bluuebunny/crossref_metadata_2025_split huggingface dataset:
Global species hotspots and COI barcoding cold spots of marine Gastropoda
Authors: Torres Andrew F. , Wangensteen Owen S. , Renema Willem , Meyer Christopher P. , Fontanilla Ian Kendrich C. , Todd Jonathan A. 
Published: July 2024

AbstractWith the on-going efforts in digitising museum collections, increased participation of citizen scientists, and greater accessibility to research data, accurately determining global patterns of diversity has become more achievable. Here, we used occurrence records from the Global Biodiversity Information Facility, with annotation of authoritative taxonomy, to evaluate the taxonomic richness of marine gastropods and to identify global species hotspots for this group. We also reviewed the availability of genetic resources within hotspots to detect potentially important regions where reference sequences for identifying these organisms are wanting. We find 33,268 unique and valid species under 3291 genera belonging to 380 gastropod families that have been recorded from 1662 to 2023. Globally, only 12.1% of reported species are linked to a COI barcode, whilst 27.1% of the families are represented with complete mitogenomes. Georeferenced records show the wide albeit disparate distribution of observations and species counts. The compiled dataset, published by organisations that are restricted to 55 countries, reveal a seeming lack of local submissions, but nonetheless demonstrates the growing contribution of citizen science platforms. We present 28 marine provinces across the globe as putative gastropod species hotspots and call for further work and stronger involvement, particularly within COI barcoding cold spots, to address the observed genetic reference inequity. Lastly, we highlight the important and relevant role of open and inclusive science to biodiversity monitoring and research.
Differences in the seasonal development of perithecia by Neonectria ditissima on apple trees across Northern Europe
Authors: Børve Jorunn , Pampus Katharina , Haikonen Tuuli , Podavkova Andrea , Myren Gaute , Weber Roland W. S. 
Published: July 2024

AbstractAscospores discharged at rainfall and dispersed by wind can provide long-distance spread of the European canker fungus, Neonectria ditissima. Ascospores are produced by perithecia which are the sexual reproductive stage. Diffuse knowledge exists on the seasonal pattern of perithecium formation under different climatic conditions. Therefore, the development of perithecia was observed for several successive seasons at five sites in three Northern European countries. In Norway and Finland, ripe perithecia were commonly recorded throughout the year, and on individual cankers continuously for up to 28 months. In contrast, asexual reproductive structures (sporodochia) were confined to the growing season in both countries. In Northern Germany an average of 51% of cankers developed ripe perithecia by late winter, and perithecial senescence ensued in late spring. On average, ripe perithecia were present on cankers for 22 weeks. In contrast, sporodochia were observed all year round. The timing of perithecium maturation correlated with the number of days with > 2 mm rainfall in July–September. The presence of mature perithecia and sporodochia for different lengths of time in different countries has implications for regional disease management strategies.
Fixing Dockerfile smells: an empirical study
Authors: Rosa Giovanni , Zappone Federico , Scalabrino Simone , Oliveto Rocco 
Published: July 2024

AbstractDocker is the de facto standard for software containerization. A Dockerfile contains the requirements to build a Docker image containing a target application. There are several best practice rules for writing Dockerfiles, but the developers do not always follow them. Violations of such practices, known as Dockerfile smells, can negatively impact the reliability and performance of Docker images. Previous studies showed that Dockerfile smells are widely diffused, and there is a lack of automatic tools that support developers in fixing them. However, it is still unclear what Dockerfile smells get fixed by developers and to what extent developers would be willing to fix smells in the first place. The aim of our study is twofold. First, we want to understand what Dockerfiles smells receive more attention from developers, i.e., are fixed more frequently in the history of open-source projects. Second, we want to check if developers are willing to accept changes aimed at fixing Dockerfile smells (e.g., generated by an automated tool), to understand if they care about them. We evaluated the survivability of Dockerfile smells from a total of 53,456 unique Dockerfiles, where we manually validated a large sample of smell-removing commits to understand (i) if developers performed the change with the intention of removing bad practices, and (ii) if they were aware of the removed smell. In the second part, we used a rule-based tool to automatically fix Dockerfile smells. Then, we proposed such fixes to developers via pull requests. Finally, we quantitatively and qualitatively evaluated the outcome after a monitoring period of more than 7 months. The results of our study showed that most developers pay more attention to changes aimed at improving the performance of Dockerfiles (image size and build time). Moreover, they are willing to accept the fixes for the most common smells, with some exceptions (e.g., missing version pinning for OS packages).
From Research to Practice: Are Multimedia Principles Present in Instructional Videos Used by Teachers in Science and History?
Authors: La Torre Sandra , Désiron Juliette C. 
Published: July 2024

AbstractOver the past decades, researchers have investigated the effects of multimedia design principles to enhance learning. These evidence-based principles are known to enable students to learn from multimedia resources and support cognitive processing. However, it is unclear if and which of these multimedia design principles are implemented in instructional videos selected by teachers. The purpose of this study is to investigate whether the videos screened by secondary school teachers in their classroom are consistent with the multimedia design principles based on the cognitive theory of multimedia learning. For this study a design review of 78 videos was conducted. The findings indicate variations in the application of multimedia principles. While most of the multimedia design principles were present, some were transgressed or absent. Moreover, the presence of the three different groups of principles, based on their impact on the cognitive load (i.e., reducing extraneous processing, managing essential processing, and fostering generative processing) were rarely present in the same video. Finally, this study also revealed that the teachers were actively implementing the multimedia design principles when they screened the videos in the classroom. Indeed, they frequently applied the pre-training principle (e.g., by introducing new words to the students before the screening), the segmentation principle (e.g., by pausing the video during the screening), and the generative activity principle (e.g., by asking students to complete a task during or right after the screening). Thus, the present study not only provides an insight on the design of authentic instructional videos but also highlights the addition of multimedia principles by teachers during the screening.
Adolescent educational and occupational anxiety: A three-dimensional model to fit into an attachment framework
Authors: Mallet Pascal , Vignoli Emmanuelle , Lallemand Noëlle 
Published: July 2024

AbstractWe propose a model of the anxiety adolescents experience about their educational and occupational future that includes three topics they worry about: (a) career failure, (b) parental disappointment, and (c) separation from loved ones to achieve one’s career. A total of 16,663 15-year-old French participants filled out a new anxiety questionnaire and other self-reports. Factor analyses showed that all three topics belong to the same type of anxiety, and suggested that the adolescents’ fear about their career is closely interwoven with parental attachment. This new kind of anxiety varied across gender and was correlated with school-adjustment and personality variables.
A Taxonomy of Home Automation: Expert Perspectives on the Future of Smarter Homes
Authors: FakhrHosseini Shabnam , Lee Chaiwoo , Lee Sheng-Hung , Coughlin Joseph 
Published: July 2024

AbstractRecent advancements in digital technologies, including artificial intelligence (AI), Internet of Things (IoT), and information and communication technologies (ICT), are transforming homes into interconnected ecosystem of services. Yet, discourse on home technologies remains fragmented due to inconsistent terminologies. This paper addresses the lack of a framework, studying distinctions between smart and non-smart homes and forecasting connectivity and automation growth. Experts (21) participated in online surveys and interviews in 2021, exploring language, structure, and technical/social aspects of basic and smarter homes. Quantitative survey data and qualitative interview analyses yield insights on defining smarter homes, barriers to adoption, and framework improvements to establish universal definitions. This study underscores the urgency of harmonizing language and concepts in the domain of smart homes, revealing user understanding gaps and usability issues as barriers. This bridges gaps for consumer engagement and tech adoption.
La:ZnO nanoparticles: an investigation on structural, optical, and microwave properties
Authors: Sakar Neslihan , Ertekin Zeynep , Oguzlar Sibel , Erol Mustafa 
Published: July 2024

AbstractThis paper presents the utilization of ethylene glycol monomethyl ether (EGME) during the synthesis of ZnO and La:ZnO with two tasks as a solvent and a fuel source within the gel combustion technique. The use of EGME for this purpose provides one-step production of the nanoparticles (NPs) and saves a considerable amount of time. The detailed characterization of the nanoparticles was carried out by X-ray diffractometer (XRD), scanning electron microscope (SEM), particle size analyzer, Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), photoluminescence (PL), and Vector Network Analyzer (VNA) measurements, respectively. The NPs exhibited a hexagonal wurtzite structure with good crystallinity and a porous spongy morphology. The photoluminescence emission maxima of the synthesized NPs appeared at 500, 560, and 676 nm, upon excitation by the 372 nm of excitation. La:ZnO NPs showed significantly better photoluminescent characteristics than La-free ZnO forms. When excited at the same wavelength, La-free ZnO, 3%, and 7% La:ZnO exhibited 92, 45, and 35 μs average decay times, respectively. Finally, the microwave properties of the relative complex permittivity and permeability characteristics were also investigated and discussed in detail, which were derived from the scattering parameters of S11 and S21 in the X band regime.
An Overview of Tsetse Fly Repellents: Identification and Applications
Authors: Orubuloye Olabimpe Y. , Mbewe Njelembo J. , Tchouassi David P. , Yusuf Abdullahi A. , Pirk Christian W. W. , Torto Baldwyn 
Published: July 2024

AbstractTsetse flies are vectors of the parasite trypanosoma that cause the neglected tropical diseases human and animal African trypanosomosis. Semiochemicals play important roles in the biology and ecology of tsetse flies. Previous reviews have focused on olfactory-based attractants of tsetse flies. Here, we present an overview of the identification of repellents and their development into control tools for tsetse flies. Both natural and synthetic repellents have been successfully tested in laboratory and field assays against specific tsetse fly species. Thus, these repellents presented as innovative mobile tools offer opportunities for their use in integrated disease management strategies.
Inexact Fixed-Point Proximity Algorithm for the $$\ell _0$$ Sparse Regularization Problem
Authors: Fang Ronglong , Xu Yuesheng , Yan Mingsong 
Published: July 2024

AbstractWe study inexact fixed-point proximity algorithms for solving a class of sparse regularization problems involving the $$\ell _0$$

ℓ
0

norm. Specifically, the $$\ell _0$$

ℓ
0

model has an objective function that is the sum of a convex fidelity term and a Moreau envelope of the $$\ell _0$$

ℓ
0

norm regularization term. Such an $$\ell _0$$

ℓ
0

model is non-convex. Existing exact algorithms for solving the problems require the availability of closed-form formulas for the proximity operator of convex functions involved in the objective function. When such formulas are not available, numerical computation of the proximity operator becomes inevitable. This leads to inexact iteration algorithms. We investigate in this paper how the numerical error for every step of the iteration should be controlled to ensure global convergence of the inexact algorithms. We establish a theoretical result that guarantees the sequence generated by the proposed inexact algorithm converges to a local minimizer of the optimization problem. We implement the proposed algorithms for three applications of practical importance in machine learning and image science, which include regression, classification, and image deblurring. The numerical results demonstrate the convergence of the proposed algorithm and confirm that local minimizers of the $$\ell _0$$

ℓ
0

models found by the proposed inexact algorithm outperform global minimizers of the corresponding $$\ell _1$$

ℓ
1

models, in terms of approximation accuracy and sparsity of the solutions.
A Cost-Affordable Methodology of 3D Printing of Bone Fractures Using DICOM Files in Traumatology
Authors: Chrz Kristián , Bruthans Jan , Ptáčník Jan , Štuka Čestmír 
Published: July 2024

Abstract
Three-dimensional (3D) printing has gained popularity across various domains but remains less integrated into medical surgery due to its complexity. Existing literature primarily discusses specific applications, with limited detailed guidance on the entire process. The methodological details of converting Computed Tomography (CT) images into 3D models are often found in amateur 3D printing forums rather than scientific literature. To address this gap, we present a comprehensive methodology for converting CT images of bone fractures into 3D-printed models. This involves transferring files in Digital Imaging and Communications in Medicine (DICOM) format to stereolithography format, processing the 3D model, and preparing it for printing. Our methodology outlines step-by-step guidelines, time estimates, and software recommendations, prioritizing free open-source tools. We also share our practical experience and outcomes, including the successful creation of 72 models for surgical planning, patient education, and teaching. Although there are challenges associated with utilizing 3D printing in surgery, such as the requirement for specialized expertise and equipment, the advantages in surgical planning, patient education, and improved outcomes are evident. Further studies are warranted to refine and standardize these methodologies for broader adoption in medical practice.
FairMOE: counterfactually-fair mixture of experts with levels of interpretability
Authors: Germino Joe , Moniz Nuno , Chawla Nitesh V. 
Published: July 2024

AbstractWith the rise of artificial intelligence in our everyday lives, the need for human interpretation of machine learning models’ predictions emerges as a critical issue. Generally, interpretability is viewed as a binary notion with a performance trade-off. Either a model is fully-interpretable but lacks the ability to capture more complex patterns in the data, or it is a black box. In this paper, we argue that this view is severely limiting and that instead interpretability should be viewed as a continuous domain-informed concept. We leverage the well-known Mixture of Experts architecture with user-defined limits on non-interpretability. We extend this idea with a counterfactual fairness module to ensure the selection of consistently fair experts: FairMOE. We perform an extensive experimental evaluation with fairness-related data sets and compare our proposal against state-of-the-art methods. Our results demonstrate that FairMOE is competitive with the leading fairness-aware algorithms in both fairness and predictive measures while providing more consistent performance, competitive scalability, and, most importantly, greater interpretability.
Investigation of cholinesterase and α-glucosidase enzyme activities, and molecular docking and dft studies for 1,2-disubstituted cyclopentane derivatives with phenyl and benzyl units
Authors: Artunç Tekin , Çetinkaya Yasin , Taslimi Parham , Menzek Abdullah 
Published: July 2024

AbstractSix known products (4–9) were prepared from reaction of adipoyl chloride with 1,2,3-trimethoxybenzene according to the literature. From (2,3,4-trimethoxyphenyl)(2-(2,3,4-trimethoxyphenyl)cyclopent-1-en-1-yl)methanone (4) of them, four new 1,2-disubstituted cyclopentane derivatives (10–13) with phenyl and benzyl units were synthesized by reactions such as hydrazonation, catalytic hydrogenation and bromination. The obtained compounds 4–13 were examined for their in vitro inhibitory activity against acetylcholinesterase (AChE), butyrylcholinesterase (BChE) and α-glucosidase enzymes. All compounds 4–13 showed inhibition at nanomolar level with Ki values in the range of 45.53 ± 7.35–631.96 ± 18.88 nM for AChE, 84.30 ± 9.92–622.10 ± 35.14 nM for BChE, and 25.47 ± 4.46–48.87 ± 7.33 for α-Glu. In silico molecular docking studies of the potent compounds were performed in the active sites of AChE (PDB: 1E66), BChE (PDB: 1P0I), and α-glucosidase (PDB: 5ZCC) to compare the effect of bromine atom on the inhibition mechanism. The optimized molecular structures, HOMO–LUMO energies and molecular electrostatic potential maps for the compounds were calculated by using density functional theory with B3LYP/6–31 + G(d,p).
Development and validation of a novel treatment adherence, satisfaction and knowledge questionnaire (TASK-Q) for adult patients with hypothalamic-pituitary disorders
Authors: Llahana Sofia , Yuen Kevin C. J. 
Published: July 2024

Abstract
Purpose
Successful treatment outcomes of adults with hypothalamic-pituitary disorders necessitate the adoption of intricate self-management behaviors, yet current scales for evaluating treatment adherence and satisfaction are inadequate for this patient group. This research introduces a novel treatment adherence, satisfaction and knowledge questionnaire (TASK-Q) developed specifically to identify patients’ unmet needs in better assessing and managing these disorders.

Methods
The study was conducted in three phases: (1) generating items and testing content validity, (2) refining these items through a pilot study, and (3) a main study evaluating the psychometric properties of the TASK-Q scale among 262 adults in a Pituitary Nurse-led Clinic, with 152 (58%) patients completing the questionnaire.

Results
Exploratory factor analysis was used to test the factor structure and construct validity of the TASK-Q, revealing a 22-item scale divided into Satisfaction and Knowledge (17 items) and Adherence (5 items) subscales, and exhibiting high internal consistency (Cronbach’s α = 0.90). Significant correlations were identified between satisfaction and knowledge (r = 0.67, p < 0.001), satisfaction and adherence (r = 0.23, p = 0.005), and knowledge and adherence (r = 0.43, p < 0.001). Complex treatment regimens, like daily growth hormone injections and adjusting glucocorticoids during illness, negatively affected adherence (p < 0.001).

Conclusion
The TASK-Q is a novel validated scale that can effectively evaluate patients’ perspectives on adherence, knowledge and satisfaction. Our findings highlight the significant impact of Advanced Nurse Practitioners in improving patient self-management behaviors, which likely leads to better treatment outcomes for people with hypothalamic-pituitary disorders.
Natural noise management in collaborative recommender systems over time-related information
Authors: Baldán Francisco J. , Yera Raciel , Martínez Luis 
Published: July 2024

AbstractRecommender systems are currently a suitable alternative for providing easy and appropriate access to information for users in today’s digital information-overloaded world. However, an important drawback of these systems is the inconsistent behavior of users in providing item preferences. To address this issue, several natural noise management (NNM) approaches have been proposed, which positively influence recommendation accuracy. However, a major limitation of such previous works is the disregarding of the time-related information coupled to the rating data in RSs. Based on this motivation, this paper proposes two novel methods, named SeqNNM and SeqNNM-p for NNM focused on an incremental, time-aware recommender system scenario that has not yet been considered, by performing a classification-based NNM over specific preference sequences, driven by their associated timestamps. Such methods have been evaluated by simulating a real-time scenario and using metrics such as mean absolute error, root-mean-square error, precision, recall, NDCG, number of modified ratings, and running time. The obtained experimental results show that in the used settings, it is possible to achieve better recommendation accuracy with a low intrusion degree. Furthermore, the main innovation associated with the overall contribution is the screening of natural noise management approaches to be used on specific preferences subsets, and not over the whole dataset as discussed by previous authors. These proposed approaches allow the use of natural noise management in large datasets, in which it would be very difficult to correct the entire data.
Adsorption and transport of acid dye through polymer inclusion membrane with Aliquat 336 and TBP
Authors: Manzak Aynur , Demirbaş Özlem , Yıldız Yasemin , Teker Murat 
Published: July 2024

AbstractColour is typically the initial pollutant identified in wastewater. Membrane separation represents a novel approach to separation processes, with expectations of supplanting many traditional separation systems. The aim of this study is to investigate polymer inclusion membranes (PIMs) consisting of tri octyl methyl ammonium chloride as the carrier, tributylphosphate as the modifier, poly-vinyl chloride as the base polymer and 2-Nitro phenyl pentyl ether as the plasticizer for removing an acid dye (Red Erionyl A-3G) from aqueous solution. The dye adsorption on the membrane surface and its transition to the stripping phase was achieved by placing the membrane between two glass cells. Changing the stripping solution ensured both adsorption on the membrane surface and the transfer of all the dye to the stripping stage. Using a mixture of 0.8 M salicylic acid and 0.8 M NaOH, along with stirring at 1000 rpm during the stripping phase, extraction efficiency reached 98% in the feed phase and 53% in the stripping phase. When 1 M NaOH solution was employed as the stripping solution, the membrane absorbed all the dye within 10 minutes, but there was no transition to the stripping phase. The membrane has a durability of 2 days.
Graphical abstract