bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bayesian optimization with Gaussian-process-based active machine learning for improvement of geometric accuracy in projection multi-photon 3D printing
Authors: Johnson Jason E. , Jamil Ishat Raihan , Pan Liang , Lin Guang , Xu Xianfan 
Published: January 2025

Abstract
Multi-photon polymerization is a well-established, yet actively developing, additive manufacturing technique for 3D printing on the micro/nanoscale. Like all additive manufacturing techniques, determining the process parameters necessary to achieve dimensional accuracy for a structure 3D printed using this method is not always straightforward and can require time-consuming experimentation. In this work, an active machine learning based framework is presented for determining optimal process parameters for the recently developed, high-speed, layer-by-layer continuous projection 3D printing process. The proposed active learning framework uses Bayesian optimization to inform optimal experimentation in order to adaptively collect the most informative data for effective training of a Gaussian-process-regression-based machine learning model. This model then serves as a surrogate for the manufacturing process: predicting optimal process parameters for achieving a target geometry, e.g., the 2D geometry of each printed layer. Three representative 2D shapes at three different scales are used as test cases. In each case, the active learning framework improves the geometric accuracy, with drastic reductions of the errors to within the measurement accuracy in just four iterations of the Bayesian optimization using only a few hundred of total training data. The case studies indicate that the active learning framework developed in this work can be broadly applied to other additive manufacturing processes to increase accuracy with significantly reduced experimental data collection effort for optimization.
System-level modeling with temperature compensation for a CMOS-MEMS monolithic calorimetric flow sensing SoC
Authors: Hong Linze , Xiao Ke , Song Xiangyu , Lin Liwei , Xu Wei 
Published: January 2025

Abstract
We present a system-level model with an on-chip temperature compensation technique for a CMOS-MEMS monolithic calorimetric flow sensing SoC. The model encompasses mechanical, thermal, and electrical domains to facilitate the co-design of a MEMS sensor and CMOS interface circuits on the EDA platform. The compensation strategy is implemented on-chip with a variable temperature difference heating circuit. Results show that the linear programming for the low-temperature drift in the SoC output is characterized by a compensation resistor R
c with a resistance value of 748.21 Ω and a temperature coefficient of resistance of 3.037 × 10−3 °C−1 at 25 °C. Experimental validation demonstrates that within an ambient temperature range of 0–50 °C and a flow range of 0–10 m/s, the temperature drift of the sensor is reduced to ±1.6%, as compared to ±8.9% observed in a counterpart with the constant temperature difference circuit. Therefore, this on-chip temperature-compensated CMOS-MEMS flow sensing SoC is promising for low-cost sensing applications such as respiratory monitoring and smart energy-efficient buildings.
Positively charged specificity site in cyclin B1 is essential for mitotic fidelity
Authors: Heinzle Christian , Höfler Anna , Yu Jun , Heid Peter , Kremer Nora , Schunk Rebecca , Stengel Florian , Bange Tanja , Boland Andreas , Mayer Thomas U. 
Published: January 2025

Abstract
Phosphorylation of substrates by cyclin-dependent kinases (CDKs) is the driving force of cell cycle progression. Several CDK-activating cyclins are involved, yet how they contribute to substrate specificity is still poorly understood. Here, we discover that a positively charged pocket in cyclin B1, which is exclusively conserved within B-type cyclins and binds phosphorylated serine- or threonine-residues, is essential for correct execution of mitosis. HeLa cells expressing pocket mutant cyclin B1 are strongly delayed in anaphase onset due to multiple defects in mitotic spindle function and timely activation of the E3 ligase APC/C. Pocket integrity is essential for APC/C phosphorylation particularly at non-consensus CDK1 sites and full in vitro ubiquitylation activity. Our results support a model in which cyclin B1’s pocket facilitates sequential substrate phosphorylations involving initial priming events that assist subsequent pocket-dependent phosphorylations even at non-consensus CDK1 motifs.
Dynamic allostery in the peptide/MHC complex enables TCR neoantigen selectivity
Authors: Ma Jiaqi , Ayres Cory M. , Brambley Chad A. , Chandran Smita S. , Rosales Tatiana J. , Perera W. W. J. Gihan , Eldaly Bassant , Murray William T. , Corcelli Steven A. , Kovrigin Evgenii L. , Klebanoff Christopher A. , Baker Brian M. 
Published: January 2025

Abstract
The inherent antigen cross-reactivity of the T cell receptor (TCR) is balanced by high specificity. Surprisingly, TCR specificity often manifests in ways not easily interpreted from static structures. Here we show that TCR discrimination between an HLA-A*03:01 (HLA-A3)-restricted public neoantigen and its wild-type (WT) counterpart emerges from distinct motions within the HLA-A3 peptide binding groove that vary with the identity of the peptide’s first primary anchor. These motions create a dynamic gate that, in the presence of the WT peptide, impedes a large conformational change required for TCR binding. The neoantigen is insusceptible to this limiting dynamic, and, with the gate open, upon TCR binding the central tryptophan can transit underneath the peptide backbone to the opposing side of the HLA-A3 peptide binding groove. Our findings thus reveal a novel mechanism driving TCR specificity for a cancer neoantigen that is rooted in the dynamic and allosteric nature of peptide/MHC-I binding grooves, with implications for resolving long-standing and often confounding questions about T cell specificity.
Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates
Authors: Acharki Siham , Raza Ali , Vishwakarma Dinesh Kumar , Amharref Mina , Bernoussi Abdes Samed , Singh Sudhir Kumar , Al-Ansari Nadhir , Dewidar Ahmed Z. , Al-Othman Ahmed A. , Mattar Mohamed A. 
Published: January 2025

Abstract
Improving the accuracy of reference evapotranspiration (RET) estimation is essential for effective water resource management, irrigation planning, and climate change assessments in agricultural systems. The FAO-56 Penman-Monteith (PM-FAO56) model, a widely endorsed approach for RET estimation, often encounters limitations due to the lack of complete meteorological data. This study evaluates the performance of eight empirical models and four machine learning (ML) models, along with their hybrid counterparts, in estimating daily RET within the Gharb and Loukkos irrigated perimeters in Morocco. The ML models examined include Random Forest (RF), M5 Pruned (M5P), eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM), with hybrid combinations of RF-M5P, RF-XGBoost, RF-LightGBM, and XGBoost-LightGBM. Six input combinations were created, utilizing Tmax, Tmin, RHmean, Rs, and U2, with the PM-FAO56 model serving as the benchmark. Model performance was assessed using four statistical indicators: Kling-Gupta efficiency index (KGE), coefficient of determination (R2), mean squared error (RMSE), and relative root squared error (RRSE). Results indicate that the Valiantzas 2013 (VAL2013b) model outperformed other empirical models across all stations, achieving high KGE and R2 values (0.95–0.97) and low RMSE (0.32–0.35 mm/day) and RRSE (8.14–10.30%). The XGBoost-LightGBM and RF-LightGBM hybrid models exhibited the highest accuracy (average RMSE of 0.015–0.097 mm/day), underscoring the potential of hybrid ML models for RET estimation in subhumid and semi-arid regions, thereby enhancing water resource management and irrigation scheduling.
Examining the affordable connectivity program and telehealth use: a pilot survey of the affordable connectivity program, telehealth, video and audio visits in a racially diverse, lower-income population
Authors: Adepoju Omolola E. , Dang Patrick , Fuentes Carlos , Liaw Winston 
Published: January 2025

Abstract
The Affordable Connectivity Program (ACP) aimed to narrow the digital divide by providing discounted internet services for millions of low-income households during the COVID-19 pandemic. This study examined associations between enrollment in the ACP and Telehealth visits in a racially diverse low-income population. Data were obtained via a cross-sectional survey of 213 respondents. Three multivariable regression models examined associations between ACP and three dependent variables, separately: (i) Used telehealth in the past 12 months, (ii) Had 1 or more video visits/consults in the past 12 months, and (iii) Had 1 or more telephone visits/consults in the past 12 months. 41% of survey respondents identified as non-Hispanic Black individuals, 33% as non-Hispanic White individuals, and 22% as Hispanic individuals. 69% reported a pre-tax annual household income of less than $35,000. Only 2 of 10 respondents had heard of ACP and were enrolled, while approximately 4 in 10 had never heard of it. Respondent knowledge/enrollment in the ACP was not significantly associated with telehealth, video consult, or telephone usage. Other demographic characteristics including race, income, educational attainment, and biological sex were significantly associated with telehealth, video, and telephone consults. We observed no association between ACP and telehealth use. While this finding is concerning, it offers an opportunity to reflect on potential reasons for ACP adoption gaps, such as digital literacy, device availability, and potential misconceptions about telehealth services.
Incidence and risk factors for insulinoma diagnosed in dogs under primary veterinary care in the UK
Authors: Kraai Kasper , O’Neill Dan G. , Davison Lucy J. , Brodbelt Dave C. , Galac Sara , Buishand Floryne O. 
Published: January 2025

Abstract
Insulinoma is the most common pancreatic tumor diagnosed in dogs. This study aimed to report incidence risk, breed predispositions and other demographic risk factors for insulinoma diagnosed in dogs under primary veterinary care in the UK. The VetCompass Program supports research on anonymized electronic health records (EHRs) from dogs under UK veterinary care. This study included all VetCompass EHRs from dogs under primary veterinary care during 2019. Multivariable logistic regression analysis was used to evaluate demographic risk factors for insulinoma diagnosis. Of 2,250,741 study dogs, 278 were confirmed as insulinoma cases at any date. The estimated 2019 incidence risk was 0.003% (95% CI 0.002–0.004%). Compared to crossbreeds, predisposed breeds included Dogue de Bordeaux, German Pointer, Flat Coated Retriever, Boxer and West Highland White Terrier. The Labrador Retriever showed decreased odds for insulinoma diagnosis. Additionally, being a terrier breed and being a breed predisposed to other endocrine cancers were associated with increased odds for insulinoma diagnosis. Other risk factors associated with increased odds for insulinoma diagnosis included being female neutered, being 9 - <15 years of age, having an adult median bodyweight of 20 - <30 kg and having a bodyweight above the median for the sex/breed. This is the first study to report the epidemiology of canine insulinoma in dogs under primary veterinary care, resulting in crucial leads for further research in the epidemiology and etiology of canine insulinoma and possible links of canine insulinoma with other canine endocrine cancers. Additionally, the results can aid veterinarians to identify dogs at greater risk of insulinoma.
Real-time trajectory imaging of alpha particles emitted from actinium-225 and its daughter radionuclides
Authors: Yamamoto Seiichi , Yoshino Masao , Shirasaki Kenji , Nakanishi Kohei , Kamada Kei , Yoshikawa Akira , Kataoka Jun 
Published: January 2025

Abstract
In targeted alpha-particle therapy, actinium-225 (Ac-225) has emerged as a radionuclide of potential, driving extensive efforts to develop innovative radiopharmaceuticals. High-resolution imaging of alpha particles is required for precisely detecting alpha-emitting radionuclides in cellular environments and small organs. Here, we report real-time trajectory imaging of alpha particles emitted by Ac-225 and its daughter radionuclides, utilizing an alpha particle trajectory imaging system. This system incorporates a magnification unit, a cooled electron-multiplying charge-coupled device (EM-CCD) camera, and a Ce-doped Gd3Al2Ga3O12 (GAGG) scintillator. Alpha particles were projected onto the GAGG scintillator, producing magnified images that were captured at 100 ms intervals. We successfully tracked particle trajectories with varying lengths and intensities for 4 different alpha particles emitted from Ac-225 and its daughter radionuclides with a spatial resolution of 1.0 μm. Notably, we achieved the imaging of sequentially emitted trajectories from Fr-221 and its decay product At-217, characterized by short decay intervals, along with the extended trajectories of high-energy alpha particles emitted by Po-213. These results demonstrate that high-resolution trajectory imaging, integrated with temporal and energy information, offers profound insights into the real-time behavior of Ac-225 and its daughter radionuclides within living cells or tissue sections, thereby driving advancements in targeted alpha-particle therapy.
Spin injection in graphene using ferromagnetic van der Waals contacts of indium and cobalt
Authors: Sarkar Soumya , Oh Saeyoung , Newton Peter J. , Li Yang , Zhu Yiru , Ghani Maheera Abdul , Yan Han , Jeong Hu Young , Wang Yan , Chhowalla Manish 
Published: January 2025

Abstract
Graphene-based spintronic devices require efficient spin injection, and dielectric tunnel barriers are typically used to facilitate spin injection. However, the direct growth of ultrathin dielectrics on two-dimensional surfaces is challenging and unreliable. Here we report spin injection in graphene lateral spin valves using ferromagnetic van der Waals contacts of indium and cobalt (In–Co), and without the deposition of dielectric tunnel barriers. With this approach, we obtain magnetoresistance values of 1.5% ± 0.5% (spin signal around 50 Ω), which is comparable to state-of-the-art graphene lateral spin valves with oxide tunnel barriers, with a working device yield of more than 70%. By contrast, lateral spin valves with non-van der Waals contacts containing only cobalt are inefficient and exhibit, at best, a magnetoresistance of around 0.2% (spin signal around 3 Ω). The contact resistance of our ferromagnetic indium–cobalt van der Waals contacts is 2–5 kΩ, which makes them compatible with complementary metal–oxide–semiconductor devices.
Stochastic logic in biased coupled photonic probabilistic bits
Authors: Horodynski Michael , Roques-Carmes Charles , Salamin Yannick , Choi Seou , Sloan Jamison , Luo Di , Soljačić Marin 
Published: January 2025

Abstract
Optical computing often employs tailor-made hardware to implement specific algorithms, trading generality for improved performance in key aspects like speed and power efficiency. An important computing approach that is still missing its corresponding optical hardware is probabilistic computing, used e.g. for solving difficult combinatorial optimization problems. In this study, we propose an experimentally viable photonic approach to solve arbitrary probabilistic computing problems. Our method relies on the insight that coherent Ising machines composed of coupled and biased optical parametric oscillators can emulate stochastic logic. We demonstrate the feasibility of our approach by using numerical simulations equivalent to the full density matrix formulation of coupled optical parametric oscillators.
L’ère des STAPS : les qualités de la formation des enseignants d’EPS en France (1975-2023)
Authors: Renaud Jean-Nicolas 
Published: January 2025

Des IUFM aux INSPE, les tribulations dernières des institutions de formation des enseignants ont forcément généré des effets à l’échelle de l’EPS et de la construction de sa corporation. Par une histoire du temps présent, nous allons ouvrir plusieurs pistes pour analyser les forces qui participent à la trajectoire actuelle de la discipline. Si la diversification des mentions de Licence et de Master affecte le système en amont, les évolutions sociales et les politiques éducatives transforment le métier en aval de la construction de l’enseignant. De la lente émergence des STAPS à l’instauration de la compétence comme mètre-étalon du futur professionnel, le déplacement des facteurs de la « qualité », amène à identifier les enjeux qui saisissent les professeurs d’EPS tout au long de leur carrière, de leurs balbutiements à leur incontournable aggiornamento personnel pendant le métier. Pour autant, à travers quelques exemples, nous verrons, derrière un panorama déjà complexe, comment certains héritages scientifiques s’inscrivent sur un temps long qui dépassent l’influence hic et nunc de personnages locaux (Fuchs & Renaud, 2020).
Species-specific spatial and temporal variability in anuran call detection: implications for deploying autonomous recording units
Authors: Hall Andrew , Walcott Amelia , Borrell Ali , Nimmo Dale G. , Wassens Skye 
Published: January 2025

Context Ecosystem assessment using acoustic monitoring technologies can be an efficient method for determining species community composition and breeding activity, but many factors affect the quality of acoustics-data and subsequent level of confidence in derived inferences. Aims We aimed to assess variability in detection probabilities of five frog species using autonomous recording units (ARUs) deployed across a single 1 km2 wetland, comprising a lagoon and surrounding area, and subsequently determine the required number of ARUs with 95% confidence in derived presence–absence data. Methods Ten ARUs were deployed in two rings around the lagoon’s centroid close to the water’s edge. Occupancy models were used to derive detection probabilities of species calling in the lagoon from data describing the temporal pattern of calling at each site, which were derived using call recognition software. Key results Only two of the five target species were detected by all 10 ARUs. All target species’ non-zero ARU detection probabilities varied by a factor of 14, and the coefficients of variation in individual ARU detection probability for each species varied by a factor of seven. Simulations revealed seven or eight ARUs are required to achieve 95% confidence in confirming presence of either of the two species with the highest observed detection probabilities, given they are present and calling. Even with ten deployed ARUs, the probability of successful detection of the other three species known to be calling on any day was less than 40%. Conclusions Effective detection was not achieved for all targeted species by several ARUs during a period when hydrology and season suited recruitment activity. Despite all ARUs being deployed at locations favourable for detecting targeted species, stochastic factors drove spatial variability in detection resulting in markedly different data for each ARU and each species. Implications Data describing species presence derived from automated recording units may not be representative due to spatiotemporal variability in detection that varies by species. To improve ARU deployment strategies, a priori knowledge of typical detection probabilities and species spatial variability can be used to determine the required number of call recorders for a set level of confidence.
Consistent expansion of the Langevin propagator with application to entropy production
Authors: Sorkin Benjamin , Ariel Gil , Markovich Tomer 
Published: January 2025

Abstract
Stochastic thermodynamics is a developing theory for systems out of thermal equilibrium. It allows us to formulate a wealth of nontrivial connections between thermodynamic quantities (such as heat dissipation, excess work, and entropy production) and the statistics of trajectories in generic nonequilibrium stochastic processes. A key quantity for the derivation of these relations is the propagator — the probability to observe a transition from one point in phase space to another after a given time. Here, applying stochastic Taylor expansions, we devise a formal short-time expansion procedure for the propagator of overdamped Langevin dynamics. The three leading orders are obtained explicitly. This technique resolves the shortcomings of the common mathematical machinery used for proving stochastic-thermodynamic relations. In particular, we identify that functionals of the propagator such as the entropy production, which we refer to as ‘first derivatives of the trajectory’, require a previously-unrecognized high-order expansion of the propagator. The method presented here can be extended to arbitrarily higher orders needed to accurately compute any other functional of the propagator. We discuss applications to higher-order simulations of overdamped Langevin dynamics.
Non-uniform oxide aperture design of 2-D VCSEL array
Authors: Luo Yicheng , Jin Dongyue , Liu Jianing , Guan Baolu , Zhou Dingfu , Song Haizhi , Dai Qian 
Published: January 2025

Abstract
With the aid of a electro-opto-thermal model of a two-dimensional (2-D) verticalcavity surface-emitting laser (VCSEL) array, the thermal characteristics of a 4×4 VCSEL array is simulated. It is shown that there is a higher temperature in the central region of the device, which limits the optical output performance. In order to enhance the optical output power, a novel VCSEL array with non-uniform oxidation aperture is designed. As a result, the peak junction temperature is decreased, and the non-uniformity of junction temperature and bias current density among array cells are improved obviously. Furthermore, experimental results demonstrate that the optical output power of the novel VCSEL array is increased from 33.5mW to 38.6mW with an improvement of 15.22% and a superior far-field light spot, when compared with the uniform device. The non-uniform oxidation aperture design sheds light on a effective method to enhances the thermal behaviour and optical performance of VCSEL arrays.