bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer
Authors: Liu Li , Liu Jun , Lyu Qianbao , Huang Jinzhi , Chen Yuanfeng , Feng Cuiyi , Liu Yaoyao , Chen Fukun , Wang Zhouyan 
Published: August 2023

AbstractDisulfidptosis is a newly discovered form of cell death. Not yet clearly classified as programmed cell death or accidental cell death. This study aimed to create a novel disulfidptosis-related lncRNA index (DLI) that can be used to predict survival and chemotherapy drugs sensitivity in patients with cervical cancer. First of all, we found lncRNAs associated with disulfidptosis between cervical cancer tissues and normal tissues. By LASSO-Cox analysis, overlapping lncRNAs were then used to construct lncRNA index associated with disulfidptosis, which can be served to predict the prognosis of patients with CC, especially the chemotherapy drugs sensitivity. ROC curves and PCA based on DLI and clinical signatures were developed and demonstrated to have good predictive potential. In addition, differences in immune cell subset infiltration and differences in immune checkpoint expression between high-DLI and low-DLI groups were analyzed, and we investigated the relationship between the DLI and tumor mutation burden (TMB). In summary, we constructed a lncRNA prediction index associated with disulfidptosis. This has important clinical implications, including improving the predictive value of cervical cancer patients and providing a biomarker for cervical cancer guiding individualized treatment.
Magneto-optical induced supermode switching in quantum fluids of light
Authors: Furman Magdalena , Mirek Rafał , Król Mateusz , Pacuski Wojciech , Sigurðsson Helgi , Szczytko Jacek , Piętka Barbara 
Published: August 2023

AbstractThe insensitivity of photons towards external magnetic fields forms one of the hardest barriers against efficient magneto-optical control, aiming at modulating the polarization state of light. However, there is even scarcer evidence of magneto-optical effects that can spatially modulate light. Here, we demonstrate the latter by exploiting strongly coupled states of semimagnetic matter and light in planar semiconductor microcavities. We nonresonantly excite two spatially adjacent exciton-polariton condensates which, through inherent ballistic near field coupling mechanism, spontaneously synchronise into a dissipative quantum fluidic supermode of definite parity. Applying a magnetic field along the optical axis, we continuously adjust the light-matter composition of the condensate exciton-polaritons, inducing a supermode switch into a higher order mode of opposite parity. Our findings set the ground towards magnetic spatial modulation of nonlinear light.
Digital infrastructure construction drives green economic transformation: evidence from Chinese cities
Authors: Ma Ruiyang , Lin Boqiang 
Published: August 2023

AbstractExisting studies mostly discussed the impact of transportation infrastructure on the economy and society. However, the environmental performance of digital infrastructure has been discussed less. This study explores the effect of digital infrastructure construction on green economic transformation based on theoretical analysis. Using the Broadband China policy as a quasi-natural experiment, the authors construct a staggered difference-in-difference (DID) model and empirically assess the effect of digital infrastructure on green economic development with panel data of Chinese 271 cities from 2003 to 2019. First, the main results indicate that digital infrastructure can enable green economic performance in Chinese cities. The results remain robust after considering the heterogeneous treatment effects, placebo test, and excluding the effect of other policies. Second, the heterogeneity results indicate that green economic performance in eastern and economically developed cities benefits more from digital infrastructure construction. Finally, by enhancing energy efficiency, fostering digital industrialization, and stimulating green technology innovation, the digital infrastructure indirectly contributes to the urban green economy development. This study put forward some constructive policy suggestions to promote green economic transformation from the digital infrastructure construction perspective.
Application of a hyperspectral camera for in situ plasma–material interaction studies at the linear plasma device PSI-2
Authors: Li Changjun , Brezinsek Sebastijan , Ertmer Stephan , Kreter Arkadi , Reinhart Michael , Ding Rui , Chen Junling 
Published: August 2023

A hyperspectral camera (HSC-type Specim IQ) has been applied at the linear plasma device PSI-2 under steady-state conditions. The camera has the capacity of hyperspectral imaging (HSI) with the dimension of a data array 512 × 512 × 204 (x, y, λ) covering the spectral span from 400 to 1000 nm with moderate average spectral resolution (FWHM ∼7 nm). After radiometric calibration and background/continuum emission subtraction, two main applications of the camera, (i) plasma diagnostics in helium (He) plasmas and (ii) plasma–material interaction studies with tungsten (W) targets in neon (Ne) plasmas, have been carried out. The measurements were complemented by a movable Langmuir double probe system (LP) measuring electron temperature (Te) and electron density (ne) in radial direction r and a fiber-coupled cross-dispersion spectrometer with high spectral resolution (Spectrelle) recording neutral He, W, and Ne emission lines over the full plasma column. (i) Two-dimensional (2D) imaging of Te and ne radial profiles in axial direction z of the He plasma column were for the first time obtained by the regression analysis of Te and ne (from LP) and six He I line ratios (from HSC). The spatially resolved plasma parameters covered in these studies range between Te ∼ 0.8–13.4 eV and ne ∼ 0.2 × 1018–3.9 × 1018 m−3 and permit a reconstruction of the plasma conditions in PSI-2 in 2D without LP perturbation. (ii) W sputtering was studied in situ in Ne plasmas exposing W target samples (negatively biased at 100 V) under perpendicular Ne plasma impact. Simultaneously, the 2D distributions of W (W I line at 429.5 nm) in front of the target and the 2D Ne plasma distribution (Ne I line at 703.2 nm) were recorded with complete spectral separation as confirmed by the Spectrelle spectrometer. This permits the simultaneous measurement of the neutral W penetration and its angular distribution induced in the sputtering process and of the impinging plasma distribution. The HSI technique offers, despite a few technical drawbacks, such as the moderate spectral resolution and poor time resolution, a new possibility to distinguish multiple emission lines from plasma and impurities and complements the portfolio of existing Optical Emission Spectroscopy techniques, providing a good compromise regarding spectral, spatial, and temporal resolution.
Design and evaluation of a magnetically coupled piezoelectric energy harvester with parallel connection
Authors: Zhang Yaxun , Wang Heran , Wang Liang 
Published: August 2023

This work proposed a magnetically coupled piezoelectric energy harvester with parallel connections. The rectangular piezoelectric patch in the upper part of the device generates regular vibrations due to the nonlinear forces caused by magnetic coupling. The lower rectangular piezoelectric patch is deformed by contact collision excitation. The parallel connection effectively connects the two sets of piezoelectric patches together and fully exploits the performance of the piezoelectric energy harvester. The intrinsic frequency of the rectangular piezoelectric patch was simulated and verified experimentally. The rectangular piezoelectric patch generates a large vibration amplitude in high-speed operation due to its elasticity property. From the experimental results, it can be seen that the piezoelectric energy harvester can work well in different frequency bands. The parallel piezoelectric energy harvester with a three-contact rotor has a peak-to-peak voltage of 252 V at a speed of 120 r/min and 200 V at a speed of 240 r/min. The maximum voltage achieved by the piezoelectric energy harvester in parallel is 266 V at a speed of 180 r/min with a resistance of 1000 kΩ. The maximum voltage reached by a series-connected piezoelectric energy harvester is 256 V at a speed of 180 r/min and a resistance of 100 kΩ. The peak-to-peak power of the piezoelectric energy harvester connected in parallel is 0.313 W under a resistance of 100 kΩ and a speed of 180 r/min. Besides, the developed piezoelectric energy harvester can light up to 60 light-emitting diodes. Accordingly, the energy can be effectively harvested by the piezoelectric energy harvester and then supplied to the microelectronic device.
Design and evaluation of a stick-slip piezoelectric actuator with flexure hinge mechanism inspired by the earthworm
Authors: Wang Heran , Su Donghao , Wang Liang 
Published: August 2023

In this work, a new bionic piezoelectric actuator inspired by the earthworm is proposed, fabricated, and tested. The operating principle of the actuator imitates the crawling motion of the earthworm. The piezoelectric stack is embedded in the stator with a flexure hinge mechanism. One side of the stator is inspired by the earthworm body. Then the elongation of the piezoelectric stack is transmitted to the driving tip to produce oblique displacement under such a stator. The vertical and horizontal components are used to press and drive the slider, respectively. The principle of the proposed actuator is described in detail. The static deformation is investigated by the FEM method. A dynamic model of the actuator is developed to further reveal the motion characteristics of the slider via theoretical analysis. Finally, the output characteristics of the proposed BPA are tested. The experimental results show that the actuator achieves a maximum output speed of 12.72 mm/s at a voltage of 100 V and a frequency of 710 Hz. The maximum output force is 3 N under a locking force of 2 N. Besides, the displacement resolution is tested at 87 nm at a frequency of 710 Hz, which indicates that the developed actuator can be applied in the field of precision actuation.
Quantum dynamics of the internal motion of biphenyl-based molecular junctions
Authors: Leal-Sánchez Edith , Hernández-Trujillo Jesús 
Published: August 2023

Single molecule junctions based on selected 4,4′-biphenyldithiol and 4,4′-dicyanobiphenyl derivatives bonded to gold electrodes are analyzed from a dynamical point of view. A fully quantum mechanical description of the internal rotation of the biphenyl moiety is carried out in terms of the nuclear wavepacket dynamics obtained by the solution of the time-dependent Schrödinger equation expressed in terms of the torsion angle between the phenyl rings. The required potential energy surfaces are computed using ab initio electronic structure methods. The nature and positions of the substituents on the phenyl rings determine the features of the potential energy surfaces. The effect of the initial conditions on the time propagation of the nuclear wavepackets and, as a consequence, on the evolution of the conformational distribution is also analyzed. In addition, the conductances at zero bias for the nanojunctions were computed for different conformations of the biphenyl fragments. Weighted by the wavepacket amplitudes, non-stationary conductance expectation values, and time-averaged torsion angles and conductances for the entire simulation are obtained. The consequences of using the time-averaged values to perform a linear regression between the conductance and the square of the cosine of the dihedral angle between the phenyl rings are analyzed and compared to the usual static approach based only on the information for equilibrium geometries. The study of the time dependent conformational variations of the biphenyl moieties in the nanojunctions allows for a better understanding of the quantum chemical phenomena that affect their transport properties.
“I don’t know if we should have that discussion now”
Authors: Hallgren Lars , Bergeå Hanna , Montgomerie Emily , Westberg Lotten 
Published: August 2023

Abstract
Collaborative governance within natural resource management relies on dialogical forums where people can negotiate
complex issues through conversations. In this paper, we investigate situations where procedural frames around these discussions
are negotiated in the conversations between its participants in a corpus from five different natural resource management contexts.
We present how frame discussions are initiated, how actors express that actions are not aligned with the frames, and finally, how
these openings of discourse about the frames are interactively managed, maintained, and closed. We argue norms of inclusiveness,
consensus, and performance shape the interaction and hamper the joint investigation of the frames, and undermine the entire
justification of the collaborative processes and the core quality of dialogical conversations.
Debate or dialogue?
Authors: Žákovská Iveta 
Published: August 2023

AbstractThe present paper deals with an example of a TV broadcast discussion program, the Czech programMáte slovo, in which a dialogue fails. It presents a closer analysis of one representative episode of the program, which, despite being officially presented as offering space for discussion and a chance for ordinary citizens to talk to public personalities and politicians, takes the form of confrontainment, whose goal is to escalate debate. The paper reveals what practices by the discussants and the moderator contribute to the failure of a successful dialogue and discusses the role of broadcast programs of this kind in the contemporary communication sphere.
Innovation management in agricultural production in Kazakhstan
Authors: Taishykov Zhandos , Tolysbayev Baurzhan , Kuantkan Bibolat , Koichubayev Alexandr , Baigabulova Kulyash 
Published: August 2023

Abstract
In modern conditions in agriculture, the main priorities in development are scientific and technological progress and innovation, which, based on the achievements of science and technology, allow the renewal of production, and their implementation and management are the relevance of the theme of the study. The purpose of the work is to identify trends in theoretical and methodological foundations and opportunities for enhancing scientific and innovation processes, as well as priorities of prospective development in innovation management in agricultural production in Kazakhstan. The subject of the research is innovation activity in agriculture. A set of special and general scientific methods was used in the research process. The theoretical basis of the research conducted was provided by the endpoints, and the main conclusions and basic recommendations are presented and substantiated by the research of scientists, also, the works of researchers in the field of innovative development and management in the research of international economic relations problems. The results of the study established that the priority direction in the agrarian policy of Kazakhstan in the field of innovation is the development and introduction of modern knowledge and technologies in the sector of the economy, an increase of financing of agrarian science, production of new crop varieties, development of new animal breeds, improvement of quality and efficiency of veterinary care, a system of field irrigation and soil treatment, reduction of crop production costs, genomic breeding.
Botswana’s New Tourism Policy of 2021 and Mantras of Citizen Empowerment and Product Diversification: A Case of Going Backward to Move Forward
Authors: Lenao Monkgogi 
Published: August 2023

Summary
Botswana’s first tourism policy was published in 1990 as the first true attempt at formalizing tourism activities in the country. The policy advocated for a high-cost, low-volume (HC, LV) marketing approach for general tourism practice in Botswana. This policy position has received reviews from various stakeholders, some of whom decry its exclusionary consequences for both citizen entrepreneurs and travellers. In 2021, the Revised Tourism Policy was released following a lengthy review process dating back to 2008. The newly revised policy prescribes a high volume/mixed price strategy in recognition of the constraints embedded in the founding policy’s approach. To this end, the revised policy promises a more citizen-friendly tourism environment where local participation would be improved and benefits spread more equitably to citizens. While explicitly making pronouncements on how an increase in domestic travel shall be facilitated, as well as calling for local participation at the entrepreneurial level, two things remain unchanged. At most, the revised policy retains its predecessor’s government-centred approach as well as wildlife and wilderness-centred thinking. The government-centred dispensation is aptly captured in the policy as a government-led, private-sector-driven, and community-based tourism development approach. The current case addresses the challenges of a government-centred policy in the wake of citizen empowerment and participation in community-based tourism.

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Scaling Up Sustainability: The Case of Big Wheel Burger
Authors: L.M. Coughlan , R. Dodds 
Published: August 2023

Summary
After waking up from a 5-day coma after a sports injury, Calen McNeil did not want to waste his second chance at life and knew his purpose was to do something good and valuable. Big Wheel Burger has been adding locations at a steady pace since opening its doors in 2011 and was also Canada’s first carbon-neutral fast-food restaurant. With five locations currently open and another due to open later in 2023, Calen knew that his business model was a good one, but he also knew profits were not the only thing in question. Ever since the COVID-19 pandemic, he realized he wanted to play a bigger role in helping his community. The question was, how could he change his business model to have an even greater positive impact?

Information
© The Authors 2023
Ultrasonic guided wave imaging of pipelines based on physics embedded inversion neural network
Authors: Lv Lingling , Chen Shili , Tong Junkai , Chen Xin , Zeng Zhoumo , Liu Yang 
Published: August 2023

Abstract
Pipeline corrosion quantification plays a vital role in guaranteeing the safety of critical industrial structures and thus significant work has been carried out to address such an issue. Although quantitative imaging is crucial for non-destructive testing, research in guided wave pipeline testing has primarily centered on qualitative approaches. Here, we propose a deep neural network built upon physical model to reconstruct pipe wall thickness from ultrasonic guided wave (UGW) signals. The workflow of reconstruction contains three layers, where each layer consists of a fixed forward network and a residual inversion network. The forward model is represented by an agent convolutional neural network which would be embedded into the entire inversion network. The residuals between data from the forward model and real signals are then mapped into velocity profile differences through sub-inversion network. Numerical experiments were conducted to verify the inversion performance of the deep neural network using thickness maps obtained from guided wave frequency domain information. Results show that inversion images are capable to reveal the positions, shapes, and depths of corrosion with high resolution and precision, yielding an average inversion of 87.37% in the test set. In addition, by utilizing the periodicity of the pipeline, the inversion accuracy of eight pairs of transducers were improved from 67.7% to 89.43% with high-order helical guided wave. Compared with traditional high-precision inversion methods such as full waveform inversion, the proposed method achieved approximately 300 times faster inversion speed at the cost of some accuracy. The research demonstrates that real-time quantitative imaging of defects on pipes can be achieved accurately by physics embedded network. Furthermore, an experimental verification of the method was carried out through UGW pipeline testing, demonstrating its feasibility. The mean squared error of wall thickness reconstruction was 0.0070, achieving a high level of precision.
A novel material identification method for different thermal conductivities materials based on the micro thermoelectric generator
Authors: Chen Nanxi , Liu Changxin , Shan Baichuan , Chen Runhe , Xing Guangyi , Shao Tong 
Published: August 2023

Abstract
An artificial intelligence (AI) technical system is the foundation of the internet of things. While in the technical system, the material identification technology is the key point. Material identification technology can be applied to AI robots and smart skin. However, most of the traditional material identification technologies have limitations such as high cost and complicated operation, while the low-cost ones have the problem of low accuracy. To accurately, efficiently, and simply identify objects is a bottleneck that researchers urgently need to overcome. Based on the thermoelectric effect, a material identification theory is proposed and a prototype is fabricated in this paper. A series of experiments are carried out to test the performance of the prototype. According to the results, the prototype can precisely identify metal materials and nonmetal materials less than 3 s. There are many merits of the prototype, such as high identification accuracy, low cost, and low maintenance difficulty. Besides, considering complex surface of materials may decrease the identification accuracy, this paper proposes a kind of flexible thermal conductive material to improve identification accuracy. It is verified that the identification accuracy is improved with the flexible thermal conductive material.
Electrical performance enhancement of a triboelectric nanogenerator based on epoxy resin/BaTiO3 by Al nanopowder addition for low power electronic devices
Authors: Amorntep Narong , Namvong Ariya , Wongsinlatam Wullapa , Remsungnen Tawun , Siritaratiwat Apirat , Srichan Chavis , Sriphan Saichon , Pakawanit Phakkhananan , Ariyarit Atthaporn , Supasai Wisut , Jutong Nuttachai , Narkglom Sorawit , Surawanitkun Chayada 
Published: August 2023

Abstract
Triboelectric nanogenerators (TENGs) are crucial for applications such as smart sensors and bio-electronics. In the current work, we aimed for improved performance of TENGs with incorporation of BaTiO3 powder, which is known for its strong ferroelectric properties, combining it with epoxy resin to improve the flexibility of our devices. We observed that our TENGs can operate for over 24 000 cycles with no degradation of function. Additionally, we improved the electrical performance of the TENGs by incorporating various aluminum concentrations that change the electronic properties in the form of mixed epoxy resin, BaTiO3, and Al nanopowders. To identify the optimum conditions for the best performance, we analyzed the electrical characteristics and material properties by employing scanning electron microscopy, energy dispersive x-ray spectroscopy, and x-ray diffractometry characterization techniques. Our findings suggest that this innovative combination of materials and optimization techniques can significantly improve the performance of TENGs, making them ideal for practical applications in various fields, such as low-power electronics, environmental monitoring and healthcare. Moreover, these enhanced TENGs can serve as sustainable and dependable energy sources for various applications.