bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a search and rescue robot system for the underground building environment
Authors: Wang Gongcheng , Wang Weidong , Ding Pengchao , Liu Yueming , Wang Han , Fan Zhenquan , Bai Hua , Hongbiao Zhu , Du Zhijiang 
Published: January 2023

AbstractThe underground building environment plays an increasingly important role in the construction of modern cities. To deal with possible fires, collapses, and so on, in underground building space, it is a general trend to use rescue robots to replace humans. This paper proposes a dual‐robot system solution for search and rescue in an underground building environment. To speed up rescue and search, the two robots focus on different tasks. However, the environmental perception information and location of them are shared. The primary robot is used to quickly explore the environment in a wide range, identify objects, cross difficult obstacles, and so on. The secondary robot is responsible for grabbing, carrying items, clearing obstacles, and so on. In response to the difficulty of rescue caused by unknown scenes, the Lidar, inertial measurement unit and multiview cameras are integrated for large‐scale 3D environment mapping. The depth camera detects the objects to be rescued and locate them on the map. A six‐degree‐of‐freedom manipulator with a two‐finger gripper is equipped to open doors and clear roadblocks during the rescue. To solve the problem of severe signal attenuation caused by reinforced concrete walls, corners and long‐distance transmission, a wireless multinode networking solution is adopted. In the case of a weak wireless signal, the primary robot uses autonomous exploration for environmental perception. Experimental results show the robots' system has high reliability in over‐the‐horizon maneuvering, teleoperation of the door opening and grasping, object searching, and environmental perception, and can be well applied to underground search and rescue.
Crystal Face Dominated Fabrication of Prussian Blue Analogue with Oriented Growth and Naturally Nonpreferred Unsaturated Coordination Center
Authors: Li Hang , Ding Xinyu , Shi Jiangwei , Su Mengfei , Hu Ye , Zhang Chunyan , Gao Feng , Lu Qingyi 
Published: January 2023

AbstractDefects, such as unsaturated coordination centers and vacancies, can fundamentally change materials’ inherent properties and growth habits. The development of defect engineering has promoted the application of many technologies, but it is still a great challenge to selectively manufacture defect sites in existing material systems. It is shown here that in situ site‐directed tailoring of metal sites in Prussian blue analogs (PBA) can be achieved according to the reducibility differences of different metal atoms, forming naturally nonpreferred unsaturated coordination centers. Meanwhile, the in situ capture of small reducing molecule can realize site‐directed tailoring of crystal facets during crystal growth and results in oriented 1D growth. As an oxygen evolution reaction catalyst, the resulted PBA with the nonpreferred unsaturated coordination centers shows a low overpotential of 239 mV at 10 mA cm−2 in alkali, superior to the original PBAs and the previously reported defective PBA derivatives, which can be ascribed to the unsaturated coordination active center and the unique 1D structure. This work opens up opportunities for producing naturally nonpreferred unsaturated coordination center in nanomaterials for broad applications.
Analysis and prediction of the compressive and splitting tensile performances for the novel multiple hooked‐end steel fiber reinforced concrete
Authors: Gao Danying , Guo Yajiang , Pang Yuyang , Chen Gang , Shi Ming , Ding Chong , Liu Dongxu 
Published: January 2023

AbstractIn recent years, the application of the novel multiple hooked‐end steel fiber has gradually become a hot spot in the engineering due to its several excellent properties. In this study, the splitting tensile and compressive properties of the SFRC with 3D single hooked‐end and 4D/5D multiple hooked‐end steel fibers were studied. The variables of the experimental investigation included the concrete matrix strength, steel fiber content, and aspect ratio. The results showed that the compressive strength of steel fiber reinforced concrete (SFRC) increased first and then decreased with the increasing steel fiber content. The concrete matrix, aspect ratio, and end hook number of steel fiber had the significant effect on the optimal steel fiber content. In addition, increasing the content of steel fiber was the most effective way to improve the splitting tensile strength of SFRC, and the splitting tensile strength increased with the increase of the aspect ratio and end hook number of steel fiber. Finally, the splitting tensile strength prediction model of SFRC with novel multiple hooked‐end steel fiber was proposed by introducing the steel fiber number in the SFRC section, and the accuracy of the model was verified by comparison with experimental data.
Garcinol protects SH‐SY5Y cells against MPP+‐induced cell death by activating DJ‐1/SIRT1 and PGC‐1α mediated antioxidant pathway in sequential stimulation of p‐AMPK mediated autophagy
Authors: Lee Tian‐Kuo , Ashok Kumar K. , Huang Chih‐Yang , Liao Po‐Hsiang , Ho Tsung‐Jung , Kuo Wei‐Wen , Liao Shih‐Chieh , Hsieh Dennis Jine‐Yuan , Chiu Ping‐Ling , Chang Yung‐Ming , Ju Da‐Tong 
Published: January 2023

AbstractParkinson's disease (PD), a chronic and progressive neurodegenerative disease, can reduce the population of dopaminergic neurons in the substantia nigra. The cause of this neuronal death remains unclear. 1‐Methyl‐4‐phenylpyridinium ion (MPP+) is a potent neurotoxin that can destroy dopaminergic (DA) neurons and promote PD. Garcinol, a polyisoprenylated benzophenone derivative, was extracted from Garcinia indica and is an important active compound it has been used as an anticancer, antioxidant, and anti‐inflammatory, agent and it can suppress reactive oxygen species (ROS) mediated cell death in a PD model. Human neuroblastoma (SH‐SY5Y) cells (1 × 105 cells) were treated with MPP+ (1 mM) for 24 h to induce cellular ROS production. The formation of ROS was suppressed by pretreatment with different concentrations of garcinol (0.5 and 1.0 μM) for 3 h in SH‐SY5Y cells. The present study found that MPP+ treatment increased the formation of reactive oxygen species (ROS), and the increased ROS began to promote cell death in SH‐SY5Y cells. However, our natural compound garcinol effectively blocked MPP+‐mediated ROS formation by activating the DJ‐1/SIRT1 and PGC‐1α mediated antioxidant pathway. Further findings indicate that the activated SIRT1 can also regulate p‐AMPK‐mediated autophagy to protect the neurons from the damage it concludes that garcinol sub‐sequential regulates intracellular autophagy in this model, and the productive efficacy of garcinol was confirmed by western blot analysis and MitoSOX DCFDA and MTT assays. The results showed garcinol increased protection due to the prevention of MPP+‐induced ROS and the promotion of cell survival.
On the associativity of 1-loop corrections to the celestial operator product in gravity
Authors: Bittleston Roland 
Published: January 2023

Abstract
The question of whether the holomorphic collinear singularities of graviton amplitudes define a consistent chiral algebra has garnered much recent attention. We analyse a version of this question for infinitesimal perturbations around the self-dual sector of 4d Einstein gravity. The singularities of tree amplitudes in such perturbations do form a consistent chiral algebra, however at 1-loop its operator products are corrected by the effective graviton vertex. We argue that the chiral algebra can be interpreted as the universal holomorphic surface defect in the twistor uplift of self-dual gravity, and show that the same correction is induced by an anomalous diagram in the bulk-defect system. The 1-loop holomorphic collinear singularities do not form a consistent chiral algebra. The failure of associativity can be traced to the existence of a recently discovered gravitational anomaly on twistor space. It can be restored by coupling to an unusual 4th-order gravitational axion, which cancels the anomaly by a Green-Schwarz mechanism. Alternatively, the anomaly vanishes in certain theories of self-dual gravity coupled to matter, including in self-dual supergravity.
The rates of adult neurogenesis and oligodendrogenesis are linked to cell cycle regulation through p27-dependent gene repression of SOX2
Authors: Domingo-Muelas Ana , Morante-Redolat Jose Manuel , Moncho-Amor Verónica , Jordán-Pla Antonio , Pérez-Villalba Ana , Carrillo-Barberà Pau , Belenguer Germán , Porlan Eva , Kirstein Martina , Bachs Oriol , Ferrón Sacri R. , Lovell-Badge Robin , Fariñas Isabel 
Published: January 2023

AbstractCell differentiation involves profound changes in global gene expression that often has to occur in coordination with cell cycle exit. Because cyclin-dependent kinase inhibitor p27 reportedly regulates proliferation of neural progenitor cells in the subependymal neurogenic niche of the adult mouse brain, but can also have effects on gene expression, we decided to molecularly analyze its role in adult neurogenesis and oligodendrogenesis. At the cell level, we show that p27 restricts residual cyclin-dependent kinase activity after mitogen withdrawal to antagonize cycling, but it is not essential for cell cycle exit. By integrating genome-wide gene expression and chromatin accessibility data, we find that p27 is coincidentally necessary to repress many genes involved in the transit from multipotentiality to differentiation, including those coding for neural progenitor transcription factors SOX2, OLIG2 and ASCL1. Our data reveal both a direct association of p27 with regulatory sequences in the three genes and an additional hierarchical relationship where p27 repression of Sox2 leads to reduced levels of its downstream targets Olig2 and Ascl1. In vivo, p27 is also required for the regulation of the proper level of SOX2 necessary for neuroblasts and oligodendroglial progenitor cells to timely exit cell cycle in a lineage-dependent manner.
Capacity models for timber under compression perpendicular to grain with screw reinforcement
Authors: Aloisio Angelo , Ussher Ebenezer , Fragiacomo Massimo , Tomasi Roberto 
Published: January 2023

AbstractThis paper compares the performance of probabilistic and deterministic capacity models for reinforced timber members under compression perpendicular to the grain. A database collecting approximately 60 test results has been compiled by reviewing research papers and master’s and doctoral theses from the past twenty years. The capacity model proposed for the next generation of Eurocodes assesses the capacity as the minimum between the values associated with two failure modes, one at the contact plate and one at the screw tips. The main drawbacks of the model are the excessive elaborateness, given its limitation in accuracy and the fallacy in predicting the observed failure modes. In detail, the failure by the screw tips seldom occurs, although it was expected in more than half of the selected specimens. The authors attempted to simplify the capacity equation by proposing a generalized expression corresponding to the failure mode at the contact plate, corrected by a factor including the effects of load and screw arrangement and geometric details of the specimen. A deterministic mechanical model obtained by multiplying the timber strength by the contact area with a given coefficient performs better than the Eurocode model, which attempts to include the effect of load diffusion (R$$^2\approx 0.27$$

2

≈
0.27

). A constant factor equal to 2 yields a suitable fitting (R$$^2\approx 0.76$$

2

≈
0.76

). The best performance is achieved with a four-term polynomial, with adimensional addends, leading to an optimum fitting (R$$^2\approx 0.82$$

2

≈
0.82

).
Biodistribution and dosimetry for combined [177Lu]Lu-PSMA-I&T/[225Ac]Ac-PSMA-I&T therapy using multi-isotope quantitative SPECT imaging
Authors: Delker Astrid , Schleske Mirjam , Liubchenko Grigory , Berg Isabella , Zacherl Mathias Johannes , Brendel Matthias , Gildehaus Franz Josef , Rumiantcev Mikhail , Resch Sandra , Hürkamp Kerstin , Wenter Vera , Unterrainer Lena M. , Bartenstein Peter , Ziegler Sibylle I. , Beyer Leonie , Böning Guido 
Published: January 2023

Abstract
Purpose
Quantitative SPECT for patient-specific dosimetry is a valuable tool in the scope of radionuclide therapy, although its clinical application for 225Ac-based treatments may be limited due to low therapeutic activities. Therefore, the aim of this study was to demonstrate the feasibility of clinical quantitative low-count SPECT imaging during [177Lu]Lu-PSMA-I&T/[225Ac]Ac-PSMA-I&T treatment.

Methods
Eight prostate cancer patients (1000 MBq/8 MBq [177Lu]Lu-PSMA-I&T/[225Ac]Ac-PSMA-I&T) received a single-bed quantitative 177Lu/225Ac SPECT/CT acquisition (1 h) at 24 h post treatment (high-energy collimator, 16 projections p. head à 3.5 min, 128 × 128 pixel). The gamma peak at 440 keV (width: 10%) of the progeny 213Bi was imaged along with the peak at 208 keV (width: 15%) of 177Lu. Quantification included CT-based attenuation and window-based scatter correction plus resolution modelling. Gaussian post-filtering with a full-width-half-maximum of 30 mm and 40–45 mm was employed to match the signal-to-noise ratio of 225Ac and 177Lu, respectively.

Results
Kidney (r = 0.96, p < 0.01) and lesion (r = 0.94, p < 0.01) SUV for [177Lu]Lu-PSMA-I&T and [225Ac]Ac-PSMA-I&T showed a strong and significant correlation. Kidney SUV were significantly higher (p < 0.01) for [225Ac]Ac-PSMA-I&T (2.5 ± 0.8 vs. 2.1 ± 0.9), while for [177Lu]Lu-PSMA-I&T lesion SUV were significantly higher (p = 0.03; 1.8 ± 1.1 vs. 2.1 ± 1.5). For absorbed dose estimates, significant differences regarding the kidneys remained, while no significant differences for lesion dosimetry were found.

Conclusion
Quantitative low-count SPECT imaging of the peak at 440 keV during [225Ac]Ac-PSMA-I&T therapy is feasible. Multi-isotope imaging for [177Lu]Lu-PSMA-I&T/[225Ac]Ac-PSMA-I&T therapy indicates accumulation of free 213Bi in the kidneys.
Another Year of Record Heat for the Oceans
Authors: Cheng Lijing , Abraham John , Trenberth Kevin E. , Fasullo John , Boyer Tim , Mann Michael E. , Zhu Jiang , Wang Fan , Locarnini Ricardo , Li Yuanlong , Zhang Bin , Yu Fujiang , Wan Liying , Chen Xingrong , Feng Licheng , Song Xiangzhou , Liu Yulong , Reseghetti Franco , Simoncelli Simona , Gouretski Viktor , Chen Gengxin , Mishonov Alexey , Reagan Jim , Li Guancheng 
Published: January 2023

AbstractChanges in ocean heat content (OHC), salinity, and stratification provide critical indicators for changes in Earth’s energy and water cycles. These cycles have been profoundly altered due to the emission of greenhouse gasses and other anthropogenic substances by human activities, driving pervasive changes in Earth’s climate system. In 2022, the world’s oceans, as given by OHC, were again the hottest in the historical record and exceeded the previous 2021 record maximum. According to IAP/CAS data, the 0–2000 m OHC in 2022 exceeded that of 2021 by 10.9 ± 8.3 ZJ (1 Zetta Joules = 1021 Joules); and according to NCEI/NOAA data, by 9.1 ± 8.7 ZJ. Among seven regions, four basins (the North Pacific, North Atlantic, the Mediterranean Sea, and southern oceans) recorded their highest OHC since the 1950s. The salinity-contrast index, a quantification of the “salty gets saltier—fresh gets fresher” pattern, also reached its highest level on record in 2022, implying continued amplification of the global hydrological cycle. Regional OHC and salinity changes in 2022 were dominated by a strong La Niña event. Global upper-ocean stratification continued its increasing trend and was among the top seven in 2022.
Assessing the learning curve of robot-assisted total mesorectal excision: a multicenter study considering procedural safety, pathological safety, and efficiency
Authors: Burghgraef T. A. , Sikkenk D. J. , Crolla R. M. P. H. , Fahim M. , Melenhorst J. , Moumni M. El , Schelling G. van der , Smits A. B. , Stassen L. P. S. , Verheijen P. M. , Consten E. C. J. 
Published: January 2023

Abstract
Purpose
Evidence regarding the learning curve of robot-assisted total mesorectal excision is scarce and of low quality. Case-mix is mostly not taken into account, and learning curves are based on operative time, while preferably clinical outcomes and literature-based limits should be used. Therefore, this study aims to assess the learning curve of robot-assisted total mesorectal excision.

Methods
A retrospective study was performed in four Dutch centers. The primary aim was to assess the safety of the individual and institutional learning curves using a RA-CUSUM analysis based on intraoperative complications, major postoperative complications, and compound pathological outcome (positive circumferential margin or incomplete TME specimen). The learning curve for efficiency was assessed using a LC-CUSUM analysis for operative time. Outcomes of patients before and after the learning curve were compared.

Results
In this study, seven participating surgeons performed robot-assisted total mesorectal excisions in 531 patients. Learning curves for intraoperative complications, postoperative complications, and compound pathological outcome did not exceed predefined literature-based limits. The LC-CUSUM for operative time showed lengths of the learning curve ranging from 12 to 35 cases. Intraoperative, postoperative, and pathological outcomes did not differ between patients operated during and after the learning curve.

Conclusion
The learning curve of robot-assisted total mesorectal excision based on intraoperative complications, postoperative complications, and compound pathological outcome did not exceed predefined limits and is therefore suggested to be safe. Using operative time as a surrogate for efficiency, the learning curve is estimated to be between 12 and 35 procedures.
Experimental Investigations on Hydro-mechanical Processes in Reconstituted Clay Shale and Their Significance for Constitutive Modelling
Authors: Nitsch Antonia , Leuthold Julia , Machaček Jan , Grandas Tavera Carlos Eduardo 
Published: January 2023

AbstractThe hydro-mechanical processes of a reconstituted clay shale (Opalinus Clay) were studied and implications for constitutive modelling of swellable clay shales derived. The study aims to provide further insights into these coupled processes. For that, oedometric swelling tests with varying boundary conditions and loading paths, oedometric compression tests under dry and saturated conditions, and permeability tests were performed. The results showed a unique preloading line for the dry state when plotting the void ratio against the vertical stress. For saturated states, this line was shifted to the left (to smaller stresses) which revealed a severe reduction of preloading stress due to saturation. All loading paths converged in a normal compression line (NCL) regardless of the mechanical boundary conditions during saturation. A trend line affine to the NCL was established for swelling pressures at different initial void ratios. The influence of saturation on the mechanical properties became further evident, as the un-/reloading stiffness was significantly reduced. A linear relationship between volumetric deformation and saturation was found. A severe swelling induced reduction of permeability in the saturated state was demonstrated and confirmed by the analysis of consolidation processes during oedometric loading. The experimental findings were used to derive fundamental assumptions for constitutive modelling and were discussed within a numerical framework for expansive soils.
Improving AMulet2 for verifying multiplier circuits using SAT solving and computer algebra
Authors: Kaufmann Daniela , Biere Armin 
Published: January 2023

AbstractVerifying arithmetic circuits and most prominently multiplier circuits is an important problem which in practice is still considered to be challenging. One of the currently most successful verification techniques relies on algebraic reasoning. In this article, we present AMulet2, a fully automatic tool for verification of integer multipliers combining SAT solving and computer algebra. Our tool models multipliers given as and-inverter graphs as a set of polynomials and applies preprocessing techniques based on elimination theory of Gröbner bases. Finally, it uses a polynomial reduction algorithm to verify the correctness of the given circuit. AMulet2 is a re-factorization and improved re-implementation of our previous verification tool AMulet1 and cannot only be used as a stand-alone tool but also serves as a polynomial reasoning framework. We present a novel XOR-based slicing approach and discuss improvements on the data structures including monomial sharing.
A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease
Authors: Sunaga Yuto , Watanabe Atsushi , Katsumata Nobuyuki , Toda Takako , Yoshizawa Masashi , Kono Yosuke , Hasebe Yohei , Koizumi Keiichi , Hoshiai Minako , Kawakami Eiryo , Inukai Takeshi 
Published: January 2023

Abstract
Introduction
In Kawasaki disease (KD), accurate prediction of intravenous immunoglobulin (IVIG) resistance is crucial to reduce a risk for developing coronary artery lesions.

Objective
To establish a simple scoring model predicting IVIG resistance in KD patients based on the machine learning model.

Methods
A retrospective cohort study of 1002 KD patients diagnosed at 12 facilities for 10 years, in which 22.7% were resistant to initial IVIG treatment. We performed machine learning with diverse models using 30 clinical variables at diagnosis in 801 and 201 cases for training and test datasets, respectively. SHAP was applied to identify the variables that influenced the prediction model. A scoring model was designed using the influential clinical variables based on the Shapley additive explanation results.

Results
Light gradient boosting machine model accurately predicted IVIG resistance (area under the receiver operating characteristic curve (AUC), 0.78; sensitivity, 0.50; specificity, 0.88). Next, using top three influential features (days of illness at initial therapy, serum levels of C-reactive protein, and total cholesterol), we designed a simple scoring system. In spite of its simplicity, it predicted IVIG resistance (AUC, 0.72; sensitivity, 0.49; specificity, 0.82) as accurately as machine learning models. Moreover, accuracy of our scoring system with three clinical features was almost identical to that of Gunma score with seven clinical features (AUC, 0.73; sensitivity, 0.53; specificity, 0.83), a well-known logistic regression scoring model.

Conclusion
A simple scoring system based on the findings in machine learning seems to be a useful tool to accurately predict IVIG resistance in KD patients.

Key Points• In Kawasaki disease (KD), accurate prediction of intravenous immunoglobulin (IVIG) resistance is crucial to reduce a risk for developing coronary artery lesions.• Machine learning model predicted IVIG resistance in KD patients, and Shapley additive explanation (SHAP) was a useful approach for explaining the outcome of the machine learning model.• A simple scoring system using three clinical features (days of illness at initial therapy, serum levels of CRP, and total cholesterol at diagnosis) based on SHAP efficiently predicted IVIG resistance.