bluuebunny/crossref_metadata_2025 huggingface dataset:
A liquid-crystal microlens with dual-layers arrayed pattern electrode for the effective modulation of incident light beams
Authors: Ye Mao , Chen Han , Wang Zhe , Liu Kewei , Zhang Xinyu
Published: October 2024

In this paper, an electrically controlled liquid crystal (LC) microlens array based on dual-layer arrayed planar pattern electrode is reported for effective light wave modulation. By adjusting the voltages applied to two planar arrayed electrodes within one substrate of the LC microlens, an adjustable focused circular ring or point-shaped light spot can be formed. Dual-layers arrayed pattern electrode with a minimum interval spacing of approximately ~10μm and a maximum of 130μm are achieved on one substrate by using standard microelectronic lithography, etching, coating film, and other processes. Experimental results are presented and discussed to illustrate outstanding performance of electrically focusing and modulation capability of the proposed LC device. This approach will serve as inspiration for the continued development and design of LC optical elements, enabling applications such as light field imaging, wavefront detection/correction, and the advancement of imaging augmented systems.
Coherent control of scattering and absorption in organic microresonators
Authors: Pietsch Frithjof , Lindenthal Jakob , Antrack Tobias , Benduhn Johannes , Sudzius Markas , Leo Karl
Published: October 2024

We study coherent perfect absorption in organic microcavity resonators and extend these principles and our findings to more complex microresonator systems that, beyond absorption, also possess additional cavity energy dissipation mechanisms. The experimental approach uses laser interferometry to closely monitor the energy fluxes within the system at all device ports as a function of the device geometry and the phase relationships of the incident beams. A particular focus is on optical systems based on 2nd order Bragg gratings, which are crucial for the operation of organic distributed feedback (DFB) lasers or as light incouplers in optical waveguiding films. Coherent control allows the diffraction efficiency of the underlying grating to be tuned over a wide range of values. This strategy allows significant optimisation of resonator structures for high efficiency light coupling in optical waveguides and fine tuning of grating parameters for the most efficient optical mode conversion.
Optical Characterisation of Doped Silicon Wafers Using THz Time-Domain Ellipsometry
Authors: Mazaheri Zahra , Casalino Maurizio , Iodice Mario , Papari Gianpaolo , Russo Roberto , Andreone Antonello
Published: October 2024

Terahertz (THz) time-domain spectroscopic ellipsometry (TDSE) is a powerful, self-referenced, and non-destructive technique for characterizing the electrical and optical properties of a wide range of materials including semiconductors such as doped silicon wafers. By analysing the polarization changes of THz pulses reflected off the silicon samples, TDSE provides detailed information on carrier concentration, mobility, complex conductivity, and complex dielectric response. This method leverages the unique sensitivity of THz radiation to free carrier dynamics in semiconductors, enabling precise measurements of doping levels, conductivity, and hence resistivity at once. Here we show the capability of THz TDSE in distinguishing between different doping types (n-type and p-type) and concentration level, providing critical insights for semiconductor research and fast quality control in silicon wafer production.
Determination of the focus point for measurements of the modulation transfer function MTF
Authors: Dierke Hanno , Schake Markus
Published: October 2024

At PTB, a multi camera MTF measurement setup is developed for the traceable determination of the modulation transfer function (MTF) of objectives. In recent works the MTF of a reference objective is determined within the image field in an angular range of up to ±20° to the optical axis. For the investigation of angular dependency of the transfer function the MTF for a given spatial frequency is evaluated at a datum point. A common choice of the datum point is the focus point Pf.

There are different methods to obtain the focus point from the measurement data. In this contribution several approaches for the determination of the focus point are investigated and compared. In addition, owing to the temperature depending extension of the measurement setup the position of the focus point strongly depends on the ambient temperature. We present also some results of the investigations on the influence of temperature changes on the position of the focus point.
Hyperspectral imaging of irregular-shaped black microplastics in water
Authors: Gebejes Ana , Mubarak Hafiz Ramzan , Semenov Dmitri , Koistinen Arto , Peiponen Kai-Erik , Roussey Matthieu
Published: October 2024

We utilize hyperspectral imaging (HSI) technique for detecting and characterizing black microplastics (BMPs) in water samples directly. We fabricated nine BMP samples from common daily life plastics using a metal work file with a diameter of approximately 200 mm. We discovered that, regardless of all these samples appearing black to the human eye, different BMPs have distinct spectral profiles observable in the visible, and near-infrared regions. Furthermore, we explored the impact of varying BMP quantities in the water samples and found that the reflectance of black microplastics may be influenced by the quantity of BMPs present in the sample.
Mid-IR narrow bandwidth tuneable laser source for the FAMU experiment
Authors: Baruzzo Marco , Suárez-Vargas José J. , Stoychev Lyubomir I. , Cabrera Humberto , Toci Guido , Moretti Luigi , Fasci Eugenio , Gianfrani Livio , Pizzolotto Cecilia , Mocchiutti Emiliano , Danailov Miltcho B. , Vacchi Andrea
Published: October 2024

The FAMU (Fisica degli Atomi MUonici) collaboration aims to measure the proton Zemach radius through muonic hydrogen (μp) spectroscopy. The experimental setup relies on a custom-developed pulsed mid-IR laser source that can be tuned over a specific 6780-6790 nm wavelength range needed to ignite the hyperfine transition of the μp ground state 1S (also known as spin-flip transition). The excitation is observed as a distinctive muonic X-rays emission resulting from the oxygen impurity present in the hydrogen target. The mid-IR emission is produced by Difference Frequency Generation (DFG) in a non-linear crystal, pumped with a fixed wavelength 1064 nm Nd-YAG laser and a tuneable Cr:forsterite laser centred on 1262 nm. This setup produces more than 1.2 mJ at 6780 nm with a linewidth smaller than 30 pm. The experiment requires the laser to run continuously 24/7 in a restricted/radiation-controlled area and for this reason a specifically developed control software permits to remotely act on the laser. The characterization of a series of different non-linear crystals was performed during the development of the laser, resulting in the choice of BaGa4Se7.
Precision localization of cellular proteins with fluorescent Fab-based probes
Authors: Marzullo Vincenzo Manuel , Liccardo Federica , Lo Monte Matteo , Palumbo Giuseppe , Lampe Marko , Coppola Giuseppe , Luini Alberto
Published: October 2024

With continuously improving resolution of today’s (super-resolution) microscopes, a major technical limitation of light microscopy based image analysis is linkage error – a visualization error that is measured by the distance between the cellular target to be detected and the fluorescence emitter used for detection. The linkage error of standard labelled antibodies is caused by the size of the antibody and the random distribution of fluorescent emitters on the antibody surface. In this study, we describe a class of staining reagents that effectively reduce the linkage error by more than five-fold when compared to conventional staining techniques. We believe this class of reagents realize an unmet need in cell biological super resolution imaging studies where the precise localization of the target of interest is crucial for the understanding of complex biological phenomena
Raman and Surface Enhanced Raman spectroscopy analysis of breast cancer cell lines with different HER2 expression profiles
Authors: Spaziani Sara , Esposito Alessandro , Barisciano Giovannina , Quero Giuseppe , Leo Manuela , Colantuoni Vittorio , Mangini Maria , Pisco Marco , Sabatino Lina , De Luca Anna Chiara , Cusano Andrea
Published: October 2024

Assessing HER2 expression in breast cancer cells holds significant diagnostic and prognostic importance. Traditional methods like immunohistochemistry and in situ hybridization suffer from low sensitivity and misclassification rates. In this frame, techniques such as vibrational microscopies can ensure, together with low costs and analytical speed, both high accuracy and precision. Herein, we propose a combined Raman and SERS approach for characterizing 4 breast cancer cell lines and normal cells with varying HER2 expression levels. We show that Raman spectroscopy offers a promising alternative, providing unique molecular fingerprints for cell types based on their biochemical signatures. Its non-invasive nature and ability to detect subtle changes in cellular metabolism make it ideal for cancer cell analysis. Coupled with machine learning techniques like PCA and LDA, Raman spectroscopy can classify different breast cancer subcategories accurately. Surface Enhanced Raman Scattering (SERS) further enhances sensitivity, allowing the detection of single molecules like HER2 receptors. Overall, our results enable fast screening of cancer subpopulation in terms of HER2 concentration and macromolecule cell content. Integration of Raman spectroscopy with SERS offers precise identification and opens avenues for personalized therapies.
Paraxial and non-paraxial optical skyrmions
Authors: Götte Jörg , Ye Zhujun , McWilliams Amy , Cisowski Claire , Speirits Fiona , Franke-Arnold Sonja , Barnett Stephen M.
Published: October 2024

Vector light beams feature a spatially varying optical polarisation and can exhibit localised structures reminiscent of the skyrmions familiar from the study of magnetic media. We present a theory and experimental measurements of such skyrmions in both paraxial and non-paraxial optics. A key feature for our analysis is the transverse skyrmion field which determines the properties of the skyrmions and traces out field lines. In paraxial optics these field lines are lines of constant polarisation, but in non-paraxial optics, the fact the polarisation ellipses are no longer restricted to the transverse plane, makes it necessary to introduce several different skyrmion fields, each representing a different aspect of the three-dimensional optical polarisation.
Structured neutron waves and neutron holography
Authors: Pushin Dmitry , Sarenac Dusan , Henderson Melissa E. , Ekinci Huseyin , Clark Charles W. , Cory David G. , DeBeer-Schmitt Lisa , Huber Michael G. , Lailey Owen , White Jonathan S. , Zhernenkov Kirill
Published: October 2024

The development of advanced spintronics materials necessitates novel characterization tools with the ability to analyze nanometer-scale spin textures. Neutrons, with their angstrom-sized wavelengths, electric neutrality, and controllable spin states, are uniquely suited for this task. Recent research has prioritized expanding the capabilities of the “neutron toolbox” to effectively characterize emerging materials. This involves the development of holographic and tomographic techniques for 3D characterization of bulk spin textures, alongside methods for creating structured neutron beams with specific spin-orbit states like helical and skyrmion configurations. Here we provide a concise overview of these advancements, exploring their potential future applications.
Holographic fabrication of reconfigurable diffractive elements
Authors: Reda Francesco , Salvatore Marcella , Januariyasa I Komang , Borbone Fabio , Oscurato Stefano Luigi
Published: October 2024

The fabrication of Diffractive Optical Elements (DOEs) involves the analog patterning of material surfaces on the scale of light wavelength. This typically requires multi-step lithographic processes. Differently from the photoresists of standard lithography, thin films of amorphous azobenzene-containing polymers (azopolymers) can directly produce a structured surface using a single irradiation step with structured light. The resulting surface reliefs can be used directly as planar phase-modulating DOEs without the need for any post-exposure process. Additionally, the surface geometry and its optical functionality can be reconfigured at will. Here, we demonstrate reprogrammable and ready-to-use azopolymer diffractive gratings, lenses, and holographic projectors, produced by grayscale digital holographic patterns. By exploiting the all-optical scheme based of computer-generated holography, the diffraction behavior of the DOEs is optimized during the developing of structured surfaces. Full all-optical reconfigurability of the fabricated devices is also achieved. Our approach provides a versatile, efficient, and all-optical reversible fabrication framework for DOEs, making it a promising option to overcome the demanding, cumbersome, and irreversible fabrication processes typically involved in the realization of planar diffractive optical devices.
Optical aberrations and vector beams as a tool for hollow structured light generation
Authors: Sulc Miroslav , Gayde Jean-Christophe , Polak Krystof
Published: October 2024

A method for the generation of structured laser beams (SLB) and hollow structured laser beams (HSLB) whose transverse profiles are invariant and can propagate to infinity is described. SLBs are formed after passing through an optical system that generates a special wavefront as a combination of rotationally symmetric optical aberrations. Transverse profile consists of concentric circles with a very bright central core and a bounding outer-ring. The divergence of the central core 0.01 mrad has been experimentally confirmed. When the system was illuminated with a special vector beam, a hollow SLB (HSLB) beam was generated. Its central part is very narrow and completely dark. Unlike conventional hollow beams, where the electric field is zero in the dark areas, an electromagnetic field with the zero Poynting vector is present in this part of the beam. By varying the illumination parameters of the vector beam, it is possible to obtain situations where there is a longitudinal component of the electric field or/and magnetic field in the central core. The simulation results are in good agreement with the SLB profile measurements using a polarization camera.
Polarization diffractive elements analyzed with the Fourier transform Jones matrix and with the beam coherence polarization matrix
Authors: Marco David , Sánchez-López María del Mar , Lizana Angel , Campos Juan , Moreno Ignacio
Published: October 2024

We analyze polarization diffractive elements with the Fourier transform Jones (FTJ) matrix integrated with the beam coherence-polarization (BCP) matrix. Analytical derivations and experimental results are presented of the intensity, state and degree of polarization and coherence properties of the diffracted field generated by a simple diffractive element consisting in double polarizer rectangular aperture.
Detection of nanometer-scale diameter changes in optical fibers with forward stimulated Brillouin scattering
Authors: Álvarez-Ocampo C. , Delgado-Pinar M. , Díez A. , Cruz J. L. , Andrés M. V.
Published: October 2024

We investigate the potential of forward-stimulated Brillouin scattering in optical fibers to detect changes of the fiber diameter with nanometer resolution.
Optical Fiber-Based Module for Selection and Picking of Cells and Cell Clusters
Authors: Harish A. V. , Varela Joao , Gibbon Timothy , Margulis Walter , Russom Aman , Laurell Fredrik
Published: October 2024

We have developed an optical fiber-based module that can select, retrieve, and transfer single cells, and cell clusters. Cell picking and isolation has several applications such as separating circulating tumor cells, isolating single fetal cells for prenatal testing, and others. Our Lab-in-a-Fiber (LiF) module can detect fluorescent cancer cells (MCF-7) from a mixture of labeled and unlabeled cells and pick them up for further analysis. The cells picked up by the fiber show a 90% survival rate on viability tests, making this cell-picking technique an attractive alternative to existing methods.
Rapid and non-destructive nanofiber diameter measurement using Spontaneous Four Wave Mixing
Authors: Bridonneau Aglaé , Weng Ruiling , Shi Mingzhao , Dupuis Christophe , Coutrot Anne-Lise , Delaye Philippe , Lebrun Sylvie
Published: October 2024

We will present a rapid and non-destructive technique for the measurement of the mean diameter of a silica nanofiber using the wavelength position of the signal peak in a spontaneous four wave mixing experiment. The nanofiber diameter can be characterized in a range going at least from 650 to 1250nm. Several nanofibers were characterized, and the measured diameter show a good accordance with the one obtained using a Scanning Electron Microscope. The technique is simple to use and has even the potential to be implemented in situ in order to realize a diameter measurement during the pulling of the nanofiber for a better control of the final diameter of the nanofiber.
A bolometric hyperspectral camera based on a birefringent interferometer for remote sensing in the thermal infrared
Authors: Corti Matteo , Zischka Florian , Preda Fabrizio , Perri Antonio , Polli Dario , Cerullo Giulio , Ballada Ondřej , Barta Cestmír , Chroust Lukáš , Valentini Gianluca , Gebeshuber Ille C. , Manzoni Cristian
Published: October 2024

Remote sensing in thermal infrared bands (TIR) is largely dominated by cumbersome dispersive-type hyperspectral imagers, which usually require expensive and cryo-cooled quantum detectors to make up for their low optical throughput. Here, we present a compact and low-cost TIR hyperspectral camera based on the Fourier-transform approach. It combines an uncooled bolometer detector and a common-path birefringent interferometer made of calomel (Hg2Cl2). It features high optical throughput, an interferometric contrast greater than 90% even for incoherent radiation, spectral resolution tunable up to 4.5 cm-1, robust and long-term interferometric stability. Retrieving in a few minutes the infrared spectrum in all pixels of the TIR image, it could constitute a valuable tool for evaluating radiative cooling materials’ spatial and spectral properties over extended areas. We test the capabilities of the instrument by measuring the emissivity map of different butterfly wings, which provide a natural example of radiative cooling.
Effect of optical properties and micro-structure on radiative cooling performance
Authors: Yalcin Refet Ali , Joulain Karl , Drevillon Jèrèmie
Published: October 2024

The performance of radiative coolers are directly affected by their constituting materials’ optical properties and micro-structures. Here, we investigate the effects of optical properties and microstructure on radiative cooling performance, namely solar reflectance and emittance at 9-13 μm region. The aim is to provide guidance to reach the ideal radiative cooler. Inspected phenomena are included but not limited to Mie resonance, light scattering, effective medium theory.
Mid-infrared Characterization of Elastomers for Radiative Cooling Applications
Authors: Ireddy Vijayasimha Reddy , Ceneda Daniele , Centini Marco , Larciprete Maria Cristina
Published: October 2024

In the present study, we focus into the infrared radiation (IR) absorption coefficients of several polymer types to propose a novel approach through the development of radiative-cooling polymeric films and composites. We will firstly describe the process of samples preparation. Afterwards, we will introduce the experimental setup employed for linear optical characterization in the infrared range along with the obtained experimental results. Finally, we will give details about the numerical model that we developed in order to evaluate the radiative cooling effectiveness of the different films.
Multi-scalar and multi-modal wide-field imaging of artworks with a novel hyperspectral system
Authors: Ardini Benedetto , Corti Matteo , Candeo Alessia , Bassi Andrea , Cerullo Giulio , Valentini Gianluca , Comelli Daniela , Manzoni Cristian
Published: October 2024

Hyperspectral imaging (HSI) is a very powerful tool to study artworks in a non-contact way. Nevertheless, typical HSI systems, which rely on spatial-scanning and dispersive spectrometers, suffer from high-light losses and are difficult to operate for analysing complex artworks. Here we review the capabilities of a HSI system based on TWINS, an innovative Fourier Tranform (FT) spectrometer, which allows wide-field imaging. We demonstrate how, by coupling the TWINS to different imaging systems, it is possible to achieve multi-scalar configurations from very large field-of-view (FOV) acquisition to microscopy. Further, we show how the high-collection throughput of the device allows for the sequential and fast detection of multi-modal signals’, as diffuse reflectance, transmittance, photoluminescence (PL) and Raman.
Distinguishing Healthy and Diseased Chestnuts via THz Spectroscopy and Unsupervised Learning
Authors: Martinez Anna , Di Sarno Valentina , Maddaloni Pasquale , Pagliarulo Vito , Paparo Domenico , Paturzo Melania , Rocco Alessandra , Ruocco Michelina
Published: October 2024

Classifying chestnuts as healthy or diseased remains a complex challenge in quality assessment. In our study, we use THz imaging to determine accurately the health status of chestnuts. Through innovative spectroscopic analysis, we explore the potential of three distinct unsupervised data analysis techniques: Principal Component Analysis (PCA), K-Means Clustering (KMC), and Agglomerative Clustering (AC). Compared to traditional analysis methods, our findings unveil the remarkable ability of these methods to differentiate between healthy, diseased and in an intermediate state chestnuts, even when concealed beneath the peel. This research not only advances our understanding of quality control in chestnut production but also highlights the potential of THz imaging in agricultural applications.
Physics-driven learning for digital holographic microscopy
Authors: Kieber Rémi , Froehly Luc , Jacquot Maxime
Published: October 2024

Deep neural networks based on physics-driven learning make it possible to train neural networks with a reduced data set and also have the potential to transfer part of the numerical computations to optical processing. The aim of this work is to develop the first deep holographic microscope device incorporating a hybrid neural network based on the plane-wave angular spectrum method for dynamic image autofocusing in microscopy applications.
Plasmapheresis for extracorporeal membrane oxygenation (ECMO)-induced hemolysis in infants
Authors: Budhu Gail , Morris-Whyte Kaydeen , Constantinescu Alexandru R.
Published: October 2024

Background: Intravascular hemolysis is a known complication of extracorporeal membrane oxygenation (ECMO). Characterized by elevated plasma-free hemoglobin (PFH), intravascular hemolysis is associated with cytotoxic effects leading to renal replacement therapy (RRT), longer ECMO runs, and mortality. Therapeutic plasma exchange (TPE) in tandem with ECMO was described as a therapy for various pathologic conditions, but there are no Extracorporeal Life Support Organization (ELSO) guidelines for the treatment of ECMO-induced hemolysis. We describe the use of TPE in the management of severe ECMO-induced hemolysis. Methods: Two-term neonates receiving veno-arterial (VA) ECMO developed severe PFH, with peak values over 500 mg/dL. TPE was performed in tandem with the ECMO circuit. Packed red cells were used to prime the TPE circuit, and citrate anticoagulation was added to establish the interface, which could not be achieved with existing heparin in the ECMO circuit. Therapy was completed with saline solution as a decoy for citrate, to avoid hypocalcemia and intracranial bleeding. Plasma volume was replaced by fresh frozen plasma (FFP). Results: In one patient PFH fell to 120 mg/dL, but rebounded to close to 500 mg/dL, only to stabilize between 210 and 300 mg/dL after the second TPE. He was liberated from ECMO, but could not survive a respiratory decompensation. The other patient’s PFH improved to 360 mg/dL after one TPE and continued to decline to 120 mg/dL over the ensuing days. Despite that improvement, care was withdrawn. Conclusion: TPE is effective in decreasing the burden of PFH and is well tolerated in tandem with ECMO, and a database of infants with ECMO-induced hemolysis needs to be created to assess the current practice and establish clinical guidelines for its most appropriate therapy.
A Requirements Model for AI Algorithms in Functional Safety-Critical Systems with an Explainable Self-Enforcing Network from a Developer Perspective
Authors: Klüver Christina , Greisbach Anneliesa , Kindermann Michael , Püttmann Bernd
Published: October 2024

The requirements for ensuring functional safety have always been very high. The existing and expected standards and regulations for the use of AI methods in functional safety-related systems pose major challenges for embedded software development using AI methods. To assess compliance, a Self-Enforcing Network model is presented in which software developers can indicate the degree of fulfillment of the requirements. The result indicates the safety integrity level, which is supported by an explanatory feature.
Applications and Challenges of AI Technology in Financial Portfolio Management
Authors: Wang Weihan
Published: October 2024

With the rapid development of artificial intelligence technology, financial portfolio management has entered a new era characterized by data-driven and intelligent decision-making. Based on the customer- centered service philosophy, managers propose intelligent investment strategies that better meet market demand. Based on the dynamic development of AI technology, we build a theoretical analysis framework for intelligent portfolio management according to the internal logic of the financial market, which can explain the intelligent development mechanism consisting of the investment decision mechanism and risk control cycle mechanism of machine learning and quantitative analysis. Furthermore, we explore opportunities to move towards high-quality development goals from the perspective of practical changes and technological applications in financial portfolio management. The role of AI technology in financial portfolio management is to provide investors with investment portfolios that meet their personalized needs. Researchers are committed to continuously improving the quality of investment strategies and enhancing satisfaction. Therefore, it is necessary to strengthen portfolio control based on internal quality data flow, establish an interaction and risk assessment mechanism between investors' preferences and market performance quality perception, and establish a performance and market environment evaluation system to achieve qualitative evaluation and market performance evaluation, to realize the high-quality development of financial portfolio management, promote the stability and prosperity of the financial market, and truly meet the diversifying needs of investors.
Sustainable Financial Risk Assessment and Management System Construction based on Big Data Analysis
Authors: Hu Yuting
Published: October 2024

In today's financial industry, traditional risk assessment models can no longer meet the needs of complex and dynamically changing financial markets. Therefore, building a sustainable financial risk assessment and management system based on big data analysis is particularly important. This system can predict and mitigate financial risks by analyzing large-scale datasets, improving the risk management capabilities of financial institutions, and providing the scientific basis for formulating relevant policies. Applying big data technology can greatly enrich the dimensions and depth of risk assessment. By collecting and processing a large amount of data from different channels, including social media, transaction records, market dynamics, etc., risk signals that traditional methods cannot observe can be revealed, allowing financial institutions to more accurately identify and predict potential risk points. The analysis model based on big data can achieve real-time risk monitoring. These models can automatically process real-time data promptly and alert potential risks, allowing financial institutions to quickly respond to market changes and take appropriate risk control measures. Building such a system is not without challenges. The quality and integrity of data, privacy protection, and the accuracy and transparency of analytical models are all issues that need to be focused on.
Analysis of the influence of foreign direct investment on the international trade pattern of host countries
Authors: Wang Zihao
Published: October 2024

This paper aims to explore the impact of foreign direct investment (FDI) on the international trade patterns of host countries. Based on a comprehensive analysis of relevant domestic and foreign literature, this study sorted out the basic theoretical framework of the interaction between FDI and international trade. On this basis, using the latest panel data and econometric methods, this study conducted an empirical analysis of how FDI affects the export structure, import structure and trade balance of host countries. The findings indicate that foreign direct investment (FDI) plays a crucial role in enhancing the technological advancement of host nations, boosting the sophistication and value of exported goods, and aiding in the diversification of imported products while decreasing reliance on specific raw materials and technologies. In addition, the study also found that FDI can help the host country to improve its trade deficit and enhance its position in the global value chain. Finally, this paper further verifies the above conclusions through case analysis, and puts forward some policy suggestions for the government, including optimizing the foreign investment introduction policy, strengthening the cooperation between local enterprises and foreign enterprises, so as to make better use of FDI to promote the sustainable and healthy economic development of the host country. This study offers a new perspective for understanding the dynamic relationship between FDI and international trade, but also provides an empirical basis for formulating more effective foreign investment policies.
Research on the Interaction between International Law and Domestic Law based on the Perspective of International Politics
Authors: Li Longfei
Published: October 2024

As globalization ushers in a new age, the interaction between local and international law has reached a high point. As a result, in order to successfully fulfill the international community's expectations for legal coordination, interactive proposals based on the governance concept of defending the rule of law as the soul must be issued. In line with the natural logic of mixing soft and hard law in globalization, a theoretical analytical framework for the interaction growth of international and domestic law is constructed based on the dynamic evolution of international politics. From the standpoint of theoretical boundary changes and practical deduction of interactive development, this framework can explain the development mechanism jointly generated by the “interaction” mechanism and the “governance” cycle mechanism, which involve the participation of international and domestic law. It may also continue to investigate the possibilities of advancing toward the aim of high-quality development of the rule of law system. The purpose of the interaction development of domestic and international law is to increase the satisfaction of international collaboration, to continually enhance the quality of the rule of law system, and to establish a legal framework that meets global governance requirements. To achieve high-quality development of the interaction between international law and domestic law, promote the improvement of the global governance system, and truly meet the needs of the international community, steps like strengthening legal control based on the internal circulation of international law quality, building mechanisms for interaction and adaptation between international law and domestic law quality perception, and establishing an evaluation system.
The Impact of Leadership on Employee Performance: A Case Study Based on Huawei
Authors: Zhang Chen
Published: October 2024

In today’s society, business leaders increasingly attach great importance to leadership that can inspire employees’ enthusiasm for work and make the entire company more orderly. The whole company is united and working towards the company’s common goals. 0Leadership consists of a variety of elements, such as the leader’s personality, the leader’s values, emotional intelligence, the leader’s ability to adapt and solve problems. At the individual employee level, the higher an employee’s level of expertise, higher workability, higher work motivation, more growth opportunities, and higher potential will lead to better performance. Therefore, high-quality leadership has a vital role in promoting employee performance. This paper discusses the definitions of leadership and employee performance, analyzes the case of Huawei, illustrates the influence of leadership on employee performance, and makes management-related suggestions regarding corporate governance.
Research on the Change and Countermeasures of College Students’ Employment Trend Based on Big Data Analysis
Authors: Liu Yixuan
Published: October 2024

As information technology surges into a new era, China’s economy and society have entered a stage of high-quality development. It is imperative to put forward new propositions that better meet the demands of the principal social contradictions in the new era of higher education by centering on the people- oriented. A theoretical analysis framework for higher education development can be constructed following the internal logic of economic and social development, drawing upon the dynamic evolution of big data analysis. This framework can elucidate the development mechanism of higher education, which is jointly shaped by the allocation mechanism of higher education resources involving both the market and the government, as well as the quality assurance cycle mechanism of higher education. Furthermore, it can continue to explore the possibilities of advancing towards the goal of high-quality development in education modernization from the perspectives of the stage changes and practical evolution of higher education development.
Research on the Application and Innovation of Digital Technology in the Sports Industry
Authors: Luo Tianzhuo
Published: October 2024

With the profound development of digital technology, the digital transformation of the global sports industry has received increasing attention. This paper primarily conducts a comparative analysis of the application characteristics, innovative practices, research methodologies, and social impacts of digital technology in the sports industry. The study found that the application of digital technology has had a significant impact on the sports industry, with notable differences observed in the areas of digital transformation, intelligent services, and personalized experiences within the industry. It also unveiled the process of digital transformation in the sports industry. The conclusion of this paper holds that research on the sports industry from a digital technology perspective contributes to enhancing understanding of the digitalization of the sports industry and promotes innovative development within it.
New Trends in Digital Marketing: Analysis of Personalized Brand Communication and User Interaction Effect - Taking Xiaohongshu Platform as an Example
Authors: He Xin
Published: October 2024

In the development of digital marketing, personalized brand communication, and user interaction analysis have become key components of enterprise strategy. Taking the Xiaohongshu platform as the research object, this article deeply explores how brands can use personalized communication strategies to establish emotional connections with users under new trends, thereby improving user participation and loyalty, and ultimately achieving the goal of enhancing brand image and market competitiveness. Firstly, this article analyzes the characteristics of the Xiaohongshu platform and its role in digital marketing. As a platform that integrates social networking and e-commerce, Xiaohongshu provides a unique environment for brands to attract and maintain user attention through high-quality content and precise target positioning. Next, the article discusses in detail the specific implementation methods of personalized communication strategies. This includes utilizing data analysis to understand user needs, creating content related to users’ personal experiences and interests, and enhancing user engagement through interaction and feedback mechanisms. Finally, this article evaluates the impact of these strategies on user loyalty and brand image. Research has shown that effective personalized communication can not only enhance users’ sense of brand identity but also increase their participation in brand activities, thereby gaining an advantage for the brand in a fiercely competitive market. In summary, this article provides profound insights into brand personalized communication strategies under the new trend of digital marketing and practical guidance for enterprises on how to maintain competitiveness in rapidly changing market environments.
What Factors Impact the Psychological Health Development of Children in Orphanages?
Authors: Li Jiayi
Published: October 2024

This paper delves into the multifaceted factors that significantly impact the psychological well- being of children residing in orphanages. It focuses primarily on four key dimensions: stability, early life experiences, robust support systems, and the significance of cultural identity. The paper examines how the provision of consistent and reliable care plays a pivotal role in shaping children’s mental health while also considering the detrimental effects of exposure to traumatic events. Additionally, it discusses how community engagement and solid cultural connections contribute to the social development of these children. While acknowledging the limitations of existing research in this area, the study underscores the crucial importance of fostering supportive environments and preserving cultural heritage in promoting healthy development among orphaned children. The paper argues that improving the quality of care provided to these vulnerable individuals and fostering their cultural ties can effectively foster stable and positive growth trajectories in their lives. These efforts are essential for ensuring that these children can achieve their full potential and thrive in an often-challenging world.
Research on Product Design Based on User Experience and Sharing Cultural Heritage
Authors: Jiang Yue
Published: October 2024

Unreasonable user behavior in designing products and passing down cultural heritage may result in a cultural identity crisis, presenting a significant obstacle to establishing a high-quality cultural heritage setting. This paper focuses on studying the irrational behavior of users in product design and inheritance culture, examining its main features and characteristics. In addition, after an in-depth analysis of the emotional presentation and causes of users’ irrational expressions, we propose coping strategies to improve the user experience and correct their behavior. By enhancing cultural self-awareness, improving the design process and user engagement, and fostering intercultural communication, we will support cultural heritage’s balanced and sustainable growth.
An Analysis of the Effectiveness of Listening Activities in Improving English Learning/Reading (L2 Language-English)
Authors: Hsu Yen Hui
Published: October 2024

This study delves into the important role of listening activities in improving the effectiveness of English listening learning, covering multiple aspects such as the design, implementation, interaction, evaluation, and feedback of classroom and home listening activities at different stages from primary school to high school. The study points out that listening plays a core role in language learning and significantly improves students’ oral, reading, and writing abilities. By designing diverse listening activities and achieving effective teacher-student and student-student interaction and cooperation, students’ English listening proficiency can be significantly enhanced, promoting the comprehensive development of their language abilities. At the same time, the study also emphasized the crucial role of evaluation and feedback in listening teaching, advocating that teachers should develop scientific and reasonable evaluation standards based on students’ age characteristics and cognitive levels and provide students with timely, specific, and targeted feedback. We believe that in the future, with the continuous updating of educational technology and teaching concepts, the positive role of listening input in improving students’ reading ability will be more widely recognized and applied, helping students achieve a leap in reading ability and further promoting the comprehensive improvement of English teaching quality.
Analysis and Study on the Effects of Exercise on the Emotions and Psychological Stress of the Elderly Population
Authors: Lin Xinqi
Published: October 2024

This paper delves into the impact of exercise on the emotions and psychological stress of the elderly population, aiming to reveal the important role of exercise in promoting their mental health. Through a systematic literature review and rigorous empirical research, this paper analyzes how exercise effectively improves the emotional state of the elderly population and alleviates their psychological stress reactions. The research results show that moderate exercise can not only significantly improve the emotional stability and positivity of the elderly population but also effectively regulate stress hormone levels and improve their cognitive evaluation of psychological stress. These findings indicate that exercise, as a non-pharmacological intervention, significantly promotes the mental health of the elderly population. Based on these findings, this paper further proposes application strategies for exercise intervention in the mental health of the elderly population, aiming to provide scientific and effective exercise guidance for older people, help them better manage emotions, cope with psychological stress, and thus improve overall quality of life and happiness. This research is significant for promoting the theoretical and practical development of elderly mental health.
Challenges and Solutions of Human-Computer Interaction in the Digital Transformation of Education
Authors: Cheng Feng
Published: October 2024

The digital transformation of education has become an inevitable trend in global education, which benefits from the rapid development of information technology. Human-computer interaction (HCI) technology has been the main driving force behind this transformation, offering substantial benefits in enhancing teaching efficiency, diversifying teaching approaches, and fostering personalized learning. Through HCI, educational institutions can provide students with more flexible and diverse learning experiences, help teachers understand students’ learning progress and needs, and thus develop more precise teaching plans. However, applying HCI in education is difficult and has many challenges. Specifically, problems such as technology maturity, data security, privacy protection, the transformation of educational concepts, teachers’ digital teaching ability, students’ adaptability differences, and user experience and emotional interaction are particularly prominent. They not only hinder the wide application of HCI in education but also pose obstacles to the overall digital transformation of education. This paper aims to investigate the application status of HCI in the digital transformation of education, identify the challenges it is facing, and suggest potential solutions to provide a valuable reference for the digital transformation of education.
The influence of cognitive style differences on foreign language learning strategies
Authors: Zhuo Hongyu
Published: October 2024

Finding out how different cognitive styles affect the strategies chosen for learning a foreign language was the driving force behind this research. The rapid pace of globalization has made fluency in more than one language an essential component of every well-rounded person’s toolbox. However, in the actual learning process, there are significant achievement differences between students, which is not only related to language talent, but also influenced by individual cognitive style. By reviewing the relevant literature, this paper gives a clear definition and classification of cognitive style, and gives an overview of foreign language learning strategies. On this basis, 150 foreign language learners from different schools were surveyed by a combination of questionnaire and interview. Students’ use of various tactics for learning a foreign language is influenced by their cognitive styles, according to the results. Metacognitive methods are more commonly used by students who are independent in their subject, whereas field-dependent students depend more on tactics that involve social and emotional support. Furthermore, the study concluded that in order to maximize the effectiveness of instruction, educators should use more individualized approaches that take into account individuals’ unique cognitive styles. In addition to offering concrete recommendations for enhancing the current state of foreign language instruction, this study offers a fresh viewpoint on the unique characteristics of language learners.
Research and Practice on the Importance of Diversity and Inclusive Culture in Human Resource Management
Authors: Yang Mingyi
Published: October 2024

In the contemporary era of globalization and social diversity, diversity and inclusive culture have become key aspects of human resource management. This culture promotes the integration of different backgrounds and perspectives, which can effectively enhance employees’ creativity, the company’s innovation capabilities, and market competitiveness. This article explores the importance of diversity and inclusive culture in human resource management and analyzes how to promote and practice this culture in practical work. Firstly, the definitions of diversity and inclusivity and their potential benefits to the enterprise have been determined. Secondly, it analyzed how to embody diversity and inclusivity in employee recruitment, development, and retention. In addition, discussions were held on how to develop this culture through training and leadership, as well as how to improve the overall working environment of the enterprise by establishing and promoting diversity and inclusivity policies. This article emphasizes that the cultivation of diversity and inclusivity is not only a moral requirement but also an important component of corporate strategy, which is crucial for attracting and maintaining global talent and consumers.