bluuebunny/crossref_metadata_2025_split huggingface dataset:
A big data association rule mining based approach for energy building behaviour analysis in an IoT environment
Authors: Dolores M. , Fernandez-Basso Carlos , Gómez-Romero Juan , Martin-Bautista Maria J. 
Published: November 2023

AbstractThe enormous amount of data generated by sensors and other data sources in modern grid management systems requires new infrastructures, such as IoT (Internet of Things) and Big Data architectures. This, in combination with Data Mining techniques, allows the management and processing of all these heterogeneous massive data in order to discover new insights that can help to reduce the energy consumption of the building. In this paper, we describe a developed methodology for an Internet of Things (IoT) system based on a robust big data architecture. This innovative approach, combined with the power of Spark algorithms, has been proven to uncover rules representing hidden connections and patterns in the data extracted from a building in Bucharest. These uncovered patterns were essential for improving the building’s energy efficiency.
Flexible and sewable electrode based on Ni-Co@PANI-salphen composite-coated on textiles for wearable supercapacitor
Authors: Adriyani Touba Rezaee , Ensafi Ali A. , Rezaei B. 
Published: November 2023

AbstractFlexible electrodes with high deformability and energy density are critical for electronic textiles. The key factor for achieving high-performance supercapacitors with superior power and energy density is the evaluation of materials that exhibit exceptional capacitive performance. Herein, we have prepared Ni-Co nanoparticles at the surface of polyaniline-salphen (Ni-Co@PS). Then, followed by casting Ni-Co@PS on a conductive carbon cloth (CC) as a substrate through a facile in-situ polymerization strategy. The morphologies of Ni-Co@PS composite were characterized by different methods such as FE-SEM, XPS, XRD, BET, and electrochemical methods. This nanocomposite showed high tolerability and a large surface area with excellent behavior as a new nanomaterial for supercapacitor application. Thus, the optimum composite designed with a metal ratio (nickel–cobalt 3:1 w/w) satisfactorily possesses a specific capacitance of up to 549.994 C g−1 (1447.2 F g−1) under 0.5 A g−1 and long-term cyclic stability featuring capacity retention of 95.9% after 5000 cycles at a current density of 9.0 A g−1. The Ni-Co@PS-CC, is a material with great potential as an electrode in asymmetric wearable supercapacitor (AWSC) apparatus, demonstrating a remarkable specific capacity of 70.01, and accompanied by an energy density of 23.46 Wh k g−1 at a power density of 800 W k g−1.
PPP1R12A is a recycling endosomal phosphatase that facilitates YAP activation
Authors: Inoue Chiaki , Mukai Kojiro , Matsudaira Tatsuyuki , Nakayama Jun , Kono Nozomu , Aoki Junken , Arai Hiroyuki , Uchida Yasunori , Taguchi Tomohiko 
Published: November 2023

AbstractYes-associated protein (YAP) is a transcriptional coactivator that is essential for the malignancy of various cancers. We have previously shown that YAP activity is positively regulated by phosphatidylserine (PS) in recycling endosomes (REs). However, the mechanism by which YAP is activated by PS in REs remains unknown. In the present study, we examined a group of protein phosphatases (11 phosphatases) that we had identified previously as PS-proximity protein candidates. Knockdown experiments of these phosphatases suggested that PPP1R12A, a regulatory subunit of the myosin phosphatase complex, was essential for YAP-dependent proliferation of triple-negative breast cancer MDA-MB-231 cells. Knockdown of PPP1R12A increased the level of phosphorylated YAP, reduced that of YAP in the nucleus, and suppressed the transcription of CTGF (a YAP-regulated gene), reinforcing the role of PPP1R12A in YAP activation. ATP8A1 is a PS-flippase that concentrates PS in the cytosolic leaflet of the RE membrane and positively regulates YAP signalling. In subcellular fractionation experiments using cell lysates, PPP1R12A in control cells was recovered exclusively in the microsomal fraction. In contrast, a fraction of PPP1R12A in ATP8A1-depleted cells was recovered in the cytosolic fraction. Cohort data available from the Cancer Genome Atlas showed that high expression of PPP1R12A, PP1B encoding the catalytic subunit of the myosin phosphatase complex, or ATP8A1 correlated with poor prognosis in breast cancer patients. These results suggest that the “ATP8A1-PS-YAP phosphatase” axis in REs facilitates YAP activation and thus cell proliferation.
Comprehensive anatomical study of meningeal arteries in dromedaries
Authors: Al Aiyan Ahmad , Balan Rinsha 
Published: November 2023

AbstractThis study provides a detailed, in-depth analysis of the anatomy, topography, and branching patterns of the meningeal arteries in dromedary camels, a subject that has not previously been thoroughly studied in animals, providing insight into the intricate biological adaptations that allow them to survive in harsh environments. By precisely examining 20 heads obtained from freshly slaughtered dromedaries, we revealed the origins and topologies of the rostral, middle, and caudal meningeal arteries using advanced casting techniques for precise rendering. Our findings indicate that the rostral meningeal artery derives from the external ethmoidal artery and primarily supplies the rostrodorsal region of the frontal lobe. The middle meningeal artery provides blood to approximately two-thirds of the brain meninges. The caudal meningeal artery is derived from the occipital artery and supplies the meninges covering the cerebellum, caudal part of the falx cerebri, and tentorium cerebelli. Significantly, our study revealed the presence of accessory branches originating from the rostral epidural rete mirabile, a finding not previously described in the existing literature. These branches supply the meninges of the frontal and lateral regions of the frontal lobes. This novel study advances our understanding of the meningeal arteries in dromedaries and has significant implications for advancements in veterinary neuroscience.
Effect of multimodal diagnostic approach using deep learning-based automated detection algorithm for active pulmonary tuberculosis
Authors: Choi So Yeon , Choi Arom , Baek Song-Ee , Ahn Jin Young , Roh Yun Ho , Kim Ji Hoon 
Published: November 2023

AbstractIn this study, we developed a model to predict culture test results for pulmonary tuberculosis (PTB) with a customized multimodal approach and evaluated its performance in different clinical settings. Moreover, we investigated potential performance improvements by combining this approach with deep learning-based automated detection algorithms (DLADs). This retrospective observational study enrolled patients over 18 years of age who consecutively visited the level 1 emergency department and underwent chest radiograph and sputum testing. The primary endpoint was positive sputum culture for PTB. We compared the performance of the diagnostic models by replacing radiologists’ interpretations of chest radiographs with screening scores calculated through DLAD. The optimal diagnostic model had an area under the receiver operating characteristic curve of 0.924 (95% CI 0.871–0.976) and an area under precision recall curve of 0.403 (95% CI 0.195–0.580) while maintaining a specificity of 81.4% when sensitivity was fixed at 90%. Multicomponent models showed improved performance for detecting PTB when chest radiography interpretation was replaced by DLAD. Multicomponent diagnostic models with DLAD customized for different clinical settings are more practical than traditional methods for detecting patients with PTB. This novel diagnostic approach may help prevent the spread of PTB and optimize healthcare resource utilization in resource-limited clinical settings.
Impact of the severe familial hypercholesterolemia status on atherosclerotic risks
Authors: Tada Hayato , Nohara Atsushi , Usui Soichiro , Sakata Kenji , Kawashiri Masa-aki , Takamura Masayuki 
Published: November 2023

AbstractRisks of atherosclerotic events substantially vary even among patients with familial hypercholesterolemia (FH) with extremely high risk based on life-long exposure to high low-density lipoprotein cholesterol levels. This study aimed to examine the impact of the severe FH status defined by the International Atherosclerosis Society (IAS). Data of patients with FH (N = 1050, male = 490) who were admitted to Kanazawa University Hospital between 2000 and 2020 and who were followed up were retrospectively reviewed. The number of major adverse cardiac events (MACEs), including mortality associated with cardiovascular disease, acute coronary syndrome, and ischemic heart disease requiring coronary revascularization per 1000 person-years, was calculated. Hazard ratio was also calculated using Cox proportional model. Overall, 545 (51.9%) patients had severe FH. The median follow-up duration was 12.6 years. In total, 171 MACEs were recorded during the follow-up period. Severe FH was significantly associated with MACE (hazard ratio = 6.48, 95% confidence interval = 2.56–10.40, P = 1.2 × 10−5). The event rates per 1000 person-years in the primary prevention group of non-severe FH and severe FH, were 0.0 and 15.6, respectively. The event rates per 1000 person-years in the secondary prevention group of non-severe FH and severe FH, were 2.0 and 32.3, respectively. Patients with severe FH exhibited significantly higher risks in primary and secondary prevention settings. This simple criterion provides useful information for identifying patients with even higher risk who may need further management.
Life cycle assessment (LCA) and energy assessment of the production and use of windows in residential buildings
Authors: Kowalczyk Zbigniew , Twardowski Sebastian , Malinowski Mateusz , Kuboń Maciej 
Published: November 2023

AbstractThere is an observable scarcity of comprehensive research results comparing the environmental damage associated with both the production of windows and their subsequent operation. The environmental impact of the operation of windows depends on their thermal insulation parameters, and thus the amount of heat that must be generated to heat the building. The type of heating system and, above all, the type of fuel used to generate heat are also not without significance. Unfortunately, in Poland, a significant proportion of single-family houses operate on the fossil fuel heating system, including on coal and fuel oil. It is therefore important to present an environmental balance sheet of both the production and operation of windows for different variants of building heating. The purpose of the study was to determine: to what extent the manufacturing of windows of different construction and different insulation parameters affects the environment, to what extent does the negative environmental impact of the process of manufacturing with greater insulation compensate by the lower environmental impact related to savings on fuel (gas, coal, fuel oil) used to generate heat during the operation of windows. Three types of windows were selected for a detailed analysis: a triple-glazed aluminum construction, a double-glazed PVC construction and a triple-glazed PVC. The research results show that in the case of all impact categories, the greater environmental losses related to the improvement of the thermal insulation parameters of the windows at the production stage are fully compensated at the stage of their useful life, regardless of the type of fuel used to heat the buildings. Double-glazed PVC windows should be phased out of production due to significant environmental footprint associated with their operation.
Development of antibacterial neural stimulation electrodes via hierarchical surface restructuring and atomic layer deposition
Authors: Khosla Henna , Seche Wesley , Ammerman Daniel , Elyahoodayan Sahar , Caputo Gregory A. , Hettinger Jeffrey , Amini Shahram , Feng Gang 
Published: November 2023

AbstractMiniaturization and electrochemical performance enhancement of electrodes and microelectrode arrays in emerging long-term implantable neural stimulation devices improves specificity, functionality, and performance of these devices. However, surgical site and post-implantation infections are amongst the most devastating complications after surgical procedures and implantations. Additionally, with the increased use of antibiotics, the threat of antibiotic resistance is significant and is increasingly being recognized as a global problem. Therefore, the need for alternative strategies to eliminate post-implantation infections and reduce antibiotic use has led to the development of medical devices with antibacterial properties. In this work, we report on the development of electrochemically active antibacterial platinum-iridium electrodes targeted for use in neural stimulation and sensing applications. A two-step development process was used. Electrodes were first restructured using femtosecond laser hierarchical surface restructuring. In the second step of the process, atomic layer deposition was utilized to deposit conformal antibacterial copper oxide thin films on the hierarchical surface structure of the electrodes to impart antibacterial properties to the electrodes with minimal impact on electrochemical performance of the electrodes. Morphological, compositional, and structural properties of the electrodes were studied using multiple modalities of microscopy and spectroscopy. Antibacterial properties of the electrodes were also studied, particularly, the killing effect of the hierarchically restructured antibacterial electrodes on Escherichia coli and Staphylococcus aureus—two common types of bacteria responsible for implant infections.
Associated factors of diabetic retinopathy by artificial intelligence evaluation of fundus images in Japan
Authors: Komatsu Koji , Sano Kei , Fukai Kota , Nakagawa Ryo , Nakagawa Takashi , Tatemichi Masayuki , Nakano Tadashi 
Published: November 2023

AbstractThis cross-sectional study aimed to investigate the promoting and inhibitory factors of diabetic retinopathy (DR) according to diabetes mellitus (DM) stage using standardized evaluation of fundus images by artificial intelligence (AI). A total of 30,167 participants underwent blood and fundus examinations at a health screening facility in Japan (2015–2016). Fundus photographs were screened by the AI software, RetCAD and DR scores (DRSs) were quantified. The presence of DR was determined by setting two cut-off values prioritizing sensitivity or specificity. DM was defined as four stages (no DM: DM0; advanced DM: DM3) based on treatment history and hemoglobin A1c (HbA1c) levels. Associated factors of DR were identified using logistic regression analysis. For cutoff values, multivariate analysis revealed age, sex, systolic blood pressure (SBP), smoking, urinary protein, and HbA1c level as positively associated with the risk of DR among all DM stages. In addition to glycemic control, SBP and Fibrosis-4 index might act as promoting factors for DR at all or an earlier DM stage. T-Bil, cholinesterase, and T-cho level might be protective factors at an advanced DM stage.
Flexible control of vocal timing in Carollia perspicillata bats enables escape from acoustic interference
Authors: Kiai Ava , Clemens Jan , Kössl Manfred , Poeppel David , Hechavarría Julio 
Published: November 2023

AbstractIn natural environments, background noise can degrade the integrity of acoustic signals, posing a problem for animals that rely on their vocalizations for communication and navigation. A simple behavioral strategy to combat acoustic interference would be to restrict call emissions to periods of low-amplitude or no noise. Using audio playback and computational tools for the automated detection of over 2.5 million vocalizations from groups of freely vocalizing bats, we show that bats (Carollia perspicillata) can dynamically adapt the timing of their calls to avoid acoustic jamming in both predictably and unpredictably patterned noise. This study demonstrates that bats spontaneously seek out temporal windows of opportunity for vocalizing in acoustically crowded environments, providing a mechanism for efficient echolocation and communication in cluttered acoustic landscapes.
Degeneracy in the neurological model of auditory speech repetition
Authors: Sajid Noor , Gajardo-Vidal Andrea , Ekert Justyna O. , Lorca-Puls Diego L. , Hope Thomas M. H. , Green David W. , Friston Karl J. , Price Cathy J. 
Published: November 2023

AbstractBoth classic and contemporary models of auditory word repetition involve at least four left hemisphere regions: primary auditory cortex for processing sounds; pSTS (within Wernicke’s area) for processing auditory images of speech; pOp (within Broca’s area) for processing motor images of speech; and primary motor cortex for overt speech articulation. Previous functional-MRI (fMRI) studies confirm that auditory repetition activates these regions, in addition to many others. Crucially, however, contemporary models do not specify how regions interact and drive each other during auditory repetition. Here, we used dynamic causal modelling, to test the functional interplay among the four core brain regions during single auditory word and pseudoword repetition. Our analysis is grounded in the principle of degeneracy—i.e., many-to-one structure-function relationships—where multiple neural pathways can execute the same function. Contrary to expectation, we found that, for both word and pseudoword repetition, (i) the effective connectivity between pSTS and pOp was predominantly bidirectional and inhibitory; (ii) activity in the motor cortex could be driven by either pSTS or pOp; and (iii) the latter varied both within and between individuals. These results suggest that different neural pathways can support auditory speech repetition. This degeneracy may explain resilience to functional loss after brain damage.
Correlations in sleeping patterns and circadian preference between spouses
Authors: Richmond Rebecca C. , Howe Laurence J. , Heilbron Karl , Jones Samuel , Liu Junxi ,   23andMe Research Team, Aslibekyan Stella , Auton Adam , Babalola Elizabeth , Bell Robert K. , Bielenberg Jessica , Bryc Katarzyna , Bullis Emily , Coker Daniella , Partida Gabriel Cuellar , Dhamija Devika , Das Sayantan , Elson Sarah L. , Filshtein Teresa , Fletez-Brant Kipper , Fontanillas Pierre , Freyman Will , Gandhi Pooja M. , Heilbron Karl , Hicks Barry , Hinds David A. , Jewett Ethan M. , Jiang Yunxuan , Kukar Katelyn , Lin Keng-Han , Lowe Maya , McCreight Jey C. , McIntyre Matthew H. , Micheletti Steven J. , Moreno Meghan E. , Mountain Joanna L. , Nandakumar Priyanka , Noblin Elizabeth S. , O’Connell Jared , Petrakovitz Aaron A. , Poznik G. David , Schumacher Morgan , Shastri Anjali J. , Shelton Janie F. , Shi Jingchunzi , Shringarpure Suyash , Tran Vinh , Tung Joyce Y. , Wang Xin , Wan Wei , Weldon Catherine H. , Wilton Peter , Hernandez Alejandro , Wong Corinna , Tchakouté Christophe Toukam , Wang Xin , Weedon Michael N. , Rutter Martin K. , Lawlor Deborah A. , Davey Smith George , Vetter Céline 
Published: November 2023

AbstractSpouses may affect each other’s sleeping behaviour. In 47,420 spouse-pairs from the UK Biobank, we found a weak positive phenotypic correlation between spouses for self-reported sleep duration (r = 0.11; 95% CI = 0.10, 0.12) and a weak inverse correlation for chronotype (diurnal preference) (r = −0.11; −0.12, −0.10), which replicated in up to 127,035 23andMe spouse-pairs. Using accelerometer data on 3454 UK Biobank spouse-pairs, the correlation for derived sleep duration was similar to self-report (r = 0.12; 0.09, 0.15). Timing of diurnal activity was positively correlated (r = 0.24; 0.21, 0.27) in contrast to the inverse correlation for chronotype. In Mendelian randomization analysis, positive effects of sleep duration (mean difference=0.13; 0.04, 0.23 SD per SD) and diurnal activity (0.49; 0.03, 0.94) were observed, as were inverse effects of chronotype (−0.15; −0.26, −0.04) and snoring (−0.15; −0.27, −0.04). Findings support the notion that an individual’s sleep may impact that of their partner, promoting opportunities for sleep interventions at the family-level.
Comparative analysis of syngeneic mouse models of high-grade serous ovarian cancer
Authors: Cook David P. , Galpin Kristianne J. C. , Rodriguez Galaxia M. , Shakfa Noor , Wilson-Sanchez Juliette , Echaibi Maryam , Pereira Madison , Matuszewska Kathy , Haagsma Jacob , Murshed Humaira , Cudmore Alison O. , MacDonald Elizabeth , Tone Alicia , Shepherd Trevor G. , Petrik James J. , Koti Madhuri , Vanderhyden Barbara C. 
Published: November 2023

AbstractOvarian cancers exhibit high rates of recurrence and poor treatment response. Preclinical models that recapitulate human disease are critical to develop new therapeutic approaches. Syngeneic mouse models allow for the generation of tumours comprising the full repertoire of non-malignant cell types but have expanded in number, varying in the cell type of origin, method for transformation, and ultimately, the properties of the tumours they produce. Here we have performed a comparative analysis of high-grade serous ovarian cancer models based on transcriptomic profiling of 22 cell line models, and intrabursal and intraperitoneal tumours from 12. Among cell lines, we identify distinct signalling activity, such as elevated inflammatory signalling in STOSE and OVE16 models, and MAPK/ERK signalling in ID8 and OVE4 models; metabolic differences, such as reduced glycolysis-associated expression in several engineered ID8 subclones; and relevant functional properties, including differences in EMT activation, PD-L1 and MHC class I expression, and predicted chemosensitivity. Among tumour samples, we observe increased variability and stromal content among intrabursal tumours. Finally, we predict differences in the microenvironment of ID8 models engineered with clinically relevant mutations. We anticipate that this work will serve as a valuable resource, providing new insight to help select models for specific experimental objectives.
Applying Bayesian inference and deterministic anisotropy to retrieve the molecular structure ∣Ψ(R)∣2 distribution from gas-phase diffraction experiments
Authors: Hegazy Kareem , Makhija Varun , Bucksbaum Phil , Corbett Jeff , Cryan James , Hartmann Nick , Ilchen Markus , Jobe Keith , Li Renkai , Makasyuk Igor , Shen Xiaozhe , Wang Xijie , Weathersby Stephen , Yang Jie , Coffee Ryan 
Published: November 2023

AbstractCurrently, our general approach to retrieving molecular structures from ultrafast gas-phase diffraction heavily relies on complex ab initio electronic or vibrational excited state simulations to make conclusive interpretations. Without such simulations, inverting this measurement for the structural probability distribution is typically intractable. This creates a so-called inverse problem. Here we address this inverse problem by developing a broadly applicable method that approximates the molecular frame structure ∣Ψ(R, t)∣2 distribution independent of these complex simulations. We retrieve the vibronic ground state ∣Ψ(R)∣2 for both simulated stretched NO2 and measured N2O. From measured N2O, we observe 40 mÅ coordinate-space resolution from 3.75 Å−1 reciprocal space range and poor signal-to-noise, a 50X improvement over traditional Fourier transform methods. In simulated NO2 diffraction experiments, typical to high signal-to-noise levels predict 100–1000X resolution improvements, down to 0.1 mÅ. By directly measuring the width of ∣Ψ(R)∣2, we open ultrafast gas-phase diffraction capabilities to measurements beyond current analysis approaches. This method has the potential to effectively turn gas-phase ultrafast diffraction into a discovery-oriented technique to probe systems that are prohibitively difficult to simulate.