. In conclusion, the exo-xis region controls phage propagation and host metabolism by influencing expression of different phage and bacterial genes, directing the virus to the lytic rather than lysogenic developmental mode.