bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multistage SrBaTiO3/PDMS Composite Film‐Based Hybrid Nanogenerator for Efficient Floor Energy Harvesting Applications
Authors: Paranjape Mandar Vasant , Graham Sontyana Adonijah , Manchi Punnarao , Kurakula Anand , Yu Jae Su 
Published: April 2023

AbstractTriboelectric nanogenerators are an emerging energy‐scavenging technology that can harvest kinetic energy from various mechanical moments into electricity. The energy generated while humans walk is the most commonly available biomechanical energy. Herein, a multistage consecutively‐connected hybrid nanogenerator (HNG) is fabricated and combined with a flooring system (MCHCFS) to efficiently harvest mechanical energy while humans walk. Initially, the electrical output performance of the HNG is optimized by fabricating a prototype device using various strontium‐doped barium titanate (Ba1‐xSrxTiO3, BST) microparticles loaded polydimethylsiloxane (PDMS) composite films. The BST/PDMS composite film acts as a negative triboelectric layer that operates against aluminum. Single HNG operated in contact‐separation mode could generate an electrical output of ≈280 V, ≈8.5 µA, and ≈90 µC m−2. The stability and robustness of the fabricated HNG are confirmed and eight similar HNGs are assembled in a 3D‐printed MCHCFS. The MCHCFS is specifically designed to distribute applied force on the single HNG to four nearby HNGs. The MCHCFS can be implemented in real‐life floors with an enlarged surface area to harvest energy generated while humans walk into direct current electrical output. The MCHCFS is demonstrated as a touch sensor that can be utilized in sustainable path lighting to save enormous electricity waste.
Permanent Anticoagulation Blood‐Vessel by Mezzo‐Sized Double Re‐Entrant Structure
Authors: Seo Dongkwon , Cho Yang Hyun , Kim Gijung , Shin Hyunku , Lee Su Kyoung , Kim Ji Eon , Chun Honggu , Jung Jae Seung , Choi Yeonho 
Published: April 2023

AbstractHaving a permanent omniphobicity on the inner surface of the tube can bring enormous advantages, such as reducing resistance and avoiding precipitation during mass transfer. For example, such a tube can prevent blood clotting when delivering blood composed of complex hydrophilic and lipophilic compounds. However, it is very challenging to fabricate micro and nanostructures inside a tube. To overcome these, a wearability and deformation‐free structural omniphobic surface is fabricated. The omniphobic surface can repel liquids by its “air‐spring” under the structure, regardless of surface tension. Furthermore, it is not lost an omniphobicity under physical deformation like curved or twisted. By using these properties, omniphobic structures on the inner wall of the tube by the “roll‐up” method are fabricated. Fabricated omniphobic tubes still repels liquids, even complex liquids like blood. According to the ex vivo blood tests for medical usage, the tube can reduce thrombus formation by 99%, like the heparin‐coated tube. So, the surface will soon replace typical coating‐based medical surfaces or anticoagulation blood vessels.
Microenvironment Engineering to Promote Selective Ammonia Electrosynthesis from Nitrate over a PdCu Hollow Catalyst
Authors: Min Xiaowen , Liu Ben 
Published: April 2023

AbstractThe electrosynthesis of recyclable ammonia (NH3) from nitrate under ambient conditions is of great importance but still full of challenges for practical application. Herein, an efficient catalyst design strategy is developed that can engineer the surface microenvironment of a PdCu hollow (PdCu‐H) catalyst to confine the intermediates and thus promote selective NH3electrosynthesis from nitrate. The hollow nanoparticles are synthesized by in situ reduction and nucleation of PdCu nanocrystals along a self‐assembled micelle of a well‐designed surfactant. The PdCu‐H catalyst shows a structure‐dependent selectivity toward the NH3product during the nitrate reduction reaction (NO3−RR) electrocatalysis, enabling a high NH3Faradaic efficiency of 87.3% and a remarkable NH3yield rate of 0.551 mmol h−1mg−1at ‐0.30 V (vs reversible hydrogen electrode). Moreover, this PdCu‐H catalyst delivers high electrochemical performance in the rechargeable zinc‐NO3−battery. These results provide a promising design strategy to tune catalytic selectivity for efficient electrosynthesis of renewable NH3and feedstocks.
Designing N‐Confused Metalloporphyrin‐Based Covalent Organic Frameworks for Enhanced Electrocatalytic Carbon Dioxide Reduction
Authors: Ren Zhixin , Zhao Bo , Xie Jing 
Published: April 2023

AbstractElectrochemical conversion of carbon dioxide (CO2) into value‐added products is promising to alleviate greenhouse gas emission and energy demands. Metalloporphyrin‐based covalent organic frameworks (MN4‐Por‐COFs) provide a platform for rational design of electrocatalyst for CO2 reduction reaction (CO2RR). Herein, through systematic quantum‐chemical studies, the N‐confused metallo‐Por‐COFs are reported as novel catalysts for CO2RR. For MN4‐Por‐COFs, among the ten 3d metals, M = Co/Cr stands out in catalyzing CO2RR to CO or HCOOH; hence, N‐confused Por‐COFs with Co/CrN3C1 and Co/CrN2C2 centers are designed. Calculations indicate CoNxCy‐Por‐COFs exhibit lower limiting potential (−0.76 and ‐0.60 V) for CO2‐to‐CO reduction than its parent CoN4‐Por‐COFs (−0.89 V) and make it feasible to yield deep‐reduction degree C1 products CH3OH and CH4. Electronic structure analysis reveals that substituting CoN4 to CoN3C1/CoN2C2 increases the electron density on Co‐atom and raises the d‐band center, thus stabilizing the key intermediates of the potential determining step and lowering the limiting potential. For similar reason, changing the core from CrN4 to CrN3C1/CrN2C2 lowers the limiting potential for CO2‐to‐HCOOH reduction. This work predicts N‐confused Co/CrNxCy‐Por‐COFs to be high‐performance CO2RR catalyst candidates. Inspiringly, as a proof‐of‐concept study, it provides an alternative strategy for coordination regulation and theoretical guidelines for rational design of catalysts.
Cracked Film Lithography with CuGaOx Buffers for Bifacial CdTe Photovoltaics
Authors: Muzzillo Christopher P. , Reese Matthew O. , Lee Chungho , Xiong Gang 
Published: April 2023

AbstractBifacial CdTe solar cells with greater power density than the monofacial baselines are demonstrated by using a CuGaOx rear interface buffer that passivates while reducing sheet resistance and contact resistance. Inserting CuGaOx between the CdTe and Au increases mean power density from 18.0 ± 0.5 to 19.8 ± 0.4 mW cm−2 for one sun front illumination. However, coupling CuGaOx with a transparent conductive oxide leads to an electrical barrier. Instead, CuGaOx is integrated with cracked film lithography (CFL)‐patterned metal grids. CFL grid wires are spaced narrowly enough (≈10 µm) to alleviate semiconductor resistance while retaining enough passivation and transmittance for a bifacial power gain: bifacial CuGaOx/CFL grids generate 19.1 ± 0.6 mW cm−2 for 1 sun front + 0.08 sun rear illumination and 20.0 ± 0.6 mW cm−2 at 1 sun front + 0.52 sun rear—the highest reported power density at field albedo conditions for a scaled polycrystalline absorber.
Fiktion, Literatur und die Verletzung von Persönlichkeitsrechten
Authors: Gittel Benjamin , Köppe Tilmann 
Published: April 2023

ZusammenfassungDieser Beitrag beschäftigt sich mit zwei literaturwissenschaftlichen Sachfragen, die bei juristischen Auseinandersetzungen um literarische Werke relevant sein können. Wir analysieren (1) Beziehungen zwischen der Fiktionalität eines literarischen Textes und dessen Potential zur Verletzung von Persönlichkeitsrechten sowie (2) zwischen Literatur/literarischen Kunstwerken und der Verletzung von Persönlichkeitsrechten. Zugrunde legen wir dabei Auffassungen, die aus dem Urteil des Bundesverfassungsgerichts zu Maxim Billers RomanEsraaus dem Jahre 2007, das inzwischen normierende Bedeutung für die Kunstfreiheit in Deutschland erlangte, hervorgehen. Unsere Überlegungen zeigen, dass die Zusammenhänge zwischen den oben genannten Relata weniger eng sind, als in dem Urteil an verschiedenen Stellen suggeriert wird.
A Sunlight Duration Time Driven Multi-objective Optimization Method for the Layout of High-Rise Residential Quarters Based on NSGA2 Algorithm
Authors: Zhang Ze , Wu Zhengwang 
Published: April 2023

Abstract
Extending sunlight duration time by optimizing the layout of the high-rise residential quarters during the early design stage is one of the most effective approaches to reducing carbon emissions. This paper proposes a multi-objective optimization method for high-rise residential quarter layout based on the NSGA2 algorithm. The method is aimed to maximize the first floor’s sunlight duration time and its uniformity both. A simulated plot in Xiamen is taken as an example for multi-objective optimization. After the optimization, the layouts are analyzed and the better one is selected. The results show that the proposed method can achieve higher overall sunlight duration and its uniformity rate and maximize floor area ratio in the early design phase. However, the proposed method has its drawbacks. This method requires the pre-design of the building plan. The algorithm generates a lot of invalid solutions during the optimization. The optimization time increases dramatically with the quantity increase of input parameters. According to the above, there is still room for improvement in the proposed method.
Embedding Design Intent into Performance-Based Architectural Design—Case Study of Applying Soft Constraints to Design Optimization
Authors: Yang DongLai , Wang Likai , Guohua Ji 
Published: April 2023

Abstract
The lack of consideration of subjective design intents hinders the application of performance-based design optimization to architectural design because building performance is not the only aspect that designers need to solve. In response, this study proposes a method integrating subjective design intents into performance-based design optimization using soft constraints. To demonstrate the method, a case study is presented, where the design optimization continuously provides feedback to the designer and helps them reformulate and redefine the design problem. The case study shows how the application of design optimization and soft constraints is able to assist designers in identifying implicit and hidden design problems and stimulate design exploration at the early design stage.
Research on Architectural Generation Design of Specific Architect's Sketch Based on Image-To-Image Translation
Authors: Li Yuqian , Xu Weiguo , Liu Xingchen 
Published: April 2023

Abstract
Sketch is a way for architects to communicate with others. Architects record their own ideas through rapid drawing. However, sketches are abstract, vague, and even ambiguous. To this end, architects need to spend a lot of time, through modeling and other means, to present the architectural plan that can be understood by people. However, this method is time-consuming and laborious. Due to the development of deep learning technology, especially convolutional neural networks (CNN) and generative adversarial networks (GAN), they have shown great advantages in the field of image recognition and generation. With the help of these technologies, ambiguous architectural sketches can be directly transformed into architectural scheme drawings, and architects’ creative intentions can be continuously improved and developed, It will be very convenient and efficient. Therefore, based on the image-to-image translation, this paper realizes the mapping from architectural sketches to architectural scheme drawings with the help of CycleGAN. Through the analysis of the architectural generation design results of Frank Gehry's and Alberto Campo Baeza's architectural sketches, firstly, the feasibility of this method is verified. Secondly, it is found that this method can well complete the identification of sketch boundaries. In the generated scheme drawings, it can not only reflect the volume and lighting changes of the building, but also reflect the architect's creative intention and style to a large extent, The side reflects the cognitive ability of this method to architectural design.
Predicting the Vitality of Stores Along the Street Based on Business Type Sequence via Recurrent Neural Network
Authors: Liu Zidong , Li Yan , Xiao Xiao 
Published: April 2023

Abstract
The rational planning of store types and locations to maximize street vitality is essential in real estate planning. Traditional business planning relies heavily on the subjective experience of developers. Currently, developers have access to low-resolution urban data to support their decision making, and researchers have done much image-based machine learning research from the scale of urban texture. However, there is still a lack of research on the functional layout with shop-level accuracy. This paper uses a sequence-based neural network (RNN) to explore the relationship between the sequence of store types along a street and its commercial vitality. Currently, the use of RNNs in the architectural and urban fields is very rare. We use customer review data of 80streets from O2O platforms to represent the store vitality degree. In the machine learning model, the input is the sequence of store types on the street, and the output is the corresponding sequence of business vitality indexes. After training and evaluation, the model was shown to have acceptable accuracy. We further combined this evaluation model with a genetic algorithm to develop a business planning optimization tool to maximize the overall street business value, thus guiding real estate business planning at a high resolution.
Parametric Skin Design Method Based on Plane Crystallographic Group Operation Principle
Authors: Zhang Hao , Wang Yuetao , Tan Yuhan , Zhao Jilong 
Published: April 2023

Abstract
Under the dual constraints of industrialization and digitalization, the building skin and structure are further integrated to form standardized units to meet the requirements of architectural performance, industrial prefabrication and “complexity” aesthetic characteristics. The complex and diverse forms of today's building skin hide profound mathematical logic relations and operation rules of form generation. Crystallographic group with regular symmetry and the operation principles reflected by it is one of the most important rules and methods of form and pattern processing in skin design. The study of the mural symbols in ancient Egypt, the murals in the Alhambra, the manuscripts of Escher and the window lattice in ancient Chinese architecture profoundly reflects the basic operation principle of crystal group in shaping the skin form of architecture. Abundant and diverse architectural skin forms can be formed through the operation of symmetry group on basic graphic units. On the basis of clarifying the basic principle of crystal group action, the operation matrix of crystallographic symmetry group can be transformed into parameterized operation steps through programming language for visual operation, and then the skin form with high complexity and leap dimension can be generated by geometric algorithm, and the design method of building skin generation based on crystallographic group is constructed. In the selection of operation form, combined with the calculation of building performance and structure, the construction skin can be used in practical engineering is generated. Based on crystallographic group operation, the unifications of building skin and the classification simplification of components can meet the requirements of modular and unifications design in the process of building industrialization, and meet the requirements of current building industrialization and digitization. It has great research significance and value in the aspects of design and construction efficiency and material economic cost.
Study on Optimization of Building Climate Adaptive Morphology in Cold Regions of China: Case of U-Shaped College Building
Authors: Chen Ping , Liu Chang , Chiu Hsin-Hsien 
Published: April 2023

Abstract
Proper design of building form will facilitate the use of climate environment in order to reduce the reliance of buildings on active equipment. This study takes the cold region of China as the research area, and Jinan city of Shandong province as a typical city in the cold region for specific research. The multi-objective optimization tool based on NSGA-II algorithm is used to optimize the opening angle, length of both sides and floor height of the building, and finally the optimal size range of the university teaching building under the influence of solar radiation heat gain in winter and summer is obtained, and the results show that for the U-shaped university teaching building, the parameters that affect the building performance more in the case of the east side opening are the length of the north side building and the rotation angle of the south side building, and the parameters that affect the performance more in the case of the west side opening are the length of the building on the south side.
A Slime Mold System Driven by Skeletonization Errors
Authors: Xie Y. , Lian J. , Zhou Y. 
Published: April 2023

Abstract
This paper proposed a new way to generate slime mold patterns using a typical voronoi-based skeletonization method. As a recursive system, it redraws and expands the resulting trails of skeletonization and feeds them back as an image source for skeletonization. Through iterations, it utilizes the difference before and after skeletonization to generate slime-mold-like patterns. During the whole process, we tested different growth types with different parameter settings and environmental conditions. Since most researches on skeletonization focus on minimizing errors, on the opposite side this method utilizes errors of skeletonisation (e.g. subtracted skeletons at “branch” areas of the bitmap are different from the original brush trails or the best result we expect) as the basis of the generative process. The redraw process makes it possible to reconnect skeletons via intersected brushes, continuously changing the topology of the network. Unlike the traditional slime mold algorithm which operates on every single agent, our method is driven by image-based solutions. On the output side, this system provides a condensed vector result, which is more applicable for design purposes.
Levelling Calibration and Intelligent Real-Time Monitoring of the Assembly Process of a DfD-Based Prefabricated Structure Using a Motion Capture System
Authors: Wang Xiang , Li Yang , Zhou Ziqi , Lv Xueyuan , Yuan Philip F. , Chen Lei 
Published: April 2023

Abstract
Conventional measuring techniques and equipment such as the level and total-station are commonly used in on-site construction to measure the position of building elements. However, a motion capture system can measure the dynamic 3D movements of markers attached to any target structure with high accuracy and high sampling rate. Considering the characteristics of prefabricated structures that is composed by lot of discrete building elements, advanced requirements for the on-site assembly monitoring is required. This paper introduces an innovative real-time monitoring technique for the DfD-based (Design for Disassembly) structure with the application of motion capture system and other hardware in an IoT-based BIM system. The design and construction method of the structure system, on-site setup of monitoring system and hardware, data acquisition and analysis method, calibration algorithm as well as the BIM system are further illustrated in the paper. The proposed method is finally applied in a real building project that is composed by thousand discrete building elements and covers a large area of 50*25 m. As demonstrator, such monitoring system is applied in the real construction of a DfD-based prefabricated steel structure in the “Water Cube” (Chinese National Aquatics Centre) in Beijing. The building process is successfully recorded and displayed on-site with the digital twin model in the BIM system. The construction states of the building elements are gathered with different kind of IoT techniques such as the RfID chips and QR-Codes. With the demand to control the flatness tolerance within 6 mm (within a 25*50 m area), a large area monitoring system was applied in the project and finally reduced the construction time within 20 days. The final tolerance is verified and further discussed2.
Study of the b → dℓℓ transitions in the Standard Model and test of New Physics sensitivities
Authors: Biswas Aritra , Nandi Soumitra , Patra Sunando Kumar , Ray Ipsita 
Published: April 2023

Abstract
After incorporating all the available experimental data and the most up-to-date Lattice and light cone sum rule (LCSR) inputs on the form factors, we analyze the exclusive b → uℓνℓ and b → dℓℓ decays simultaneously. We have extracted the shapes of all the associated form factors using which we have provided predictions in the standard model for the branching ratios, direct CP asymmetries and isospin asymmetry for B → πℓℓ and various angular observables for B → ρℓℓ transitions. Also, we have tested the sensitivities of these observables towards physics beyond the standard model (BSM). For the B → ρℓℓ decays, we have defined tagged and untagged observables and predicted them in the SM and BSM. In the context of BSM, we have found some compelling information. The respective predictions in a few benchmark scenarios are given, which can be tested in the experiments at the LHCb and the Belle.
NNLO B-fragmentation fits and their application to $$ t\overline{t} $$ production and decay at the LHC
Authors: Czakon Michał , Generet Terry , Mitov Alexander , Poncelet Rene 
Published: April 2023

Abstract
In this work we derive three sets of non-perturbative fragmentation functions, with uncertainties, for B-hadrons, J/ψ’s and muons resulting from semileptonic B decays. All three sets are with next-to-next-to leading order accuracy and include next-to-next-to leading logarithmic soft gluon resummation. The novel feature of these new sets is that they are fully consistent with our formalism for next-to-next-to leading order (NNLO) calculations for final states with identified B, J/ψ or a μ. We employ the fragmentation functions derived in this work to make state of the art predictions for such final states in $$ t\overline{t} $$
t

t
¯

events at the LHC. A special emphasis is placed on observables sensitive to the top quark mass. The present work opens the door for many LHC applications, like, open B production or B production in association with bosons.
All-order celestial OPE in the MHV sector
Authors: Adamo Tim , Bu Wei , Casali Eduardo , Sharma Atul 
Published: April 2023

AbstractOn-shell kinematics for gluon scattering can be parametrized with points on the celestial sphere; in the limit where these points collide, it is known that tree-level gluon scattering amplitudes exhibit an operator product expansion (OPE)-like structure. While it is possible to obtain singular contributions to this celestial OPE, getting regular contributions from both holomorphic and anti-holomorphic sectors is more difficult. In this paper, we use twistor string theory to describe the maximal helicity violating (MHV) sector of tree-level, four-dimensional gluon scattering as an effective 2d conformal field theory on the celestial sphere. By organizing the OPE between vertex operators in this theory in terms of soft gluon descendants, we obtain all-order expressions for the celestial OPE which include all regular contributions in the collinear expansion. This gives new, all-order formulae for the collinear splitting function (in momentum space) and celestial OPE coefficients (in the conformal primary basis) of tree-level MHV gluon scattering. We obtain these results for both positive and negative helicity gluons, and for any incoming/outgoing kinematic configuration within the MHV sector.