bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real-world use of oral versus subcutaneous semaglutide in a cohort of type 2 diabetic patients: which option to which patient?
Authors: Formichi C. , Baronti W. , de Gennaro G. , Cerrai Ceroni M. , Nigi L. , Rizzo L. , Dotta F. 
Published: April 2024

Abstract
Purpose
To evaluate the variables influencing the therapeutic choice toward oral versus subcutaneous semaglutide in a cohort of diabetic subjects.

Methods
We retrospectively collected data of 292 patients followed at the Diabetes Unit of the University Hospital of Siena and the Hospital of Grosseto, who were prescribed oral (n = 115) or subcutaneous (n = 177) semaglutide between October 2021 and October 2022.

Results
Oral semaglutide was preferentially prescribed in older subjects with longer disease duration in replacement of other antidiabetic drugs, while subcutaneous semaglutide was preferentially prescribed in add-on to metformin in subjects with higher body weight and BMI. After 6 months, both formulations significantly improved glycemic control and body weight, however injectable semaglutide showed a greater efficacy on A1c levels, weight loss, BMI and waist circumference reduction. No differences were found in terms of adverse events.

Conclusion
In our experience, injectable semaglutide is preferred in patients with excess weight and shorter disease duration, while the oral formulation was used later and especially after therapeutic failure of previous therapies. Follow-up data indicate similar tolerability and efficacy of both formulations, despite subcutaneous semaglutide demonstrated greater efficacy.
Surface Integrity of Binderless WC Using Dry Electrical Discharge Assisted Grinding
Authors: Lu Yanjun , Mou Xingyu , Xiao Huapan , Li Kangsen , Wang Chunjin 
Published: April 2024

AbstractBinderless tungsten carbide (WC) is preferred for manufacturing tools, mould, and wear-resistant components. However, due to its high brittleness and hardness, the machined binderless WC surface is prone to generate microcracks and the machining efficiency is extremely low. Aiming at this difficulty, a clean and eco-friendly dry electrical discharge assisted grinding (DEDAG) method without any liquid medium was proposed for the processing of binderless WC. DEDAG principle was revealed and the DEDAG platform was first developed. A series of DEDAG, conventional dry grinding (CDG), and conventional wet grinding (CWG) experiments were conducted on binderless WC under different processing parameters. The current and voltage waveforms during the DEDAG process were observed, and the discharge properties were analyzed. The chip morphologies, surface hardness, residual stress, as well as surface and subsurface morphologies were analyzed. The results show that the surface hardness and roughness obtained by DEDAG are smaller than that by CDG or CWG. The measured residual tensile stress after CDG is larger against DEDAG. The ground surface by DEDAG has better crystal integrity than that by CDG. DEDAG can soften/melt workpiece material and diminish grinding chips, thereby promoting plastic removal and increasing processing efficiency. The influences of DEDAG parameters on the ground surface quality are also investigated, and the optimal DEDAG parameters are determined. With the increase of open-circuit voltage or grinding depth, the surface quality improves first and then worsens. The optimal open-circuit voltage is 40 V and the grinding depth ranges from 10 µm to 15 µm. This research provides a new idea for promoting the efficient and low-damage processing of binderless WC.
Representation learning of in-degree-based digraph with rich information
Authors: Sun Yan , Zhu Cun , Chen JianFu , Lan Kejia , Pei Jiuchang 
Published: April 2024

AbstractNetwork representation learning aims to map the relationship between network nodes and context nodes to a low-dimensional representation vector space. Directed network representation learning considers mapping directional of node vector. Currently, only sporadic work on direct network representation has been reported. In this work, we propose a novel algorithm that takes into account the direction of the edge with text’s attribute of the node in directed network representation learning. We then define the matrix based on in-degree of Laplacian and signless Laplacian for digraph, and it utilizes web page datasets from universities in the USA to evaluate the performance of vertex classification. We compare our algorithm with other directed representation learning algorithms. The experimental results show that our algorithm outperforms the baseline by over 20% when the training ratio ranges from 10 to 90%. We apply the in-degree-Laplacian and In-degree-signless-Laplacian to directed representation learning, which is one of the main contributions of this algorithm. Additionally, we incorporate text information through matrix completion in directed network representation learning and the experimental results show an increase in performance of up to 20% compared to the baseline, especially when the training ratio is 10%.
Chemical looping reforming of the micromolecular component from biomass pyrolysis via Fe2O3@SBA-16
Authors: Li Yunchang , Zhang Bo , Yang Xiantan , Yang Bolun , Zhang Shengyong , Wu Zhiqiang 
Published: April 2024

AbstractTo solve the problems of low gasification efficiency and high tar content caused by solid–solid contact between biomass and oxygen carrier in traditional biomass chemical looping gasification process. The decoupling strategy was adopted to decouple the biomass gasification process, and the composite oxygen carrier was prepared by embedding Fe2O3 in molecular sieve SBA-16 for the chemical looping reforming process of pyrolysis micromolecular model compound methane, which was expected to realize the directional reforming of pyrolysis volatiles to prepare hydrogen-rich syngas. Thermodynamic analysis of the reaction system was carried out based on the Gibbs free energy minimization method, and the reforming performance was evaluated by a fixed bed reactor, and the kinetic parameters were solved based on the gas–solid reaction model. Thermodynamic analysis verified the feasibility of the reaction and provided theoretical guidance for experimental design. The experimental results showed that the reaction performance of Fe2O3@SBA-16 was compared with that of pure Fe2O3 and Fe2O3@SBA-15, and the syngas yield was increased by 55.3% and 20.7% respectively, and it had good cycle stability. Kinetic analysis showed that the kinetic model changed from three-dimensional diffusion to first-order reaction with the increase of temperature. The activation energy was 192.79 kJ/mol by fitting. This paper provides basic data for the directional preparation of hydrogen-rich syngas from biomass and the design of oxygen carriers for pyrolysis of all-component chemical looping reforming.
Nostalgia Promotes Positive Beliefs about College Belonging and Success among First-Generation College Students
Authors: Abeyta Andrew A. , Corley Dyron , Hasna Nafisa 
Published: April 2024

AbstractFirst-generation college students often develop negative thoughts and expectations about whether they belong in college and whether they can be successful in college, and these negative thoughts play a major role in college retention and success. Nostalgia, a mixed but mostly positive emotional experience that involves reflecting on personally meaningful events from one’s life, has been found to promote an optimistic future orientation. We tested the applied value of nostalgia’s future-orienting capacity for fostering positive beliefs about college belonging and success among first-generation college students in 2 experiments. In Experiment 1, first-generation students who reflected on a nostalgic event from their past reported more positive beliefs about their potential to discover a sense of belonging in their college community, compared to first-generation students who reflected on an ordinary event. In Experiment 2, nostalgic reflection once again increased positive expectations for belonging in first-generation college students as well as optimism for academic success. We conclude that the power of nostalgia to promote a positive future orientation may be harnessed by institutions and programs looking to encourage belonging and optimism to help first-generation college students adjust to and succeed in college.
Epifaunal Communities in Floating Buoys on Gran Canaria (Canary Islands, NE Atlantic Ocean)
Authors: Ugalde-Pozo Ainara , Riera Rodrigo 
Published: April 2024

AbstractOcean sprawl has become increasingly prevalent in marine environments. Artificial substrates, notably floating structures like buoys, have gained significant attention in recent years. They serve as valuable models for future studies aimed at understanding and mitigating the impacts of anthropogenic activities on marine ecosystems. We studied the epifauna from buoys at six different locations on the northern and southern coasts of the island of Gran Canaria (Canary Is., NE Atlantic Ocean). A total of 12,130 individuals belonging to 57 species were collected. The abundance of individuals was higher in the northern area, whereas the species richness was higher in the southern area. The n-MDS showed significant differences between localities, with Las Alcaravaneras being separated from the remaining ones. These dissimilarities were due to the differences in the abundances of the amphipods P. gammaroides and A. rubricata. The orientation was a pivotal factor in structuring these associated communities in floating buoys. As a preliminary approach, high biodiversity and species richness were observed in these buoys; hence, they have a high potential to be used as bioindicators of human disturbance.
Korpusgestützte Theoriebildung als hermeneutischer Prozess – iterativ-inkrementelle Entwicklung eines Kategoriensystems am Beispiel einer Theorie des Kommentierens
Authors: Bender Michael 
Published: April 2024

ZusammenfassungIn dem Beitrag wird korpusgestützte Theoriebildung als hermeneutischer Prozess beschrieben und hermeneutische Aspekte in den verschiedenen Phasen des Prozesses werden diskutiert. Exemplarisch wird dies anhand der Entwicklung einer Theorie des Kommentierens gezeigt, deren Kategoriensystem in einem iterativ-inkrementellen Prozess der Bildung und Überprüfung von Hypothesen sukzessive aufgebaut und abduktiv ausdifferenziert wird. Methodisch stehen Annotationsstudien im Mittelpunkt, kombiniert mit korpusstatistischen Methoden. Letztere dienen einerseits dem theoretischen Sampling und werden andererseits auf die dadurch spezifisch selektierten bzw. gebildeten (Sub)Korpora zur Mustererkennung angewendet. Hermeneutikkritische Aspekte werden aus drei Perspektiven diskutiert, die den Umgang mit Vorwissen und bestehenden Theorien, mit der hermeneutischen Zirkularitätsmetapher und mit Objektivierungsstrategien im interpretativen Forschungssetting umfassen.
The regenerative power of curriculum theorising: feminine wonderings/wanderings (without)
Authors: Du Preez Petro , Le Grange Lesley 
Published: April 2024

AbstractUbuntu-currere, resonates with Catherine Malabou’s concept of plasticity (inspired by the figuration of the salamander) in the sense that they are both regenerative processes although the former might be viewed as a macro-process and the latter a micro-process. Ubuntu-currere concerns the (ongoing) unfolding/becoming of the human in intra-action with other humans and more-than-human world - a re/generative process of mind-body-soul. In this article, author 1 narrates her story of becoming-woman through weaving together her engagement with the work of Catherine Malabou, including the notion of plasticity, and Le Grange’s ubuntu-currere. After the autobiophilosography of author 1, we draw on the concept curriculum as complicated conversation whereby author 2 engages in a diffractive reading of author 1’s autobiophilosography, through conceptually experimenting with Malabou’s references to wondering (French: admiration) and Barad’s notion of wondering/wandering (imagination). Curriculum as complicated conversation concerns processes in which curriculum scholars engage in open and frank intra-actions, by listening to others for the purpose of self-criticism. We propose that wandering/wondering could add yet another dimension to the notion of complicated conversation and contribute to thinking of alternative possibilities for the field and for the becoming of pedagogical lives.
A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula
Authors: Alban Ahmad Qadeib , Abulibdeh Ammar , Charfeddine Lanouar , Abulibdeh Rawan , Abuelgasim Abdelgadir 
Published: April 2024

Abstract
Accurate forecasting of environmental pollution indicators holds significant importance in diverse fields, including climate modeling, environmental monitoring, and public health. In this study, we investigate a wide range of machine learning and deep learning models to enhance Aerosol Optical Depth (AOD) predictions for the Arabian Peninsula (AP) region, one of the world’s main dust source regions. Additionally, we explore the impact of feature extraction and their different types on the forecasting performance of each of the proposed models. Preprocessing of the data involves inputting missing values, data deseasonalization, and data normalization. Subsequently, hyperparameter optimization is performed on each model using grid search. The empirical results of the basic, hybrid and combined models revealed that the convolutional long short-term memory and Bayesian ridge models significantly outperformed the other basic models. Moreover, for the combined models, specifically the weighted averaging scheme, exhibit remarkable predictive accuracy, outperforming individual models and demonstrating superior performance in longer-term forecasts. Our findings emphasize the efficacy of combining distinct models and highlight the potential of the convolutional long short-term memory and Bayesian ridge models for univariate time series forecasting, particularly in the context of AOD predictions. These accurate daily forecasts bear practical implications for policymakers in various areas such as tourism, transportation, and public health, enabling better planning and resource allocation.
Multi-Method Comparative Analysis of Hydroclimatic Trends and Variability in Dry Creek Catchment, South Australia
Authors: Andualem Tesfa Gebrie , Hewa Guna A. , Boland John , Peters Stefan , Myers Baden R. 
Published: April 2024

AbstractThe trend and variability of hydroclimatic variables over time are apparent in seasonal creeks, especially those located in urbanized areas. Understanding hydro-climatic trends in urban areas is crucial for the sustainable management of water resources and the environment. This study aimed to explore the spatiotemporal variability and trends of hydroclimate variables as well as the potential connection between rainfall and streamflow in Dry Creek catchment, South Australia. The trend-free pre-whitening Mann–Kendall (TFPW-MK) test and Innovative Trend Analysis (ITA) were utilized to examine the monotonic and nonmonotonic trends, respectively, and multiple statistical tests were employed to examine the change points in the hydroclimatic time series. Sen’s slope, Simple Linear Regression (SLR), and ITA were used as alternative approaches to assess the magnitudes of change and overcome the limitations in the underlying assumptions of the various methodologies. The variability in the hydroclimate time series was estimated using several indices, such as the coefficient of variation, seasonality indices, flashiness index, and mean zero flow index. The analyses revealed important findings, notably the high variability of rainfall and streamflow during dry periods. Streamflow displayed greater variability compared to rainfall, with high CV values recorded both seasonally and annually. Furthermore, there was a significant upward trend in seasonal rainfall during winter. Additionally, the maximum and mean temperatures demonstrated a statistically significant increase, which can be attributed to global warming and significant urbanization in the catchment area. Comparative analysis has confirmed that the ITA has superior detection capabilities for nonmonotonic trends, outperforming other methods. It excels at presenting graphical representations that accurately depict trends, effectively differentiating between low, medium, and high values. The strong relationship between rainfall and streamflow demonstrated by the Tanh curve suggests that rainfall is the most reliable predictor of streamflow. The outcomes of this investigation are expected to support local governmental organizations and decision-makers in comprehending the spatial and temporal features of rainfall, as well as its correlation with streamflow. This information will further assist in developing flood and drought mitigation strategies backed by empirical evidence.
Graphical Abstract
Thinking about spiking neural P systems: some theories, tools, and research topics
Authors: Cabarle Francis George C. 
Published: April 2024

AbstractThe present work focuses on three notions about spiking neural P systems (SN P systems), namely normal forms, homogeneous systems, and software tools for easy access and visual simulation of such systems. The three notions are presented in general and specific ways: their backgrounds and motivations, with detailed and up to date results. The aim of the work is to outline many results on these notions, mainly for research and pedagogy. SN P systems with normal or homogeneous forms, having many biological and computing inspirations, have much to contribute in the opinion of the author to membrane computing at least. The software we here mention aims to support both learning and research of such systems. We provide a brief survey of results in chronological order, using a unified notation to aid in more detailed comparisons of results. Lastly, we provide a list of open problems or research topics on the three notions and related areas, with the hope to further extend the theory and applications of SN P systems.
The artificial production of viral-like particles in Nicotiana benthamiana suggests the pro-assembly role of the Cannabis cryptic virus RdRP
Authors: Miotti N. , Dall’Ara M. , Baldo D. , Passera A. , Casati P. , Ratti C. 
Published: April 2024

Abstract
The partitivirids feature an icosahedral protein coating accommodating both their dsRNA genome and RNA-dependent RNA polymerase (RdRP). This signifies that transcription and replication activities of the viral polymerase occur within the capsid, emphasizing that the viral cycle relies on polymerase incorporation. Particles lacking RdRP are defective and hence non-infectious. Encapsidation and replication are intricately linked for dsRNA viruses, to the extent that, for many of these, such as the cystovirids, the RdRP serves a dual role as a transcriptase/replicase and a pro-assembly factor, ensuring structural stability and overall capsid integrity. This work investigates if RdRP has a similar role within the capsid of Cannabis cryptic virus (CanCV), a betapartitivirus affecting Cannabis sativa. Utilizing reverse genetics in Nicotiana benthamiana, we conclusively established that RdRP expression is indispensable for CanCV’s virus-like particle formation. This study enhances our understanding of CanCV encapsidation, with RdRP serving a pivotal role as a pro-assembly factor. These preliminary findings contribute to the knowledge of viral assembly within the Partitiviridae family.
Cropping system support in downy mildew control in basil in organic farming: a two-year open field experiment
Authors: La Placa L , Cornali S , Bertinaria F , Rossetti A , Marchini M , Reggiani R , Battilani P 
Published: April 2024

Abstract
Basil Downy Mildew (BDM), caused by the oomycete Peronospora belbahrii, is a major issue for sweet basil (Ocimum basilicum L.) production worldwide. Currently, the disease is mainly controlled by chemical fungicides, but the development of populations of the pathogen which are resistant to the most widely used compounds is leading to the research of alternative crop protection strategies. Therefore, in this paper, some cropping variables were tested in a field trial conducted in two consecutive years (2021 and 2022) in Northern Italy in organic farming conditions, with the overall objective to optimize basil productivity and quality and limit BDM occurrence. These include two basil varieties, two sowing densities (dense, 30 kg/ha, and sparse, 15 kg/ha), and two irrigation systems (drip and sprinkler). A higher incidence and severity of BDM in 2022 compared to 2021 was observed, mainly due to the different climatic conditions that occurred in the two years. Year 2022 was characterized by high temperatures and repeated drought phenomena that led to basil stress and BDM severe outbreak. Moreover, variety 1 (considered resistant to P. belbahrii) was confirmed to be completely resistant in 2021 but it was found to be susceptible the following year, with disease incidence and severity comparable to variety 2 (medium susceptible). No differences were detected in terms of BDM occurrence and crop yield between the two sowing densities (mean of 58.4% and 26.6% of BDM incidence and severity, respectively; mean yield 1.4 kg/m2), while it emerged that drip irrigation can be useful in reducing BDM (−23.1% BDM severity). Therefore, this study suggests that the crop protection strategies tested, even if not definitive solutions, can significantly contribute to manage BDM more effectively, while preserving basil productivity and quality.
Examining the emergence of a learning collaborative: a framework to support complex program implementation
Authors: Karikari Isaac , Walton Betty , Ludeker-Seibert Kristen , Riley Kathy 
Published: April 2024

AbstractTo address unmet behavioral health needs of children and youth, the system of care (SOC) philosophy was developed and evolved into a framework to support community-based coordinated networks that provide an array of effective services and supports. There is limited elaboration of the actual implementation processes and intricacies of SOC development, particularly, in terms of the roles of local SOC coordinators (local coordinators). Limited published research has addressed the necessary knowledge and roles of local coordinators, and the theoretical underpinnings and structure of their learning, skill development, and capacity building. Utilizing an archival approach and reflexive thematic analysis, this qualitative study examined records of three forums involving 50 local SOC coordinators (11% male, 89% female, 93% white, ages between 27 and 66 years) between 2017 and 2018. The analysis revealed varying levels of experience, knowledge, and skills, and uncovered several SOC development strategies utilized by coordinators. The study illustrates the inception of a learning collaborative that served as a bridge and implementation driver for SOC development and socio-professional support for local coordinators. The findings provide an empirical base and emerging framework for SOC coordinators’ training and professional development. The value of learning collaboratives in facilitating exposure to a diverse knowledge base and the importance of fostering supportive spaces for coordinators as they strive to develop SOCs are evident. Incorporating supportive learning collaboratives for local change agents could be a dynamic strategy to support the effective implementation of system-wide changes or enhancements in behavioral health services.