bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sociopsichologinė mokinių adaptacija integruoto ugdymo aplinkoje
Authors: Samsonienė Laimutė , Gasiūnaitė Greta 
Published: October 2024

Straipsnyje atskleidžiamos mokinių sociopsichologinės adaptacijos problemos, kylančios integruoto ugdymo aplinkoje siekiant sėkmingos inkliuzinio ugdymo perspektyvos. Mokslinio tyrimo prielaidos rėmėsi asmens apsisprendimo teorijos nuostata, kad išsikeltų gyvenimo tikslų įgyvendinimas ir psichologinė gerovė priklauso nuo asmens savikontrolės. Lietuvoje neįgaliųjų integracijos procesas prasidėjo 1993 m., išleidus Švietimo ir mokslo ministerijai pirmąją instrukciją dėl integruoto ugdymo bendrojo lavinimo mokyklose. Šiuo metu, vadovaujantis teisiniais dokumentais, skirtais neįgaliesiems suteikti galimybę gauti vienodas sąlygas gyventi pilnavertišką ir orų gyvenimą, turime pažymėti, kad Lietuvoje dar nėra sukurto neįgaliųjų integracijos visuomenėje modelio, kuris veiktų kaip vientisas politinių, ekonominių, socialinių interesų bei neįgaliųjų ugdymo ir išsilavinimo mechanizmas. Tyrimo metu sukaupta naujų duomenų apie įgalių ir neįgalių mokinių, besimokančių integruoto tipo ugdymo mokykloje, sociopsichologinės adaptacijos problemas, kylančias bendraujant ir bendradarbiaujant bendroje ugdymo aplinkoje.
Metaphor of Existence: Seafaring and Shipwreck
Authors: Vidauskytė Lina 
Published: October 2024

The paper focuses on the metaphor of existence as a way of philosophical talking about life. Metaphorology was introduced by Hans Blumenberg (1920–1996), one of the most important and innovative thinkers of the 20th century. The works of Blumenberg fall generally within the category of the hermeneutics of metaphor. It is, for him, the question of substituting the study of the more hidden work of metaphors, symbols, and myths for the traditional history of concepts and doctrines. One can say there are two inextricable elements of Blumenberg’s thought: (1) a theory of nonceptuality as essential to philosophizing and (2) an exploration of culture understood as humanity’s unceasing attempts to relieve itself of the weight of the absolutism of reality. Metaphors play an important role in the philosophical language: they are not impediments to clear thinking and clear expression, but rather they are images, iconic constants used by philosophers. Metaphors are able to grasp the reality better than philosophical concepts. According to Blumenberg, metaphors are a kind of reality models, the work of human imagination. One of such models is the metaphor of seafaring/shipwreck and the present article focuses on multiple actualisations of the metaphor in Blumenberg’s philosophy.
Nemzetségös nyavalya – újabban, korszerűbben: „öröklődő betegség”
Authors: Nyáry Szabó László 
Published: October 2024

A nyavalya címszó alatt szerepel Bálint Sándor Szegedi szótárában a nemzetségös nyavalya (1a). Itt találtam rá nyavalyakutatás közben. De már Kálmány Lajos is említi Szeged népe című könyvében: „nemzetségös nyavalya nállu(n)k az ivás” (3). Ez a nemzetségös nyavalya részben az ivás öröklődő társadalmi hagyománya, részben a részegességre – tágabb tekintetben a(z élvezeti) szerfüggőségre – való hajlam; régi görög-latin szóval tetszelegve a toxicomania.
Evaluación de las competencias laborales desde la perspectiva de los titulados universitarios
Authors: Cortejoso Lino María , Bartolomé Muñoz de Luna Angel , Martín Gómez Sonia 
Published: October 2024

El objetivo principal de esta investigación es analizar si la formación en competencias de los titulados de una universidad española facilita la empleabilidad de calidad y la satisfacción de los estudiantes.
Para ello, se realizaron un total de 1.383 entrevistas entre diciembre de 2023 y abril de 2024. Esta muestra fue evaluada mediante un modelo de ecuaciones estructurales con Smart PLS 4, permitiendo analizar la fiabilidad y validez de las relaciones entre variables causales, latentes y manifiestas, tal y como se hipotetizó inicialmente.
Por último, el modelo confirma la estrecha relación entre la variable dependiente y las variables independientes, estableciendo el efecto directo de las competencias sobre la empleabilidad, la calidad del empleo y la satisfacción de los estudiantes.
Strengthening MSME Financial Reports: The Influence of Accounting Knowledge and Education, Moderated by SAK EMKM Socialization
Authors: Erlina Widayanti Djatnicka  , Dian Sulistyorini Wulandari  , Mainatul Khasanah  
Published: October 2024

This study investigates the influence of Accounting Knowledge and Education on the quality of MSME financial reports, focusing on the moderating role of SAK EMKM Socialization (Indonesian Financial Accounting Standards for Micro, Small, and Medium Enterprises). Using survey data collected from MSME operators, the research reveals that accounting knowledge has a strong positive relationship with financial reporting quality. Education also plays a positive but weaker role, suggesting significant potential for improvement. The study finds that the socialization of SAK EMKM significantly improves the quality of MSME financial reports but does not moderate the relationship between either accounting knowledge or education and financial report quality. These findings suggest that education and accounting knowledge are fundamental in improving MSME financial reporting practices, while SAK EMKM socialization is more effective for MSMEs with limited financial literacy. This research highlights the need for tailored training programs and socialization efforts to address the specific needs of MSMEs, ensuring that all operators, regardless of educational background, can produce high-quality financial reports in line with established standards.
An interpretable deep learning model for detecting BRCA pathogenic variants of breast cancer from hematoxylin and eosin-stained pathological images
Authors: Li Yi , Xiong Xiaomin , Liu Xiaohua , Wu Yihan , Li Xiaoju , Liu Bo , Lin Bo , Li Yu , Xu Bo 
Published: October 2024

Background
Determining the status of breast cancer susceptibility genes (BRCA) is crucial for guiding breast cancer treatment. Nevertheless, the need for BRCA genetic testing among breast cancer patients remains unmet due to high costs and limited resources. This study aimed to develop a Bi-directional Self-Attention Multiple Instance Learning (BiAMIL) algorithm to detect BRCA status from hematoxylin and eosin (H&E) pathological images.

Methods
A total of 319 histopathological slides from 254 breast cancer patients were included, comprising two dependent cohorts. Following image pre-processing, 633,484 tumor tiles from the training dataset were employed to train the self-developed deep-learning model. The performance of the network was evaluated in the internal and external test sets.

Results
BiAMIL achieved AUC values of 0.819 (95% CI [0.673–0.965]) in the internal test set, and 0.817 (95% CI [0.712–0.923]) in the external test set. To explore the relationship between BRCA status and interpretable morphological features in pathological images, we utilized Class Activation Mapping (CAM) technique and cluster analysis to investigate the connections between BRCA gene mutation status and tissue and cell features. Significantly, we observed that tumor-infiltrating lymphocytes and the morphological characteristics of tumor cells appeared to be potential features associated with BRCA status.

Conclusions
An interpretable deep neural network model based on the attention mechanism was developed to predict the BRCA status in breast cancer. Keywords: Breast cancer, BRCA, deep learning, self-attention, interpretability.
COADREADx: A comprehensive algorithmic dissection of colorectal cancer unravels salient biomarkers and actionable insights into its discrete progression
Authors: Palaniappan Ashok , Muthamilselvan Sangeetha , Sarathi Arjun 
Published: October 2024

Background
Colorectal cancer is a common condition with an uncommon burden of disease, heterogeneity in manifestation, and no definitive treatment in the advanced stages. Renewed efforts to unravel the genetic drivers of colorectal cancer progression are paramount. Early-stage detection contributes to the success of cancer therapy and increases the likelihood of a favorable prognosis. Here, we have executed a comprehensive computational workflow aimed at uncovering the discrete stagewise genomic drivers of colorectal cancer progression.

Methods
Using the TCGA COADREAD expression data and clinical metadata, we constructed stage-specific linear models as well as contrast models to identify stage-salient differentially expressed genes. Stage-salient differentially expressed genes with a significant monotone trend of expression across the stages were identified as progression-significant biomarkers. The stage-salient genes were benchmarked using normals-augmented dataset, and cross-referenced with existing knowledge. The candidate biomarkers were used to construct the feature space for learning an optimal model for the digital screening of early-stage colorectal cancers. The candidate biomarkers were also examined for constructing a prognostic model based on survival analysis.

Results
Among the biomarkers identified are: CRLF1, CALB2, STAC2, UCHL1, KCNG1 (stage-I salient), KLHL34, LPHN3, GREM2, ADCY5, PLAC2, DMRT3 (stage-II salient), PIGR, HABP2, SLC26A9 (stage-III salient), GABRD, DKK1, DLX3, CST6, HOTAIR (stage-IV salient), and CDH3, KRT80, AADACL2, OTOP2, FAM135B, HSP90AB1 (top linear model genes). In particular the study yielded 31 genes that are progression-significant such as ESM1, DKK1, SPDYC, IGFBP1, BIRC7, NKD1, CXCL13, VGLL1, PLAC1, SPERT, UPK2, and interestingly three members of the LY6G6 family. Significant monotonic linear model genes included HIGD1A, ACADS, PEX26, and SPIB. A feature space of just seven biomarkers, namely ESM1, DHRS7C, OTOP3, AADACL2, LPHN3, GABRD, and LPAR1, was sufficient to optimize a RandomForest model that achieved > 98% balanced accuracy (and performant recall) of cancer vs. normal on external validation. Design of an optimal multivariate model based on survival analysis yielded a prognostic panel of three stage-IV salient genes, namely HOTAIR, GABRD, and DKK1. Based on the above sparse signatures, we have developed COADREADx, a web-server for potentially assisting colorectal cancer screening and patient risk stratification. COADREADx provides uncertainty measures for its predictions and needs clinical validation. It has been deployed for experimental non-commercial use at: https://apalanialab.shinyapps.io/coadreadx/.
Exploring tumor endothelial cells heterogeneity in hepatocellular carcinoma: insights from single-cell sequencing and pseudotime analysis
Authors: Sun Jiachun , Zhang Shujun , Liu Yafeng , Liu Kaijie , Gu Xinyu 
Published: October 2024

Objective
This study aimed to explore the heterogeneity of tumor endothelial cells (TECs) in hepatocellular carcinoma (HCC) and their role in tumor progression, with the goal of identifying new therapeutic targets and strategies to improve patient prognosis.

Methods
Single-cell RNA sequencing data from nine primary liver cancer samples were analyzed, obtained from the Gene Expression Omnibus (GEO) database. Data preprocessing, normalization, dimensionality reduction, and batch effect correction were performed based on the Seurat package. HCC cell types were identified using uniform manifold approximation and projection (UMAP) and cluster analysis, and the different cell types were annotated using the CellMarker database. Pseudotime trajectory analysis was conducted with Monocle to explore the differentiation trajectory of TECs. MAPK signaling pathway activity and copy number variations (CNV) in TECs were analyzed in conjunction with data from The Cancer Genome Atlas (TCGA), the trans-well and wound healing assay was used for cell invasion and migration activity assessment.

Results
Two subgroups of TECs (TECs 1 and TECs 2) were identified, exhibiting distinct functional activities and signaling pathways. Specifically, TECs 1 may be involved in tumor cell proliferation and inflammatory responses, whereas TECs 2 is not only involved in cell proliferation pathways, but also enriched in pathways such as metabolic synthesis. Pseudotime analysis revealed dynamic changes in TECs subgroups during HCC progression, correlating specific gene expressions (such as PDGFRB, PGF, JUN, and NR4A1). Subsequently, the JUN gene was predicted by performing binding sites and was shown to act as a transcription factor that may regulate the expression of the PGF gene. CNV analysis highlighted key genes and pathways in TECs that might influence HCC progression, and the PGF as key regulatory factor mediated cell proliferation and migration.

Conclusion
The study revealed the heterogeneity of TECs in HCC and their potential roles in tumor progression, offering new perspectives and potential therapeutic targets for HCC molecular mechanisms. The findings emphasize the importance of further exploring TECs heterogeneity for understanding HCC pathogenesis and developing personalized treatment strategies.
The impact of maternal serum biomarkers on maternal and neonatal outcomes in twin pregnancies: a retrospective cohort study conducted at a tertiary hospital
Authors: Wu Hanglin , Yu Liming , Xie Zhen , Cai Hongxia , Wen Caihe 
Published: October 2024

Background
Prior prediction models used for screening preeclampsia (PE) in twin pregnancies were found to be inadequate. In singleton pregnancies, various maternal biomarkers have been shown to be correlated with negative pregnancy outcomes. However, the impact of these biomarkers in twin pregnancies remained uncertain.

Methods
A retrospective cohort study was carried out on 736 twin pregnancies at a tertiary hospital in Hangzhou, China. Multivariable logistic models were employed to examine the association between levels of serological markers and the likelihood of adverse pregnancy outcomes. The final logistic model was formulated as a user-friendly nomogram. The primary outcome assessed was the occurrence of PE. Results were presented as odds ratios (ORs) with corresponding 95% confidence intervals (CIs).

Results
The prevalence of PE in the study was 10.3%. When comparing women diagnosed with PE to those without, it was evident that the former group experienced a significantly higher risk of unfavorable maternal and neonatal outcomes. A multivariable logistic regression analysis revealed notable associations between various factors including maternal age, parity, gestational weight gain, a family history of hypertension, as well as levels of cholesterol, albumin, and creatinine and the risk of developing PE, with a significance level of P < 0.05. The concordance index for the constructed nomogram was determined to be 0.792 (95% CI: [0.739–0.844]). Furthermore, an increment of 1 * 1012/L in red blood cell (RBC) count was associated with more than a two-fold increase in the odds of experiencing adverse maternal outcomes (OR 2.247, 95% CI: [1.229–4.107]). However, no significant correlations were identified between any of the examined variables and neonatal outcomes.

Conclusions
In this study, we developed a user-friendly predictive model that achieves notable detection rates by incorporating maternal serum biomarker levels alongside maternal characteristics and medical history. Our findings indicate that the probability of adverse maternal outcomes increases with elevated levels of RBCs. Obstetricians should consider intensifying surveillance for these women in clinical practice.
Der Richter und sein Lenker
Authors: Schirrmeister Véronique 
Published: October 2024

Zusammenfassung
Der Beitrag befasst sich mit den normativen Evaluationskriterien für richterliches Entscheiden, die sich aus den Rechtskonzeptionen von Dworkin und Hart ableiten lassen. Aus diesen werden Rückschlüsse auf die Legitimität strategischer Prozessführung gezogen. Aus Harts Perspektive können transformatorische Gerichtsentscheidungen nicht als Teil der Rechtsanwendung angesehen werden. Bei Dworkin hingegen sind sie legitim, wenn sie die bestmögliche Interpretation der Rechtspraxis als Ganzes darstellen. Eine Beurteilung strategischer Prozessführungspraktiken setzt deshalb ein Bekenntnis zu einem Rechtsentwurf voraus.
Fragmented Canopies Control the Regimes of Gravity Current Development
Authors: Barcelona Aina , Serra Teresa , Colomer Jordi 
Published: February 2018

AbstractCoastal ecosystems (marine littoral regions, wetlands, and deltas) are regions of high biological productivity. However, they are also one of the world's most threatened ecosystems. Wetlands are characterized by aquatic vegetation adapted to high salinity levels and climatic variations. Wetland canopies buffer these hydrodynamic and atmospheric variations and help retain sediment by reducing current velocity during sea storms or runoff after periods of rain. This work focuses on the effect of the presence of a gap (i.e., nonvegetated zone) parallel to the direction of the main current has on the sedimentation and hydrodynamics of a gravity current. The study aims to (1) address the behavior of a gravity current in a vegetated region compared to one without vegetation (i.e., the gap), (2) determine the effect gap size has on how a gravity current evolves, and 3) determine the effect gap sizes have on the sedimentary rates from a gravity current. Laboratory experiments were carried out in a flume using four different sediment concentrations, four different canopy densities (884, 354, 177, and 0 plants·m−2) and three different gap widths (H/2, H, and 1.5H, where H is the height of the water). This work shows that a gravity current's evolution and its sedimentary rates depend on the fractional volume occupied by the vegetation. While current dynamics in experiments with wider gaps are similar to the nonvegetated case, for smaller gaps the dynamics are closer to the fully vegetated case. Nonetheless, the gravity current exhibits the same behavior in both the vegetated region and the gap.
Bio‐Optical Data Assimilation With Observational Error Covariance Derived From an Ensemble of Satellite Images
Authors: Shulman Igor , Gould Richard W. , Frolov Sergey , McCarthy Sean , Penta Brad , Anderson Stephanie , Sakalaukus Peter 
Published: February 2018

AbstractAn ensemble‐based approach to specify observational error covariance in the data assimilation of satellite bio‐optical properties is proposed. The observational error covariance is derived from statistical properties of the generated ensemble of satellite MODIS‐Aqua chlorophyll (Chl) images. The proposed observational error covariance is used in the Optimal Interpolation scheme for the assimilation of MODIS‐Aqua Chl observations. The forecast error covariance is specified in the subspace of the multivariate (bio‐optical, physical) empirical orthogonal functions (EOFs) estimated from a month‐long model run. The assimilation of surface MODIS‐Aqua Chl improved surface and subsurface model Chl predictions. Comparisons with surface and subsurface water samples demonstrate that data assimilation run with the proposed observational error covariance has higher RMSE than the data assimilation run with “optimistic” assumption about observational errors (10% of the ensemble mean), but has smaller or comparable RMSE than data assimilation run with an assumption that observational errors equal to 35% of the ensemble mean (the target error for satellite data product for chlorophyll). Also, with the assimilation of the MODIS‐Aqua Chl data, the RMSE between observed and model‐predicted fractions of diatoms to the total phytoplankton is reduced by a factor of two in comparison to the nonassimilative run.
Three‐Dimensional Ageostrophic Motion and Water Mass Subduction in the Southern Ocean
Authors: Buongiorno Nardelli B. , Mulet S. , Iudicone D. 
Published: February 2018

AbstractVertical velocities at the ocean mesoscale are several orders of magnitude smaller than corresponding horizontal flows, making their direct monitoring a still unsolved challenge. Vertical motion is generally retrieved indirectly by applying diagnostic equations to observation‐based fields. The most common approach relies on the solution of an adiabatic version of the Omega equation, neglecting the ageostrophic secondary circulation driven by frictional effects and turbulent mixing in the boundary layers. Here we apply a diabatic semigeostrophic diagnostic model to two different 3‐D reconstructions covering the Southern Ocean during the period 2010–2012. We incorporate the effect of vertical mixing through a modified K‐profile parameterization and using ERA‐interim data, and perform an indirect validation of the ageostrophic circulation with independent drifter observations. Even if horizontal gradients and associated vertical flow are likely underestimated at 1/4° × 1/4° resolution, the exercise provides an unprecedented relative quantification of the contribution of vertical mixing and adiabatic internal dynamics on the vertical exchanges along the Antarctic Circumpolar Current. Kinematic estimates of subduction rates show the destruction of poleward flowing waters lighter than 26.6 kg/m3 (14 ÷ 15 Sv) and two main positive bands associated with the Antarctic Intermediate Water (7 ÷ 11 Sv) and Sub‐Antarctic Mode Waters (4 ÷ 7 Sv) formation, while Circumpolar Deep Water upwelling attains around 3 ÷ 6 Sv. Diabatic and adiabatic terms force distinct spatial responses and vertical velocity magnitudes along the water column and the restratifying effect of adiabatic internal dynamics due to mesoscale eddies is shown to at least partly compensate the contribution of wind‐driven vertical exchanges to net subduction.
Seismic Characterization of Oceanic Water Masses, Water Mass Boundaries, and Mesoscale Eddies SE of New Zealand
Authors: Gorman Andrew R. , Smillie Matthew W. , Cooper Joanna K. , Bowman M. Hamish , Vennell Ross , Holbrook W. Steven , Frew Russell 
Published: February 2018

AbstractThe Subtropical and Subantarctic Fronts, which separate Subtropical, Subantarctic, and Antarctic Intermediate Waters, are diverted to the south of New Zealand by the submerged continental landmass of Zealandia. In the upper ocean of this region, large volumes of dissolved or suspended material are intermittently transported across the Subtropical Front; however, the mechanisms of such transport processes are enigmatic. Understanding these oceanic boundaries in three dimensions generally depends on measurements collected from stationary vessels and moorings. The details of these data sets, which are critical for understanding how water masses interact and mix at the fine‐scale (<10 m) to mesoscale (10–100 km), are inadequately constrained due to resolution considerations. Southeast of New Zealand, high‐resolution seismic reflection images of oceanic water masses have been produced using petroleum industry data. These seismic sections clearly show three main water masses, the boundary zones (fronts) between them, and associated thermohaline fine structure that may be related to the mixing of water masses in this region. Interpretations of the data suggest that the Subtropical Front in this region is a landward‐dipping zone, with a width that can vary between 20 and 40 km. The boundary zone between Subantarctic Waters and the underlying Antarctic Intermediate Waters is also observed to dip landward. Several isolated lenses have been identified on the three data sets, ranging in size from 9 to 30 km in diameter. These lenses are interpreted to be mesoscale eddies that form at relatively shallow depths along the south side of the Subtropical Front.