bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metatranscriptomic Insights into Microbial Network Modulation and Pathogen Dynamics Underlying Healing Outcomes in Non-Surgical Periodontal Treatment
Authors: Kobayashi Ryota , Shiba Takahiko , Nagai Takahiko , Komatsu Keiji , Matsumura Shunsuke , Watanabe Takayasu , Nemoto Takashi , Takada Koki , Takeuchi Yasuo , Iwata Takanori 
Published: January 2025

Abstract

Periodontitis is a globally prevalent chronic inflammatory disease caused by dysbiosis of the oral microbiome. However, it remains unclear whether the bacterial communities of periodontitis and its precursor, gingivitis, transition to a state resembling healthy sites with no history of periodontitis following periodontal treatment or persist in a state prone to recurrence. Therefore, in this study, we performed metatranscriptomic analysis on subgingival plaque samples from the anterior teeth in healthy, gingivitis, and periodontitis sites before and after non-surgical treatment in 28 patients. To minimize inter-individual variability, all samples were collected from the same oral cavity in each patient. We revealed a new bacteriological characteristic of periodontitis, where periodontal pathogens emerge within the bacterial network alongside excessive and skewed interactions among bacterial taxa, such as those in the Streptococcus and Actinomyces genera. Furthermore, these imbalances were found improvable through non-surgical treatment. By comparing groups in which periodontitis resolved and those in which it did not, specific bacterial taxa, such as Neisseria elongata and Rothia aeria, were suggested to play a role in the periodontitis healing process, while the increase in functional genes encoding glycine dehydrogenase β-subunit and cleaved adhesin domain was implicated in inhibiting the healing process. However, even in clinically resolved gingivitis or periodontitis, the bacterial networks did not fully revert to the state observed in healthy sites. This was due to the persistence of periodontal pathogens, absent in the networks of healthy sites. As a result, continuous maintenance and monitoring are considered important to achieve sustained periodontal health.
Utilization of GWAS to Identify Candidate SNPs and Genes Associated with Seed Weight-related Traits in Peanuts (Arachis hypogaea L.)
Authors: Chen Chengmeng , Yue Yunlai , Chen Wen , Yang Junchen , Zhang Hui 
Published: January 2025

Abstract

Seed size and weight are considered important factors influencing crop yield and they are key domestication target in the peanut breeding. Seed weight-related traits include Extra-large kernel weight (ELKW), Medium kernel weight (MKW), Normal kernel weight (NKW), and Mini kernel weight (MNKW), as well as Yield per plot (YP) and Yield per hectare (YH). However, the natural variation and genetic mechanisms underlying peanut seed weight-related traits have not yet been elucidated. In this study, phenotypic analysis of six seed weight-related traits was conducted using 102 peanut samples. Genome-wide association analysis (GWAS) was performed using 12,230 high-quality single nucleotide polymorphisms (SNPs) and the IIIVmrMLM model in R software. A total of 27 SNPs were identified, with the SNPs significantly associated with ELKW, MKW, KW, AOSTW, YR, and YC being 9, 5, 6, 5, 1, and 1, respectively. Based on the candidate regions of three peak SNPs (AX-147226318, AX-176821377, AX-147251710) that appeared repeatedly in different environments or traits, 34 candidate genes related to seed weight were identified and functionally annotated. These significant SNPs and candidate genes will help in understanding the genetic mechanisms of peanut seed-related traits and provide additional insights for the future genetic improvement of peanut germplasm and molecular marker-assisted breeding.
Improved CVMD method applied to partial discharge signal
Authors: an qi , li peixuan , an guoqing , liu dongsheng , wang su 
Published: January 2025

Abstract

Partial discharge signals are often interfered by white noise and narrowband noise, which makes it difficult to locate the partial discharge source. To tackle this intricate issue, this paper proposes an improved variational Mode Decomposition (VMD) noise reduction method. Initially, the method optimizes the VMD by employing the Crested Porcupine Optimizer (CPO). Subsequently, modal screening is carried out in accordance with a specific criterion. Finally, noise reduction is implemented through an improved 3σ method. Via noise - reduction simulation experiments, the superiority of this method is validated, and comparisons are made with several other methods, wherein this method is capable of boosting the Signal - to - Noise Ratio (SNR) by up to 50, elevating the correlation coefficient to over 0.99, and reducing the Mean Squared Error (MSE) by 99%. Meanwhile, the practicality of this method is confirmed through localization experiments.
Feasibility of Incorporating More Walking into Commuting with Public Transportation
Authors: Hadas Yuval , Katz Dan Emanuel , Rabinowitz Jonathan 
Published: January 2025

Abstract

Regular physical activity is vital for improving and maintaining overall health. Despite this, many people struggle to incorporate physical activity into their daily lives. Previous studies, based primarily on simulations and synthetic data, have reported the potential for increased walking resulting from mode shifts in public transport (PT). This suggests that it may be possible for PT commuters to meet some of their physical activity goals while commuting. PT users rely on trip planning apps, but these apps do not currently prioritize walking as part of the journey. This research is aimed at investigating the potential of more walking on PT accessibility and level of service. It is the first stage of the More Walking population-based wellness initiative aimed at facilitating more walking by modifying trip planning apps to increase walking. We examined the impact of various walking thresholds using a trip planning algorithm and conducted a study of the feasibility of increasing walking thresholds among all 2,149 commuters to the same work destination in a suburb of Tel-Aviv. We found that when more walking is introduced, more potential trips are available, more origins are covered–meaning better accessibility, waiting time is decreased, less transfers are required and that it can reduce total travel time. The results are encouraging that introducing a more walking option into a commute could be a feasible way to increase physical activity and promote wellness.
The Gaslighting at Work Scale: Development and initial validation
Authors: Katsiroumpa Aglaia , Moisoglou Ioannis , Konstantakopoulou Olympia , Tsiachri Maria , Kolisiati Antigoni , Galanis Petros 
Published: January 2025

Abstract

Introduction: Despite the growing literature on bullying, mobbing, harassment and abuse at work, the measurement of workplace gaslighting has received scarce attention. There is an absence of valid tools to measure workplace gaslighting. Given that workplace gaslighting is an alarming issue, there is a need for valid tools to measure this construct.
Aim: To develop and validate a tool to measure workplace gaslighting.
Methods: First, we performed a complete and thorough literature review to create a pool of items that could measure workplace gaslighting. Second, we employed an expert panel to assess the content validity of the initial set of our items. Third, we examined the face validity of our items by performing cognitive interviews with employees, and calculating the item-level face validity index. Fourth, we performed an item analysis for the items that were produced after the initial development phase of the Gaslighting at Work Scale (GWS). Fifth, we examined the construct validity of the GWS by performing exploratory and confirmatory factor analysis. Sixth, we examined the concurrent validity of the GWS by using the Patient Health Questionnaire-4 (PHQ-4), the Quiet Quitting Scale (QQS), the Utrecht Work Engagement Scale (UWES-3), and the Single Item Burnout (SIB) measure. Finally, we examined the reliability of the GWS by calculating Cronbach’s alpha, McDonald’s Omega, Cohen’s kappa, and intraclass correlation coefficient.
Results: Initially, we developed a pool of 32 items and, after expert panel review and item analysis, we deleted 15 items. Then, we conducted exploratory factor analysis, and we removed six items. Confirmatory factor analysis verified the results from the exploratory factor analysis. Thus, we found that the final version of the GWS includes 11 items. Moreover, we identified two factors; loss of trust (five items), and abuse of power (six items). Concurrent validity of the GWS was excellent since we found statistically significant correlations between GWS, PHQ-4, QQS, UWES-3 and SIB. Cronbach’s alpha and McDonald’s Omega for the GWS was 0.939 and 0.940, respectively. Cohen’s kappa for the 11 items ranged from 0.840 to 0.914. Intraclass correlation coefficient for the GWS was 0.997. Therefore, the reliability of the GWS was excellent.
Conclusions: The GWS is a two-factor 11-item scale with robust psychometric properties. The GWS is a short and easy-to-use tool that measures gaslighting behaviors of supervisors in a valid way. Valid identification of harmful supervisor behaviors is crucial to promote subordinates’ mental health and work productivity.
High P-T Single-Crystal Elasticity of Zircon by Brillouin Spectroscopy
Authors: Luu Arlacee , Zhou Wen-Yi , Zhong Xin , Hao Ming , Dera Przemyslaw , Zhang Jin S. 
Published: January 2025

Abstract
Understanding the natural petrologic and tectonic processes, such as slab subduction, requires accurate determination of the metamorphic pressure (P) and temperature (T) conditions of the exhumed rocks. Recent development of elastic thermobarometry based on the difference between the thermo-elastic properties of mineral inclusions and their hosts allows constraining the formation P-T conditions of the inclusion/host system without assuming thermodynamic equilibrium. However, the reliability of elastic thermobarometry heavily depends on the accurate determination of the high P-T single-crystal elastic properties of relevant minerals. In this study, we performed the first high P-T single-crystal elasticity measurements of zircon, which is one of the most common inclusion/host minerals in metamorphic rocks, using Brillouin spectroscopy at high Ps up to 7 GPa and high Ts up to 700 K. The single-crystal elastic properties of zircon at ambient conditions were determined as: ρ0 = 4.6674(4) g/cm3, Ks = 231(3) GPa, G = 108(11) GPa, C11 = 428(2) GPa, C33 = 484(3) GPa, C44 = 113.5(8) GPa, C66 = 46.9(8) GPa, C12 = 75(2) GPa, and C13 = 151(1) GPa. We also obtained the P and T derivatives of the elastic moduli as ∂Ks0/∂P = 5.0(2), ∂Ks0/∂T = −0.019(2) GPa/K, ∂G0/∂P = 0.73(6), ∂G0/∂T = −0.011(1) GPa/K. Compared with other common rock forming minerals (e.g., quartz, pyroxene, olivine), zircon is extremely incompressible (high Ks) and its stiffness (Ks) has relatively small T dependence, making it an ideal mineral for the application of elastic thermobarometry. Finally, we utilized the high P-T single-crystal elasticity data of zircon and garnet to evaluate the potential applications of zircon-garnet in elastic thermobarometry via elastic modelling.
Formation and transformation of clay minerals in Mars-analog rock varnish
Authors: Fang Qian , Li Yan , Ding Hongrui , Yang Liao , Hong Hanlie , Chen Zhong-Qiang , Deng Anbei , Geng Qile , Lu Anhuai 
Published: January 2025

Abstract
Rock varnish is widely distributed across Earth’s various climatic zones, especially prevalent in arid environments similar to Mars. Its potential presence on Mars has made it a significant Mars analog for planetary research. The primary components of rock varnish are clay minerals and iron-manganese oxyhydroxides, with clay minerals possibly playing a crucial role in the enrichment of iron and manganese. However, there has been scarce in-depth and detailed research on these clay minerals within rock varnish. To better understand the formation, transformation mechanisms, and influencing factors of clay minerals in rock varnish, this study conducted X-ray diffraction (XRD) analyses on clay minerals isolated from rock varnish samples collected across different climatic regions in China. Additionally, in situ visible to near-infrared spectroscopy (vis-NIR), scanning electron microscopy (SEM), and focused ion beam-high resolution transmission electron microscopy (FIB-HRTEM) were performed on the rock varnish samples. The results revealed the presence of illite in all rock varnish samples, while the selective occurrence of other clay minerals was closely correlated with climatic backgrounds. Furthermore, the crystallinity of illite was significantly influenced by climatic conditions. Illite found in rock varnish existed as both detrital and authigenic forms. Generally, the detrital illite in rock varnish was thicker than the nanometer-scale authigenic illite and exhibited distinct differences in chemical composition (e.g., Si/Al, K/Al ratios) and nanoscale morphology. In many cases, the possible transformation of illite to chlorite was observed, either internally within illite particles or through the formation of regular or irregular interstratified structures between illite and chlorite. Both interlayer brucitization and talc brucitization mechanisms may be involved in the chloritization (brucitization) of illite in rock varnish. Such transformations are generally uncommon in surface environments and are more frequently associated with low-grade metamorphism, suggesting that the environment at the illuminated rock surfaces, akin to metamorphic conditions, might provide the energy needed for these reactions. Considering the strong solar irradiance characteristic of Mars and its abundance of Mg, Fe-rich rocks, it is plausible to expect the continued occurrence of chloritization on the Martian surface and even within Martian rock varnish. Our findings are significant for better understanding the formation and transformation of clay minerals on Martian surface and Martian rock varnish, and climate-controlled water-rock interactions on Mars.
Organ Donation Conversations on X and Development of the OrgReach Social Media Marketing Strategy: Social Network Analysis
Authors: Ahmed Wasim , Hardey Mariann , Vidal-Alaball Josep 
Published: January 2025

Background
The digital landscape has become a vital platform for public health discourse, particularly concerning important topics like organ donation. With a global rise in organ transplant needs, fostering public understanding and positive attitudes toward organ donation is critical. Social media platforms, such as X, contain conversations from the public, and key stakeholders maintain an active presence on the platform.

Objective
The goal is to develop insights into organ donation discussions on a popular social media platform (X) and understand the context in which users discussed organ donation advocacy. We investigate the influence of prominent profiles on X and meta-level accounts, including those seeking health information. We use credibility theory to explore the construction and impact of credibility within social media contexts in organ donation discussions.

Methods
Data were retrieved from X between October 2023 and May 2024, covering a 7-month period. The study was able to retrieve a dataset with 20,124 unique users and 33,830 posts. The posts were analyzed using social network analysis and qualitative thematic analysis. NodeXL Pro was used to retrieve and analyze the data, and a network visualization was created by drawing upon the Clauset-Newman-Moore cluster algorithm and the Harel-Koren Fast Multiscale layout algorithm.

Results
This analysis reveals an “elite tier” shaping the conversation, with themes reflecting existing societal sensitivities around organ donation. We demonstrate how prominent social media profiles act as information intermediaries, navigating the tension between open dialogue and negative perceptions. We use our findings, social credibility theory, and review of existing literature to develop the OrgReach Social Media Marketing Strategy for Organ Donation Awareness. The OrgReach strategy developed is based on 5 C’s (Create, Connect, Collaborate, Correct, and Curate), 2 A’s (Access and Analyse), and 3 R’s (Recognize, Respond, and Reevaluate).

Conclusions
The study highlights the crucial role of analyzing social media data by drawing upon social networks and topic analysis to understand influence and network communication patterns. By doing so, the study proposes the OrgReach strategy that can feed into the marketing strategies for organ donation outreach and awareness.
The Long-Term Uptake of Home Spirometry in Regular Cystic Fibrosis Care: Retrospective Multicenter Observational Study
Authors: Bertram Pia , Oppelaar Martinus C , Bannier Michiel AGE , Reijers Monique HE , van der Vaart Hester , van der Meer Renske , Altenburg Josje , Conemans Lennart , Rottier Bart L , Nuijsink Marianne , van den Wijngaart Lara S , Merkus Peter JFM , Roukema Jolt 
Published: January 2025

Background
Home spirometers have been widely implemented in the treatment of people with cystic fibrosis (CF). Frequent spirometry measurements at home could lead to earlier detection of exacerbations. However, previous research indicates that the long-term use of home spirometry is not well maintained by people with CF.

Objective
We aimed to gain insight into the long-term uptake of home spirometry in regular multicenter CF care.

Methods
Home spirometers combined with a remote monitoring platform were introduced in the treatment of people with CF in 5 Dutch CF centers starting in April 2020. Usage data from April 2020 to December 2022 were analyzed retrospectively. Survival analyses were conducted to assess use consistency over time, and t tests were used to evaluate the impact of increased pulmonary symptoms on home spirometry frequency. The effect of the initiation of a new treatment, Elexacaftor/Tezacaftor/Ivacaftor, on use frequency over time was assessed in a subgroup of participants with repeated measures ANOVA.

Results
During the observation period, a total of 604 people with CF were enrolled in the remote monitoring platform and 9930 home spirometry measurements were performed. After the initiation of home spirometry use, the number of users declined rapidly. One year after the initiation, 232 (54.2%) people with CF stopped using home spirometry. During the observation period, 67 (11.1%) users performed more than 20 measurements. Furthermore, the number of consistent home spirometry users decreased over time. After 600 days, only 1% of users had measured their lung function consistently every 31 days. Use frequency slightly increased during periods with increased pulmonary symptoms (ΔMean=0.45, t497.278=–4,197; P<.001) and showed an initial rise followed by a decrease after starting treatment with Elexacaftor/Tezacaftor/Ivacaftor (ΔMean=0.45, t497.278=–4,197; P<.001).

Conclusions
Consistent uptake of home spirometry in people with CF is low but increases around periods of changing symptoms. A clear strategy for the organization of remote care seemed to improve the long-term uptake of home spirometry. Nevertheless, home spirometry and its intensity are not a goal on their own but should be used as a tool to reach individual goals within local contexts.
Diagnose eyes diseases using deep learning algorithms
Authors: Abed Z. N. , Al-Bakry A. M. 
Published: January 2025

Early diagnosis of eye illnesses is the only way to avoid blindness and to guarantee prompt treatment. A crucial part of early eye disease screening is using fundus images. However, as deep learning (DL) offers a precise classification for medical images, using these methods for fundus images makes sense. Recently, DL architectures were applied extensively to image recognition applications. In the presented study, we use DL models, like Convolutional Neural Networks (CNNs), to identify eye diseases in humans. Due to the development of DL methods, investigations on the detection of eye diseases have produced some fascinating results; nevertheless, most of them are restricted to a particular disease. Ocular Disease Intelligent Recognition dataset is used to assess the suggested approach. This has five thousand images representing eight distinct fundus classes. Those classes correspond to various eye diseases. This work will provide an illustration of the five-step recommended system for diagnosing eye problems. The first step of the model is to collect data sets. The second step is to divide the data sets into 70% for training and 30% for testing. The third step is pre-processing to enhance prediction (converting color images into gray-scale, Histogram Equalization, BLUR and resizing process). The fourth step is to use a variety of the feature extraction algorithms (SIFT and GLCM algorithms) are performed to remove redundant information and extract features from the original data, where features are extracted before they are fed into the classifier for the purpose of accelerating the classification process. In the fourth phase, this study created a CNN-based diagnostic system. Next, it features a model for the prediction of presence or absence of diseases in the patient. The findings demonstrated that the classifiers reached highest accuracy of 99.9%. In addition, we see that our best-performing model outperforms several state-of-art techniques in producing competitive outcomes.
Figuras queer do despudor: agência constrangida, raiva e masoquismo
Authors: De Avila Quevedo Wagner 
Published: January 2025

Resumo
O artigo discute inicialmente em que termos o debate sobre agência e sujeição se insere no campo das dissidências [1]; aborda o problema de uma agência constrangida, por meio da qual a sexualidade rechaçada funda o discurso melancólico [2]; propõe a raiva queer como a estilização política da perda melancólica dirigida como acusação das condições de opressão [3]; apresenta uma abordagem alternativa que aposta na passividade queer radical e masoquista como gesto possível no interior do poder e do discurso [4]; e conclui, provisoriamente, com a formulação do despudor como disposição política através da qual os problemas discutidos podem ser organizados enquanto figuras do enfrentamento das opressões.
Palavras-chave: agência; sujeição; melancolia; raiva queer; passividade queer; despudor.
Abstract
The article initially discusses in which terms it is possible to understand agency and subjection within dissidence [1]; it addresses the problem of a constrained agency, in which the rejected sexuality founds the melancholic discourse [2]; it proposes furthermore queer rage as political stylization of melancholic loss in terms of an accusation against oppression [3]; it presents an alternative approach in terms of a radical queer and masochistic passivity as possible gesture within power and discourse

Keywords: agency; subjection; melancholy; queer anger; queer passivity; shamelessness.