bluuebunny/crossref_metadata_2025_split huggingface dataset:
A values-driven academic affiliation between a public medical school and a private healthcare provider: exploring the perceptions of key opinion leaders
Authors: Du Preez Leon , Otaki Farah , Clemens Timo , Al-Hammadi Suleiman , Stanley Adrian , Ho Samuel B. , Kilian Paddy , Loubser Pietie , Bayoumi Riad , Ezimokhai Mutairu , Bedford Barry , Fathey Tarek , AlGurg Reem , Suwaidi Hanan Al , Sharif Amer A. , Alsheikh-Ali Alawi A. 
Published: July 2024

Abstract

In an Academic Health System model where university and clinical care institutions are separate entities, robust agreements are needed for effective working relationships among the involved institutions. There is paucity in the literature around reports of such affiliations, especially those relating to public private partnerships. Accordingly, the overall purpose of this study is to explore the perception of key opinion leaders about the development of a values-driven affiliation between a public medical school and a private healthcare provider in an Academic Health System in Dubai, United Arab Emirates. The process of developing the respective affiliation was based on the principles of action research. It involved ongoing cycles of planning, acting, observing, and reflecting. This study relied on a qualitative phenomenological research design, where 18 primary stakeholders, who played an active role in making the affiliation, were given the option of providing their feedback either in writing, using a tailor-made questionnaire, or in the form of a semi-structured interview. Constructivist epistemology constituted the basis of the entailed interpretive qualitative analysis, which followed the six-step analysis approach initially introduced by Braun and Clarke (2006). The qualitative analysis led, as per this study’s conceptual framework: ‘Public Private Affiliation Journey’, to two interconnected themes, namely: Key Milestones and Driving Forces. Within Key Milestones, seven sequential categories were identified: Observing a triggering need, Finding a good match, Seizing the opportunity, Arriving at a common ground, Looking ahead, Venturing for the right reasons, and Reaping the benefits. Within the second theme: Driving Forces, the following three categories were identified: Aspiring for success, Leveraging human qualities, and Doing things the right way. This study showed that there is a latent potential in forming public private partnerships that can enable the formation and development of Academic Health Systems. It also showcased how the guidelines of action research can be set as the basis of the process of partnership formation, and how following those guidelines in such an endeavor maximizes value for all. Lastly, this study introduced the ‘Public Private Affiliation Journey’ conceptual framework, which can be deployed in ‘federated’ Academic Health Systems worldwide to increase the chances of success of public private partnerships and to maximize the value attained through them.
Comprehensive representation of health-related phenotypes in one million dogs using topic modelling of electronic health records
Authors: Noble Peter-John Mäntylä , Farrell Sean Oliver , Al-Moubayed Noura , Radford Alan David 
Published: July 2024

Abstract

Historically, veterinary studies screening for breed, age and sex predisposition to disease have relied on collating small-scale studies of clinical datasets. The availability of larger datasets through groups such as the Small Animal Veterinary Surveillance Network (SAVSNET) promise access to information regarding wide range of clinical presentations at scale, however, methodological limitations surrounding the extraction of specific disease information or screening for disease predispositions result in a substantial reduction in the number of animals studied. These studies often address very focused hypotheses - only leveraging a small fraction of the intrinsic value of the data at any one time. Here, we implemented an unsupervised machine learning methodology, creating a representation of a large volume of clinical notes collected by SAVSNET from veterinary practices across the UK. We capture breed, age and sex predisposition and offer statistical and temporal possibilities across various clinically important presentations. We utilise BERTopic, a topic-modelling tool based on Bidirectional Encoder Representations using Transformers (BERT) architecture, which surfaces known phenotypes, such as breed predispositions to hypoadrenocorticism, diabetes mellitus and mitral valve disease, and potential novel patterns of disease phenotypes. This scalable and granular modelling technique facilitates the rapid interrogation of large clinical datasets, enabling the identification of broad phenotypic diversity within the population and the early detection of temporal changes indicative of emerging infectious or environmental diseases.
Advancing Blockchain-Enabled InterPlanetary File System with Substrate for Distributed Data Storage
Authors: Nyirenda Clement , Nododile Thandile 
Published: July 2024

Abstract

In addressing the significant challenges caused by the expansion of data storage needs in blockchain systems, this paper explores the integration of the InterPlanetary File System (IPFS) with Substrate-based blockchain. By leveraging IPFS for off-chain storage and Substrate for on-chain operations, this system addresses the key challenges such as bloated storage, inefficiency, and accessibility while preserving data distribution and privacy. Through a comparative analysis with an Ethereum-based system, this study reveals significant advantages of the
Substrate-IPFS solution. There is a significant reduction in data storage size and faster block confirmation times, leading to potentially lower transaction costs. The proposed approach enhances data privacy through the use of the Blake2 hashing algorithm. Overall, this research showcases the potential of Substrate-IPFS integration in overcoming the limitations of traditional blockchain storage approaches. Further exploration into the storage cost optimisation within the Substrate framework and additional functionalities using modular pallets could pave the way for significant advancements in the distributed data storage.
Study on the evolution of dissolved organic matter in the underground storage of mine water
Authors: Zhang Xiyu , Dong Shuning , Liang Jidong , Guo Xiaoming , Huang Lingyun 
Published: July 2024

ABSTRACT

The water–rock interactions significantly affect the dissolution and release of dissolved organic matter (DOM) during the reinjection of mine water into the underground reservoir. In this study, the surface characteristics and chemical composition of the natural medium from the open-pit coal mine were characterized. The waste consists mainly of quartz-dominated sandstone (43.64%) and mudstone dominated by sanidine (76.36%). During the 35-day experiment, two protein-like, one humus-like, and one fulvic acid-like substances were identified by PARAFAC. It was observed that the type of aqueous medium significantly affected the variational trend of DOM. Compared to the artificial medium, the fluorescence intensity of waste materials in the waste dump increased significantly during the reinjection process. Therefore, a positive correlation was observed between the fraction of mudstone in the aqueous medium and the DOM composition, mainly due to the dissolution of polycyclic aromatic hydrocarbon substances from the mudstone. The results revealed that the natural water storage medium had a certain water storage feasibility when compared with the expensive artificial medium. However, the fraction of mudstone in the water storage medium should be controlled to minimize the release of organic matter into the environment.
Cancer Antibody Engineering: Comparison of Mammalian, Yeast, Bacterial, Plants, Cell-free and Hybridoma Expression Systems
Authors: Ng Ming Guan , Tan Hui Ying , Ng Pei Ying , Koh Rhun Yian , Voon Kenny Gah Leong , Chye Soi Moi 
Published: July 2024

Background:
Cancer is a significant issue worldwide. Generally, commercially
available treatments, such as surgery, radiotherapy, and chemotherapy, are associated with undesirable
complications. Hence, immunotherapy serves as a crucial alternative to those treatment
options.

Objective:
This modality is aimed to boost the immune system through the application of engineered
antibodies, which can be produced using recombinant DNA technology.

Results:
The discussion of the technologies leads to an introduction of the single-chain variable
fragment (scFv). Thereafter, the advantages, disadvantages, and challenges associated with different
expression systems, such as mammalian cells, yeast cells, bacterial cells, plant cells, and
phage display were discussed comprehensively.

Conclusion:
Furthermore, conventional approaches such as hybridoma and modern approaches
such as cell-free protein synthesis (CFPS) and simple colony assays are included. In short, this
article has compiled evidence relating to each display system and may serve as a reference for
those who aim to explore antibody engineering using one of the methods listed in this article.
Applicability of Salting-out Liquid-liquid Extraction for New Fluorimetric Quantification of Omadacycline in Pharmaceutical Formulations and Biological Samples
Authors: Alzahrani Eman , Abdel-Lateef Mohamed A. , Salman Baher I. 
Published: July 2024

Objective:
A detectable innovative fluorimetric method was used to determine OMC in
human plasma matrices, pharmaceutical tablets, and vials with high recovery rates and without biological
interference.

Methods:
The fluorimetric technique was used based on the interaction between 4-chloro7-nitrobenzofurazan
(NBD-Cl) with a (2-ry amine group) in OMC with pH 8.0, which generates a fluorescent
compound measured at 530 nm (exci 470 nm) following a 10-minute heating step at 80 oC.
The plasma and milk samples were treated with ammonium sulfate as a salting-out procedure.

Results:
Omadacycline (OMC) was successfully determined in pharmaceuticals, plasma, and milk
samples with a linear range from 60.0 to 700.0 ng mL-1, with the lower limit of detection (LOD
5.18 ng mL-1) and limit of quantitation (LOQ 15.72 ng mL-1).

Conclusion:
This simple, reliable, and detectable fluorimetric method was successfully developed
to determine omadacycline in pharmaceutical tablets, plasma samples, and milk with high recovery
rates.
Efficacy of Keystroke Dynamics-Based User Authentication in the Face of Language Complexity
Authors: Dutta Sandip , Roy Utpal , Roy Soumen 
Published: July 2024

Introduction:
This study investigates the impact of language complexity on Keystroke
Dynamics (KD) and its implications for accurate KD-based user authentication system
performance in smartphones.

Method:
This research meticulously analyzes keystroke patterns using 160 volunteers, including
both frequently typed and infrequently typed texts. Our analysis of 12 anomaly detection
algorithms reveals that a simple text-based KD system consistently outperforms its complex
counterpart with superior Equal Error Rates (EERs).

Results:
As a result, the Scaled Manhattan anomaly detector achieves an EER of 2.48% for
simple text and an improvement over 2.98% for complex text. The incorporation of soft biometrics
further enhances algorithmic performance, emphasizing strategies to build resilience
into KD-based user authentication systems.

Conclusion:
Throughout this study, the importance of text complexity is emphasized, and innovative
pathways are introduced to strengthen KD-based user authentication paradigms.
DECREASING ELECTRICAL ENERGY COST AND INDIRECT CO2 EMISSIONS OF AN AIR CONDITIONING UNIT AFTER PREVENTIVE MAINTENANCE
Authors: Risonarta Victor Yuardi , Widodo Agung Sugeng 
Published: July 2024

During the summer season in subtropical countries and the dry season in tropical countries, air temperature is high. To adapt this condition, an air conditioning (AC) unit is used. The air conditioning use, however, increases the electrical energy consumption which contributes to the increase of indirect CO2 emissions. For many buildings, a monthly electrical energy cost from the use of AC system can contribute up to 40% of a monthly utility expenditure. It is then a great motivation to decrease electrical energy consumption of the AC unit. In this work, an adaptable preventive maintenance for an AC unit shows an acceptable level of electrical energy decrease. An experiment was performed for 2 AC types. The first one is a wall mounted unit with a cooling capacity of 9,300 BTUH. The second unit is a split duct unit with a cooling capacity of 48,000 BTUH. The cleaning of evaporator in the wall-mounted AC unit decreased the hourly electrical energy consumption by 4.1% from 810 to 777 Watt-hour. In addition, cleaning of condenser for the similar AC unit decreased the electrical energy consumption by 6.2% from 810 to 760 Watt-hour. Meanwhile, the evaporator cleaning for a 48,000 split duct AC decreased the hourly electrical energy consumption by 2.4% from 4.64 to 4.53 kWh and cleaning of condenser decreased the energy consumption by 5.4% from 4.64 to 4.39 kWh. If this electrical energy decrease could be scaled up to the global energy consumption from the air conditioning use, this should be a significant decrease of the global energy consumption and the correlated indirect CO2 emissions from the air conditioning sector.
Effectiveness of eHealth Interventions in Improving Medication Adherence Among Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis
Authors: Miao Yiqun , Luo Yuan , Zhao Yuhan , Liu Mingxuan , Wang Huiying , Wu Ying 
Published: July 2024

Background
Nonadherence to medication among patients with cardiovascular diseases undermines the desired therapeutic outcomes. eHealth interventions emerge as promising strategies to effectively tackle this issue.

Objective
The aim of this study was to conduct a network meta-analysis (NMA) to compare and rank the efficacy of various eHealth interventions in improving medication adherence among patients with cardiovascular diseases (CVDs).

Methods
A systematic search strategy was conducted in PubMed, Embase, Web of Science, Cochrane, China National Knowledge Infrastructure Library (CNKI), China Science and Technology Journal Database (Weipu), and WanFang databases to search for randomized controlled trials (RCTs) published from their inception on January 15, 2024. We carried out a frequentist NMA to compare the efficacy of various eHealth interventions. The quality of the literature was assessed using the risk of bias tool from the Cochrane Handbook (version 2.0), and extracted data were analyzed using Stata16.0 (StataCorp LLC) and RevMan5.4 software (Cochrane Collaboration). The certainty of evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach.

Results
A total of 21 RCTs involving 3904 patients were enrolled. The NMA revealed that combined interventions (standardized mean difference [SMD] 0.89, 95% CI 0.22-1.57), telephone support (SMD 0.68, 95% CI 0.02-1.33), telemonitoring interventions (SMD 0.70, 95% CI 0.02-1.39), and mobile phone app interventions (SMD 0.65, 95% CI 0.01-1.30) were statistically superior to usual care. However, SMS compared to usual care showed no statistical difference. Notably, the combined intervention, with a surface under the cumulative ranking curve of 79.3%, appeared to be the most effective option for patients with CVDs. Regarding systolic blood pressure and diastolic blood pressure outcomes, the combined intervention also had the highest probability of being the best intervention.

Conclusions
The research indicates that the combined intervention (SMS text messaging and telephone support) has the greatest likelihood of being the most effective eHealth intervention to improve medication adherence in patients with CVDs, followed by telemonitoring, telephone support, and app interventions. The results of these network meta-analyses can provide crucial evidence-based support for health care providers to enhance patients’ medication adherence. Given the differences in the design and implementation of eHealth interventions, further large-scale, well-designed multicenter trials are needed.

Trial Registration
INPLASY 2023120063; https://inplasy.com/inplasy-2023-12-0063/
A 25-Year Retrospective of the Use of AI for Diagnosing Acute Stroke: Systematic Review
Authors: Wang Zhaoxin , Yang Wenwen , Li Zhengyu , Rong Ze , Wang Xing , Han Jincong , Ma Lei 
Published: July 2024

Background
Stroke is a leading cause of death and disability worldwide. Rapid and accurate diagnosis is crucial for minimizing brain damage and optimizing treatment plans.

Objective
This review aims to summarize the methods of artificial intelligence (AI)–assisted stroke diagnosis over the past 25 years, providing an overview of performance metrics and algorithm development trends. It also delves into existing issues and future prospects, intending to offer a comprehensive reference for clinical practice.

Methods
A total of 50 representative articles published between 1999 and 2024 on using AI technology for stroke prevention and diagnosis were systematically selected and analyzed in detail.

Results
AI-assisted stroke diagnosis has made significant advances in stroke lesion segmentation and classification, stroke risk prediction, and stroke prognosis. Before 2012, research mainly focused on segmentation using traditional thresholding and heuristic techniques. From 2012 to 2016, the focus shifted to machine learning (ML)–based approaches. After 2016, the emphasis moved to deep learning (DL), which brought significant improvements in accuracy. In stroke lesion segmentation and classification as well as stroke risk prediction, DL has shown superiority over ML. In stroke prognosis, both DL and ML have shown good performance.

Conclusions
Over the past 25 years, AI technology has shown promising performance in stroke diagnosis.
A Comparative Study of China's Ecological Image Constructed by Chinese and British Media Discourse on the Belt and Road Initiative in 2023 Based on Transitivity System
Authors: Zhang Mingfang , Ling Xinyue 
Published: July 2024

The paper adopts a combination of qualitative and quantitative research methods to compare China’s ecological image constructed in the Belt and Road Initiative Reports in 2023 between China Daily and Reuters. It finds that China Daily's news reports on the Belt and Road involve material processes (59.8%)> verbal processes (19.5%) >mental processes (12.6%)>relational processes (6.6%)> existential processes (1.5%). Reuters’ news reports on the Belt and Road involve material processes (52.1%)>verbal processes (26.1%)>relational processes (16.1%), existential processes (3.8%)>mental processes (1.9%). The use of transitivity in the China Daily constructs an ecological image that is committed to rejecting political struggles, and pursuing peaceful and green development. In contrast, Reuters’s use of transitivity constructs an ecological image that pursues green development, but with an arrogant posture. The reason for the difference is that China Daily is influenced by the Chinese government’s ideology and political aims, while Reuters is influenced by Western values and strategic considerations of China's threat.
Common Financial Market of the EAEU: Concept, Structure and Problems of Formation
Authors: Agamagomedova S. А. 
Published: July 2024

Aim. The purpose of the study is to substantiate the concept and structure of the common financial market of the Eurasian Economic Union, highlight the problems of its formation and ways to solve them. Tasks. The objectives of the study are: review and analysis of the definitions of the common financial market in the legal framework of the Eurasian Economic Union; highlighting key aspects of the development of the common financial market; defining its structure, problems of formation, proposing ways to solve them.Methods. Methods were used: institutional analysis, comparative analysis, system analysis to substantiate aspects of the formation and structure of the common financial market of the Eurasian Economic Union. The method of formal logical analysis was also used to clarify the concepts of the common financial market in various acts of the integration level.Results. Firstly, at the level of the Eurasian Economic Union, the concept and criteria of a common financial market have been established.Secondly, a broad and narrow understanding of the structure of the common financial market in the context of Eurasian integration is highlighted.Thirdly, the key aspects of the development of the common financial market are: expanding the range and accessibility of financial services; ensuring the rights of consumers of financial services and investors; security and transparency of financial services.Fourthly, the problems of forming a common financial market are highlighted, including the different levels of development of the markets of the integration member states, the weak sector of the securities and investment markets.Conclusions. The common financial market is part of Eurasian integration, the processes of formation of such a market are components of integration processes. The structure of the general financial market in the narrow sense includes the banking and insurance services sector, the securities market sector, and the relations between these sectors. A broad understanding of the structure of the general financial market additionally includes the tax, budget and currency areas.
VALUASI EKONOMI DAN DAMPAK WISATA PANTAI TANJUNG PASIR TERHADAP SOSIAL EKONOMI MASYARAKAT SEKITAR DI KABUPATEN TANGERANG
Authors: Futakhah Siti , Prasmatiwi Fembriarti Erry , Marlina Lina 
Published: July 2024

This study aims to examine the factors that influence the number of tourists who visit Tanjung Pasir Beach, the economic value of tourism, and the impact of tourism on Tangerang Regency's economy. A survey was used in this study, with 77 visitors, 15 businessmen, and a tourism manager responding to the survey. The Tanjung Pasir Beach was selected intentionally as the location for the research. The collection of data was conducted in January - February 2023. This study employed the travel cost, multiple linear regression, and Keynesian multiplier effect as data analysis techniques. The findings revealed that visitors spent IDR102,493.51 per individual per visit on transportation. Distance, age, income, travel costs, facilities, and infrastructure are all factors that influence the number of tourist visits. The result of the calculation of travel cost using TCM on Tanjung Pasir Beach has a yearly economic value of IDR 44,801,325,052. The multiplier effect is used to estimate the economic impact of Tanjung Pasir Beach tourism, which has a direct impact of IDR 193,031,663.83 per month, an indirect impact of IDR 116,505,417.50 per month, and a secondary impact of IDR 80,166,666.67 per month. Tanjung Pasir Beach tourism still has a low impact on the economy because the Keynesian income multiplier value is 0.04. Key words: economic impact, economic value, tourism, travel cost