Circuit Theory Research Articles

Construction of the Ecological Security Pattern in Xishuangbanna Tropical Rainforest Based on Circuit Theory

Urban modernization and economic globalization have led to significant changes in traditional natural landscapes. The unregulated and large-scale expansion of rubber plantations in Xishuangbanna has resulted in water and scenic forests being replaced by rubber forests and the complex rainforest ecosystem being replaced by simple artificial forests. This has resulted in increasingly prominent ecological problems such as soil erosion, regional microclimate changes, and sharp declines in biodiversity. The ecological security pattern is an important way to protect regional ecological sustainability. Taking the tropical rainforest in Xishuangbanna as an example, this study identified ecological sources through the evaluation of the importance of ecosystem services, constructed resistance surfaces through ecological sensitivity evaluation, and used circuit theory to simulate ecological processes in heterogeneous landscapes by calculating “electricity” or “resistance”, thereby identifying ecological corridors and key ecological nodes. The results identified 31 ecological source areas, 65 key ecological corridors, 7 potential ecological corridors, 37 ecological pinch points, and 99 ecological barriers. The overall distribution of ecological sources was scattered, with higher density in the northwest and southeast regions. Ecological corridors were distributed along high mountains, and both ecological sources and corridors were mainly composed of forest land. Based on circuit theory, this study filled the gap in the MCR model’s inability to identify the true width of corridors due to ignoring the randomness of biological migration. It determined the spatial range of ecological corridors and the specific locations of ecological nodes and barriers, providing a reference for solving ecological problems in Xishuangbanna, such as “rainforest fragmentation”.

Computational dielectric spectroscopy on solid-solution interface by time-dependent voltage applied molecular dynamics simulation.

A frequency-dependent dielectric constant characterizes the dielectric response of a medium and also represents the time scale of system's collective dynamics. Although it is valuable not only academically but also practically for developing advanced devices, getting the value of a solution at the interface with a solid or electrode surface is challenging both experimentally and computationally. Here, we propose a computational method that imitates the dielectric spectroscopy and AC impedance measurement. It combines a time-dependent voltage applied molecular dynamics simulation with an equivalent circuit representation of a system composed of a solution confined between two identical electrodes. It gives the frequency-dependent dielectric constants of the bulk solution and the interface simultaneously. Unlike the conventional method, it does not require computation of a dipole autocorrelation function and its Fourier transformation. Application of the method on a system of water confined between polarizable Pt electrodes gives the static dielectric constant and the relaxation time of the bulk water in good agreement with previous simulation results and experimental values. In addition, it gives a much smaller static dielectric constant at the interface, consistent with previous observations. The outline of the dielectric dispersion curve of the interface seems similar to that of the bulk, but the relaxation time is several times faster.

A DC fault current fast-computing method of MMC-HVDC grid with short circuit protection equipment

The multi-terminal modular multi-level converter-based high voltage direct current (MMC-HVDC) grid with short circuit protection equipment (SCPE) is so complex that it is difficult to estimate its fault current and analyze the performance of SCPE by conventional time-domain numerical calculation method, it meets three big obstacles. This paper has made significant progress in overcoming these obstacles. 1). By applying the modern electrical circuit theory, a systematic formulation of the differential equation set for fault current calculation is developed to avoid a lot of complex and cumbersome matrix manual calculations. 2). A novel Y-Delta transformation in the s-domain is proposed to develop an eliminating virtual node approach for a complex MMC-HVDC grid, including the ring, radial, and hybrid topologies. 3). It is difficult to solve the equivalent circuit of MMC-HVDC grid with SCPE since SCPE is a time-variable-nonlinear circuit. A canonical voltage source model of SCPE is established to transform the time-variable-nonlinear circuit into a piecewise linear circuit. Based on the three significant progresses, a DC fault current fast-computing method of MMC-HVDC grid with SCPE is put forward to deal with all kinds of MMC-HVDC grids with several kinds of SCPEs. Then, the performance of several kinds of SCPE is analyzed and compared by this method. Consequently, the proposed DC fault current fast-computing method is a new powerful tool to estimate the fault current of MMC-HVDC grid and analyze the performance of SCPE.

Identification of ecological security patterns of alpine wetland grasslands based on landscape ecological risks: A study in Zoigê County

Climate change and human activities have increased ecological risks and degraded ecosystem functions in alpine wetland grassland regions, where ecological security remains largely unexplored. The construction of ecological security patterns (ESP) can help to synchronize regional ecological security and sustainable development and provide ideas to address these challenges. This article determines the current ESP of Zoigê County, China, by analyzing the spatial and temporal characteristics of landscape ecological risk (LER) and generating an ecological network by combining the InVEST model, the landscape connectivity index, and the circuit theory model. Management zoning and targeted conservation recommendations are proposed. The results indicate that the region has significant spatial heterogeneity in IER. Ecological risk exposure is increasing, with high values mainly concentrated in the central part of the region. Meanwhile, ecological protection areas were identified, which included 2578.44 km2 of ecological sources, 71 key ecological corridors, 25 potential ecological corridors, 4 river ecological corridors, 66 pinch points, and 58 barriers. This study provides a valuable reference for the ecological development of Zoigê County, as well as insights into the formation of ESP in other alpine wetland grassland regions.

Connecting Habitats: Modelling Landscape Connectivity for Large Mammals in Omo-Shasha-Oluwa Forest Reserves, South-West Nigeria

Abstract Preserving landscape connectivity in the Omo-Shasha-Oluwa Forest Reserves is crucial due to human-induced fragmentation, shrinking habitats, and disrupted migration routes for wildlife. From 2014 to 2016, we conducted surveys to gather large mammal presence data, mapping their distribution using the MaxEnt algorithm. Employing Circuitscape software and circuit theory concepts, we predicted connectivity patterns for six large mammal species. Our results consistently showed robust predictive performance, with Area Under the Curve (AUC) values exceeding 0.75 for species distribution models. Notably, we identified suitable habitat patches for seven key species, spanning 1760 km2 for C. civetta, 1515 km2 for T. Scriptus, 729 km2 for L. cyclotis, 1693 km2 for P. porcus, 1350 km2 for C. mona, 1406 km2 for P. maxwellii, and 1379 km2 for C. torquatus. Our analysis highlighted distance to human settlements as the most significant predictor for habitat models concerning T. Scriptus, C. civetta, P. maxwellii, C. torquatus, P. porcus, and C. mona, whereas land use type emerged as a critical factor for L. cyclotis. Furthermore, examination of maximum current flow patterns revealed varying degrees of connectivity among habitat patches, indicating potential bottlenecks to species movement, particularly across major rivers and in areas affected by human activities. These findings offer crucial insights for conservation efforts, guiding strategies to preserve wildlife metapopulation dynamics in the Omo-Shasha-Oluwa Forest Reserves landscape

Media Communication and Cultural Influence in Chinese Malaysian Students’ Career Choice in STEM

There has been a decline of Malaysian students pursuing STEM courses over the past few decades. The democratisation of higher education since the 1980s has seen intense advertising of higher education in local media, which plays a role in shaping students’ career choices. Applying Stuart Hall’s theory of Circuit of Culture, a study deploying advertisements, and a survey with intensive interviews has been conducted to understand media and cultural influences on STEM career choice of Chinese Malaysians. Several factors, including media stereotyping nature of jobs of STEM as laboratory-based and practical activities, lack of curation of distinct images and role models in many STEM careers, lack of experiential exposure in daily social settings, fragmentised science communications, and disconnect of Chinese Malaysians from mainstream national development could have contributed to this decline. The study found that there is no distinct dislike towards STEM by Chinese Malaysians. Rather, for them, there are a wide range of careers beyond STEM, with non-STEM careers appearing to be more attractive in terms of career prospects. Alternative discourses and narratives for STEM careers with reimaging of nature of jobs for STEM careers to reconstruct perception towards STEM via the media and science communications could enhance the attractiveness of STEM careers. Additionally, a multi-disciplinary approach to higher education and promotion of specific STEM careers based on market needs could bring STEM closer to students.

Career as Self-Identity in Chinese Malaysian Students’ Career Choice in STEM

Chinese Malaysians who inherit the traditional Chinese culture have evolved with assimilation of globalisation with colonialism elements to form a myriad of cultural mélange, with an impact on career choice in STEM. Applying Stuart Hall’s theory of circuit of culture, a study deploying obituaries has been used to understand media and cultural influence on STEM career choice. Career as self-identity and social status has influenced Chinese Malaysian students’ career choice, with a hierarchy of prestige among them and medicine occupying the top position. Career choice for them in STEM is found to be limited to a few which are socially visible. In addition, the hegemony of “university”, “degree” over “college”, “diploma”, “vocational” and “training” has resulted in Chinese Malaysians to consider technical and vocational education and training as well as practical-oriented courses in STEM as second choice. This does not augur well for national human resource development in emerging fields in STEM. Alternative discourses and narratives for STEM careers with reimaging of nature of jobs for STEM careers to reconstruct perception towards STEM via the media and science communications could enhance the attractiveness of STEM careers. Additionally, multi-disciplinary approach to higher education and promotion of specific STEM careers based on market needs could bring STEM closer to students.

Alain Parguez and Monetary Circuit Theory: Keys to Understanding the Development of Economies with a Double Monetary Standard

The Monetary Circuit Theory is a key framework to understand the complexity of the insertion of countries with double monetary circuits into the international monetary circuits. In this article, we develop Parguez’s essential ideas for the study of developing countries precisely at a time when financial tensions are being exacerbated due to the pandemic and its consequences as well as to war conflicts internationally. In this essay, we collect the main contributions of Alain Parguez in relation to his theory of the double monetary circuit, which he had expressed in chapters of books published in English and French, later published in Spanish in the journal Ola Financiera and by the Latin American Council of the Social Sciences (CLACSO), as a tribute to a great economist interested in developing countries with a double monetary circuit. Delving into Parguez’s thought provides us with elements to understand monetary economies of production where a general global monetary equivalent coexists with a general equivalent assigned to a national monetary space. The causal relationship between both currencies determines the process of capital accumulation in developing economies, whose formation is anchored to the interests of economic agents that dominate the productive and financial markets.

Systematic design of habitat services network (HSsN) for updating conservation areas in iran's arid and Semi-Arid ecosystems

Threats caused by human activities have reduced the quantity and quality of wildlife habitats connectivity. This research seeks to protect habitat biodiversity by creating a network of high quality habitats that remained. Therefore, it is very necessary to know about the dynamic effects of changes in the landscape pattern on the quality of the habitat, because it helps to preserve biodiversity, guarantee ecological security, and environmental sustainability. In the present study, a systematic process was used to design a network of habitat services comprising hotspots and corridors in arid and semi-arid ecosystems of eastern Iran, South Khorasan Province. In this process, habitat quality was first modeled using the InVEST software, then data mining methods were used to identify habitat hotspots and their spatial distribution. In the next step, habitat corridors were extracted based on the circuit theory and using the Circuitscape software. In the ultimate step, using graph theory based on the concept of ecological security, the connectivity of the habitat network was evaluated. The results of habitat network construction showed that 8% and 6% of the total area of the study area included key habitat patches and corridors, respectively. On the other hand, the overlapping of habitat network components with the conserved areas of the study area showed that free or non-conservation areas make up a significant amount of network components (49.18% of the habitat patch and 80.02% of the habitat corridor). These results reveal the existence of habitat protection potential and can help in updating the new boundaries of conservation areas. Also, the composite indices of dPC and dIIC could determine the importance of each of the network's components in evaluating the connectivity of the habitat network, so that the application of the results can show the priority options to the land managers for protecting the habitat network. In general, the systematic process proposed in this research can be used in planning the sustainable conservation of habitat networks, identifying patterns of ecological security, evaluating and constructing habitat networks in lands with similar climates, and changing and wisely reviewing the conservation area boundaries.

On the elephant trails: habitat suitability and connectivity for Asian elephants in eastern Indian landscape.

Identifying suitable habitats and conserving corridors are crucial to the long-term conservation of large and conflict-prone animals. Being a flagship species, survival of Asian elephants is threatened by human-induced mortality and habitat modification. We aimed to assess the habitat suitability and connectivity of the Asian elephant Elephas maximus Linnaeus, 1758 habitat in the state of Odisha in eastern India. We followed the ensemble of spatial prediction models using species presence data and five environmental variables. We used least-cost path and circuit theory approaches to identify the spatial connectivity between core habitats for Asian elephants. The results revealed that normalized difference vegetation index (NDVI; variable importance 42%) and terrain ruggedness (19%) are the most influential variables for predicting habitat suitability of species within the study area. Our habitat suitability map estimated 14.6% of Odisha's geographical area (c. 22,442 km2) as highly suitable and 13.3% (c. 20,464 km2) as moderate highly suitable. We identified 58 potential linkages to maintain the habitat connectivity across study area. Furthermore, we identified pinch points, bottlenecks, and high centrality links between core habitats. Our study offers management implications for long-term landscape conservation for Asian elephants in Odisha and highlights priority zones that can help maintain spatial links between elephant habitats.

Ecological Security Patterns Research Based on Ecosystem Services and Circuit Theory in Southwest China

The rapid economic development in the Chengdu–Chongqing Economic Circle (CCEC) has exerted significant pressure on the ecological environment of the Sichuan–Chongqing Region in China. Balancing ecological protection and economic development has become an imperative challenge that needs to be addressed. In this study, we employed land use/cover data and environmental threat factors to construct Ecological Security Patterns (ESPs) for the CCEC using the InVEST model and Circuit Theory. The research findings revealed the following key outcomes: (1) The total area of suitable habitat in the CCEC was 208,728.3 km2, accounting for 87.14% of the study area. Habitat quality exhibited regional variations, with higher quality habitats predominantly found in the western and northeastern parts, and lower quality habitats in the central region. (2) The CCEC consisted of areas with low, medium, high, and optimal habitat quality, spanning 140,912.18 km2, 15,341.89 km2, 15,578.38 km2, and 36,895.85 km2, respectively. These areas accounted for 58.83%, 6.40%, 6.50%, and 15.40% of the study area, respectively. (3) The ESPs in the CCEC encompassed 22 ecological nodes, 36 clusters of ecological corridors, and 136 ecological sources. Ecological corridors served as radial connections, linking each ecological node and ecological source along mountain ranges, forested areas, river networks, and valleys. (4) The core ecological regions forming the ESPs of the CCEC included the Qionglai–Minshan–Longquan Mountains in the west, Tiefeng–Fangdou–Qiyue–Wushan Mountains in the east and northeast, and Dalou Mountain in the southeast. These regional-scale findings provide valuable insights for policymakers to implement targeted measures for ecological protection and promote green development. They offer objective guidance and constraints for managing urban expansion and anthropogenic activities, ultimately enhancing the ecological security level of the CCEC.

Simulation of Kirchoff's Law In Ni-Multisim Application to Determining the Current on a Circuit

The increasingly rapid development of technology has given rise to simulation methods used in circuit specifically in dynamic electricity. One of them is the NI-Multisim application which is useful for determining current and voltage values efficiently and effectively with a circuit design that is built first in the application. Research activities were carried out by simulating Khirchoff's law on NI Multisim by building a circuit scheme based on the circuit composition, namely resistance, voltage source and using voltage measuring instruments and current measuring instruments which are all arranged in such a way by referring to electrical circuit theory. The results of this research are that there is a difference in the total resistance value between the values in the circuit kit module practice and the use of Multisim. However, the difference is very small with an error of around 7.83% for the series-parallel circuit. The current value for each resistance which is connected in a mixed manner can be seen that the practical and theoretical values have an error value of 0% to 24.24% respectively located at R3 at the 6V voltage source and R2 at 12V. The current in I3 is equal to the sum of the current in I2 and the current in I1 for each specified voltage variation. The measurement values with the Khirchoff kit module are different from the NI Multisim simulation, but the differences are still relatively small, ranging from 6% to 28%.

On Mechanical and Chaotic Problem Modeling and Numerical Simulation Using Electric Networks

After reviewing the use of electrical circuit elements to model dynamic processes or the operation of devices or equipment, both in real laboratory implementations and through ideal circuits implemented in simulation software, a network model design protocol is proposed. This approach, following the basic rules of circuit theory, makes use of controlled generators to implement any type of nonlinearity contained in the governing equations. Such a protocol constitutes an interesting educational tool that makes it possible for nonexpert students in mathematics to design and numerically simulate complex physical processes. Three applications to mechanical and chaotic problems are presented to illustrate the versatility of the proposed protocol.

Training-Free Quantum Architecture Search

Variational quantum algorithm (VQA) derives advantages from its error resilience and high flexibility in quantum resource requirements, rendering it broadly applicable in the noisy intermediate-scale quantum era. As the performance of VQA highly relies on the structure of the parameterized quantum circuit, it is worthwhile to propose quantum architecture search (QAS) algorithms to automatically search for high-performance circuits. Nevertheless, existing QAS methods are time-consuming, requiring circuit training to assess circuit performance. This study pioneers training-free QAS by utilizing two training-free proxies to rank quantum circuits, in place of the expensive circuit training employed in conventional QAS. Taking into account the precision and computational overhead of the path-based and expressibility-based proxies, we devise a two-stage progressive training-free QAS (TF-QAS). Initially, directed acyclic graphs (DAGs) are employed for circuit representation, and a zero-cost proxy based on the number of paths in the DAG is designed to filter out a substantial portion of unpromising circuits. Subsequently, an expressibility-based proxy, finely reflecting circuit performance, is employed to identify high-performance circuits from the remaining candidates. These proxies evaluate circuit performance without circuit training, resulting in a remarkable reduction in computational cost compared to current training-based QAS methods. Simulations on three VQE tasks demonstrate that TF-QAS achieves a substantial enhancement of sampling efficiency ranging from 5 to 57 times compared to state-of-the-art QAS, while also being 6 to 17 times faster.

Preserving the spots: Jaguar (Panthera onca) distribution and priority conservation areas in Colombia.

The jaguar (Panthera onca) is a charismatic species considered Vulnerable in Colombia but yet largely unknown in the country. The species is mostly threatened by the continuous decline in its habitats, mostly derived from deforestation and habitat loss, additional to hunting and conflicts with humans. Thus, the future of jaguars in Colombia depends on protecting and recovering existing habitats. The aims of this study were to 1) evaluate jaguar distribution and identify the remnant patches of habitat in Colombia, 2) define an ecological connectivity network within the country, and 3) propose a priority areas portfolio for the conservation and recovery of jaguars. We used a presence background model for estimating species potential distribution and subsequently identified remaining habitat patches across the country based on land cover and species-specific ecological attributes. We then created an ecological connectivity network based on circuit theory and following a multi-criteria approach identified jaguar priority areas for conservation (JPCA) and recovery (JPRA). Jaguar potential distribution comprises 1103122.43 km2, from which 56.71% maintain suitable patches of potential habitat. We identified 960 corridors between remnant patches of natural or semi-natural vegetation. Based on the criteria, JPCAs with greater importance were identified in each of the five Colombian regions. JPRAs were located mainly towards the Andean and Caribbean regions. These JPCAs and JPRAs could serve as a guide for designing and implementing management strategies for the long-term conservation and recovery of the species in Colombia.

Evaluation of ecological carrying capacity and construction of ecological security pattern in West Liaohe River Basin of China

The West Liaohe River Basin (WRLB) is a typical agro-pastoral interlaced zone in Northeast China where excessive economic development activities brought great pressure on the ecosystem and caused a series of ecological problems, having a negative effect on regional ecological carrying capacity (ECC). The rational construction of ecological security pattern (ESP) is an effective way to improve regional ECC and alleviate the contradiction between ecological protection and economic development. In this study, taking the WLRB as an example, spatiotemporal changes of ECC in the WLRB from 2000 to 2020 were explored by using spatial principal component analysis (SPCA). Furthermore, ecological sources were determined by coupling ECC evaluation results with important ecological patches such as natural protected areas, and the minimum cumulative resistance (MCR) model combined with the circuit theory method were employed to identify ecological security zoning, ecological corridors and key ecological nodes. Then a comprehensive ESP of the basin was constructed. The results show as follows: 1) The ECC of the overall WLRB was at medium carrying level, yet was spatially differentiated, which decreased from the periphery to the center of the basin in general. ECC showed a fluctuating upward trend from 2000 to 2020. 2) The ecological source area of the WLRB was 21926.91 km², accounting for 17.33% of the total study area. The ecological sources were seriously fragmentated and mainly distributed in the mountain area. The area of ecological conservation zone, optimized buffer zone, ecological transition zone, ecological prevention and control zone were 55672.69 km², 32662.24 km², 23862.84 km² and 12021.04 km², accounting for 44.82%, 26.29%, 19.21% and 9.68%, respectively. We also extracted 95 ecological corridors (with a total length of 3130.97 km), 49 ecological pinch points (with a total area of 200.33 km²) and 30 ecological barrier points (with a total area of 318.30 km²), constituting a “points-lines-planes” comprehensive ecological security pattern. This research can provide scientific reference for the protection and restoration of ecological environment and regional sustainable development.

Rethinking connectivity modeling for high-mobility ungulates: insights from a globally endangered equid

ContextMaintaining connectivity is crucial for wildlife conservation in human-occupied landscapes. Structural connectivity modeling (SCM) attempts to quantify the degree to which physical features facilitate or impede movement of individuals and has been widely used to identify corridors, but its accuracy is rarely validated against empirical data.ObjectivesWe evaluated SCM’s ability to identify suitable habitat and corridors for onagers (Equus hemionus onager) through a comparison with functional connectivity (i.e., actual movement of individuals) using satellite tracking data.MethodsWe used MaxEnt to predict suitable habitat and evaluated the ability of three SCM approaches: circuit theory, factorial least cost path, and landscape corridors approaches to identify corridors. The performance of the three SCM approaches was validated against independently collected GPS telemetry data.ResultsOnagers selected water sources and dense vegetation while avoiding areas grazed intensely by livestock. The three approaches to SCMs identified similar movement corridors, which were interrupted by roads, affecting major high-flow movement corridors. The SCMs overlapped with functional connectivity by about 21%.ConclusionMovement corridors derived from SCMs did not align with the locations or intensity of corridors identified using the functional connectivity model. This finding suggests that SCMs might have a tendency to overestimate landscape resistance in areas with low habitat suitability. Therefore, SCM may not adequately capture individual decisions about habitat selection and movement. To protect corridors linking suitable habitat, data on functional connectivity (i.e., telemetry data) can be coupled with SCM to better understand habitat selection and movements of populations as a consequence of landscape features.

Electric circuit representation of the human circulatory system to estimate the position of nanosensors in vessels

Nanodevices are the focus of research enhancing the detection and treatment of diseases in the human body. Focusing on the scenario where nanosensors are flowing with the blood in the human circulatory system (HCS), in this work, we investigate a model to predict their distribution along the various vessel segments. Although various approaches report solutions for localizing nanosensors in the body, it is also relevant to derive their stationary distribution along the vessel segments as a prior step to assess their actuation and sensing capabilities in the body. We use a Markov chain formulation to derive the stationary distribution of nanosensors. We evaluate the transition probabilities relying on the representation of vessels with electric circuit components. We implement the electric circuit representation of the left ventricle in the heart and the arteries to find the blood flow at vessel bifurcations and then compute the Markov chain probabilities. Our system also allows to reveal the dynamics of the movement of nanosensors with the human activity. We illustrate results in two regimes, as low and high activity, to mimic the case when being at rest or doing sports.

Habitat suitability and connectivity modelling predict a latitudinal-driven expansion in the Mediterranean basin for a historically introduced reptile

Species introductions outside their native ranges, often driven by trade and other anthropogenic activities, present significant ecological challenges. Reptiles, frequently traded as pets for their attractiveness, are particularly susceptible to such introductions, leading to shifts in distribution patterns and potential ecological impacts. The common chameleon (Chamaeleo chamaeleon), which has been historically introduced in several European countries, is such an example, yet no overall assessments are available to date for this species. In this study, we used ecological niche models to assess habitat suitability for the common chameleon in the Mediterranean basin for current and future scenarios. Concurrently, circuit theory techniques were employed to evaluate habitat connectivity in two historically introduced areas. We identified areas of high habitat suitability and dispersal corridors in introduced regions. Our results reveal a latitudinal gradient in habitat suitability changes, with the species facing both expansion and decline in different parts of its range, depending on the ecozone considered. Severe declines are noted in southeastern Spain, Tunisia, and Israel, while habitat suitability increases westwards in Portugal, Morocco, and Southern Italy. These insights contribute to a better understanding of the common chameleon’s ecological dynamics, providing a foundation for targeted management and conservation efforts. Our study highlights the importance of integrating ecological niche modelling and circuit theory techniques to predict habitat suitability and identify critical dispersal corridors for effective conservation strategies. Considering the ongoing challenges posed by human-mediated dispersals for the common chameleon, our research establishes a foundation for future studies to enhance our understanding of this elusive species.

Aspmc: New frontiers of algebraic answer set counting

In the last decade, there has been increasing interest in extensions of answer set programming (ASP) that cater for quantitative information such as weights or probabilities. A wide range of quantitative reasoning tasks for ASP and logic programming, among them probabilistic inference and parameter learning in the neuro-symbolic setting, can be expressed as algebraic answer set counting (AASC) tasks, i.e., weighted model counting for ASP with weights calculated over some semiring, which makes efficient solvers for AASC desirable. In this article, we present ▪, a new solver for AASC that pushes the limits of efficient solvability. Notably, ▪ provides improved performance compared to the state of the art in probabilistic inference by exploiting three insights gained from thorough theoretical investigations in our work. Namely, we consider the knowledge compilation step in the AASC pipeline, where the underlying logical theory specified by the answer set program is converted into a tractable circuit representation, on which AASC is feasible in polynomial time. First, we provide a detailed comparison of different approaches to knowledge compilation for programs, revealing that translation to propositional formulas followed by compilation to sd-DNNF seems favorable. Second, we study how the translation to propositional formulas should proceed to result in efficient compilation. This leads to the second and third insight, namely a novel way of breaking the positive cyclic dependencies in a program, called TP-Unfolding, and an improvement to the Clark Completion, the procedure used to transform programs without positive cyclic dependencies into propositional formulas. Both improvements are tailored towards efficient knowledge compilation. Our empirical evaluation reveals that while all three advancements contribute to the success of ▪, TP-Unfolding improves performance significantly by allowing us to handle cyclic instances better.