bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of overfunding in reward-based crowdfunding
Authors: Pinkow Felix 
Published: March 2023

Abstract
While research on factors contributing to the success of a reward-based crowdfunding project is abundant, research dedicated to projects that were not only successful, but received significantly more funds than initially targeted—overfunded projects—is still scarce. Following a qualitative case-study approach, this study sought to shed light on this phenomenon through examining expert interviews with supporters and team members of an overfunded crowdfunding project considered a critical case. The results are divided into three phases that differentiate characteristics ascribed to the crowd, the project, and the communication. The main findings highlight the central role of the project founders’ reputation and experience, that a positive sentiment among the crowd towards the project must be encouraged and maintained and that the core target group must be correctly identified and attracted. This core target group is crucial for attracting a broader audience, a mechanism that is supported if the project benefits from network effects. A narrative of the project as a vision or ‘dream’ of the project founders thereby contributes to creating a hype and ‘social buzz’. Ultimately, this study contributes to reward-based crowdfunding literature through offering novel insights on project overfunding and illustrating possibilities for new and small ventures how to attract and maintain customers through reward-based crowdfunding.
Surgical resection and orbital iodine-125 brachytherapy for orbital malignancy: a novel treatment for orbital lymphoma
Authors: Ma Nan , Wang Ping , Zhang Shaobo , Ning Xiaona , Guo Chenjun , Zhang Qiong , Cheng Qilin , Zhao Jinbo , Li Yangjun 
Published: March 2023

Abstract
Objectives
Orbital lymphoma is one of the most common adult orbital malignancies, accounting for approximately 10% of all orbital tumors. This study aimed to analyze the effects of surgical resection and orbital iodine-125 brachytherapy implantation for orbital lymphoma.

Patients and methods
This was a retrospective study. Clinical data of 10 patients were collected from October 2016 to November 2018 and followed up to March 2022. Patients underwent the primary surgery for maximal safe removal of the tumor. After a pathologic diagnosis of a primary orbital lymphoma was established, iodine-125 seed tubes were designed based on the tumor size and invasion range, and direct vision was placed into the nasolacrimal canal or/and under the orbital periosteum around the resection cavity during the secondary surgery. Then, follow-up data, including the general situation, ocular condition, and tumor recurrence, were recorded.

Results
Of the 10 patients, the pathologic diagnoses included extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (6 cases), small lymphocytic lymphoma (1 case), mantle cell lymphoma (2 cases), and diffuse large B-cell lymphoma (1 case). The number of seeds implanted ranged from 16 to 40. The follow-up period ranged between 40 and 65 months. All patients in this study were alive and well had tumors that were completely controlled. No tumor recurrences or metastases occurred. Three patients had dry eye syndrome and two patients had abnormal facial sensation. No patient had radiodermatitis involving the skin around the eye, and no patient had radiation-related ophthalmopathy.

Conclusions
Based on preliminary observations, iodine-125 brachytherapy implantation appeared to be a reasonable alternative to external irradiation for orbital lymphoma.
Production of Polymer Hydrogel Composites and Their Applications
Authors: El Sayed Marwa M. 
Published: March 2023

AbstractHydrogels are three-dimensional cross-linked stable network insoluble in water, which gives them a remarkable capacity to absorb both water and biological fluids. Hydrogel has been synthesized from natural or synthetic polymers and/or monomers, which have made tremendous advancements in many different applications. Composite hydrogel is a type of hydrogel prepared by grafting hydrophilic groups, such as hydroxyl (–OH), carboxylic acid (–COOH), imide (–CONH), sulfonic acid (–SO3H), amine (–NH2), and amide (–CONH2), into the polymer chain’s backbone and adding some additives such as kaolin, zeolite, or even different types of nanoparticles. Whereas the polymeric composite hydrogels exhibit stimuli for different properties such as pH, temperature, or light, which may affect swelling, mechanical properties, and self-healing, which in turn play vital roles in different areas. Hence, numerous efforts have been made to synthesize polymer-based composited hydrogels via physical or chemical crosslinking techniques to enhance their physiochemical, biological, and many other properties. Many researchers are currently paying attention to hydrogels and their applications, including wastewater treatment and purification, medical and biomedical applications, agricultural applications, and many other industrial applications. The aim of this review is to summarize the classification of composite hydrogels based on their chemical and physical crosslinking techniques, in addition to the different polymers and additives used to prepare composite hydrogels. Furthermore, the impact of hydrogel on health and the environment has been discussed. Other significant issues were also presented, including the challenges that face hydrogel production and application, which have been discussed.
ASCO-OFDM based VLC system throughput improvement using PAPR precoding reduction techniques
Authors: Farid Sara M. , Saleh Mona Z. , Elbadawy Hesham M. , Elramly Salwa H. 
Published: March 2023

AbstractThe huge bandwidth and immunity to electromagnetic interference make visible light communication (VLC) systems the preferred technique for many applications. Unfortunately, the superposition of multiple subcarriers in VLC orthogonal frequency division multiplexing systems leads to a high peak-to-average power ratio (PAPR). So, in this study, we aim to reduce PAPR in VLC systems and improve the system performance by proposing non-distorting PAPR reduction techniques like precoding techniques as it doesn’t affect the system data rate because they do not require any obligatory transmission of side information. Moreover, it has a very good ability to reduce the PAPR without affecting the system BER performance. So, different precoding reduction techniques are proposed like discrete cosine transform (DCT), discrete sine transform (DST), discrete Hatley transform (DHT), and Vandermonde like matrix (VLM), to address the high PAPR and light-emitting diode-restricted linear range problems in VLC systems. The proposed technique using DHT, DCT, DST, and VLM provided a significant advantage in reducing the PAPR by 1.35 dB, 1.46 dB, 2.12 dB, and 2.17 dB, respectively. So the proposed technique is based on using the VLM precoding technique to achieve maximum reachable PAPR reduction value. Also, a comparison of the presented work and related literature reviews for PAPR reduction techniques are held to ensure the validity and effectiveness of the proposed scheme.
The Decline of Freedom of Expression and Social Vulnerability in Western democracy
Authors: Masferrer Aniceto 
Published: March 2023

AbstractFreedom of expression is a fundamental part of living in a free and open society and, above all, a basic need of every human being and a requirement to attain happiness. Its absence has relevant consequences, not only for individuals but also for the whole social community. This might explain why freedom of expression was, along with other freedoms (conscience and religion; thought, belief, opinion, including that of the press and other media of communication; peaceful assembly; and association), at the core of liberal constitutionalism, and constitutes, since the Second World War, an essential element of constitutional democracies. In a democracy, people should be allowed to express themselves to others freely. The paper, which is divided into five sections, points out that states are obliged to protect the exercise of that freedom not only because its very purpose is the common good and welfare of society but also because it is a requirement of any constitutional democracy. Otherwise, when people cannot express themselves, perhaps out of fear (not from ‘war’ but from different kinds of social pressure or ‘violence’ exerted by some lobbies, mass media, or governmental policies that are at odds with respect for the plurality of opinions), vulnerability arises. This weakens not only those individuals that are not allowed to express their thoughts but also those who do not dare to do it – or even not to think for themselves – under certain environmental pressures (exerted by states, international organizations, social media, or financial groups, lobbies, etc.). In the end, the decline of freedom of expression makes most people more vulnerable and jeopardizes the whole democratic system.
Integrated Geological and Petrophysical Approaches for Characterizing the Pre-Cenomanian Nubian Sandstone Reservoirs in Ramadan Oil Field, Central Gulf of Suez, Egypt
Authors: Saleh Ahmed H. , Hemimey Wafaa A. El , Leila Mahmoud 
Published: March 2023

AbstractThe present study integrates multidisciplinary geological and petrophysical approaches to characterize and evaluate the potential of the pre-Cenomanian Nubian sandstone reservoirs in the Ramadan oil field, the central offshore part of the Gulf of Suez, Egypt. The different petrophysical parameters of the Nubian sandstone reservoirs (shale volume, porosity, water saturation as well as gross and net-pay thicknesses) were mapped, and 3D slicing models for the hydrocarbon phases saturation were constructed to understand the reservoir heterogeneity and the distribution of the best reservoir facies. The petrophysical results of the pre-Cenomanian Nubian succession highlight very good reservoir intervals in the Nubian C sandstones containing thick pay zones (> 120 m). On the other side, the Nubian A and B reservoir rocks are less prospective with pay zone horizons (< 10 m). Integrated reservoir models and wireline log analysis elucidate that clay volume is the most detrimental factor to the reservoir quality as the pay zone thickness and hydrocarbon saturation often increase where the clay volume decreases. Therefore, the presence of scattered pay zone intervals in Nubian A and B is mainly related to their elevated clay content which acts as barriers for fluids flowing within the reservoir facies. The Nubian C succession contains three different reservoir rock types (RRT) with variable compositional and petrophysical properties. RRTI and RRTII sandstones comprise quartzose sandstones with very low clay content (< 10%) and are characterized by an open pore system dominated by macropores. These sandstones are less impacted by overburden pressure and therefore can preserve their depositional porosity and permeability. On the other hand, RRTIII reservoir rocks are clay rich (> 10%) with abundant mesopores that are more prone to compressibility and hence reduction of the pore volume and pore throat. The present study highlights the significance of comprehensive integration between wireline logs, cores, and 3D reservoir models in directing exploration endeavors toward prospective reservoirs in mature basins.
[18F]FDG-PET/CT in mechanically ventilated critically ill patients with COVID-19 ARDS and persistent inflammation
Authors: van Leer Bram , van Snick Johannes H. , Londema Mark , Nijsten Maarten W. N. , Kasalak Ömer , Slart Riemer H. J. A. , Glaudemans Andor W. J. M. , Pillay Janesh 
Published: March 2023

Abstract
Purpose
We report the findings of four critically ill patients who underwent an [18F]FDG-PET/CT because of persistent inflammation during the late phase of their COVID-19.

Methods
Four mechanically ventilated patients with COVID-19 were retrospectively discussed in a research group to evaluate the added value of [18F]FDG-PET/CT.

Results
Although pulmonary PET/CT findings differed, bilateral lung anomalies could explain the increased CRP and leukocytes in all patients. This underscores the limited ability of the routine laboratory to discriminate inflammation from secondary infections. Based on PET/CT findings, a secondary infection/inflammatory focus was suspected in two patients (pancreatitis and gastritis). Lymphadenopathy was present in patients with a detectable SARS-CoV-2 viral load. Muscle uptake around the hips or shoulders was observed in all patients, possibly due to the process of heterotopic ossification.

Conclusion
This case series illustrates the diagnostic potential of [18F]FDG-PET/CT imaging in critically ill patients with persistent COVID-19 for the identification of other causes of inflammation and demonstrates that this technique can be performed safely in mechanically ventilated critically ill patients.
Spreadsheets in Secondary School Statistics Education: Using Authentic Data for Computational Thinking
Authors: van Borkulo Sylvia Patricia , Chytas Christos , Drijvers Paul , Barendsen Erik , Tolboom Jos 
Published: March 2023

Abstract
Computational thinking (CT) is gaining attention in education as a part of digital literacy and can be addressed in several disciplines, including mathematics. Through the lens of Brennan and Resnick’s framework, we investigated how computational concepts, practices, and perspectives can be addressed in upper-secondary statistics lessons using spreadsheets through design-based research. Three classes of, in total, 58 16- to 17-year-old 11th-grade students explored several authentic real-life data sets in three 2-h sessions using spreadsheets. We evaluated the intervention by analyzing students’ workbooks, spreadsheet files, interviews, and questionnaires. The findings indicate that (1) students successfully engaged in computational concepts through using formulas, parameters, and conditional statements, (2) fruitfully applied data practices, and (3) demonstrated awareness of the relevance of CT for their everyday and future lives. These results highlight the potential of the use of spreadsheets in secondary school for developing computational thinking skills. Implications for further integration of CT in the mathematics curriculum are discussed.
Beyond the Colours of Hydrogen: Opportunities for Process Systems Engineering in Hydrogen Economy
Authors: Chew Yick Eu , Cheng Xin Hui , Loy Adrian Chun Minh , How Bing Shen , Andiappan Viknesh 
Published: March 2023

AbstractIn the midst of a climate crisis, alternative and low-carbon energy resources must be put to scale in order to achieve carbon emission reductions in the coming decades. In this respect, hydrogen has gained attention as an alternative energy carrier. Hydrogen can be produced from methods that are commonly classified by a range of colours. However, each hydrogen source has its own challenges in terms of energy security, energy equity, and environmental sustainability. This perspective offers insights about the critical role that Process Systems Engineering (PSE) will play in addressing these key challenges. We also present suggestions on possible future PSE studies in the area of the hydrogen economy.
FusaHelp: a web site program for the morphological identification of Fusarium species
Authors: Infantino Alessandro , Grottoli Alessandro , Bergamaschi Valentino , Oufensou Safa , Burgess Lester W , Balmas Virgilio 
Published: March 2023

AbstractFusarium is one of the most important phytopathogenic fungi of agricultural and human concern. More than 300 species have been described, many of which are pathogenic to important crops, flowers, forest trees, animals, and humans. Species belonging to this genus have been detected in all environments: grassland, desert, littoral, agricultural, alpine zones, aquatic, man-made, and hospitals. Despite the importance of molecular techniques for the identification of a fungal species, morphological criteria still have an important role, including for Fusarium species, for which morphological identification of species requires adequate training and experience. In this paper, we present FusaHelp, a computer-based, user-friendly tool for the morphological identification of common Fusarium species, based on the wide experience of the authors who have devoted most of their scientific careers to the identification and characterization of these species. The web-location of FusaHelp (https://www.fusahelp.com) will greatly facilitate morphological identification and is intended to provide support for all those people who work with this important genus and need a quick clue on the identification, even incomplete, of the Fusarium species that they are working with.
Digital transformation and marketing: a systematic and thematic literature review
Authors: Cioppi Marco , Curina Ilaria , Francioni Barbara , Savelli Elisabetta 
Published: March 2023

AbstractThis article provides a systematic review of the extensive and fragmented literature focused on Digital Transformation (DT) and marketing by identifying the main themes and perspectives (i.e., employees, customers, and business processes) studied by previous research. By mapping the DT literature in the area of marketing, 117 articles, published between 2014 and 2020, have been identified. Through the adoption of a content analysis process, a multi-dimensional framework synthesizing the DT and marketing binomial has been provided. Results identify two thematical patterns: the macro-themes, related to the main digital technologies adopted within the marketing function, and the micro-themes, related to the effect/impact of these technologies on marketing processes and activities. Concerning the micro-themes, findings show how they have mainly studied from the customer and business processes’ perspectives, thus identifying an interesting research gap related to the analysis of the DT-marketing phenomenon from the employees’ standpoint. Based on these results, the paper derives a research agenda by also providing theoretical and managerial implications. Theoretically, it is the first systematic and thematic review focused on DT and marketing. In particular, it analyses this binomial from a broad and comprehensive perspective, thus offering a synergistic framework of the existing literature, which allows an inclusive vision and understanding about the phenomenon. At the managerial level, the paper could help organizations to enhance their awareness about marketing areas and processes that could better benefit from digitalization, thus driving the overall transition of firms towards DT.
A Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks
Authors: Awotunde Joseph Bamidele , Ayo Femi Emmanuel , Panigrahi Ranjit , Garg Amik , Bhoi Akash Kumar , Barsocchi Paolo 
Published: March 2023

AbstractIntrusion detection(ID)methods are security frameworks designed to safeguard network information systems. The strength of an intrusion detection method is dependent on the robustness of the feature selection method. This study developed a multi-level random forest algorithm for intrusion detection using a fuzzy inference system. The strengths of the filter and wrapper approaches are combined in this work to create a more advanced multi-level feature selection technique, which strengthens network security. The first stage of the multi-level feature selection is the filter method using a correlation-based feature selection to select essential features based on the multi-collinearity in the data. The correlation-based feature selection used a genetic search method to choose the best features from the feature set. The genetic search algorithm assesses the merits of each attribute, which then delivers the characteristics with the highest fitness values for selection. A rule assessment has also been used to determine whether two feature subsets have the same fitness value, which ultimately returns the feature subset with the fewest features. The second stage is a wrapper method based on the sequential forward selection method to further select top features based on the accuracy of the baseline classifier. The selected top features serve as input into the random forest algorithm for detecting intrusions. Finally, fuzzy logic was used to classify intrusions as either normal, low, medium, or high to reduce misclassification. When the developed intrusion method was compared to other existing models using the same dataset, the results revealed a higher accuracy, precision, sensitivity, specificity, and F1-score of 99.46%, 99.46%, 99.46%, 93.86%, and 99.46%, respectively. The classification of attacks using the fuzzy inference system also indicates that the developed method can correctly classify attacks with reduced misclassification. The use of a multi-level feature selection method to leverage the advantages of filter and wrapper feature selection methods and fuzzy logic for intrusion classification makes this study unique.
Electronic surveillance criteria for non–ventilator-associated hospital-acquired pneumonia: Assessment of reliability and validity
Authors: Stern Sarah E. , Christensen Matthew A. , Nevers McKenna R. , Ying Jian , McKenna Caroline , Munro Shannon , Rhee Chanu , Samore Matthew H. , Klompas Michael , Jones Barbara E. 
Published: March 2023

AbstractObjective:Surveillance of non–ventilator-associated hospital-acquired pneumonia (NV-HAP) is complicated by subjectivity and variability in diagnosing pneumonia. We compared a fully automatable surveillance definition using routine electronic health record data to manual determinations of NV-HAP according to surveillance criteria and clinical diagnoses.Methods:We retrospectively applied an electronic surveillance definition for NV-HAP to all adults admitted to Veterans’ Affairs (VA) hospitals from January 1, 2015, to November 30, 2020. We randomly selected 250 hospitalizations meeting NV-HAP surveillance criteria for independent review by 2 clinicians and calculated the percent of hospitalizations with (1) clinical deterioration, (2) CDC National Healthcare Safety Network (CDC-NHSN) criteria, (3) NV-HAP according to a reviewer, (4) NV-HAP according to a treating clinician, (5) pneumonia diagnosis in discharge summary; and (6) discharge diagnosis codes for HAP. We assessed interrater reliability by calculating simple agreement and the Cohen κ (kappa).Results:Among 3.1 million hospitalizations, 14,023 met NV-HAP electronic surveillance criteria. Among reviewed cases, 98% had a confirmed clinical deterioration; 67% met CDC-NHSN criteria; 71% had NV-HAP according to a reviewer; 60% had NV-HAP according to a treating clinician; 49% had a discharge summary diagnosis of pneumonia; and 82% had NV-HAP according to any definition according to at least 1 reviewer. Only 8% had diagnosis codes for HAP. Interrater agreement was 75% (κ = 0.50) for CDC-NHSN criteria and 78% (κ = 0.55) for reviewer diagnosis of NV-HAP.Conclusions:Electronic NV-HAP surveillance criteria correlated moderately with existing manual surveillance criteria. Reviewer variability for all manual assessments was high. Electronic surveillance using clinical data may therefore allow for more consistent and efficient surveillance with similar accuracy compared to manual assessments or diagnosis codes.