bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Learning-Based Classification of Epileptic Electroencephalography Signals Using a Concentrated Time-Frequency Approach
Authors: Yousif Mosab A. A. , Ozturk Mahmut 
Published: September 2023

ConceFT (concentration of frequency and time) is a new time-frequency (TF) analysis method which combines multitaper technique and synchrosqueezing transform (SST). This combination produces highly concentrated TF representations with approximately perfect time and frequency resolutions. In this paper, it is aimed to show the TF representation performance and robustness of ConceFT by using it for the classification of the epileptic electroencephalography (EEG) signals. Therefore, a signal classification algorithm which uses TF images obtained with ConceFT to feed the transfer learning structure has been presented. Epilepsy is a common neurological disorder that millions of people suffer worldwide. Daily lives of the patients are quite difficult because of the unpredictable time of seizures. EEG signals monitoring the electrical activity of the brain can be used to detect approaching seizures and make possible to warn the patient before the attack. GoogLeNet which is a well-known deep learning model has been preferred to classify TF images. Classification performance is directly related to the TF representation accuracy of the ConceFT. The proposed method has been tested for various classification scenarios and obtained accuracies between 95.83% and 99.58% for two and three-class classification scenarios. High results show that ConceFT is a successful and promising TF analysis method for non-stationary biomedical signals.
An Intent Taxonomy of Legal Case Retrieval
Authors: Shao Yunqiu , Li Haitao , Wu Yueyue , Liu Yiqun , Ai Qingyao , Mao Jiaxin , Ma Yixiao , Ma Shaoping 
Published: September 2023

Legal case retrieval is a special Information Retrieval (IR) task focusing on legal case documents. Depending on the downstream tasks of the retrieved case documents, users’ information needs in legal case retrieval could be significantly different from those in Web search and traditional ad hoc retrieval tasks. While there are several studies that retrieve legal cases based on text similarity, the underlying search intents of legal retrieval users, as shown in this article, are more complicated than that yet mostly unexplored. To this end, we present a novel hierarchical intent taxonomy of legal case retrieval. It consists of five intent types categorized by three criteria, i.e., search for
Particular Case(s)
,
Characterization
,
Penalty
,
Procedure
, and
Interest
. The taxonomy was constructed transparently and evaluated extensively through interviews, editorial user studies, and query log analysis. Through a laboratory user study, we reveal significant differences in user behavior and satisfaction under different search intents in legal case retrieval. Furthermore, we apply the proposed taxonomy to various downstream legal retrieval tasks, e.g., result ranking and satisfaction prediction, and demonstrate its effectiveness. Our work provides important insights into the understanding of user intents in legal case retrieval and potentially leads to better retrieval techniques in the legal domain, such as intent-aware ranking strategies and evaluation methodologies.
Automated Buffer Sizing of Dataflow Applications in a High-level Synthesis Workflow
Authors: Honorat Alexandre , Dardaillon Mickaël , Miomandre Hugo , Nezan Jean-François 
Published: September 2023

High-Level Synthesis (HLS) tools are mature enough to provide efficient code generation for computation kernels on FPGA hardware. For more complex applications, multiple kernels may be connected by a dataflow graph. Although some tools, such as Xilinx Vitis HLS, support dataflow directives, they lack efficient analysis methods to compute the buffer sizes between kernels in a dataflow graph. This article proposes an original method to safely approximate such buffer sizes. The first contribution computes an initial overestimation of buffer sizes without knowing the memory access patterns of kernels. The second contribution iteratively refines those buffer sizes, thanks to cosimulation. Moreover, the article introduces an open source framework using these methods to facilitate dataflow programming on FPGA using HLS. The proposed methods and framework have been tested on seven dataflow applications and outperform Vitis HLS cosimulation in five benchmarks, either in terms of BRAM and LUT usage, or in terms of exploration time. In the two other benchmarks, our best method gets results similar to Vitis HLS. Last but not least, our method admits directed cycles in the application graphs.
A Classical Architecture for Digital Quantum Computers
Authors: Zhang Fang , Zhu Xing , Chao Rui , Huang Cupjin , Kong Linghang , Chen Guoyang , Ding Dawei , Feng Haishan , Gao Yihuai , Ni Xiaotong , Qiu Liwei , Wei Zhe , Yang Yueming , Zhao Yang , Shi Yaoyun , Zhang Weifeng , Zhou Peng , Chen Jianxin 
Published: September 2023

Scaling bottlenecks the making of digital quantum computers, posing challenges from both the quantum and the classical components. We present a classical architecture to cope with a comprehensive list of the latter challenges
all at once
, and implement it fully in an end-to-end system by integrating a multi-core RISC-V CPU with our in-house control electronics.

Our architecture enables scalable, high-precision control of large quantum processors and accommodates evolving requirements of quantum hardware. A central feature is a microarchitecture executing quantum operations in parallel on arbitrary predefined qubit groups. Another key feature is a reconfigurable quantum instruction set that supports easy qubit re-grouping and instructions extensions.
As a demonstration, we implement the widely-studied surface code quantum computing workflow, which is instructive for being demanding on both the controllers and the integrated classical computation. Our design, for the first time, reduces instruction issuing and transmission costs to constants, which do not scale with the number of qubits, without adding any overheads in decoding or dispatching.

Our system uses a dedicated general-purpose CPU for both qubit control and classical computation, including syndrome decoding. Implementing recent theoretical proposals as decoding firmware that parallelizes general inner decoders, we can achieve unprecedented decoding capabilities of up to distances 47 and 67 with the currently available systems-on-chips for physical error rate
p
= 0.001 and
p
= 0.0001, respectively, all in just 1 μs.
Gene–Environment Analyses Reveal Novel Genetic Candidates with Prenatal Tobacco Exposure in Relation to Risk for Childhood Acute Lymphoblastic Leukemia
Authors: Zhong Charlie , Li Shaobo , Arroyo Katti , Morimoto Libby M. , de Smith Adam J. , Metayer Catherine , Ma Xiaomei , Kogan Scott C. , Gauderman W. James , Wiemels Joseph L. 
Published: September 2023

Abstract

Background:
Associations between maternal tobacco exposure during pregnancy and childhood acute lymphoblastic leukemia (ALL) have yielded mixed results. This may be due to biases in self-reported smoking or other differences in individual-level risk factors. We utilized a biological marker of maternal tobacco exposure to evaluate the association between maternal tobacco exposure during pregnancy, genetics, and subsequent childhood ALL risk in two large population-based studies of childhood ALL in California.

Methods:
Maternal exposure to tobacco smoke was assessed with a validated methylation marker (cg05575921) of the aryl hydrocarbon receptor repressor (AHRR) gene in newborn dried blood spots. We adjusted for sex, birthweight, gestational age, mode of delivery, year of birth, AHRR quantitative trait locus (mQTL) rs77111113, and a polygenetic risk score for childhood ALL. We additionally adjusted for principal components in a gene–environment interaction testing method that incorporates gene-only and environment-only effects along with interactions.

Results:
AHRR hypomethylation overall was not associated with childhood ALL. In gene–environment interaction testing, several genetic variants displayed significant interaction with AHRR hypomethylation and childhood ALL.

Conclusions:
Our results suggest that novel candidates in PTPRK and DPP6 may play a role in tobacco-related leukemogenesis. Further research is necessary to better understand the effects of tobacco and these variants on childhood ALL risk.

Impact:
Despite the lack of an overall “main effect,” tobacco exposure during pregnancy affects childhood ALL risk depending on specific genetic variants.
Clinical Behavior and Molecular Landscape of Stage I p53-Abnormal Low-Grade Endometrioid Endometrial Carcinomas
Authors: Jamieson Amy , Vermij Lisa , Kramer Claire J.H. , Jobsen Jan J. , Jürgemlienk-Schulz Ina , Lutgens Ludy , Mens Jan Willem , Haverkort Marie A.D. , Slot Annerie , Nout Remi A. , Oosting Jan , Carlson Joseph , Howitt Brooke E. , Ip Philip P.C. , Lax Sigurd F. , McCluggage W. Glenn , Singh Naveena , McAlpine Jessica N. , Creutzberg Carien L. , Horeweg Nanda , Gilks C. Blake , Bosse Tjalling 
Published: September 2023

Abstract

Purpose:
The clinical significance of the p53-abnormal (p53abn) molecular subtype in stage I low-grade endometrioid endometrial carcinoma (EEC) is debated. We aimed to review pathologic and molecular characteristics, and outcomes of stage I low-grade p53abn EEC in a large international cohort.

Experimental Design:
Previously diagnosed stage I p53abn EC (POLE–wild-type, mismatch repair–proficient) low-grade EEC from Canadian retrospective cohorts and PORTEC-1&2 trials were included. Pathology review was performed by six expert gynecologic pathologists blinded to p53 status. IHC profiling, next-generation sequencing, and shallow whole-genome sequencing was performed. Kaplan–Meier method was used for survival analysis.

Results:
We identified 55 stage I p53abn low-grade EEC among 3,387 cases (2.5%). On pathology review, 17 cases (31%) were not diagnosed as low-grade EEC by any pathologists, whereas 26 cases (47%) were diagnosed as low-grade EEC by at least three pathologists. The IHC and molecular profile of the latter cases were consistent with low-grade EEC morphology (ER/PR positivity, patchy p16 expression, PIK3CA and PTEN mutations) but they also showed features of p53abn EC (TP53 mutations, many copy-number alterations). These cases had a clinically relevant risk of disease recurrence (5-year recurrence-free survival 77%), with pelvic and/or distant recurrences observed in 12% of the patients.

Conclusions:
A subset of p53abn EC is morphologically low-grade EEC and exhibit genomic instability. Even for stage I disease, p53abn low-grade EEC are at substantial risk of disease recurrence. These findings highlight the clinical relevance of universal p53-testing, even in low-grade EEC, to identify women at increased risk of recurrence.
Olaparib and Ceralasertib (AZD6738) in Patients with Triple-Negative Advanced Breast Cancer: Results from Cohort E of the plasmaMATCH Trial (CRUK/15/010)
Authors: Ring Alistair , Kilburn Lucy S. , Pearson Alex , Moretti Laura , Afshari-Mehr Angelica , Wardley Andrew M. , Gurel Bora , Macpherson Iain R. , Riisnaes Ruth , Baird Richard D. , Martin Sue , Roylance Rebecca , Johnson Hannah , Ferreira Ana , Winter Matthew C. , Dunne Kathryn , Copson Ellen , Hickish Tamas , Burcombe Russell , Randle Kat , Serra Violeta , Llop-Guevara Alba , Bliss Judith M. , Turner Nicolas C. 
Published: September 2023

Abstract

Purpose:
Approximately 10% to 15% of triple-negative breast cancers (TNBC) have deleterious mutations in BRCA1 and BRCA2 and may benefit from PARP inhibitor treatment. PARP inhibitors may also increase exogenous replication stress and thereby increase sensitivity to inhibitors of ataxia telangiectasia and Rad3-related (ATR) protein. This phase II study examined the activity of the combination of PARP inhibitor, olaparib, and ATR inhibitor, ceralasertib (AZD6738), in patients with advanced TNBC.

Patients and Methods:
Patients with TNBC on most recent biopsy who had received 1 or 2 lines of chemotherapy for advanced disease or had relapsed within 12 months of (neo)adjuvant chemotherapy were eligible. Treatment was olaparib 300 mg twice a day continuously and celarasertib 160 mg on days 1–7 on a 28-day cycle until disease progression. The primary endpoint was confirmed objective response rate (ORR). Tissue and plasma biomarker analyses were preplanned to identify predictors of response.

Results:
70 evaluable patients were enrolled. Germline BRCA1/2 mutations were present in 10 (14%) patients and 3 (4%) patients had somatic BRCA mutations. The confirmed ORR was 12/70; 17.1% (95% confidence interval, 10.4–25.5). Responses were observed in patients without germline or somatic BRCA1/2 mutations, including patients with mutations in other homologous recombination repair genes and tumors with functional homologous recombination deficiency by RAD51 foci.

Conclusions:
The response rate to olaparib and ceralasertib did not meet prespecified criteria for activity in the overall evaluable population, but responses were observed in patients who would not be expected to respond to olaparib monotherapy.
Site-Specific Dolasynthen Antibody–Drug Conjugates Exhibit Consistent Pharmacokinetic Profiles across a Wide Range of Drug-to-Antibody Ratios
Authors: Clardy Susan M. , Uttard Alex , Du Bingfan , Catcott Kalli C. , Lancaster Kelly L. , Ditty Elizabeth , Sadowsky Jack , Zurita Jeffrey , Malli Naniye , Qin LiuLiang , Bradley Stephen P. , Avocetien Kenneth , Carter Tyler , Kim Dokyong , Nazzaro Mark , Xu Ling , Pillow Thomas H. , Zacharias Neelie T. , Lewis Gail D. , Rowntree Rebecca K. , Iyengar Radha , Lee David H. , Damelin Marc , Toader Dorin , Lowinger Timothy B. 
Published: September 2023

Abstract
Key defining attributes of an antibody–drug conjugate (ADC) include the choice of the targeting antibody, linker, payload, and the drug-to-antibody ratio (DAR). Historically, most ADC platforms have used the same DAR for all targets, regardless of target characteristics. However, recent studies and modeling suggest that the optimal DAR can depend on target expression level and intratumoral heterogeneity, target internalization and trafficking, and characteristics of the linker and payload. An ADC platform that enables DAR optimization could improve the success rate of clinical candidates. Here we report a systematic exploration of DAR across a wide range, by combining THIOMAB protein engineering technology with Dolasynthen, an auristatin-based platform with monomeric and trimeric variants. This approach enabled the generation of homogeneous, site-specific ADCs spanning a discrete range of DARs 2, 4, 6, 12, and 18 by conjugation of trastuzumab IgG1 THIOMAB constructs with 1, 2, or 3 engineered cysteines to monomeric or trimeric Dolasynthen. All ADCs had physicochemical properties that translated to excellent in vivo pharmacology. Following a single dose of ADCs in a HER2 xenograft model with moderate antigen expression, our data demonstrated comparable pharmacokinetics for the conjugates across all DARs and dose-dependent efficacy of all test articles. These results demonstrate that the Dolasynthen platform enables the generation of ADCs with a broad range of DAR values and with comparable physiochemical, pharmacologic, and pharmacokinetics profiles; thus, the Dolasynthen platform enables the empirical determination of the optimal DAR for a clinical candidate for a given target.
Treatment of Traumatic Direct Carotid Cavernous Fistula With a PK Papyrus Covered Stent: A Report of 2 Cases
Authors: Wroe William W. , Zeineddine Hussein A. , Dawes Bryden H. , Martinez‐Gutierrez Juan Carlos , Shah Malay , Spiegel Gary , Arain Salman , Blackburn Spiros L 
Published: September 2023

Background
Traumatic direct carotid cavernous fistulas results in a direct communication between the internal carotid artery and the cavernous
sinus. Covered stents are not frequently used in neuro‐endovascular procedures due to concerns primarily about occlusion of
perforating vessels. There are however several factors in direct carotid cavernous fistulas that make it more amenable to covered stenting than other diseases treated endovascularly.

Methods
Wepresent 2 cases of occlusion of traumatic direct carotid cavernous fistulas utilizing the PK Papyrus stent.

Results
In our first case, this device was successfully used as a salvage technique afterfailure of conventional techniques and in the second case it was used as primary treatment.

Conclusion
The properties of the PK Papyrus covered stent are promising in overcoming the difficulties of other covered stents and warrants further investigation.
Living Capsules: Reflections on an Ongoing Art-Sociology Collaboration
Authors: Barker Ned , Burd Joana 
Published: September 2023

Abstract
Living Capsules is the umbrella name the authors give their art pieces, which are born from an ongoing collaboration between an artist and a sociologist who share interest in the relations between senses, bodies, and technologies. This reflective paper tells the story of the works’ cocreation. The authors first introduce the notion of biohybrid systems as their sociotechnical inspiration. Second, they mark out the conceptual space in which they began to prototype Living Capsules. Third, they reflect on how and why they blend their disciplinary practices. And finally, they share and discuss prototype pieces, sketching future directions for their continued collaboration.
Designing a Long-Structure NFT Generative Art Project: Catharsis As a Case Study
Authors: Lanza Dario 
Published: September 2023

Abstract
For decades considered a fringe artistic discipline, generative art has in recent years piqued an unusual amount of interest due to its integration with blockchain technology, which has given rise to new ways of designing, generating, acquiring, and collecting generative artworks. This article presents, by way of a chronicle, the author’s process in designing and creating a long-form generative project entitled Catharsis, from its conceptual genesis through the challenges and innovations it presented upon its public launch in September 2022, with a view to offering a guide that may inspire future generative artists or scholars.
Shanshui Journey: Using AI to Reproduce the Experience of Chinese Literati Ink Paintings
Authors: Le Zhou Aven , Zhang Kang 
Published: September 2023

Abstract
The authors investigate Chinese shanshui (literally, “mountain and water”), ink paintings of the natural landscape, through an interactive art installation entitled Shanshui Journey. By examining shanshui’s philosophy, multiple moving perspectives, and creation and appreciation practices, the work emphasizes motion in nature, memories, and interactive appreciation. These concepts are realized in a digitized room, where each participant’s motion is captured as a line “sketch” and transformed into an ink painting via a custom neural network. Generated paintings are displayed in real time alongside previous works, collectively termed Shanshui Memories, mimicking handscroll interaction. The authors’ approach to shanshui aims to reproduce the Chinese literati art experience, and to raise awareness of this cultural heritage.
Information-Theoretic Neural Decoding Reproduces Several Laws of Human Behavior
Authors: Christie S. Thomas , Johnson Hayden R. , Schrater Paul R. 
Published: September 2023

Abstract
Human response times conform to several regularities including the Hick-Hyman law, the power law of practice, speed-accuracy trade-offs, and the Stroop effect. Each of these has been thoroughly modeled in isolation, but no account describes these phenomena as predictions of a unified framework. We provide such a framework and show that the phenomena arise as decoding times in a simple neural rate code with an entropy stopping threshold. Whereas traditional information-theoretic encoding systems exploit task statistics to optimize encoding strategies, we move this optimization to the decoder, treating it as a Bayesian ideal observer that can track transmission statistics as prior information during decoding. Our approach allays prominent concerns that applying information-theoretic perspectives to modeling brain and behavior requires complex encoding schemes that are incommensurate with neural encoding.
On the Relation Between Cross-Linguistic Influence, Between-Language Priming and Language Proficiency: Priming of Ungrammatical Adjective Placement in Bilingual Spanish-Dutch and French-Dutch Children
Authors: van Dijk Chantal , Unsworth Sharon 
Published: September 2023

AbstractAfter hearing a structure in one language, bilinguals are more likely to produce the same structure in their other language. Such between-language priming is often interpreted as evidence for shared syntactic representations between a bilingual’s two languages and is positively related to proficiency. Recently, shared syntactic structures and structural priming have been invoked to explain cross-linguistic influence in bilingual children. This paper examines the relation between cross-linguistic influence, between-language priming and language proficiency. Almost all studies on between-language priming have focussed on grammatical structures. However, cross-linguistic influence has also been found to result in ungrammatical structures. In this study, we investigated whether ungrammatical adjective placement can be primed from a Germanic language to a Romance language and vice versa, and how to best account for any such priming. Furthermore, we examined the role of proficiency in explaining priming effects and whether this fits with an error-based learning account. Our results show that it is possible to prime ungrammatical structures, that this is lexically constrained, and that it is more likely to occur at lower levels of proficiency. We argue that the same mechanisms underlying grammatical priming can also explain our findings of ungrammatical priming.
Ecstasies of Uplift
Authors: Jackson Myron 
Published: September 2023

Abstract
“Religion is the decoration of life,” declares Peter Sloterdijk in his newly translated Making the Heavens Speak: Religion as Poetry (MHS), arguing that much of our understanding of the spiritual life is distorted and exceptionally narrow. With refreshing and renewed vision, this text points out the ways in which the heavenly skies have been a source of divine inspiration and cipher for theopoetic illuminations. We have failed to grasp how modern secularization, ironically, was a blessing in disguise for religion since it helped to unscrew any religious authorities from the burden of needing to associate with or justify their existence through some national, political, or identity-based associations and cultural traditions. Either as a stroke of good fortune or just a contingent set of circumstances, Sloterdijk argues that religion has benefited from secularization—in becoming “useless,” religious practices have been liberated or “emancipated” from the burden of being politicized, nationalized, or mythologized.
Revisiting Urban Secularism
Authors: Martínez-Ariño Julia 
Published: September 2023

Abstract
In this piece, I revisit my work in Urban Secularism by addressing the main critical points raised by five generous critics. These concern issues about the theoretical framing of the book, its methodological design and implementation as well as points concerning the findings of the book and some aspects that would have required more attention, such as the relevance of the far-right, race and class in urban secular politics. In the last section of this piece, I take on the invitation of two of the commentators to explore new questions that arise from their reading of the book.