bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feature extraction from unstructured texts as a combination of the morphological and the syntactic analysis and its usage in fake news classification tasks
Authors: Szabó Nagy Kitti , Kapusta Jozef , Munk Michal 
Published: September 2023

AbstractIn this paper, a new technique of feature extraction is proposed, which is considered an essential part of natural language processing. Feature extraction is the process of transformation of the unstructured text to a format which is recognizable by computers. This means a transformation to a vector of numbers. The study evaluates and compares the performance of three methods: M1, which is the baseline method TfIdf; M2, which combines TfIdf with POS tags; and M3, a novel technique called MDgwPosF that incorporates weighted TfIdf values based on word depths and the relative frequency of POS tags. The primary focus of the study is to assess and compare the performance of these methods, with particular emphasis on evaluating how M3 performs in comparison with M1 and M2. Two different datasets and feed-forward, LSTM and GRU neural networks were used in this study. The results showed that the feed-forward model with the proposed method MDgwPosF in moderate topology achieved the best performance across various measures. The dataset created automatically performed better than the manual dataset. The differences between methods and topologies were not statistically significant. Statistically significant differences between the classification models were proven. The MDgwPosF method achieved higher accuracy compared to the baseline TfIdf, indicating that incorporating additional information into the vector can enhance the performance of TfIdf.
Paraclinoid aneurysms clipping through an extradural sphenoid ridge keyhole approach
Authors: Nathal Edgar , Serrano-Rubio Alejandro , Benavides-Burbano Camilo Armando , Rodríguez-Rubio Héctor A. 
Published: September 2023

Abstract
Background
Paraclinoid aneurysms represent a challenge for neurosurgeons due to the anatomical complexity of this region. Then, innovative techniques such as the extradural sphenoid ridge approach are suitable for a safe microsurgical clipping.

Method
A description of the surgical technique was made by the senior author, a vascular neurosurgeon experienced with the use of this approach in the management of paraclinoid aneurysms exemplified through a clinical case.

Conclusion
Microsurgical clipping through an extradural sphenoid ridge keyhole approach for small and midsize paraclinoid aneurysms is an excellent treatment modality with good clinical and surgical results.
First detection and complete genome sequence of a new potexvirus naturally infecting Adenium obesum
Authors: Gauthier Marie-Emilie A. , Abeynayake Shamila W. , Lelwala Ruvini V. , McMaster Cassie A. , Eichner Robin , Morrison Jennifer , Elliott Candace E. , Fiorito Sonia , Dinsdale Adrian , Pattemore Julie , Barrero Roberto A. 
Published: September 2023

AbstractHere, we report the detection and complete genome sequence of a novel potexvirus, tentatively named “Adenium obesum virus X” (AobVX), isolated from Adenium obesum, that was sent for virus screening at Australian Government post-entry quarantine (PEQ) facilities after being imported into Australia from China. The AobVX genome is 6781 nucleotides in length excluding the poly(A) tail and is predicted to encode conserved potexvirus proteins and sequence motifs across five open reading frames. The RNA-dependent RNA polymerase of this virus shares the highest amino acid sequence similarity with that of nerine potexvirus 1 (58.7% identity) and nerine virus X (58.58% identity). This is the first report of a positive-sense single-stranded RNA virus in A. obesum related to members of the genus Potexvirus in the family Alphaflexiviridae.
Identification of divergent isolates of cherry latent virus 1 in Greek sweet cherry orchards
Authors: Orfanidou Chrysoula G. , Katsiani Asimina , Candresse Thierry , Marais Armelle , Gkremotsi Theodora , Drogoudi Pavlina , Kazantzis Konstantinos , Katis Nikolaos I. , Maliogka Varvara I. 
Published: September 2023

AbstractIn this study, samples collected from eight sweet cherry trees in northern Greece were analyzed by high-throughput sequencing for the presence of viruses. Bioinformatic analysis revealed the presence of divergent isolates of cherry latent virus 1 (CLV-1), a recently identified trichovirus in a sweet cherry accession imported into the USA from the Republic of Georgia. The complete genome sequences of seven CLV-1 isolates were determined, and phylogenetic analysis indicated that they belonged to a separate clade from the previously characterized Georgian isolate. A small-scale survey confirmed the presence of CLV-1 in 47 out of 151 sweet cherry samples tested, and partial sequencing of 15 isolates showed a high degree of nucleotide sequence similarity among them.
Analyzing CW EPR Spectra of Nitroxide Labeled Macromolecules
Authors: Altenbach Christian , Budil David 
Published: September 2023

AbstractHistorically, the primary result of an EPR experiment is the CW EPR spectrum, typically displayed as the first derivative of the absorption spectrum as a function of the magnetic field. Beyond very qualitative assessments, the detailed analysis of an experimental EPR spectrum is a difficult inverse problem. Given a set of parameters and a model, it is easy to calculate a spectrum, but given an EPR spectrum, it is a challenge to decide on the correct model and find all defining parameters of interest. Programs to simulate and fit CW EPR spectra have been around for a long time. Except for a very well-defined model system, an experimental spectrum of a spin labeled protein is typically a mix of multiple states. This article focuses on the analysis of the CW spectrum in several stages of detail, from qualitative to detailed. The use of the EPR lineshape fitting program MultiComponent developed in the Hubbell lab is used to illustrate common approaches to extract information relevant to protein structure, function, dynamics, and thermodynamics.
Mediating mechanisms of the relationship between exposure to deprivation and threat during childhood and adolescent psychopathology: evidence from the Millennium Cohort Study
Authors: Ning Ke , Gondek Dawid , Pereira Snehal M. Pinto , Lacey Rebecca E. 
Published: September 2023

AbstractThe key aim of our study was to examine pathways from exposure to childhood adversities (i.e., deprivation and threat) to adolescent psychopathology. The assessed mediating mechanisms included cognitive ability and emotion regulation, as proposed by the Dimensional Model of Adversity and Psychopathology (DMAP). The study comprised participants from the nationally representative Millennium Cohort Study. Latent scores for deprivation and threat were derived using confirmatory factor analysis from indicators collected when participants were at age of 9 months, 3 and 5 years. Cognitive ability was measured using the Verbal Similarities subscale of the British Ability Scales II at age 11, and emotion regulation was measured using emotion dysregulation subscale of the Child Social Behavioural Questionnaire at age 7. Psychopathology, defined as psychological distress, was assessed using the Kessler 6 scale at age 17. We conducted causal mediation analysis adjusting for multiple confounding factors. We did not find total effect of either exposure to deprivation or threat on psychological distress, but we did find significant indirect effects of exposure to deprivation on psychological distress via cognitive ability (− 0.11, 95% CI − 0.20 to − 0.05) and emotion regulation (0.03, 0.02 to 0.12), and exposure to threat on psychological distress via cognitive ability (− 0.04, − 0.07 to − 0.01) and emotion regulation (0.09, 0.03 to 0.15). The lack of associations between deprivation or threat and psychological distress may be due to reporting bias or developmental period of psychopathology. Results of mediation analysis partially support the DMAP but indicate limited benefits to reduce adolescent psychological distress by targeting cognitive ability or emotion regulation to those exposed to childhood adversities.
A review and evaluation of elastic distance functions for time series clustering
Authors: Holder Christopher , Middlehurst Matthew , Bagnall Anthony 
Published: September 2023

AbstractTime series clustering is the act of grouping time series data without recourse to a label. Algorithms that cluster time series can be classified into two groups: those that employ a time series specific distance measure and those that derive features from time series. Both approaches usually rely on traditional clustering algorithms such as k-means. Our focus is on partitional clustering algorithms that employ elastic distance measures, i.e. distances that perform some kind of realignment whilst measuring distance. We describe nine commonly used elastic distance measures and compare their performance with k-means and k-medoids clusterer. Our findings, based on experiments using the UCR time series archive, are surprising. We find that, generally, clustering with DTW distance is not better than using Euclidean distance and that distance measures that employ editing in conjunction with warping are significantly better than other approaches. We further observe that using k-medoids clusterer rather than k-means improves the clusterings for all nine elastic distance measures. One function, the move–split–merge (MSM) distance, is the best performing algorithm of this study, with time warp edit (TWE) distance a close second. Our conclusion is that MSM or TWE with k-medoids clusterer should be considered as a good alternative to DTW for clustering time series with elastic distance measures. We provide implementations, extensive results and guidance on reproducing results on the associated GitHub repository.
Can contralateral lymph-node metastases be ruled out in prostate cancer patients with only unilaterally positive prostate biopsy?
Authors: Michalik Bianca , Engels Svenja , Kampmeier Leonie , Dirks Lena , Henke R.-Peter , Wawroschek Friedhelm , Winter Alexander 
Published: September 2023

Abstract
Purpose
Our study evaluated the diagnostic benefits of bilateral pelvic lymphadenectomy in prostate cancer patients with unilaterally positive prostate biopsy.

Methods
Our retrospective analysis included clinical, surgical, and histopathological data of 440 prostate cancer patients treated with radical prostatectomy and bilateral sentinel-guided and risk-adapted complementary extended pelvic lymphadenectomy at our hospital between 2015 and 2022. We performed multiparametric logistic regression analysis to identify the most relevant predictive factors for detecting lymph-node metastasis in this group of patients.

Results
Overall, 373 patients (85%) had histopathologically bilateral tumours and 45 (10%) pN1 status, of which 22 (49%) also had lymph-node metastasis contralateral to the side of the positive prostate biopsy. In two patients with confirmed unilateral disease in prostatectomy specimens, bilateral lymph-node metastases were observed. Eight pN1 patients would have been missed by unilateral pelvic lymphadenectomy, resulting in a false-negative rate of 18%, 82% sensitivity, and 98% accuracy. Clinical tumour category, International Society of Urological Pathology grade, and percentage of prostate biopsy cores that are positive, as well as number of dissected lymph nodes contralateral to positive prostate biopsy, were determined as the most relevant predictive factors for detecting lymph-node metastasis. Our analysis was limited by its retrospective nature as well as by the fact that 80% of the patients did not receive MRI-targeted biopsy.

Conclusion
Our study highlights the diagnostic value of bilateral pelvic lymphadenectomy and the need for careful planning in surgery for prostate cancer patients with unilaterally positive prostate biopsy.
FacialCueNet: unmasking deception - an interpretable model for criminal interrogation using facial expressions
Authors: Nam Borum , Kim Joo Young , Bark Beomjun , Kim Yeongmyeong , Kim Jiyoon , So Soon Won , Choi Hyung Youn , Kim In Young 
Published: September 2023

AbstractPolygraphs are used in criminal interrogations to detect deception. However, polygraphs can be difficult to administer under circumstances that prevent the use of biosensors. To address the shortcomings of the biosensors, deception-detection technology without biosensors is needed. We propose a deception-detection method, FacialCueNet, which is a multi-modal network that utilizes both facial images and facial cues based on deep-learning technology. FacialCueNet incorporates facial cues that indicate deception, such as action-unit frequency, symmetry, gaze pattern, and micro-expressions extracted from videos. Additionally, the spatial-temporal attention module, based on convolutional neural network and convolutional long short-term memory, is applied to FacialCueNet to provide interpretable information from interrogations. Because our goal was developing an algorithm applicable to criminal interrogations, we trained and evaluated FacialCueNet using the DDCIT dataset, which was collected using a data acquisition protocol similar to those used in actual investigations. To compare deception-detection performance with state-of-the-art works, a public dataset was also used. As a result, the mean deception-detection F1 score using the DDCIT dataset was 81.22%, with an accuracy of 70.79%, recall of 0.9476, and precision of 0.7107. When evaluating against the public database, our method demonstrated an evaluation accuracy of 88.45% and achieved an AUC of 0.9541, indicating a improvement of 1.25% compared to the previous results. We also present interpretive results of deception detection by analyzing the influence of spatial and temporal factors. These results show that FacialCueNet has the potential to detect deception using only facial videos. By providing interpretation of predictions, our system could be useful tool for criminal interrogation.
Nativity differences in socioeconomic barriers and healthcare delays among cancer survivors in the All of Us cohort
Authors: Arizpe Angel , Navarro Stephanie , Ochoa-Dominguez Carol Y. , Rodriguez Claudia , Kim Sue E. , Farias Albert J. 
Published: September 2023

Abstract
Purpose
We aimed to assess whether nativity differences in socioeconomic (SES) barriers and health literacy were associated with healthcare delays among US cancer survivors.

Methods
“All of Us” survey data were analyzed among adult participants ever diagnosed with cancer. A binary measure of healthcare delay (1+ delays versus no delays) was created. Health literacy was assessed using the Brief Health Literacy Screen. A composite measure of SES barriers (education, employment, housing, income, and insurance statuses) was created as 0, 1, 2, or 3+. Multivariable logistic regression model tested the associations of (1) SES barriers and health literacy with healthcare delays, and (2) whether nativity modified this relationship.

Results
Median participant age was 64 years (n = 10,020), with 8% foreign-born and 18% ethnic minorities. Compared to survivors with no SES barriers, those with 3+ had higher likelihood of experiencing healthcare delays (OR 2.18, 95% CI 1.84, 2.58). For every additional barrier, the odds of healthcare delays were greater among foreign-born (1.72, 1.43, 2.08) than US-born (1.27, 1.21, 1.34). For every 1-unit increase in health literacy among US-born, the odds of healthcare delay decreased by 9% (0.91, 0.89, 0.94).

Conclusion
We found that SES barriers to healthcare delays have a greater impact among foreign-born than US-born cancer survivors. Higher health literacy may mitigate healthcare delays among US cancer survivors. Healthcare providers, systems and policymakers should assess and address social determinants of health and promote health literacy as a way to minimize healthcare delays among both foreign- and US-born cancer survivors.
Towards more sustainable Water, Sanitation and Hygiene (WASH) projects in Magway Region, Myanmar
Authors: Win Cho Zin , Jawjit Warit , Thongdara Romanee , Gheewala Shabbir H. , Prapaspongsa Trakarn 
Published: September 2023

AbstractClean water and sanitation are essential for human development. Governments, international and national aid organizations have implemented water, sanitation, and hygiene (WASH) projects worldwide, notably in low- and middle-income countries. However, the majority of such projects experience failure. As a result, 2.4 billion people worldwide are deprived of improved WASH services. Research revealing how WASH projects can be sustained and which factors need to be considered is crucial. Despite the gap and its importance, existing studies on the sustainability assessment of WASH projects are limited. This study attempted to assess and compare the sustainability of WASH projects in Myanmar that used the Community Led Total Sanitation (CLTS) and Participatory Hygiene and Sanitation Transformation (PHAST) approaches with the “Sustainability Check” developed by The United Nations Children’s Fund (UNICEF). This research also evaluated the extent to which WASH projects contributed to the Myanmar National WASH Strategy. The study results show that both CLTS and PHAST project operations fully met the sustainability standards regarding accessibility and intra-village equity. Other sustainability indicators, such as water quality, use of sanitation facilities, and handwashing facilities, were at or above 85% and had already met the 2025 national targets. In contrast, handwashing practices have reached the 2030 national targets. The findings revealed that technical factors, institutional factors (at the community level), social, financial, and sanitation factors contributed to WASH project sustainability. The results also highlight the need for strengthening collaboration with local government to ensure that communities receive post-implementation support from local authorities, to encourage community participation and foster sense of ownership, to empower community-based bodies for O&M and monitoring of water and sanitation facilities, to integrate appropriate behavioral change activities, and to align with the National WASH Strategy. This study would be beneficial for WASH practitioners to ensure the inclusion of factors that support sustainability in the execution of future WASH projects.
Graphical abstract
Scientific representation and science identity: the case of chemistry
Authors: Sánchez Gómez Pedro J. 
Published: September 2023

AbstractI put forward an inferentialist account of Lewis structures (LSs). In this view, the role of LSs is not to realistically depict molecules, but instead to allow surrogate reasoning and inference in chemistry. I also show that the usage of LSs is a central part of a person’s identity as a chemist, as it is defined within educational identity theory. Taking these conclusions together, I argue that the inferentialist approach to LSs and chemistry identity theory can be studied in parallel, as two complementary sides of the same research programme.
Gendered Division of Housework in Slovak Couples: Life Course and Other Factors
Authors: Boďa Martin , Považanová Mariana , Nedelová Gabriela , Vallušová Anna 
Published: September 2023

AbstractThe paper examines factors that explain the allocation of time and the gendered division of routine, non-routine and care activities in Slovak households. It departs from the extant literature in three notable respects. First, the division of household labor between partners is studied for Slovakia, a former Socialist country with a specific family and societal context, where female labor force participation evolved differently from Western market economies. Second, in conjunction with the established theories of gendering housework (the time availability, relative resources and gender ideology hypotheses), the explanation takes a life course perspective that breaks households down into five life stages by the presence and age of children. Third, the methodology considers simultaneity in the time spent on different tasks and in its division between the genders by adopting a model of seemingly unrelated regression equations. Slovak males are found to spend on average more time in paid employment and devote far fewer hours to unpaid routine housework than females do. Life cycle stages are found to be a reliable predictor especially for hours spent and the gendered division of care work. Life stages are manifested mainly in time use of women, whereas men adjust their time use only when their assistance is needed with children. Time allocation and the gendered division of routine and non-routine chores are primarily explained by income-based and education-based relative resources, whilst patterns of care work are in line with the life course rather than explained by time availability.
Equipment-process-strategy integration for sustainable machining: a review
Authors: Wang Lianguo , Cai Wei , He Yan , Peng Tao , Xie Jun , Hu Luoke , Li Li 
Published: September 2023

AbstractAlthough the manufacturing industry has improved the quality of processing, optimization and upgrading must be performed to meet the requirements of global sustainable development. Sustainable production is considered to be a favorable strategy for achieving machining upgrades characterized by high quality, high efficiency, energy savings, and emission reduction. Sustainable production has aroused widespread interest, but only a few scholars have studied the sustainability of machining from multiple dimensions. The sustainability of machining must be investigated multidimensionally and accurately. Thus, this study explores the sustainability of machining from the aspects of equipment, process, and strategy. In particular, the equipment, process, and strategy of sustainable machining are systematically analyzed and integrated into a research framework. Then, this study analyzes sustainable machining-oriented machining equipment from the aspects of machine tools, cutting tools, and materials such as cutting fluid. Machining processes are explored as important links of sustainable machining from the aspects of dry cutting, microlubrication, microcutting, low-temperature cutting, and multidirectional cutting. The strategies for sustainable machining are also analyzed from the aspects of energy-saving control, machining simulation, and process optimization of machine tools. Finally, opportunities and challenges, including policies and regulations toward sustainable machining, are discussed. This study is expected to offer prospects for sustainable machining development and strategies for implementing sustainable machining.