bluuebunny/crossref_metadata_2025_split huggingface dataset:
Desargues Cloud TPS : A Cloud-based Automatic Radiation Treatment Planning System for IMRT
Authors: Guo Jian , Qin Songbing , Guo Chenlei , Zhu Meng , Zhou Yin , Wang He , Xu Xiaoting , Zhan Wei , Chen Long , Ni Jie , Tang Yu , Chen Jun , Shen Yi , Chen Haibo , Men Kuo , Liu Hui , Pan Yuning , Ye Jin , Huan Jian , Zhou Juying 
Published: February 2025

Abstract

Purpose
To develop a cloud-based automated treatment planning system for intensity-modulated radiation therapy and evaluate its efficacy and safety for tumors in various anatomical sites under general clinical scenarios.
Results
All the plans from both groups satisfy the PTV prescription dose coverage requirement of at least 95% of the PTV volume. The mean HI of plan A group and plan group is 0.84 and 0.81 respectively, with no statistically significant difference from those of plan C group.The mean CI, PQM, OOT and POT are 0.806, 77.55. 410 s and 185 s for plan A group, and 0.841, 76.87, 515.1 s and 271.1 s for plan B group, which were significantly superior than those of plan C group except for the CI of plan A group. There is no statistically significant difference between the dose accuracies of plan B and plan C groups.
Conclusion
It is concluded that the overall efficacy and safty of the Desargues Cloud TPS are not significantly different to those of Varian Eclipse, while some efficacy indicators of plans generated from automatic planning without or with manual adjustments are even significantly superior to those of fully manual plans from Eclipse. The cloud-based automatic treatment planning additionally increase the efficiency of treatment planning process and facilitate the sharing of planning knowledge.
Materials and methods
The cloud-based automatic radiation treatment planning system, Desargues Cloud TPS, was designed and developed based on browser/server mode, where all the computing intensive functions were deployed on the server and user interfaces were implemented on the web. The communication between the browser and the server was through the local area network (LAN) of a radiotherapy institution. The automatic treatment planning module adopted a hybrid of both knowledge-based planning (KBP) and protocol-based automatic iterative optimization (PB-AIO), consisting of three steps: beam angle optimization (BAO), beam fluence optimization (BFO) and machine parameter optimization (MPO). 53 patients from two institutions have been enrolled in a multi-center self-controlled clinical validation. For each patient, three IMRT plans was designed. The plan A and B were designed on Desargues Cloud TPS using automatic planning without and with manual adjustments respectively. The plan C was designed on Varian Eclipse TPS using fully manual planning. The efficacy indicators were heterogeneous index, conformity index, plan quality metric, overall operation time and plan optimization time. The safety indicators were gamma indices of dose verification.
New candidate gene mutation in astrocytoma with seizures
Authors: Choochuen Pongsakorn , Khongcharoen Natthapon , Sangkhathat Surasak , Kaewborisutsakul Anukoon , Tunthanathip Thara , Phabphal Kanitpong 
Published: February 2025

Abstract

Patients with astrocytomas frequently experience seizures. Patients with glioma who had preoperative epilepsy had significantly longer survival than those without seizures. However, the preoperative risk factors for seizures remain unclear. Moreover, previous studies have suggested that tumor genomics, rather than tumor location, mass effect, or tumor volume, plays a critical role in seizures in glioma. This study aimed to investigate the somatic genomic landscape of astrocytomas and its association with seizure occurrence. Baseline clinical characteristics, including MRI findings, did not differ between patients with astrocytoma presenting with or without seizures. Analysis of exome sequences from 40 samples revealed 22,891 single-nucleotide variants and 1,801 insertions or deletions. The top five cancer-related genes identified in our cohort were TP53, IDH1, ATRX, NOTCH1, and EGFR, detected in 48%, 28%, 25%, 25%, and 25% of cases, respectively. The top five most common driver genes were MUC16, TP53, MUC4, HLA-A, and IDH1. Seizure events in patients with astrocytoma were significantly associated with variants in nine genes. We identified two novel mutated genes, GSTT4 and CELSR1, that were significantly more prevalent in the seizure group. Future research should expand the cohort and conduct a functional analysis of GSTT4 and CELSR1 to identify new treatment targets and provide additional evidence to guide clinical decision-making.
Proinflammatory macrophage-derived medium enhances temozolomide sensitivity in glioblastoma via pSTAT3-mediated downregulation of DNA repair enzymes
Authors: López-López Susana , Castro-Robles Beatriz , Díaz‐Guerra María José M. , Arias-Salazar Lourdes , Sandoval Hernán , García-Pérez Daniel , Klein-Zampaña Christoph J. , Barbella-Aponte Rosa A , Segura Tomás , Serrano-Heras Gemma 
Published: February 2025

Abstract

Chemoresistance to temozolomide (TMZ), the main agent in glioblastoma (GBM) treatment, negatively impacts prognosis due to efficient repair of TMZ-induced DNA lesions. Reduced expression of the DNA repair enzyme O6-methylguanine DNA-methyltransferase (MGMT) has been associated with improved chemotherapy response, though not consistently across patients. Our previous findings suggested that N-methylpurine-DNA-glycosylase (MPG), which repairs the most common TMZ-induced DNA adducts, would be implicated in glioblastoma resistance to TMZ, but its role in chemoresistance remains unclear. Tumor-associated macrophages (TAMs), a key component of the GBM microenvironment, impair chemotherapy efficacy, though mechanisms by which they contribute to drug resistance are not well defined. This study shows that reducing MPG expression with specific siRNAs sensitizes tumor cells to TMZ, and this effect is potentiated by simultaneously downregulating both MPG and MGMT. We also provide the first evidence that conditioned medium from proinflammatory macrophages (CM-M1), by suppressing STAT3 phosphorylation, reduces repair enzyme expression in glioblastoma cells, enhancing TMZ cytotoxicity. Molecular analysis of tumor samples from glioblastoma patients confirmed an association between high repair enzyme expression and STAT3 activation. Our findings uncover a novel mechanism by which TAMs contribute to chemoresistance, supporting strategies to reprogram TAMs towards an M1-phenotype to improve TMZ efficacy in GBM treatment.
Comparison between old and new imaging modalities in the presurgical evaluation of children with intractable epilepsy
Authors: Shaheen Yara , Ibrahim Bassant , Elnaggar Walaa , Elantably Ismail , Morsi Ahmed , Baghdadi Michael , Rizkallah Mina , Elhabashy Hala , Girgis Marian 
Published: February 2025

Abstract

Background: Drug-resistant epilepsy is characterized by the failure of adequate trials of two well selected anti-seizure drugs with tolerable side effects. Surgical intervention is often performed to mitigate or stop seizures. Different imaging techniques are used to evaluate those patients presurgically. Herein, we aimed to describe the correlation between seizure semiology, long term video-EEG and neuro-imaging modalities including high resolution three-dimensional structural brain MRI, ASL perfusion, brain volumetric analysis, and FDG-PET scans throughout the presurgical assessment of focal drug-resistant epilepsy patients.
Methodology: Here, 30 patients fulfilled the inclusion criteria were included from our pediatric neurology clinic in a period from November 2021 till May 2023. History taking, full examination, 6–24-h long-term Video EEG recording (including ictal and inter-ictal recordings) and multiple neuro-imaging modalities were obtained from all patients. Thirty patients underwent structural MRI brain imaging, 27 patients underwent volumetry studies and 28 patients underwent magnetic resonance arterial spin labeling sequence. PET was done when no proper localization of seizures occurred (n=10).
Results: Our multimodal methodology indicated that among patients with focal DRE, temporal lobe epilepsy was the prevailing, impacting 12 patients (40%), followed by frontal lobe epilepsy, impacting 9 patients (30%). There was concordance between Ictal EEG and Inter-ictal EEG regarding the affected side, and the affected lobe. We also found concordance between structural MRI and ASL regarding the affected side and the affected lobe. In addition to between ASL, ictal EEG and PET scan.
Conclusion: Focal DRE patients necessitate meticulous multi-disciplinary assessment through detailed seizure semiology analysis, adequate long-term video EEG monitoring, and thorough neuro-imaging including already established techniques such as structural MRI and 18f-FDG PET brain scans and also new emerging techniques such as ASL and automated brain volumetry. Given the benefits of those new techniques regarding image quality, elevated accessibility, and the elimination of intravenous contrast agents, they are optimally suited for pediatric neuro-imaging during the pre-surgical evaluation of focal DRE.
Effect of Simulation-based Perioperative Education on the Acquisition of Self-Competence and Knowledge among Undergraduate Student Nurses: A Randomised Control Study
Authors: Bwanali Richard K. , Msiska Gladys , Urstad Kristin H. , Bø Bodil , Chimwaza Angela 
Published: February 2025

Abstract

Background
Perioperative nurses need a considerable amount of competencies in surgical processes, anaesthesia, medical and surgical conditions, and the technological advancements that are necessary for managing patients. However, in Malawi, lack of access to specialised training and poor learning conditions in hospitals compromise the ability of student nurses to acquire the required competencies, highlighting a need for innovations in the teaching and learning of perioperative nursing. Studies have demonstrated that simulation offers many advantages as a teaching strategy. Currently, there is limited evidence to support the use of simulation in Malawian undergraduate student nurses. Therefore, this study aimed at assessing the effect of simulation-based perioperative nursing education among undergraduate student nurses.
Methods
This study utilised a test‒retest randomised control trial to assess the effect of simulation-based education on the acquisition of self-competence and knowledge. The study utilised an adapted Malawian student version of the Perceived Perioperative Competence Scale-Revised for self-competence and a knowledge test to assess the gain in knowledge. The study simulated the implementation of the World Health Organisation’s Surgical Safety Checklist (WHO SSCL) on a hernia repair simulated scenario with a total of 52 student nurses.
Results
The findings of this study showed that the simulation of the WHO SSCL significantly improved self-competence and knowledge acquisition.
Conclusion
The findings of this study suggest that student nurses can increase their self-competence and acquire new knowledge by participating in the WHO SSCL simulation. Additionally, using the WHO SSCL-based simulation could enhance knowledge of the checklist itself and promote its use.
A Comprehensive Systematic Review of Sepsis Burden and Healthcare Challenges in Ethiopia
Authors: Hurissa Zewdu 
Published: February 2025

Abstract

Introduction Sepsis remains a significant global health challenge, particularly in low-resource settings like Ethiopia, where healthcare systems are often under-resourced and overburdened. This systematic review aimed to synthesize the available evidence on the burden, risk factors, and healthcare challenges of sepsis in Ethiopia. By consolidating existing data, the review seeks to inform policymakers, healthcare providers, and researchers about the current state of sepsis care and to guide future interventions aimed at reducing its impact.Methods A comprehensive search was conducted across multiple databases, including PubMed, MEDLINE, Embase, Scopus, Web of Science, Cochrane Library, and African Journals Online (AJOL). Grey literature sources, such as government reports and conference proceedings, were also included. The search strategy combined keywords related to sepsis, Ethiopia, burden, and healthcare challenges using Boolean operators. Studies were included if they focused on sepsis epidemiology, risk factors, or healthcare challenges in Ethiopia and were published in English. The methodological quality of included studies was assessed using standardized tools, and data were synthesized narratively due to the heterogeneity of the studies.Results A total of 50 studies were included in the qualitative synthesis. The review found that sepsis is a leading cause of morbidity and mortality in Ethiopia, with high prevalence rates in intensive care units (ICUs) and neonatal wards. Key risk factors included poverty, malnutrition, infectious diseases (e.g., pneumonia, malaria, HIV/AIDS), and delays in seeking care. Healthcare challenges included limited diagnostic capabilities, inadequate treatment resources, and a shortage of trained healthcare personnel. Despite these challenges, interventions such as healthcare worker training and improved access to essential medicines showed promise in reducing sepsis mortality. However, the review also identified significant gaps in the literature, including a lack of nationwide data and limited research on long-term outcomes.Conclusion This systematic review highlights the high burden of sepsis in Ethiopia and the significant healthcare challenges associated with its management. The findings underscore the need for high-quality, nationwide studies to address the gaps identified and to inform evidence-based interventions. Strengthening healthcare systems, improving access to diagnostics and treatments, and implementing targeted public health interventions are critical to reducing the impact of sepsis in Ethiopia. Future research should focus on long-term outcomes, cost-effective interventions, and the scalability of existing programs in resource-limited settings.
Simulating the discharge of Nahavand karstic springs based on neural intelligent models
Authors: Fasihi Rojin , Taheri Tizro Abdollah , Marofi Safar 
Published: February 2025

ABSTRACT

In this research, the discharge of five karstic springs, which are located in the Nahavand Plain of west of Iran, were simulated. The monthly discharge data for the years 1994–2020 were obtained. Three intelligent models, ANN, PCA-ANN, and CANFIS, were used to simulate the relevant data. In the present study, hydraulic parameters such as porosity, hydraulic conductivity, and specific yield were measured by frequent field visits and precipitation data of five meteorological stations and elevations were used as input data. The three intelligent models used are based on the error measurement indicators. Based on the analysis of results, the CANFIS model with TSK structure. Bearing the highest accuracy, MBE = −1.3 (l/s) and the highest value correlation coefficient (0.654) with nRMSE equal to 9.4% were preferred as the best intelligent model for simulating the discharge of these springs. The maximum average percentage of the simulated discharge increases compared with the value observed in the test phase. This was observed for May in the period of 27 years, which has a value of 24.20%. The lowest fluctuation percentage was observed, with a value of −24.61% for December. It is concluded that the hydraulic parameters preferred instead of spring discharge lag-time for simulation.
Gestão estratégica e gestão social
Authors: Bazanini Roberto , Marques Leylah , Machado Junior Celso , Margueiro Everton Aristides 
Published: February 2025

O presente artigo tem como principal objetivo realizar uma análise comparativa referente as boas práticas decorrentes da interação entre a gestão estratégica e a gestão social em duas organizações sem fins lucrativos voltadas para atendimento dos refugiados. Por intermédio de pesquisa exploratório-descritiva, de natureza qualitativa, o problema central da pesquisa está em encontrar respostas para a questão: como a interatividade entre a gestão estratégica e a gestão social contribui para caracterizar as boas práticas do setor? Inicialmente, a coleta de dados foi realizada por intermédio de pesquisa bibliográfica e documental e, posteriormente, a pesquisa de campo pelo emprego de entrevistas semiestruturadas com os principais agentes envolvidos no empreendimento. Os resultados apontam que nas boas práticas das entidades do terceiro setor analisadas, em ambas, são adotados princípios comuns da gestão social (acolhimento, proteção, promoção e integração), enquanto os princípios da gestão estratégica estão consolidados apenas na organização de maior porte, na organização de menor porte predomina a visão empírica sem o estabelecimento de procedimentos administrativos formais. Os principais obstáculos encontrados foram processos burocratizados, despreparo e falta de estrutura para um atendimento humanizado e pouco conhecimento sobre interculturalidade, dos responsáveis pelas políticas públicas. A contribuição da pesquisa está na constatação de que, apesar da pertinência da interação entre a gestão estratégica e a gestão social, as boas práticas nas organizações sem fins lucrativos operam baseadas fundamentalmente na gestão social, na qual o alinhamento ideológico se torna um dos principais pilares para o engajamento dos envolvidos.
PENETAPAN PARAMETER SPESIFIK, NON-SPESIFIK, PENETAPAN KADAR FLAVONOID TOTAL, FENOLIK TOTAL EKSTRAK ASETON DAUN PANDAN WANGI (Pandanus amarillyfolius Roxb) DENGAN METODE SPEKTROFOTOMETRI UV-VIS DAN KROMATOGRAFI LAPIS TIPIS
Authors: Desi Sundari 
Published: February 2025

Daun pandan wangi (<em>Pandanus amaryllifolius</em>) merupakan salah satu obat tradisional yang termasuk dalam genus pandanus dari suku Pandanaceae. Daun pandan memiliki manfaat yang berupa , menghitamkan rambut, menghilangkan ketombe, mengatasi rambut rontok, lemah saraf, tidak nafsu makan, rematik, sakit disertai gelisah, serta mengatasi pegal linu. Tujuan dari penelitian ini untuk melakukan ekstraksi, fraksinasi, dan standarisasi parameter spesifik dan non- spesifik ekstrak aseton dari Daun pandan wangi, melakukan skrining fitokimia dan identifikasi dengan kromatografi lapis tipis, dan serta untuk menetahui kadar fenolik dan flavonoid total. Hasil uji parameter spesifik ekstrak aseton Daun pandan wangi berupa ekstrak kering, dangan warna hijau kecoklatan, berbau khas ekstrak, dan memiliki rasa yang pahit. Hasil Ekstrak aseton Daun pandan wangi memiliki kadar senyawa larut air 0,018% dan etanol 0,004%. Hasil skrining fitokimia menunjukan ekstrak daun pandan wangi positif mengandung saponin, flavonoid, dan polifenol. Hasil kromatografi lapis tipis yang diamati dibawah sinar UV 254nm didapatkan hasil nilai RF 0,9375. Hasil uji parameter non-spesifik menunjukan susut pengeringan sebesar 1,52%, hasil bobot jenis 1,398 gr/ml, kadar abu 3,01% dan kadar abu tidak larut asam 0,108%. Hasil penetapan kadar flavonoid total dan penetapan kadar fenolik total.
Exploring Metadata Catalogs in Health Care Data Ecosystems: Taxonomy Development Study
Authors: Scheider Simon , Mallick Mostafa Kamal 
Published: February 2025

Background
In the European health care industry, recent years have seen increasing investments in data ecosystems to “FAIRify” and capitalize the ever-rising amount of health data. Within such networks, health metadata catalogs (HMDCs) assume a key function as they enable data allocation, sharing, and use practices. By design, HMDCs orchestrate health information for the purpose of findability, accessibility, interoperability, and reusability (FAIR). However, despite various European initiatives pushing health care data ecosystems forward, actionable design knowledge about HMDCs is scarce. This impedes both their effective development in practice and their scientific exploration, causing huge unused innovation potential of health data.

Objective
This study aims to explore the structural design elements of HMDCs, classifying them alongside empirically reasonable dimensions and characteristics. In doing so, the development of HMDCs in practice is facilitated while also closing a crucial gap in theory (ie, the literature about actionable HMDC design knowledge).

Methods
We applied a rigorous methodology for taxonomy building following well-known and established guidelines from the domain of information systems. Within this methodological framework, inductive and deductive research methods were applied to iteratively design and evaluate the evolving set of HMDC dimensions and characteristics. Specifically, a systematic literature review was conducted to identify and analyze 38 articles, while a multicase study was conducted to examine 17 HMDCs from practice. These findings were evaluated and refined in 2 extensive focus group sessions by 7 interdisciplinary experts with deep knowledge about HMDCs.

Results
The artifact generated by the study is an iteratively conceptualized and empirically grounded taxonomy with elaborate explanations. It proposes 20 dimensions encompassing 101 characteristics alongside which FAIR HMDCs can be structured and classified. The taxonomy describes basic design characteristics that need to be considered to implement FAIR HMDCs effectively. A major finding was that a particular focus in developing HMDCs is on the design of their published dataset offerings (ie, their metadata assets) as well as on data security and governance. The taxonomy is evaluated against the background of 4 use cases, which were cocreated with experts. These illustrative scenarios add depth and context to the taxonomy as they underline its relevance and applicability in real-world settings.

Conclusions
The findings contribute fundamental, yet actionable, design knowledge for building HMDCs in European health care data ecosystems. They provide guidance for health care practitioners, while allowing both scientists and policy makers to navigate through this evolving research field and anchor their work. Therefore, this study closes the research gap outlined earlier, which has prevailed in theory and practice.
Kepastian Hukum Penerapan Aplikasi Sistem Informasi Kearsipan Dinamis Terintegrasi (SRIKANDI)
Authors: Ramudin Riko Priyatmo , Ramli Ahmad M , Rosmana Hilman 
Published: February 2025

Based on the Presidential Regulation on Electronic Government, the Srikandi application (Integrated Records Information System) is part of the General Application for government administration services applied nationally. After three years of implementation, in 2023 the application of Srikandi in Government Institutions (Central and Regional) is not yet optimal. Despite the target that by 2023, all Central Institutions will have implemented Srikandi, and by 2024, all Governments will have implemented Srikandi. The Srikandi application is subject to several regulations, one of which is Law Number 43 of 2009 concerning Archives that has previously regulated matters related to the electronic archival field. Some norms in the Presidential Regulation on SPBE are not harmonious with Law Number 43 of 2009 concerning Archives, especially regarding the substance of archive management, the authority of the National Archives of Indonesia, and the mandate for Srikandi application users. The research method used is Normative Juridical. The research analysis places norms, principles, and legal principles as a study, especially regarding SPBE regulations in the archival services field. The research results show that the mandate of Presidential Regulation Number 95 of 2018 regarding the Electronic Government is not in line with Law Number 43 of 2009 concerning Archives. This is related to norms that regulate the substance of archive management, the authority of archival management, and the users of the Srikandi application. Thus, this creates uncertainty in the implementation of the Srikandi application as a general SPBE application.