bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tone Decay Reconsidered: Preliminary Results of a Prospective Study in Hearing-Aid Users With Moderate to Severe Hearing Loss
Authors: Schmidt Florian Herrmann , Hocke Thomas , Zhang Lichun , Großmann Wilma , Mlynski Robert 
Published: December 2023

Among hearing aid (HA) users, there is a considerable variability in word-recognition scores (WRS). This variability is most pronounced among individuals with moderately severe to severe hearing loss. The variability cannot be adequately explained by factors such as the pure-tone audiogram, audiogram type, or age. This prospective study was designed to investigate the relationship between tone decay (TD) and WRS in a group of HA users with corresponding pure-tone hearing loss. The study population included 22 patients with hearing loss between 50 and 80 dB HL. Aided WRS, unaided WRS and TD were assessed for both ears. TD was found to be frequency-dependent. TD and WRS were correlated, with up to R=–0.66. The TD test was revealed as a feasible method for explaining the variability in WRS among HA users with hearing loss below 80 dB. This may contribute to improved differential diagnostics. The TD test may thus offer a better understanding of the limitations of HA use in the context of cochlear implant candidacy assessment for HA users.
Hydraulic Joint Function and Osteoarthritis
Authors: Beverly Michael , Murray David W. 
Published: December 2023

» This review of bone perfusion work introduces a new field of subchondral physiology.» Intraosseous pressure (IOP) measured through an intraosseous needle reflects conditions only at the needle tip rather than being a constant for the whole bone.» Measurements of IOP in vitro and in vivo, with and without proximal vascular occlusion, show that at rest, bone is perfused at normal physiological pressures.» A subtraction perfusion range or bandwidth at the needle tip offers a better measure of bone health than a single IOP.» With ordinary loads, very great subchondral pressures are generated.» Subchondral tissues are relatively delicate but are microflexible with bone fat being essentially liquid at body temperature.» Collectively, the subchondral tissues transmit load mainly through hydraulic pressure to the trabeculae and cortical shaft.» White vascular marks on normal magnetic resonance imaging scans are present but are lost in early osteoarthritis.» Histological studies confirm the presence of those vascular marks and also choke valves capable of supporting hydraulic pressure load transmission.» Osteoarthritis seems to be at least partly a vasculomechanical disease.» Understanding subchondral physiology will be key to better classification, control, prognosis, and treatment of osteoarthritis.
OPTIMIZING LANTANA CLASSIFICATION: HIGH-ACCURACY MODEL UTILIZING FEATURE EXTRACTION
Authors: Sooai Adri Gabriel , Mau Sisilia Daeng Bakka , Siki Yovinia Carmeneja Hoar , Manehat Donatus Joseph , Sianturi Shine Crossifixio , Mondolang Alicia Herlin 
Published: December 2023

As an invasive and poisonous plant, Lantana has become a pest in the agricultural world. Still, on the other hand, it becomes an ornamental plant with different positive potentials. Lantana flower datasets are not yet widely available for open image classification research, given that the research needs are still broad in remote sensing. This study aims to provide a model with classifier accuracy that outperforms similar studies and Lantana datasets for classification needs using several algorithms that can be run on small source computers. This study used five types of lantana colors, red, white, yellow, purple, and orange, as the primary dataset, which had 411 instances. VGG16 assisted feature extraction in preparing datasets for the data training using three classifiers: decision tree, AdaBoost, and k-NN. 2-fold cross-validation, 5-fold cross-validation, and a self-organizing map are used to help validate each process. The experiment to measure the classifier's performance resulted in a good figure of 99.8% accuracy for 2-fold cross-validation, 100% for 5-fold cross-validation, and a primary dataset of lantana interest that can be accessed freely on the IEEE Data port. This study outperformed other related studies in terms of classifier accuracy.
A fresh look at the intensity and impulsive strength of geomagnetic storms
Authors: Manu V. , Balan N. , Zhang Qing-He , Xing Zan-Yang 
Published: December 2023

Abstract

We notice an inconsistency in the geomagnetic storms having positive main phase onset (MPO >0 nT). The inconsistency makes the values of the storm indices (Dst and SymH) during the main phase and recovery phase significantly less than their actual values. We correct the inconsistency in 848 such storms (out of 1164 storms) during 1981-2019 by raising the 0-level of SymH to the MPO-level. The physically meaningful correction considers the full range of the main phase, increases the storm intensity (SymHMin) and impulsive strength (IpsSymH) by up to -149 nT and -139 nT, respectively, and seems important for all aspects of global space weather. For example, the corrected SymHMin changes the conventional storm identification and classification and corrected IpsSymH clearly identifies all 3 severe space weather events and 8 minor-system-damage space weather events from over 1100 normal space weather events.
Comprehensive pan-cancer analysis of cfDNA methylation marks in tumors reveals complex epigenetic regulatory circuits and diagnostic biomarkers
Authors: Lueong Smiths , Metzenmacher Martin , Zaun Gregor , Mayer Gina , Hemmer Erik , Lückerath Katharina , Pomykala Kelsey , Hegedues Balazs , Horn Peter , Trajkovic-Arsic Marija , Szarvas Tibor , Varaljai Renata , Keup Corinna , Tinhofer-Keilholtz Ingeborg , George Stephen , Kasimir-Bauer Sabine , Peña-Llopis Samuel , Kürten Cornelius , Boosfeld Lukas , Bruderek Kirsten , Brandau Sven , Darr Christopher , Hilser Thomas , Grünwald Viktor , Neubauer Hans , Esposito Irene , Fehm Tanja , Oláh Csilla , Csizmarik Anita , Hadaschik Boris , Thangarajah Fabinshy , Reetz Laura , Ghanam Jamal , Thakur Basant , Kalkavan Halime , Schuler Martin , Siveke Jens , Schramm Alexander , Rösch Alexander 
Published: December 2023

Abstract
DNA methylation is an extensively studied, stable, and fundamental epigenetic alteration in most cancer types1. Single-base-pair resolution analyses of DNA methylation is currently feasible2. Analysis of DNA methylation, in liquid biopsies hold practice-changing potentials3-6. Despite undeniable progress, clinical translation lags behind, mainly due to:
1) Challenges associated with DNA methylation analysis.
2) Fragmentation of circulating cell-free DNA (ccfDNA), worsened by bisulfite treatment.
3) Lack of clinical validation for reported ccfDNA methylation markers.
4) Limited functional characterization of ccfDNA methylation markers in tumors7.
We addressed these challenges by creating a comprehensive pan-cancer cfDNA methylation resource, utilizing pools comprising over 140 patient samples and assess the utility of this resource in over 500 patient plasma and tissue samples spanning around 15 cancer entities with different clinical phenotypes and treatment approaches. Furthermore, we developed a pan-cancer enzymatic digital PCR approach and optimized entity-specific assays for ccfDNA methylation scoring. We demonstrated that this resource can profile methylation in unexplored entities, and ccfDNA methylation patterns align with those in tumor samples. Additionally, we unveiled unconventional epigenetic regulation by methylated DNA-binding transcription factors, with tissue- and context-specific and dosage-dependent activities. This work provides a reference resource for identifying minimally invasive epigenetic markers and opens avenues for characterizing methylated DNA-binding transcription factors.
A Complementary Medicine student-led telehealth clinic: evaluating learning &amp; teaching perceptions
Authors: Shew Tracelee , Health Catherine Smith , Connolly Greg , Fleischmann Michael , McLachlan Craig S. 
Published: December 2023

Abstract
Objectives
This study evaluates a multi-centered complementary medicine (CM) student-led telehealth clinic during the COVID-19 pandemic. Likert and qualitative responses explore student and educator learning and teaching perceptions of the implementation of a successful telehealth clinic.
Results
51 students and 17 educators completed the survey. Respondents agreed that support from educators (90%) and orientation (70%) assisted effective performance. Over ninety percent (93%) of all respondents supported telehealth in student-led clinics, whilst 87% encountered barriers such as technical and infrastructure issues. Respondents agreed that telehealth practice skills improved in case history taking (90%), treatment (90%) and building patient rapport (60%). Respondents (61%) disagreed that physical examination was effectively performed, and 100% of respondents agreed telehealth was a valuable learning experience.
This study is the first to explore student and educator perceptions of telehealth in an Australian University multi-centered CM student-led clinic. To be successful in an educational environment, students and educators require digital literacy and adequate telehealth practice infrastructure. Whilst some in-person practice skills are transferable to telehealth, educators need to adapt curriculum to ensure counselling and physical examination skills are specifically taught for virtual consultations. Telehealth in clinical practice requires continued investigation and educational development.
Development of new PCR protocols to detect genetic diversity in the metronidazole metabolism genes in susceptible and refractory clinical samples of Giardia duodenalis
Authors: Asghari Ali , Mahdavi Farzad , Yousefi Amirhosein , Shamsi Laya , Badali Roya , Irannejad Hamid , Mohammadi-Ghalehbin Behnam , Shahabi Saeed , Asgari Qasem , Motazedian Mohammad Hossein 
Published: December 2023

Abstract

Purpose
Investigating the genetic variation in thioredoxin reductase (TrxR) and nitroreductase (NR) genes in both treatment-resistant and sensitive Giardia duodenalis isolates can provide valuable information in identifying potential markers of resistance to metronidazole. The rapid increase in metronidazole treatment failures suggests the presence of genetic resistance mechanisms. By analyzing these genes, researchers can gain insights into the efficacy of metronidazole against G. duodenalis and potentially develop alternative treatment strategies. In this regard, four G. duodenalis isolates (two clinically sensitive and two clinically resistant to metronidazole) were collected from various hospitals of Shiraz, southwestern Iran.
Methods
Parasitological methods including sucrose flotation and microscopy were employed for the primary confirmation of G. duodenalis cysts in stool samples. Microscopy-positive samples were approved by SSU-PCR amplification of the parasite DNA. All four positive G. duodenalis specimens at SSU-PCR were afterward analyzed utilizing designed primers based on important metronidazole metabolism genes including TrxR, NR1, and NR2.
Results
Unlike TrxR gene, the results of NR1 and NR2 genes showed that there are non-synonymous variations between sequences of treatment-sensitive and resistant samples compared to reference sequences. Furthermore, the outcomes of molecular docking revealed that there is an interaction between the protein sequence and spatial shape of treatment-resistant samples and metronidazole in the position of serine amino acid based on the NR1 gene.
Conclusion
This issue can be one of the possible factors involved in the resistance of Giardia parasites to metronidazole. To reach more accurate results, a large sample size along with simulation and advanced molecular dynamics investigations are needed.
Caustic wavefront encoded imaging for snapshot three-dimensional fluorescence microscopy
Authors: Kumar Sanjeev , Huang Chongquan , Li Zheng , Lin Vincent , Chew Sing Yian , Ram Rajeev 
Published: December 2023

Abstract
High-resolution, three-dimensional fluorescence microscopy is widely used in biology and neuroscience. The challenges of conventional three-dimensional fluorescence microscopy which relies on scanning the focal spot across the object include limited imaging cycles due to photobleaching of the fluorophores, ambiguous spatiotemporal information in dynamic samples due to long scanning times, and mechanical perturbation during the scanning process. In this paper, we report a snapshot three-dimensional fluorescence microscopy method (CausWEI) where three-dimensional sample information is encoded in a single wide-field image by engineering a high-contrast, laterally invariant point-spread function composed of caustics generated via the interaction of a uniform, thick glass sample holder and a high-numerical aperture objective. The three-dimensional information is computationally reconstructed from the caustic pattern recorded at the camera plane. The method can be implemented with a wide-field fluorescence microscope, without any internal modification in the microscope optics. We qualitatively and quantitatively evaluate CausWEI’s capabilities and limitations with reference fluorescent beads, neural cells on three-dimensional scaffolds, and spinal cord tissue sections. CausWEI microscopy is of importance when fluorescently labelled features are located in a depth range significantly larger than the depth-of-field of the objective lens.
Research progress on the beneficial effects of exercise on endocrine system-related diseases in women by regulating ER stress pathways
Authors: Chen Dejian , Zhang Shuo , Sheng Shuhao , Cai Lingshi , Zheng Jisuo , Zhang Yaling , Wang Yong 
Published: December 2023

Abstract
Exercise, as an effective non-drug intervention, plays an important role in preventing and alleviating several diseases. Endoplasmic reticulum (ER) stress is caused by an excessive accumulation of unfolded or misfolded proteins in the ER and also serves as the body’s internal self-protection mechanism. ER stress occurrence can be detected in the cells in many diseases such as cancer, diabetes, obesity, osteoporosis, neurodegenerative diseases, and metabolic diseases. In recent years, exercise has been suggested to change the molecular mechanisms related to various diseases by regulating ER stress. With increasing attention on women's health, some common diseases have also become research hotspots, such as breast, ovarian, cervical, endometrial cancer, polycystic ovary syndrome (PCOS) and endometriosis prevention and treatment; and other diseases. This manuscript reviews the relationship between exercise and ER stress and its role in common female endocrine system-related diseases.
Remote Sensing-Based Vegetation Types Classification Using Landsat and Change Analysis Using Setinel-2a in Google Earth Engine
Authors: Rohith Kolupuri , Vudatha Venkata Pavan Sai Hari Vamsi , Rathna TalluriPranoom Keerthi , Lakshmi G. Jaya 
Published: December 2023

Abstract
we present a comprehensive analysis of vegetation types using remote sensing techniques, specifically utilizing Landsat imagery, followed by change analysis through Sentinel-2A data, all conducted within the Google Earth Engine platform. Our research aims to develop a robust methodology for the classification of vegetation types, leveraging the multi-spectral capabilities of Landsat satellites. We employ advanced image processing and machine learning algorithms to accurately categorize various vegetation types across a chosen study area. Furthermore, we utilize Sentinel-2A imagery to track temporal changes in vegetation cover, enabling the identification of land cover alterations over time. By combining Landsat’s spectral richness with Sentinel2A’s temporal consistency, we offer a holis- tic approach for vegetation monitoring and change detection. The results of this study have the potential to significantly enhance our understanding of ecosystem dynamics, support informed land management decisions, and contribute to the conservation of natural habitats in a rapidly changing world.
Effect of different storage conditions and combined use of ethylene blocker on ‘Shalimar’ apple quality
Authors: Khera Kartik , Büchele Felix , Wood Rachael Maree , Thewes Fabio Rodrigo , Wagner Roger , Hagemann Michael Helmut , Neuwald Daniel Alexandre 
Published: December 2023

Abstract
Post-storage apple quality is affected by various factors, for instance, the stage of maturity at harvest, storage conditions, and post-harvest treatments. Storage conditions are crucial in deciding the fruit quality and flavor perceived by consumers. The variety 'Shalimar' (Topaz x Golden Delicious) is known to be resistant to scabs and mildew. To date, no research articles have established the optimal storage method for this particular cultivar. This study investigated the fruit quality and volatile profile of the 'Shalimar' apple variety as affected by storage conditions i.e., controlled atmosphere (CA), dynamic control atmosphere (DCA), and 1-methylcyclopropene (1-MCP) application after 7 months of storage. It was found that CA and DCA were both effective techniques to maintain fruit quality. 1-MCP significantly improved firmness maintenance in all storage treatments. CA-stored and 1-MCP-treated fruit showed a reduction in volatile organic compounds. DCA with carbon dioxide monitoring (DCA-CD) was an effective technique in maintaining 'Shalimar' fruit quality and ensuring higher volatile compound production after 7 months of storage.
Maximum Likelihood Estimation of Parameters of the Elliptical Distribution Using Depth-based Multivariate Records
Authors: Tat Samaneh , Faridrohani Mohammad Reza 
Published: December 2023

Abstract
In this article, the maximum likelihood estimation approach is considered for estimating the unknown parameters of some members of the elliptical distributions using the depth-based multivariate record values, a new innovative concept of records recently defined by the authors. The problem is discussed under some scenarios in which the Mahalanobis and projection depth functions are employed. For all the scenarios, the likelihood equations are formulated and the maximum likelihood estimates are obtained through numerical methods. The simulation studies were implemented to evaluate the behavior of these maximum likelihood estimations and demonstrate the good performance of MLEs by the multivariate depth-based records. Also, we have applied our proposed depth-based maximum likelihood estimation of a real data set related to the drought of Kermanshah city, Iran, which shows very satisfactory compared to the maximum likelihood estimation with complete data.
MSC codes: 62H12, 62G32.
Low-carbon optimal dispatching of electric-heat-gas coupled integrated energy system based on improved MVO algorithm
Authors: Yanan Bai , haizhu Yang , Zhang Peng 
Published: December 2023

Abstract
To further reduce the carbon emissions of the integrated energy system and improve the energy consumption rate, this paper proposes an optimal dispatching strategy for the electric, hot, and gas-coupled integrated energy system including stepped carbon trading. First, an electric-heat-gas coupling dispatching framework for combined heat and power units, air-source heat pumps, and power-to-gas was established. A scheduling deviation model caused by changing operating conditions of the air-source heat pump was established, and power-to-gas considering waste heat recovery was introduced to achieve energy complementation and synergy; Secondly, a stepped carbon trading mechanism was introduced to constrain system carbon emissions, with the weighted combination of economy, carbon emissions, and wind and photovoltaic abandonment as the optimization goal; finally, by improving the parameters travel distance rate and wormhole existence probability, combined with differential variation The multiverse algorithm is improved from three aspects: strategy and compression factor, and the model is solved. The results show that the improved algorithm can effectively improve the solution efficiency, thus verifying the feasibility and effectiveness of the proposed strategy.
Suppression of hypoxia-induced stemness and chemoresistance in ovarian tumors
Authors: Munoz-Galvan Sandra , Verdugo-Sivianes Eva M. , Santos-Pereira José M. , Estevez-García Purificación , Carnero Amancio 
Published: December 2023

Abstract
Background: Hypoxia in solid tumors is an important source of chemoresistance that can determine poor patient prognosis. Such chemoresistance relies on the presence of cancer stem cells (CSCs), and hypoxia promotes their generation through transcriptional activation by HIF transcription factors.
Methods. We used OC cell lines, xenograft models, OC patient samples, transcriptional databases, iPSCs and ATAC-seq.
Results Here, we show that hypoxia induces CSC formation and chemoresistance in ovarian cancer through transcriptional activation of the PLD2 gene. Mechanistically, HIF-1a activates PLD2transcription through hypoxia response elements, and both hypoxia and PLD2overexpression lead to increased accessibility around stemness genes, detected by ATAC-seq, at sites bound by AP-1 transcription factors. This in turn provokes a rewiring of stemness genes, including the overexpression of SOX2, SOX9 or NOTCH1. PLD2 overexpression also leads to decreased patient survival, enhanced tumor growth and CSC formation, and increased iPSCs reprograming, confirming its role in dedifferentiation to a stem-like phenotype. Importantly, hypoxia-induced stemness is dependent on PLD2 expression, demonstrating that PLD2 is a major determinant of de-differentiation of ovarian cancer cells to stem-like cells in hypoxic conditions. Finally, we demonstrate that high PLD2expression increases chemoresistance to cisplatin and carboplatin treatments, both in vitro and in vivo, while its pharmacological inhibition restores sensitivity.
Conclusions. Altogether, our work highlights the importance of the HIF-1a-PLD2 axis for CSC generation and chemoresistance in OC and proposes an alternative treatment for patients with high PLD2 expression.