bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing compounding climate-related stresses and development pathways on the power sector in the central U.S.
Authors: Gurgel Angelo Costa , Reilly John , Morris Jennifer , Schlosser C. Adam , Gao Xiang , Yuan Mei , Tapia-Ahumada Karen 
Published: March 2024

AbstractFuture configurations of the power system in the central region of the USA are dependent on relative costs of alternative power generation technologies, energy and environmental policies, and multiple climate-induced stresses. Higher demand in the summer months combined with compounding supply shocks in several power generation technologies can potentially cause a “perfect storm” leading to failure of the power system. Potential future climate stress must be incorporated in investment decisions and energy system planning and operation. We assess how projected future climate impacts on the power system would affect alternative pathways for the electricity sector considering a broad range of generation technologies and changes in demand. We calculate a “potential supply gap” metric for each pathway, system component, and sub-region of the US Heartland due to climate-induced effects on electricity demand and power generation. Potential supply gaps range from 5% in the North Central region under mild changes in climate to 21% in the Lakes-Mid Atlantic region under more severe climate change. We find increases in electricity demand to be more important in determining the size of the potential supply gap than stresses on power generation, while larger shares of renewables in the power system contribute to lower supply gaps. Our results provide a first step toward considering systemic climate impacts that may require changes in managing the grid or on potential additional capacity/reserves that may be needed.
Stabilization of Semi-Markovian Jumping Uncertain Complex-Valued Networks with Time-Varying Delay: A Sliding-Mode Control Approach
Authors: Li Qiang , Wei Hanqing , Hua Dingli , Wang Jinling , Yang Junxian 
Published: March 2024

AbstractThis paper pays close attention to the stabilization issue for delayed uncertain semi-Markovian jumping complex-valued networks via sliding mode control. The concerned corresponding transition rates depend on a positive constant, i.e., sojourn-time, which is not required to obey the general exponential distribution. Combine the generalized Dynkin’s formula with Lyapunov stability theory as well as the characteristics of cumulative distribution functions, a few sufficient criteria are proposed to ascertain the stochastic stability of the obtained sliding mode dynamical system. In addition, design a novel sliding mode controller to ensure all state trajectories of the potential closed-loop system can reach the synthesized sliding mode switching surface in a finite time and maintain there in the subsequent time. In the end of paper, one simple example is presented to verify superiority and feasibility of the provided controller design scheme.
Ocular and systemic vascular endothelial growth factor ligand inhibitor use and nephrotoxicity: an update
Authors: Rangaswamy Dharshan , Nagaraju Shankar Prasad , Bhojaraja Mohan Varadanayakanahalli , Swaminathan Shilna Muttickal , Prabhu Ravindra A. , Rao Indu Ramachandra , Shenoy Srinivas Vinayak 
Published: March 2024

AbstractTumor growth is intricately linked to the process of angiogenesis, with a key role played by vascular endothelial growth factor (VEGF) and its associated signaling pathways. Notably, these pathways also play a pivotal “housekeeping” role in renal physiology. Over the past decade, the utilization of VEGF signaling inhibitors has seen a substantial rise in the treatment of diverse solid organ tumors, diabetic retinopathy, age-related macular degeneration, and various ocular diseases. However, this increased use of such agents has led to a higher frequency of encountering renal adverse effects in clinical practice. This review comprehensively addresses the incidence, pathophysiological mechanisms, and current evidence concerning renal adverse events associated with systemic and intravitreal antiangiogenic therapies targeting VEGF-A and its receptors (VEGFR) and their associated signaling pathways. Additionally, we briefly explore strategies for mitigating potential risks linked to the use of these agents and effectively managing various renal adverse events, including but not limited to hypertension, proteinuria, renal dysfunction, and electrolyte imbalances.
A meta-analysis of technology-delivered literacy instruction for elementary students
Authors: Dahl-Leonard Katlynn , Hall Colby , Peacott Delanie 
Published: March 2024

AbstractTechnology to support student learning has become increasingly prevalent in schools and homes during the last few decades. Several recent reviews have examined aspects of technology-based literacy instruction, but they have not focused on the full array of literacy skills that can be addressed during technology-delivered instruction for elementary students, nor have they utilized meta-analytic methods to rigorously examine effects of such instruction. Therefore, the purpose of this meta-analysis was to describe and evaluate recent research on technology-delivered literacy instruction for students in Grades K-5. A total of 53 experimental or quasi-experimental studies were analyzed. Results demonstrated a statistically significant main effect of instruction on norm- or criterion-referenced literacy outcomes (g = 0.24, p < .001), indicating that elementary students are likely to benefit from technology-delivered literacy instruction. Although the effects of several moderator variables representing study, participant, instruction, and outcome characteristics were explored, analyses revealed no statistically significant moderators of effects of instruction. Overall, findings indicate that further research on technology-based literacy instruction is needed to determine what works for whom and under what conditions.
Optical system for extremely large spectroscopic survey telescope
Authors: Su Ding-qiang , Bai Hua , Yuan Xiangyan , Cui Xiangqun 
Published: March 2024

AbstractThis article presents research work on a spectroscopic survey telescope. Our idea is as follows: for such a telescope, a pure reflecting optical system is designed, which should have an aperture and a field of view (FOV) both as large as possible and excellent image quality, and then a strip lensm (lens-prism) atmospheric dispersion corrector (S-ADC) is added, only for correcting the atmospheric dispersion. Given the fund limitation and the simplicity of scaling up, some 12-m telescopes are designed as examples. Su, Korsch, and Meinel put forward the four-mirror Nasmyth systems I and II, which are used in this paper. FOVs of 1.5°, 2°, and 2.5° are selected. For all systems, the image qualities are excellent. Because the S-ADC relaxes the optical glass size restriction, this 12-m telescope with a FOV of 2.5° can be magnified in proportion to a 16-m telescope. Its etendue (from French étendue) and focal surface will now be the largest in the world. In such a telescope, a pure reflecting optical system can also be obtained. A subsequent coudé system is designed with excellent image quality.
Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients with Atrial Fibrillation and Cancer
Authors: Truong Bang , Zheng Jingyi , Hornsby Lori , Fox Brent , Chou Chiahung , Qian Jingjing 
Published: March 2024

AbstractIn this study, we leveraged machine learning (ML) approach to develop and validate new assessment tools for predicting stroke and bleeding among patients with atrial fibrillation (AFib) and cancer. We conducted a retrospective cohort study including patients who were newly diagnosed with AFib with a record of cancer from the 2012–2018 Surveillance, Epidemiology, and End Results (SEER)-Medicare database. The ML algorithms were developed and validated separately for each outcome by fitting elastic net, random forest (RF), extreme gradient boosting (XGBoost), support vector machine (SVM), and neural network models with tenfold cross-validation (train:test = 7:3). We obtained area under the curve (AUC), sensitivity, specificity, and F2 score as performance metrics. Model calibration was assessed using Brier score. In sensitivity analysis, we resampled data using Synthetic Minority Oversampling Technique (SMOTE). Among 18,388 patients with AFib and cancer, 523 (2.84%) had ischemic stroke and 221 (1.20%) had major bleeding within one year after AFib diagnosis. In prediction of ischemic stroke, RF significantly outperformed other ML models [AUC (0.916, 95% CI 0.887–0.945), sensitivity 0.868, specificity 0.801, F2 score 0.375, Brier score = 0.035]. However, the performance of ML algorithms in prediction of major bleeding was low with highest AUC achieved by RF (0.623, 95% CI 0.554–0.692). RF models performed better than CHA2DS2-VASc and HAS-BLED scores. SMOTE did not improve the performance of the ML algorithms. Our study demonstrated a promising application of ML in stroke prediction among patients with AFib and cancer. This tool may be leveraged in assisting clinicians to identify patients at high risk of stroke and optimize treatment decisions.
Epidemiology of growth hormone deficiency in children and adolescents: a systematic review
Authors: Mameli Chiara , Guadagni Liliana , Orso Massimiliano , Calcaterra Valeria , Wasniewska Malgorzata Gabriela , Aversa Tommaso , Granato Simona , Bruschini Pietro , d’Angela Daniela , Spandonaro Federico , Polistena Barbara , Zuccotti Gianvincenzo 
Published: March 2024

Abstract
Objective
Growth hormone deficiency (GHD) is the most common pituitary hormone deficiency and is one of the main causes of short stature in children and adolescents. The aim of this study is to evaluate the epidemiology of pediatric GHD worldwide, since no other systematic review has been published so far.

Methods
We searched PubMed, Embase, and Web of Science up to July 2023 to find epidemiological studies involving children with GHD. Two review authors independently screened articles, extracted data and performed the quality assessment.

Results
We selected 9 epidemiological studies published from 1974 to 2022. The range of prevalence was 1/1107–1/8,646. A study based on a registry of GH users in the Piedmont region (Italy) reported the highest mean prevalence. In the included studies, the mean incidence ranged from 1/28,800 to 1/46,700 cases per year. One study reported a 20-year cumulative incidence of 127/100,000 for boys and 93/100,000 for girls. Studies were heterogeneous in terms of population (age and GHD etiology) and diagnostic criteria. As for the methodological quality of included studies, all but one study satisfied the majority of the checklist items.

Conclusions
The included studies are mostly European, so the provided estimates cannot be considered global. International multicentre studies are needed to compare epidemiological estimates of GHD among different ethnical groups. Considering the considerable cost of human recombinant GH, the only available therapy to treat GHD, understanding accurate epidemiological estimates of GHD in each country is fundamental for resource allocation.
Evaluation of Food Homogenates on Cell Survival In Vitro
Authors: Semaan Dima , O’Connor Liam , Scobie Linda 
Published: March 2024

AbstractA critical review on the approaches to assess the infectivity of the Hepatitis E virus (HEV) in food recommended that a cell culture-based method should be developed. Due to the observations that viral loads in food may be low, it is important to maximise the potential for detection of HEV in a food source in order to fully assess infectivity. To do so, would require minimal processing of any target material. In order to proceed with the development of an infectivity culture method that is simple, robust and reproducible, there are a number of points to address; one being to assess if food homogenates are cytotoxic to HEV susceptible target cells. Food matrices previously shown to have detectable HEV nucleic acid were selected for analysis and assessed for their effect on the percentage survival of three cell lines commonly used for infectivity assays. Target cells used were A549, PLC/PRF/5 and HepG2 cells. The results showed that, as expected, various food homogenates have differing effects on cells in vitro. In this study, the most robust cell line over a time period was the A549 cell line in comparison to HepG2, with PLC/PRF/5 cells being the most sensitive. Overall, this data would suggest that FH can be left in contact with A549 cells for a period of up to 72 h to maximise the potential for testing infection. Using food homogenates directly would negate any concerns over losing virus as a result of any additional processing steps.
On the Interplay Between Business Process Management and Internet-of-Things
Authors: De Luzi Francesca , Leotta Francesco , Marrella Andrea , Mecella Massimo 
Published: March 2024

AbstractIn the last years, the increasing scientific and industrial interest in Business Process Management (BPM) approaches and methods on the one side, and Internet-of-Things (IoT) technologies and tools on the other. Are these fields complementary? What are their respective interplays and the research challenges to their realizations? The article presents a Systematic Literature Review (SLR) to gain in-depth insights into the maturity of existing approaches to IoT-aware BPM. The analysis of the retrieved studies, framed along the research questions addressed in the SLR, enables us to systematically evaluate the literature on IoT-aware BPM concerning the phases of the process life cycle covered by the different approaches, the specific topics addressed, the application domains involved, and the possibility to tackle the research challenges. Future research directions are also highlighted.
Emerging Clinical Applications for Cone Beam Breast CT: Changing the Breast Imaging Paradigm
Authors: Siddall Kristina , Zhang Xiaohua , O’Connell Avice 
Published: March 2024

Abstract
Purpose of Review
Since its approval by the Unites States Food and Drug Administration (FDA) in 2015, cone-beam breast computed tomography (CBBCT) has gained acceptance among radiologists for breast cancer imaging. This review aims to highlight the advancements and benefits of CBBCT in the diagnostic workup of breast disease. It showcases how CBBCT, including both non-contrast (NC-CBBCT) and contrast-enhanced (CE-CBBCT) protocols, complements and often surpasses the performance of more traditional breast imaging modalities such as mammography and magnetic resonance imaging (MRI).

Recent Findings
Studies in clinical settings have shown CBBCT’s efficacy in detecting and characterizing breast lesions of differing morphologies, including non-mass enhancement and calcifications—tasks that previously required the use of multiple modalities. In addition, CBBCT significantly enhances patient comfort and efficiency, offering quick acquisition times without the discomfort of breast compression. The technology can be utilized for guiding biopsies, planning surgical interventions, and assessing breast density and tumor characteristics, evidence supporting its integration into clinical practice.

Summary
CBBCT holds the potential to shift the imaging paradigm in breast cancer care, indicating a promising future for the modality in terms of enhancing diagnostic accuracy, improving patient experience, and influencing treatment outcomes.
Sustainable aquatic resource management and inland fisheries in tropical Asia: Interdisciplinary and transdisciplinary approaches
Authors: Schiemer Fritz , Amarasinghe Upali S. , Simon David , Vijverberg Jacobus 
Published: March 2024

AbstractThe intensive utilization of tropical inland water bodies for multiple and sometimes competing activities underlines the necessity for their integrated and holistic co-management. This paper presents our synthesis on lake and reservoir fisheries in South and Southeast Asia as social–ecological systems, based on a synopsis of our research findings from a previous EU-funded research programme in Sri Lanka, Thailand and the Philippines (FISHSTRAT project). The paper attempts to merge our results with recent developments in research, policy and practice. We explore the effects of the main external and internal control mechanisms of the trophic state and pinpoint to the high production potential of traditionally unexploited small indigenous fish species. The limitations of conventional centralized management systems highlight the importance of introducing transdisciplinary approaches which integrate limnology, fish ecology and fisheries with the interests of other resource using stakeholders and decision makers in order to develop locally appropriate co-management strategies for sustainable aquatic resource use.
Tätigkeitsprofile von Förderlehrpersonen – eine explorative Studie zur Erhebung des Einsatzes von Ressourcen für sonderpädagogische Angebote
Authors: Wicki Monika T. , Rauber Julia 
Published: March 2024

ZusammenfassungFür die Gestaltung inklusiver Lernsettings stehen den Schulen Ressourcen, mehrheitlich in Form von Personal, zur Verfügung. Über deren Einsatz können die Schulen im Rahmen der gesetzlichen Vorgaben selbst entscheiden. Daher sind auch die sonderpädagogischen Angebote in den Schulen unterschiedlich organisiert. Doch auf Grund fehlender Daten gibt es für die Schulen keine evidenzbasierten Grundlagen, wie sie die Ressourcen effektiv und effizient einsetzen können.Im Rahmen eines Pilotprojektes wurden Daten in fünf Deutschschweizer Kantonen (Bern, Graubünden, St. Gallen, Schwyz und Zürich) zum Einsatz der Förderlehrpersonen in Volksschulen anhand eines Onlinefragebogens erhoben. Der Fragebogen wurde von N = 113 Lehrpersonen ausgefüllt. Im vorliegenden Beitrag wird der Frage nachgegangen, inwieweit sich anhand der Arbeitszeitverteilung der Förderlehrpersonen unterschiedliche Tätigkeitsprofile identifizieren lassen.Mit Hilfe einer Clusteranalyse konnten drei Typen von Tätigkeitsprofilen von Förderlehrpersonen identifiziert werden. Die Gruppen betätigen sich alle hauptsächlich im operativen Kern. Davon ist eine Gruppe eher in der Klasse tätig, eine andere in separativen Kleingruppen, und die dritte Gruppe ist, neben dem Unterricht, auch oft in Beratung und Diagnostik tätig.Die Ergebnisse der Studie geben Hinweise darauf, dass je nach Ressourcenverteilung der Schulen unterschiedliche Tätigkeitsprofile von Förderlehrpersonen resultieren. Darauf aufbauend sollte die Frage untersucht werden, inwiefern die unterschiedlichen Tätigkeitsprofile die Wahrnehmung der Schul- und Unterrichtsqualität beeinflussen.
The Use of Cognitive Paired Associative Stimulation (C-PAS) in Investigating and Remediating the Effects of Sleep Deprivation on Working Memory in Humans: The Importance of State-Dependency
Authors: Luber Bruce , Ekpo Ekaete C. , Lisanby Sarah H. 
Published: March 2024

Abstract
Purpose of Review
Sleep deprivation is a global health issue, and the resultant cognitive deficits can be debilitating. A series of studies reported success with individually neuronavigated transcranial magnetic stimulation (TMS), coupled with online task performance, in substantially reducing performance deficits in working memory in healthy adults caused by 2 days of total sleep depression. This paradigm of coupling TMS with online task performance has been referred to as Cognitive Paired Associative Stimulation (C-PAS). This review describes those studies and the research since using various TMS paradigms to remediate working memory deficits in sleep deprivation.

Recent Findings
Three such studies were found, but none replicated the earlier findings. However, in each case, there were differences in study design that might explain the negative findings and inform future methodological choices and to underline the need to combine TMS with brain imaging guidance.

Summary
Online task performance during TMS, as done in the C-PAS paradigm, appears to be essential to demonstrating lasting remediation of working memory deficits induced by sleep deprivation. This observation highlights the importance of state-dependency in determining the effects of TMS. Further work needs to be done to clarify the potential role of C-PAS in alleviating the effects of sleep deprivation and studying cognitive processes affected by sleep.
Preissetzungsregeln für Kraftstoffe: Mehr Wettbewerb durch weniger Volatilität
Authors: Helmedag Fritz 
Published: March 2024

ZusammenfassungDie 2013 eingerichtete Markttransparenzstelle für Kraftstoffe instruiert die Verbraucher über die aktuellen Preise an den Zapfsäulen, die sich lokal aber weitaus weniger unterscheiden als Verfechter des Informationsportals seinerzeit erwarteten. Anscheinend fördert ein erleichterter Konditionenvergleich das Parallelverhalten der Anbieter und vermindert die Rivalitätsbeziehung unter den Verkäufern. In einem recht allgemein formulierten Modell werden die beiden grundsätzlichen preispolitischen Alternativen gegenübergestellt, um eine Regulierungsvorschrift abzuleiten, die eine schärfere Konkurrenz zwischen den Tankstellenbetreibern erwarten lässt. Die damit verbundene temporäre Preisbindung verspricht, die Effektivität der Markttransparenzstelle zu fördern.
Module-based regularization improves Gaussian graphical models when observing noisy data
Authors: Neuman Magnus , Calatayud Joaquín , Tasselius Viktor , Rosvall Martin 
Published: March 2024

AbstractInferring relations from correlational data allows researchers across the sciences to uncover complex connections between variables for insights into the underlying mechanisms. The researchers often represent inferred relations using Gaussian graphical models, requiring regularization to sparsify the models. Acknowledging that the modular structure of these inferred networks is often studied, we suggest module-based regularization to balance under- and overfitting. Compared with the graphical lasso, a standard approach using the Gaussian log-likelihood for estimating the regularization strength, this approach better recovers and infers modular structure in noisy synthetic and real data. The module-based regularization technique improves the usefulness of Gaussian graphical models in the many applications where they are employed.