bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elevated expression of glycolytic genes as a prominent feature of early-onset preeclampsia: insights from integrative transcriptomic analysis
Authors: He Jie , Yang Huan , Liu Zheng , Chen Miaomiao , Ye Ying , Tao Yuelan , Li Shuhong , Fang Jie , Xu Jiacheng , Wu Xiafei , Qi Hongbo 
Published: September 2023

Introduction: Preeclampsia (PE), a notable pregnancy-related disorder, leads to 40,000+ maternal deaths yearly. Recent research shows PE divides into early-onset (EOPE) and late-onset (LOPE) subtypes, each with distinct clinical features and outcomes. However, the molecular characteristics of various subtypes are currently subject to debate and are not consistent.Methods: We integrated transcriptomic expression data from a total of 372 placental samples across 8 publicly available databases via combat algorithm. Then, a variety of strategies including Random Forest Recursive Feature Elimination (RF-RFE), differential analysis, oposSOM, and Weighted Correlation Network Analysis were employed to identify the characteristic genes of the EOPE and LOPE subtypes. Finally, we conducted in vitro experiments on the key gene HK2 in HTR8/SVneo cells to explore its function.Results: Our results revealed a complex classification of PE placental samples, wherein EOPE manifests as a highly homogeneous sample group characterized by hypoxia and HIF1A activation. Among the core features is the upregulation of glycolysis-related genes, particularly HK2, in the placenta-an observation corroborated by independent validation data and single-cell data. Building on the pronounced correlation between HK2 and EOPE, we conducted in vitro experiments to assess the potential functional impact of HK2 on trophoblast cells. Additionally, the LOPE samples exhibit strong heterogeneity and lack distinct features, suggesting a complex molecular makeup for this subtype. Unsupervised clustering analysis indicates that LOPE likely comprises at least two distinct subtypes, linked to cell-environment interaction and cytokine and protein modification functionalities.Discussion: In summary, these findings elucidate potential mechanistic differences between the two PE subtypes, lend support to the hypothesis of classifying PE based on gestational weeks, and emphasize the potential significant role of glycolysis-related genes, especially HK2 in EOPE.
A robust and reliable methodology to perform GECI-based multi-time point neuronal calcium imaging within mixed cultures of human iPSC-derived cortical neurons
Authors: Patel Niraj , Ouellet Vincent , Paquet-Mercier François , Chetoui Nizar , Bélanger Erik , Paquet Marie-Eve , Godin Antoine G. , Marquet Pierre 
Published: September 2023

IntroductionHuman induced pluripotent stem cells (iPSCs), with their ability to generate human neural cells (astrocytes and neurons) from patients, hold great promise for understanding the pathophysiology of major neuropsychiatric diseases such as schizophrenia and bipolar disorders, which includes alterations in cerebral development. Indeed, the in vitro neurodifferentiation of iPSCs, while recapitulating certain major stages of neurodevelopment in vivo, makes it possible to obtain networks of living human neurons. The culture model presented is particularly attractive within this framework since it involves iPSC-derived neural cells, which more specifically differentiate into cortical neurons of diverse types (in particular glutamatergic and GABAergic) and astrocytes. However, these in vitro neuronal networks, which may be heterogeneous in their degree of differentiation, remain challenging to bring to an appropriate level of maturation. It is therefore necessary to develop tools capable of analyzing a large number of cells to assess this maturation process. Calcium (Ca2+) imaging, which has been extensively developed, undoubtedly offers an incredibly good approach, particularly in its versions using genetically encoded calcium indicators. However, in the context of these iPSC-derived neural cell cultures, there is a lack of studies that propose Ca2+ imaging methods that can finely characterize the evolution of neuronal maturation during the neurodifferentiation process.MethodsIn this study, we propose a robust and reliable method for specifically measuring neuronal activity at two different time points of the neurodifferentiation process in such human neural cultures. To this end, we have developed a specific Ca2+ signal analysis procedure and tested a series of different AAV serotypes to obtain expression levels of GCaMP6f under the control of the neuron-specific human synapsin1 (hSyn) promoter.ResultsThe retro serotype has been found to be the most efficient in driving the expression of the GCaMP6f and is compatible with multi-time point neuronal Ca2+ imaging in our human iPSC-derived neural cultures. An AAV2/retro carrying GCaMP6f under the hSyn promoter (AAV2/retro-hSyn-GCaMP6f) is an efficient vector that we have identified. To establish the method, calcium measurements were carried out at two time points in the neurodifferentiation process with both hSyn and CAG promoters, the latter being known to provide high transient gene expression across various cell types.DiscussionOur results stress that this methodology involving AAV2/retro-hSyn-GCaMP6f is suitable for specifically measuring neuronal calcium activities over multiple time points and is compatible with the neurodifferentiation process in our mixed human neural cultures.
Simultaneous radical cystectomy and nephroureterectomy in the treatment of panurothelial carcinoma: a systematic review and single-arm meta-analysis
Authors: Liu Yang , Zhang Huimin , Wen Zhi , Jiang Yu , Huang Jing , Wang Chongjian , Chen Caixia , Wang Jiahao , Bao Erhao , Yang Xuesong 
Published: September 2023

BackgroundPanurothelial carcinoma is a rare and aggressive malignancy that requires effective treatment strategies to enhance patient outcomes.MethodsWe conducted a systematic search of English publications in databases including PubMed, Embase, Cochrane Library, and Web of Science up to May 2023. The quality of the literature was assessed using the Newcastle-Ottawa Scale (NOS) and the Methodological Quality and Synthesis of Case Series and Case Reports tool. Data statistics and analysis were performed using Stata 15.1 software (StataSE, USA).ResultsSix studies involving 339 patients were included in the analysis. Meta-analysis revealed that Simultaneous Radical Cystectomy and Nephroureterectomy had 2-year and 5-year overall survival rates of 68% (95% CI 60%-76%, I2 = 12.4%, P &lt; 0.001) and 44% (95% CI 36%-53%, I2 = 0, P &lt; 0.001), respectively. The 2-year and 5-year progression-free survival rates were 91% (95% CI 86%-95%, I2 = 95%, P &lt; 0.001) and 65% (95% CI 58%-73%, I2 = 91.5%, P &lt; 0.001), respectively. The 2-year and 5-year cancer-specific survival rates were 73% (95% CI 66%-81%, I2 = 16.7%, P &lt; 0.001) and 57% (95% CI 49%-66%, I2 = 0, P &lt; 0.001), respectively. Additionally, the incidence of minor complications was 19% (95% CI 15%-23%, P &lt; 0.01), major complications was 49% (95% CI 34%-63%, P &lt; 0.01), and the intraoperative blood transfusion rate was 53% (95% CI 44%-61%, P &lt; 0.01).ConclusionsSimultaneous radical cystectomy and nephroureterectomy represent feasible approaches for the treatment of Panurothelial carcinoma. Nonetheless, a comprehensive assessment of the surgical risks and benefits is imperative, and larger-scale prospective cohort studies are required to validate therapeutic efficacy. Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO, identifier CRD42023426401.
Assessing disease activity of rheumatoid arthritis patients and drug-utilization patterns of biologic disease-modifying antirheumatic drugs in the Tuscany region, Italy
Authors: Convertino Irma , Cazzato Massimiliano , Tillati Silvia , Giometto Sabrina , Gini Rosa , Valdiserra Giulia , Cappello Emiliano , Ferraro Sara , Bonaso Marco , Bartolini Claudia , Paoletti Olga , Lorenzoni Valentina , Trieste Leopoldo , Filippi Matteo , Turchetti Giuseppe , Cristofano Michele , Blandizzi Corrado , Mosca Marta , Lucenteforte Ersilia , Tuccori Marco 
Published: September 2023

Introduction: The disease activity associated with the drug-utilization patterns of biologic Disease Modifying Anti-Rheumatic Drugs (DMARDs) is poorly investigated in real-world studies on rheumatoid arthritis (RA) patients. To investigate the relationship between biologic DMARD initiation/discontinuations in RA patients identified in the healthcare administrative databases of Tuscany and the Disease Activity Score 28 (DAS28) reported in the medical charts.Methods: This retrospective population-based study included RA’s first-ever biologic DMARD users of the Pisa University Hospital from 2014 to 2016. Patients were followed up until 31 December 2019. We evaluated the DAS28 recorded before (T0) and after (T1) the biologic DMARD initiation and before (TD0) and after (TD1) discontinuations. Patients were classified as “off-target” (DAS28 &gt; 3.2) or “in-target” (DAS28 ≤ 3.2). We described the disease activity trends at initiation and discontinuation.Results: Ninety-five users were included (73 women, mean age 59.6). Among 70 patients (74%) with at least three DAS28 measures, 28 (40.0%) were off-target at T0 and 38 (54.3%) in-target at T1. Thirty-three (47%) patients had at least one discontinuation, among those with at least three DAS28 assessments. In the disease activity trend, disease stability or improvement was observed in 28 out of 37 (75.7%) patients at initiation and in 24 out of 37 (64.9%) at discontinuation.Discussion: Biologic DMARD discontinuations identified in the healthcare administrative databasese of Tuscany are frequently observed in situations of controlled RA disease. Further studies are warranted to confirm that these events can be used in studies using healthcare administrative databases as proxies of treatment effectiveness.
Marker-assisted enhancement of bacterial blight (Xanthomonas oryzae pv. oryzae) resistance in a salt-tolerant rice variety for sustaining rice production of tropical islands
Authors: Gautam Raj Kumar , Singh Pankaj Kumar , Sakthivel Krishnan , Venkatesan K. , Rao Shyam S. , Srikumar M. , Vijayan Joshitha , Rakesh B. , Ray Soham , Akhtar Jameel , Meena Bharat Raj , Langyan Sapna , Ali Sharik , Krishnamurthy S. L. 
Published: September 2023

IntroductionBacterial blight (BB) caused by Xanthomonas oryzae pv. oryzae is a major disease of rice, specially in the tropical regions of the world. Developing rice varieties with host resistance against the disease is the most effective and economical solution for managing the disease.MethodsPyramiding resistance genes (Xa4, xa5, xa13,and Xa21) in popular rice varieties using marker-assisted backcross breeding (MABB) has been demonstrated as a cost-effective and sustainable approach for establishing durable BB resistance. Here, we report our successful efforts in introgressing four resistance genes (Xa4, xa5, xa13, and Xa21) from IRBB60 to CARI Dhan 5, a popular salt-tolerant variety developed from a somaclonal variant of Pokkali rice, through functional MABB.Results and discussionBoth BB and coastal salinity are among the major challenges for rice production in tropical island and coastal ecosystems. Plants with four, three, and two gene pyramids were generated, which displayed high levels of resistance to the BB pathogen at the BC3F2 stage. Under controlled salinity microplot environments, the line 131-2-175-1223 identified with the presence of three gene pyramid (Xa21+xa13+xa5) displayed notable resistance across locations and years as well as exhibited a salinity tolerance comparable to the recurrent parent, CARI Dhan 5. Among two BB gene combinations (Xa21+xa13), two lines, 17-1-69-334 and 46-3-95-659, demonstrated resistance across locations and years, as well as salt tolerance and grain production comparable to CARI Dhan 5. Besides salinity tolerance, five lines, 17-1-69-179, 46-3-95-655, 131-2-190-1197, 131-2-175-1209, and 131-2-175-1239, exhibited complete resistance to BB disease. Following multilocation testing, potential lines have been identified that can serve as a prospective candidate for producing varieties for the tropical Andaman and Nicobar Islands and other coastal locations, which are prone to BB and coastal salinity stresses.
PRESS survey: PREvention of surgical site infection—a global pan-specialty survey of practice protocol
Authors: Heinz J. , Walshaw J. , Kwan J. Y. , Long J. , Carradice D. , Totty J. , Kontouli K. M. , Lainas P. , Hitchman L. , Smith G. , Huo B. , Guadalajara H. , Garcia-Olmo D. , Sharma D. , Biyani C. S. , Tomlinson J. , Loubani M. , Galli R. , Lathan R. , Chetter I. , Yiasemidou M. 
Published: September 2023

BackgroundSurgical site infections (SSI) complicate up to 40% of surgical procedures, leading to increased patient morbidity and mortality. Previous research identified disparities in SSI prevention guidelines and clinical practices across different institutions. The study aims to identify variations in SSI prevention practices within and between specialties and financial systems and provide a representation of existing SSI preventative measures to help improve the standardization of SSI prevention practices.MethodsThis collaborative cross-sectional survey will be aimed at pan-surgical specialties internationally. The study has been designed and will be reported in line with the CROSS and CHERRIES standards. An international study steering committee will design and internally validate the survey in multiple consensus-based rounds. This will be based on SSI prevention measures outlined in the CDC (2017), WHO (2018), NICE (2019), Wounds UK (2020) and the International Surgical Wound Complications Advisory Panel (ISWCAP) guidelines. The questionnaire will include demographics, SSI surveillance, preoperative, peri-operative and postoperative SSI prevention. Data will be collected on participants' surgical specialty, operative grade, of practice and financial healthcare system of practice. The online survey will be designed and disseminated using QualtricsXM Platform™ through national and international surgical colleges and societies, in addition to social media and snowballing. Data collection will be open for 3 months with reminders, and raking will be used to ascertain the sample. Responses will be analyzed, and the chi-square test used to evaluate the impact of SSI prevention variables on responses.DiscussionCurrent SSI prevention practice in UK Vascular surgery varies considerably, with little consensus on many measures. Given the inconsistency in guidelines on how to prevent SSIs, there is a need for standardization. This survey will investigate the disparity in SSI preventative measures between different surgical fields and countries.
The Potential Utilisation of Artificial Intelligence (AI) in Enterprises
Authors: Leddy Marie , McCreanor Niall 
Published: September 2023

Artificial Intelligence (AI) is a part of computer science that aims to create and develop intelligent machines. For AI to function and perform, it involves the development of algorithms and models that enable computers to learn from the data, identify patterns, and make predictions. Research indicates that AI can increase private industry output, decision-making, and effectiveness. AI can analyse vast amounts of data quickly and precisely, as well as identify patterns and trends (Marr, 2018). This makes AI well-suited for occupations requiring data processing and analysis, such as data entry, analysis, and customer service (Sharma, 2019). AI can also be used to automate processes and tasks (Sharma, 2019). Research implies that AI will impact jobs (WEF, 2018). This may involve providing individuals with training to improve their skills and knowledge to prepare them for occupations involving AI technology, as well as developing regulations and processes to ensure that AI is utilised in a fair, transparent, and accountable manner (WEF, 2018). An evaluation of AI's limitations and to ensure forecasting data is accurate and trustworthy (Marr, 2018). It is also crucial to consider the possibility of bias in AI systems and adopt precautions (WEF, 2018). Furthermore, AI offers many benefits but also presents problems, including the prospect of job loss, the likelihood of bias in AI algorithms, privacy, security, and ethical concerns (WEF, 2018). By identifying how enterprises are utilising AI, what is the impact of implementing AI in enterprise operations, how does it affect the efficiency, productivity, and overall performance of the business. This exploratory research begins with an insight into understanding AI, addresses how AI has been utilised and implemented into businesses, the ethical and societal considerations, and potential benefits and challenges businesses may confront. Ten interviews with leading industry experts using AI, followed by focus groups, have generated information. opinions, and key insights. By utilising the software Nvivo this quantitative research presents key themes and content findings to assist in educating enterprise personnel during AI decision-making and implementation stages.
Advancing Sustainable-Smart Innovations Through a Transdisciplinary Learning Intervention: Insights From The Quintuple Helix Model
Authors: Van den Berg Carolien , Verster Belinda 
Published: September 2023

The urgent need to shape the future of societies necessitates complex collaborative partnerships that co-create sustainable solutions. This whilst maintaining a balance between ecological, economic, and sociocultural concerns. The aforementioned creates complexity, calling for a transdisciplinary focus to circumvent the narrow lenses of disciplinary boundaries to develop new systems for educating young professionals. Within this context, we explore how a transdisciplinary learning intervention can result in sustainable-smart innovations that address real-world community challenges. To engage this question, we draw on findings from a longitudinal Design-Based Research (DBR) study that commenced in February 2020. Two iterations of this study have been completed and the third iteration commenced in 2023. Data is drawn from student project artefacts and reflections. This study utilises the potential of transdisciplinary student projects, between urban planning and information system students, and other stakeholders, to develop sustainable-smart innovations. It focuses on community challenges related to SDG 11 as experienced by marginalised township communities in Cape Town, South Africa. The study is founded on key concepts: Education for Sustainable Development, Transdisciplinary, Digital Social Innovations, Society 5.0, and Inclusive collaborative partnerships. These concepts allow the interrogation of the complexities that reside in wicked problems related to the localisation of SDGs. The introduction of the quintuple helix model during the project's third iteration to analyse the wider contribution from different stakeholders and the shift to Mode 3 knowledge application in innovation is of special value. This model lends itself to transdisciplinary methodologies specifically to merge many voices toward sustainable-smart innovations. The co-creation of sustainable-smart innovations involves unifying various stakeholders from academia, industry, government and the community, to jointly develop and implement sustainable and technology-enabled solutions. The contribution of this paper lies in the expansion of discourse on innovations for sustainability through our engagement with the quintuple helix model in a transdisciplinary learning intervention.
Navigating the New Product Development Process: A Case Study of a Startup’s Journey from Ideation to Commercializatio
Authors: Mendez Andrine , Johnston Kate , McCardle Maeve 
Published: September 2023

New Product Development (NPD) is a critical yet challenging aspect of business development, with failure rates ranging from 40% to 80%. This challenge is particularly pronounced in startups, which form the backbone of most developed economies. Despite their importance, startups often struggle with NPD, with some studies suggesting a failure rate as high as 90%. This research paper contributes to the existing literature by examining the NPD journey of a technology startup, Plugable. Plugable, an Irish enterprise in the mobility sector, aims to create a platform similar to Airbnb for private Electrical Vehicle (EV) chargers. The paper traces the journey of two products the company attempted to launch. The first product did not reach the launch stage, leading the business to revise its strategy and develop Plugable. At the time of writing, Plugable is at the prototype stage, having secured €50,000 in external funding and won several national business awards. The case study provides several key learnings for entrepreneurs in the NPD space. It underscores the importance of accurately defining the problem statement, the critical role of validation, and the significance of assembling the right team to develop an effective go-to-market strategy. These findings contribute to the emerging body of knowledge on NPD within the startup context, providing practical insights into the application of established NPD models. Furthermore, the study offers valuable insights into technology startups' unique challenges during the NPD process.
PEMANFAATAN TEKNOLOGI USB DONGLE SERVER LINUX UNTUK PEMANFAATAN FLEKSIBILITAS IMPLEMENTASI APLIKASI SISTEM INFORMASI
Authors: Affandi Luqman , H Dhebys Suryani 
Published: September 2023

In the construction of a computer software application it takes several stages such as the paths that exist in the Linear Sequential or Waterfall Development Model, prototype, Rapid Application Development (RAD) or other models. One of the stages of these models is that there is a program implementation stage, namely a process of installing an application that is being developed to the server computer or client user so that it can be used. The process of implementing an application must pay attention to the type of application being built, whether the application is desktop, web or mobile based, and each type has a different installation method. This makes it difficult for an application user to implement an application if they do not have sufficient knowledge in the computer field. One way that can be used to realize this is by making a USB dongle in which there are applications, servers, supporting programs and application settings. Program users do not need to install supporting programs and make arrangements. Keywords: USB, Linux, Information Systems
OPTIMASI PENJADWALAN MAINTENANCE KENDARAAN MENGGUNAKAN ALAT GPS TRACKING BERBASIS ANDROID
Authors: Affandi Luqman , Arief Sofyan Noor , Wiryadirja Muhammad Iko 
Published: September 2023

As the primary need for daily transportation, it requires to check vehicle regulary. Vehicle in daily use causes engine performance to decrease. The mile age experience by the vehicle may cause the spare parts warn out. At this time, to arrange schedule for maintenance still recorded manually. It may cause several risk, such as oversight during recorded time for the distance per period. Therefore, it requires help from GPS Tracking to optimize the schedule for maintenance to run effectively. Using the GT06N device with a 5-second data delivery time setting the training data is calculated based on the location of latitude and longitude. While the configuration of the data transmission time is 10 seconds, it has a accuracy of 94.61% in 15 data training. The data transmission rate is greater, the greater the percentage rate of errors. Keyword: GPS Tracking, GT06N, Maintenance Kendaraan, Representational State Transfer (REST)