bluuebunny/crossref_metadata_2025_split huggingface dataset:
iSTART‐Early and Now I Can Read: Effective Reading Strategies for Young Readers
Authors: Watanabe Micah , Arner Tracy , McNamara Danielle 
Published: December 2023

AbstractStudents in the 3rd and 4th grade often encounter what has been called a reading “slump” when their class curriculums increasingly ask them to comprehend and learn from texts. Students are more likely to struggle if they have not been offered sufficient opportunities to build world and domain knowledge and engage in challenging comprehension tasks while developing their reading skills. Thus, it is essential to give young readers opportunities to build their world and domain knowledge and to teach them comprehension strategies such as asking questions, paraphrasing, and self‐explaining. This paper introduces iSTART‐Early, an intelligent tutoring system designed to provide instruction and practice opportunities for students to learn comprehension strategies and build knowledge about diverse topics. The theoretical foundations, history and efficacy, and design of iSTART‐Early are discussed.
Appropriate Drugs
Authors: Eleonorasdotter Emma 
Published: December 2023

AbstractThis chapter investigates the interviewees’ perceptions of the legitimacy of their own and others’ drug use. Here, the initial focus is on prescribed drugs and their connections to legality and propriety, but also to sickness and control. The division between medicines and drugs, and thus also their effects and cultural frameworks, is analysed as elusive and as the responsibility of patients to assess for themselves. The interviewees’ approach to drugs is analysed in a particular time and place, contemporary Sweden, where psychiatric medication is common and often prescribed. However, some interviewees resist such medications. For them, the use of illegal drugs, paradoxically in the light of their reputation, represents health and self-control. These women describe the use of illegal drugs in an appropriate way as having to do with personal strengths, but a closer look reveals that these “strengths” are in fact class-based resources.
Zukunftssicherung: Die Forschungslage
Authors: Gleißner Werner , Weissman Arnold 
Published: December 2023

ZusammenfassungZukunftsfähigkeit bedeutet zunächst, dass ein Unternehmen über sehr viele Jahre – über zehn Jahre oder gar ganze Generationen – überlebt, und zwar als grundsätzlich eigenständiges und unabhängiges Unternehmen. Überlebensfähigkeit ist Grundvoraussetzung für Zukunftsfähigkeit. Langfristige Überlebensfähigkeit bedeutet dabei aber weit mehr als ein geringes Insolvenzrisiko, wie es durch ein Rating-Verfahren beurteilt und eine Rating-Note ausgedrückt wird. In einem Rating wird nur die Wahrscheinlichkeit erfasst, dass ein Unternehmen durch Überschuldung oder Illiquidität insolvent wird, also die Bonität.
Nachhaltigkeit, ESG und QScore
Authors: Gleißner Werner , Weissman Arnold 
Published: December 2023

ZusammenfassungNachhaltigkeit, Lieferkettengesetz und Klimaschutz (CSRD) sind Themen speziell auch für mittelständische Familienunternehmen. Kunden, Mitarbeiter und zunehmend Kreditinstitute, private und institutionelle Investoren verlangen „mehr Nachhaltigkeit“ bzw. ein „nachhaltiges Geschäftsmodell“. Die Auswirkungen der Geschäftstätigkeit eines Unternehmens auf Umwelt und Klima, die Gleichstellung der Mitarbeiter und die Achtung der Menschenrechte gehören zu den „nachhaltigen“ Themen, die vielen Menschen aus verständlichen Gründen sehr relevant erscheinen.
Methode und Datengrundlage der empirischen Korpusstudien
Authors: Herzberg Laura 
Published: December 2023

ZusammenfassungIn einem ersten Schritt werden die verwendeten Korpora beschrieben, bevor im Anschluss die Abfrage-Software dieser Arbeit, d. h. die verwendeten Korpusrecherchesysteme im Abschnitt 5.2 vorgestellt werden. In Abschnitt 5.3 werden die für die Korpusstudien 2 und 3 relevanten Stichproben und deren Erhebung erläutert. Als nächster Punkt von Kapitel 5 wird in 5.4 der relevante Datenaufbereitungsschritt der Datenbereinigung um Pseudotreffer aufgeführt. Im letzten Abschnitt 5.5 wird die für Korpusstudie 2 und 3 gemessene Interrater-Reliabilität erläutert.
Korpusstudie 1: Formen von OKAY
Authors: Herzberg Laura 
Published: December 2023

ZusammenfassungKorpusstudie 1 überprüft, inwieweit Formvariationen von OKAY sprachspezifisch auftreten bzw. ob es in einer Sprache eine Form gibt, die bevorzugt von den Beitragenden verwendet wird. Darüber hinaus wird untersucht, ob sich für OKAY Form-Funktions-Zusammenhänge herausstellen lassen.
The action of geometric entropy in topologically massive gravity
Authors: Kaplan Molly 
Published: December 2023

AbstractDue to the presence of a gravitational anomaly in topologically massive gravity (TMG), the geometric entropy is no longer simply the Hubeny-Rangamani-Takayanagi (HRT) area; instead, it is given by the HRT area plus an anomalous contribution. We study the action of this geometric entropy on the covariant phase space of classical solutions for TMG with matter fields whose action is algebraic in the metric. The result agrees precisely with the action of HRT area operators in Einstein-Hilbert gravity given in [8], i.e., it is a boundary-condition-preserving kink transformation. Furthermore, we show our result to be consistent with direct computations of semiclassical commutators of geometric entropies in pure TMG spacetimes asymptotic to planar AdS, as computed in [21].
Erste klinische und onkologische Erfahrungen mit der Triplet-Therapie beim „high-volume“ metastasierten hormonsensiblen Prostatakarzinom
Authors: Wenzel Mike , Hoeh Benedikt , Kasparek Jan , Humke Clara , von Koskull Sophie , Chun Felix K. H. , Banek Séverine , Mandel Philipp 
Published: December 2023

Zusammenfassung
Hintergrund
Die Behandlung mittels Androgendeprivationstherapie (ADT) plus erweiterter Hormontherapie (ARTA) stellt die Standardtherapie beim metastasierten hormonsensiblen Prostatakarzinom (mHSPC) dar. Neue Daten von Triplet-Kombinationstherapien aus ADT + ARTA (Abirateron/Darolutamid) + Docetaxel-Chemotherapie zeigten einen Überlebensvorteil für gewisse mHSPC-Patientengruppen.

Fragestellung
Welches Therapieansprechen ist im Real-world-mHSPC-Setting mittels Triplet-Kombinationstherapie zu erwarten und welche Nebenwirkungen treten gehäuft auf?

Ergebnisse
Alle Patienten, die eine Triplet-Kombinationstherapie aus ADT + ARTA (Abirateron/Darolutamid) + Docetaxel erhalten haben, wurden für die vorliegende Studie eingeschlossen. Insgesamt konnten 14 Patienten mit einem medianen Alter von 62 Jahren und 10/14 Abirateron- bzw. 4/14 Darolutamid-Therapien inkludiert werden. Der mediane PSA vor Therapiebeginn lag bei 77 (IQR 44–150) ng/ml. Insgesamt hatten 86 % der Patienten einen PSA-Abfall > 90 % unter Therapie und der mediane PSA-Nadir lag bei 0,3 ng/ml. Schwerwiegende Nebenwirkungen (Grad III) unter der Triplet-Therapie traten bei insgesamt 2 Patienten (14,2 %) auf mit fieberhafter Neutropenie 7,1 % (1/14) bzw. Gastroenteritis und Infektgeschehen 7,1 % (1/14). Leichtgradige Nebenwirkungen (Grad I/II) wie Polyneuropathie (1/14), Mukositis (1/14), Xerostomie (1/14), Gewichtsverlust (1/14) und Fatigue (3/14) wurden ebenso detektiert. Die Chemotherapie wurde bei einem Patienten aufgrund von Nebenwirkungen unterbrochen. Nach einem medianen Follow-up von 10 (IQR: 7–17) Monaten zeigten sich 2 Patienten (14,2 %) mit Progression zu einer Kastrationsresistenz.

Zusammenfassung
Die Triplet-Therapie zeigt sich im klinischen Alltag mit einem sehr guten PSA-Ansprechen. Nebenwirkungen unter der Therapie sind v. a. durch die klassische Chemotherapie getriggert.
Identifying clusters of objective functional impairment in patients with degenerative lumbar spinal disease using unsupervised learning
Authors: Staartjes Victor E. , Klukowska Anita M. , Stumpo Vittorio , Vandertop W. Peter , Schröder Marc L. 
Published: December 2023

Abstract
Objectives
The five-repetition sit-to-stand (5R-STS) test was designed to capture objective functional impairment (OFI), and thus provides an adjunctive dimension in patient assessment. It is conceivable that there are different subsets of patients with OFI and degenerative lumbar disease. We aim to identify clusters of objectively functionally impaired individuals based on 5R-STS and unsupervised machine learning (ML).

Methods
Data from two prospective cohort studies on patients with surgery for degenerative lumbar disease and 5R-STS times of ≥ 10.5 s—indicating presence of OFI. K-means clustering—an unsupervised ML algorithm—was applied to identify clusters of OFI. Cluster hallmarks were then identified using descriptive and inferential statistical analyses.

Results
We included 173 patients (mean age [standard deviation]: 46.7 [12.7] years, 45% male) and identified three types of OFI. OFI Type 1 (57 pts., 32.9%), Type 2 (81 pts., 46.8%), and Type 3 (35 pts., 20.2%) exhibited mean 5R-STS test times of 14.0 (3.2), 14.5 (3.3), and 27.1 (4.4) seconds, respectively. The grades of OFI according to the validated baseline severity stratification of the 5R-STS increased significantly with each OFI type, as did extreme anxiety and depression symptoms, issues with mobility and daily activities. Types 1 and 2 are characterized by mild to moderate OFI—with female gender, lower body mass index, and less smokers as Type I hallmarks.

Conclusions
Unsupervised learning techniques identified three distinct clusters of patients with OFI that may represent a more holistic clinical classification of patients with OFI than test-time stratifications alone, by accounting for individual patient characteristics.
Development of a highly sensitive and eco-friendly high-performance thin-layer chromatography approach for the determination of empagliflozin, pioglitazone, and rosuvastatin simultaneously in pharmaceutical preparations and different biological fluids
Authors: El-Gizawy Samia M. , Atia Noha N. , Ali Marwa F. B. , Rushdy Doaa H. 
Published: December 2023

AbstractA simple, accurate, green and selective high-performance thin-layer chromatography (HPTLC) method has been developed and validated for the simultaneous estimation of empagliflozin, pioglitazone, and rosuvastatin in their synthetic ternary mixture and different biological fluids. These three drugs are used for the treatment of type 2 diabetes mellitus and dyslipidemia and have shown synergistic effects on cardiovascular outcomes. The ternary combination was separated on silica gel TLC plates G60 F254, utilizing a mixture of n-hexane‒ethyl acetate‒methanol‒glacial acetic acid in ratio (4.2:4:1.75:0.05, V/V) as a developing system using ultraviolet (UV) detection at 230 nm. All experimental parameters were optimized with a linearity range of 5‒250 ng per band for each drug, with good sensitivity and low limit of detection values reached, namely 1.72, 1.79, and 1.52 ng per band for empagliflozin, pioglitazone, and rosuvastatin, respectively. The developed method was applied for separation of the studied drugs in their synthetic ternary mixture and different biological fluids, with good recovery results ensuring high efficiency of the proposed approach. Eco scale, green analytical procedure index, and AGREE metric tools were used to evaluate the greenness of the proposed method.
Point and probabilistic forecast reconciliation for general linearly constrained multiple time series
Authors: Girolimetto Daniele , Di Fonzo Tommaso 
Published: December 2023

AbstractForecast reconciliation is the post-forecasting process aimed to revise a set of incoherent base forecasts into coherent forecasts in line with given data structures. Most of the point and probabilistic regression-based forecast reconciliation results ground on the so called “structural representation” and on the related unconstrained generalized least squares reconciliation formula. However, the structural representation naturally applies to genuine hierarchical/grouped time series, where the top- and bottom-level variables are uniquely identified. When a general linearly constrained multiple time series is considered, the forecast reconciliation is naturally expressed according to a projection approach. While it is well known that the classic structural reconciliation formula is equivalent to its projection approach counterpart, so far it is not completely understood if and how a structural-like reconciliation formula may be derived for a general linearly constrained multiple time series. Such an expression would permit to extend reconciliation definitions, theorems and results in a straightforward manner. In this paper, we show that for general linearly constrained multiple time series it is possible to express the reconciliation formula according to a “structural-like” approach that keeps distinct free and constrained, instead of bottom and upper (aggregated), variables, establish the probabilistic forecast reconciliation framework, and apply these findings to obtain fully reconciled point and probabilistic forecasts for the aggregates of the Australian GDP from income and expenditure sides, and for the European Area GDP disaggregated by income, expenditure and output sides and by 19 countries.
Acetylation of FOXO1 activates Bim expression involved in CVB3 induced cardiomyocyte apoptosis
Authors: Hu Yanan , Yi Lu , Yang Yeyi , Wu Zhixiang , Kong Min , Kang Zhijuan , Yang Zuocheng 
Published: December 2023

AbstractViral myocarditis (VMC) is the major reason for sudden cardiac death among both children and young adults. Of these, coxsackievirus B3 (CVB3) is the most common causative agent of myocarditis. Recently, the role of signaling pathways in the pathogenesis of VMC has been evaluated in several studies, which has provided a new perspective on identifying potential therapeutic targets for this hitherto incurable disease. In the present study, in vivo and in vitro experiments showed that CVB3 infection leads to increased Bim expression and triggers apoptosis. In addition, by knocking down Bim using RNAi, we further confirmed the biological function of Bim in apoptosis induced by CVB3 infection. We additionally found that Bim and forkhead box O1 class (FOXO1) inhibition significantly increased the viability of CVB3-infected cells while blocking viral replication and viral release. Moreover, CVB3-induced Bim expression was directly dependent on FOXO1 acetylation, which is catalyzed by the co-regulation of CBP and SirTs. Furthermore, the acetylation of FOXO1 was an important step in Bim activation and apoptosis induced by CVB3 infection. The findings of this study suggest that CVB3 infection induces apoptosis through the FOXO1 acetylation-Bim pathway, thus providing new insights for developing potential therapeutic targets for enteroviral myocarditis.
Comparison of cisplatin-based versus standard preoperative chemotherapy in patients with operable triple-negative breast cancer: propensity score matching and inverse probability of treatment weighting analysis
Authors: Yamaguchi Ayane , Kawaguchi Kosuke , Kawanishi Kana , Maeshima Yurina , Nakakura Akiyoshi , Kataoka Tatsuki R. , Takahara Sachiko , Nakagawa Shunsaku , Yonezawa Atsushi , Takada Masahiro , Kawashima Masahiro , Kawaguchi-Sakita Nobuko , Kotake Takeshi , Suzuki Eiji , Shimizu Hanako , Torii Masae , Morita Satoshi , Ishiguro Hiroshi , Toi Masakazu 
Published: December 2023

Abstract
Purpose
The efficacy of carboplatin is non-equivalent to that of cisplatin (CDDP) for various tumor types in curative settings. However, the role of CDDP in operable triple-negative breast cancer (TNBC) patients remains unknown. We conducted a multicenter observational study to examine the effects of CDDP added to preoperative chemotherapy in patients with TNBC.

Methods
This retrospective study consecutively included previously untreated patients with stage I–III TNBC treated with preoperative chemotherapy with or without CDDP. The primary endpoint was distant disease-free survival (DDFS). Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were used to minimize confounding biases in comparisons between the two groups.

Results
A total of 138 patients were enrolled in the study. Of these, 52 were in the CDDP group and 86 in the non-CDDP group. DDFS was significantly better in the CDDP group than in the non-CDDP group (unadjusted hazard ratio (HR) 0.127 and p < 0.001, PSM HR 0.141 and p < 0.003, IPTW HR 0.123 and p =  < 0.001). Furthermore, among the patients with residual cancer burden (RCB) class II/III, DDFS was better in the CDDP group than in the non-CDDP group (unadjusted HR 0.192 and p = 0.013, PSM HR 0.237 and p = 0.051, IPTW HR 0.124 and p = 0.059).

Conclusion
Our study showed that CDDP-containing regimens achieved favorable prognoses in patients with operable TNBC, especially for the RCB class II/III population. Confirmative studies are warranted to elucidate the role of CDDP in TNBC treatment.
A comparative study of lignin-containing microfibrillated cellulose fibers produced from softwood and hardwood pulps
Authors: Li Huisi , Chen Bin , Kulachenko Artem , Jurkjane Vilhelmine , Mathew Aji P. , Sevastyanova Olena 
Published: December 2023

AbstractThe expanding field of lignin-containing nanocellulose offers a sustainable alternative to fossil-based substances in applications such as packaging, coatings, and composites. This has underscored the importance to explore the impact of raw materials due to the complexities of lignin structures and different raw fiber characteristics, which plays a significant role in determining the properties of the resultant lignin-rich cellulose materials. This study presents a detailed investigation and comparison on the production and structure-property relationships of lignin-containing microfibrillated cellulose (LMFC) fibers prepared from unbleached softwood and hardwood kraft pulps. The microfibrillation process was analyzed for both softwood and hardwood pulps, comparing the results across various stages of fibrillation. Distinguishing features of lignin structures in softwood and hardwood pulps were identified through Py-GC/MS analysis. Additionally, Digital Image Correlation was employed to investigate the varying failure patterns in LMFC films derived from different wood species. Softwood-derived LMFC films demonstrate less strain-concentrated regions and strain variation, attributed to the formation of more physical crosslinking joints by the elongated fibers. Consequently, softwood-origin LMFC films displayed superior load-sharing and enhanced tensile strength (287 MPa) compared to those derived from hardwood. Additionally, the denser lignin structures in unbleached softwood pulp further boosted the stiffness of resultant softwood-derived films. Upon recycling, LMFC films exhibited superior recovery of mechanical properties following drying, suggesting their significant potential for widespread commercial use.
Exploring Factors Shaping Primary Health Care Readiness to Respond to Family Violence: Findings from a Rapid Evidence Assessment
Authors: Montesanti Stephanie , Goveas Danika , Bali Krittika , Campbell Sandra 
Published: December 2023

Abstract
Purpose
Family violence (FV) is defined as any situation where an individual employs abusive behaviour to control and/or harm a former or current spouse, non-marital partner, or a member of their family. The health consequences of FV are vast, including a wide range of physical and mental health conditions for individuals experiencing violence or survivors, perpetrators, and their children. Primary health care (PHC) is recognized as a setting uniquely positioned to identify the risk and protective factors for FV, being an entry point into the health care system and a first, or only, point of contact for families with professionals who can facilitate access to specialist care and support.

Methods
A rapid evidence assessment of empirical studies on FV interventions in PHC was conducted to examine outcomes of effective FV interventions that promote identification, assessment, and care delivery within diverse PHC settings, factors shaping PHC provider and system readiness, and key intervention components that are important for sustaining PHC responses to FV. After completing data extraction, quality appraisal, and a hand search, a total of 49 articles were included in data synthesis and analysis.

Results
Several FV interventions that include multiple components such as, screening and identification of FV, training of PHC providers, advocacy, and referrals to supports, have been rigorously tested and evaluated in diverse PHC settings in rural and urban areas including primary care/family medicine practice clinics and community PHC centers. These interventions have demonstrated to be effective in identifying and responding to violence primarily experienced by women. There is a dearth of FV interventions or programs from empirical studies focused on men, children, and perpetrators. Additionally, provider and system readiness measurement tools and models have been implemented and evaluated in PHC specifically to assess physician or the health care team’s readiness to manage FV in terms of knowledge and awareness of FV. The findings highlight that there is no clear or standardized definition of provider or system “readiness” in the literature related to FV responses in PHC. Further, the findings revealed four key intervention components to facilitate PHC provider and organization readiness to address FV: (1) multidisciplinary teamwork and collaboration, (2) improving provider knowledge on the social and cultural determinants impacting FV, and (3) embedding system-level supports within PHC.

Conclusions
FV is a serious public health concern and PHC providers have a vital role in early detection of FV and the poor health outcomes associated with violence A focus on comprehensive or multi-component FV interventions are more likely to change provider behavior, and would allow for safe, confident, and professional identification and assessment of FV within PHC.
End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images
Authors: Bhadra Sourav , Sagan Vasit , Skobalski Juan , Grignola Fernando , Sarkar Supria , Vilbig Justin 
Published: December 2023

AbstractCrop yield prediction from UAV images has significant potential in accelerating and revolutionizing crop breeding pipelines. Although convolutional neural networks (CNN) provide easy, accurate and efficient solutions over traditional machine learning models in computer vision applications, a CNN training requires large number of ground truth data, which is often difficult to collect in the agricultural context. The major objective of this study was to develope an end-to-end 3D CNN model for plot-scale soybean yield prediction using multitemporal UAV-based RGB images with approximately 30,000 sample plots. A low-cost UAV-RGB system was utilized and multitemporal images from 13 different experimental fields were collected at Argentina in 2021. Three commonly used 2D CNN architectures (i.e., VGG, ResNet and DenseNet) were transformed into 3D variants to incorporate the temporal data as the third dimension. Additionally, multiple spatiotemporal resolutions were considered as data input and the CNN architectures were trained with different combinations of input shapes. The results reveal that: (a) DenseNet provided the most efficient result (R2 0.69) in terms of accuracy and model complexity, followed by VGG (R2 0.70) and ResNet (R2 0.65); (b) Finer spatiotemporal resolution did not necessarily improve the model performance but increased the model complexity, while the coarser resolution achieved comparable results; and (c) DenseNet showed lower clustering patterns in its prediction maps compared to the other models. This study clearly identifies that multitemporal observation with UAV-based RGB images provides enough information for the 3D CNN architectures to accurately estimate soybean yield non-destructively and efficiently.