Response to Comment on “Unique in the shopping mall: On the reidentifiability of credit card metadata” by de Montjoye, Yves-Alexandre, Pentland, Alex

“…The synthetic data set that they “successfully anonymize” bears no resemblance to modern high-dimensional data sets on which their methods fail. …”
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A three-membered diazo-aluminum heterocycle to access an Al=C π bonding species by Yan, Chenting, Kinjo, Rei

“…An X-ray study shows that the anionic part of 5 bears a considerable short exocyclic Al-C bond, and computational studies involving molecular orbital and natural bond orbital analysis indicate the Al=C π bonding character. …”
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Mill before Liberalism (parts I and II) by Ghosh, P

Natural language processing in urology: automated extraction of clinical information from histopathology reports of uro-oncology procedures by Huang, Honghong, Lim, Fiona Xin Yi, Gu, Gary Tianyu, Han, Matthew Jiangchou, Fang, Andrew Hao Sen, Chia, Elian Hui San, Bei, Eileen Yen Tze, Tham, Sarah Zhuling, Ho, Henry Sun Sien, Yuen, John Shyi Peng, Sun, Aixin, Lim, Jay Kheng Sit

“…Methods: Our algorithm employs a combination of a rule-based approach and support vector machines/neural networks (BioBert/Clinical BERT), and is optimised for accuracy. …”
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Lane formation and aggregation spots in a model of ants by Bruna, M, Burger, M, de Wit, O

A low-power IoT platform based smart plug for smart home system by Yang, Huan

“…Presently, there are three most popular wireless communication technologies including Bluetooth, ZigBee, and Wi-Fi which are adopted in the intelligent home system. …”
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TFIDF meets deep document representation : a re-visit of co-training for text classification by Chen, Zhiwei

“…In this paper, we conduct exper- iments to evaluate the effectiveness of co-training with different combina- tions of document representations (e.g., TFIDF, Doc2vec, ELMo, BERT) and classifiers (e.g., SVM, Random Forest, XGBoost, MLP, and CNN) on two benchmark datasets (20 Newsgroup and Ohsumed). …”
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Regression analysis ofr characterization of materials for photovoltaic cells by Vundavalli, Bala Satya Manikanta

“…The traditional Design-of-Experiments (DoEs) adapted so far, are slow and the information obtained sometimes bears little relevance to optimizing the key performance parameters of merit. …”
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De novo genome sequence assembly of the RNAi-tractable endosymbiosis model system Paramecium bursaria 186b reveals factors shaping intron repertoire by Leonard, G, Jenkins, BH, Savory, FR, Kilias, ES, Maguire, F, Varma, V, Milner, DS, Richards, TA

Spam and scam detection through text analysis by Prawira, Nathania Anggraini

“…The experimental model comparison was made between the integration of a single and multiple classifiers in BERT model. Some programming modules, such as, PyTorch, Scikit-Learn, Keras, spaCy and Natural Language Toolkit (NLTK) were widely used in this experiment.…”
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Large scale paired antibody language models by Kenlay, H, Dreyer, FA, Kovaltsuk, A, Miketa, D, Pires, D, Deane, CM

“…To address this challenge, we present IgBert and IgT5, the best performing antibody-specific language models developed to date which can consistently handle both paired and unpaired variable region sequences as input. …”

Presence of host-seeking Ixodes ricinus and their infection with Borrelia burgdorferi sensu lato in the Northern Apennines, Italy by Ragagli, C, Mannelli, A, Ambrogi, C, Bisanzio, D, Ceballos, LA, Grego, E, Martello, E, Selmi, M, Tomassone, L

A highly strained Al-Al σ-bond in dianionic aluminum analog of oxirane for molecule activation by Koshino, Kota, Kinjo, Rei

“…Since aluminum is the most electropositive element among the p-block elements, the construction of molecules bearing a dianionic Al-Al σ-bond is inherently highly challenging. …”
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Chinese poem generation using natural language processing by Wang, Jihan

“…Additionally, auxiliary functions were developed, including a sequence-to-sequence model to facilitate classical and modern Chinese translation for users to better comprehend classical Chinese, and a BERT model for keyword extraction to aid users' understanding of the text. …”
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Federated learning for natural language processing in medical domain by Saraf, Ishita

“…The study compares the performance of centralized training and federated learning for fine-tuning a BERT-based conversational agent on a medical conversation dataset, serving as a stepping-stone for future research into federated learning for LLM-led NLP applications.…”
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Creating functionally graded concrete materials with varying 3D printing parameters by Tay, Daniel Yi Wei, Lim, Jian Hui, Li, Mingyang, Tan, Ming Jen

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Carbon-semiconductor hybrid nanostructures and their photoresponse behaviors by Zhan, Zhaoyao

“…Carbon nanomaterials are unique in terms of structure, carbon nanotube (CNT) bears a hollow one-dimensional structure; and graphene is an one-atom-thick sheet and has extremely high specific surface area; both of them are presenting excellent charge transport capability. …”
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Hierarchical document representation for summarization by Tey, Rui Jie

“…HIWESTSUM is very light in weight with parameter size over 10 times smaller than current existing models that fine-tune BERT for summarization. Moreover, the proposed model is faster than SOTA models with shorter training and inference time. …”
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Development of an API for EDU segmentation by Liu, Qingyi

“…This is done by finetuning pretrained models such as BERT as well as using the PosTag embeddings as additional input features. …”
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A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs by Mao, X, Huang, Y, Jin, Y, Wang, L, Chen, X, Liu, H, Yang, X, Xu, H, Luan, X, Xiao, Y, Feng, S, Zhu, J, Zhang, X, Jiang, R, Zhang, S, Chen, T

“…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. …”