cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
BUILDABILITY AND MECHANICAL PERFORMANCE OF ARCHITECTURED CEMENT-BASED MATERIALS FABRICATED USING A DIRECT-INK-WRITING PROCESS
Creators: name: Moini, Mohamadreza
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Civil engineering not elsewhere classified
Materials engineering not elsewhere classified

description: Additive Manufacturing (AM) allows for the creation of elements with novel forms and functions. Utilizing AM in development of components of civil infrastructure allows for achieving more advanced, innovative, and unique performance characteristics. The research presented in this dissertation is focused on development of a better understanding of the fabrication challenges and opportunities in AM of cement-based materials. Specifically, challenges related to printability and opportunities offered by 3D-printing technology, including ability to fabricate intricate structures and generate unique and enhanced mechanical responses have been explored. Three aspects related to 3D-printing of cement-based materials were investigated. These aspects include: fresh stability of 3D-printed elements in relation to materials rheological properties, microstructural characteristics of the interfaces induced during the 3D-printing process, and the mechanical response of 3D-printed elements with bio-inspired design of the materials’ architecture. This research aims to contribute to development of new pathways to obtain stability in freshly 3D-printed elements by determining the rheological properties of material that control the ability to fabricate elements in a layer-by-layer manner, followed by the understanding of the microstructural features of the 3D-printed hardened cement paste elements including the interfaces and the pore network. This research also introduces a new approach to enhance the mechanical response of the 3D-printed elements by controlling the spatial arrangement of individual filaments (i.e., materials’ architecture) and by harnessing the weak interfaces that are induced by the 3D-printing process.
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
Creators: name: Xu, Xiang
name: Kong, Lingdong
name: Shuai, Hui
name: Liu, Qingshan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: LiDAR segmentation has become a crucial component of advanced autonomous driving systems. Recent range-view LiDAR segmentation approaches show promise for real-time processing. However, they inevitably suffer from corrupted contextual information and rely heavily on post-processing techniques for prediction refinement. In this work, we propose FRNet, a simple yet powerful method aimed at restoring the contextual information of range image pixels using corresponding frustum LiDAR points. First, a frustum feature encoder module is used to extract per-point features within the frustum region, which preserves scene consistency and is critical for point-level predictions. Next, a frustum-point fusion module is introduced to update per-point features hierarchically, enabling each point to extract more surrounding information through the frustum features. Finally, a head fusion module is used to fuse features at different levels for final semantic predictions. Extensive experiments conducted on four popular LiDAR segmentation benchmarks under various task setups demonstrate the superiority of FRNet. Notably, FRNet achieves 73.3% and 82.5% mIoU scores on the testing sets of SemanticKITTI and nuScenes. While achieving competitive performance, FRNet operates 5 times faster than state-of-the-art approaches. Such high efficiency opens up new possibilities for more scalable LiDAR segmentation. The code has been made publicly available at https://github.com/Xiangxu-0103/FRNet.
description: TIP 2025; 18 pages, 11 figures, 14 tables; Code at https://github.com/Xiangxu-0103/FRNet
Extracting the speed of sound in quark-gluon plasma with ultrarelativistic lead-lead collisions at the LHC
Creators: name: CMS Collaboration
Publisher: name: arXiv
Year: 2024
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Ultrarelativistic nuclear collisions create a strongly interacting state of hot and dense quark-gluon matter that exhibits a remarkable collective flow behavior with minimal viscous dissipation. To gain deeper insights into its intrinsic nature and fundamental degrees of freedom, we determine the speed of sound in an extended volume of quark-gluon plasma using lead-lead (PbPb) collisions at a center-of-mass energy per nucleon pair of 5.02 TeV. The data were recorded by the CMS experiment at the CERN LHC and correspond to an integrated luminosity of 0.607 nb$^{-1}$. The measurement is performed by studying the multiplicity dependence of the average transverse momentum of charged particles emitted in head-on PbPb collisions. Our findings reveal that the speed of sound in this matter is nearly half the speed of light, with a squared value of 0.241 $\pm$ 0.002 (stat) $\pm$ 0.016 (syst) in natural units. The effective medium temperature, estimated using the mean transverse momentum, is 219 $\pm$ 8 (syst) MeV. The measured squared speed of sound at this temperature aligns precisely with predictions from lattice quantum chromodynamic (QCD) calculations. This result provides a stringent constraint on the equation of state of the created medium and direct evidence for a deconfined QCD phase being attained in relativistic nuclear collisions.
description: Replaced to correct one number in the previous version. All the figures and tables, including additional supplementary figures, can be found at http://cms-results.web.cern.ch/cms-results/public-results/publications/HIN-23-003 (CMS Public Pages)
Untimely Reflections on Nietzsche's Notions of Nature, Society, and the Self
Creators: name: Mollison, James A
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Philosophy not elsewhere classified
History of philosophy

description: While Nietzsche is known as a virulent opponent of conventional morality, the critical dimension of his philosophy cannot be divorced from his novel understandings of nature, society, and the self. This dissertation clarifies Nietzsche’s treatments of these notions by comparing his views to those of other figures in the western philosophical tradition. I defend a comparative approach to Nietzsche’s philosophy and provide an overview of my project in chapter one. In chapter two, I argue that although Nietzsche shares Stoicism’s emphasis on self-discipline and on the affirmation of fate, he rejects the Stoics’ teleological understanding of nature and their view of moral values as descriptively objective. This leads Nietzsche to value passion and suffering for helping us realize the world’s indifference to our all-too human concerns and for prompting value creation. In chapter three, I argue that Nietzsche agrees with Leibniz about the existence and character of unconscious perceptions and appetites – and about the way much of our metaphysics derives from our understanding of the self. Nevertheless, Nietzsche audits metaphysical notions such as God and substance on the basis of his rejection of Leibniz’s view of the self as a monad. This leads him to pursue a naturalistic understanding of consciousness, and of ideas, as emerging to satisfy unconscious drives. In chapter four, I examine Deleuze’s interpretation of Nietzsche’s notions of the will to power and the Overman. In addition to defending the viability of these interpretations, I show how they inform Deleuze’s later notions of desiring-production and nomadology. These studies demonstrate Nietzsche’s untimely relevance to ancient, early modern, and contemporary philosophical approaches.
Additional file 1 of Vallisneria spiralis L. adaptive capacity improves pore water chemistry and increases potential nitrification in organic polluted sediments
Creators: name: Morini, Leonardo
name: Ferrari, Claudio
name: Bartoli, Marco
name: Zilius, Mindaugas
name: Broman, Elias
name: Visioli, Giovanna
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Ecology

description: Additional file 1: Fig. S1 Graphical overview of the experimental setup: (A) representation of the different microcosms created for the experiment, with 4 treatments each with 6 replicates; (B) photo of the tank where microcosms were preincubated for 30 days; (C) biogeochemical and molecular measurements carried out in 2 sediment layers of the 4 treatments. Fig. S2. Photos of vegetated and bare sediment microcosms (a and b) after the 30 days preincubation, just before measurements; surface of bare sediments, colonized by microphytobenthos (c); washed and dried roots of Vallisneria spiralis, with reddish-brown iron oxy-hydroxide plaques (d); preincubation tank with microcosms (e). Fig. S3. Pairwise correlation matrixes of the p-value obtained from PERMANOVA with 999 permutations. The obtained numerical matrix is visually displayed through a heatmap where stronger colors indicate higher significance (lower p-value). (A) potential denitrification rates (PDR); (B) potential nitrification rates (PNR); (C) ammonium (NH4+); (D) soluble reactive phosphorus (SRP). Fig. S4. Scatterplot matrix of pore water concentration of NH4+ and SRP and of potential rates microbial N transformations (PNR, PDR, PDNRA). Fig. S5. Heat map of Archaea assemblage relative DNA abundances considering taxa > 0.5% at least in one sample detected in each of the four treatments of two sites. The color intensities range from dark purple (highest relative abundance) to light blue (lowest relative abundance). Fig. S6. Heat map of 16S rDNA gene communities' assemblage relative abundances considering taxa > 0.2% at least in one sample detected in each of the four treatments of two sites. The color intensities range from dark red (highest relative abundance) to light red (lowest relative abundance).
Few-body precursors of topological frustration
Creators: name: De Filippi, Federico Raffaele
name: Mello, Antonio Francesco
name: Shaikh, Daniel Sacco
name: Sassetti, Maura
name: Ziani, Niccolò Traverso
name: Grossi, Michele
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum spin chains - the prototypical model for coupled two-level systems - offer a fertile playground both for fundamental and technological applications, ranging from the theory of thermalization to quantum computation. The effects of frustration induced by the boundary conditions have recently been addressed in this context. In this work, we analyze the effects of such frustration on a few spin system and we comment the strong even-odd effects induced in the ground state energy. The purpose of this work is to show that such signatures are visible on current quantum computer platforms.
RESENHA CRÍTICA DA OBRA "O PROCESSO", DE FRANZ KAFKA CRITICAL REVIEW OF THE WORK "THE TRIAL", BY FRANZ KAFKA
Creators: name: Nicholas Maciel Merlone
Publisher: name: Zenodo
Year: 2024

description: A presente resenha examina, de forma crítica-reflexiva, a obra “O Processo”, de Franz Kafka (1883 a 1924). Inicialmente, introduz o tema com uma breve biografia do escritor tcheco, de língua literária alemã. A seguir, faz um sintético panorama do livro em comento, traçando linhas gerais. Então, aborda o evento ocorrido no Instituto dos Advogados de São Paulo (IASP), no dia 05 de novembro de 2024, em que Paulo Briguet expõe uma apresentação concernente a: “Josef K. e o Tribunal da Eternidade: Uma Reflexão sobre ‘O Processo’, de Franz Kafka”. Adiante, traz-se algumas reflexões sobre “O Processo” por José Roberto de Castro Neves. Assim, expõe-se uma seleção de alguns excertos significativos e emblemáticos da obra em pauta. Finalmente, comenta-se, brevemente, sobre a Exposição Komplett Kafka, ocorrida no Goethe-Institut, em São Paulo/SP, como homenagem ao centenário da morte de Franz Kafka. O referido evento artístico ocorreu de 01.09.2024 a 31.10.2024. O objetivo da resenha é desvendar os profundos meandros de uma obra eterna. Sabe-se que isto é uma tarefa árdua, dada a natureza do livro. Porém, nos aventuramos nessa empreitada hercúlea contextualizada com o direito e suas relações jurídicas com a arte literária, questões existenciais, psicológicas, sociológicas e históricas. Adentrou-se, pois, numa densa floresta literária. Porém, guiou-se com prazer, atenção e cuidado pelos caminhos que conduziram a uma abordagem completa, analítica e minuciosa da obra em tela. Espera-se que o leitor e a leitora encontrem aqui um subsídio para melhor compreensão do livro. E, claro, que, ao lê-lo, tenham deleite e satisfação! Avante!
Un Ponte Tra La Poesia Cinese E Giapponese - Il Kanshi Di Sugawara No Michizane
Creators: name: Gerlini, Edoardo
Publisher: name: Zenodo
Year: 2012
Subjects: Sugawara Michizane, kanshi, poesia giapponese, Heian

description: A Bridge between Chinese and Japanese Poetry Sugawara no Michizane’s kanshi

和歌と漢詩の架け橋:菅原道真の詩歌 エドアルド・ジェルリーニ

和漢比較文学の研究はここ五十年間、著しく発達してきた。だが、 このような研究が平安朝文学のどの研究においても大きなメリット があるという観点は、まだ日本文学研究者の間に十分に普及してい るとは言えない。菅原道真の詩と『古今和歌集』の和歌における表 現の共通点は、和歌と漢詩が別々の世界のものではなく、同じ文化 環境に位置し、緊密な関係を維持する双子のような文学であること を表している。この小論では、インターテキストと表現典拠の視点 から詩歌を分析し、このような比較文学研究の必要性を強調したい。
WEED CONTROL SYSTEMS IN SYNTHETIC AUXIN-RESISTANT SOYBEANS
Creators: name: Hodgskiss, Connor L
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Agronomy
Crop and pasture protection (incl. pests, diseases and weeds)

description: Herbicide-resistant weed populations have become problematic throughout the Eastern Corn Belt, with 18 unique herbicide-resistant weed biotypes confirmed in Indiana alone. In response to these resistant populations, the agricultural chemical industry has responded by developing glyphosate-resistant crops paired with resistance to synthetic auxin herbicides such as dicamba and 2,4-D.This research evaluates weed population shifts in cropping systems using row crops that are resistant to synthetic auxin herbicides. Identifying weed population shifts will allow future research to be targeted to weed species that would become more prevalent in cropping systems using synthetic auxin-resistant crops. The use of multiple sites of action will be needed in order to prevent weed shifts in both conventional and no-till corn-soybean production systems. Weed densities and species richness were reduced within field evaluations when six or more herbicide sites of action were implemented with residual herbicides in both corn and soybean years over a seven-year period. Additionally, soil seedbank weed densities and species richness were reduced within 2,4-D-resistant soybean production systems. Additional strategies other than the application of herbicides may be needed to manage weed populations in the future due to the high levels of herbicide-resistant weed populations in the Midwest.Off-target movement of these synthetic auxin herbicides, has been a concern, and label-mandated buffer areas are required near sensitive areas. Investigation of whether cover crops can be an effective tactic in managing weeds in these label-mandated buffer areas was conducted. Cover crop utilization in buffer areas has not been investigated in Indiana. Additionally, termination timing is becoming more prominent as farm operators are increasingly terminating cover crops after planting. Our results demonstrate that using cover crops that utilize cereal rye and that are terminated at, or after the time of soybean planting will be beneficial in suppressing waterhemp, grasses, and sometimes horseweed within label-mandated buffer areas, but not for suppression of giant ragweed. However, delaying termination of cover crops can result in soybean yield reductions and caution should be used. Terminating cover crops with glyphosate and auxin and a residual herbicide was more effective than glyphosate alone, but would not be permitted within label-mandated buffer areas.L
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
Creators: name: Thwal, Chu Myaet
name: Nguyen, Minh N. H.
name: Tun, Ye Lin
name: Kim, Seong Tae
name: Thai, My T.
name: Hong, Choong Seon
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Computational Complexity (cs.CC)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Federated learning (FL) has emerged as a promising approach to collaboratively train machine learning models across multiple edge devices while preserving privacy. The success of FL hinges on the efficiency of participating models and their ability to handle the unique challenges of distributed learning. While several variants of Vision Transformer (ViT) have shown great potential as alternatives to modern convolutional neural networks (CNNs) for centralized training, the unprecedented size and higher computational demands hinder their deployment on resource-constrained edge devices, challenging their widespread application in FL. Since client devices in FL typically have limited computing resources and communication bandwidth, models intended for such devices must strike a balance between model size, computational efficiency, and the ability to adapt to the diverse and non-IID data distributions encountered in FL. To address these challenges, we propose OnDev-LCT: Lightweight Convolutional Transformers for On-Device vision tasks with limited training data and resources. Our models incorporate image-specific inductive biases through the LCT tokenizer by leveraging efficient depthwise separable convolutions in residual linear bottleneck blocks to extract local features, while the multi-head self-attention (MHSA) mechanism in the LCT encoder implicitly facilitates capturing global representations of images. Extensive experiments on benchmark image datasets indicate that our models outperform existing lightweight vision models while having fewer parameters and lower computational demands, making them suitable for FL scenarios with data heterogeneity and communication bottlenecks.
description: Published in Neural Networks
Attention on Personalized Clinical Decision Support System: Federated Learning Approach
Creators: name: Thwal, Chu Myaet
name: Thar, Kyi
name: Tun, Ye Lin
name: Hong, Choong Seon
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Emerging Technologies (cs.ET)
subject: FOS: Computer and information sciences

description: Health management has become a primary problem as new kinds of diseases and complex symptoms are introduced to a rapidly growing modern society. Building a better and smarter healthcare infrastructure is one of the ultimate goals of a smart city. To the best of our knowledge, neural network models are already employed to assist healthcare professionals in achieving this goal. Typically, training a neural network requires a rich amount of data but heterogeneous and vulnerable properties of clinical data introduce a challenge for the traditional centralized network. Moreover, adding new inputs to a medical database requires re-training an existing model from scratch. To tackle these challenges, we proposed a deep learning-based clinical decision support system trained and managed under a federated learning paradigm. We focused on a novel strategy to guarantee the safety of patient privacy and overcome the risk of cyberattacks while enabling large-scale clinical data mining. As a result, we can leverage rich clinical data for training each local neural network without the need for exchanging the confidential data of patients. Moreover, we implemented the proposed scheme as a sequence-to-sequence model architecture integrating the attention mechanism. Thus, our objective is to provide a personalized clinical decision support system with evolvable characteristics that can deliver accurate solutions and assist healthcare professionals in medical diagnosing.
description: Published in IEEE BigComp 2021
New Constraints On The Black Hole Spin In Radio Loud Quasars
Creators: name: Schulze, Andreas
name: Done, Chris
name: Lu, Youjun
name: Zhang, Fupeng
name: Inoue, Yoshiyuki
Publisher: name: Zenodo
Year: 2017
Subjects: Quasars
AGN
radio-loud
radio-quiet

description: A study comparing the mean radiative efficiencies of carefully matched samples of radio-loud and radio-quiet SDSS quasars at 0.3<z<0.8.
FAT AND SODIUM QUANTIFICATION AND CORRELATION BY MRSI
Creators: name: Alhulail, Ahmad Abdurahman M.
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Medical physics
Medical biochemistry - lipids
Medical biochemistry and metabolomics not elsewhere classified
Other health sciences not elsewhere classified
Radiology and organ imaging

description: Lipids and sodium (23Na) are two essential components of the human body. They play a role in almost all biological systems. However, an increase in their levels is associated with metabolic diseases. The elevation of their contents can cause similar health disorders. Examples of prevalent disorders that share an increase of musculoskeletal lipids and 23Na are hypertension and diabetes. However, the relationship between in vivo lipid and sodium levels in pathophysiology has not been studied enough and therefore is still unclear. Additionally, the available quantification methods to facilitate such a study may not be practical. They are either invasive, not sensitive enough, or require an impractical measurement time. Therefore, in this work, our aims were to develop practical in vivo methods to quantify the absolute sodium concentration as well as the concentration of each lipid component individually, and to study the correlation between them within the skeletal muscles. Since lipids and 23Na have different nuclear magnetic resonance properties, their quantification by magnetic resonance (MR) techniques face different challenges. Thus, we optimized different MR spectroscopic imaging (MRSI) techniques for lipids and 23Na. Our proposed proton MRSI was able to provide eight lipid fat fraction (FF) maps representing each musculoskeletal lipid component (fatty acid) detected by our MRSI technique, and demonstrated a superior sensitivity compared to the conventional MR imaging methods. For 23Na, our developed 23Na-MRSI was able to measure and map the absolute 23Na concentration with values agreeing with those reported previously in biopsy studies, and with a high repeatability (CV < 6 %) within significantly shorter acquisition time compared to other available techniques. Finally, the 23Na concentration and the fat fractions of each lipid component within healthy skeletal muscles were measured and correlated using our developed MRSI methods. Our findings suggest a positive regional relationship between 23Na and lipids and negative correlation between 23Na and BMI under healthy conditions.
Generating Likely Counterfactuals Using Sum-Product Networks
Creators: name: Nemecek, Jiri
name: Pevny, Tomas
name: Marecek, Jakub
Publisher: name: arXiv
Year: 2024
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: The need to explain decisions made by AI systems is driven by both recent regulation and user demand. The decisions are often explainable only post hoc. In counterfactual explanations, one may ask what constitutes the best counterfactual explanation. Clearly, multiple criteria must be taken into account, although "distance from the sample" is a key criterion. Recent methods that consider the plausibility of a counterfactual seem to sacrifice this original objective. Here, we present a system that provides high-likelihood explanations that are, at the same time, close and sparse. We show that the search for the most likely explanations satisfying many common desiderata for counterfactual explanations can be modeled using Mixed-Integer Optimization (MIO). We use a Sum-Product Network (SPN) to estimate the likelihood of a counterfactual. To achieve that, we propose an MIO formulation of an SPN, which can be of independent interest. The source code with examples is available at https://github.com/Epanemu/LiCE.
Notes on symplectic squeezing in $T^* \mathbb T^n$ and spectra of Finsler dynamics
Creators: name: Feng, Qi
name: Zhang, Jun
Publisher: name: arXiv
Year: 2024
Subjects: subject: Symplectic Geometry (math.SG)
subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 53D05, 58B20

description: In this paper, on the one hand, we prove that for $n \geq 2$ any subbundle of $T^* \mathbb T^n$ with bounded fibers symplectically embeds into a trivial subbundle of $T^* \mathbb T^n$ where the fiber is an irrational cylinder. This not only resolves an open problem in Gong-Xue's recent work (which was stated for the 4-dimension case, that is, $n =2$) and also generalizes to any higher-dimensional situation. The proof is based on some version of Dirichlet's approximation theorem. On the other hand, we generalize a main result in Gong-Xue's work mentioned above, showing that any topologically trivial Liouville diffeomorphism on $T^*M$ (for instance, a diffeomorphism induced by an isometry on $M$) does not change the full marked length spectrum of a Finsler metric $F$ on $M$, up to a lifting of the Finsler metric $F$ to the unit codisk bundle $D^*_FM$. The proof is based on persistence module theory.
description: Final version; add Theorem C about the tilde "thin" cylinder (in dimension 3); shorten the proof of Proposition 2.1
Hypergraph reconstruction from dynamics
Creators: name: Delabays, Robin
name: De Pasquale, Giulia
name: Dörfler, Florian
name: Zhang, Yuanzhao
Publisher: name: arXiv
Year: 2024
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: A plethora of methods have been developed in the past two decades to infer the underlying network structure of an interconnected system from its collective dynamics. However, methods capable of inferring nonpairwise interactions are only starting to appear. Here, we develop an inference algorithm based on sparse identification of nonlinear dynamics (SINDy) to reconstruct hypergraphs and simplicial complexes from time-series data. Our model-free method does not require information about node dynamics or coupling functions, making it applicable to complex systems that do not have a reliable mathematical description. We first benchmark the new method on synthetic data generated from Kuramoto and Lorenz dynamics. We then use it to infer the effective connectivity in the brain from resting-state EEG data, which reveals significant contributions from non-pairwise interactions in shaping the macroscopic brain dynamics.
description: Main text: 11 pages, 7 figures. Supp. Inf.: 6 pages, 10 figures
Enlonstobart: First Approval
Creators: name: Shirley, Matt
Publisher: name: Adis Journals
Year: 2024
Subjects: Medicine
Cancer
Cancer Therapy (excl. Chemotherapy and Radiation Therapy)

description: Declarations
Funding The preparation of this review was not supported by any external funding.
Authorship and Conflict of interest During the peer review process the manufacturer of the agent under review was offered an opportunity to comment on the article. Changes resulting from any comments received were made by the authors on the basis of scientific completeness and accuracy. Matt Shirley is a salaried employee of Adis International Ltd/Springer Nature, and declares no relevant conflicts of interest. All authors contributed to this article and are responsible for its content.
Ethics approval, Consent to participate, Consent to publish, Availability of data and material, Code availability Not applicable.
Additional information about this Adis Drug Review can be found here.
Abstract
Enlonstobart (Enshuxing®), a recombinant, fully humanised immunoglobulin G4 monoclonal antibody targeted against programmed cell death protein 1 (PD-1), is being developed by the CSPC Pharmaceutical Group for the treatment of advanced cervical cancer and other solid tumours. Enlonstobart received its first approval (a conditional marketing authorisation) in June 2024, in China, for use in patients with recurrent or metastatic programmed cell death ligand 1 (PD-L1)-positive cervical cancer who have failed previous platinum-containing chemotherapy. Phase III clinical evaluation of enlonstobart for use as first-line treatment (in combination with chemotherapy ± bevacizumab) in patients with recurrent or metastatic PD-L1-positive cervical cancer is also underway in China. Additionally, phase II clinical development of enlonstobart (as a part of combination therapy) for use against a range of other solid tumour types is continuing. This article summarises the milestones in the development of enlonstobart leading to this first approval for recurrent or metastatic cervical cancer.
 © Springer Nature Switzerland AG 2024 
Supplemental Material, sj-docx-1-ppq-10.1177_13540688211030219 - Elite clientelism in Nigeria: The role of parties in weakening legislator-voter ties
Creators: name: Demarest, Leila
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental Material, sj-docx-1-ppq-10.1177_13540688211030219 for Elite clientelism in Nigeria: The role of parties in weakening legislator-voter ties by Leila Demarest in Party Politics
Magnetogenesis with gravitational waves and primordial black hole dark matter
Creators: name: Balaji, Shyam
name: Fairbairn, Malcolm
name: Olea-Romacho, Maria Olalla
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Strongly supercooled first order phase transitions (FOPTs) can produce primordial black hole (PBH) dark matter (DM) along with observable gravitational waves (GWs) from bubble collisions. Such FOPTs may also produce coherent magnetic fields generated by bubble collisions and by turbulence in the primordial plasma. Here we find that the requirement for PBH DM can produce large primordial magnetic fields which subsequently yield intergalactic magnetic fields in the present universe (with magnitude $\lesssim 20$ pG across coherence length scales of $\simeq 0.001$-$0.01$ Mpc, assuming maximally helical magnetic fields) that easily exceed lower bounds from blazar observations. We follow a largely model independent approach and highlight the possibility of producing DM and observable multi-messenger magnetic fields and GW signals visible in next generation experiments.
description: 8 pages, 3 figures
Insulin Pump Use and Type 1 Diabetes: Connecting Bodies, Identities, and Technologies
Creators: name: Horrocks, Stephen K
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Sociology and social studies of science and technology
Medical devices
Welfare, insurance, disability and social security law
History and philosophy of engineering and technology
History and philosophy of medicine
Cultural studies not elsewhere classified

description: Since the late 1970s, biomedical researchers have heavily invested in the development of portable insulin pumps that allow people with Type 1 Diabetes (T1D) to carry several days-worth of insulin to be injected on an as-needed basis. That means fewer needles and syringes, making regular insulin injections less time consuming and troublesome. As insulin pump use has become more widespread over the past twenty years among people with T1D, the social and cultural effects of using these medical devices on their everyday experiences have become both increasingly apparent for individuals yet consistently absent from social and cultural studies of the disease.
In this dissertation, I explore the technological, medical, and cultural networks of insulin pump treatment to identify the role(s) these biomedicalized treatment acts play in the structuring of people, their bodies, and the cultural values constructed around various medical technologies. As I will show, insulin pump treatment alters people’s bodies and identities as devices become integrated as co-productive actors within patient-users’ biological and social systems. By analyzing personal interviews and digital media produced by people with T1D alongside archival materials, this study identifies compulsory patterns in the practices, structures, and narratives related to insulin pump use to center chapters around the productive (and sometimes stifling) relationship between people, bodies, technologies, and American culture.
By analyzing the layered and intersecting sites of insulin pump treatment together, this project reveals how medical technologies, health identities, bodies, and cultures are co-constructed and co-defined in ways that bind them together—mutually constitutive, medically compelled, cultural and social. New bodies and new systems, I argue, come with new (in)visibilities, and while this new technologically-produced legibility of the body provides unprecedented management of the symptoms and side-effects of the disease, it also brings with it unforeseen social consequences that require changes to people’s everyday lives and practices.
ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНОГО САМООПРЕДЕЛЕНИЯ ОБУЧАЮЩИХСЯ НА ОСНОВЕ ПРОЕКТНОЙ ДЕЯТЕЛЬНОСТИ
Creators: name: Сапарова Ксения Игоревна
Publisher: name: Endless light in science
Year: 2024
Subjects: Профессиональное самоопределение
проектная деятельность
профориентация
сетевое взаимодействие
анкетирование.

description: В статье представлен анализ профессионального самоопределения обучающихся на уровне среднего общего образования на основе проектной деятельности. Приведены результаты анкетирования на выявление опыта и уровня проектной деятельности обучающихся. При анализе анкетирования отмечена недостаточность сформированности алгоритмов проектирования. Дана оценка реализации проектной деятельности школьников на основе коллаборации с ВУЗом/СПО, где руководителем проектной работы выступает студент.
Development and Validation of an Assessment of Engineering Ph.D. Students’ Research Experiences
Creators: name: Holloway, Eric A
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Higher education
Other education not elsewhere classified
Engineering practice

description: Global concerns about the preparedness of engineering Ph.D. students for professional practice are not new. In the U.S., educational reform has focused on the research experiences of students to foster better preparation. Yet, little is known about which aspects of students’ research experiences are essential to prepare them for practice due to the heterogeneity of the experiences, and what opportunities they have in their research to practice being a professional. The goal of this study was to develop and initially validate an instrument that measures students’ perceptions of their research experiences utilizing an ontological theoretical framework that focuses on what it means to become a professional. This framework simplified the heterogeneity and allowed for the investigation of how the research experiences of engineering Ph.D. students are providing opportunities for students to practice being a professional. Four distinct phases of development were utilized to accumulate validity evidence for the instrument: a development phase that focused on question generation and review: an initial pilot test that centered on an Exploratory Factor Analysis on responses (n = 236) from a large Midwestern University; a second pilot test that centered on a Confirmatory Factor Analysis on responses (n = 215) from multiple universities; and a Group Analysis phase that tested statistical differences between groups. Three key results emanated from this work. First, the accumulated validity evidence justifies the intended use of the instrument as a research and program evaluation survey to assess engineering Ph.D. students’ research experiences for opportunities to practice being a professional. Second, the results suggest that, on average, students had fewer opportunities to work with professionals (i.e., take on others’ forms of practice) in their research experiences than other types of opportunities. Third, the results suggest that research experiences can be categorized into those that provide significantly more and significantly fewer opportunities for students to practice being a professional. Higher education tends to focus on the epistemological aspects of professional practice preparation, but utilizing an ontological approach can identify gaps in preparation. Implications of the opportunities identified in this study are discussed for faculty, students, other researchers, instrument users, engineering administrators, and national program administrators, with a focus on providing more opportunities to students to practice being a professional. The utilization of an ontological approach for engineering Ph.D. students’ research experiences, including tangible examples and a call for a new vision for U.S. engineering Ph.D. research experiences, are discussed.
sj-docx-1-srd-10.1177_23780231211032741 – Supplemental material for The Unexpected Decline in Feelings of Depression among Adults Ages 50 and Older in 11 European Countries amid the COVID-19 Pandemic
Creators: name: Van Winkle, Zachary
name: Ferragina, Emanuele
name: Recchi, Ettore
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: Sociology
subject: FOS: Sociology

description: Supplemental material, sj-docx-1-srd-10.1177_23780231211032741 for The Unexpected Decline in Feelings of Depression among Adults Ages 50 and Older in 11 European Countries amid the COVID-19 Pandemic by Zachary Van Winkle, Emanuele Ferragina and Ettore Recchi in Socius
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
Creators: name: Thwal, Chu Myaet
name: Tun, Ye Lin
name: Kim, Kitae
name: Park, Seong-Bae
name: Hong, Choong Seon
Publisher: name: arXiv
Year: 2024
Subjects: subject: Statistical Finance (q-fin.ST)
subject: Artificial Intelligence (cs.AI)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Machine Learning (cs.LG)
subject: FOS: Economics and business
subject: FOS: Computer and information sciences

description: Recent innovations in transformers have shown their superior performance in natural language processing (NLP) and computer vision (CV). The ability to capture long-range dependencies and interactions in sequential data has also triggered a great interest in time series modeling, leading to the widespread use of transformers in many time series applications. However, being the most common and crucial application, the adaptation of transformers to time series forecasting has remained limited, with both promising and inconsistent results. In contrast to the challenges in NLP and CV, time series problems not only add the complexity of order or temporal dependence among input sequences but also consider trend, level, and seasonality information that much of this data is valuable for decision making. The conventional training scheme has shown deficiencies regarding model overfitting, data scarcity, and privacy issues when working with transformers for a forecasting task. In this work, we propose attentive federated transformers for time series stock forecasting with better performance while preserving the privacy of participating enterprises. Empirical results on various stock data from the Yahoo! Finance website indicate the superiority of our proposed scheme in dealing with the above challenges and data heterogeneity in federated learning.
description: Published in IEEE ICOIN 2023
Supplemental Material, sj-docx-1-spp-10.1177_19485506211030398 - Professors Who Signal a Fixed Mindset About Ability Undermine Women’s Performance in STEM
Creators: name: Canning, Elizabeth A.
name: Ozier, Elise
name: Williams, Heidi E.
name: AlRasheed, Rashed
name: Murphy, Mary C.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental Material, sj-docx-1-spp-10.1177_19485506211030398 for Professors Who Signal a Fixed Mindset About Ability Undermine Women’s Performance in STEM by Elizabeth A. Canning, Elise Ozier, Heidi E. Williams, Rashed AlRasheed and Mary C. Murphy in Social Psychological and Personality Science
sj-doc-1-nms-10.1177_1461444821993120 – Supplemental material for Defining empathy: Interconnected discourses of virtual reality’s prosocial impact
Creators: name: Foxman, Maxwell
name: Markowitz, David M
name: Davis, Donna Z
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 200199 Communication and Media Studies not elsewhere classified
subject: FOS: Media and communications

description: Supplemental material, sj-doc-1-nms-10.1177_1461444821993120 for Defining empathy: Interconnected discourses of virtual reality’s prosocial impact by Maxwell Foxman, David M Markowitz and Donna Z Davis in New Media & Society
Guidelines On How To Quantify Extremes In Models Using Evt (Milestone Ms4)
Creators: name: Boda, Tamas
name: Yang, Shuting
name: Schmith, Torben
Publisher: name: Zenodo
Year: 2018

description: Blue-Action project

Milestone: MS4

Work package in charge: WP1 Improving seasonal long range forecast skill of risks for hazardous

weather and climate events

Actual achievement date of this milestone: Project‐month 18

Partner organisation in charge of the milestone and lead author:

The University of Reading (UREAD): Tamas Bodai

Other contributing authors:

Danish Meteorological Institute (DMI): Torben Schmith, Shuting Yang

Milestone Type: Report

Dissemination level: Public

Means of verification of attainment of the milestone: Analysis routines uploaded to data

Achieved: Yes

Abstract: The objective of this part of the project is to establish the statistical framework of predicting extremes

by a seasonal forecast system. This report summarises some preliminary results. Nonstationary extreme

value statistics of cold temperatures in Kiev has been evaluated, with some index of the NAO as a covariate

responsible for nonstationary conditions. We found that while mean DJF temperatures depend

more on negative values of an NAO index, some extremal features depend more on its positive values.

Furthermore, the lowest temperatures occur for intermediate values of the NAO index.
description: The Blue-Action project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 727852 www.blue-action.eu
Theoretical Re-Evaluations Of Scaling Relations Between Smbhs And Their Host Galaxies - 1. Effect Of Seed Bh Mass
Creators: name: Shirakata, Hikari
name: Kawaguchi, Toshihiro
name: Okamoto, Takashi
name: Makiya, Ryu
name: Ishiyama, Tomoaki
name: Matsuoka, Yoshiki
name: Nagashima, Masahiro
name: Enoki, Motohiro
name: Oogi, Taira
name: Kobayashi, Masakazu A. R.
Publisher: name: Zenodo
Year: 2017
Subjects: Quasars
AGN
Simulations

description: A study exploring the effect of varying the mass of a seed black hole (BH) on the resulting black hole mass ‒ bulge mass relation at z ~ 0, using a semi - analytic model of galaxy formation combined with large cosmological N-body simulations.
Glaciers in Flux: Interpreting the Mission and Purpose of Glacier National Park in a Warming Climate
Creators: name: Wieland, Maureen J
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Environmental philosophy
Communication studies

description: This dissertation used a qualitative and interpretive lens to explore visitor and staff perceptions of the mission and purpose of Glacier National Park and the National Park Service as well as the interpreted environmental state of this park. Through the use of online survey data and participant observations, this study provides a deeper understanding of how individuals inside of Glacier National Park view the potential for this park to succeed or fail with its mission as well as how environmental concerns are communicated to those within the park during the summer of 2019. Strategic environmental communication strategies are provided at the conclusion of this study in order to aid Glacier and the National Park Service in more efficiently educating their publics about their core goals and environmental management efforts.
DISTRIBUTED CONTROL AND OPTIMIZATION IN MULTI-AGENT SYSTEMS
Creators: name: Wang, Xuan
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Automation engineering
Control engineering

description: In recent years, the collective behaviors in nature have motivated rapidly expanding research efforts in the control of multi-agent systems. A multi-agent system is composed of multiple interacting subsystems (agents). In order to seek approaches that respect the network nature of multi-agent systems, distributed algorithms has recently received a significant amount of research attention, the goal of which is allowing multi-agent systems to accomplish global objectives through only local coordination. Under this scope, we consider three major problems in this dissertation, namely, distributed computation, distributed optimization, and the resilience of distributed algorithms. First, for distributed computation, we devise distributed algorithms for solving linear equations, which can eliminate the initialization step for agents; converge to the minimum $l_1$ and $l_2$ solutions of under-determined linear equations; achieve ultimate scalability inters of agents' local storage and local states. Second, for distributed optimization, we introduce a new method for algorithm discretization so that the agents no longer have to carefully choose their step-size. We also introduce a new distributed optimization approach that can achieve better convergence rate with lower bandwidth requirement. Finally, for the resilience of distributed algorithms, we propose a new approach that allow normal agents in the multi-agent system to automatically isolate any false information from malicious agents without identification process. Though out the dissertation, all mentioned results are theoretically guaranteed and numerically validated.
Efficient implementation of MPC for tracking using ADMM by decoupling its semi-banded structure
Creators: name: Gracia, Victor
name: Krupa, Pablo
name: Limon, Daniel
name: Alamo, Teodoro
Publisher: name: arXiv
Year: 2024
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Model Predictive Control (MPC) for tracking formulation presents numerous advantages compared to standard MPC, such as a larger domain of attraction and recursive feasibility even when abrupt changes in the reference are produced. As a drawback, it includes some extra decision variables in its related optimization problem, leading to a semi-banded structure that differs from the banded structure encountered in standard MPC. This semi-banded structure prevents the direct use of the efficient algorithms available for banded problems. To address this issue, we present an algorithm based on the alternating direction method of multipliers that explicitly takes advantage of the underlying semi-banded structure of the MPC for tracking.