bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategies and difficulties during students’ construction of data visualizations
Authors: Chang Hsin-Yi , Chang Yen-Jung , Tsai Meng-Jung 
Published: February 2024

Abstract
Background
Data visualizations transform data into visual representations such as graphs, diagrams, charts and so forth, and enable inquiries and decision-making in many professional fields, as well as in public and economic areas. How students’ data visualization literacy (DVL), including constructing, comprehending, and utilizing adequate data visualizations, can be developed is gaining increasing attention in STEM education. As fundamental steps, the purpose of this study was to understand common student difficulties and useful strategies during the process of constructing data visualization so that suggestions and principles can be made for the design of curricula and interventions to develop students’ DVL.

Methods
This study engaged 57 college and high school students in constructing data visualizations relating to the topic of air quality for a decision-making task. The students’ difficulties and strategies demonstrated during the process of data visualization were analyzed using multiple collected data sources including the students’ think-aloud transcripts, retrospective interview transcripts, and process videos that captured their actions with the data visualization tool. Qualitative coding was conducted to identify the students’ difficulties and strategies. Epistemic network analysis (ENA) was employed to generate network models revealing how the difficulties and strategies co-occurred, and how the college and high school students differed.

Results
Six types of student difficulties and seven types of strategies were identified. The strategies were further categorized into non-, basic- and high-level metavisual strategies. About three-quarters of the participants employed basic or high-level metavisual strategies to overcome the technological and content difficulties. The high school students demonstrated a greater need to develop content knowledge and representation skills, whereas the college students needed more support to know how to simplify data to construct the best data visualizations.

Conclusions and implications
The study specified metacognition needed for data visualization, which builds on and extends the cognitive model of drawing construction (CMDC) and theoretical perspectives of metavisualization. The results have implications for developing students’ data visualization literacy in STEM education by considering the difficulties and trajectories of metacognitive strategy development, and by addressing the different patterns and needs demonstrated by the college and high school students.
Optimization of Clostridium beijerinckii semi-solid fermentation of rape straw to produce butyric acid by genome analysis
Authors: Kou Hui , Zheng Jia , Ye Guangbin , Qiao Zongwei , Zhang Kaizheng , Luo Huibo , Zou Wei 
Published: February 2024

AbstractButyric acid is a volatile saturated monocarboxylic acid, which is widely used in the chemical, food, pharmaceutical, energy, and animal feed industries. This study focuses on producing butyric acid from pre-treated rape straw using simultaneous enzymatic hydrolysis semi-solid fermentation (SEHSF). Clostridium beijerinckii BRM001 screened from pit mud of Chinese nongxiangxing baijiu was used. The genome of C. beijerinckii BRM001 was sequenced and annotated. Using rape straw as the sole carbon source, fermentation optimization was carried out based on the genomic analysis of BRM001. The optimized butyric acid yield was as high as 13.86 ± 0.77 g/L, which was 2.1 times higher than that of the initial screening. Furthermore, under optimal conditions, non-sterile SEHSF was carried out, and the yield of butyric acid was 13.42 ± 0.83 g/L in a 2.5-L fermentor. This study provides a new approach for butyric acid production which eliminates the need for detoxification of straw hydrolysate and makes full use of the value of fermentation waste residue without secondary pollution, making the whole process greener and more economical, which has a certain industrial potential.
Graphical Abstract
A soft, scalable and adaptable multi-contact cuff electrode for targeted peripheral nerve modulation
Authors: Paggi Valentina , Fallegger Florian , Serex Ludovic , Rizzo Olivier , Galan Katia , Giannotti Alice , Furfaro Ivan , Zinno Ciro , Bernini Fabio , Micera Silvestro , Lacour Stéphanie P. 
Published: February 2024

Abstract
Background
Cuff electrodes target various nerves throughout the body, providing neuromodulation therapies for motor, sensory, or autonomic disorders. However, when using standard, thick silicone cuffs, fabricated in discrete circular sizes, complications may arise, namely cuff displacement or nerve compression, due to a poor adaptability to variable nerve shapes and sizes encountered in vivo. Improvements in cuff design, materials, closing mechanism and surgical approach are necessary to overcome these issues.

Methods
In this work, we propose a microfabricated multi-channel silicone-based soft cuff electrode with a novel easy-to-implant and size-adaptable design and evaluate a number of essential features such as nerve-cuff contact, nerve compression, cuff locking stability, long-term integration and stimulation selectivity. We also compared performance to that of standard fixed-size cuffs.

Results
The belt-like cuff made of 150 μm thick silicone membranes provides a stable and pressure-free conformal contact, independently of nerve size variability, combined with a straightforward implantation procedure. The adaptable design and use of soft materials lead to limited scarring and demyelination after 6-week implantation. In addition, multi-contact designs, ranging from 6 to 16 electrodes, allow for selective stimulation in models of rat and pig sciatic nerve, achieving targeted activation of up to 5 hindlimb muscles.

Conclusion
These results suggest a promising alternative to classic fixed-diameter cuffs and may facilitate the adoption of soft, adaptable cuffs in clinical settings.
What do you think it means? Using cognitive interviewing to improve measurement in implementation science: description and case example
Authors: Patel-Syed Zabin , Becker Sara , Olson Miranda , Rinella Hailey , Scott Kelli 
Published: February 2024

AbstractPragmatic measures are essential to evaluate the implementation of evidence-based interventions. Cognitive interviewing, a qualitative method that collects partner feedback throughout measure development, is particularly useful for developing pragmatic implementation measures. Measure developers can use cognitive interviewing to increase a measure’s fit within a particular implementation context. However, cognitive interviewing is underused in implementation research, where most measures remain “homegrown” and used for single studies. We provide a rationale for using cognitive interviewing in implementation science studies and illustrate its use through a case example employing cognitive interviewing to inform development of a measurement-based care protocol for implementation in opioid treatment programs. Applications of cognitive interviewing, including developing a common language with partners and collecting multi-level feedback on assessment procedures, to improve measurement in implementation science are discussed.
The impact of climate risk disclosure on financial performance, financial reporting and risk management: evidence from Egypt
Authors: Megeid Nevine Sobhy Abdel 
Published: February 2024

AbstractWhere Egypt stand with climate related-risk disclosures and why stakeholders and organizations require such information? This research aims to measure the climate risk disclosure level in Egyptian companies and to investigate its determinants. As unfavorable climatic circumstances create systemic risk for businesses throughout the whole global economy, this research examine how the disclosure of climate change risks affects the financial performance, financial reporting, and risk management. Few studies analyze how climate-related risk affects the financial performance of publicly traded companies in Egypt. This research applies regression models using both quantitative and qualitative methodologies. The information was gleaned from the 2019 through 2022 financial statements of 25 publicly traded companies. According to statistical analysis, there is a significant positive association between the financial performance, financial reporting, and risk management of industrial organizations and the disclosure of climate change. The findings show that the financial markets require precise, thorough, and high-quality information about the effects of climate change. This encompasses the threats and chances posed by increasing temperatures, climate-related legislation, and new technology in our rapidly evolving global environment.
Market volatility and crisis dynamics: a comprehensive analysis of U.S., China, India, and Pakistan stock markets with oil and gold interconnections during COVID-19 and Russia–Ukraine war periods
Authors: Khan Muhammad Niaz 
Published: February 2024

AbstractThe objective of this paper is to explore the interconnectedness of volatility among the stock markets of U.S., China, India, and Pakistan in conjunction with oil and gold markets. Employing the novel Time-Varying Parameter Vector Autoregression (TVP-VAR) model for assessing connectedness, the study scrutinizes key patterns of dependency and interrelation between these markets. Furthermore, this study investigates the dynamic connectedness during the global health crisis due to COVID-19 and the geopolitical crisis due to Russia–Ukraine war periods to identify the changes in their relationship following the two crises episodes. The findings underscore the significance of volatility transmissions emanating from the U.S., a developed market, in shaping these dynamic linkages. It is observed that oil and gold returns play a limited role as sources of shocks for market returns in China, India, and Pakistan, suggesting a relatively lower contribution of oil and gold to equity market volatility. The results also emphasize the safe-haven characteristics of gold during periods of crisis such as the COVID-19 pandemic and the Russia–Ukraine war. Moreover, the study indicates that the volatility transmissions during the COVID-19 pandemic are more pronounced compared to the Russia–Ukraine war crisis. These findings hold notable implications for both investors and policymakers, emphasizing the need for a nuanced understanding of market dynamics and the development of risk-averse strategies, particularly in times of crisis.
Usefulness and Accuracy of Artificial Intelligence Chatbot Responses to Patient Questions for Neurosurgical Procedures
Authors: Gajjar Avi A. , Kumar Rohit Prem , Paliwoda Ethan D. , Kuo Cathleen C. , Adida Samuel , Legarreta Andrew D. , Deng Hansen , Anand Sharath Kumar , Hamilton D. Kojo , Buell Thomas J. , Agarwal Nitin , Gerszten Peter C. , Hudson Joseph S. 
Published: February 2024

BACKGROUND AND OBJECTIVES:The Internet has become a primary source of health information, leading patients to seek answers online before consulting health care providers. This study aims to evaluate the implementation of Chat Generative Pre-Trained Transformer (ChatGPT) in neurosurgery by assessing the accuracy and helpfulness of artificial intelligence (AI)–generated responses to common postsurgical questions.METHODS:A list of 60 commonly asked questions regarding neurosurgical procedures was developed. ChatGPT-3.0, ChatGPT-3.5, and ChatGPT-4.0 responses to these questions were recorded and graded by numerous practitioners for accuracy and helpfulness. The understandability and actionability of the answers were assessed using the Patient Education Materials Assessment Tool. Readability analysis was conducted using established scales.RESULTS:A total of 1080 responses were evaluated, equally divided among ChatGPT-3.0, 3.5, and 4.0, each contributing 360 responses. The mean helpfulness score across the 3 subsections was 3.511 ± 0.647 while the accuracy score was 4.165 ± 0.567. The Patient Education Materials Assessment Tool analysis revealed that the AI-generated responses had higher actionability scores than understandability. This indicates that the answers provided practical guidance and recommendations that patients could apply effectively. On the other hand, the mean Flesch Reading Ease score was 33.5, suggesting that the readability level of the responses was relatively complex. The Raygor Readability Estimate scores ranged within the graduate level, with an average score of the 15th grade.CONCLUSION:The artificial intelligence chatbot's responses, although factually accurate, were not rated highly beneficial, with only marginal differences in perceived helpfulness and accuracy between ChatGPT-3.0 and ChatGPT-3.5 versions. Despite this, the responses from ChatGPT-4.0 showed a notable improvement in understandability, indicating enhanced readability over earlier versions.
Shared features in ear and kidney development – implications for oto-renal syndromes
Authors: Wang Scarlet Xiaoyan , Streit Andrea 
Published: February 2024

ABSTRACT
The association between ear and kidney anomalies has long been recognized. However, little is known about the underlying mechanisms. In the last two decades, embryonic development of the inner ear and kidney has been studied extensively. Here, we describe the developmental pathways shared between both organs with particular emphasis on the genes that regulate signalling cross talk and the specification of progenitor cells and specialised cell types. We relate this to the clinical features of oto-renal syndromes and explore links to developmental mechanisms.
Effects of insect pursuit on the Doppler shift compensation in a hipposiderid bat
Authors: Ma Nina , Xia Hangjing , Yu Chao , Wei Tingting , Yin Kuiying , Luo Jinhong 
Published: February 2024

ABSTRACT
Doppler shift compensation (DSC) is a unique feature observed in certain species of echolocating bats and is hypothesized to be an adaptation to detecting fluttering insects. However, current research on DSC has primarily focused on bats that are not engaged in foraging activities. In this study, we investigated the DSC performance of Pratt's roundleaf bat, Hipposideros pratti, which was trained to pursue insects in various motion states within a laboratory setting. Our study yielded three main results. First, H. pratti demonstrated highly precise DSC during insect pursuit, aligning with previous findings of other flutter-detecting foragers during orientation or landing tasks. Second, we found that the motion state of the insect prey had little effect on the DSC performance of H. pratti. Third, we observed variations in the DSC performance of H. pratti throughout the course of insect pursuit. The bats exhibited the highest DSC performance during the phase of maximum flight speed but decreased performance during the phase of insect capture. These findings of high precision overall and the time-dependent performance of DSC during insect pursuit support the hypothesis that DSC is an adaptation to detecting fluttering insects.
Proximate (Co-)Working: Knowledge Spillovers and Social Interactions
Authors: Roche Maria P. , Oettl Alexander , Catalini Christian 
Published: February 2024

We examine the influence of physical proximity on between-start-up knowledge spillovers at one of the largest technology coworking hubs in the United States. Relying on the exogenous assignment of office space to the hub’s 251 start-ups, we find that proximity positively influences knowledge spillovers as proxied by the likelihood of adopting an upstream web technology already used by a peer start-up. This effect is largest for start-ups within close proximity of each other and quickly decays; start-ups more than 20 meters apart on the same floor are indistinguishable from start-ups on different floors. The main driver of the effect appears to be social interactions. Although start-ups in close proximity are most likely to participate in social coworking space events together, knowledge spillovers are greatest between start-ups that socialize but are dissimilar. Ultimately, start-ups that are embedded in environments that have neither too much nor too little diversity perform better but only if they socialize. This paper was accepted by Toby Stuart, entrepreneurship and innovation. Funding: The authors acknowledge funding from the Kauffman Junior Faculty Fellowship and from the Harvard Business School Division of Research and Faculty Development. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.03555 .
Digital Skills and the Use of Digital Platforms in the Informal Sector: A Case Study Among Jua Kali Artisans in Nairobi in Kenya
Authors: Momanyi Christopher , Rasugu Riechi Andrew , Khatete Ibrahim 
Published: February 2024

Context: For many businesses, one of the key indicators in their management is the adaptation of Information Technology in their operations. In Kenya, there has been a phenomenal growth in access to mobile phones, by June 2023, over 66 million mobile phones were connected to various telecommunication operators of which 58.3% were smart phones constituting 67.1% of internet connections. There are many digital technologies which can be adapted to facilitate the processing, dissemination, and access of information. The modern world has become competitive due to the uptake of Information Technology as one of the main business management skill, with the availability of smart phones and many applications that are easily available and easy to use. One of the main beneficiaries of Information Communication Technologies (ICTs) is the Jua Kali artisans who are a key player in the Kenyan economy. Entrepreneurial competencies help the growth of businesses along the dimension of innovation. Kenya intends to entrench the use of Information Technology for public service delivery, business, skills, and innovation. The Jua Kali sector cannot be ignored, it contributes more than 80% of the total employment in Kenya.
Approach: This research was carried out in the Eastlands of Nairobi, Kenya. Data were collected using a questionnaire, an interview and observation schedule. The study used an interview schedule to collect data from Jua Kali artisans carrying out their artisan businesses in the Eastlands of Nairobi and a questionnaire survey to collect data from a sample of identified Nairobi residents who had engaged an artisan to work for them six months prior to the research.
Findings: The research established that most Jua Kali artisans acquired their skills in the Jua Kali sector by apprenticeship (86.3%) while a small percentage (12.7%) trained in Technical Vocational Education Training (TVET) institutions while a further one percent were trained by their former employers. Most of the artisans had attained the basic formal education qualifications i.e. primary education (27.9%) and secondary education (47.6%). The Chi-square (χ²) test was used to test the relationship between use of the basic social media digital platforms in business management and the formal education attained by artisans owning artisan businesses.
Conclusion: At 0.05 level of significance (α) the research established that there is a significant relationship between the adaptation of digital platforms in business management and the formal education attained by the artisans.
Differences in prescribed medicinal cannabis use by cannabinoid product composition: Findings from the cannabis as medicine survey 2020 (CAMS-20) Australia-wide study
Authors: Trevitt Benjamin T. , Bailey Sasha , Mills Llewellyn , Arkell Thomas R. , Suraev Anastasia , McGregor Iain S. , Lintzeris Nicholas 
Published: February 2024

Introduction
Prescribed medicinal cannabis (MC) is an increasingly common prescription in Australia for treating pain, anxiety, and sleep disorders. Prescribed MC products generally contain tetrahydrocannabinol (THC) and/or cannabidiol (CBD) in a variety of dose levels and forms. It is unclear whether THC and CBD products are used by patients with different characteristics and for different conditions.

Objectives
To examine consumer experiences of using THC- and CBD-containing prescribed MC products to better understand how they are being used within the Australian context.

Methods
We utilised data collected from an online anonymous cross-sectional survey of individuals (CAMS-20 survey), consisting of Australian residents using cannabis for therapeutic reasons. We focused on a subgroup of participants (N = 546) receiving prescribed MC products. We utilised linear, logistic, and multinomial regression modelling to analyse responses to survey questions based on the cannabinoid profile of the prescribed product.

Results
Participants prescribed THC-dominant MC products were statistically more likely to be younger, male, and to prefer inhaled routes of administration than participants using CBD-dominant products who were older, female, and preferred oral routes of administration. Pain and mental health were the most common reasons for all types of prescribed MC, but were more likely to be treated with THC than CBD despite the significantly higher risk of mild to severe drowsiness, dry mouth and eye irritation. Consumer reported effectiveness of prescribed MC was very positive, particularly for THC-containing products. Consumers on opioids and antipsychotics were statistically more likely to be prescribed THC-containing products than products containing CBD only, despite the greater risk of impairment.

Conclusions
This Australia-wide study found clear differences in consumer-reported experiences of prescribed THC- and CBD-containing products. Current prescriptions of these products do not always align with relevant clinical guidance. Educating prescribers around cannabinoid products is essential to ensure optimal prescribing practices and to prevent avoidable drug side effects and interactions.