bluuebunny/crossref_metadata_2025_split huggingface dataset:
Éric Zemmour : Essayiste Pamphlétaire, Pamphlétaire Essayiste
Authors: Azou Pierre 
Published: November 2023

Abstract
If Renza Bensmaïa is right to see in the essay “the Other that gives birth to all the others” ; if it is indeed the case that, since Montaigne, it has fed on doubt and fuelled debate ; if it is therefore coeval with modernity ; then there is a contradiction between Éric Zemmour's essayistic stance and his — reactionary, extremist, xenophobic — political program. Instead of trying to resolve this contradiction by negating either of its terms, I follow the internal logic of the essay as practised by Zemmour to arrive at the paradox of an essayist who is also an extremist. Evolving from the essay to the pamphlet, and oscillating between the two, Zemmour is this paradoxical essayist who “tries” to escape the essay by means of the essay.
Entrevista con Flavia Freidenberg
Authors: Martins Thaís Cavalcante , Maia Jayane dos Santos 
Published: November 2023

Española y Argentina, politóloga y periodista, Flavia Freidenberg es uno de los nombres más destacados en los estudios de género y de la política subnacional en América Latina. Doctora en Ciencia Política por la Universidad de Salamanca (2001) y Máster en Estudios Latinoamericanos por la misma institución (1999), Freidenberg es actualmente Investigadora Titular “C” Definitivo a Tiempo Completo del Instituto de Investigaciones Jurídicas de la Universidad Nacional Autónoma de México (UNAM) y profesora del Postgrado en Ciencias Políticas y Sociales de la misma universidad. Es también Directora General del Observatorio de Reformas Políticas en América Latina. Ella fue Directora del Instituto de Iberoamérica de la Universidad de Salamanca en España, entre 2012 y 2015 y miembro del Consejo Ejecutivo de la Asociación Latinoamericana de Ciencia Política (ALACIP) entre 2008 y 2013.
Entrevista com Monique de SAINT MARTIN
Authors: Jardim Maria Chaves , Martins Thais Joi 
Published: November 2023

Monique de Saint Martin é socióloga, diretora de estudos da École des Hautes Études en Sciences Sociales (EHESS) e é membro do Institut de Recherche Interdisciplinaire sur les Enjeux Sociaux (IRIS). Realizou e dirigiu inúmeras pesquisas sobre sociologia das elites, sociologia do poder e sociologia da educação, dentre outras temas, e fez parte da equipe de pesquisadores coordenada por Pierre Bourdieu, quando escreveu diversos artigos com o autor, como o seminal Anatomie du goût, publicado na Actes de la Recherche en Sciences Sociales, em 1976. A lista de publicação de Saint Martin é extensa, mas damos destaque ao livro L'espace de la noblesse (Edição Métailié, 1993), bastante lido e citado pelos seus leitores brasileiros, que certamente apreciarão conhecer um pouco mais sobre essa socióloga, que é tão sensível e rigorosa ao tratar do mundo social. Devido ao isolamento social imposto pela pandemia Covid 19, a entrevista foi realizada de forma remota em outubro de 2021.
Webquest technology in foreign language classes
Authors: Zinchenko Anna , Serdiuk Alina 
Published: November 2023

The article investigates webquests as an educational technology and examines its effectiveness in teaching foreign languages.
Current conditions and the progressive development of society have significantly influenced the organization of education. Creative methods as relevant approaches to teaching, especially foreign languages, were studied in the article. Among the entire list of creative teaching technologies, the use of quests has attracted the attention of researchers and teachers due to its adequacy and adaptability to complex and changing learning environments. The study examines the essence of webquest technology, which meets the requirements of the online educational process. The current types of webquests and their characteristic features were also studied. Designing educational webquests requires careful preparation by the teacher. The possibility of creating webquests on online platforms greatly simplifies the preparatory work of the teacher and promotes the popularization of webquests among students. The process of creating a webquest for the discipline “German language” on the Genial.ly platform was described in detail in the article. The authors outlined the main stages of webquest preparation and design. The feasibility of selecting certain types of tasks within the created webquest while teaching this discipline was also described. The article presents the main results of the experiment with the use of webquests during the “German language” discipline for first-year students majoring in Philology and proves the effectiveness of webquests in teaching foreign languages, in particular.
Analysis of the Impact of Nursing Interventions on Treatment Compliance in Children with Congenital Ptosis after Surgery
Authors: Wang Dandan 
Published: November 2023

Objective: This study aimed to explore the impact of nursing interventions on treatment compliance in children with congenital ptosis after surgery. Methods: From April 2021 to April 2022, 82 cases of children who underwent surgery for congenital ptosis at our hospital were divided into an observation group (n = 41) and a control group (n = 41). Both groups received treatment at our hospital and were subjected to different nursing methods post-treatment, with the control group receiving routine nursing interventions and the observation group receiving comprehensive nursing interventions. The treatment compliance, postoperative complications, nursing satisfaction, and quality of life were analyzed and compared between the two groups. Results: The treatment compliance rate was higher in the observation group than in the control group (P < 0.05). The total incidence of complications in the control group was higher than that in the observation group (P < 0.05). Nursing satisfaction was higher in the observation group than in the control group (P < 0.05). After nursing interventions, the quality of life score in the control group was lower than that in the observation group (P < 0.05). Conclusion: Applying comprehensive nursing interventions to children with congenital ptosis after surgery can reduce the incidence of complications, improve treatment compliance, and enhance their quality of life. This approach is worthy of promotion.
METAL ACCUMULATION ASSESSMENT IN PLANTS AND SOIL AT KUDUKU MINING SITE, NASARAWA, NIGERIA
Authors: Ilyas S. , Sabo A. , Akomolafe G. F. , Mustafa Y. S. 
Published: November 2023

Mining activities usually alter ecosystems through the disruption of the vegetations and the deposition of potentially toxic elements. This study investigated the soil pollution level and evaluated the phytoremediation potential of some native plant species on a mining site at Kuduku, which is located in Keana local government area of Nasarawa State. Plant samples and associated soils were collected from the mining site and analyzed for the presence of metals such as Pb, Cd, Cr and Mn. The Bioconcentration factor (BCF), Translocation Factor (TF) and Enrichment Factor (EF) were also analyzed. They were generally higher concentration of the heavy metal in most of the plants than in soils which indicates the ability of the plant to tolerate and accumulate these metals. Most of the investigated plants have potentials of been phytostabilizers or phytoextractors. Lead recorded the following plants as phytostabilizers; Acalypha indica. Copper had the following plants as good phytoextractors; Sida acuta, Fumaria parviflora, Triumfetta rhomboidea, Acalypha indica and Ageratum conyzoides. For Manganese, the phytoextractors includes: Calopogonium mucunoides, Fumaria parviflora, Ageratum conyzoides while phytostablizers includes: Triumfetta rhomboidea and Sida acuta. Most of the investigated plants had an enrichment factor (EF) greater than one which also emphasizes on the extent of metal uptake by the plants. For the majority of the plants investigated, their EF was greater than one except in few cases.
Faktor Adopsi Microsoft Teams Sebagai Teknologi Kolaborasi Pada Perusahaan Dengan Modifikasi UTAUT2
Authors: Tanizar Ade Lido , Gui Anderes 
Published: November 2023

Beberapa perusahaan di Indonesia telah melakukan adopsi Microsoft Teams untuk mendukung kegiatan berkolaborasi di perusahaan. Adopsi ini dilakukan sebagai langkah adaptasi selama masa pandemi Covid-19, serta selanjutnya mendukung skema hybrid-working arrangement yang diadopsi beberapa perusahaan pasca berakhirnya masa pandemi. Studi ini melakukan identifikasi atas faktor yang mempengaruhi adopsi teknologi kolaborasi yang digunakan di perusahaan, dengan pendekatan UTAUT2 yang diadopsi dengan melakukan modifikasi dengan menambahkan konstruk perceived value. Hasil yang didapatkan pada penelitian ini menunjukkan sebagian besar konstruk UTAUT2 dapat menjelaskan penerimaan adopsi teknologi kolaborasi, termasuk perceived value. Pada penelitian ini, Effort Expectancy ditemukan tidak berpengaruh signifikan pada adopsi Microsoft Teams di perusahaan.
Prediksi Harga Emas Menggunakan Metode Fuzzy Time Series
Authors: Pabutungan Robin 
Published: November 2023

Emas adalah instrument investasi yang popular dari masa ke masa karena harga emas secara terus menerus mengalami kenaikan sehingga sangat diperlukan kapan waktu untuk melakukan pembelian sehingga mengoptimalkan keuntungan dalam berinvestasi. Fuzzy time series adalah metode data mining yang dipilih untuk digunakan dalam meramalkan harga emas di masa yang akan datang karena metode ini memiliki nilai galat yang cenderung rendah. Tujuan dalam penelitian ini yaitu untuk mengetahui harga emas dimasa yang akan datang dengan menggunakan teknik data mining yaitu metode fuzzy time series dan juga menggunakan bantuan aplikasi microsoft exel. Data yang digunakan dalam penelitian ini adalah data harga emas dari bulan Juli 2012 sampai dengan Februari 2023. Hasil dari penelitian yang peroleh untuk bulan Maret 2023 untuk harga terakhir atau penutupan adalah sebesar 1.873,79 USD dengan nilai MAPE sebesar 3,20%, nilai MAE sebesar 56,03 USD dan nilai RMSE sebesar 64,13 USD. Sedangkan harga pembukaan diperoleh sebesar 1.809,60 USD dengan nilai MAPE sebesar 1,35%, nilai MAE sebesar 24,07 USD dan nilai RMSE sebesar 24,24 USD. Hasil dari nilai tersebut menunjukkan bahwa metode fuzzy time series sangat baik digunakan dalam proses peramalan harga emas.
Particle Swarm Optimization Untuk Optimasi Klasifikasi Tingkat Kepuasan Layanan Publik
Authors: Priatna Wowon 
Published: November 2023

Tujuan dari penelitian ini adalah untuk mengetahui tingkat kepuasan terhadap pelayanan yang diberikan oleh pemerintah daerah sebagai penyedia layanan publik dengan mengklasifikasikan data yang diperoleh dari survei yang dilakukan. Saat ini desa dan kelurahan telah memberikan pelayanan sesuai kebutuhan masyarakat, namun jika tidak sepenuhnya memberikan pelayanan yang optimal maka dapat menimbulkan ketidakpuasan dan merugikan masyarakat baik secara fisik maupun materil. Untuk meningkatkan kualitas layanan dan menyelesaikan keluhan pengguna layanan secara efektif, mengidentifikasi pola dan memberikan umpan balik yang tepat waktu untuk meningkatkan produk dan layanan yang diberikan, diperlukan metode klasifikasi pengguna layanan. Metode pengumpulan data pada penelitian ini menggunakan metode survei dengan menyebarkan kuesioner kepada masyarakat pengguna layanan publik di desa dan kelurahan. Data yang diperoleh dianalisis menggunakan Excel untuk mengolah data terlebih dahulu untuk membuat model klasifikasi. Pada tahap prepROCessing, data dikelompokkan untuk mendapatkan label/target sehingga data tersebut dapat diolah menggunakan algoritma klasifikasi. Klasifikasinya menggunakan algoritma Decision Tree (DT), Naïve Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (KNN). Tingkatkan klasifikasi dengan pengoptimalan fitur menggunakan Particle Pool Optimization (SPO). Penelitian ini menghasilkan nilai akurasi tertinggi pada klasifikasi pohon keputusan dengan mendapatkan nilai akurasi tertinggi sebesar 97,74%, disusul algoritma KKN memperoleh akurasi sebesar 77,90%, algoritma Naïve Bayes sebesar 64,4% dan algoritma yang memperoleh nilai akurasi terkecil adalah algoritma SVM. yaitu 59,90%. Setelah dilakukan optimasi, nilai akurasi tertinggi terdapat pada algoritma SVM dan algoritma KNN sebesar 98,3%, pohon keputusan sebesar 97,77%, dan akurasi terkecil pada algoritma Naïve Bayes sebesar 69,30%.
Studi Empiris Model BERT dan DistilBERT Analisis Sentimen pada Pemilihan Presiden Indonesia
Authors: Mahira Putri  , Sutanto Taufik Edy , Inna Suma 
Published: November 2023

Peningkatan jumlah pengguna media sosial di Indonesia sejak tahun 2014 menyebabkan data yang dihasilkan semakin besar dan kompleks, sehingga komputasi yang diperlukan untuk mengolahnya juga semakin besar. Untuk melakukan komputasi pada data yang besar diperlukan model yang kompatibel, efektif, dan efisien. Penelitian ini adalah kajian numerik dari dua model terbaik Deep Learning saat paper ini ditulis, yaitu BERT dan DistilBERT pada kasus analisis sentimen menggunakan ratusan ribu tweet terkait pemilihan presiden Indonesia tahun 2014 dan 2019. Analisis yang dilakukan meliputi waktu eksekusi dan konsumsi memori. Pada model dengan nilai hyperparameter optimal, tercatat bahwa DistilBERT melakukan proses pelatihan dan prediksi 84% lebih cepat dengan penggunaan memori GPU 79% lebih efisien dengan nilai akurasi tidak terpaut jauh, yaitu 0.89 dan 0.85 untuk BERT dan DistilBERT. Hasil kajian ini dapat digunakan untuk memperkirakan besarnya sumberdaya komputasi atau biaya yang dibutuhkan ketika menggunakan model BERT atau DistilBERT pada data yang besar.
Pengaruh Penerapan Sistem Informasi Pemerintah Daerah Terhadap Kualitas Laporan Keuangan Kota Pariaman
Authors: Firmansyah Putra  , Asmar Yulastri  , Giatman  , Ganefri  , Hansi Effendi  , Mukhlidi Muskhir  
Published: November 2023

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan sistem informasi manajemen Keuangan Daerah (SIMDA) terhadap kualitas laporan keuangan pada Pemerintah Daerah Kota Pariaman. Jenis penelitian yang dilakukan adalah penelitian deskriptif kuantitatif. Penelitian ini dilakukan dengan mengambil objek pada Pejabat dan staff Pengelola Keuangan di SKPD Kota Pariaman. Jenis data yang digunakan dalam penelitian ini adalah data primer Metode analisis yang digunakan dalam penelitian untuk mengetahui antar variabel adalah analisis regresi sederhana dan pengujian hipotesis dengan bantuan software SPSS for windows untuk mengolah data. Pengaruh penggunaan penggunaan sistem informasi daerah telah dibuktikan pada hasil analisis uji t diperoleh nilai dari t hitung sebesar 7,044 atau lebih besar dari t tabel yaitu sebesar 1.69389. Nilai signifikansi diperoleh sebesar 0,000 atau koefisien lebih kecil dengan nilai probabilitas sebesar 0,05 sehingga pengaruh dari variabel penggunaan sistem informasi daerah (X) terhadap kualitas laporan keuangan (Y). Analisis koefisien determinasi berdasarkan nilai R Square dalam penelitian ini adalah sebesar 0,590 yang berarti variabel penggunaan sistem informasi daerah mempengaruhi variabel keputusan pembelian sebesar 59%. Sedangkan sisanya 41% dipengaruhi oleh variabel lain yang diteliti.
Artificial intelligence-based analysis of time-lapse images of sphere formation and process of plate adhesion and spread of pancreatic cancer cells
Authors: Shichi Yuuki , Gomi Fujiya , Hasegawa Yasuko , Nonaka Keisuke , Shinji Seiichi , Takahashi Kimimasa , Ishiwata Toshiyuki 
Published: November 2023

Background: Most pancreatic cancers are pancreatic ductal adenocarcinomas (PDAC). Spherical morphology formed in three-dimensional (3D) cultures and the effects of anticancer drugs differ between epithelial and mesenchymal PDAC cell lines. In the human pancreas, cancer cells form 3D tumors, migrate to adjacent tissues, and metastasize to other organs. However, no effective methods exist to examine the ability of the tumor mass to migrate to surrounding tissues in vitro. We used spheres formed in 3D culture to investigate whether the migratory ability of tumors of PDAC cell lines, including epithelial and mesenchymal cell lines, varies.Methods: Sphere formation and adhesion and spread on culture plates were examined by artificial intelligence-based analysis of time-lapse imaging using five epithelial and three mesenchymal PDAC cell lines. Fused and non-fused areas of the sphere surface during sphere formation on low-attachment plates, the adhesion area to normal culture plates, and the sphere area maintaining its original form during adhesion to plates were measured.Results: Immunocytochemical staining confirmed that E-cadherin was highly expressed in epithelial PDAC spheres, as was vimentin in mesenchymal PDAC spheres, in 2D culture. When forming spheres using low-attachment plates, most epithelial PDAC cell lines initially showed decreased sphere area, and then the covering cells fused to form a smooth surface on the sphere. Mesenchymal PANC-1 and MIA PaCa-2 cells showed little reduction in sphere area and few areas of sphere surface fusion. When formed PDAC spheres were seeded onto normal culture plates, spheres of epithelial PK-8 cells—which have the highest E-cadherin expression, form numerous cysts, and have smooth sphere surfaces—did not adhere to normal plates even after 60 h, and epithelial PK45-P and T3M-4 spheres hardly adhered. Conversely, the area of adhesion and spread of mesenchymal PANC-1 and KP4 cell spheres on normal plates markedly increased from early on, forming large areas of attachment to plates.Conclusion: Seeding spheres formed in 3D culture onto culture plates can clarify differences in tumor migration potential to surrounding areas. The masses formed by each PDAC cell line varied in migratory ability, with mesenchymal PDAC masses being more migratory than epithelial PDAC masses.
Potency and durability of T and B cell immune responses after homologous and heterologous vector delivery of a trimer-stabilized, membrane-displayed HIV-1 clade ConC Env protein
Authors: Perdiguero Beatriz , Hauser Alexandra , Gómez Carmen Elena , Peterhoff David , Sideris Elefthéria , Sorzano Carlos Óscar S. , Wilmschen Sarah , Schaber Marion , Stengel Laura , Asbach Benedikt , Ding Song , Von Laer Dorothee , Levy Yves , Pantaleo Giuseppe , Kimpel Janine , Esteban Mariano , Wagner Ralf 
Published: November 2023

IntroductionThe generation of an HIV-1 vaccine able to induce long-lasting protective immunity remains a main challenge. Here, we aimed to modify next-generation soluble, prefusion-stabilized, close-to-native, glycan-engineered clade C gp140 envelope (Env) trimers (sC23v4 KIKO and ConCv5 KIKO) for optimal display on the cell surface following homologous or heterologous vector delivery.MethodsA combination of the following modifications scored best regarding the preservation of closed, native-like Env trimer conformation and antigenicity when using a panel of selected broadly neutralizing (bnAb) and non-neutralizing (nnAb) monoclonal antibodies for flow cytometry: i) replacing the natural cleavage site with a native flexible linker and introducing a single amino acid substitution to prevent CD4 binding (*), ii) fusing a heterologous VSV-G-derived transmembrane moiety to the gp140 C-terminus, and iii) deleting six residues proximal to the membrane.ResultsWhen delivering membrane-tethered sC23v4 KIKO* and ConCv5 KIKO* via DNA, VSV-GP, and NYVAC vectors, the two native-like Env trimers provide differential antigenicity profiles. Whereas such patterns were largely consistent among the different vectors for either Env trimer, the membrane-tethered ConCv5 KIKO* trimer adopted a more closed and native-like structure than sC23v4 KIKO*. In immunized mice, VSV-GP and NYVAC vectors expressing the membrane-tethered ConCv5 KIKO* administered in prime/boost combination were the most effective regimens for the priming of Env-specific CD4 T cells among all tested combinations. The subsequent booster administration of trimeric ConCv5 KIKO* Env protein preserved the T cell activation levels between groups. The evaluation of the HIV-1-specific humoral responses induced in the different immunization groups after protein boosts showed that the various prime/boost protocols elicited broad and potent antibody responses, preferentially of a Th1-associated IgG2a subclass, and that the obtained antibody levels remained high at the memory phase.DiscussionIn summary, we provide a feasible strategy to display multiple copies of native-like Env trimers on the cell surface, which translates into efficient priming of sustained CD4+ T cell responses after vector delivery as well as broad, potent, and sustained antibody responses following booster immunizations with the homologous, prefusion-stabilized, close-to-native ConCv5 KIKO* gp140 Env trimer.
Case Report: CD19 and CD20 monoclonal antibodies with sequential chemotherapy for refractory acute B-lymphocytic leukemia in children
Authors: Li Jia-Nan , Li Yu , Lin Ji-Xun , Wang Li-Na , Zhang Xiao-Li , Ouyang Juan , Chen Du-Bo , Chen Shao-Qian , Li Jun-Xun , Luo Xue-Qun , Tang Yan-Lai , Huang Li-Bin 
Published: November 2023

ObjectiveThis paper observes the efficacy of chemotherapy combined with CD19 and CD20 monoclonal antibodies in clearing minimal residual disease (MRD) and bridging transplantation for refractory acute B-lymphoblastic leukemia (B-ALL) in children and reviews the literature.MethodsA 4-year-old boy diagnosed with B-ALL in our hospital was treated with the SCCLG-ALL-2016 protocol. MRD and gene quantification decreased after induction but remained persistently positive, with poor efficacy. After this patient received three cycles of consolidation chemotherapy combined with blinatumomab and rituximab, MRD and fusion gene quantification became negative, and he received allogeneic hematopoietic stem cell transplantation (allo-HSCT).ResultsDuring the use of monoclonal antibodies, neurotoxicity, CRS, or other side effects did not occur. Before transplantation, MRD became negative, and the bone marrow had been in complete remission since transplantation (13 months).ConclusionChemotherapy combined with blinatumomab for refractory B-ALL in children can bring a better remission rate for patients and is a means of bridging transplantation. Nevertheless, sequential CD20 monoclonal antibody therapy is the first report , and no adverse effects were observed in our case. It is well tolerated and can be used as one of the treatments for refractory B-ALL.
Deep learning-based estimation of axial length using macular optical coherence tomography images
Authors: Liu Jing , Li Hui , Zhou You , Zhang Yue , Song Shuang , Gu Xiaoya , Xu Jingjing , Yu Xiaobing 
Published: November 2023

BackgroundThis study aimed to develop deep learning models using macular optical coherence tomography (OCT) images to estimate axial lengths (ALs) in eyes without maculopathy.MethodsA total of 2,664 macular OCT images from 444 patients’ eyes without maculopathy, who visited Beijing Hospital between March 2019 and October 2021, were included. The dataset was divided into training, validation, and testing sets with a ratio of 6:2:2. Three pre-trained models (ResNet 18, ResNet 50, and ViT) were developed for binary classification (AL ≥ 26 mm) and regression task. Ten-fold cross-validation was performed, and Grad-CAM analysis was employed to visualize AL-related macular features. Additionally, retinal thickness measurements were used to predict AL by linear and logistic regression models.ResultsResNet 50 achieved an accuracy of 0.872 (95% Confidence Interval [CI], 0.840–0.899), with high sensitivity of 0.804 (95% CI, 0.728–0.867) and specificity of 0.895 (95% CI, 0.861–0.923). The mean absolute error for AL prediction was 0.83 mm (95% CI, 0.72–0.95 mm). The best AUC, and accuracy of AL estimation using macular OCT images (0.929, 87.2%) was superior to using retinal thickness measurements alone (0.747, 77.8%). AL-related macular features were on the fovea and adjacent regions.ConclusionOCT images can be effectively utilized for estimating AL with good performance via deep learning. The AL-related macular features exhibit a localized pattern in the macula, rather than continuous alterations throughout the entire region. These findings can lay the foundation for future research in the pathogenesis of AL-related maculopathy.