bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pelatihan Pembuatan Peta Resiko Bencana Berbasis ArcGIS di Desa Kopang Rembiga Lombok Tengah
Authors: Muslimin Muslimin , Rifaid Rifaid , Arrahman Rudi , Haspiadi Muhromi , Ilmiyardhi Maulana , Hidayatullah Muhammad Firman , Pratando Andri 
Published: September 2024

Desa Kopang Rembiga memiliki kerentanan yang tinggi pada bencana alam, seperti Banjir, Gempa Bumi dan Angin Puting Bliung. Terakhir pada13 Maret 2024 angin Puting Beliung menghantam Desa Kopang dan menyebabkan sekitar 27 rumah rusak berat (Antara, 2024. Sebelummnya pada tahun 2019 juga bencana angin puting bliung pernah terjadi Kopang Rembiga. Kegiatan pengabdian ini dilakukan bertujuan untuk melakukan pelatihan Pembuatan Peta Resiko Bencana Berbasis ArcGIS di Desa Kopang Rembiga Lombok Tengah. Hasil pelatihan Pembuatan Peta Resiko Bencana Berbasis ArcGIS, dalam pembuatan peta resiko bencana dapat disimpulkan bahwa kegiatan ini memberikan dampak yaitu adanya peta resiko bencana Desa kopang rembige Lombok tengah yang dihasilkan sangat informatif sehingga memudahkan masyarakat dalam menggunakan peta resiko bencana secara mandiri untuk menemukan lokasi dan titik rawan bencana dengan mudah. Saran yang dapat penulis rekomendasikan untuk masyarakat dalam hal ini, sangat penting bagi masyarakat untuk mengupdate di setiap tahunnya untuk mengetahui perluasan titik resiko rawan bencana.
Pengaruh model pembelajaran teams games tournament (TGT) berbasis wordwall terhadap kemampuan literasi matematika dan motivasi belajar siswa SMA pada materi program linier
Authors: Moniy Yulita Ristandri , Hamid Hasan , Noviyanti Mery 
Published: September 2024

Penelitian ini merupakan penelitian eksperimen yang bertujuan : 1) mengetahui pengaruh penerapan model pembelajaran teams games tournament (TGT) berbasis wordwall terhadap kemampuan literasi matematika siswa, 2) mengetahui pengaruh penerapan model pembelajaran TGT berbasis wordwall terhadap motivasi belajar siswa, dan 3) mengetahui perbedaan pengaruh penerapan model pembelajaran TGT berbasis wordwall terhadap peningkatan kemampuan literasi matematika dan motivasi belajar siswa dalam pembelajaran matematika. Penelitian ini merupakan jenis penelitian kuantitatif dengan metode eksperimen menggunakan pre-test and post-test with non-equivalent control group design dengan sampel sebanyak 40 siswa kelas XI MAN Insan Cendekia Halmahera Barat yang dipilih secara purposive sampling terdiri dari kelas eksperimen dan Kontrol. Teknik pengumpulan data dengan instrumen: tes kemampuan literasi matematika dan angket motivasi belajar yang dianalisis dengan bantuan SPSS 20 for windows untuk melihat peningkatan dan perbedaan skor N-Gain menggunakan uji-t (paired sample-test). Hasil penelitian ini menunjukkan (1) terdapat pengaruh model pembelajaran TGT berbasis wordwall terhadap peningkatan kemampuan literasi matematika siswa, (2) terdapat pengaruh model pembelajaran TGT berbasis wordwall terhadap peningkatan eemotivasi belajar siswa, (3) terdapat perbedaan pengaruh penerapan model pembelajaran TGT berbasis wordwall terhadap peningkatan kemampuan literasi matematika dan motivasi belajar siswa. Kata kunci : Teams games tournament, kemampuan literasi matematika, motivasi belajar
Vaginal microbiota of pregnant women with Ureaplasma urealyticum and Mycoplasma hominis infections
Authors: Oh Kwan Young , Lee Sunghee , Park Jaewan , Park Mi Hye , Jeong Ji Hun , Yang Jung Bo , Lim Chul Kwon , Ha Joong Gyu , Yang Yun Seok 
Published: September 2024

BackgroundThe association between preterm birth and Mycoplasma species such as Mycoplasma hominis and Ureaplasma urealyticum has been extensively investigated. In a clinical setting, conventional diagnostic methods for them involve culture methods for Mycoplasma spp. and Ureaplasma spp., along with PCR tests. However, the clinical utility of these tests remains controversial, highlighting the necessity for more robust and reliable methods for identifying and understanding Mycoplasma infections.ObjectiveThis study aimed to assess the distribution of microbiota in pregnant women with Mycoplasma hominis and Ureaplasma urealyticum infection by the comparison of conventional diagnostic methods with vaginal microbial community analysis.Study DesignThis prospective case–control study involved 228 Korean pregnant women and utilized vaginal microbial community analysis, Ureaplasma/Mycoplasma culture, and 12-multiplex PCR for sexually transmitted diseases. Cross-correlation analysis in SPSS 27 compared the results of two conventional methods with vaginal microbial community analysis. R software generated box plots depicting the relative abundance of microorganisms. Network analysis was conducted using Cytoscape.ResultsPositive Ureaplasma urealyticum culture findings were observed in 60.2% of patients, with 76.4% positive for Ureaplasma parvum PCR and 13.2% positive for Ureaplasma urealyticum PCR. Mycoplasma hominis culture was positive only in two patients, while Mycoplasma hominis PCR was positive in eight women. Vaginal microbial community analysis identified significant differences in relative abundances of Gardnerella species type I and Fannyhessea vaginae between the Ureaplasma urealyticum PCR positive and negative groups. Mycoplasma hominis PCR positive patients exhibited significant differences in 11 bacterial species, including Gardnerella species I and Fannyhessea vaginae.ConclusionThis study suggests that STD-PCR may be more accurate than Ureaplasma/Mycoplasma culture for the diagnosis of Mycoplasma hominis and Ureaplasma urealyticum infection. Also, the presence of Gardnerella species I and Fannyhessea vaginae implies their potential influences on Ureaplasma urealyticum and Mycoplasma hominis infections based on results of vaginal microbial community analysis. Therefore, vaginal microbial community analysis may give the more information of their pathophysiology.
Etiological stratification and prognostic assessment of haemophagocytic lymphohistiocytosis by machine learning on onco-mNGS data and clinical data
Authors: Wu Lin , Cao Xuefang , Wang Jingshi , Kong Qi , Hu Junxia , Shi Lin , Dou Liurui , Song Deli , Chen Leilei , Zhou Mengyuan , Liu Huan , Ren Ruotong , Wang Zhao 
Published: September 2024

IntroductionHemophagocytic lymphohistiocytosis (HLH) is a rare, complicated and life threatening hyperinflammatory syndrome that maybe triggered by various infectious agents, malignancies and rheumatologic disorders. Early diagnosis and identification of the cause is essential to initiate appropriate treatment and improve the quality of life and survival of patients. The recently developed Onco-mNGS technology can be successfully used for simultaneous detection of infections and tumors.MethodsIn the present study, 92 patients with clinically confirmed HLH were etiologically subtyped for infection, tumor and autoimmunity based on CNV and microbial data generated by Onco-mNGS technology, and a predictive model was developed and validated for the differential diagnosis of the underlying disease leading to secondary HLH. Furthermore, the treatment outcomes of patients with HLH triggered by EBV infection and non-EBV infection were evaluated, respectively.ResultsThe current study demonstrated that the novel Onco-mNGS can identify the infection and malignancy- related triggers among patients with secondary HLH. A random forest classification model based on CNV profile, infectious pathogen spectrum and blood microbial community was developed to better identify the different HLH subtypes and determine the underlying triggers. The prognosis for treatment of HLH patients is not only associated with CNV, but also with the presence of pathogens and non- pathogens in peripheral blood. Higher CNV burden along with frequent deletions on chromosome 19, higher pathogen burden and lower non-pathogenic microbes were prognosis factors that significantly related with unfavorable treatment outcomes.DiscussionOur study provided comprehensive knowledge in the triggers and prognostic predictors of patients with secondary HLH, which may help early diagnosis and appropriate targeted therapy, thus improving the survival and prognosis of the patients.
Prognostic model for predicting recurrence in hepatocellular carcinoma patients with high systemic immune-inflammation index based on machine learning in a multicenter study
Authors: Lu Ningning , Sheng Shugui , Xiong Yiqi , Zhao Chuanren , Qiao Wenying , Ding Xiaoyan , Chen Jinglong , Zhang Yonghong 
Published: September 2024

IntroductionThis study aims to use machine learning to conduct in-depth analysis of key factors affecting the recurrence of HCC patients with high preoperative systemic immune-inflammation index (SII) levels after receiving ablation treatment, and based on this, construct a nomogram model for predicting recurrence-free survival (RFS) of patients.MethodsThis study included clinical data of 505 HCC patients who underwent ablation therapy at Beijing You’an Hospital from January 2014 to January 2020, and accepted 65 HCC patients with high SII levels from Beijing Ditan Hospital as an external validation cohort. 505 patients from Beijing You’an Hospital were divided into low SII and high SII groups based on the optimal cutoff value of SII scores. The high SII group was further randomly divided into training and validation cohorts in a 7:3 ratio. eXtreme Gradient Boosting (XGBoost), random survival forest (RSF), and multivariate Cox regression analysis, were used to explore the factors affecting the post-ablation RFS of HCC patients. Based on the identified key factors, a nomogram model were developed to predict RFS in HCC patients, and their performance were evaluated using the concordance index (C index), receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA). The optimal cutoff value for nomogram scores was used to divide patients into low- and high-risk groups, and the effectiveness of the model in risk stratification was evaluated using Kaplan-Meier (KM) survival curves.ResultsThis study confirmed that age, BCLC stage, tumor number, and GGT level were independent risk factors affecting RFS in HCC patients. Based on the selected risk factors, an RFS nomogram was successfully constructed. The C-index, ROC curve, calibration curve, and DCA curve each demonstrated the discrimination, accuracy, and decision-making utility of the nomogram, indicating that it has good predictive performance. KM curve revealed the nomogram could significantly differentiate patient populations with different recurrence risk.ConclusionWe developed a reliable nomogram that can accurately predict the 1-, 3-, and 5-year RFS for HCC patients with high SII levels following ablation therapy.
The use of thermostable fluorescent proteins for live imaging in Sulfolobus acidocaldarius
Authors: Recalde Alejandra , Abdul-Nabi Jasmin , Junker Pierre , van der Does Chris , Elsässer Jana , van Wolferen Marleen , Albers Sonja-Verena 
Published: September 2024

IntroductionAmong hyperthermophilic organisms, in vivo protein localization is challenging due to the high growth temperatures that can disrupt proper folding and function of mostly mesophilic-derived fluorescent proteins. While protein localization in the thermophilic model archaeon S. acidocaldarius has been achieved using antibodies with fluorescent probes in fixed cells, the use of thermostable fluorescent proteins for live imaging in thermophilic archaea has so far been unsuccessful. Given the significance of live protein localization in the field of archaeal cell biology, we aimed to identify fluorescent proteins for use in S. acidocaldarius.MethodsWe expressed various previously published and optimized thermostable fluorescent proteins along with fusion proteins of interest and analyzed the cells using flow cytometry and (thermo-) fluorescent microscopy.ResultsOf the tested proteins, thermal green protein (TGP) exhibited the brightest fluorescence when expressed in Sulfolobus cells. By optimizing the linker between TGP and a protein of interest, we could additionally successfully fuse proteins with minimal loss of fluorescence. TGP-CdvB and TGP-PCNA1 fusions displayed localization patterns consistent with previous immunolocalization experiments.DiscussionThese initial results in live protein localization in S. acidocaldarius at high temperatures, combined with recent advancements in thermomicroscopy, open new avenues in the field of archaeal cell biology. This progress finally enables localization experiments in thermophilic archaea, which have so far been limited to mesophilic organisms.
Unveiling wheat growth promotion potential of phosphate solubilizing Pantoea agglomerans PS1 and PS2 through genomic, physiological, and metagenomic characterizations
Authors: Sharma Pinki , Pandey Rajesh , Chauhan Nar Singh 
Published: September 2024

IntroductionPhosphorus is an abundant element in the earth’s crust and is generally found as complex insoluble conjugates. Plants cannot assimilate insoluble phosphorus and require external supplementation as chemical fertilizers to achieve a good yield. Continuous use of fertilizers has impacted soil ecology, and a sustainable solution is needed to meet plant elemental requirements. Phosphate solubilizing microbes could enhance phosphorus bioavailability for better crop production and can be employed to attain sustainable agriculture practices.MethodsThe current study unveils the biofertilizer potential of wheat rhizospheric bacteria through physiological, taxonomic, genomic, and microbiomics experimentations.Results and DiscussionCulture-dependent exploration identified phosphate-solubilizing PS1 and PS2 strains from the wheat rhizosphere. These isolates were rod-shaped, gram-negative, facultative anaerobic bacteria, having optimum growth at 37°C and pH 7. Phylogenetic and phylogenomic characterization revealed their taxonomic affiliation as Pantoea agglomerans subspecies PS1 &amp; PS2. Both isolates exhibited good tolerance against saline (&gt;10% NaCl (w/v), &gt;11.0% KCl (w/v), and &gt;6.0% LiCl (w/v)), oxidizing (&gt;5.9% H2O2 (v/v)) conditions. PS1 and PS2 genomes harbor gene clusters for biofertilization features, root colonization, and stress tolerance. PS1 and PS2 showed nitrate reduction, phosphate solubilization, auxin production, and carbohydrate utilization properties. Treatment of seeds with PS1 and PS2 significantly enhanced seed germination percentage (p = 0.028 and p = 0.008, respectively), number of tillers (p = 0.0018), number of leaves (p = 0.0001), number of spikes (p = 0.0001) and grain production (p = 0.0001). Wheat rhizosphere microbiota characterizations indicated stable colonization of PS1 and PS2 strains in treated seeds at different feek stages. Pretreatment of seeds with both strains engineered the wheat rhizosphere microbiota by recruiting plant growth-promoting microbial groups. In vitro, In vivo, and microbiota characterization studies indicated the biofertilizer potential of Pantoea sp. PS1 &amp; PS2 to enhance wheat crop production. The employment of these strains could fulfill plant nutrient requirements and be a substitute for chemical fertilizers for sustainable agriculture.
The Gly103Arg variant in hereditary transthyretin amyloidosis
Authors: Xiong Yihan , Qu Gongcheng , Lu Xiaoyu , Chang Xin , Zhang Miaoping , Liang Jiantang , Lin Kexing , Zhao Xiaoman , Fu Xuejun , Huang Ying , Xu Qianhui 
Published: September 2024

BackgroundHereditary transthyretin amyloidosis (ATTRv) is an autosomal dominant inherited systematic disease primarily affecting the peripheral and autonomic nervous system, heart, eyes and kidney. Over 140 variants have been identified worldwide, with the Gly103Arg variant reported exclusively in China. This variant is characterized by early onset eye manifestations, making accurate and timely diagnosis difficult. Therefore, we conducted a case study and literature review to investigate the clinical characteristics of the Gly103Arg variant in hereditary transthyretin amyloidosis.MethodsWe identified three patients and an asymptomatic carrier in a four-generation family by sequencing the TTR gene. The proband underwent a lumbar puncture, electromyography, abdominal fat biopsy, among other tests. Case reports of Gly103Arg variant were retrieved through a literature search for an analysis of clinical characteristics.ResultsThe study included clinical data of 44 patients. Our literature review collected data on 41 patients and the present report supplied 3 patients with the Gly103Arg variant. The mean age at onset was 39.1 ± 4.27 years (range 30–47 years) with a female ratio of 52.3%. All cases were reported in China, predominantly in southern regions, especially Yunan and Guizhou Provinces. The initial manifestation was blurred vision, except for one case presenting with numbness in the upper extremities. All of them had vitreous opacity; 17 cases had peripheral neuropathy,6 cases had autonomic neuropathy, and 3 cases had cardiopathy. No disease-related deaths have been reported to date.ConclusionThe Gly103Arg variant is unique to the Chinese population, frequently occurring in southern China. The main clinical manifestations are blurred vision, vitreous opacity, and neuropathy, with cardiopathy being rare. ATTRv should be considered if a patient diagnosed with CIDP does not respond to related therapy. Abdominal fat biopsy is a convenient and accurate diagnostic method.
Knowledge mapping of freezing of gait in Parkinson’s disease: a bibliometric analysis
Authors: Jiao Yue , Liu Zaichao , Li Juan , Su Yan , Chen Xianwen 
Published: September 2024

ObjectiveAmong the disturbing motor symptoms in Parkinson’s disease (PD), freezing of gait (FOG) stands out as one of the most severe challenges. It typically arises during the initiation of gait or when turning. This phenomenon not only impose a heavy burden on patients, but also on their families. We conduct a bibliometric analysis to summarize current research hotspots and trends concerning freezing of gait in Parkinson’s disease (PD-FOG) over past two decades.MethodsWe retrieved articles and reviews published in English about PD-FOG in the Web of science Core Collection database from 2000 to 2023 on November 30,2023. The tools VOSviewer and CiteSpace facilitated a visual analysis covering various aspects such as publications, countries/regions, organizations, authors, journals, cited references, and keywords.ResultThis study includes 1,340 articles from 64 countries/regions. There is a growth in publications related to PD-FOG over the past two decades, maintaining a stable high output since 2018, indicating a promising research landscape in the field of PD-FOG. The United States holds a leading position in this field, with Nieuwboer A and Giladi N being two of the most influential researchers. Over the past two decades, the research hotspots for PD-FOG have primarily encompassed the kinematic characteristics, diagnosis and detection, cognitive deficits and neural connectivity, as well as therapy and rehabilitation of PD-FOG. Topics including functional connectivity, virtual reality, deep learning and machine learning will be focal points of future research.ConclusionThis is the first bibliometric analysis of PD-FOG. We construct this study to summarize the research in this field over past two decades, visually show the current hotspots and trends, and offer scholars in this field concepts and strategies for subsequent studies.
Machine learning-based nomogram for distinguishing between supratentorial extraventricular ependymoma and supratentorial glioblastoma
Authors: Chen Ling , Chen Weijiao , Tang Chuyun , Li Yao , Wu Min , Tang Lifang , Huang Lizhao , Li Rui , Li Tao 
Published: September 2024

ObjectiveTo develop a machine learning-based nomogram for distinguishing between supratentorial extraventricular ependymoma (STEE) and supratentorial glioblastoma (GBM).MethodsWe conducted a retrospective analysis on MRI datasets obtained from 140 patients who were diagnosed with STEE (n=48) and GBM (n=92) from two institutions. Initially, we compared seven different machine learning algorithms to determine the most suitable signature (rad-score). Subsequently, univariate and multivariate logistic regression analyses were performed to identify significant clinical predictors that can differentiate between STEE and GBM. Finally, we developed a nomogram by visualizing the rad-score and clinical features for clinical evaluation.ResultsThe TreeBagger (TB) outperformed the other six algorithms, yielding the best diagnostic efficacy in differentiating STEE from GBM, with area under the curve (AUC) values of 0.735 (95% CI: 0.625-0.845) and 0.796 (95% CI: 0.644-0.949) in the training set and test set. Furthermore, the nomogram incorporating both the rad-score and clinical variables demonstrated a robust predictive performance with an accuracy of 0.787 in the training set and 0.832 in the test set.ConclusionThe nomogram could serve as a valuable tool for non-invasively discriminating between STEE and GBM.
Outcomes of infants with birthweights less than 501 g compared to infants weighing 501–750 g at a center utilizing first intention high frequency jet ventilation
Authors: Elgin Timothy G. , Berger Jennifer N. , Kaluarachchi Dinushan C. , Dagle John M. , Thomas Brady , Colaizy Tarah T. , Klein Jonathan M. 
Published: September 2024

BackgroundData on clinical outcomes of infants with birthweights less than 501 g (ELBW&lt;501) are limited.ObjectiveTo evaluate management strategies and clinical outcomes of ELBW&lt;501infants compared to infants weighing 501–750 g (ELBW501–750).MethodsA retrospective study of all ELBW&lt;501 and ELBW501–750 infants born between 2012 and 2022 at a center utilizing first intention high frequency jet ventilation was performed. Patient characteristics, clinical and outcome data were compared between the two groups.ResultsA total of 358 infants (92 ELBW&lt;501 infants and 266 ELBW501–750) were included. The survival rate for the ELBW&lt;501 group was 60.9% compared to 86.5% for ELBW501–750. ELBW&lt;501 infants required more frequent use of 2.0 mm endotracheal tubes, required higher FiO2 and longer duration of mechanical ventilation. Compared to ELBW501–750 group, the ELBW&lt;501 group were more likely to be SGA (68.2% vs. 16.5%) and more premature (23.2 vs. 24.3 weeks) with lower survival, longer length of stay, higher incidence of ROP and lower weight at discharge but comparable rates of IVH, grade 3 BPD, discharged on supplemental oxygen, and tracheostomy.ConclusionELBW&lt;501 infants are at risk for significant morbidity and mortality. However, with specialized obstetric and neonatal care, survival rates of 60% are possible with respiratory outcomes comparable to ELBW501–750 infants. However, the increased risk of severe ROP for ELBW&lt;501 requiring either surgical or medical intervention is concerning and warrants optimal surveillance.
Unraveling the regulatory cell death pathways in gastric cancer: a multi-omics study
Authors: Sun Jiazheng , Rao Lixiang , Zhou Sirui , Zeng Yulan , Sun Yalu 
Published: September 2024

Gastric cancer (GC) is a prevalent form of cancer worldwide and has a high death rate, with less than 40% of patients surviving for 5 years. GC demonstrates a vital characteristic of evading regulatory cell death (RCD). However, the extent to which RCD patterns are clinically significant in GC has not been well investigated. The study created a regulatory cell death index (RCDI) signature by employing 101 machine-learning algorithms. These algorithms were based on the expression files of 1292 GC patients from 6 multicenter cohorts. RCDI is a reliable and robust determinant of the likelihood of surviving in general. Furthermore, the precision of RCDI surpasses that of the 20 signatures that have been previously disclosed. The presence of RCDI signature is closely linked to immunological characteristics, such as the infiltration of immune cells, the presence of immunotherapy markers, and the activation of immune-related functions. This suggests that there is a higher level of immune activity in cases with RCDI signature. Collectively, the use of RCDI has the potential to be a strong and encouraging method for enhancing the clinical results of individual individuals with GC.