Sentiment Analysis of German Texts in Finance: Improving and Testing the BPW Dictionary by Matthias Pöferlein

“… (2019b), the first finance-related dictionary is available for the German language. Because of the novelty of this dictionary, this paper proposes several reforms and extensions of the original word lists. …”
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“Be Proud, and Loud”: Linguistic Markers of Pride in Drag Queens’ Spoken Discourse by Natacha Marjanovic

“…Many studies have shown how drag queens blur the boundaries between genders and identities through their performances and their language, thereby disturbing the political status quo on binary gender. …”
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Late remission in diabetes mellitus type 1. Presentation of a case. by Hiussymin Marchena Morera, Alina Esther González Hermida, Yanet Fragoso Cordero

“…<span style="language: es"><p>Diabetes mellitus type I is a chronic disease in which the deficit of insulin constitutes the fundamental element; its partial or total remission is frequently close to the moment of its premiere; reports of late remission don't exist which suggest that it is less frequent. …”
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Curriculum Interpretation and Learners’ Attainment of Reading Skills in Uganda a Case of Selected Districts in Acholi Sub-Region by Sammy, Godfrey Poro, Eton, Marus, Andrew Peter Yiga, Julius, Caesar Enon, Fabian, Mwosi

“…Emphasizing instruction in local languages in government primary schools disadvantages learners when it comes to preparation for Primary Leaving Examinations. …”
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Automatic Recognition of Authors Identity in Persian based on Systemic Functional Grammar by Fatemeh Soltanzadeh, Azadeh Mirzaei, Mohammad Bahrani, Shahram Modarres Khiabani

“…SFG conceptualizes language as a network of systems, or interrelated sets of options for creating meaning. …”
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Klasifikasi Laporan Keluhan Pelayanan Publik Berdasarkan Instansi Menggunakan Metode LDA-SVM by Muhammad Alkaff, Andreyan Rizky Baskara, Irham Maulani

“…Therefore, we need a solution that can automatically determine the report's context using Natural Language Processing techniques. This study aims to build automatic report classifications based on report topics addressed to authorized agencies by combining Latent Dirichlet Allocation (LDA) and Support Vector Machine (SVM). …”
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Virtual Reality Interventions for Older Adults With Mild Cognitive Impairment: Systematic Review and Meta-Analysis of Randomized Controlled Trials by Qin Yang, Liuxin Zhang, Fangyuan Chang, Hongyi Yang, Bin Chen, Zhao Liu

“…However, the effects of the intervention were very small in terms of general cognitive function, language proficiency, visuospatial abilities, depression, daily living ability, muscle performance, and gait and balance. …”
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Revealing the Neuroimaging Mechanism of Acupuncture for Poststroke Aphasia: A Systematic Review by Boxuan Li, Shizhe Deng, Bomo Sang, Weiming Zhu, Bifang Zhuo, Menglong Zhang, Chenyang Qin, Yuanhao Lyu, Yuzheng Du, Zhihong Meng

“…Two studies reported the instant acupuncture effect, and 14 studies reported the constant acupuncture’s effect on poststroke aphasia patients. 5 studies analyzed the correlation between the neuroimaging outcomes and the clinical language scales. Conclusion. In this systematic review, we found that the mechanism of acupuncture’s effect might be associated with the activation and functional connectivity of language-related brain areas, such as brain areas around Broca’s area and Wernicke’s area in the left inferior temporal gyrus, supramarginal gyrus, middle frontal gyrus, and inferior frontal gyrus. …”
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Digital Information Exchange Between the Public and Researchers in Health Studies: Scoping Review by Nazli Soltani, Thilo Dietz, Doris Ochterbeck, Jens Dierkes, Katja Restel, Lara Christianson, Karina Karolina De Santis, Hajo Zeeb

“…The main barriers were that information exchange was not planned or not feasible due to inadequate resources, highly complex technical language was used, and ethical concerns (eg, breach of anonymity if study participants are brought together) were raised. …”
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Teknik Identifikasi Fitur Berdasarkan Kalimat Pernyataan Kebutuhan dalam Konteks Pengembangan Software Product Line by M Syauqi Haris, Tri Astoto Kurniawan

“…The pattern of writing a requirement sentence with boilerplate requirements is used as the basis for automatically identifying software features using natural language processing (NLP) tools. In this research, 4 (four) dependency parser rules are proposed, which is one of the pipelines in NLP. …”
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Observations on old Serbian terminology for iron mining and processing: Želězo and gvozdje by Loma Aleksandar B.

“…Its only mention in a text written in Old Serbian spoken language is found in Dušan’s Code; the article in question deals with the ordeal of red-hot iron and has a close phraseological match in the Russian Justice manuscript, which suggests that its wording goes back to an oral formula of Slavic customary law. …”
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Co-producing a safe mobility and falls informatics platform to drive meaningful quality improvement in the hospital setting: a mixed-methods protocol for the insightFall study by Ben Glampson, Clare Leon-Villapalos, Erik Mayer, Rachael Lear, Phoebe Averill, Catalina Carenzo, Rachel Tao, Robert Latchford

“…Based on these initial insights and further consultation with lay partners and clinical staff, a final data extraction template will be agreed. Natural language processing pipelines will be co-produced, clinically validated and integrated with QlikView. …”
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RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning by Ahmed Sharshar, Muhammad Sharshar, Hosam Elhady, Ahmed Aboeitta, Youssef Nafea, Yasser Ashraf, Mohammad Yaqub, Mohsen Guizani

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Analisis Sentimen Berbahasa Inggris Dengan Metode Lstm Studi Kasus Berita Online Pariwisata Bali by Ngakan Made Krisna Sedana, I Nyoman Saputra Wahyu Wijaya, I Ketut Resika Arthana

“…However, sentiment analysis of English-language tourism news often faces challenges, especially due to the complexity of the language and the imbalance of sentiment data. …”
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Rancang Bangun Sistem Try Out Berbasis Paperless untuk Evaluasi Hasil Belajar Siswa dengan MVC by Ramadhan Rakhmat Sani, Defri Kurniawan

“…For system modeling languages use UML (Unified Modeling Language) which consists of use case diagrams, sequential diagrams and database modeling. …”
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Identification of Behavioral, Clinical, and Psychological Antecedents of Acute Stimulant Poisoning: Development and Implementation of a Mixed Methods Psychological Autopsy Study by Marley Antolin Muñiz, Vanessa M McMahan, Xochitl Luna Marti, Sarah Brennan, Sophia Tavasieff, Luke N Rodda, James Knoll, Phillip O Coffin

“…Based on feedback during recruitment, we adapted language to improve rapport, including changing the term “accidental death” to “premature death,” offering condolences, and providing content warnings. …”
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Effect of home environment on neuropsychiatric development in preterm infants discharged from NICU at 18 months corrected age by Yuan Tian, Chuncao Zhang, Li Shen, Haifeng Jiang, Feng Liu, Jinjin Chen, Xia Hong

“…The developmental quotient scores at 18 months corrected age were in the middle of the scale. The language domain had the highest rate of developmental delay (46.182%), followed by the adaptive domain (37.091%). …”
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Positional embeddings and zero-shot learning using BERT for molecular-property prediction by Medard Edmund Mswahili, JunHa Hwang, Jagath C. Rajapakse, Kyuri Jo, Young-Seob Jeong

“…Next, for each PE, we fine-tune the best-performing BERT (masked language modeling) model on downstream tasks for molecular-property prediction. …”
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The Undocumented Experience by Izah Tahir

“…My parents had left the culture they knew, a language they understood, and family they loved, and all of it was so I could now reap the benefits of living in America. …”
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A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs by Xiaohao Mao, Yu Huang, Ye Jin, Lun Wang, Xuanzhong Chen, Honghong Liu, Xinglin Yang, Haopeng Xu, Xiaodong Luan, Ying Xiao, Siqin Feng, Jiahao Zhu, Xuegong Zhang, Rui Jiang, Shuyang Zhang, Ting Chen

“…PhenoBrain utilizes a BERT-based natural language processing model to extract phenotypes from clinical texts in EHRs and employs five new diagnostic models for differential diagnoses of rare diseases. …”
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