bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penerapan Algortima Convolutional Neural Network (CNN) Untuk Identifikasi Lahan Kosong Di Kota Tegal Berdasarkan Citra Google Earth
Authors: Triwinanto Mohammad Amin Triwinanto , Murtopo Aang Alim , Syefudin Syefudin , Gunawan Gunawan 
Published: July 2024

Lahan kosong memiliki berbagai macam jenis. Setiap jenis lahan kosong memiliki macam-macam tertentu dengan model yang beragam. Dalam menentukan jenis lahan kosong maka perlu dilakukan sebuah klasifikasi dengan menggunakan metode Convolutional Neural Network (CNN). Dengan penggunaan CNN dapat dilakukan ekstraksi sebuah fitur kemudian fitur-fitur tersebut akan menjadi data dalam menentukan klasifikasi jenis lahan kosong. Data gambar lahan kosong yang dikumpulkan dari data augmentasi adalah sebanyak 120 gambar dengan jenis lahan kosong tambak, rawa, pemukiman, dan sawah. Keempat kelas jenis lahan kosong tersebut memiliki perbandingam data latih 70% dan data uji 30%. Masing-masing kelas menggunakan empat convolutional layer dengan filter 32, 32, 64, dan 64 dan menggunakan pool size sebesar 2x2 dengan neuron (hidden layer) sebanyak 512. Pengujian website image classification dengan menggunakan metode confusion matrix didapatkan akurasi sebesar 80,5% dari pengujian yang dilakukan pada data uji.
Analisis Sentimen Masyarakat Di Twitter Terhadap Pemerintahan Anies Baswedan Menggunakan Metode Naive Bayes Classifier
Authors: Kahi Febriyanti Rambu Bangu , Talakua Alfrian , Reynaldi Reynaldi 
Published: July 2024

Twitter adalah platform media sosial yang banyak digunakan di Indonesia. Dengan adanya media sosial dapat dimanfaatkan untuk menggalang opini masyarakat di Twitter mengenai kinerja seorang pemimpin dengan kata-kata yang menyinggung dan provokatif. Banyak cuitan di Twitter yang menjadi berita hangat di Indonesia, salah satunya Anies Baswedan. Anies Baswedan adalah mantan Gubernur Daerah Khusus Ibu Kota Jakarta yang dikenal sikap kepemimpinannya tegas dan membawa perubahan. Saat ini banyak media yang memberikan informasi bahwa Anies Baswedan mencalonkan diri sebagai Presiden Republik Indonesia pada tahun 2024 mendatang. Pencalonan Anies Baswedan sebagai Presiden Indonesia, tidak bisa dipungkiri bahwa banyak masyarakat yang ingin mengetahui program – program apa saja yang sudah menjadi bukti nyata selama masa pemerintahan Anies Baswedan. Dengan demikian, banyak opini dari masyarakat tentang kinerja Anies Baswedan selama masa jabatannya, karena dengan masyarakat mengetahui program dan adanya bukti nyata yang sudah diwujudkan Anies Baswedan pada masa pemerintahannhya. Sehingga karya Anies Baswedan menjadi tolak ukuran bagi masyarakat untuk mempertimbangkan Anies Baswedan layak dipilih menjadi Presiden Republik Indonesia atau tidak. Algoritma yang digunakan dalam analisis ini adalah klasifikasi Naive Bayes. Naïve Bayes Classifier merupakan salah satu metode machine learning yang memanfaatkan perhitungan probabilitas dan statistik yang dikemukakan oleh ilmuwan Inggris Thomas Bayes, yaitu memprediksi probabilitas di masa depan berdasarkan pengalaman di masa sebelumnya. Manfaat penelitian ini untuk mengetahui berapa banyak sentimen opini positif dan negatif masyarakat terhadap Pemerintahan Anies Baswedan selama menjabat sebagai Gubernur Daerah Khusus Ibu Kota Jakarta dan akan mencalonkan diri untuk menjadi caleg Presiden di tahun 2024 mendatang. Performa teknik klasifikasi tingkat akurasi 76,04%, presisi 71,43% recall 81,63 % dan f-measure 76,19%. Hasil akhir dari penelitian ini tanggapan masyarakat berkategori positif sebanyak 746 (47,7%), berkategori negatif lebih banyak dengan jumlah data sebanyak 817 (52,3%).

Kata kunci: Anies Baswedan, Analisis Sentimen, Naïve Bayes, Twitter.
No beneficial use of the wearable cardioverter defibrillator among patients suffering from inherited and congenital heart disease: data from a European multicenter registry
Authors: Koepsel Katharina , Dreher Tobias C. , Blockhaus Christian , Gotzmann Michael , Klein Norbert , Kuntz Thomas , Shin Dong-In , Lapp Hendrik , Schiedat Fabian , Abumayyaleh Mohammad , Beiert Thomas , Weth Christian , Kovacs Boldizsar , Rosenkaimer Stephanie , Kowitz Jacqueline , Saguner Ardan Muammer , Erath Julia W. , Duru Firat , Mügge Andreas , Akin Ibrahim , Aweimer Assem , Hamdani Nazha , El-Battrawy Ibrahim 
Published: July 2024

BackgroundData on the use of the wearable cardioverter defibrillator in patients suffering from inherited and congenital heart disease are limited. Consequently, evidence for guideline recommendations in this patient population is lacking.MethodsIn total 1,675 patients were included in a multicenter registry of eight European centers. In the present cohort, we included 18 patients suffering from congenital and inherited heart disease.ResultsNine patients (50%) were male with a mean age of 41.3 ± 16.4 years. Four patients suffered from hypertrophic cardiomyopathy (HCM), four patients suffered from non-compaction cardiomyopathy (NCCM), two patients were diagnosed with arrhythmogenic right ventricular cardiomyopathy (ARVC) and one patient suffered from muscular dystrophy of the limb-girdle type with cardiac involvement, secondary cardiomyopathy. Three patients presented with Brugada syndrome (BrS). One patient suffered from long-QT syndrome type 1 (LQTS1). Furthermore, two patients had congenital heart defects and one patient suffered from cardiac sarcoidosis (CS). There were no appropriate/inappropriate shocks with the WCD in this cohort. One patient had recurrent self-limiting sustained ventricular tachycardia during the wear time, but actively inhibited a shock and was hospitalized. The compliance rate in this cohort was 77.8% with a mean wear time of 45.3 ± 26.9 days with a mean follow-up time of 570 ± 734 days. 55.6% (10/18) of the patients received an ICD after WCD wear time.ConclusionsThis retrospective study of patients with inherited and congenital heart disease shows that WCD use is not beneficial in the majority of patients with inherited and congenital heart disease.
The causal relationship between gut microbiota and diabetic neuropathy: a bi-directional two-sample Mendelian randomization study
Authors: Xie Long , Gan Wen , Cai GuangRong 
Published: July 2024

BackgroundMany studies suggest a strong correlation between gut microbiota (GM) and diabetic neuropathy (DN). However, the precise causal relationship between GM and DN has yet to be fully elucidated. Hence, a bi-directional Mendelian randomization (MR) analysis was used to examine the association between GM and DN.MethodsWidely known genome-wide association study (GWAS) of GM was collected from the MiBio Gen project. Summary-level datasets for DN were taken from the FinnGen project. Inverse variance weighted approach was used for evaluating the causal relationship between GM and DN. Subsequently, pleiotropy and heterogeneity tests were performed to verify the reliability of the data. Furthermore, a bidirectional two-sample MR analysis was done to investigate the directionality of the causal relationships. Gene Ontology analysis was conducted to identify the associations that could indicate biological functions.ResultsWe identified potential causal associations between GM and DN (p&lt; 0.05 in all three MR methods). Among them, we found increased levels of Christensenellaceae R-7 (Odds ratio, OR= 1.52; 95% confidence interval, CI = 1.03–2.23; p = 0.03), Ruminococcaceae UCG013 (OR =1.35; 95% CI = 1.00–1.85; p = 0.04), and Eggerthella groups (OR = 1.27; 95% CI = 1.05–1.55; p = 0.01), which may be associated with a higher risk of DN, while increased levels of Peptococcaceae (OR = 0.69; 95% CI = 0.54–0.90; p&lt; 0.01) and Eubacterium coprostanoligenes groups (OR = 0.68; 95% CI = 0.49–0.93; p = 0.01) could be associated with a lower risk. Gene Ontology pathway analysis revealed enrichment of genes regulated by the associated single-nucleotide polymorphisms (SNPs) in the apical plasma membrane, glycosyltransferase activity, hexosyltransferase activity and membrane raft. Reverse MR analyses indicated that DN was associated with five microbial taxa in all three MR methods.ConclusionThe results of our study validate the possible causative relationship between GM and DN. This discovery gives new perspectives into the mechanism on how GM influences DN, and establishes a theoretical foundation for future investigations into targeted preventive measures.
Genetically predicted 1091 blood metabolites and 309 metabolite ratios in relation to risk of type 2 diabetes: a Mendelian randomization study
Authors: Li Jixin , Wang Wenru , Liu Fengzhao , Qiu Linjie , Ren Yan , Li Meijie , Li Wenjie , Gao Feng , Zhang Jin 
Published: July 2024

BackgroundMetabolic dysregulation represents a defining characteristic of Type 2 diabetes (T2DM). Nevertheless, there remains an absence of substantial evidence establishing a direct causal link between circulating blood metabolites and the promotion or prevention of T2DM. In addressing this gap, we employed Mendelian randomization (MR) analysis to investigate the potential causal association between 1,091 blood metabolites, 309 metabolite ratios, and the occurrence of T2DM.MethodsData encompassing single-nucleotide polymorphisms (SNPs) for 1,091 blood metabolites and 309 metabolite ratios were extracted from a Canadian Genome-wide association study (GWAS) involving 8,299 participants. To evaluate the causal link between these metabolites and Type 2 diabetes (T2DM), multiple methods including Inverse Variance Weighted (IVW), Weighted Median, MR Egger, Weighted Mode, and Simple Mode were employed. p-values underwent correction utilizing False Discovery Rates (FDR). Sensitivity analyses incorporated Cochran’s Q test, MR-Egger intercept test, MR-PRESSO, Steiger test, leave-one-out analysis, and single SNP analysis. The causal effects were visualized via Circos plot, forest plot, and scatter plot. Furthermore, for noteworthy, an independent T2DM GWAS dataset (GCST006867) was utilized for replication analysis. Metabolic pathway analysis of closely correlated metabolites was conducted using MetaboAnalyst 5.0.ResultsThe IVW analysis method utilized in this study revealed 88 blood metabolites and 37 metabolite ratios demonstrating a significant causal relationship with T2DM (p &lt; 0.05). Notably, strong causal associations with T2DM were observed for specific metabolites: 1-linoleoyl-GPE (18:2) (IVW: OR:0.930, 95% CI: 0.899–0.962, p = 2.16 × 10−5), 1,2-dilinoleoyl-GPE (18:2/18:2) (IVW: OR:0.942, 95% CI: 0.917–0.968, p = 1.64 × 10−5), Mannose (IVW: OR:1.133, 95% CI: 1.072–1.197, p = 1.02 × 10−5), X-21829 (IVW: OR:1.036, 95% CI: 1.036–1.122, p = 9.44 × 10−5), and Phosphate to mannose ratio (IVW: OR:0.870, 95% CI: 0.818–0.926, p = 1.29 × 10−5, FDR = 0.008). Additionally, metabolic pathway analysis highlighted six significant pathways associated with T2DM development: Valine, leucine and isoleucine biosynthesis, Phenylalanine metabolism, Glycerophospholipid metabolism, Alpha-Linolenic acid metabolism, Sphingolipid metabolism, and Alanine, aspartate, and glutamate metabolism.ConclusionThis study identifies both protective and risk-associated metabolites that play a causal role in the development of T2DM. By integrating genomics and metabolomics, it presents novel insights into the pathogenesis of T2DM. These findings hold potential implications for early screening, preventive measures, and treatment strategies for T2DM.
Prognostic value of inflammatory markers NLR, PLR, and LMR in gastric cancer patients treated with immune checkpoint inhibitors: a meta-analysis and systematic review
Authors: Tan Shufa , Zheng Qin , Zhang Wei , Zhou Mi , Xia Chunyan , Feng Wenzhe 
Published: July 2024

BackgroundImmune checkpoint inhibitors (ICIs) represent a groundbreaking approach to cancer therapy. Inflammatory markers such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) have emerged as potential indicators strongly associated with tumor prognosis, albeit their prognostic significance remains contentious. The predictive value of NLR, PLR, LMR in patients with gastric cancer (GC) treated with ICIs has not been fully explored; therefore, we conducted a meta-analysis to examine the potential of inflammatory markers NLR, PLR, and LMR as survival predictors in this population.MethodsA comprehensive search was conducted across PubMed, Embase, Web of Science, and Cochrane databases, with the search cut-off date set as March 2024. Hazard ratios (HR) and their corresponding 95% confidence intervals (CI) were calculated to assess the prognostic significance of NLR, PLR, and LMR for both progression-free survival (PFS) and overall survival (OS).ResultsFifteen cohort studies involving 1336 gastric cancer patients were finally included in this meta-analysis. The results of the meta-analysis showed that high levels of NLR were associated with poorer OS and PFS in GC patients receiving ICIs, with combined HRs of OS [HR=2.01, 95%CI (1.72,2.34), P&lt;0.01], and PFS PFS[HR=1.59, 95%CI (1.37,1.86), P&lt;0.01], respectively; high levels of PLR were associated with poorer OS and PFS, and the combined HR was OS [HR=1.57, 95%CI (1.25,1.96), P&lt;0.01], PFS [HR=1.52,95%CI (1.20, 1.94), P&lt;0.01], respectively; and there was an association between elevated LMR and prolonged OS and PFS, and the combined HR was OS [HR=0.62, 95%CI (0.47,0.81), P&lt;0.01], and PFS [HR=0.69, 95%CI (0.50,0.95), P&lt;0.01].ConclusionIn gastric cancer (GC) patients treated with immune checkpoint inhibitors (ICIs), elevated neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were associated with poorer overall survival (OS) and progression-free survival (PFS), while high lymphocyte-to-monocyte ratio (LMR) was linked to improved OS and PFS. Subgroup analyses suggested that NLR might be particularly pertinent to the prognosis of GC patients. In conclusion, the inflammatory markers NLR, PLR, and LMR serve as effective biomarkers for prognostic assessment in GC patients, offering valuable insights for therapeutic decision-making in the realm of GC immunotherapy. Prospective studies of high quality are eagerly awaited to validate these findings in the future.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/#myprospero, identifier CRD42024524321.
Exploring the causal relationship between glutamine metabolism and leukemia risk: a Mendelian randomization and LC-MS/MS analysis
Authors: Li Na , Wang Tianyi , Zhang Huiying , Li Xiao , Bai Haochen , Lu Ning , Lu Kaizhi 
Published: July 2024

ObjectiveThis investigation sought to delineate the causal nexus between plasma glutamine concentrations and leukemia susceptibility utilizing bidirectional Mendelian Randomization (MR) analysis and to elucidate the metabolic ramifications of asparaginase therapy on glutamine dynamics in leukemia patients.MethodsA bidirectional two-sample MR framework was implemented, leveraging genetic variants as instrumental variables from extensive genome-wide association studies (GWAS) tailored to populations of European descent. Glutamine quantification was executed through a rigorously validated Liquid Chromatography-Mass Spectrometry/Mass Spectrometry (LC-MS/MS) protocol. Comparative analyses of glutamine levels were conducted across leukemia patients versus healthy controls, pre- and post-asparaginase administration. Statistical evaluations employed inverse variance weighted (IVW) models, MR-Egger regression, and sensitivity tests addressing pleiotropy and heterogeneity.ResultsThe MR findings underscored a significant inverse association between glutamine levels and leukemia risk (IVW p = 0.03558833), positing lower glutamine levels as a contributory factor to heightened leukemia susceptibility. Conversely, the analysis disclosed no substantive causal impact of leukemia on glutamine modulation (IVW p = 0.9694758). Notably, post-asparaginase treatment, a marked decrement in plasma glutamine concentrations was observed in patients (p = 0.0068), underlining the profound metabolic influence of the therapeutic regimen.ConclusionThis study corroborates the hypothesized inverse relationship between plasma glutamine levels and leukemia risk, enhancing our understanding of glutamine’s role in leukemia pathophysiology. The pronounced reduction in glutamine levels following asparaginase intervention highlights the critical need for meticulous metabolic monitoring to refine therapeutic efficacy and optimize patient management in clinical oncology. These insights pave the way for more tailored and efficacious treatment modalities in the realm of personalized medicine.
Trends in myopia development among Chinese children and adolescents in Xuzhou during one academic year
Authors: Li Lin , Liao Ya , Wang Qian , Wang Mei , Zhang Wenxuan , Wang Xiaojuan 
Published: July 2024

PurposeThis study investigates the prevalence and progression of myopia among primary and secondary school students in Xuzhou City, China, during one academic year.MethodsThe study employed a prospective research design and utilized a whole-group sampling method to conduct non-cycloplegic spot photo screenings on 37,938 students from 44 primary and secondary schools in Xuzhou City, China. A one-year study was conducted to gather spherical equivalent refraction (SER), and subsequent analysis was carried out to explore the disparities in myopia prevalence among primary and secondary school students within the same academic year, as well as the progression of myopia.ResultsDuring the 2022 academic year, the overall prevalence of myopia in the first and second semesters was 62.6 and 64.2% respectively, indicating an increasing trend. Particularly in primary school (Grades 1–6), the prevalence of myopia increased with higher grade levels, and significant variations in myopia prevalence were observed mainly in grades 1–3 and 7 (p &lt; 0.05). The incidence rate of myopia in middle school remained stable, while in primary school, there was a positive correlation between myopia incidence and the grade level, with the highest rate of 20.1% in grade 6. Among the myopic population, the median value of spherical equivalent refraction slightly decreased between the two semesters. The proportion of high myopia increased among students in grades 5–8.ConclusionOur study revealed that within one academic year, the prevalence of myopia and the severity of myopia have significantly increased in Xuzhou City, China, accompanied by an increase in the proportion of high myopia. For different grade levels, we should adopt personalized prevention and control measures, with a particular focus on lower grade levels and students who have just entered a new grade.
Exploration of the application of augmented reality technology for teaching spinal tumor’s anatomy and surgical techniques
Authors: Liu Shuzhong , Yang Jianxin , Jin Hui , Liang Annan , Zhang Qi , Xing Jinyi , Liu Yong , Li Shuangshou 
Published: July 2024

BackgroundAugmented reality (AR) technology is gradually being applied in surgical teaching as an innovative teaching method. Developing innovative teaching methods to replicate clinical theory and practical teaching scenarios, simulate preoperative planning and training for bone tumor surgery, and offer enhanced training opportunities for young physicians to acquire and apply clinical knowledge is a crucial concern that impacts the advancement of the discipline and the educational standards for young orthopedic physicians.ObjectiveThis study explores the application effect of augmented reality technology in anatomy teaching and surgical clinical teaching for spinal tumor.MethodsThe method utilizes virtual reality and augmented reality technology to present a spinal tumor model and the surgical process of percutaneous vertebroplasty. We conducted a random selection of 12 students forming into the augmented reality teaching group and 13 students forming into the traditional teaching group among the 8-year medical students from Peking Union Medical College and Tsinghua University, ensuring that the age and learning stage of the students in both groups were similar. Two groups of students were taught using traditional teaching methods and augmented reality technology-assisted teaching methods, respectively. A questionnaire survey was conducted after class to assess the quality of course instruction, student motivation in learning, their proficiency in anatomical structures, their comprehension of spinal tumor growth and metastasis, and their understanding and proficiency in percutaneous vertebroplasty.ResultsThis study was the first to apply augmented reality technology in teaching, using spinal tumors and percutaneous vertebroplasty as examples, a head-mounted augmented reality device was used to create learning scenarios, presenting the complex three-dimensional spatial structure intuitively. The two groups of students differ significantly in their rating of teaching quality, enthusiasm for learning, knowledge of anatomical features, understanding of spinal trabecular structure, and understanding of steps in percutaneous vertebroplasty. The augmented reality technology-assisted teaching system demonstrates outstanding advantages.ConclusionAugmented reality technology has great potential and broad prospects in teaching bone tumors, which can help improve the visualization, interactivity, and three-dimensional spatial sense of medical teaching in spinal tumor. The application and development prospects of using augmented reality technology for anatomy instruction, surgical teaching, and simulation training are extensive.
The effectiveness of transnasal high flow nasal cannula in bronchoscopy under sedation: a systematic review and meta-analysis
Authors: Wei Chen , Ma Shaoyong , Wang Jingwen , Yang Na , Wang Dandan , Yuan Liping , Wang Yingying 
Published: July 2024

BackgroundThe objective of this study was to conduct a systematic review and meta-analysis of the clinical application effects of transnasal high flow nasal cannula compared to other conventional modalities for oxygen therapy devices in patients undergoing bronchoscopy.MethodsA comprehensive literature search was conducted in multiple English databases, including PubMed, Web of Science, and Cochrane Library, to collect relevant studies on the application of high flow nasal cannula in patients undergoing bronchoscopy, and conducted a meta-analysis utilizing RevMan 5.4 software, following the predetermined inclusion and exclusion criteria.ResultsA total of 12 studies meeting the inclusion criteria were included, involving 1,631 patients (HFNC group: n = 811, other oxygen therapy group: n = 820). The meta-analysis results demonstrated that HFNC significantly reduced the incidence of hypoxemia and improved the minimum oxygen saturation compared to conventional oxygen therapy (RR = 0.27, 95% CI: 0.18–0.41, p &lt; 0.00001; MD = 6.09, 95% CI: 3.73–8.45, p &lt; 0.00001). Furthermore, HFNC showed statistically significant differences when compared to non-invasive ventilation in terms of hypoxemia incidence (RR = 3.52, 95% CI: 1.13–10.97, p = 0.03) and minimum oxygen saturation (MD = −1.97, 95% CI: −2.97-−0.98, p &lt; 0.0001). In addition, HFNC resulted in significantly shorter surgical time and higher PaO2 at the end of the procedure compared to conventional oxygen therapy (MD = 1.53, 95% CI: 0.66–2.40, p = 0.0006; MD = 15.52, 95% CI: 10.12–20.92, p &lt; 0.00001). However, there were no statistically significant differences observed in PaCO2, EtCO2, and MAP at the end of the procedure (MD = 1.23, 95% CI: −0.74-3.20, p = 0.22; MD = −0.35, 95% CI: −3.77-3.06, p = 0.84; MD = −0.54, 95% CI: −2.44-1.36, p = 0.58).ConclusionWhen HFNC or NIV is utilized during the examination and treatment of bronchoscopy patients, both oxygenation modalities enhance oxygenation function and reduce the incidence of hypoxemia compared to conventional oxygen therapy. HFNC can be regarded as a viable alternative to NIV for specific high-risk patients undergoing bronchoscopy. It decreases the duration of bronchoscopy and improves the PaO2 levels at the end of the procedure, but does not significantly impact the PaCO2, EtCO2, and mean arterial pressure.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier 1414374462@qq.com.