bluuebunny/crossref_metadata_2025_split huggingface dataset:
Excitatory stimulation of the ventromedial prefrontal cortex reduces cognitive gambling biases via improved feedback learning
Authors: Kroker Thomas , Wyczesany Miroslaw , Rehbein Maimu Alissa , Roesmann Kati , Wessing Ida , Wiegand Anja , Bölte Jens , Junghöfer Markus 
Published: October 2023

AbstractHumans are subject to a variety of cognitive biases, such as the framing-effect or the gambler's fallacy, that lead to decisions unfitting of a purely rational agent. Previous studies have shown that the ventromedial prefrontal cortex (vmPFC) plays a key role in making rational decisions and that stronger vmPFC activity is associated with attenuated cognitive biases. Accordingly, dysfunctions of the vmPFC are associated with impulsive decisions and pathological gambling. By applying a gambling paradigm in a between-subjects design with 33 healthy adults, we demonstrate that vmPFC excitation via transcranial direct current stimulation (tDCS) reduces the framing-effect and the gambler's fallacy compared to sham stimulation. Corresponding magnetoencephalographic data suggest improved inhibition of maladaptive options after excitatory vmPFC-tDCS. Our analyses suggest that the underlying mechanism might be improved reinforcement learning, as effects only emerge over time. These findings encourage further investigations of whether excitatory vmPFC-tDCS has clinical utility in treating pathological gambling or other behavioral addictions.
Spin-polarized Majorana zero modes in proximitized superconducting penta-silicene nanoribbons
Authors: Bento Ribeiro R. C. , Correa J. H. , Ricco L. S. , Shelykh I. A. , Continentino Mucio A. , Seridonio A. C. , Minissale M. , Le Lay G. , Figueira M. S. 
Published: October 2023

AbstractWe theoretically propose penta-silicene nanoribbons (p-SiNRs) with induced p-wave superconductivity as a platform for the emergence of spin-polarized Majorana zero-modes (MZMs). The model explicitly considers the key ingredients of well-known Majorana hybrid nanowire setups: Rashba spin-orbit coupling, magnetic field perpendicular to the nanoribbon plane, and first nearest neighbor hopping with p-wave superconducting pairing. The energy spectrum of the system, as a function of chemical potential, reveals the existence of MZMs with a well-defined spin orientation localized at the opposite ends of both the top and bottom chains of the p-SiNR, associated with well-localized and nonoverlapping wave function profiles. Well-established experimental techniques enable the fabrication of highly ordered p-SiNRs, complemented by a thin lead film on top, responsible for inducing p-wave superconductivity through proximity effect. Moreover, the emergence of MZMs with explicit opposite spin orientations for some set of model parameters opens a new avenue for exploring quantum computing operations, which accounts for both MZMs and spin properties, as well as for new MZMs probe devices based on spin-polarized electronic transport mechanisms.
Bayesian regression versus machine learning for rapid age estimation of archaeological features identified with lidar at Angkor
Authors: Carleton W. Christopher , Klassen Sarah , Niles-Weed Jonathan , Evans Damian , Roberts Patrick , Groucutt Huw S. 
Published: October 2023

AbstractLidar (light-detection and ranging) has revolutionized archaeology. We are now able to produce high-resolution maps of archaeological surface features over vast areas, allowing us to see ancient land-use and anthropogenic landscape modification at previously un-imagined scales. In the tropics, this has enabled documentation of previously archaeologically unrecorded cities in various tropical regions, igniting scientific and popular interest in ancient tropical urbanism. An emerging challenge, however, is to add temporal depth to this torrent of new spatial data because traditional archaeological investigations are time consuming and inherently destructive. So far, we are aware of only one attempt to apply statistics and machine learning to remotely-sensed data in order to add time-depth to spatial data. Using temples at the well-known massive urban complex of Angkor in Cambodia as a case study, a predictive model was developed combining standard regression with novel machine learning methods to estimate temple foundation dates for undated Angkorian temples identified with remote sensing, including lidar. The model’s predictions were used to produce an historical population curve for Angkor and study urban expansion at this important ancient tropical urban centre. The approach, however, has certain limitations. Importantly, its handling of uncertainties leaves room for improvement, and like many machine learning approaches it is opaque regarding which predictor variables are most relevant. Here we describe a new study in which we investigated an alternative Bayesian regression approach applied to the same case study. We compare the two models in terms of their inner workings, results, and interpretive utility. We also use an updated database of Angkorian temples as the training dataset, allowing us to produce the most current estimate for temple foundations and historic spatiotemporal urban growth patterns at Angkor. Our results demonstrate that, in principle, predictive statistical and machine learning methods could be used to rapidly add chronological information to large lidar datasets and a Bayesian paradigm makes it possible to incorporate important uncertainties—especially chronological—into modelled temporal estimates.
High glucose promotes benign prostatic hyperplasia by downregulating PDK4 expression
Authors: Wei Pengyu , Lin Dongxu , Luo Changcheng , Zhang Mengyang , Deng Bolang , Cui Kai , Chen Zhong 
Published: October 2023

AbstractAs men age, a growing number develop benign prostatic hyperplasia (BPH). According to previous research, diabetes may be a risk factor. Pyruvate dehydrogenase kinase 4 (PDK4) is closely related to glucose metabolism and plays a role in the onset and progression of numerous illnesses. This study aimed to determine the direct effects of high glucose environment on prostate epithelial cells, in particular by altering PDK4 expression levels. In this investigation, normal prostatic epithelial cells (RWPE-1) and human benign prostatic hyperplasia epithelial cells (BPH-1) were treated with 50 mM glucose to show the alteration of high glucose in prostate cells. PDK4-target siRNA, PDK4-expression plasmid were used to investigate the effects of PDK4. Rosiglitazone (RG), a PPARγ agonist, with the potential to up-regulate PDK4 expression was also used for treating prostate cells. The expression of PDK4 in human prostate samples was also analyzed. The effects of high glucose therapy on BPH-1 and RWPE-1 cells were demonstrated to enhance proliferation, epithelial-mesenchymal transition (EMT), suppress apoptosis, and down-regulate PDK4 expression. Additionally, diabetes-related BPH patients had reduced PDK4 expression. Following the application of PDK4-target siRNA, a comparable outcome was seen. The PDK4-expression plasmid therapy, however, produced the opposite results. RG with the ability to elevate PDK4 expression might be used to treat BPH. Changes in the metabolism of lipids and glucose may be the cause of these consequences. These findings showed that high glucose treatment might facilitate BPH development, and may be related to the down-regulation of PDK4. PDK4 might be a potential therapeutic target of BPH.
Enhanced removal of organic dyes from aqueous solutions by new magnetic HKUST-1: facile strategy for synthesis
Authors: Mohammadnejad Masoumeh , Nekoo Niosha Mokhtari , Alizadeh Sedighe , Sadeghi Soosan , Geranmayeh Shokoofeh 
Published: October 2023

AbstractA novel, magnetic HKUST-1 MOF based on MgFe2O4-NH2 was designed and synthesized in two steps and applied effective removal of malachite green (MG), crystal violet (CV), and methylene blue (MB) from water samples. Characterization of the newly synthesized MgFe2O4-NH2-HKUST-1 was performed by various techniques such as Fourier transform infrared spectroscopy, X-ray diffraction, Field emission scanning electron microscopy, Brunauer–Emmett–Teller, Thermal gravimetric analysis, and Vibration sampling magnetometry. Malachite green, crystal violet and methylene blue are toxic and mutagenic dyes that can be released into the water in different ways and cause many problems for human health and the environment. The removal of malachite green, crystal violet, and methylene blue from aqueous solutions was investigated using the magnetic HKUST-1 in this research. The effect of various parameters such as pH, amount of sorbent, dye concentration, temperature, and contact time on dye removal has been studied. The results showed that more than 75% of dyes were removed within 5 min. Adsorption isotherms, Kinetic, and thermodynamic studies were investigated. The results of this study show that adsorption capacity of the magnetic adsorbent is equal to 108.69 mg g−1 for MG, 70.42 mg g−1 for CV, and 156.25 mg g−1 for MB. This study shows the good strategy for the synthesis of the functionalized magnetic form of HKUST-1 and its capability for increasing the efficiency of the removal process of malachite green, crystal violet, and methylene blue from an aqueous solution.
Unraveling the connections between gut microbiota, stress, and quality of life for holistic care in newly diagnosed breast cancer patients
Authors: Lee Chi-Chan , Yang Horng-Woei , Liu Chih-Ju , Lee Fang , Ko Wen-Ching , Chang Yuan-Ching , Yang Po-Sheng 
Published: October 2023

AbstractThere is little research about the stress, quality of life (QOL) and gut microbiota in newly diagnosed breast cancer patients. In this study addressing the dearth of research on stress, quality of life (QOL), and gut microbiota in newly diagnosed breast cancer patients, 82 individuals were prospectively observed. Utilizing the Functional Assessment of Chronic Illness Therapy (FACT)-Breast questionnaire to assess health-related quality of life (HRQOL) and the Distress Thermometer (DT) to gauge distress levels, the findings revealed a mean FACT-B score of 104.5, underscoring HRQOL's varied impact. Significantly, 53.7% reported moderate to severe distress, with a mean DT score of 4.43. Further exploration uncovered compelling links between distress levels, FACT-B domains, and microbial composition. Notably, Alcaligenaceae and Sutterella were more abundant in individuals with higher DT scores at the family and genus levels (p = 0.017), while Streptococcaceae at the family level and Streptococcus at the genus level were prevalent in those with lower DT scores (p = 0.028 and p = 0.023, respectively). This study illuminates the intricate interplay of stress, QOL, and gut microbiota in newly diagnosed breast cancer patients, offering valuable insights for potential interventions of biomarker or probiotics aimed at alleviating stress and enhancing QOL in this patient cohort.
Amharic political sentiment analysis using deep learning approaches
Authors: Alemayehu Fikirte , Meshesha Million , Abate Jemal 
Published: October 2023

AbstractThis study delves into the realm of sentiment analysis in the Amharic language, focusing on political sentences extracted from social media platforms in Ethiopia. The research employs deep learning techniques, including Convolutional Neural Networks (CNN), Bidirectional Long Short-Term Memory (Bi-LSTM), and a hybrid model combining CNN with Bi-LSTM to analyze and classify sentiments. The hybrid CNN-Bi-LSTM model emerges as the top performer, achieving an impressive accuracy of 91.60%. While these results mark a significant milestone, challenges persist, such as the need for a more extensive and diverse dataset and the identification of nuanced sentiments like sarcasm and figurative speech. The study underscores the importance of transitioning from binary sentiment analysis to a multi-class classification approach, enabling a finer-grained understanding of sentiments. Moreover, the establishment of a standardized corpus for Amharic sentiment analysis emerges as a critical endeavor with broad applicability beyond politics, spanning domains like agriculture, industry, tourism, sports, entertainment, and satisfaction analysis. The exploration of sarcastic comments in the Amharic language stands out as a promising avenue for future research.
The crosstalk between glomerular endothelial cells and podocytes controls their responses to metabolic stimuli in diabetic nephropathy
Authors: Albrecht Michael , Sticht Carsten , Wagner Tabea , Hettler Steffen A. , De La Torre Carolina , Qiu Jiedong , Gretz Norbert , Albrecht Thomas , Yard Benito , Sleeman Jonathan P. , Garvalov Boyan K. 
Published: October 2023

AbstractIn diabetic nephropathy (DN), glomerular endothelial cells (GECs) and podocytes undergo pathological alterations, which are influenced by metabolic changes characteristic of diabetes, including hyperglycaemia (HG) and elevated methylglyoxal (MGO) levels. However, it remains insufficiently understood what effects these metabolic factors have on GEC and podocytes and to what extent the interactions between the two cell types can modulate these effects. To address these questions, we established a co-culture system in which GECs and podocytes were grown together in close proximity, and assessed transcriptional changes in each cell type after exposure to HG and MGO. We found that HG and MGO had distinct effects on gene expression and that the effect of each treatment was markedly different between GECs and podocytes. HG treatment led to upregulation of “immediate early response” genes, particularly those of the EGR family, as well as genes involved in inflammatory responses (in GECs) or DNA replication/cell cycle (in podocytes). Interestingly, both HG and MGO led to downregulation of genes related to extracellular matrix organisation in podocytes. Crucially, the transcriptional responses of GECs and podocytes were dependent on their interaction with each other, as many of the prominently regulated genes in co-culture of the two cell types were not significantly changed when monocultures of the cells were exposed to the same stimuli. Finally, the changes in the expression of selected genes were validated in BTBR ob/ob mice, an established model of DN. This work highlights the molecular alterations in GECs and podocytes in response to the key diabetic metabolic triggers HG and MGO, as well as the central role of GEC-podocyte crosstalk in governing these responses.
Microvascular proliferation is associated with high tumour blood flow by mpMRI and disease progression in primary prostate cancer
Authors: Børretzen Astrid , Reisæter Lars A. R. , Ringheim Anders , Gravdal Karsten , Haukaas Svein A. , Fasmer Kristine E. , Haldorsen Ingfrid H. S. , Beisland Christian , Akslen Lars A. , Halvorsen Ole J. 
Published: October 2023

AbstractActive angiogenesis may be assessed by immunohistochemistry using Nestin, a marker of newly formed vessels, combined with Ki67 for proliferating cells. Here, we studied microvascular proliferation by Nestin-Ki67 co-expression in prostate cancer, focusing on relations to quantitative imaging parameters from anatomically matched areas obtained by preoperative mpMRI, clinico-pathological features and prognosis. Tumour slides from 67 patients (radical prostatectomies) were stained for Nestin-Ki67. Proliferative microvessel density (pMVD) and presence of glomeruloid microvascular proliferation (GMP) were recorded. From mpMRI, forward volume transfer constant (Ktrans), reverse volume transfer constant (kep), volume of EES (ve), blood flow, and apparent diffusion coefficient (ADC) were obtained. High pMVD was associated with high blood flow (p = 0.008) and low ADC (p = 0.032). High Ktrans, kep, and blood flow were associated with high Gleason score. High pMVD, GMP, and low ADC were associated with most adverse clinico-pathological factors. Regarding prognosis, high pMVD, Ktrans, kep, and low ADC were associated with reduced biochemical recurrence-free- and metastasis-free survival (p ≤ 0.044) and high blood flow with reduced time to biochemical- and clinical recurrence (p < 0.026). In multivariate analyses however, microvascular proliferation was a stronger predictor compared with blood flow. Indirect, dynamic markers of angiogenesis from mpMRI and direct, static markers of angiogenesis from immunohistochemistry may aid in the stratification and therapy planning of prostate cancer patients.
Development of an Operational Digital Twin of a Locomotive Parking Brake for Fault Diagnosis
Authors: Davidyan Gabriel , Bortman Jacob , Kenett Ron S. 
Published: October 2023

AbstractIn recent years, a growing role in digital technologies has been filled by model-based digital twinning. A digital twin produces a one-to-one mapping of a physical structure, operating in the digital domain. Combined with sensor technology and analytics, a digital twin can provide enhanced monitoring, diagnostic, and optimization capabilities. This research harnesses the significant capabilities of digital twining for the unmitigated challenge of fault type classification of a locomotive parking brake. We develop a digital twin of the locomotive parking brake and suggest a method for fault type classification based on the digital twin. The diagnostic ability of the method is demonstrated on a large experimental dataset.
Influence of shift work on periodontitis according to the occupation group
Authors: Jung Seok-Ki , Lim Ho-Kyung , Jeong Yujin , Lee Sung Jae , Park Jung Soo , Song In-Seok 
Published: October 2023

AbstractThis study aimed to investigate the effects of shift work on periodontal disease in blue-and white-collar workers and to examine the interaction effects between occupation and work patterns. Data were collected from the Korea National Health and Nutrition Examination Survey conducted by the Korean Ministry of Health and Welfare for a total of nine years from 2007 to 2015. Participants with missing outcome variables were excluded from the analysis and a total of 32,336 participants were included in the final analysis. Univariable odds ratios (OR) were calculated using a logistic regression model with 95% confidence interval (CI). A multivariable logistic regression analysis was performed using the backward elimination method. The CONTRAST statement was used to analyze the interaction effect between occupation and work patterns. Multivariable logistic regression analysis revealed that interaction effects are present between the terms, occupational type and work pattern. Crude OR of shift work for periodontitis was 1.269 [CI 1.213–1.327, P < 0.05]. However, following adjustment for multiple confounding factors and the interaction effect term considered, this OR (1.269) increased to 1.381 [CI 1.253–1.523] in white-collar group while it decreased to 1.198 [1.119–1.283] in blue-collar. Crude OR of blue-collar (OR = 3.123, CI 2.972–3.281, P < 0.05) decreased to 1.151 [CI 1.049–1.262] when interaction effect to the shift work was considered. Shift work pattern increases the risk for periodontitis and this adverse effect is greater when white-collar workers are engaged comparing to blue-collar. The result of this study suggests that 24/7 lifestyle of the modern society poses health risks to the relevant people and the potential harm can be greater to white-collar workers.
An assessment of the habitat preferences of European bison with airborne laser scanning data in forest ecosystem
Authors: Klich Daniel , Stereńczak Krzysztof , Lisiewicz Maciej , Sobczuk Maria , Nieszała Angelika , Olech Wanda 
Published: October 2023

AbstractResearch on habitat preferences is an important part of contemporary ecology. For the European bison, the classic approach to distinguishing habitat features is still being followed, but the limitations of this approach cannot provide the standard features of optimal habitats for this species. The study consisted in comparing analyses of the habitat preferences of European bison that were based on either classic forest typology (habitat types) or airborne laser scanning data. The data for these analyses were collected from telemetry collars on European bison in Białowieża Forest. The model based on airborne laser scanning features presented better parameters (percent of correctly classified cases and ROC) than the model based on habitat types. The results show that it is possible to find universal indicators of European bison’s preferences that are independent of local forest classification methodology. The indicators used suggest that European bison have a preference for forest habitats with low canopy cover and a small share of woody plants in the lower parts of the forest. Low canopy cover itself is not necessarily beneficial for European bison. Our study also indicates that airborne laser scanning is also useful in the assessment of habitat suitability for European bison in forest ecosystems.
Roles of Phonation Types and Decoders' Gender in Recognizing Mandarin Emotional Speech
Authors: Chang Yajie , Chen Xiaoxiang , Chen Fei , Li Manhong 
Published: October 2023

Purpose:
Capturing phonation types such as breathy, modal, and pressed voices precisely can facilitate the recognition of human emotions. However, little is known about how exactly phonation types and decoders' gender influence the perception of emotional speech. Based on the modified Brunswikian lens model, this article aims to examine the roles of phonation types and decoders' gender in Mandarin emotional speech recognition by virtue of articulatory speech synthesis.

Method:
Fifty-five participants (28 male and 27 female) completed a recognition task of Mandarin emotional speech, with 200 stimuli representing five emotional categories (happiness, anger, fear, sadness, and neutrality) and five types (original, copied, breathy, modal, and pressed). Repeated-measures analyses of variance were performed to analyze recognition accuracy and confusion data.

Results:
For male and female decoders, the recognition accuracy of anger from pressed stimuli and fear from breathy stimuli was high; across all phonation-type stimuli, the recognition accuracy of sadness was also high, but that of happiness was low. The confusion data revealed that in recognizing fear from all phonation-type stimuli, female decoders chose fear responses more frequently and neutral responses less frequently than male decoders. In recognizing neutrality from breathy stimuli, female decoders significantly reduced their choice of neutral responses and misidentified neutrality as anger, while male decoders mistook neutrality from pressed stimuli for anger.

Conclusions:
This study revealed that, in Mandarin, phonation types play crucial roles in recognizing anger, fear, and neutrality, while the recognition of sadness and happiness seems not to depend heavily on phonation types. Moreover, the decoders' gender affects their recognition of neutrality and fear. These findings support the modified Brunswikian lens model and have significance for diagnosis and intervention among clinical populations with hearing impairment or gender-related psychiatric disorders.

Supplemental Material:

https://doi.org/10.23641/asha.24302221