Current Direction Research Articles

Propagation of sharp wave-ripple activity in the mouse hippocampal CA3 subfield in vitro.

Sharp wave-ripple complexes (SPW-Rs) are spontaneous oscillatory events that characterize hippocampal activity during resting periods and slow-wave sleep. SPW-Rs are related to memory consolidation - the process during which newly acquired memories are transformed into long-lasting memory traces. To test the involvement of SPW-Rs in this process, it is crucial to understand how SPW-Rs originate and propagate throughout the hippocampus. SPW-Rs can originate in CA3, and they typically spread from CA3 to CA1, but little is known about their formation within CA3. To investigate the generation and propagation of SPW-Rs in CA3, we recorded from mouse hippocampal slices using multi-electrode arrays and patch-clamp electrodes. We characterized extracellular and intracellular correlates of SPW-Rs and quantified their propagation along the pyramidal cell layer of CA3. We found that a hippocampal slice can be described by a speed and a direction of propagation of SPW-Rs. The preferred propagation direction was from CA3c (the subfield closer to the dentate gyrus) toward CA3a (the subfield at the boundary to CA2). In patch-clamp recordings from CA3 pyramidal neurons, propagation was estimated separately for excitatory and inhibitory currents associated with SPW-Rs. We found that propagation speed and direction of excitatory and inhibitory currents were correlated. The magnitude of the speed of propagation of SPW-Rs within CA3 was consistent with the speed of propagation of action potentials in axons of CA3 principal cells. KEY POINTS: Hippocampal sharp waves are considered important for memory consolidation; therefore, it is of interest to understand the mechanisms of their generation and propagation. Here, we used two different approaches to study the propagation of sharp waves in mouse CA3 in vitro: multi-electrode arrays and multiple single-cell recordings. We find a preferred direction of propagation of sharp waves from CA3c toward CA3a - both in the local field potential and in sharp wave-associated excitatory and inhibitory synaptic activity. The speed of sharp wave propagation is consistent with the speed of action potential propagation along the axons of CA3 pyramidal neurons. These new insights into the dynamics of sharp waves in the CA3 network will inform future experiments and theoretical models of sharp-wave generation mechanisms.

Direct coupling of light to valley current

The coupling of circularly polarized light to local band structure extrema ("valleys”) in two dimensional semiconductors promises a new electronics based on the valley degree of freedom. Such pulses, however, couple only to valley charge and not to the valley current, precluding lightwave manipulation of this second vital element of valleytronic devices. Contradicting this established wisdom, we show that the few cycle limit of circularly polarized light is imbued with an emergent vectorial character that allows direct coupling to the valley current. The underlying physical mechanism involves the emergence of a momentum space valley dipole, the orientation and magnitude of which allows complete control over the direction and magnitude of the valley current. We demonstrate this effect via minimal tight-binding models both for the visible spectrum gaps of the transition metal dichalcogenides (generation time ~ 1 fs) as well as the infrared gaps of biased bilayer graphene ( ~ 14 fs); we further verify our findings with state-of-the-art time-dependent density functional theory incorporating transient excitonic effects. Our findings both mark a striking example of emergent physics in the ultrafast limit of light-matter coupling, as well as allowing the creation of valley currents on time scales that challenge quantum decoherence in matter.

Changing the vector of Russia’s foreign economic activity in the context of growing anti-Russian sanctions

The article examines the change in the direction of foreign economic activity (hereinafter referred to as FEA) of the Russian Federation (hereinafter referred to as RF, Russia) in the current conditions of growing anti-Russian sanctions. The relevance of the study lies in assessing transformations in the FEA vector of Russia in the context of expansion of these sanctions, initially introduced in 2014, and their strengthening after the start of the special military operation in Ukraine in 2022. The purpose of the article is to explore causes, directions, and consequences of the changing vector amid the growing restrictions. The subject of the study is current directions of the FEA and their transformation under the influence of the anti-Russian sanctions. The objectives of the article include: analysis of the present Russian FEA vectors; consideration of factors determining their change; modern trends in the foreign trade activities of the RF; assessment of promising directions of the transformation in the Russian FEA; assessment of the impact of the anti-Russian sanctions on the structure and vectors of Russia’s foreign trade activities; influence of the restrictions on the country’s banking sector. The study is based on the analysis of the legislative framework on the Russian FEA, relevant publications on the FEA and statistical information from the Federal Customs Service of the RF. The article considers the main provisions of the modern regulatory framework governing the FEA, foreign trade turn-over of Russia with friendly and unfriendly countries. In conclusion, the article notes the process of transformation of the Russian FEA which consists of its reorientation to states that did not support sanctions against Russia and further development of foreign economic relations with the countries of the Eurasian Economic Union, Shanghai Cooperation Organisation, BRICS (Brazil, Russia, India, China, South Africa), and other friendly states.

Has anyone seen the kid? Looking for the principal-student relationship within the historical conceptions of the principalship

ABSTRACT The school principal is often viewed as a distant authority figure, especially in students’ eyes. However, this ignores the role’s complexity and potential to impact students. Emerging research on the principal-student relationship reveals that these direct interactions play an important role in improving student and school outcomes and are an essential component of effective school leadership. However, the phenomenon remains vastly underexplored in the literature. This prompts us to explore the phenomenon more deeply and from different angles in order to establish its theoretical and conceptual foundations. As history can better illuminate current understandings and directions for the future, this paper looks for the place of the student in the histories of the American principalship and begins to provide a deeper understanding of why the phenomenon has been largely absent from our conceptions of school leadership. Fortunately, recent shifts in some of these conceptions provide promise for the phenomenon’s future.

A Scoping Review of Intervention Implementation for Self-Care Skills among Children with Developmental Delay.

Difficulties with self-care skills are frequently observed in children with developmental delays. Given the scarcity of robust evidence backing self-care interventions for this group, this scoping review is designed to aggregate existing literature on the implementation of such interventions. Therefore, this scoping review aims to collate literature on the nature of self-care intervention implementation to increase understanding of the current practice and inform future research directions. This scoping review endeavoured to explore the body of literature concerning the existence of self-care interventions and their implementation strategies in children who have developmental delays. Relevant studies were identified by searching through the following databases: Web of Science (W0S), Scopus, ASEAN Citation Index (ACI), CINAHL EBSCO and PubMed. Six types of interventions using various approaches were identified. Occupational therapists mainly manage intervention providers with multidisciplinary co-facilitator and parents' involvement. Whilst session information varied, some evidence suggests that at least 30 min per session, minimum once per week up to twice per week, ranging from 10 to 23 sessions, may be sufficient. Intervention plans should be tailored to each child's unique needs, taking into account the variety of available interventions. Collaboration among occupational therapists, parents, educators and health professionals in home programmes enhances self-care intervention outcomes. These results are set to inform future research and practice, paving the way for enhanced support and improved outcomes for children with developmental delays.

Kinematic Stability Analysis of Anchor Cable Structures in Submerged Floating Tunnel under Combined Parametric–Vortex Excitation

The submerged floating tunnel is a marine transportation infrastructure that links two shorelines. The tunnel tube body’s buoyancy exceeds gravity, with anchoring ensuring equilibrium. Anchoring reliability is crucial. This study presents a three-way coupled kinematic model for the mooring structure, formulated on Hamilton’s principle and Kirchhoff’s assumption. It explores the impact of the tube body’s buoyancy-to-weight ratio and the sea current’s angle of incidence on mooring motion response. By solving the motion analysis model, Hill’s equation system is derived to assess the parameter instability of the anchor cable structure. The coefficient of excitation instability intervals for the submerged floating tunnel is determined and validated. The findings indicate the following: (1) Increasing the float-weight ratio reduces displacement response amplitudes in all directions, bringing downstream and transverse currents closer to their initial positions; (2) Changes in current direction angles result in decreased downstream excitation strength and increased transverse displacement response with the same excitation direction; (3) The instability interval visualization effectively predicts anchor cable structure instability under parametric excitation. Structures within the instability region are deemed unstable, while those outside are considered stable.

Noise-induced transport in a periodic square-well potential

We investigate a thermal ratchet based on a Brownian particle in a spatially periodic square-well potential driven by a time-dependent square-wave signal. In this model, we rock the Brownian particle between two square-well potentials tilted in opposite directions to induce a net current. Employing the Stratonovich formula and an independent approach using suitable boundary conditions and a normalization condition, we obtain an exact expression for the current in the adiabatic limit, and we observe that there are optimal values of various parameters at which the current can be maximized. In several parameter regimes, our simple non-linear model displays a behavior distinct from some other models of a rocked ratchet. For example, a reversal in the current direction is observed as the square-wave signal’s amplitude or the thermal bath’s temperature is varied. However, under similar conditions, no such current reversal was seen in the case of a periodically rocked Brownian motor in a sawtooth or a smooth potential. Furthermore, unlike the latter type of rocked Brownian motors, the square-well model yields zero current in the deterministic limit, as thermal energy is indispensable for the functioning of the motor.

Exploring Digital Technologies for Addressing Risk Factors of Solitary Death in South Korea

South Korea has experienced rapid aging, and it is predicted that people aged 65 years or older will account for 20% of the total population by 2047. The proportion of one-person households is also increasing rapidly at the same time, and is expected to account for 37% of the total number of households by 2047. Such a demographic shift has led to more isolated households and social isolation, and consequently, to higher risks of solitary deaths. Central and local governments have implemented various measures, such as care services for the elderly living alone and regular checks on their status; however, there are limitations due to workforce and budget constraints. Therefore, it is necessary to explore innovative solutions that utilize digital technologies such as the internet of things (IoT) and artificial intelligence (AI) as new low-cost, high-efficiency alternatives. Innovations in digital technology have the potential to suggest new solutions to the issue of solitary death. Advanced technologies can play an important role in maximizing the effectiveness of solitary death prevention, management, and the prevention of social isolation. Although there is a growing body of research on the development of digital technology-based care services for the elderly, these studies have primarily focused on the applicability and early implementation stages of specific technologies. These studies have limitations in fully understanding the market trends of technologies and competition patterns within the industry. Therefore, it is essential to investigate trends in the latest technologies and R&D directions in a particular technology field through patents filed to protect new technologies. This study is intended to contribute to an in-depth understanding of the current status and development direction of digital technologies for the prevention of solitary deaths, and to provide a basis for future technology development. This study also contributes to establishing government policies and R&D strategies.

Interdiffusion behaviors and mechanical properties of Zr–Hf system

In this work, Zr–Hf diffusion couples were firstly prepared by Spark Plasma Sintering (SPS) method and the diffusion behavior and mechanical properties of the Zr–Hf system in temperatures range from 1300 to 1600 °C were investigated in detail. The microstructure characterization by SEM and TEM reveals that Zr–Hf diffusion zone form some amorphous and nanocrystalline grains in local area. Then the hardness and Young's modulus of the Zr–Hf system in the diffusion zone were tested and the results show that the hardness and Young's modulus of the alloy system was enhanced by solid solution Hf element, and the maximum hardness and Young's modulus in the diffusion zone reached to 10.74GPa and 203.5GPa, respectively. Finally, based on the profiles of Electron probe microanalysis (EPMA), the interdiffusion coefficient is composition-dependent. The value calculated by Sauer-Freise method is between 10−13 m2/s and 10−11 m2/s, which indicating that SPS diffusion annealing significantly enhances the diffusion rate of the Zr–Hf system. Meanwhile, the current direction has negligible effect on the diffusion of Zr–Hf system and the interdiffusion coefficient decreases slowly with increasing Hf concentration. The diffusion activation energy Q and the frequency factor D0 of the Zr–Hf binary system in this experiment ranges from 196 to 215 kJ/mol and 3.9 × 10−6 to 6.8 × 10−5 m2/s, respectively.

Strong and weak alignment of large language models with human values

Minimizing negative impacts of Artificial Intelligent (AI) systems on human societies without human supervision requires them to be able to align with human values. However, most current work only addresses this issue from a technical point of view, e.g., improving current methods relying on reinforcement learning from human feedback, neglecting what it means and is required for alignment to occur. Here, we propose to distinguish strong and weak value alignment. Strong alignment requires cognitive abilities (either human-like or different from humans) such as understanding and reasoning about agents’ intentions and their ability to causally produce desired effects. We argue that this is required for AI systems like large language models (LLMs) to be able to recognize situations presenting a risk that human values may be flouted. To illustrate this distinction, we present a series of prompts showing ChatGPT’s, Gemini’s and Copilot’s failures to recognize some of these situations. We moreover analyze word embeddings to show that the nearest neighbors of some human values in LLMs differ from humans’ semantic representations. We then propose a new thought experiment that we call “the Chinese room with a word transition dictionary”, in extension of John Searle’s famous proposal. We finally mention current promising research directions towards a weak alignment, which could produce statistically satisfying answers in a number of common situations, however so far without ensuring any truth value.

Exploring GVS as a display modality: signal amplitude and polarity, in various environments, impacts on posture, and with dual-tasking.

Galvanic Vestibular Stimulation (GVS) has been proposed as an alternative display modality to relay information without increasing demands on the visual or auditory sensory modalities of the wearer or in environments where those modalities cannot be used (e.g., covert night operations). We further investigated this concept with four experiments designed to test: (1) thresholds at which subjects could distinguish between different GVS current amplitudes and polarities, (2) thresholds at which different bipolar (i.e., sinusoidal waveform with current oscillating between left and right directions) current frequencies were distinguishable among room temperature, hot, cold, and windy environments, (3) effects of unipolar (i.e., sinusoidal waveform with current occurring in only the left or right direction) currents on balance performance, and (4) dual-task performance among frequency and polarity modulated GVS conditions during a concordant visual search task. Subjects reliably distinguished between current amplitudes that varied from a pedestal of ± 0.6mA by a median of 0.03mA (range of 0.02-0.32mA) and between unipolar currents at a median amplitude of 0.55mA (range of 0.32-0.83mA). GVS frequency thresholds were robust to the environment conditions tested, with no statistical differences found. Sway and balance errors were increased with unipolar currents. GVS thresholds were not impacted by the dual-task paradigm, but the visual search scores were slightly elevated when congruently performing a polarity thresholding task. Overall findings continue to support GVS use as a display modality, but some limitations are noted, such as the use of unipolar currents under scenarios where postural control is important.

Recent Advances in SCR Systems of Heavy-Duty Diesel Vehicles—Low-Temperature NOx Reduction Technology and Combination of SCR with Remote OBD

Heavy-duty diesel vehicles are a significant source of nitrogen oxides (NOx) in the atmosphere. The Selective Catalytic Reduction (SCR) system is a primary aftertreatment device for reducing NOx emissions from heavy-duty diesel vehicles. With increasingly stringent NOx emission regulations for heavy-duty vehicles in major countries, there is a growing focus on reducing NOx emissions under low exhaust temperature conditions, as well as monitoring the conversion efficiency of the SCR system over its entire lifecycle. By reviewing relevant literature mainly from the past five years, this paper reviews the development trends and related research results of SCR technology, focusing on two main aspects: low-temperature NOx reduction technology and the combination of SCR systems with remote On-Board Diagnostics (OBD). Regarding low-temperature NOx reduction technology, the results of the review indicate that the combination of multiple catalytic shows potential for achieving high conversion efficiency across a wide temperature range; advanced SCR system arrangement can accelerate the increase in exhaust temperature within the SCR system; solid ammonium and gaseous reductants can effectively address the issue of urea not being able to be injected under low-temperature exhaust conditions. As for the combination of SCR systems with remote OBD, remote OBD can accurately assess NOx emissions from heavy-duty vehicles, but it needs algorithms to correct data and match the emission testing process required by regulations. Remote OBD systems are crucial for detecting SCR tampering, but algorithms must be developed to balance accuracy with computational efficiency. This review provides updated information on the current research status and development directions in SCR technologies, offering valuable insights for future research into advanced SCR systems.

Exploring the scientific evolution of collective leadership: a bibliometric analysis from Scopus database

PurposeThis study aims to review the last 50 years of academic research on collective leadership (CL) and how far it has progressed by using the Scopus database and the science mapping technique of bibliometric analysis.Design/methodology/approachThis study has analysed 417 publications from the Scopus database on collective leadership from 1967 to 2023. Data were analysed using MS Excel and VOSviewer.FindingsThere has been research from different parts of the world on the various aspects of collective leadership. In recent years, collective leadership research has gained momentum. However, collective leadership is still at a nascent level when it comes to the applicability of the concepts. So far, the research on collective leadership has relied on themes such as shared leadership and distributed leadership, how collective leadership differs from other similar-looking leadership styles such as transformational leadership, and how this influences followers’ outcomes such as team effectiveness, achievements, relations, commitment, etc. Most of the research so far has been done in the United States of America, the UK and the Australian context. There exists a huge gap for studying collective leadership in African, Middle Eastern and Asian contexts.Research limitations/implicationsCollective leadership research trends may be addressed to enable academics and practitioners to better understand current and future trends and research directions. Future studies in this field might use the findings as a starting point to highlight the nature of the topic.Originality/valueBibliometric techniques provide a far more comprehensive and reliable picture of the field. This article has the potential to serve as a one-stop resource for researchers and practitioners seeking information that can aid in transdisciplinary endeavours by leading them to recognized, peer-reviewed papers, journals and networks.

Fully Optical Control of Polarization Current Direction in a Cyanide-Bridged Trinuclear Complex.

As a remote and non-contact stimulus, light offers the potential for manipulating the polarization of ferroelectric materials without physical contact. However, in current research, the non-contact write-read (erase) process lacks direct observation through the stable current as output signal. To address this limitation, we investigated the photoinduced polarization switching capabilities of the cyanide-bridged compound [Fe2Co] using visible light, leading to the achievement of rewritable polarization. By subjecting [Fe2Co] crystals to alternating irradiation with 785 nm and 532 nm light, the polarization changes exhibited a distinct square wave pattern, confirming the reliability of the writing and erasing processes. Initialization involved exposing specific crystal units to 532 nm light for storing "1" or "0" information, while reading was accomplished by scanning the units with 785 nm light, resulting in brief current pulses for "1" states and no current signal for "0" states. This research unveils new possibilities for optical storage systems, paving the way for efficient and rewritable data storage and retrieval technologies, such as the next-generation memories.

Technological Advances in the Diagnosis of Cardiovascular Disease: A Public Health Strategy.

This article reviews technological advances and global trends in the diagnosis, treatment, and monitoring of cardiovascular diseases. A bibliometric analysis was conducted using the SCOPUS database, following PRISMA-ScR guidelines, to identify relevant publications on technologies applied in the diagnosis and treatment of cardiovascular diseases. An increase in scientific output since 2018 was observed, reflecting a growing interest in the technologies available for the treatment of cardiovascular diseases, with terms such as "telemedicine", "artificial intelligence", "image analysis", and "cardiovascular disease" standing out as some of the most commonly used terms in reference to CVDs. Significant trends were identified, such as the use of artificial intelligence in precision medicine and machine learning algorithms to analyse data and predict cardiovascular risk, as well as advances in image analysis and 3D printing. Highlighting the role of artificial intelligence in the diagnosis and continuous monitoring of cardiovascular diseases, showing its potential to improve prognosis and reduce the incidence of acute cardiovascular events, this study presents the integration of traditional cardiology methods with digital health technologies-through a transdisciplinary approach-as a new direction in cardiovascular health, emphasising individualised care and improved clinical outcomes. These advances have great potential to impact healthcare, and as this field expands, it is crucial to understand the current research landscape and direction in order to take advantage of each technological advancement for improving the diagnosis, treatment, and quality of life of cardiovascular patients. It is concluded that the integration of these technologies into clinical practice has important implications for public health. Early detection and personalised treatment of cardiovascular diseases (CVDs) can significantly reduce the morbidity and mortality associated with these diseases. In addition, the optimisation of public health resources through telemedicine and telecare can improve access to quality care. The implementation of these technologies can be a crucial step towards reducing the global burden of cardiovascular diseases.

Current and future research directions in cellular metabolism of colorectal cancer: A bibliometric analysis

The primary aim of this study was to analyze the evolving trends and key focal points in research on cellular metabolism of colorectal cancer (CRC). Relevant publications on cellular metabolism in CRC were sourced from the Science Citation Index Expanded within the Web of Science Core Collection database. Bibliometric analysis and visualization were conducted using VOSviewer (version 1.6.18) software and CiteSpace 6.1.R6 (64-bit) Basic. A comprehensive compilation of 4722 English-language publications, covering the period from January 1, 1991 to December 31, 2022, was carefully identified and included in the analysis. Among the authors, “Ogino, Shuji” contributed the most publications in this field, while “Giovannucci, E” garnered the highest number of citations. The journal “Cancer Research ” ranked first in both publication volume and citations. Institutionally, “Shanghai Jiao Tong University” emerged as the top contributor in terms of published articles, while “Harvard University” led in citation impact. In country-based analysis, the United States held the top position in both publication output and citations, closely followed by China. The increasing recognition of the significance of cellular metabolism in CRC underscores its potential for novel therapeutic approaches aimed at improving CRC management and prognosis.

Exploring the Current Status and Direction of Traditional Village Value Assessment Research Based on Citespace

Traditional villages are a valuable "gene pool" for the transmission of outstanding traditional Chinese culture. With the development of Chinese modernization and urbanization, the protection and development of traditional villages have received more and more attention from all levels and subjects of the State, and their value as carriers of history, culture and folklore has been generally recognized. However, there still exists a lack of public awareness of traditional villages, which has brought a great impact on the protection and development of traditional villages. As a result, research themes such as traditional village protection and development strategies, living heritage and centralized and contiguous protection are increasingly being paid attention to and evaluated by all sectors of society.The purpose of this paper is to analyze the knowledge mapping of the literature related to the value assessment of traditional villages at home and abroad through the application of CiteSpace software, to sort out and summarize the literature, and to discuss its future development direction in a targeted manner, so as to provide scientific guidance and reference for future research on the value assessment of traditional villages.

Spatially organized striatal neuromodulator release encodes trajectory errors.

Goal-directed navigation requires animals to continuously evaluate their current direction and speed of travel relative to landmarks to discern whether they are approaching or deviating from their goal. Striatal dopamine and acetylcholine are powerful modulators of goal-directed behavior, but it is unclear whether and how neuromodulator dynamics at landmarks incorporate relative motion for effective behavioral guidance. Using optical measurements in mice, we demonstrate that cue-evoked striatal dopamine release encodes bi-directional 'trajectory errors' reflecting relationships between ongoing speed and direction of locomotion and visual flow relative to optimal goal trajectories. Striatum-wide micro-fiber array recordings resolved an anatomical gradient of trajectory error signaling across the anterior-posterior axis, distinct from trajectory error independent cue signals. Dynamic regression modeling revealed that positive and negative trajectory error encoding emerges early and late respectively during learning and over different time courses in the medial and lateral striatum, enabling region specific contributions to learning. Striatal acetylcholine release also encodes trajectory errors, but encoding is more spatially restricted, opposite polarity, and delayed relative to dopamine, supporting distinct roles in modulating striatal output and behavior. Dopamine trajectory error signaling and task performance were reproduced in a reinforcement learning model incorporating a conjunctive state space representation, suggesting a potential neural substrate for trajectory error generation. Our results establish region specific neuromodulator signals positioned to guide the speed and direction of locomotion to reach goals based on environmental landmarks during navigation.

Application of Machine Learning in the field of Heart Disease Prediction and its Accuracy Study

The application of machine learning in the healthcare sector is a prominent area of research presently. Among these, there is significant potential in employing machine learning for predicting and treating heart disease. Hence, this study aims to explore the accuracy and application of machine learning models in predictive diagnosis and treatment of heart disease. This paper first presents commonly used machine learning algorithms within relevant fields, followed by gathering data and instances showcasing the use of machine learning in predicting and treating heart disease. Through data analysis, this study summarizes current cutting-edge development directions, trends, as well as the integration of machine learning algorithms into real medical processes. Finally, it concludes by summarizing the existing prospects and challenges faced by machine learning in predicting and treating heart disease. This paper can serve as a valuable source of inspiration and reference for researchers involved in related fields concerning heart disease prediction and treatment.

The electron resistance of a single skyrmion within ballistic approach

An alternative way of skyrmion quasi-particle detection is simulated at low voltage bias. The point contact (PC), attached to the strip with a Néel-type skyrmion, can detect it with a higher efficiency than a magnetic tunnel junction. The method is based on detecting the skyrmion via the ballistic magnetoresistance ratio (BRR). PC's resistance with skyrmion significantly differs from the one without it. BRR is estimated in the framework of the point contact model for two directions of spin-polarized current: perpendicular to the transport direction (case 1) and along one (case 2). Skyrmion's size is assumed to be around 3.6 nm in diameter—smaller, or comparable, to the mean free path of electrons, allowing it to utilize the ballistic transport approach. As a result, resistance values for the considered Néel type skyrmion within the related size are estimated as 157 Ω for case 1 and 452.2 Ω for case 2 with optimistic BRR 101.3% and 291.7%, respectively. BRR for case 2 is higher due to the spin-filtering effect. The method also has the potential to detect the skyrmion type, or other magnetic nano structures such as bimeron, domain wall (DW), etc.