bluuebunny/crossref_metadata_2025_split huggingface dataset:
The design‐manufacturing‐evaluation integration of a bionic stealth metastructure inspired by the weevils back shell structure
Authors: Huang Yixing , Zhao Pengzhen , Sun Yingjian , Liao Haitao , Dong Huaiyu , Gao Shuailong , Li Qun , Zhao Tian , Li Ying 
Published: December 2024

AbstractWith the advancement of technology, the demand for high‐performance stealth materials with complex structures has increased significantly. This study explores the integration of design, manufacturing, and evaluation of stealth structures using fused deposition modeling (FDM) combined with advanced absorbing materials. Focusing on nylon‐based filaments optimized for broadband absorption, the research is inspired by the microstructure of the weaver ant's back shell to create a thin‐layer, wideband absorbing structure with wide‐angle response, employing the trust region algorithm. This integration of high dielectric loss materials, bionic design, and FDM technology enhances manufacturing efficiency and reduces the structure's thickness. The resulting structure achieves broadband absorption from 3.56 to 40 GHz, excellent angular adaptability, and mechanical robustness. Compared to gradient cell structures, it reduces thickness by 33% and extends the absorption frequency range by 5%. This approach offers a lightweight, high‐performance solution for next‐generation stealth applications.Highlights
Biomimetic inspired design‐manufacturing‐evaluation integration.
Trust domain algorithm optimization.
Improve absorption by combining the macro structure and micro materials.
Additive manufacturing cross‐enabled functional material design.
Partial Anion Exchange Triggered Helical Conformation in Chiral Polyelectrolyte: Demonstration of “Sergeants and Soldiers Like Effect”
Authors: Tilottama Baisakhi , Nrusingha Dehury , Vijayakrishna Kari 
Published: December 2024

ABSTRACTSynthetic helical polymers have gained tremendous attention due to their superior efficiency in mimicking the complex self‐assembly “helix” of biological systems. Prolinate‐based chiral polyelectrolytes bearing chloride counter anion (poly‐(L‐)‐Pro‐Cl) is circular dichroism (CD) silent and exist as random coils. For instance, the same chiral polymer with methoxide counter anion (poly‐(L‐)‐Pro‐OMe) shows CD response with preferred‐handed helical sense. Here we have used partial anion exchange of chloride anion with methoxide as a simple and effective technique to bring the induced CD, eventually helical sense to poly‐(L‐)‐Pro‐Cl. Even with 1 mol% of methoxide exchange, the obtained chiral random copolymer poly‐(L‐)‐Pro‐Cl0.99‐co‐poly‐(L‐)‐Pro‐OMe0.01 showed induced CD. The random copolymer poly‐(L‐)‐Pro‐Cl0.50‐co‐poly‐(L‐)‐Pro‐OMe0.50 with 50 mol% of the methoxide anion exchanged, showed induced CD identical to that of poly‐(L‐)‐Pro–OMe. In partial anion exchange‐induced random copolymers, methoxide‐containing polymer units act as sergeants and chloride‐containing units act as soldiers. Through the “sergeants‐ and soldiers‐like effect,” partial anion exchange reactions trigger the helical sense into the polymer chains. CD analysis provided strong support for the study. Here, the study provides a novel approach to the helical amplification phenomenon, which corresponds to the “sergeants‐ and soldiers‐like effect.”
Ultra‐High in‐Plane Thermal Conductivity of Epoxy Composites Reinforced by Three‐Dimensional Carbon Fiber/Graphene Hybrid Felt
Authors: Shi Shanshan , Li Xiao‐feng , Jiang Tao , Cao Shuai , Gui Xiaofan , Wang Ying , Li Yifan , Yu Wei , Lin Donghai , Xie Huaqing , Xiao Yonghou , Li Wenge , Sun Kai , Yu Jinhong , Wu Xinfeng 
Published: December 2024

ABSTRACTThe heat dissipation problem brought about by high heat density components is a key bottleneck restricting the development of the new electronics industry. At present, traditional low thermal conductivity (TC) polymer composites can no longer meet the heat dissipation demand. The requirements for their thermal performance are also increasing. In this work, the epoxy resin/carbon fiber /graphene hybrid felt (Epoxy/CF/G) composites with high in‐plane TC were constructed through the synergistic interaction of one‐dimensional carbon fiber (CF) and two‐dimensional graphene (G). The synergistic effect of CF and G on thermal conductivity is explored. Graphene can bridge adjacent carbon fibers (CFs) to reduce phonon scattering and build multistage heat transfer paths, facilitating the thermal properties. The thermal conductivity value (K) of the prepared composites reaches 24.09 W/mK at a packing load of 35.25 wt%, which is superior to that of Epoxy/CF composites (12.73 W/mK). The heat transport mechanism is analyzed using infrared thermography. The heat dissipation effect is verified by light emitting diodes, further understanding the internal heat flow conduction process. This synergistic effect strategy provides a promising approach for further constructing thermal conduction networks with industrial application value.
Machine Learning‐Driven Discovery of Thermoset Shape Memory Polymers With High Glass Transition Temperature Using Variational Autoencoders
Authors: Teimouri Amir , Li Guoqiang 
Published: December 2024

ABSTRACTThe discovery of high‐performance shape memory polymers (SMPs) with enhanced glass transition temperatures (Tg) is of paramount importance in fields such as geothermal energy, oil and gas, aerospace, and other high‐temperature applications, where materials are required to exhibit shape memory effect at extremely high‐temperature conditions. Here, we employ a novel machine learning framework that integrates transfer learning with variational autoencoders (VAE) to efficiently explore the chemical design space of SMPs and identify new candidates with high Tg values. We systematically investigate the effect of different latent space dimensions on the VAE model performance. Several machine learning models are then trained to predict Tg. We find that the SVM model demonstrates the highest predictive accuracy, with R2 values exceeding 0.87 and a mean absolute percentage error as low as 6.43% on the test set. Through systematic molar ratio adjustments and VAE‐based fingerprinting, we discover novel SMP candidates with Tg values between 190°C and 200°C, suitable for high‐temperature applications. These findings underscore the effectiveness of combining VAEs and SVM for SMP discovery, offering a scalable and efficient method for identifying polymers with tailored thermal properties.
The role of amphipathic and cationic helical peptides in Parkinson's disease
Authors: Pintado‐Grima Carlos , Ventura Salvador 
Published: December 2024

AbstractPeptides are attracting a growing interest for therapeutic applications in biomedicine. In Parkinson's disease (PD), different human endogenous peptides have been associated with beneficial effects, including protein aggregation inhibition, reduced inflammation, or the protection of dopaminergic neurons. Such effects seem to be connected to the spatial arrangement of peptide side chains, and many of these human molecules share common conformational traits, displaying a distinctive amphipathic and cationic helical structure, which is believed to be crucial for their activities. This review delves into the relationship between these structural properties and the current evidence connecting biogenic peptides to the amelioration of PD symptoms. We discuss their implications in the disease, the different mechanisms of action, their state of validation, and their therapeutic potential.
Elevating Configurations of Data and Emotion: Dynamics of Coproduction, Collaboration and Competition
Authors: Lanouette Kathryn 
Published: December 2024

ABSTRACTCreating, visualizing, and critiquing data are integral knowledge‐building practices within science, as well as many other fields. Yet data is often treated as neutral and value‐free, perpetuating narratives of science as a dispassionate discipline where data are merely extracted, repackaged, and distributed anew. As researchers and educators seek to imagine, design and support more humanistic accounts of young people's data practices, attuning to emotion will be a key area for further study. Recent scholarship in science education has elevated emotion as inseparable from disciplinary knowledge‐building practices, yet studies of emotion emergent within young people's data practices remain less understood. As part of the special issue Centering Affect and Emotion Toward Justice and Dignity in Science Education, this article explores how emotion and data are co‐produced as children construct and critique data visualizations together, collectively transforming notes, tallies and sketches into class‐level aggregated data displays within a fifth grade ecology curriculum. Analyzing interviews, classroom video recordings, and newly constructed data visualizations, I reveal how feeling, sensemaking and practice are entangled as children and their classmates build a paper data map and a dot plot graph, shaped by personal, cultural and sociopolitical dimensions. I show how these emergent emotional configurations shift activity from collaborative to competitive, in turn changing attention to the data itself (properties, histories, visualizations), the underlying organisms being studied and the ecological system‐level interactions. I argue that as science and data science education push forward a zeal for data, it will be important to attune to the emotional and relational dimensions that undergird children's emergent data practices.
Nano‐informatics Approach to Unravel the Intrinsic Interaction of Catharanthus roseus Fabricated Zinc Oxide Nanoparticles with Vindoline to Combat Diabetes
Authors: Goyal Richa , Kumar Manoj , Mallick M. Anwar , Nitin Mukesh , Agrawal Ritu , Yadav Amit Kumar , Solanki Pratima 
Published: December 2024

AbstractAn important aspect of the treatment of chronic cases of diabetes is the enhancement of insulin secretion with a decrease in intestinal glucose absorption. In this study, the prepared alcoholic Catharanthus roseus flower extract‐fabricated zinc oxide nanoparticles (FZNPs) were characterized by UV–vis spectrometer, dynamic light scattering (DLS), X‐ray diffraction (XRD), and fourier transform infrared spectroscopy (FTIR) instruments and antihyperglycemic properties were tested at the molecular level by the in silico method. The synthesis of FZNPs is possible, and the characterization report showed that they have maximum optical properties at 361 nm, a small grain size (15.68 nm), and negative zeta potential (hydrophilic nature). The nanoparticles have a hexagonal structure and are surrounded by several functional groups. The in silico result supports that zinc oxide and related structures, as well as Zn (II) diisophthalate and vindoline, have good ADMET properties. The Zn(II) diisophthalate lead interaction tested with alpha‐glucosidase and has a binding affinity of ‐6.3 kcal/mol, whereas vindoline and KATP binding affinity ‐7.4 kcal/mol. The synthesized FZNPs have the ability to inhibit alpha‐glucosidase targets and block the KATP ion channel of beta cells. The FZNPs have the ability to reduce intestinal glucose absorption as well as promote insulin secretion, so they can effectively manage the hyperglycaemic condition of patients.
Intelligent Microneedles Patch with Wireless Self‐Sensing and Anti‐Infective Actions
Authors: Bai Yutong , Liu Ziting , Niu Tianmu , Yi Yaozhen , Dou Haixu , Song Lingjie , Ren Luquan , Zhao Jie 
Published: December 2024

AbstractTraditional microneedle (MN) technology offers unique advantages in treating wound infections; however, its single‐function design lacks the capability for real‐time monitoring of wound conditions, often resulting in uncontrolled drug release. Herein, an anti‐infective and intelligent MN patch (SP‐CSMN) integrating three functional modules is developed, including temperature monitoring, Bluetooth wireless communication, and responsive drug release. The patch employed chitosan (CS) as a porous substrate, filled with temperature‐sensitive poly(N‐isopropylacrylamide) (PNIPAM) to encapsulate and release the antibiotic rifampicin. With the integrated sensing chip, SP‐CSMN enabled continuous temperature monitoring and real‐time feedback via smartphone Bluetooth communication. When the wound temperature exceeds 36.5 °C for 6 h, the system can automatically identify the infection occurrence and activate the heating module to trigger PNIPAM contraction, triggering rifampicin release. This self‐sensing and intelligent release cycles can repeat throughout its life‐cycle. The SP‐CSMN demonstrated precisely temperature‐induced drug release and enhanced antibacterial activities against Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) in vitro. Furthermore, it sensitively monitored wound temperature changes in infected mice and significantly accelerated wound healing via controlled drug delivery. This advanced MN system offers a promising solution for efficient management of bacterial wound infections.
Tumor infiltration of inactive CD8 + T cells was associated with poor prognosis in Gastric Cancer
Authors: Katayama Naoki , Ohuchida Kenoki , Son Kiwa , Tsutsumi Chikanori , Mochida Yuki , Noguchi Shoko , Iwamoto Chika , Torata Nobuhiro , Horioka Kohei , Shindo Koji , Mizuuchi Yusuke , Ikenaga Naoki , Nakata Kohei , Oda Yoshinao , Nakamura Masafumi 
Published: December 2024

Abstract

Background
Gastric cancer (GC) shows limited response to immune checkpoint inhibitors due to its complex tumor immune microenvironment (TIME). This study explores the functions of various immune cells in the complex TIME in GC.

Methods
We assessed CD8 + T-cell infiltration of GC tissues by immunohistochemistry, and performed single-cell RNA sequencing (scRNA-seq) of tumor and normal tissues from 34 patients with GC.

Results
We categorized 157 GC patients into LOW, MID, and HIGH groups based on their CD8 + T-cell infiltration. Overall survival was notably lower for the HIGH and LOW groups compared with the MID group. Our scRNA-seq data analysis showed that CD8 + T-cell activity markers in the HIGH group were expressed at lower levels than in normal tissue, but the T-cell-attracting chemokine CCL5 was expressed at a higher level. Notably, CD8 + T-cells in the HIGH group displayed lower PD1 expression and higher CTLA4 expression. TCR repertoire analysis using only Epstein–Barr virus-negative cases showed that CD8 + T-cell receptor clonality was lower in the HIGH group than in the MID group. Furthermore, in the HIGH group, the antigen-presenting capacity of type 1 conventional dendritic cells was lower, the immunosuppressive capacity of myeloid-derived suppressor cells was higher, and the expression of CTLA4 in regulatory T-cells was higher.

Conclusion
The present data suggest that the infiltration of inactive CD8 + T-cells with low clonality is induced by chemotaxis in the HIGH group, possibly leading to a poor prognosis for patients with GC.
Assessing generalizability in deep reinforcement learning based assembly: a comprehensive review
Authors: Kolb Lena , Panzer Marcel , Gronau Norbert 
Published: December 2024

AbstractThe increasing complexity of production environments and fluctuations in short-term demand requires adaptive and robust processes. To cope with the inherent challenges, deep reinforcement learning algorithms were widely deployed in assembly processes in recent years, due to their generalization capabilities, which ensure enhanced usability and flexibility for diverse assembly applications. Despite a growing number of scientific papers investigating deep learning based assembly and associated generalization capabilities, a comprehensive review and assessment of potential generalization capabilities has yet to be conducted. This paper aims to provide researchers and practitioners with an evaluation of key influences which contribute to a successful generalization of deep reinforcement learning within assembly processes, thereby facilitating further implementations. Our findings reveal that current research primarily focuses on examining generalization in insertion and sequence planning assembly tasks. Furthermore, we identified many context-specific approaches to enhance generalization, as well as remaining research challenges and gaps. The results comprise four overarching factors, containing several specific approaches that increase generalizability in assembly processes. However, future research must focus on verifying the context independence of these factors.
A thematic review of 45 years of The Journal of Technology Transfer
Authors: Abid Nabila , Cunningham James A. , Perea-Vicente José-Luis 
Published: December 2024

AbstractThe purpose of this paper is to examine the thematic evolution of The Journal of Technology Transfer over 45 years. Over this period, there have been significant changes to the practice and organization of technology transfer. There also has been a significant growth in scholarship attention from different disciplinary areas on different aspects of technology transfer from macro, meso, and micro perspectives. We take a bibliometric approach to undertake an analysis to identify key phases and themes. We identified five distinct phases, namely foundational, technology transfer and university industry collaboration, technology transfer and entrepreneurial dynamics, academic entrepreneurship and sustainable technology transfer. Furthermore, based on this analysis, we reflect on key drivers that will influence and shape future research avenues.
Predictors of Concordance between Patient-Reported and Provider-Documented Symptoms in the Context of Cancer and Multimorbidity
Authors: Gilbertson-White Stephanie , Albashayreh Alaa , Ji Yuwen , Bandyopadhyay Anindita , Zeinali Nahid , Cherwin Catherine 
Published: December 2024

Abstract
Background The integration of patient-reported outcomes (PROs) into clinical care, particularly in the context of cancer and multimorbidity, is crucial. While PROs have the potential to enhance patient-centered care and improve health outcomes through improved symptom assessment, they are not always adequately documented by the health care team.
Objectives This study aimed to explore the concordance between patient-reported symptom occurrence and symptoms documented in electronic health records (EHRs) in people undergoing treatment for cancer in the context of multimorbidity.
Methods We analyzed concordance between patient-reported symptom occurrence of 13 symptoms from the Memorial Symptom Assessment Scale and provider-documented symptoms extracted using NimbleMiner, a machine learning tool, from EHRs for 99 patients with various cancer diagnoses. Logistic regression guided with the Akaike Information Criterion was used to identify significant predictors of symptom concordance.
Results Our findings revealed discrepancies in patient and provider reports, with itching showing the highest concordance (66%) and swelling showing the lowest concordance (40%). There was no statistically significant association between multimorbidity and high concordance, while lower concordance was observed for women, patients with advanced cancer stages, individuals with lower education levels, those who had partners, and patients undergoing highly emetogenic chemotherapy.
Conclusion These results highlight the challenges in achieving accurate and complete symptom documentation in EHRs and the necessity for targeted interventions to improve the precision of clinical documentation. By addressing these gaps, health care providers can better understand and manage patient symptoms, ultimately contributing to more personalized and effective cancer care.
Anti-Interference High-Speed Modulation Decoder for Quantum Key Distribution
Authors: Xu 许 Hua-Xing 华醒 , Wang 王 Shao-Hua 少华 , Wang 王 Chang-Lei 昌雷 , Zhang 张 Ping 平 
Published: December 2024

Abstract
Quantum key distribution is increasingly transitioning toward network applications, necessitating advancements in system performance, including photonic integration for compact designs, enhanced stability against environmental disturbances, higher key rates, and improved efficiency. In this letter, we propose an orthogonal polarization exchange reflector Michelson interferometer model to address quantum channel disturbances caused by environmental factors. Based on this model, we designed a Sagnac reflector-Michelson interferometer decoder and verified its performance through an interference system. The interference fringe visibility exceeded 98% across all four coding phases at 625 MHz. These results indicate that the decoder effectively mitigates environmental interference while supporting high-speed modulation frequencies. In addition, the proposed anti-interference decoder, which does not rely on magneto-optical devices, is well-suited for photonic integration, aligning with the development trajectory for next-generation quantum communication devices.
Differences in severity of reticulo-rumen pH drop in primiparous Holstein cows fed the same diet during transition and early lactation: effects on performance, energy balance, blood metabolites, and reproduction
Authors: Castillo-Lopez Ezequias , Hartinger Thomas , Farghaly Mohsen M , Reisinger Nicole , Lang Claudia , Klambauer Laura , Huber Johann , Zebeli Qendrim 
Published: December 2024

Abstract
We recently reported factors leading to different severity of ruminal pH drop in primiparous cows fed the same diet during transition and early lactation. The present study evaluates the effects of those severities on performance and several blood and balance parameters in the same 24 primiparous cows from 3 wk before calving until week 10 in lactation. The dietary concentrate was increased for all cows from 32 before calving to 60% dry matter (DM) basis over the first week in lactation, resulting in a diet with 40% non-fiber carbohydrates (NFC), and 14.4% physically effective fiber [peNDF &gt; 8]. Ruminal pH was monitored with indwelling systems in all cows during the study; then several indices of duration and magnitude of pH change were used as indicators of the severity of ruminal pH drop. Accordingly, as reported in the companion paper, the cows were classified as either higher pH drop (HIGH; n = 9), moderate (MOD; n = 9), or lower (LOW; n = 6) severity of pH drop. In the present report, body weight, body condition score, and back fat thickness decreased but rumen mucosa thickness increased after calving in all cows (P &lt; 0.05). Post-partum daily energy intake in HIGH was greater (P &lt; 0.05) than in the other categories. In addition, there were 5.6 kg extra of energy-corrected milk in HIGH (P &lt; 0.05). Independent of the severity of pH drop, blood glucose, non-esterified fatty acids, beta-hydroxybutyrate, bilirubin, and cortisol were higher, whereas triglycerides, total protein, globulin, albumin, urea nitrogen, cholesterol, calcium, and phosphorous were lower at calving (P &lt; 0.05). Blood cholesterol was greater in HIGH than the other pH categories (P &lt; 0.05); insulin and reproductive variables were not affected by the severity of the pH drop. Overall, primiparous cows fed the same diet showed different severity of ruminal pH drop, but the individual variation in ruminal pH depression was not related to a negative impact on milk yield, energy balance, or blood metabolites during the study. This indicates that the impact of low ruminal pH on the animals may depend not only on the severity of the pH drop (average of 403 min/d of pH &lt; 5.8 over 13 wk) but also on diet characteristics. Specifically, drops of ruminal pH can be tolerated by primiparous cows during the first 10 wk in milk consuming a diet containing 40% NFC and 14.4% peNDF &gt; 8. It would be worth studying the severity of ruminal pH drop in a larger sample size during the entire lactation and if the severity is sustained on the next lactation.