bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is the third molar the most frequently extracted tooth? A population-based study utilizing dental panoramic radiographs in adults
Authors: Ventä Irja , Snäll Johanna , Rice David P , Suominen Anna Liisa 
Published: July 2024

Abstract
Objectives
The study aimed to examine the authenticity of the often-mentioned statement that the third molar is the most frequently extracted tooth. This finding has not been shown previously in a large population-based sample.

Materials and methods
Data comprised a nationally representative sample of 6082 panoramic radiographs taken from adults in the cross-sectional Health 2000 Survey. From the radiographs, all missing teeth were recorded. Information on congenital agenesis of individual teeth was retrieved from two published meta-analyses. Primary outcome was the frequency of missing teeth by tooth type. Explanatory variables were age, sex, and the jaw (maxilla/mandible). Statistical analyses included χ2 test and binomial logistic regression.

Results
Mean age of participants (46% men, 54% women) was 53 years (SD 14.6; range 30‒97 years). Missing teeth occurred more often in women than in men (P < 0.001). The third molar was most frequently missing and the canine least frequently. In the maxilla and mandible, the third molar was missing more often than each of the other tooth types up to the age of 80 years (P < 0.01).

Conclusions
When considering the rates of congenital agenesis of individual teeth, it is concluded that the third molar remained the most common tooth extracted up till the age of 80 years.

Clinical relevance
The third molar is the most common target for extraction, but also the most common tooth associated with malpractice claims, and therefore, calls for skills, adequate equipment, and other resources for a successful extraction.
Retrospective assessment of ICD-10/DSM-5 criteria of childhood ADHD from descriptions of academic and social behaviors in German primary school reports
Authors: Waltereit Johanna , Schulte-Rüther Martin , Roessner Veit , Waltereit Robert 
Published: July 2024

Abstract

Background
The diagnosis of attention-deficit/hyperactivity disorder (ADHD) in adolescence and adulthood is particularly challenging because retrospective confirmation of previous childhood ADHD is mandatory. Therefore, collecting valid diagnostic information about behavior at school is important. Primary school reports often contain descriptions of academic performance and social behaviors associated with ADHD criteria. Yet, there is no systematic approach available how to assess such reports quantitatively, and therefore, there is also no study on how valid such an approach could predict an ADHD diagnosis.

Methods
We examined primary school reports from Germany (ADHD: n = 1197, typically developing controls: n = 656) for semantic references to ICD-10/DSM-5 main and sub-criteria of ADHD. Descriptions were assessed on a quantitative scale (blinded clinical expert rating) for disorder-associated behaviors (symptoms scale) as well as for desired, adaptive behaviors (competencies scale) according to these criteria. The scores of these developed scales have been summarized to summary scores. Scores were analyzed using linear mixed models, and sensitivity and specificity were estimated using receiver operating characteristics (ROC).

Results
Ratings showed highly significant differences between school reports of children with and without ADHD. For the summary scores, both symptoms and competencies scales showed high diagnostic accuracy (ROC area under the curve at least 0.96) with best discrimination when combining both into an integrated index (sensitivity and specificity > 0.97).

Conclusions
Our findings suggest that systematic quantitative analysis of primary school reports should be further explored to construct a valid instrument for retrospective assessment of childhood ADHD criteria to aid the diagnostic process in adolescents and adults.
RadImageNet and ImageNet as Datasets for Transfer Learning in the Assessment of Dental Radiographs: A Comparative Study
Authors: Okazaki Shota , Mine Yuichi , Yoshimi Yuki , Iwamoto Yuko , Ito Shota , Peng Tzu-Yu , Nishimura Taku , Suehiro Tomoya , Koizumi Yuma , Nomura Ryota , Tanimoto Kotaro , Kakimoto Naoya , Murayama Takeshi 
Published: July 2024

Abstract
Transfer learning (TL) is an alternative approach to the full training of deep learning (DL) models from scratch and can transfer knowledge gained from large-scale data to solve different problems. ImageNet, which is a publicly available large-scale dataset, is a commonly used dataset for TL-based image analysis; many studies have applied pre-trained models from ImageNet to clinical prediction tasks and have reported promising results. However, some have questioned the effectiveness of using ImageNet, which consists solely of natural images, for medical image analysis. The aim of this study was to evaluate whether pre-trained models using RadImageNet, which is a large-scale medical image dataset, could achieve superior performance in classification tasks in dental imaging modalities compared with ImageNet pre-trained models. To evaluate the classification performance of RadImageNet and ImageNet pre-trained models for TL, two dental imaging datasets were used. The tasks were (1) classifying the presence or absence of supernumerary teeth from a dataset of panoramic radiographs and (2) classifying sex from a dataset of lateral cephalometric radiographs. Performance was evaluated by comparing the area under the curve (AUC). On the panoramic radiograph dataset, the RadImageNet models gave average AUCs of 0.68 ± 0.15 (p < 0.01), and the ImageNet models had values of 0.74 ± 0.19. In contrast, on the lateral cephalometric dataset, the RadImageNet models demonstrated average AUCs of 0.76 ± 0.09, and the ImageNet models achieved values of 0.75 ± 0.17. The difference in performance between RadImageNet and ImageNet models in TL depends on the dental image dataset used.
Implementation of a slope stability method in the CRITERIA-1D agro-hydrological modeling scheme
Authors: Sannino G. , Tomei F. , Bittelli M. , Bordoni M. , Meisina C. , Valentino R. 
Published: July 2024

AbstractThis paper presents the implementation of a slope stability method for rainfall-induced shallow landslides in CRITERIA-1D, which is an agro-hydrological model based on Richards’ equation for transient infiltration and redistribution processes. CRITERIA-1D can simulate the presence and development of roots and canopies over space and time, the regulation of transpiration activity based on real meteorological data, and the evaporation reduction caused by canopies. The slope can be considered composed of a multi-layered soil, leading to the possibility of simulating the bedrock and of setting an initial water table level. CRITERIA-1D can consider different soil horizons characterized by different hydraulic conductivities and soil water retention curves, thus allowing the simulation of capillarity barriers. The validation of the proposed physically based slope stability model was conducted through the simulation of the collected water content and water potential data of an experimental slope. The monitored slope is located close to Montuè, in the north-eastern sector of Oltrepò Pavese (northern Apennines—Italy). Just close to the monitoring station, a shallow landslide occurred in 2014 at a depth of around 100 cm. The results show the utility of agro-hydrological modeling schemes in modeling the antecedent soil moisture condition and in reducing the overestimation of landslides events detection, which is an issue for early warning systems and slope management related to rainfall-induced shallow landslides. The presented model can be used also to test different bioengineering solutions for slope stabilization, especially when data about rooting systems and plant physiology are known.
Enabling and inhibiting doctors transitions: introducing the social identity resource and belonginess model (SIRB)
Authors: Scanlan Gillian M. , Gordon Lisi , Walker Kim , Pope Lindsey 
Published: July 2024

AbstractThe transition into postgraduate medical training is complex, requiring an integration into the workplace, adjustment to new identities, and understanding of the social and organisational structure of healthcare. Studies suggest that social resources, including a sense of belonging, inclusivity from social groups, and having strong social identities can facilitate positive transitions. However, little is known about the role these resources play in junior doctors’ transitions into the healthcare community. This study aimed to explore the implications of having access to social resources for junior doctors. This study undertook secondary analysis from a longitudinal qualitative study which followed 19 junior doctors (residents within two years of qualification) for nine months. Data were thematically analysed using an abductive approach, with the social identity resource and belongingness (SIRB) model as a conceptual lens to explore how social networks of support act as identity resources (IRs) for junior doctors as they experience transitions. The doctors narrated that having accessible IRs in the form of supportive workplace relationships enabled an integration and a sense of belonging into healthcare practice, supported the construction of new professional identities, and strengthened career intentions. Those with inaccessible IRs (i.e. poor workplace relationships) expressed a lack of belonging, and casted doubt on their identity as a doctor and their career intentions. Our study indicates that SIRB model would be beneficial for medical educators, supervisors, and managers to help them understand the importance and implications of having IRs within the workplace environment and the consequences of their accessibility for healthcare staff experiencing transitions.
Disrupting the Path from Depression to Loneliness: Multilevel Resilience among Older Sexual Minority Men with and without HIV
Authors: Jesus Maria De , Ware Deanna , Meanley Steven , Brennan-Ing Mark , Okafor Chukwuemeka N , Shoptaw Steve , Haberlen Sabina , Stosor Valentina , Friedman M. Reuel , Plankey Michael 
Published: July 2024

AbstractExisting studies examining resilience among sexual minority men (SMM) have been limited by only analyzing 1 level of resilience. We therefore investigated the impact of multiple levels of resilience on the bidirectional relationship between loneliness and depression symptoms among older SMM. Loneliness, depression symptoms, and multilevel resilience scores were collected across 3 time points (October 2016 to March 2017 [T1]; October 2017 to March 2018 [T2]; and October 2018 to March 2019 [T3]) among 1,264 SMM aged 40 years and older living with and without HIV. Longitudinal mediation models were used to test the mediating effect of the multilevel resilience factors at T2 on the bidirectional relationship between loneliness and depression symptoms, adjusting for sociodemographic covariates. The multilevel resilience factors were negatively associated with loneliness and depression symptoms at T1. The individual-level global resilience factor was associated with decreased odds of depression symptoms (odds ratio [OR] = 0.50; 95% CI, 0.32–0.78), while the interpersonal-level relationship confidence (OR = 0.43; 95% CI, 0.24–0.77) and reliability (OR = 0.36; 95% CI, 0.15–0.84) factors were associated with decreased odds of loneliness at T3. The total effect of loneliness at T1 on depressive symptoms at T3 was β = 0.20 (95% CI, 0.11–0.28) and was reduced to β = 0.08 (95% CI, -0.04 to 0.20) after the inclusion of the multilevel resilience factors. The total effect of depressive symptoms at T1 on loneliness at T3 was similar (β = 0.21; 95% CI, 0.13–0.28) with the direct effect of β = 0.01 (95% CI, -0.08 to 0.11) after the inclusion of the multilevel resilience factors. Regarding specific indirect effects, individual-level global resilience (depression symptoms at T3 only) as well as the interpersonal-level relationship reliability and confidence (loneliness at T3 model only) factors were statistically significant. Multilevel resilience factors mediated the bidirectional relationship between loneliness and depression symptoms. Mental health interventions should consider implementing resilience-informed strategies that mitigate depression symptoms and loneliness among older SMM.
Parameter extension of q-divergence-based fuzzy c-means clustering
Authors: Kanzawa Yuchi 
Published: July 2024

AbstractIn this study, we propose a fuzzy clustering algorithm for vectorial data, which is constructed by extending the fuzzification parameters in the q-divergence-based fuzzy c-means algorithm (QFCM). The proposed algorithm, referred to as extended QFCM (eQFCM), is an extension of both QFCM and the penalized fuzzy c-means algorithm proposed by Yang, referred to as Y-type FCM (YFCM). eQFCM extends both the two-parameter QFCM and YFCM algorithms to a four-parameter model. Through numerical experiments using an artificial dataset, we substantiate the theoretical discussion, and the effects of fuzzification parameter to clustering results are observed. Furthermore, the results of some numerical experiments using real datasets are presented to demonstrate that the proposed algorithm outperformed both QFCM and YFCM algorithms in terms of clustering accuracy.
Transformation of coastal wetlands in the Sundarban Delta (1999–2020)
Authors: Roy Shouraseni Sen , Ghosh Tuhin , Hewavithana Dishane K. 
Published: July 2024

AbstractSpanning across Bangladesh and India, the Sundarban Delta consists of over a thousand islands, the majority of which are protected. These islands are important for the rich biodiversity and unique species found here. However, these islands are also at the forefront of climate change due to the impact of rising sea levels and extreme weather events. Therefore, we analyzed the long-term transformations in the land use land cover (LULC) between 1999 and 2020. We used a variety of geostatistical methods, including optimized hot spots cold spots and join count statistics, to examine the spatial patterns of changes in LULC across the study area. The results of our analysis revealed substantial changes in the spatial patterns of mangroves and pond aquaculture. The changes revealed a distinct north–south demarcation in spatial patterns, in the form of clustering of mangroves in the uninhabited islands located in the south and pond aquaculture clustered in the northern inhabited islands. The loss of area under mangroves was concentrated in the southern edges of the islands, which were most exposed to erosion in the open ocean. Nevertheless, we observed an increase in the area under mangroves in some of the northern riverine islands (17 km2). In the case of pond aquaculture, it was mostly concentrated in inhabited islands in the north. Most of the expansions were concentrated in the Indian part of the delta (631 km2). It is noteworthy that because of effective conservation measures, there was very limited overlap between mangroves and pond aquaculture, denoting the conversion of agricultural land to pond aquaculture instead of mangroves. Thus, the results of our study revealed the importance of local level conservation policies and anthropogenic activities, such as deforestation and local level disturbance like over-extraction of water and pollution, on the changing patterns of LULC across this unique, fragile ecosystem. Future studies may incorporate a finer resolution time series of LULC changes over time and space to enable more detailed analysis.
Narrative based online career group counseling program: an explanatory sequential design
Authors: Özaydın Sercan , Siyez Diğdem M. 
Published: July 2024

AbstractThe aim of this study is to determine the effect of the Narrative Based Online Career Group Counseling Program on the career exploration, career and talent development self-efficacy, and career development of fourth grade primary school students. An explanatory sequential mixed-method design was used in the study. A 2 × 3 quasiexperimental design was used in the quantitative part, and a focus group interview was used in the qualitative part. The results showed that the program had a significant impact and could support career development in children. Thus, a career program with proven effectiveness that can be implemented in schools has been emerged.
Smoke and Fire. Sign Inference in Greek and in Indian Epistemology
Authors: Aklan A. K. 
Published: July 2024

Abstract“Wherever there is smoke there must be fire.” In 1957, Aram M. Frenkian noticed that both ancient Greek and Indian philosophy makes use of the smoke-fire analogy as a model for inferential reasoning. He postulated that Greek use of the example reflected Indian influence on Greek philosophy which was mediated through the works of Pyrrho, the founder of Sceptisicm, who had accompanied Alexander the Great on his Indian campaign (327-5 BCE) and learnt from Indian sages (‘gymnosophists’ as the Greeks called them). More recent scholarship mainly shares his views. In the present paper, I argue that the smoke-fire example formed part of a complex theory of sign inference, and that not only the isolated analogy, but the theory as a whole which it illustrates is present in both cultures. Furthermore, the variants of this theory comprise such close and extended similarities that they must be the result of direct contact between Indian and Greek thinkers, although it is impossible to decide whether they stem from a common origin, or are the result of influence from one culture to the other.
Advance comprehensive analysis for Zigbee network-based IoT system security
Authors: Kumar Manish , Yadav Vibhash , Yadav Satya Prakash 
Published: July 2024

AbstractZigbee is a wireless network technology that operates on a community-based infrastructure. The primary objective of this system is to allow for the effective and inexpensive transmission of information across intelligent devices, focusing on minimizing latency and addressing potential challenges. The prominence of security risks related to the Zigbee community has escalated due to the expanded implementation of Zigbee technology. The Zigbee community has implemented measures to mitigate network disruptions, prevent unauthorized access, and protect against the interception of statistical data. A plethora of encryption algorithms have been developed. The encryption technologies employed encompass a 128-bit Advanced Encryption Standard (AES) to encrypt data during transfer. Cryptographically safe protocols (CSPs) are implemented to ensure safe connections and authentication. This research introduces an innovative methodology for assessing the security of Zigbee community-based Internet of Things (IoT) systems. This article thoroughly examines the security concerns associated with Zigbee technology. Adopting intelligent design concepts in the construction of IoT devices facilitates the implementation of robust security measures and reliable detection systems to mitigate potential assaults. The system can implement access control mechanisms based on authentication, guaranteeing the secure management of devices, networks, and protocols and facilitating the secure installation of software updates.
Training to Act FAIR: A Pre-Post Study on Teaching FAIR Guiding Principles to (Future) Researchers in Higher Education
Authors: Priess-Buchheit Julia , Hermeking Noémie , Möbius Thomas W. D. 
Published: July 2024

AbstractThe scientific community has tried to implement the FAIR guiding principles to foster open science actions in data-driven research in higher education since 2016. However, what strategies work and do not in fostering open science actions still need to be determined. This article is the first step to closing this research gap by examining one strategy, the effectiveness of FAIR training in higher education. With a pre-post test design, the study evaluates the short-term effectiveness of FAIR training on students’ scientific suggestions and justifications in line with FAIR’s guiding principles. The study also assesses the influence of university legal frameworks on students’ inclination towards FAIR training. Before FAIR training, 81.1% of students suggested that scientific actions were not in line with the FAIR guiding principles. However, there is a 3.75-fold increase in suggestions that adhere to these principles after the training. Interestingly, the training does not significantly impact how students justify FAIR actions. The study observes a positive correlation between the presence of university legal frameworks on FAIR guiding principles and students’ inclination towards FAIR training. The study underscores the training potential in driving the transition towards open science actions in higher education and shows how much university legal frameworks can push toward such training. Students rate FAIR training as very useful and satisfactory. Important learning factors in effective FAIR training seem to be creating a safe space, letting students contribute, and encouraging students to engage in the training. However, the study also reveals the need for further training improvement, particularly in enhancing students’ ability to justify FAIR actions.
Performance evaluation of SILAR deposited Rb-Doped ZnO thin films for photodetector applications
Authors: Tekin Sezen , Unveroglu Abdioglu Begum , Karaduman Er Irmak , Acar Selim 
Published: July 2024

AbstractZnO-based photodetectors (PDs) compose a remarkable optoelectronic device field due to their high optical transmittance, electrical conductivity, wide band gap, and high binding energy. This study examined the visible light photodetector performance of the pristine and Rubidium (Rb)-doped ZnO thin films. The influence of Rb doping amount (2, 4, and 6 wt% in solution) on the electrical, optical, and structural properties of the ZnO-based thin films produced by the Successive Ion Layer Adsorption and Reaction (SILAR) technique was analyzed. Structural analyses showed that all peaks correspond to hexagonal wurtzite structure with no other peak from Rb-based phases, suggesting the high quality of the crystalline pristine and Rb-doped ZnO thin films. The morphology of the thin films shows homogenous layers formed of nanoparticles where particle size was first decreased and then increased with the increasing Rb doping according to Scanning Electron Microscope (SEM) morphology analysis. Besides that, Raman spectroscopy analyses indicate that the phonon lifetimes of the ZnO-based thin films slightly increased due to the improvement of the crystal quality with the increasing amount of Rb in the SILAR solution. Photosensor measurements of the nanostructured pristine and Rb-doped ZnO thin films were measured at different light power intensities under the visible light environment. Photosensor properties were examined depending on the doping amount and light power density. In light of the literature review, our study is the first to produce Rb-doped ZnO thin films via the SILAR method, which has a promising potential for photosensor applications.
Graphical Abstract
Absolutely continuous edge spectrum of topological insulators with an odd time-reversal symmetry
Authors: Bols Alex , Cedzich Christopher 
Published: July 2024

AbstractWe show that non-trivial two-dimensional topological insulators protected by an odd time-reversal symmetry have absolutely continuous edge spectrum. To accomplish this, we establish a time-reversal symmetric version of the Wold decomposition that singles out extended edge modes of the topological insulator.