bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical Characteristics and Prognostic Factors of Nephrotic Syndrome after Allogeneic Hematopoietic Stem Cell Transplantation
Authors: Tu Yan , Yan Mengni , Zhang Mingming , Luo Yi , Shi Jimin , Zhao Yanmin , Wang Rending , Wang Huiping , Fu Huarui , Tan Yamin 
Published: October 2024

Aims/Background Although the incidence of nephrotic syndrome (NS) following allogeneic hematopoietic stem cell transplantation (allo-HSCT) is relatively low, it can significantly affect patients’ quality of life and may even be life-threatening. Therefore, it is essential to investigate the clinical manifestations and prognosis of patients with NS after allo-HSCT, as well as to identify potential high-risk factors associated with this condition. Methods We investigated the incidence rate of NS in 1457 patients who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT) at the First Affiliated Hospital, Zhejiang University School of Medicine between June 2007 and March 2020. Among these, we identified 12 patients who developed NS after allo-HSCT (NS group). For comparison, we selected a control group of 48 patients matched by gender and transplantation time who did not develop NS. Univariate and multivariate logistic regression analyses were performed using SPSS software, version 25.0 (IBM Corp., Armonk, NY, USA) to identify independent risk factors for NS. Results Among the 1457 patients, 12 (0.82%) developed post-transplantation NS, with a median onset time of 14.99 months (range: 5.39–48.43 months) after transplantation. Univariate analysis indicated that the occurrence of post-transplantation NS was significantly correlated with total cholesterol (TC) levels at 6 months post-transplantation (p = 0.041), triglycerides (TG) and TC levels at 1 year post-transplantation (p = 0.004 and p = 0.011, respectively), and cytomegalovirus (CMV) infection (p = 0.002). Multivariate analysis revealed that CMV infection (p = 0.004, odds ratio = 15.871; 95% confidence interval: 2.465–102.194) was independently associated with the development of NS. Conclusion After allo-HSCT, NS may manifest as a form of chronic graft-versus-host disease. CMV infection is a risk factor for developing NS. Effective management through the administration of calcium inhibitors and corticosteroids can enable long-term survival in these patients.
Frequency and temperature-dependent dielectric behaviour of fresh Aloe vera at 1 to 20 GHz microwave frequency using time domain reflectometry
Authors: Itolikar Ashish B. , Joshi Anand S. , Deshmukh Avadhut R. , Kumbharkhane Ashok C. 
Published: October 2024

Aloe vera (AV), known for its gel-filled leaves, is potentially known for its therapeutic properties and has created an interest in its applications in agriculture, medicine, cosmetics, materials science, and sensors. Understanding the dielectric behaviour at different frequencies is crucial and significant to see the possibility of the use of potential biomaterials like AV for sensor development and for studying the electric response. The present study explores the dielectric behaviour of freshly cut AV leaf with its natural moisture within the microwave frequency range of 1 to 20 GHz using the Time Domain Reflectometry (TDR) technique. The variation of complex dielectric constant i.e. dielectric constant and dielectric loss of AV leaf as a function of frequency and temperature has been discussed in this paper. The Cole-Cole diagrams also have been presented. This is a unique effort to study the comprehensive analysis of the dielectric response of AV in microwave region which offers new insights into the electrical characteristics of AV.
Die politische Wende 1989–1991 und die Zusammenarbeit der Bibliotheken in Ostmitteleuropa mit LIBER
Authors: Häkli Esko 
Published: October 2024

Zusammenfassung
Die Perestrojka von Michail Gorbatschow 1986 und der Fall der Berliner Mauer bedeuteten einen tiefen Umbruch in der europäischen Bibliothekslandschaft und enthüllten die Probleme der Bibliotheken in den ehemaligen sozialistischen Ländern. Mit Unterstützung des Europarates übernahm LIBER die Aufgabe, den Austausch der Information zwischen Ost und West zu organisieren und das Know-how des Westens nach Osten zu vermitteln und auf diese Weise die Einheit Europas zu fördern.
Effects of exogenous 2,4-epibrassinolide on photosynthetic traits of 53 cowpea varieties under NaCl stress
Authors: Hu Zhihui , Liang Xiaoping , Gong Zuyun , Wang Yanjie , Wu Chunxing 
Published: October 2024

Abstract
This study examined the effects of exogenous 2,4-epibrassinolide (EBR) on photosynthetic traits of 53 cowpea varieties under NaCl stress. The results of different analysis and correlation analysis showed that these 53 germplasm resources had rich genetic diversity, and significant correlations existed among various photosynthetic traits. Under NaCl stress, Pn was highly significantly positively correlated with Gs and Tr and extremely significantly negatively correlated with Ci. Under EBR treatment, Pn was extremely significantly positively correlated with Gs, Ci, Tr and it was significantly negatively correlated with Chla, Chlb, Chl(a + b), and Y(II). Under EBR treatment and NaCl stress, Pn was extremely significantly positively correlated with Tr, and significantly positively correlated with Gs and carotenoid reflectance index. Principal component analysis shows that in CK group and EBR treatment group, cowpea photosynthesis traits can be summarized as six principal components, contributing 82.298 and 83.046%, respectively, can replace 19 photosynthetic traits to evaluate 53 cowpea varieties; under NaCl stress group and EBR + NaCl stress group, photosynthesis traits can be summarized as seven principal components, with cumulative contribution rate of 84.564 and 85.742%, respectively. In the untreated case, the cluster analysis was used to screen 32 cowpea varieties exhibiting the strongest photosynthetic capacity. Under salt stress, six of these varieties were classified as salt-tolerant. Under EBR spraying + salt stress, all four varieties showed strong photosynthetic capacity, and EBR showed the best relief of salt stress. The results of this study will provide a theoretical basis for the application of exogenous EBR to alleviate cowpea salt stress damage.
Artificial Intelligence Through the Lens of Metaphor: Analyzing the EU AIA
Authors: Ye Zhanglei , Li Jian 
Published: October 2024

Abstract
Unveiling the cognitive patterns that underpin linguistic expressions, conceptual metaphor serves not only as an effective means for speakers to convey their values but also as a crucial tool for listeners to comprehend unfamiliar topics. This study undertakes a corpus-based analysis of conceptual metaphor expressions within the European Union’s Artificial Intelligence Act. Utilizing a corpus derived from the European Union Artificial Intelligence Act and employing both Conceptual Metaphor Theory and Critical Metaphor Analysis Theory, this research examines metaphors in terms of their types, orientations, and underlying rationales. The study identifies the most-use semantic domains of Journey, Human, War, and Object metaphors, indicating that the overall orientations are characterized by Tool, Dependency, Human, and Risk, reflecting both the aspirations and concerns of humanity. This study addresses a gap in metaphor research regarding the European Union’s Artificial Intelligence Act, offering valuable insights for policymakers and AI developers in understanding and shaping public perception of AI technologies.
Acute Endocrine Responses With Long-Term Weight Lifting in a 51-Year-Old Male Weightlifter
Authors: Eserhaut Drake A. , Fry Andrew C. , Stone Michael H. , Kraemer William J. 
Published: October 2024

Abstract
Eserhaut, DA, Fry, AC, Stone, MH, and Kraemer, WJ. Acute endocrine responses with long-term weightlifting in a 51 year old male weightlifter. J Strength Cond Res XX(X): 000–000, 2024—To study the effects of long-term (>35 years) competitive weightlifting on acute endocrine activity, a 51-year-old male two-time Olympian in weightlifting (Subject A) was compared with highly trained young male weightlifters (controls, n = 23; age = 17.7 ± 0.3 years). Between 1400 and 1700 hours, subjects performed 15 maximum effort vertical jumps, a series of single repetitions of the snatch progressing to a maximal effort, and 3 × 10 snatch pulls at 60% 1 repetition maximum. Blood sampling occurred at 0700 hours, pre-exercise, and +5 and +15 minutes postexercise. Exercise performances were comparable between Subject A and controls and elicited similar lactate responses at +5 minutes (mmol·L−1; A = 9.2; controls = 8.1 ± 0.4). Resting testosterone at 0700 hours was lower for Subject A than for the controls (nmol·L−1; A = 13.9; controls = 25.4 ± 2.0), although acute responses at +5 minutes were comparable (A = 21.6; controls 18.3 ± 1.5). Cortisol responses (nmol·L−1; A = 468.4, controls = 540.6 ± 32.3) and testosterone:cortisol ratio (A = 0.0461; controls = 0.0376 ± 0.004) were similar at +5 minutes. Subject A showed no 22 kDa growth hormone response at +5 minutes, while controls exhibited a substantial increase (µg·L−1; A = 0.4; controls = 16.7 ± 2.6). β-endorphin responses were no different at +15 minutes for Subject A relative to controls (pmol·L−1; A = 30.1; controls = 33.8 ± 3.7). Resting and exercise-induced endocrine physiology is partially modified with aging despite long-term participation in competitive weightlifting. Importantly, Subject A's testosterone response was largely preserved.
Delayed En Bloc Excision of L3 for Metastatic Sacrococcygeal Teratoma on a 1-Year-Old Boy
Authors: Tötterman Sandra , Syvänen Johanna , Grönroos Marika , Gardberg Maria , Raitio Arimatias , Helenius Ilkka 
Published: October 2024

Case:
A 1-year old boy was presented with cauda equina syndrome and progressive loss of motor function in lower limbs. MRI and CT scans revealed a sacrococcygeal teratoma with metastases para-aortically and in L3 producing compression into the epidural space. Despite metastases and a progressive cauda equina, neoadjuvant treatment was given to achieve cytoreduction for neurological recovery and facilitate curative treatment.

Conclusion:
Malignant sacrococcygeal teratoma with intraspinal infiltration or metastasis requires surgical and adjuvant treatment. If primary neurologic function-sparing surgery makes curative treatment impossible, adequate and quick decompression of neural structures with similar results can be achieved by preoperative chemotherapy, avoiding the local spill of malignant cells.
Gait parameters associated with falls in female patients with end-stage hip osteoarthritis
Authors: Kiko Yu , Uchitomi Hirotaka , Matsubara Masaaki , Miyake Yoshihiro 
Published: October 2024

Abstract

Osteoarthritis of the hip (hip OA) may increase the risk of falls. To decrease fall risk, it is important to assess the gait characteristics of patients with hip OA in detail. This study aimed to investigate the gait characteristics of patients with hip OA caused by falls by simultaneously assessing foot and waist trajectories via an inertial measurement unit (IMU). The subjects were 77 patients with hip OA, 17 of whom had fallen in the past year. Compared with the nonfall group, the fall group was older and had higher fall scores and lower JOA hip scores. With respect to gait characteristics, the stride length on the nonaffected side was significantly shorter in the fall group than in the nonfall group. Stride velocity gait asymmetry was also significantly lower in the fall group than in the nonfall group. The amount of lifting of the waist on the affected and nonaffected sides was significantly lower in the falling group than in the nonfalling group. It was suggested that the fall group might be adapting to stabilization and adjusting to a stable and safe gait pattern because of the effects of falls, new gait characteristics regarding falls in patients with hip OA were found.
Covariance Matrices and Case-Based Reasoning Synergy for Interpretable EEG Classification in Neurological Disorders
Authors: Fernandez Jonah , Innocenti Bianca , López Beatriz 
Published: October 2024

Abstract

This work introduces a novel methodology for Electroencephalography (EEG) data analysis in the context of neurological diseases, emphasizing feature extraction through covariance matrices and their integration with Case-Based Reasoning (CBR). Departing from traditional techniques such as Fast Fourier Transform (FFT) and statistical analysis, we investigate the synergy between covariance matrices and CBR, highlighting their potential to improve the interpretability and efficacy of EEG data analysis over conventional methods like Random Forest (RF). Covariance matrices analyze the relationships between channels, indirectly capturing interactions between brain regions, while CBR uses similarities in these relationship patterns across cases to make decisions, both techniques focusing on understanding the data through its interrelationships. Furthermore, we explore the impact of using data windows in the analysis pipeline to assess their influence on covariance matrix feature extraction and subsequent classification performance in the context of neurological disease diagnosis. Empirical results on public EEG datasets show that CBR, using covariance matrices without temporal windows, achieved the best accuracy, with 0.64 for Alzheimer’s Disease (AD) and up to 0.83 for Parkinson’s Disease (PD), outperforming RF.
Whistles characterisation using artificial intelligence: responses of short-beaked common dolphins (Delphinus delphis) to a bio-inspired acoustic mitigation device
Authors: Lehnhoff Loïc , Glotin Hervé , Gall Yves Le , Peltier Hélène , Pochat Alain , Pochat Krystel , Canneyt Olivier Van , Mérigot Bastien 
Published: October 2024

Abstract

Understanding cetacean whistles is crucial for assessing their social interactions, behaviors, and responses to anthropicactivities. However, to detect and dissociate different kinds of whistles within acoustic records remains challenging. Wedeveloped an innovative semi-automatic deep learning approach (DYOC) to rapidly extract whistle contours from audiorecordings, using YOLOv8m for detection and ResNet18 for identification. Applied to 808 minutes of audio recordings of wildfree-ranging short-beaked common dolphin from the Bay of Biscay, France, DYOC enabled the annotation of 8,730 contours6 times faster than manual annotation. Their features (such as duration, frequency range, and number of inflections) werethen compared based on dolphin behavior, presence of fishing nets, and the DOLPHINFREE acoustic beacon’s influence.Beacon activation led to significant frequency shifts and lower Signal-to-Noise Ratios, while during activation and deactivationphases, whistles were longer with more inflections. A dimension reduction technique (UMAP) revealed gradients betweenarchetypal whistle shapes. This study provides the first characterisation of whistle features for a population of short-beakedcommon dolphins in the Bay of Biscay. The proposed methodological approach has the potential to be applied to the study ofwhistles across a wide range of research areas, species and applications related to animal behaviour.
"My Sports Data”: A Privacy Calculus Model Analysis with Mediation Effects of Personal Competence and Perceived Value
Authors: Kim Young-Jae , Kim E-Sack 
Published: October 2024

Abstract

This study analyzed individuals’ intention to provide their personal information, specifically the “My Sports Data (MSD),” and explored how personal competence and perceived value influence this intention. A privacy calculus model was applied and descriptive statistics, confirmatory factor analysis, correlation analysis, and structural equation modeling were conducted on a sample of 1,000 South Korean adults aged 20–65 years. The results showed that perceived private and public benefits affected perceived value and perceived privacy and security risks. In addition, perceived value significantly affected the intention to provide behavioral and physical information. These findings indicate that by ensuring the protection of personal information and clearly explaining the positive benefits of sharing sports data, people will be more likely to share their sports data so they could access potential benefits. This, in turn, allows for more personalized sports solutions and improvements in sports.
High-throughput, Multiplexed Assay Platform for Integrated Analysis of Sepsis
Authors: Min Jouha , Lim Yongjun , Tokmedash Mohammad Asadi , Allen Matthew , Gruich Cameron , Choi Jun Hee , Kim Changheon , Goldsmith Bryan , Dickson Robert , Bong Ki Wan 
Published: October 2024

Abstract

Complex diseases, such as sepsis and cancer, often involve intricate interactions between different biological systems, necessitating diagnostic tools that can analyze multiple biomarkers simultaneously. This is particularly urgent in sepsis, a dynamic syndrome driven by host–pathogen interactions, where current tools often fail to quickly and accurately assess both the host's immune response and the presence of viable pathogens. Most existing technologies are limited to either pathogen detection or host-response monitoring, missing the two-way signaling between host and pathogens that defines septic pathophysiology. Here, we present MIDAS (Multiplexed Intelligent Diffraction Analysis System), a new assay platform that enables the integrated analysis of the host–pathogen interface by quantifying both bacterial RNA markers for pathogen detection and phenotyping, as well as host inflammatory proteins, within a single system in under 4 h, significantly reducing the turnaround time for pathogen identification by over 20-40 h compared to standard culture workflows. MIDAS synergistically integrates (i) digital holography for high-throughput imaging, (ii) shape-encoded hydrogel sensor arrays for high multiplexing, and (iii) deep learning for fast, automated image analysis—all optimized for point-of-care use in low resource settings. In this proof-of-concept study with two sets of markers—5 bacterial species and 5 plasma proteins—MIDAS demonstrated superior performance in detection sensitivity/specificity, multiplexing power, and speed, compared to standard methods (ELISA, culture, qPCR), making it a powerful diagnostic tool for sepsis. Its modular design allows for expansion beyond the initial sensor elements and marker panels selected in this study. This generic platform, in conjunction with its single-cell analysis capabilities, could serve as a highly multiplexable solution for a variety of applications.
Feasibility of Volume Doubling Time for Predicting Regrowth of Uterine Fibroids Classified by T2-Weighted MR Images after HIFU Treatment
Authors: Liu Yang , Lv Fajin , Luo Yuanli , Qiu Xueke , Xiao Zhibo 
Published: October 2024

Abstract

Objective: To investigate whether volume doubling time (VDT) after high-intensity focused ultrasound (HIFU) treatment can be used to assess the regrowth of uterine fibroids and validate the performance of VDT in T2-weighted imaging (T2WI) signal intensity (SI) classifications of fibroids.
Materials and Methods: A retrospective analysis was conducted on patients who underwent HIFU treatment and at least three follow-up magnetic resonance imaging (MRI) scans between 2016 and 2021. The VDT, VDT2, and VDT3 of the fibroids were calculated from the two MRI scans, and the predicted volumes V2 and V3 were calculated using VDT. Uterine fibroids were classified as hyperintense, isointense, or hypointense based on T2WI, and the correlation between each SI type and VDT was analyzed.
Results:Sixty patients were included in this study. There were no statistically significant differences between the predicted volumes V2 and V3 and the actual fibroid volumes (p=0.713, p=0.838). The VDTs for hyperintense, isointense, and hypointense fibroids showed significant statistical differences in VDT, VDT2, and VDT3 on T2WI(p<0.001). The VDTs for hyperintense, isointense, and hypointense fibroids were 235.6, 469.92, and 465.56 days, respectively. VDT correlated with the fibroid SI classification (r=-0.466, p<0.001), and multivariate Cox regression showed that VDT and non-perfusion volume ratio (NPVR) were independent factors for fibroid regrowth.
Conclusion: VDT can assess the regrowth of uterine fibroids after HIFU treatment. The three types classified by T2WI showed relatively constant VDTs after HIFU treatment, making VDT a relatively accurate predictive factor.
Green Synthesis and Anti-Cancer Properties of Cerium Oxide Nanoparticles Using Pistachio Vera Pericarp Essential Oil
Authors: Askari Nahid , Hojabrpour Hamide , Mirzaei Mohammad Reza , Mirzaei Vahid , Falahati-pour Soudeh Khanamani 
Published: October 2024

Abstract

In recent years, researchers have shown great interest in metal oxide nanoparticles for their possible use in medicine. The purpose of this investigation was to develop a simple and environmentally friendly method for producing cerium oxide nanoparticles (CeO2 NPs) using pistachio Vera Pericarp essential oil (PVEO) as a coating. It was measured the anti-cancer properties of these nanoparticles and their combined effects with zoledronic acid on human prostate (LNCap) and breast cancer cells (MCf7). Scanning electron microscopy (SEM) and X-ray diffractometry (XRD) were employed to examine the characteristics of the CeO2 NPs. SEM and XRD analyses confirmed the nanoparticles' size, shape, phase, and chemical composition. Biological tests demonstrated that the CeO2 NPs showed significant cytotoxic activity against LNCap and MCf7 cells, CeO2 NPs alone or with ZA reduced LNCaP and Mcf-7 cell viability. The CeO2 NPs effectively influenced cell proliferation, apoptosis, and migration by modulating the expression of apoptosis-related genes (BCL-2 and BAX), as indicated by real-time PCR results. The study also discovered that when combined with ZA, PVEO had a synergistic effect on LNCap and MCf7 cell lines. Overall, the study suggests that CeO2 NPs derived from PVEO have the potential to be a new therapeutic agent for prostate and breast cancers.
An accurate and robust RGB-D visual SLAM method in dynamic environments
Authors: Li Zhen , Zhang Xinguang , Fan Lihao , Li Jiahao 
Published: October 2024

Abstract

Traditional SLAM systems have achieved good robustness in static environments. However, the presence of dynamic objects in real-world environments can significantly reduce their localization accuracy. This paper introduces a dynamic SLAM system that combines semantic segmentation with epipolar constraints. The system can detect and remove dynamic points in dynamic environments, achieving good localization performance and generating dense point cloud maps. Initially, the system employs the YOLOv5 deep learning network to extract semantic information from images, thereby generating prior semantic masks for dynamic objects. Subsequently, a novel method for eliminating dynamic feature points is introduced. This method utilizes an adaptive threshold correlated with depth, integrating semantic prior information and epipolar constraint geometric information to further assess the motion state of feature points, thereby removing dynamic points. Finally, a dense point cloud map is produced in dynamic environments by integrating depth information with semantic information. Experiments conducted on the TUM dataset indicate that, compared to ORBSLAM2, the proposed system achieves an average localization accuracy improvement of 95\% in highly dynamic sequences, demonstrating the algorithm's effectiveness in enhancing localization accuracy in dynamic environments.