bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ameloblastic carcinoma: A systematic review
Authors: Robinson Liam , Abreu Lucas Guimarães , Fonseca Felipe Paiva , Hunter Keith D. , Ambele Melvin A. , van Heerden Willie F. P. 
Published: February 2024

AbstractBackgroundAmeloblastic carcinoma (AC) is the most common odontogenic malignancy, constituting approximately 30% of cases in this category. Literature is sparse on malignant odontogenic neoplasms, with a large proportion of current knowledge derived from case reports or small case series.MethodsA systematic review of case series/case reports of AC was conducted following the Preferred Reporting Items for Systematic Reviews and Meta‐analyses (PRISMA) Statement guidelines. Demographic and clinical information, including duration of the lesion, location, clinical presentation and radiologic features, were analysed. Additionally, the origin of the lesion (primary/secondary), Ki‐67 proliferation index, treatment performed, metastasis, tumour recurrence and prognosis were collected for analysis.ResultsA total of 126 studies, including 285 individual cases of AC, were included in this review. Patients presented with a near‐equal distribution of painless and painful swellings. ACs presented at a median age of 45 years, with a male‐to‐female ratio of 1:2. The mandible was most frequently involved, with rare cases extending to involve more than one region, including crossing the midline. Although most lesions presented with poorly‐demarcated borders (52.6%), unilocular lesions with well‐demarcated borders (47.4%) comprised a substantial number in the sample. The proliferation index was only reported in 27 cases, with a mean score of 42% and a wide range. The probability of tumour recurrence increased, and the survival probability decreased with prolonged follow‐up duration.ConclusionThis study provides more comprehensive, up‐to‐date descriptive data on these rare odontogenic malignancies, aiding clinicians and Pathologists with the diagnosis and surgeons in their management of cases.
Perceptions of caring behaviors: Experiences of nurses in Ethiopia
Authors: Ferede Abebaw Jember , Gezie Lemma Derseh , Geda Biftu , Erlandsson Kerstin , Wettergren Lena 
Published: February 2024

AbstractCaring is a universal phenomenon that influences nurse–patient interactions and feelings, forming the foundation of the nursing profession. How nurses perceive and experience caring in low‐income settings is not well understood. Therefore, the purpose of this study was to explore Ethiopian nurses' perceptions and experiences of caring using a qualitative descriptive design. Individual semi‐structured interviews were conducted with 13 nurses aged 28–57. Interviews were analyzed inductively using reflexive thematic analysis guided by the recommendations of Braun and Clarke. The analysis resulted in three themes: caring is the heartbeat of patient care, constraints to the provision of care, and ways to overcome constraints. The results revealed that nurses were committed to fulfilling their professional obligations and meeting patients' needs despite experiencing multiple constraints. The findings provide a comprehensive perspective in understanding nurses' experiences of caring. Their narratives demonstrate that they face constraints in their clinical practice, which limit the quality of care, including rotation and lack of resources. Cooperation between health policymakers and nurse authorities is essential for shifting the clinical environment from the prevailing traditional task‐oriented approach to patient‐centered care.
Online health information searching and health literacy among middle‐aged and older adults: A cross‐sectional study
Authors: Ishizuki Shiho , Hirano Michiyo 
Published: February 2024

AbstractGiven the rapid increase in health information available, health literacy is now more important than ever when searching for health information online. Furthermore, health literacy and online health information searching are reported to be associated with support from others. In this study, we examined the associations of health literacy and social support with online health information searching among individuals in their 50s and 60s. Between March and May 2022, an anonymous self‐administered questionnaire was administered among 750 middle‐aged and older adults (age 50–69) living in northern Japan. The questionnaire items included personal characteristics, frequency of online health information searching, health literacy domains, and social support. A total of 237 respondents answered all the items (response rate: 31.6%). Multiple logistic regression analysis revealed that communicative health literacy was significantly associated with searching for information about illnesses and health promotion, while critical health literacy was significantly associated with searching for information about medical institutions. Controlling for personal characteristics, health literacy, was associated with online health information searching, suggesting that improving health literacy is important in a digital and information society.
Open science perspectives on machine learning for the identification of careless responding: A new hope or phantom menace?
Authors: Alfons Andreas , Welz Max 
Published: February 2024

AbstractPowerful methods for identifying careless respondents in survey data are not just important to ensure the validity of subsequent data analyses, they are also instrumental for studying the psychological processes that drive humans to respond carelessly. Conversely, a deeper understanding of the phenomenon of careless responding enables the development of improved methods for the identification of careless respondents. While machine learning has gained substantial attention and popularity in many scientific fields, it is largely unexplored for the detection of careless responding. On the one hand, machine learning algorithms can be highly powerful tools due to their flexibility. On the other hand, science based on machine learning has been criticized in the literature for a lack of reproducibility. We assess the potential and the pitfalls of machine learning approaches for identifying careless respondents from an open science perspective. In particular, we discuss possible sources of reproducibility issues when applying machine learning in the context of careless responding, and we give practical guidelines on how to avoid them. Furthermore, we illustrate the high potential of an unsupervised machine learning method for the identification of careless respondents in a proof‐of‐concept simulation experiment. Finally, we stress the necessity of building an open data repository with labeled benchmark data sets, which would enable the evaluation of methods in a more realistic setting and make it possible to train supervised learning methods. Without such a data repository, the true potential of machine learning for the identification of careless responding may fail to be unlocked.
DEVELOPMENT OF ECOFRIENDLY PLASTIC BAGS FROM BIOTHERMOPLASTIC COMPOSITE OF MODIFIED CASSAVA STARCH–GLUCOMANNAN-POLYVINYL ALCOHOL-POLYCAPROLACTONE
Authors: Harsojuwono Bambang Admadi , Arnata I Wayan , Hartiati Amna , Gunam Ida Bagus Wayan , Setiyo Yohanes 
Published: February 2024

The purpose of the study was to determine the type of molding material and the sealing temperature in the formation of ecofriendly plastic bags made from a Modified Starch – Glucomannan – Polyvinyl Alcohol – Polycaprolactone (MSGPVAPCL) biothermoplastic composites. The study used a factorial randomized block design experiment. Factor 1: the type of molding material consists of Teflon and acrylic while factoring 2: the sealing temperature with levels of 90, 95, 100, 105, and 110 °C. Mechanical, physical, biological and chemical characteristics were observed. The research results show that the type of teflon molding material and the sealing temperature of 105°C gave the best characteristics of ecofriendly plastic bags with a tensile strength value of 28.62 MPa, elongation at break of 8.68%, Young's modulus 449.44 MPa, a heat seal tensile strength on the bag handle of 6.10 N, a heat seal tensile strength on the bag bottom of 4.10 N, tear strength direction longitudinally of 3.61 N, transverse tear strength of 1.78 N, WVTR of 91.23 g/m2/day, swelling of 5.31% and biodegradation time of 7.00 days, the maximum evaporation temperature of 72.43 °C, degradation temperature of 220.97 °C and a weight loss of 30.07%, a crystalline degree of 20.71% and an amorphous degree of 79.29%, a smooth longitudinal surface profile with slight waves and a transverse surface profile showing the presence of waves and fine fibers, containing functional groups O-H alcohol, C=O, C=C, C-O and (CH2)n and no heavy metals were detected.
ANTIBACTERIAL ACTIVITY OF DR. RIDZ ANTI-ACNE NANOSERUM® AGAINST SKIN BACTERIA THAT CAUSE ACNE VULGARIS
Authors: Ridzuan P.M. , Noraziah Z. M. , A. Sukri , N. S. Fadzil 
Published: February 2024

Cutibacterium acnes, Staphylococcus epidermidis, and Staphylococcus aureus are commonly associated with the pathogenesis of acne vulgaris. Skincare products that contain natural ingredients have become a trend to treat acne. Dr.Ridz Anti-Acne Nanoserum® product was formulated with the extract of Cassia alata leaf and Piper betle. The aim of this study was to determine the antibacterial activity of this formulated product against against C. acnes, S. epidermidis, and S. aureus. The minimum inhibitory concentration (MIC) value and the minimum bactericidal concentration (MBC) were determined using a broth microdilution and a streak plate method, respectively. The rate of killing by this product was tested using time-kill assay (TKA) at 0.5x MIC, 1x MIC, and 2x MIC with incubation periods of 2, 4, 6, 8 10, 12, and 24 hours. The MIC values showed that this product inhibited S. epidermidis and S. aureus better than C. acnes. From the calculation of the MBC/MIC ratio, this product showed bactericidal effects against all tested bacteria. The time-kill studies showed that the killing effect of this product was concentration-dependent, and the highest antibacterial activity was observed at the concentration of 2x MIC against all tested bacteria. In conclusion, Dr.Ridz Anti-Acne Nanoserum® exhibits the best antibacterial activities against S. epidermidis and showed a bactericidal effect towards all tested bacteria.

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Dialogue Generation Model with Hierarchical Encoding and Semantic Segmentation of Dialogue Context
Authors: Wei Xiao , Lin Yidian , Hu Qitao 
Published: February 2024

Dialogue generation, as a crucial subtask of dialogue systems, is garnering increasing attention in the field of Natural Language Processing (NLP). The success of dialogue generation relies on effectively utilizing context information to ensure coherent and diverse responses. However, current approaches heavily rely on external sources rather than leveraging the inherent dialogue content. We propose a new approach to address this challenge by introducing semantic segmentation from the field of image processing into NLP. Our contribution lies in the development of a Dialogue Generation model with Hierarchical Encoding and Semantic segmentation of dialogue Context, which is called DGHESC. This model is topic and speaker-aware, capturing the flow of topic and speaker information within the dialogue context using a hierarchical transformer-based framework. Specifically, we extract semantic information at the word-level for each utterance, segment the dialogue context based on topic and speaker semantics, and employ attention mechanisms to model the context at the utterance-level. Experimental results on two open-domain datasets demonstrate the effectiveness of DGHESC. It enhances response quality and achieves state-of-the-art performances on the datasets.
Superpower graphs of finite groups
Authors: Kumar Ajay , Selvaganesh Lavanya , Cameron Peter J , Tamizh Chelvam T. 
Published: February 2024

For a finite group [Formula: see text] the superpower graph [Formula: see text] of [Formula: see text] is an undirected simple graph with vertex set [Formula: see text] and two vertices are adjacent in [Formula: see text] if and only if the order of one divides the order of the other in [Formula: see text]. The aim of this paper is to provide tight bounds for the vertex connectivity, discuss Hamiltonian-like properties of superpower graph of finite non-Abelian groups having an element of exponent order. We also give some general results about superpower graphs and their relation to other graphs such as the Gruenberg–Kegel graph.
On discrete properties of Bernoulli shift
Authors: Halušková Emília , Schwartzová Radka 
Published: February 2024

Monounary algebras are the most simple type of an algebraic structure. Oriented graphs with one outgoing arrow from every vertex represent them. The aim of this paper is to point out the interdisciplinary relationships concerning this structure. Bernoulli shift is a paradigmatic mapping in dynamical systems. It is also called dyadic, bit shift, doubling or sawtooth. We offer a look at the properties of this mapping via monounary algebras.
Noise propagation and amplification in microbial communities with different resistance mechanisms
Authors: Yang Zhao , Yan Fang , Liu Haihong 
Published: February 2024

Antimicrobial resistance is a growing concern in the field of microbiology. In a microbial community, the Susceptible Subpopulations (SSs) and the Non-genetically Resistant Subpopulations (NRSs) can switch between each other, and NRSs can mutate to Genetically Resistant Subpopulations (GRSs). In order to quantitatively describe the relationship between noise and signal amplification in the subpopulations, a mathematical model for three subpopulations is proposed in this paper. The gain fluctuation relation is obtained by linear noise approximation of the master equation. Then, through the simulation of these theoretical results, the following conclusions are found. First, the indirect effects of the interaction between subpopulations are much greater than the direct effects, which may be one of the reasons that the infection is difficult to cure. This is consistent with the findings of Zhou et al. and indicates the reliability of our new model. Second, the intrinsic net growth rate of SSs can be chosen as the adjustment parameter, which can effectively exploit or avoid the strong correlation between SSs and the two resistant subpopulations, including NRSs and GRSs. Third, unlike unidirectional cascades, additional intrinsic noise in GRSs can propagate to NRSs. Similarly, although there is no direct interaction between SSs and GRSs, additional intrinsic noise in GRSs can propagate to SSs, and vice versa. Finally, both total noise and adjusted noise exhibit similar amplification properties in this population. It is worth noting that the noise is consistently amplified from NRSs to GRSs. These findings may provide new insights into antimicrobial therapy.
Automorphisms and subdivisions of Helly graphs
Authors: Haettel Thomas 
Published: February 2024

In this paper, we study Helly graphs of finite combinatorial dimension, i.e. whose injective hull is finite-dimensional. We describe very simple fine simplicial subdivisions of the injective hull of a Helly graph, following work of Lang. We also give a very explicit simplicial model of the injective hull of a Helly graph, in terms of cliques which are intersections of balls. We use these subdivisions to prove that any automorphism of a Helly graph with finite combinatorial dimension is either elliptic or hyperbolic. Moreover, every such hyperbolic automorphism has an axis in an appropriate Helly subdivision, and its translation length is rational with uniformly bounded denominator.
eDiGS: Extended Divergence-Guided Shape Implicit Neural Representation for Unoriented Point Clouds
Authors: Ben-Shabat Yizhak , Koneputugodage Chamin Hewa , Gould Stephen 
Published: February 2024

In this paper, we propose a new approach for learning shape implicit neural representations (INRs) from point cloud data that do not require normal vectors as input. We show that our method, which uses a soft constraint on the divergence of the distance function to the shape’s surface, can produce smooth solutions that accurately orient gradients to match the unknown normal at each point, even outperforming methods that use normal vectors directly. This work extends the latest work on divergence-guided sinusoidal activation INRs [Y. Ben-Shabat, C. H. Koneputugodage and S. Gould, Proc IEEE/CVF Conf Computer Vision and Pattern Recognition, 2022, pp. 19323–19332], to Gaussian activation INRs and provides extended theoretical analysis and results. We evaluate our approach on tasks related to surface reconstruction and shape space learning.
Assessment of current and future trends in water resources in the Gambia River Basin in a context of climate change
Authors: Séne Serigne Mory Khouma , Faye Cheikh , Pande Chaitanya B. 
Published: February 2024

AbstractAccurate assessment of water resources at the watershed level is crucial for effective integrated watershed management. While semi-distributed/distributed models require complex structures and large amounts of input data, conceptual models have gained attention as an alternative to watershed modeling. In this paper, the performance of the GR4J conceptual model for runoff simulation in the Gambia watershed at Simenti station is analyzed over the calibration (1981–1990) and validation period (1991–2000 and 2001–2010). The main inputs to conceptual models like GR4J are daily precipitation data and potential evapotranspiration (PET) measured from the same catchment or a nearby location. Calibration of these models is typically performed using the Nash–Sutcliffe daily efficiency with a bias penalty as the objective function. In this case, the GR4J model is calibrated using four optimization parameters. To evaluate the effectiveness of the model's runoff predictions, various statistical measures such as Nash–Sutcliffe efficiency, coefficient of determination, bias, and linear correlation coefficient are calculated. The results obtained in the Gambia watershed at Simenti station indicate satisfactory performance of the GR4J model in terms of forecast accuracy and computational efficiency. The Nash–Sutcliffe (Q) values are 0.623 and 0.711 during the calibration period (1981–1990) and the validation period (1991–2000), respectively. The average annual flow observed during the calibration period is 0.385 mm while it increases with a value of 0.603 mm during the validation period. As for the average flow simulated by the model, it is 0.142 mm during the calibration period (i.e., a delay of 0.142 mm compared to the observed flow), 0.626 mm in the validation period (i.e., an excess of 0.023 mm compared to the observed flow). However, this study is significant because it shows significant changes in all metrics in the watershed sample under different scenarios, especially the SSP245 and SSP585 scenarios over the period 2021–2100. These changes suggest a downward trend in flows, which would pose significant challenges for water management. Therefore, it is clear that sustainable water management would require substantial adaptation measures to cope with these changes.
Bioinformatics analysis and molecular dynamics simulations of azoreductases (AzrBmH2) from Bacillus megaterium H2 for the decolorization of commercial dyes
Authors: Oyewusi Habeebat Adekilekun , Wahab Roswanira Abdul , Akinyede Kolajo Adedamola , Albadrani Ghadeer M. , Al-Ghadi Muath Q. , Abdel-Daim Mohamed M. , Ajiboye Basiru Olaitan , Huyop Fahrul 
Published: February 2024

AbstractThe present study aimed to investigate the decolorization of various commercial dyes by azoreductases (AzrBmH21, AzrBmH22/3, and AzrBmH24/5) through bioinformatics means, comprising molecular docking, molecular dynamics simulation, and molecular mechanics Poisson–Boltzmann surface area (MM-PBSA). Therefore, four commercial dyes, namely acid orange 7, cresol red, methylene blue, and malachite green, were selected as potential targets for degradation by the above said azoreductases derived fromBacillus megateriumH2. The prediction of ligand binding or catalytic sites for AzrBmH21, AzrBmH22/3, and AzrBmH24/5 were performed using a machine learning algorithm based on the Prank Web and DeepSite chemoinformatic tool. This analysis revealed that several amino acids of AzrBmH2 interacted with the tested dyes, indicating the presence of distinct ligand-binding sites for AzrBmH2-dye complexes. Likewise, the binding affinity for AzrBmH21, AzrBmH22/3, and AzrBmH24/5 ranged from − 9.4 to − 5.5 kcal/mol, − 9.2 to − 5.4 kcal/mol, and − 9.0 to − 5.4 kcal/mol, respectively, with each complex stabilized at a minimum of 0–5 hydrogen bonds. MD simulations revealed stable AzrBmH2-dye complexes with RMSD and RMSF values ranging from 0.15 to 0.42 nm and 0.05 to 0.48 nm, respectively, with Rg values between 1.75 and 1.88 nm. MM-PBSA calculations indicated that the AzrBmH2–dye complexes, except for AzrBmH2–malachite green, exhibited the lowest binding energy (− 191.05 ± 7.08 to 314.19 ± 6.88 kcal/mol), with prevalent hydrophobic interactions (− 268.25 ± 12.25 to − 418.92 ± 29.45 kcal/mol) through van der Waals forces. Therefore, this study was able to highlight the potential role of enzymes, specifically azoreductases fromBacillus megateriumH2, in predicting the decolorization of commercial dyes. These findings could contribute to our understanding of the azoreductases’ mechanisms in bioremediation and for biotechnological applications.
Refractive outcomes of immediately sequential bilateral cataract surgery in eyes with long and short axial lengths
Authors: Pollmann André S. , Nguyen Michael Trong Duc , Keyeutat Milime , Danis Éliane , Durr Georges M. , Agoumi Younes , Jabbour Samir 
Published: February 2024

Abstract
Purpose
To report the refractive outcomes of long (≥25.00 mm) and short (≤22.00 mm) axial length (AL) eyes undergoing immediately sequential bilateral cataract surgery (ISBCS).

Methods
In this retrospective cohort study, patients who underwent ISBCS were identified and eyes of patients with bilateral long and short ALs were included. Pre- and postoperative biometry, autorefraction, and ocular comorbidities or complications were recorded. The primary outcome was the mean refractive prediction error.

Results
Thirty-seven patients (74 eyes) with long ALs and 18 patients (36 eyes) with short ALs were included. The means ± standard deviations of the ALs were 26.40 ± 1.38 mm and 21.44 ± 0.46 mm in the long and short AL groups, respectively. In long AL eyes, the mean absolute error from the biometry-predicted refraction was − 0.16 ± 0.46 D, corresponding to 74% of eyes achieving a refraction within ±0.50 D of the predicted value. In short AL eyes, the mean absolute error was − 0.63 ± 0.73 D, corresponding to 44% of eyes achieving a refraction within ±0.50 D of the predicted value. Eight (44.4%) patients with short AL eyes had a myopic deviation greater than ±0.50 D from the predicted result in both eyes.

Conclusions
Compared to patients with long AL eyes, ISBCS in patients with short ALs had a wider variance in refractive outcome and a lower rate of achieving a postoperative refraction within ±0.50 D of the predicted target.