bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinician Perspectives of Gene Therapy as a Treatment Option for Duchenne Muscular Dystrophy
Authors: Cope Heidi , Fischer Ryan , Heslop Emma , McNiff Megan , Johnson Alexandra , Camino Eric , Denger Brian , Armstrong Niki , Thakrar Sejal , Bateman-House Alison , Beaverson Katherine L. , Woollacott Ione O.C. , Phillips Dawn , Fernandez Vivian , Ganot Annie , Donisa-Dreghici Roxana , Mansfield Carol , Peay Holly 
Published: July 2024

Background: Duchenne muscular dystrophy (DMD) is a progressive, life-limiting, neuromuscular disorder. Clinicians play an important role in informing families about therapy options, including approved gene therapies and clinical trials of unapproved therapies. Objective: This study aimed to understand the perspectives of clinicians about gene therapy for DMD, which has not previously been studied. Methods: We conducted interviews with specialist clinicians treating patients with DMD in the United States ( n = 8) and United Kingdom ( n = 8). Interviews were completed in 2022, before any approved gene therapies, to gain insight into barriers and facilitators to implementing gene therapy and educational needs of clinicians. Results: Most respondents expressed cautious optimism about gene therapy. Responses varied regarding potential benefits with most expecting delayed progression and duration of benefit (1 year to lifelong). Concern about anticipated risks also varied; types of anticipated risks included immunological reactions, liver toxicity, and cardiac or renal dysfunction. Clinicians generally, but not uniformly, understood that gene therapy for DMD would not be curative. Most reported needing demonstrable clinical benefit to justify treatment-related risks. Conclusions: Our data demonstrate variability in knowledge and attitudes about gene therapy among clinicians who follow patients with DMD. As our knowledge base about DMD gene therapy grows, clinician education is vital to ensuring that accurate information is communicated to patients and families.
Moraceae diversity in the Universitas Sumatera Utaraâ€™s arboretum
Authors: Arida Susilowati  , Deni Elfiati  , Ida Mallia Ginting  , Muhammad Irvan Rizmi  
Published: July 2024

The arboretum of the Universitas Sumatera Utara (USU) is an area for collecting and conserving tree species in North Sumatra. One of dominant family found in USU Arboretum is Moraceae.Â The objective of this reserach was to determine Moraceae diversity in the USU Arboretum. The census approach of vegetation analysis was used to determine the identity and abundance of Moracea. The research found 9 (nine) Moraceae species belongs to two genera in the USU arboretum, those were Ficus microcarpa, Ficus elastic, Artocarpus heterophyllus, Ficus padana, Ficus fistulosa, Artocarpus altilis, Ficus benjamina, Ficus ampelas and Ficus hispida. The species with the highest density value (57.92%) is Ficus hispida. The diversity index, richness index, and species dominance index were all quite low in the research location, with values of 1.455, 1.226, and 0.370, respectively. Meanwhile, the species evenness index at the research location is 0.662, which is classified into moderate. To improve the diversity of Moraceae in the USU arboretum, species enrichment activities are needed.
Evaluasi Anggaran dan Realisasi Anggaran Dalam Menilai Kinerja Dinas Kesehatan Pemerintah Kota Bogor
Authors: Rumiasih N. A. , . Ikmayadi 
Published: July 2024

Untuk dapat menyusun Rencana Anggaran Pendapatan Belanja Daerah (RAPBD)berdasarkan anggaran berbasis kinerja (ABK) diperlukan pegawai yang mempunyai kemampuan analisis kinerja program. Tentu saja hal ini merupakan tanggung jawab yangbesar bagi Satuan Kerja Perangkat Daerah (SKPD) selaku pengguna anggaran untuk menyediakan sumberdaya manusia yang memadai, agar dapat mengelola anggaran secara ekonomis, efisien, efektif dan yang benar-benar mencerminkan kepentingan masyarakat.Dalam akuntansi pemerintahan, data akuntansi digunakan untuk memberikan informasi mengenai transaksi ekonomi dan keuangan pemerintah pada pihak eksekutif, legislatif, yudikatif, dan masyarakat.Objek Penelitian adalah Anggaran, Realisasi dan LAKIP Dinas Kesehatan Kota Bogor Tahun Anggaran 2012.Metode penelitian yang digunakan penulis adalah metode deskriptif analisis, suatu metode yang berusaha menganalisis dan memberikan gambaran yang cukup jelas mengenai objek yang diteliti kemudian menarik kesimpulan berdasarkan penelitian yang dilakukan. Untukpengumpulan datanya dilakukan dengan cara observasi, evaluasi dan studi kepustakaan. Tujuan dari penelitian ini adalah untuk mengetahui penentuan besaran anggaran yangdilaksanakan Pemerintah Daerah terhadap Dinas Kesehatan Kota Bogor. Kesimpulan yang dapat diambil dari penelitian ini adalah Penentuan besaran anggaran yang diperolah oleh Dinas Kesehatan Kota Bogor yang dilaksanakan Pemerintah DaerahKota Bogor yaitu dengan menilai kinerja tahun sebelumnya dan khusus untuk Puskesmas ditentukan berdasarkan retribusi yang diterima pada periode sebelumnya. Dan dengananggaran tersebut diharapkan dapat memenuhi semua kebutuhan baik yang bersifat pembangunan fisik maupun pelayanan yang diselenggarakan oleh Dinas Kesehatan kotaBogor. Penulis menyarankan agar Pemerintah dapat dengan bijak dalam menentukan besarananggaran dinas yang sesuai dengan amanat Undang-undang yaitu 20% dari total belanjaAPBD Kota Bogor.
Pengaruh Terapi BagaPule untuk Mengurangi Nyeri Kepala Lansia dengan Hipertensi
Authors: Iskandar Iskandar , Sartika Dewi , Afra Maqfiratul , Elvianda Vriska 
Published: July 2024

Hipertensi merupakan peningkatan tekanan darah dalam arteri. Tanda dan gejala yang muncul dari penyakit hipertensi ini adalah pusing, sakit kepala, tengkuk terasa pegal (nyeri leher), mudah marah, sulit bernafas. Nyeri leher dan sakit kepala dapat menggangu aktivitas sehari-hari penderita hipertensi. Maka perlu dilakukan tindakan segera, salah satu tindakan non farmakologis untuk mengurangi atau mengatasi nyeri tersebut yaitu dengan terapi kompres hangat atau terapi akupressur. Terapi BagaPule suatu kombinasi terapi kompres hangat dengan pijat pada titik gate of consciousness yang istilahnya berasal dari bahasa Aceh “Bagah” dan “Puleh” memiliki makna “cepat sembuh” terhadap rasa nyeri. Penelitian ini bertujuan melihat pengaruh pemberian terapi BagaPule untuk mengurangi nyeri kepala lansia dengan penyakit hipertensi di Lhok Bengkuang Aceh. Desain penelitian ini menggunakan quasi experiment dengan rancangan equivalent control group design. Populasi dalam penelitian ini adalah seluruh lansia yang mengalami hipertensi dan jumlah sampel berjumlah 36 responden dengan teknik probability sampling berjenis simple random sampling. Instrumen menggunakan standar operasional prosedur, tensimeter digital, skala Numeric Ranting Scale dan lembar observasi. Uji statistik menggunakan Wilcoxon test dan Mann Whitney test. Hasil analisis univariat kelompok kontrol menunjukkan tingkat nyeri kepala lansia paling banyak berkategori sedang, yaitu sebanyak 12 responden (48%) dan kelompok intervensi menunjukkan tingkat nyeri kepala lansia paling banyak berkategori sedang, yaitu sebanyak 14 responden (51.9%). Hasil analisis bivariat kelompok kontrol menunjukkan t terdapat pengaruh terapi BagaPule terhadap penurunan nyeri kepala lansia dengan penyakit hipertensi (p value, 0.032). Terapi BagaPule sangat positif untuk menjadi alternatif mengurangi nyeri yang dapat direkomendasikan di bidang kesehatan komplementer sebagai sebuah inovasi.
Arabic translation, cultural adaptation, and pre-testing of neighborhood environment walkability scale for adults-abbreviated (NEWS-A): Arabic NEWS-A
Authors: Al-Hazzaa Hazzaa M. , Almarzooqi Mezna A. , Alsukait Reem F. , AlAhmed Reem S. , Rakic Severin , Cetinkaya Volkan , Evenson Kelly R. , Alqahtani Saleh A. 
Published: July 2024

BackgroundImproving neighborhood walkability is critical for sustainable and livable urban development and is associated with increased physical activity. The Neighborhood Environment Walkability Scale-Abbreviated (NEWS-A) is a tool for assessing neighborhood walkability among adults. Currently, no Arabic version is available for this important walkability scale.ObjectiveTo translate the NEWS-A to Arabic, culturally adapt, and pre-test it for adults.MethodsThe NEWS-A was translated and culturally adapted using Cross-cultural Survey Guidelines and then pre-tested using 65 households selected randomly from the neighborhoods of three districts in Riyadh. After answering the survey, 55 participants took part in a semi-structured cognitive interview, which sought their understanding of the words in the Arabic questionnaire, the clarity of each item, and their suggestions for improvement.ResultsTranslation and adaptation of NEWS-A to Arabic resulted in adding two items (mosque and healthcare center) to section B of the scale (stores, facilities, and other things in your neighborhood) and one related item to section C (access to services). The total individual items became 57 instead of the original 54 items in the English version. Also, we added “ATM machine” to item 14 (Bank/credit union) in section B. In addition, the overall results of the cognitive interview showed that most of the participants understood the intended meaning of the questionnaire (99.5%). Further, 99.8% of the respondents stated that the items were not difficult to comprehend, while 100% of the sample indicated that the sentences were comfortable and not sensitive to them.ConclusionTranslating, adapting, and pre-testing the NEWS-A resulted in retaining all the original items and adding three additional items. The Arabic NEWS-A provides an important tool for future research on neighborhood environment walkability among adults.
Induction of hepatic fibrosis in mice with schistosomiasis by extracellular microRNA-30 derived from Schistosoma japonicum eggs
Authors: Chen Yang , Hu Yuan , Zhou Hao , Jiang Nan , Wang Yiluo , Zhang Jing , Shen Yujuan , Yu Guoying , Cao Jianping 
Published: July 2024

BackgroundSchistosomiasis is a zoonotic parasitic disorder induced by the infestation of schistosomes, a genus of trematodes. MicroRNAs (miRNAs) in egg-derived exosomes are crucial for modulating the host’s immune responses and orchestrating the pathophysiological mechanisms. Although the exosomes secreted by S. japonicum contain abundant miRNAs, the specific roles of these miRNAs in the pathogenesis of schistosomiasis-induced hepatic fibrosis are yet to be comprehensively elucidated. The egg exosomes of S. japonicum secrete miRNA-30, a novel miRNA.MethodsIn vitro, the effect of miRNA-30 was evaluated by transfecting HSCs with miRNA mimics. The target gene biosignature for miRNA-30 was predicted using the miRDB software. The effect of miRNA-30 in hepatic fibrosis was evaluated by either elevating its expression in healthy mice or by inhibiting its activity in infected mice by administration of recombinant adeno-associated virus serotype eight vectors expressing miRNA-30 or miRNA sponges.ResultsThis novel miRNA can activate hepatic stellate cells (HSCs), the prinary effector cells of hepatic fibrosis, in vitro, i.e., it significantly increases the fibrogenic factors Col1(α1), Col3(α1), and α-SMA at both mRNA and protein levels. In addition, miRNA-30 may activate HSCs by targeting the host RORA gene. In addition, in vivo experiments were conducted by administering a recombinant adeno-associated viral vector to modulate the expression levels of miRNA-30. The overexpression of miRNA-30 in healthy mice significantly elevated the expression of Col1(α1), Col3(α1), and α-SMA at both the transcriptomic and proteomic scales. This overexpression was coupled with a pronounced augmentation in the hepatic hydroxyproline content. Conversely, the in vivo silencing of miRNA-30 in infected mice induced a considerable reduction in the size of hepatic granulomas and areas of collagen deposition. Hence, in vivo, modulation of miRNA-30 expression may play a pivotal role in ameliorating the severity of hepatic fibrosis in mice afflicted with S. japonica.ConclusionsThe study results suggest that miRNA-30 may augment schistosomiasis-induced hepatic fibrosis through a probable interaction with the host RORA. Our study may improve the current theoretical framework regarding cross-species regulation by miRNAs of hepatic fibrosis in schistosomiasis.
A scalable and transparent data pipeline for AI-enabled health data ecosystems
Authors: Namli Tuncay , Anıl Sınacı Ali , Gönül Suat , Herguido Cristina Ruiz , Garcia-Canadilla Patricia , Muñoz Adriana Modrego , Esteve Arnau Valls , Ertürkmen Gökçe Banu Laleci 
Published: July 2024

IntroductionTransparency and traceability are essential for establishing trustworthy artificial intelligence (AI). The lack of transparency in the data preparation process is a significant obstacle in developing reliable AI systems which can lead to issues related to reproducibility, debugging AI models, bias and fairness, and compliance and regulation. We introduce a formal data preparation pipeline specification to improve upon the manual and error-prone data extraction processes used in AI and data analytics applications, with a focus on traceability.MethodsWe propose a declarative language to define the extraction of AI-ready datasets from health data adhering to a common data model, particularly those conforming to HL7 Fast Healthcare Interoperability Resources (FHIR). We utilize the FHIR profiling to develop a common data model tailored to an AI use case to enable the explicit declaration of the needed information such as phenotype and AI feature definitions. In our pipeline model, we convert complex, high-dimensional electronic health records data represented with irregular time series sampling to a flat structure by defining a target population, feature groups and final datasets. Our design considers the requirements of various AI use cases from different projects which lead to implementation of many feature types exhibiting intricate temporal relations.ResultsWe implement a scalable and high-performant feature repository to execute the data preparation pipeline definitions. This software not only ensures reliable, fault-tolerant distributed processing to produce AI-ready datasets and their metadata including many statistics alongside, but also serve as a pluggable component of a decision support application based on a trained AI model during online prediction to automatically prepare feature values of individual entities. We deployed and tested the proposed methodology and the implementation in three different research projects. We present the developed FHIR profiles as a common data model, feature group definitions and feature definitions within a data preparation pipeline while training an AI model for “predicting complications after cardiac surgeries”.DiscussionThrough the implementation across various pilot use cases, it has been demonstrated that our framework possesses the necessary breadth and flexibility to define a diverse array of features, each tailored to specific temporal and contextual criteria.
Ketoconazole induces reversible antifungal drug tolerance mediated by trisomy of chromosome R in Candida albicans
Authors: Zheng Lijun , Xu Yi , Wang Chen , Guo Liangsheng 
Published: July 2024

BackgroundThe emergence of tolerance to antifungal agents in Candida albicans complicates the treatment of fungal infections. Understanding the mechanisms underlying this tolerance is crucial for developing effective therapeutic strategies.ObjectiveThis study aims to elucidate the genetic and molecular basis of ketoconazole tolerance in C. albicans, focusing on the roles of chromosomal aneuploidy, Hsp90, and calcineurin.MethodsThe wild-type C. albicans strain SC5314 was exposed to increasing concentrations of ketoconazole (0.015–32 μg/mL) to select for tolerant adaptors. Disk diffusion and spot assays were used to assess tolerance. Whole-genome sequencing identified chromosomal changes in the adaptors. The roles of Hsp90 and calcineurin in maintaining and developing ketoconazole tolerance were investigated using specific inhibitors and knockout strains.ResultsAdaptors exhibited tolerance to ketoconazole concentrations up to 16 μg/mL, a significant increase from the parent strain’s inhibition at 0.015 μg/mL. All tolerant adaptors showed amplification of chromosome R, with 29 adaptors having trisomy and one having tetrasomy. This aneuploidy was unstable, reverting to euploidy and losing tolerance in drug-free conditions. Both Hsp90 and calcineurin were essential for maintaining and developing ketoconazole tolerance. Inhibition of these proteins resulted in loss of tolerance. The efflux gene CDR1 was not required for the development of tolerance. Chromosome R trisomy and tetrasomy induce cross-tolerance to other azole antifungal agents, including clotrimazole and miconazole, but not to other antifungal classes, such as echinocandins and pyrimidines, exemplified by caspofungin and 5-flucytosine.ConclusionKetoconazole tolerance in C. albicans is mediated by chromosomal aneuploidy, specifically chromosome R amplification, and requires Hsp90 and calcineurin. These findings highlight potential targets for therapeutic intervention to combat antifungal tolerance and improve treatment outcomes.
Clinical implementation, barriers, and unmet needs of rTMS and neuro-navigation systems in stroke rehabilitation: a nationwide survey in South Korea
Authors: Yu Ga Hui , Park Chulmin , Jeong Myeong Geun , Jung Gun Seo , Kim Kyoung Tae 
Published: July 2024

ObjectiveThe objective of this study was to determine the implementation, clinical barriers, and unmet needs of repetitive transcranial magnetic stimulation (rTMS) and neuro-navigation systems for stroke rehabilitation.DesignWe employed a nationwide survey via Google Forms (web and mobile) consisting of 36 questions across rTMS and neuro-navigation systems, focusing on their implementation, perceptions, and unmet needs in stroke recovery. The survey targeted physiatrists registered in the Korean Society for Neuro-rehabilitation and in rehabilitation hospitals in South Korea.ResultsOf 1,129 surveys distributed, 122 responses were analyzed. Most respondents acknowledged the effectiveness of rTMS in treating post-stroke impairments; however, they highlighted significant unmet needs in standardized treatment protocols, guidelines, education, device usability, and insurance coverage. Unmet needs for neuro-navigation were also identified; only 7.4% of respondents currently used such systems, despite acknowledging their potential to enhance treatment accuracy. Seventy percent of respondents identified lack of prescription coverage, time and errors in preparation, and device cost as barriers to clinical adoption of neuro-navigation systems.ConclusionDespite recognition of the potential of rTMS in stroke rehabilitation, there is a considerable gap between research evidence and clinical practice. Addressing these challenges, establishing standardized protocols, and advancing accessible neuro-navigation systems could significantly enhance the clinical application of rTMS, offering a more personalized, effective treatment modality for stroke recovery.
An epilepsy classification based on FFT and fully convolutional neural network nested LSTM
Authors: Nie Jianhao , Shu Huazhong , Wu Fuzhi 
Published: July 2024

Background and objectiveEpilepsy, which is associated with neuronal damage and functional decline, typically presents patients with numerous challenges in their daily lives. An early diagnosis plays a crucial role in managing the condition and alleviating the patients’ suffering. Electroencephalogram (EEG)-based approaches are commonly employed for diagnosing epilepsy due to their effectiveness and non-invasiveness. In this study, a classification method is proposed that use fast Fourier Transform (FFT) extraction in conjunction with convolutional neural networks (CNN) and long short-term memory (LSTM) models.MethodsMost methods use traditional frameworks to classify epilepsy, we propose a new approach to this problem by extracting features from the source data and then feeding them into a network for training and recognition. It preprocesses the source data into training and validation data and then uses CNN and LSTM to classify the style of the data.ResultsUpon analyzing a public test dataset, the top-performing features in the fully CNN nested LSTM model for epilepsy classification are FFT features among three types of features. Notably, all conducted experiments yielded high accuracy rates, with values exceeding 96% for accuracy, 93% for sensitivity, and 96% for specificity. These results are further benchmarked against current methodologies, showcasing consistent and robust performance across all trials. Our approach consistently achieves an accuracy rate surpassing 97.00%, with values ranging from 97.95 to 99.83% in individual experiments. Particularly noteworthy is the superior accuracy of our method in the AB versus (vs.) CDE comparison, registering at 99.06%.ConclusionOur method exhibits precise classification abilities distinguishing between epileptic and non-epileptic individuals, irrespective of whether the participant’s eyes are closed or open. Furthermore, our technique shows remarkable performance in effectively categorizing epilepsy type, distinguishing between epileptic ictal and interictal states versus non-epileptic conditions. An inherent advantage of our automated classification approach is its capability to disregard EEG data acquired during states of eye closure or eye-opening. Such innovation holds promise for real-world applications, potentially aiding medical professionals in diagnosing epilepsy more efficiently.
A scientometrics analysis and visualization of refractory gastroesophageal reflux disease
Authors: Zhang Nan , Han Ming , Zheng Qin-Wei , Zhang Meng-Yuan , Zhi Wen-Lan , Li Jing-Jing , Cui Lin-Xuan , Tian Jin-Li , Wang Yi , Fang Sheng-Quan 
Published: July 2024

BackgroundRefractory gastroesophageal reflux disease (refractory GERD) is a heterogeneous disease characterized by unresponsiveness or poor efficacy to proton-pump inhibitors (PPIs). This chronic disorder substantially weakens patients’ mental wellbeing and quality of life, increasing the financial burden on society. Multiple articles have been reported in this area. However, literature involving scientometric analysis of refractory GERD is absent. Therefore, it is necessary to understand the evolution of research themes and the main hotspots of refractory GERD through bibliometric methods.MethodsAll documents related to refractory GERD based on the WOS Core Collection from January 2000 to November 2023 were selected for analysis. Citespace V 6.1 R6, VOSviewer V 1.6.20, and Scimago Graphica V 1.0.38 were used to perform bibliometric analysis.ResultsWe collected a total of 241 research articles from 36 countries and 322 institutions, contributed by over 1,000 authors. Over the last 20 years, the number of articles in this field has increased year by year, and since 2011, the number of publications has increased dramatically, with 85.89% of the papers. These countries are led by the United States and Japan. GUT had the highest number of citations and DIGESTION had the highest number of publications. Research on standardized diagnosis and management, mechanisms, novel monitoring methods, and innovative drugs and procedures for refractory GERD are the main topics and hotspots in this field. This study also found that neuroimmune interaction is closely related to refractory GERD, which may be a new direction for future mechanism research.ConclusionOur study is the first bibliometric analysis of the global literature on refractory GERD. This research provides valuable insights for researchers, enabling them to quickly understand the research frontier and hot topics of this field.