bluuebunny/crossref_metadata_2025_split huggingface dataset:
A thematic analysis of ransomware incidents among United States hospitals, 2016–2022
Authors: Munoz Cornejo Gilbert , Lee Joonghee , Russell Benjamin A. 
Published: July 2024

Abstract
Purpose
To characterize the patterns, vulnerabilities, and responses associated with ransomware incidents in U.S. hospitals.

Methods
The study employs qualitative thematic analysis of ransomware incidents in U.S. hospitals from 2016 to 2022. Data were collected from the U.S. Department of Health and Human Services (HHS) Office for Civil Rights (OCR) public portal, and 65 cases were analyzed using NVivo 14 software.

Findings
Seven major themes emerged: (1) scale of ransomware, with incidents impacting a large number of individuals through diverse methods such as phishing and exploiting server vulnerabilities; (2) extent of protected health information vulnerability, with incidents often compromising sensitive health data, treatment records, and personal identifiers; (3) response and notification protocols, where hospitals demonstrate systematic responses including mandatory notifications to HHS, the media, and affected individuals; (4) implementation of safeguards, where hospitals have implemented immediate and long-term security measures post-attack; (5) investigation and regulatory compliance, where each attack is internally investigated, or with third-parties, while OCR conducts compliance reviews to guide corrective actions; (6) third-party involvement, highlighting the significant role of business associates (BAs) in incidents; (7) victim support and services, where hospitals frequently provide credit monitoring and identity protection services.

Conclusions
The study reveals the increasing prevalence of ransomware attacks targeting hospitals, highlighting significant vulnerabilities and the critical need for enhanced security measures. The findings suggest areas for future research, including the effectiveness of security practices and the long-term impacts on affected individuals.
Novel associations between MTDH gene polymorphisms and invasive ductal breast cancer: a case–control study
Authors: Huang Yan , Dai Dan , Zhu Li , Qi Xianzhong 
Published: July 2024

Abstract
Objective
To reveal the contributing effects of MTDH gene SNPs in the risk of invasive ductal breast cancer (IDC).

Patients and methods
A case–control study was conducted, recruiting a total of 300 cases of IDC and 565 cancer-free controls from East China. Genotyping of three single-nucleotide polymorphisms (SNPs) in the MTDH gene was performed. Genomic DNA was extracted from peripheral blood samples of patients. The three SNPs (rs1311 T > C, rs16896059 G > A, rs2449512 A > G) in the MTDH gene were selected for detection using a TaqMan real-time polymerase chain reaction assay. The association between MTDH and the risk of IDC was analyzed employing an epidemiology case–control study and a multinomial logistic regression model.

Results
Among the three evaluated SNPs, rs1311 T > C, rs16896059 G > A, and rs2449512 A > G demonstrated a significant association with an increased risk of IDC. Furthermore, stratified analysis revealed that individuals carrying the rs1311 CC genotype, rs16896059 GA/AA genotypes, and rs2449512 GG genotype were more susceptible to developing IDC in subgroups of patients younger than 53 years, without family history of IDC, pre-menopause status, clinical stage 2, high grade, with no distant metastasis or invasion, Her2-positive type, ER positive, PR positive, and Ki67 cells less than 10%. However, carriers of the rs16896059 GA/AA genotypes and rs2449512 GG genotype had an elevate the risk of IDC in patients with tumor size larger than 2 cm, post-menopause status, clinical stage 3, with invasion, lymph node infiltration, ER negative, PR negative, Her2 negative, and Ki67 cells exceeding 10%. Compared to the reference haplotype TGA, haplotypes TAA, TAG, and TGG were significantly associated with an increased IDC risk.

Conclusion
In this study, we demonstrated a significant association between MTDH gene polymorphisms and an increased risk of IDC. Moreover, our findings suggested that MTDH gene polymorphisms could serve as a potential biomarker for IDC subtyping and therapeutic selection.
Assessing the groundwater quality of El Fahs aquifer (NE Tunisia) using multivariate statistical techniques and geostatistical modeling
Authors: Panagiotou Constantinos F. , Chekirbane Anis , Eliades Marinos , Papoutsa Christiana , Akylas Evangelos , Stylianou Marinos , Stathopoulos Nikolaos 
Published: July 2024

AbstractThis study is the first attempt to characterize the quality status of El Fahs aquifer by combining graphical tools, multivariate statistical techniques and traditional geostatistical methods. Water samples are collected from thirty-six observation wells during April 2016 to characterize the physicochemical properties of the aquifer. Subsequently, these samples are partitioned into three hydrochemically distinct water classes (i.e., C1, C2, and C3) using the K-means clustering method. Principal Component Analysis is used to reduce the dimensionality of the dataset prior performing the clustering computations, resulting in clusters of higher quality than the non-reduced case in terms of Silhouette coefficient. Piper diagram is used to display the chemical composition of the samples, revealing the dominant role of Mg–Ca–Cl water type for all three classes, whereas Sodium and Sulfate were found to be the second most important cations and anions respectively. Indicator kriging (IK) is used to identify the probability of occurrence of the hydrochemical classes beyond the sampling locations. It is found that Class 1, associated with fresh groundwater component, is most probable to occur at the central part of the plain, mainly due to the presence of a dense hydrological network, whereas Classes 2 (agricultural activities) and 3 (dissolution of evaporate geological formations) are expected to occur at the southern and northern regions respectively. IK also identified the regions associated with high levels of uncertainty, mostly occurring in a large portion of the northern area due to the absence of available hydrochemical information. The results showed that integration of graphical methods, multivariate statistical techniques and geostatistical modeling, is an efficient approach for characterizing the hydrochemical status of the aquifer system, to spatially optimize the groundwater monitoring well networks and quantify the uncertainty levels of the water classes in a systematic way.
A re-evaluation of Diaporthe: refining the boundaries of species and species complexes
Authors: Dissanayake Asha J. , Zhu Jin-Tao , Chen Ya-Ya , Maharachchikumbura Sajeewa S. N. , Hyde Kevin D. , Liu Jian-Kui 
Published: July 2024

AbstractDiaporthe is an important plant pathogenic genus, which also occurs as endophytes and saprobes. Many Diaporthe species that are morphologically similar proved to be genetically distinct. The current understanding of Diaporthe taxonomy by applying morphological characters, host associations and multi-gene phylogeny are problematic leading to overestimation/underestimation of species numbers of this significant fungal pathogenic genus. Currently, there are no definite boundaries for the accepted species. Hence, the present study aims to re-structure the genus Diaporthe, based on single gene phylogenies (ITS, tef, tub, cal and his), multi-gene phylogeny justified by applying GCPSR (Genealogical Concordance Phylogenetic Species Recognition) methodology as well as the coalescence-based models (PTP—Poisson Tree Processes and mPTP—multi-rate Poisson Tree Processes). Considering all available type isolates of Diaporthe, the genus is divided into seven sections while boundaries for 13 species and 15 species-complexes are proposed. To support this re-assessment of the genus, 82 Diaporthe isolates obtained from woody hosts in Guizhou Province in China were investigated and revealed the presence of two novel species and 17 previously known species. Synonymies are specified for 31 species based on molecular data and morphological studies. Dividing Diaporthe into several specific sections based on phylogenetic analyses can avoid the construction of lengthy phylogenetic trees of the entire genus in future taxonomic studies. In other words, when one conducts research related to the genus, only species from the appropriate section need to be selected for phylogenetic analysis.
Major colorectal surgery with Hugo™ RAS: initial experience of a German center and a review of the literature
Authors: Belyaev Orlin , Fahlbusch Tim , Slobodkin Illya , Uhl Wademar 
Published: July 2024

AbstractThe recently introduced Hugo RAS robotic platform has mostly been used for well standardized urologic and gynaecologic procedures. Experience with this new system in general surgery and especially in major colorectal surgery is very limited. This is a retrospective series of the first 25 consecutive non-selected colorectal surgeries performed at a single German center. The lessons learned from our initial experience are presented along with a systematic review of the currently available literature on this topic. Ten sigmoid and seven rectal resections, four right and one left hemicolectomies, two Hartmann’s reversals and an abdominoperineal resection were performed in 14 women and 11 men at the median age of 66 years for 12 benign findings and 13 malignancies. All procedures were performed using four robotic ports and a single 12 mm assistant port. Median docking, console and total operative times were 12, 170 and 270 min. Median blood loss was < 100 ml, and median stay was 8 days. The literature review identified five case series with a total of 23 colorectal procedures: 9 right and 1 left hemicolectomies, 5 ileocaecal, and 4 rectal and 4 sigmoid resections. Results corresponded to ours despite variations in setup used by different authors. A wide spectrum of major colorectal surgery can be safely and effectively performed with the Hugo RAS, even in a cohort of non-selected patients. Ongoing software and hardware upgrade, introduction of robotic energy devices and increasing surgical experience are expected to facilitate procedures and reduce duration of surgery.
BGS Distribution Deformation in BOTDR Induced by Self-Phase Modulation
Authors: Wu Haoting , Guo Wencun , Zhong Zixuan , Yin Guolu , Liu Tao , Zhu Tao 
Published: July 2024

AbstractWe report the numerical and experimental studies of the two-dimensional Brillouin gain spectrum (BGS) distribution deformation induced by the self-phase modulation in the Brillouin optical time domain reflectometry (BOTDR) with a 20.6 km sensing distance. The BGS distribution deformation is investigated by analyzing the evolution of the point spread function along the fiber in the two-dimensional model of the BOTDR. In the simulation and experimental results, the specific deformation degree of the BGS distribution induced by the self-phase modulation is related to the pump pulse profile, pump pulse peak power, BGS demodulation method, and detected scattered light component. By comprehensively analyzing the evolution of the point spread function induced by the self-phase modulation and using the image deconvolution, a typical BOTDR sensor with a 25 ns pump pulse reaches the 20 cm spatial resolution over the 20.6 km sensing fiber.
A critique of ‘Strong Beginnings’ initial teacher education reforms: mandating neuroscience as core curriculum within the ‘what works’ movement
Authors: Skourdoumbis Andrew , Rowe Emma 
Published: July 2024

Abstract
The paper studies the rise of neuroscience in initial teacher education, paying attention to the relatively recent Australian Government (2023) report titled ‘Strong Beginnings’. In taking up a critical policy sociology lens, we focus on the first priority within the reforms, which is mandating brain science and the ‘brain and learning’ as core curriculum within initial teacher education. The reforms will embed standardised curriculum into initial teacher education and tie this curriculum to graduate teacher standards, bracketed within prescribed texts, ideologies and agendas. The reforms are positioned within the ‘what works’ movement, increasing accreditation and certain types of evidence, and the role and authority of intermediary organisations, including the Australian Institute for Teaching and School Leadership (AITSL). It promotes research that has been paid for by the think tank Centre for Independent Studies and aligned with the Australian Education Research Organisation and Education Endowment Foundation. In this paper, we endeavour to highlight how the singular and narrow focus on brain-based approaches is not only reductionist, but also potentially generative of oppressive technologies. The mandating of standardised curriculum and brain science undermines educators, including initial teacher educators, and bolsters private interests in education. The standardisation of core curriculum, which will be tied to accreditation processes and graduate teacher standards, is underpinned by a punitive-accountability based approach. Furthermore, whilst it is less visible, these reforms contain brain science tropes redolent of eugenics and deficit framings of low socio-economic status students.
Spatial spillover effect of the enterprise sector on local residents’ income in Vietnam
Authors: Trinh Nhan Thanh , Choi Dohyeong , Lee Seongwoo 
Published: July 2024

AbstractThis study uses a panel data set from all 63 provinces in Vietnam and spatial regression models to investigate the spatial spillover effect of the enterprise sector on local residents’ income. The results show that expanding the enterprise sector can directly and indirectly increase local income. Although this spillover effect is positive and significant, it is smaller than the direct effect and gradually diminishes when the distance between provinces increases. For example, the estimation results applying the spatial Durbin model holding other variables constant show that a 10% increase in the enterprise capital volume in Ho Chi Minh City can raise local total income in this city, and first- and second-order neighbours by 0.53%, 0.22%, and 0.17%, respectively. This study provides novel evidence on the spatial spillover effect of the enterprise sector on local incomes using spatial econometric models. The findings offer valuable information for policymakers in planning enterprise sector development to improve local residents’ income in Vietnam.
Multifunctional Film Assembled from N-Doped Carbon Nanofiber with Co–N4–O Single Atoms for Highly Efficient Electromagnetic Energy Attenuation
Authors: Xu Jia , Li Bei , Ma Zheng , Zhang Xiao , Zhu Chunling , Yan Feng , Yang Piaoping , Chen Yujin 
Published: July 2024

AbstractSingle-atom materials have demonstrated attractive physicochemical characteristics. However, understanding the relationships between the coordination environment of single atoms and their properties at the atomic level remains a considerable challenge. Herein, a facile water-assisted carbonization approach is developed to fabricate well-defined asymmetrically coordinated Co–N4–O sites on biomass-derived carbon nanofiber (Co–N4–O/NCF) for electromagnetic wave (EMW) absorption. In such nanofiber, one atomically dispersed Co site is coordinated with four N atoms in the graphene basal plane and one oxygen atom in the axial direction. In-depth experimental and theoretical studies reveal that the axial Co–O coordination breaks the charge distribution symmetry in the planar porphyrin-like Co–N4 structure, leading to significantly enhanced dielectric polarization loss relevant to the planar Co–N4 sites. Importantly, the film based on Co–N4–O/NCF exhibits light weight, flexibility, excellent mechanical properties, great thermal insulating feature, and excellent EMW absorption with a reflection loss of − 45.82 dB along with an effective absorption bandwidth of 4.8 GHz. The findings of this work offer insight into the relationships between the single-atom coordination environment and the dielectric performance, and the proposed strategy can be extended toward the engineering of asymmetrically coordinated single atoms for various applications.
A Meta-learner approach to multistep-ahead time series prediction
Authors: Bahrpeyma Fouad , Ngo Vuong M. , Roantree Mark , McCarren Andrew 
Published: July 2024

AbstractThe utilization of machine learning has become ubiquitous in addressing contemporary challenges in data science. Moreover, there has been significant interest in democratizing the decision-making process for selecting machine learning algorithms, achieved through the incorporation of meta-features and automated machine learning techniques for both classification and regression tasks. However, this paradigm has not been readily applied to multistep-ahead time series prediction problems. Unlike regression and classification problems, which utilize independent variables not derived from the target variable, time series models typically rely on past values of the series to forecast future outcomes. The structure of a time series is often characterized by features such as trend, seasonality, cyclicality and irregularity. In our study, we illustrate how time series metrics representing these features, in conjunction with an ensemble-based regression Meta-Learner, were employed to predict the standardized mean square error of candidate time series prediction models. Our experiments utilized datasets covering a broad feature space, facilitating the selection of the most effective model by researchers. A rigorous evaluation was conducted to assess the performance of the Meta-Learner on both synthetic and real time series data.
Local 2-connected bow-tie structure of the Web and of social networks
Authors: Perekhodko Eugenia 
Published: July 2024

AbstractThe explosive growth of the Web and of social networks motivates the need for analyzing the macroscopic structure of their underlying graphs. Although the characterization of the structure of a graph with respect to its pairwise connectivity has been known for over 15 years, just one subsequent study analyzed the world inside the giant strongly connected component, where it has been shown that the largest strongly connected component has its own microscopic bow-tie structure defined with respect to pairwise 2-connectivity among its vertices. In this paper, we introduce the local microscopic bow-tie structure of the largest strongly connected component, demonstrating its self-similarity property. Our experiments, conducted on the several Web graphs and social networks demonstrate clear structural differences between considered Web and social networks.
Drought heightens severity of diseases caused by Botryosphaeria dothidea and Cryptostroma corticale and needs to be factored in to properly assess pathogenicity or fulfill Koch’s postulates
Authors: Garbelotto Matteo 
Published: July 2024

AbstractClimate change is driving the emergence of novel tree diseases at the global scale, requiring new approaches for the formal confirmation of the pathogenicity of novel pathogens on novel hosts. At the same time, predictive models need to account for the possible effect of environmental changes and of abiotic stressors on disease severity for all diseases. By wound-inoculating Botryosphaeria dothidea on potted California coast live oaks and Cryptostroma corticale on potted silver maples, simultaneously in well-watered and in water-deprived conditions, I show that drought conditions increase the severity of disease symptoms. I also show that, by including a water-stressed treatment, I can formally prove pathogenicity and fulfill Koch’s postulates for putative pathogens that could not be confirmed in the absence of the stressor. Additionally, I show that the inclusion of data obtained in water stress conditions increases the differentiation between symptoms caused by fungal infection vs. symptoms caused by wound trauma, thus reducing the possible effect of outliers, a significant problem affecting many trials for fulfilling Koch’s postulates conducted with a limited number of replicates. The availability of comparable datasets in the presence and the absence of an abiotic stressor allows for the calculation of an Environmental Disease Component Index. Positive values of the index indicate a significant role of environmental change in disease progression and identify those pathogens that must be modeled factoring in climatic stressors. I suggest that this index may be extremely valuable for identifying pathogens likely to become emergent as climate changes.
Impact of Diagnosis and Treatment of Chronic Endometritis on Outcomes Before Starting Assisted Reproductive Technology: A Retrospective Study
Authors: Sakai Kazuyoshi , Takehara Isao , Kaneko Hiromu , Nakamura Fumihiro , Nakai Nanako , Takahashi Kyoko , Matsukawa Jun , Matsuo Koki , Nagase Satoru 
Published: July 2024

AbstractThis study aimed to investigate the effect of diagnosis and treatment of chronic endometritis (CE) on the outcome of assisted reproductive technology (ART) with or without repeated implantation failure (RIF). This retrospective analysis included patients who underwent pathological examination for diagnosis of CE at Yamagata University Hospital. The examination was performed for all patients planned for ART with or without RIF. Patients who were examined within 6 months of the first oocyte retrieval or embryo transfer were included. We counted the number of CD138-positive cells within the endometrial stroma in patients’ specimens and analyzed the patients’ clinical information. Clinical rates of pregnancy and implantation were determined. A total of 80 women met the inclusion criteria: 13 CE-negative patients (17.3%) and 67 CE-positive patients (83.7%). A significant decrease was noted in the CD138-positive cell count between the first biopsy and second biopsy after CE treatment (p < 0.001). In addition, no significant differences were noted in ongoing pregnancy rates between the CE-negative patients and those who underwent CE treatment. The CD138-positive cell counts at first biopsy tended to be lower in each pregnancy group than in the non-pregnancy group. For patients planned to undergo ART, examination for diagnosis of CE with or without RIF could be considered. Pathological CD138-positive cell counts were considered useful for CE diagnosis and treatment decision-making. The study findings suggest the efficacy of antimicrobial agents in CE treatment, contributing to improved pregnancy outcomes.