Preferred Choice Research Articles

Spring Less Suspension using Rocker Bogie Mechanism

The rocker bogie mechanism is a type of suspension system commonly used in robotic vehicles, particularly in space exploration rovers like NASA’s Mars rovers. Unlike traditional spring-based suspensions, the rocker bogie mechanism relies on a system of pivoting joints and linkages to maintain stability and traction over uneven terrain. This mechanism allows the vehicle to traverse rough surfaces by distributing weight and adjusting wheel positions to accommodate obstacles. Its abstract nature lies in its ability to provide stability and mobility without relying on springs, making it well-suited for navigating challenging environments such as rocky terrain or steep slopes. Overall, the rocker bogie suspension system is well-suited for applications where stability, mobility, and reliability are paramount, making it a preferred choice for planetary exploration missions and other off-road vehicles operating in rugged terrain

The impact of lay elitism on preference and choice inconsistency in consumption across cultures

AbstractThe present study examined the influence of lay elitism on preference and choice inconsistency in consumer choices across cultures. Four studies were conducted to understand this phenomenon. In Study 1, we showed that Mainland Chinese high in the belief in lay elitism displays more preference and choice inconsistency across product categories. In Study 2, we found the reverse effect for Caucasian Americans. In Study 3, Mainland Chinese belief in lay elitism is associated with their preference and choice inconsistency over geometric patterns and, at the same time, increased the consistency between their choice and the anticipated elites' choice of these geometric patterns. Lastly, Study 4 showed that in a cross‐cultural study, Mainland Chinese participants' endorsement of lay elitism is associated with a higher level of preference and choice inconsistency, but the reverse pattern is observed for Caucasian Americans. Furthermore, cultural values (i.e., individualism and collectivism) fail to explain the differences in preference and choice consistency across cultures. The paper offers a new perspective in using lay elitism across cultures to understand preference and choice inconsistency in consumer behavior.

A Glimpse into the Future: Examining University of Dhaka Undergraduates Perception of the Hospitality Industry for Future Career

The main objective of this study is to acknowledge the perceptions of undergraduates on pursuing a career in the Hospitality Industry. The service industry such as hospitality industry of Bangladesh is a significant sector contributing to the economic development and have seen flourishing prosperity in recent years. The success of hospitality industries and their prestigious brand image have encouraged youth generation specially undergraduates to pursue their future career in Hospitality industry. This study basically identifies twenty variables associated with the influencing factors that may instigate undergraduates to pursue the Hospitality industry as their career choice. By a systematic analysis of twenty independent variables result shows that, six variables are statistically arrived at 1% significant level that means have significant influence on undergraduates’ perception and another eight variables are estimated as 5% of significant level. This implies that ensuring high Salary, brand names of the company, Job security, diversified working opportunity, and proper replacement polices each of the variables is positively influencing undergraduate’s preference in career choice in hospitality industry. This study concludes with few practical implications that have been extracted in the light of empirical findings to influence undergraduates’ perceptions positively towards hospitality industry.

Maternal and household factors affecting the dietary diversity of preschool children in eastern Ethiopia: a cross-sectional study

ObjectiveInvestigate the association between the dietary diversity of preschool children and proximate factors including household food insecurity, maternal food choice, preferences, khat use, and levels of depressive symptoms.DesignCross-sectional survey of...

Comparisons of the mean differences and standardized mean differences for continuous outcome measures on the same scale.

When conducting systematic reviews and meta-analyses of continuous outcomes, the mean differences (MDs) and standardized mean differences (SMDs) are 2 commonly used choices for effect measures. The SMDs are motivated by scenarios where studies collected in a systematic review do not report the continuous measures on the same scale. The standardization process transfers the MDs to be unit-free measures that can be synthesized across studies. As such, some evidence synthesis researchers tend to prefer the SMD over the MD. However, other researchers have concerns about the interpretability of the SMD. The standardization process could also yield additional heterogeneity between studies. In this paper, we use simulation studies to illustrate that, in a scenario where the continuous measures are on the same scale, the SMD could have considerably poorer performance compared with the MD in some cases. The simulations compare the MD and SMD in various settings, including cases where the normality assumption of continuous measures does not hold. We conclude that although the SMD remains useful for evidence synthesis of continuous measures on different scales, the SMD could have substantially greater biases, greater mean squared errors, and lower coverage probabilities of CIs than the MD. The MD is generally more robust to the violation of the normality assumption for continuous measures. In scenarios where continuous measures are inherently comparable or can be transformed to a common scale, the MD is the preferred choice for an effect measure.

Interactive Effects of Salinity and Mosquito Larvicides Toxicity to Larvae of Aedes Taeniorhynchus.

Understanding the influence of salinity on the efficacy of mosquito larvicides in brackish water habitats is crucial for effective salt-marsh Aedes taeniorhynchus control. This study investigated the interactive effects of salinity on the toxicity of 3 commonly used mosquito larvicides: Bacillus thuringiensis israelensis (VectoBac® 12AS), spinosad (Natular® SC), and S-methoprene (Altosid® 12AS) against Ae. taeniorhynchus larvae. Four salinity levels (0 ppt [parts per thousand], 8 ppt, 16 ppt, and 32 ppt) were tested in laboratory bioassays. The results revealed distinct responses of these larvicides to varying salinity levels. VectoBac 12AS displayed consistent efficacy across all salinity levels, indicating its suitability for brackish water habitats. In contrast, Natular 2EC exhibited increased effectiveness with higher salinity, making it a preferable choice for saline environments. Altosid 12AS showed its highest efficacy in freshwater, with reduced effectiveness as salinity increased. These findings underscore the need to consider salinity levels when selecting and applying mosquito larvicides in diverse aquatic habitats. Understanding the complex interplay between salinity and larvicide performance is essential for optimizing mosquito control strategies and mitigating mosquito-borne diseases in various environments.

A Transformerless Converter with Common-Mode Decoupling in Low-Voltage Hybrid Grids

Compared with isolated converters, transformerless converters are a preferred choice in low-voltage grids due to their efficiency and lower cost. However, leakage current and common mode (CM) voltage appear through the converter and ground in hybrid grids, which consist of AC and DC subgrids. The leakage current and CM voltage seriously influence operation and power quality in low-voltage distribution systems. This paper proposes a common-ground-type (CGT) converter equipped with a CM decoupling control strategy to eliminate the leakage current and CM voltage. A CM model is derived, and the leakage current and CM voltage are analyzed in detail. A CGT four-leg converter is constructed to eliminate the high frequency CM voltage. A dual DQ current control loop is developed to suppress the DC double-frequency ripple. Additionally, an active damping method is proposed, based on the neutral current feed-forward plus inductor current feedback, to attenuate the low frequency CM voltage. The proposed converter and control strategy guarantees excellent performance in suppressing leakage current and CM voltage. The DC voltage of the converter connected to the DC grid maintains stability and symmetry. The leakage current is significantly reduced, and the leakage current suppression performance is improved by 83%. The high frequency CM voltage is attenuated from 50%udc to 2%udc, and the low frequency CM voltage is suppressed from approximately 32%udc to 3%udc, which is a significant improvement compared with the traditional method. In addition, the proposed control strategy has good transient performance when the load changes abruptly. Finally, an experimental platform is established to validate the feasibility and performance. The experiment results showed that the proposed control strategy improves the system performance and power quality.

Cannabinoids for Cancer-related Pain Management: An Update on Therapeutic Applications and Future Perspectives.

Pain is a debilitating phenomenon that dramatically impairs the quality of life of patients. Many chronic conditions, including cancer, are associated with chronic pain. Despite pharmacological efforts that have been conducted, many patients suffering from cancer pain remain without treatment. To date, opioids are considered the preferred therapeutic choice for cancer-related pain management. Unfortunately, opioid treatment causes side effects and inefficiently relieves patients from pain, therefore alternative therapies have been considered, including Cannabis Sativa and cannabinoids. Accumulating evidence has highlighted that an increasing number of patients are choosing to use cannabis and cannabinoids for the management of their soothing and non-palliative cancer pain and other cancer-related symptoms. However, their clinical application must be supported by convincing and reproducible clinical trials. In this review, we provide an update on cannabinoid use for cancer pain management. Moreover, we tried to turn a light on the potential use of cannabis as a possible therapeutic option for cancer-related pain relief.

Ox-Ethnio: Blockchain E-Voting System

Abstract: In comparison to conventional paper-based systems, electronic voting, or e-voting, offers many benefits, including increased efficiency and fewer mistakes. It has developed into many different forms. However, gaining public approval of these systems remains a constant problem, especially when it comes to making them more resilient to possible weaknesses. With its potential to increase the overall resilience of electronic voting systems, blockchain technology is emerging as a market disruptor. With the use of blockchain technology, this project aims to create an efficient e-voting infrastructure by using its transparency and cryptographic underpinnings. The proposed technique satisfies the essential requirements for electronic voting systems and offers end-to-end variabilities essay delves into the planned e-voting mechanism and its actual implementation on the Multichain platform in great depth. Furthermore, Electronic voting systems, when applied in elections, need to uphold legality, accuracy, security, and convenience. Nevertheless, the potential challenges associated with digital voting methods can impede their widespread adoption. Blockchain technology has emerged as a promising solution to address these concerns, offering decentralized networks for electronic voting. Its main appeal lies in the ability to provide end-to-end verification, making it a preferred choice for developing electronic voting systems.

Economic impact of a credit guarantee scheme: evidence from Spain

ABSTRACT Credit guarantee schemes have emerged as one of the preferred choices for policy makers concerned about financing small and medium-sized enterprises (SMEs). This article assesses the economic impact of a credit guarantee scheme by using data from a Spanish regional guarantee company for the years 2019 and 2020. We employ an input–output (IO) model, which is a robust methodology that has not been previously used in this type of study. Our findings confirm that a credit guarantee scheme has a positive impact on economic growth, as evidenced by increases in output, gross domestic product (GDP), and employment. We also evaluate the support measures implemented by the regional government to reduce the liquidity shortfalls experienced by SMEs during the COVID-19 pandemic, corroborating that during crises, government financial support policies to guarantee systems yield positive macroeconomic effects in the region in which they are implemented.

Field test and geologic-thermal-economic analysis of medium-depth borehole heat exchanger

Medium-depth ground source heat pumps with borehole heat exchanger are pivotal in energy-saving and decarbonization. The heat transfer performance of borehole is important for design, with stratum thermal conductivity significantly influencing heat exchange, and economic considerations also act as a vital constraint on technological advancements. However, there is limited on-site testing in severe cold regions, especially in the Songliao Basin. Stratum thermal conductivity usually relies on empirical values, and its diverse impacts are not integrated into borehole heat transfer model. Additionally, previous studies optimized borehole design only from the thermal perspective. To address these gaps, we conducted an inaugural test in Shenyang. Geologic-based heat transfer model explores the geological influences, heat transfer performance, and heat extraction cost. At a depth of 2500 m, the formation's thermal conductivity is 2.45 W⋅m⁻1 K⁻1. The heat extraction, at a flow rate of 26.0 m3 h−1, achieves 352.3 kW with an inlet-outlet temperature differential of 11.7 °C. The effects of saturation, porosity, and lithology on stratum thermal conductivity were also explored. Furthermore, considering heat extraction cost, optimal depths for borehole utilizing PE-RT II and stainless-steel vacuum pipe are 2790 m (10.3 CNY·W−1) and 3140 m (10.2 CNY·W−1), with critical depths, 2910 m, governing the selection of economic inner pipe. This research establishes medium-depth ground source heat pumps as the preferred choice for low-carbon transformation in building heating, domestic hot water, and industrial and agricultural heat applications.

Evaluation of Recently Released Andean Bean Varieties with the Participation of Farmers in Mid-Altitude Region of Gedeb Zuria, Gedo Zone

During the 2012 mehere season, a study was conducted in the income Gedeb Wereda of the Gedio zone in Ethiopia to evaluate farmers' selection criteria for beans and the performance of newly released Andean common bean varieties. The study utilised participatory variety selection (PVS) trials. The findings revealed that qualitative features were given more importance by farmers compared to quantitative traits. Among the different genotypes tested, Gegeba and Ibado emerged as the top two varieties. Farmers considered five qualitative characteristics as superior to production: seed size, marketability, maturity duration, pest and disease resistance, the ability to tolerate cool temperatures, and seed color. Gegeba, with its large, red-speckled seeds, high market demand, upright growth habit, early maturity (90 days), and reasonably high yield (>2 tonnes ha-1), was the preferred choice for almost all farmers. The study suggests that future bean development efforts should focus on promoting the selected varieties and developing new ones that align with farmers' preferences, particularly in terms of adaptation to the mid-highlands, suitability for domestic consumption, local markets, and export markets.

Food for Active Outdoor Recreation: Convenience, Sustainability, and Gender Perspectives

Given increases in outdoor recreation participation observed in Sweden during the COVID-19 pandemic, recent increased public recreational initiatives, and a societal focus on the 17 sustainability goals of Agenda 2030, an exploratory study was initiated to consider the role of food in the outdoor recreation experience. Specifically, the question of how food may serve as a factor in sustainable outdoor recreation was explored. The study was designed to consider patterns in outdoor recreation participation and self-reported food choices/preferences among active outdoor participants. The survey methodology used questions about outdoor recreation participation and food choice preferences to investigate this intersection of food and outdoor recreation. For example, taste, activity function, ease of use, and sustainability were considered. Unsurprisingly, taste emerged as the strongest outdoor recreation food preference factor. Results show how highly active outdoor participants perceive food’s role in 1-day and multiday outdoor recreational experiences. For example, over 90% of all respondents indicated that food was a part of their enjoyment of the outdoor recreation experience. Increased interest in the nutritional value of food used in multiday outdoor recreation activities was also reported–with 99% of respondents indicating its importance. However, the most interesting results indicated a relationship between gender and food choice/preference factors. A review of the results opens the door to further inquiries into gender and persistent gender roles as a food/outdoor recreation factor. The discussion of the results also considers the breadth of potential sustainability factors, individual and collective, and the need for more definitional clarity regarding sustainability within the context of outdoor recreation food.

Midpoint geometric integrators for inertial magnetization dynamics

We consider the numerical solution of the inertial version of Landau-Lifshitz-Gilbert equation (iLLG), which describes high-frequency nutation on top of magnetization precession due to angular momentum relaxation. The iLLG equation defines a higher-order nonlinear dynamical system with very different nature compared to the classical LLG equation, requiring twice as many degrees of freedom for space-time discretization. It exhibits essential conservation properties, namely magnetization amplitude preservation, magnetization projection conservation, and a balance equation for generalized free energy, leading to a Lyapunov structure (i.e. the free energy is a decreasing function of time) when the external magnetic field is constant in time. We propose two second-order numerical schemes for integrating the iLLG dynamics over time, both based on implicit midpoint rule. The first scheme unconditionally preserves all the conservation properties, making it the preferred choice for simulating inertial magnetization dynamics. However, it implies doubling the number of unknowns, necessitating significant changes in numerical micromagnetic codes and increasing computational costs especially for spatially inhomogeneous dynamics simulations. To address this issue, we present a second time-stepping method that retains the same computational cost as the implicit midpoint rule for classical LLG dynamics while unconditionally preserving magnetization amplitude and projection. Special quasi-Newton techniques are developed for solving the nonlinear system of equations required at each time step due to the implicit nature of both time-steppings. The numerical schemes are validated on analytical solution for macrospin terahertz frequency response and the effectiveness of the second scheme is demonstrated with full micromagnetic simulation of inertial spin waves propagation in a magnetic thin-film.

A Practical Approach to Automatic Earthquake Catalog Compilation in Local OBS Networks Using Deep-Learning and Network-Based Algorithms

Abstract In land-based seismology, modern automatic earthquake detection and phase picking algorithms have already proven to outperform classic approaches, resulting in more complete catalogs when only taking a fraction of the time needed for classic methods. For marine-based seismology, similar advances have not been made yet. For ocean-bottom seismometer (OBS) data, additional challenges arise, such as a lower signal-to-noise ratio and fewer labeled data sets available for training deep-learning models. However, the performance of available deep-learning models has not yet been extensively tested on marine-based data sets. Here, we apply three different modern event detection and phase picking approaches to an ∼12 month local OBS data set and compare the resulting earthquake catalogs and location results. In addition, we evaluate their performance by comparing different subcatalogs of manually detected events and visually revised picks to their automatic counterparts. The results show that seismicity patterns from automatically compiled catalogs are comparable to a manually revised catalog after applying strict location quality control criteria. However, the number of such well-constrained events varies between the approaches and catalog completeness cannot be reliably determined. We find that PhaseNet is more suitable for local OBS networks compared with EQTransformer and propose a pick-independent event detection approach, such as Lassie, as the preferred choice for an initial event catalog compilation. Depending on the aim of the study, different schemes of manual repicking should be applied because the automatic picks are not yet reliable enough for developing a velocity model or interpreting small-scale seismicity patterns.

Comparative analysis of ROCKET-driven and classic EEG features in predicting attachment styles

Predicting attachment styles using AI algorithms remains relatively unexplored in scientific literature. This study addresses this gap by employing EEG data to evaluate the effectiveness of ROCKET-driven features versus classic features, both analyzed using the XGBoost machine learning algorithm, for classifying ‘secure’ or ‘insecure’ attachment styles.Participants, fourth-year engineering students aged 20–35, first completed the ECR-R questionnaire. A subset then underwent EEG sessions while performing the Arrow Flanker Task, receiving success or failure feedback for each trial.Our findings reveal the effectiveness of both feature sets. The dataset with ROCKET-derived features demonstrated an 88.41% True Positive Rate (TPR) in classifying ‘insecure’ attachment styles, compared to the classic features dataset, which achieved a notable TPR as well. Visual representations further support ROCKET-derived features’ proficiency in identifying insecure attachment tendencies, while the classic features exhibited limitations in classification accuracy. Although the ROCKET-derived features exhibited higher TPR, the classic features also presented a substantial predictive ability.In conclusion, this study advances the integration of AI in psychological assessments, emphasizing the significance of feature selection for specific datasets and applications. While both feature sets effectively classified EEG-based attachment styles, the ROCKET-derived features demonstrated a superior performance across multiple metrics, making them the preferred choice for this study.

Biomechanical Research of Three Parallel Cannulated Compression Screws in Oblique Triangle Configuration for Fixation of Femoral Neck Unstable Fractures.

Surgical treatment with internal fixation, specifically percutaneous fixation with three cannulated compression screws (CCSs), is the preferred choice for young and middle-aged patients. The mechanical advantage of the optimal spatial configuration with three screws provides maximum dispersion and cortical support. We suspect that the spatial proportion of the oblique triangle configuration (OTC) in the cross-section of the femoral neck isthmus (FNI) may significantly improve shear and fatigue resistance of the fixed structure, thereby stabilizing the internal fixation system in femoral neck fracture (FNF). This study aims to explore the mechanical features of OTC and provide a mechanical basis for its clinical application. Twenty Sawbone femurs were prepared as Pauwels type III FNF models and divided equally into two fixation groups: OTC and inverted equilateral triangle configuration (IETC). Three 7.3 mm diameter cannulated compression screws (CCSs) were used for fixation. The specimens of FNF after screw internal fixation were subjected to static loading and cyclic loading tests, respectively, with five specimens for each test. Axial stiffness, 5 mm failure load, ultimate load, shear displacement, and frontal rotational angle of two fragments were evaluated. In the cyclic loading test, the load sizes were 700 N, 1400 N, and 2100 N, respectively, and the fracture end displacement was recorded. Results were presented as means ± SD. Data with normal distributions were compared by the Student's t test. In the static loading test, the axial stiffness, ultimate load, shear displacement, and frontal rotational angle of two fragments were (738.64 vs. 620.74) N/mm, (2957.61 vs. 2643.06) N, (4.67 vs. 5.39) mm, and (4.01 vs. 5.52)° (p < 0.05), respectively. Comparison between the femoral head displacement after 10,000 cycles of 700N cyclic loading and total displacement after 20,000 cycles of 700-1400N cyclic loading showed the OTC group was less than the IETC group (p < 0.05). A comparison of femoral head displacement after 10,000 cycles of 1400N and 2100N cycles and total displacement after 30,000 cycles of 700-2100N cycles showed the OTC group was less than another group, but the difference was not significant (p > 0.05). When three CCSs are inserted in parallel to fix FNF, the OTC of three screws has obvious biomechanical advantages, especially in shear resistance and early postoperative weight-bearing, which provides a mechanical basis for clinical selection of ideal spatial configuration for unstable FNF.

Wide-Spectrum Antireflective Properties of Germanium by Femtosecond Laser Raster-Type In Situ Repetitive Direct Writing Technique

A femtosecond laser raster-type in situ repetitive direct writing technique was used for the fabrication of anti-reflective microhole structures in Germanium (Ge) in the visible near-infrared range (300–1800 nm). This technique builds a layer of microstructured arrays on the surface of Ge, enabling Ge to exhibit excellent anti-reflective properties. The large-area micro-nanostructures of Ge were fabricated using femtosecond laser raster-type in situ repetitive direct writing. Ge microstructures are characterized by their structural regularity, high processing efficiency, high reproducibility, and excellent anti-reflective properties. Experimental test results showed that the average reflectance of the Ge microporous structure surface in the range of 300–1800 nm was 2.25% (the average reflectance of flat Ge was 41.5%), and the lowest reflectance was ~1.6%. This microstructure fabrication drastically reduced the optical loss of Ge, thus enhancing the photothermal utilization of Ge. The many nanoburrs and voids in the Ge microporous structure provided excellent hydrophobicity, with a hydrophobicity angle of up to 133 ± 2° (the hydrophobicity angle of flat Ge was 70 ± 2°). The high hydrophobicity angle allows for strong and effective self-cleaning performance. The femtosecond laser raster-type in situ repeatable direct writing technology has many desirable properties, including simplicity, high accuracy, flexibility, and repeatability, that make it one of the preferred choices for advanced manufacturing. The Ge micro-nanostructured arrays with excellent optical anti-reflective properties and hydrophobicity have become an attractive alternative to the current photo-thermal absorbers. It is expected to be used in many applications such as solar panels, photovoltaic sensors, and other optoelectronic devices.

High-resolution acoustic mapping of tunable gelatin-based phantoms for ultrasound tissue characterization.

Background: The choice of gelatin as the phantom material is underpinned by several key advantages it offers over other materials in the context of ultrasonic applications. Gelatin exhibits spatial and temporal uniformity, which is essential in creating reliable tissue-mimicking phantoms. Its stability ensures that the phantom's properties remain consistent over time, while its flexibility allows for customization to match the acoustic characteristics of specific tissues, in addition to its low levels of ultrasound scattering. These attributes collectively make gelatin a preferred choice for fabricating phantoms in ultrasound-related research. Methods: We developed gelatin-based phantoms with adjustable parameters and conducted high-resolution measurements of ultrasound wave attenuation when interacting with the gelatin phantoms. We utilized a motorized acoustic system designed for 3D acoustic mapping. Mechanical evaluation of phantom elasticity was performed using unconfined compression tests. We particularly examined how varying gelatin concentration influenced ultrasound maximal intensity and subsequent acoustic attenuation across the acoustic profile. To validate our findings, we conducted computational simulations to compare our data with predicted acoustic outcomes. Results: Our results demonstrated high-resolution mapping of ultrasound waves in both gelatin-based phantoms and plain fluid environments. Following an increase in the gelatin concentration, the maximum intensity dropped by 30% and 48% with the 5MHz and 1MHz frequencies respectively, while the attenuation coefficient increased, with 67% more attenuation at the 1MHz frequency recorded at the highest concentration. The size of the focal areas increased systematically as a function of increasing applied voltage and duty cycle yet decreased as a function of increased ultrasonic frequency. Simulation results verified the experimental results with less than 10% deviation. Conclusion: We developed gelatin-based ultrasound phantoms as a reliable and reproducible tool for examining the acoustic and mechanical attenuations taking place as a function of increased tissue elasticity and stiffness. Our experimental measurements and simulations gave insight into the potential use of such phantoms for mimicking soft tissue properties.

Pioneering the direct large‐scale laser printing of flexible “graphenic silicon” self‐standing thin films as ultrahigh‐performance lithium‐ion battery anodes

AbstractRecent technological advancements, such as portable electronics and electric vehicles, have created a pressing need for more efficient energy storage solutions. Lithium‐ion batteries (LIBs) have been the preferred choice for these applications, with graphite being the standard anode material due to its stability. However, graphite falls short of meeting the growing demand for higher energy density, possessing a theoretical capacity that lags behind. To address this, researchers are actively seeking alternative materials to replace graphite in commercial batteries. One promising avenue involves lithium‐alloying materials like silicon and phosphorus, which offer high theoretical capacities. Carbon–silicon composites have emerged as a viable option, showing improved capacity and performance over traditional graphite or pure silicon anodes. Yet, the existing methods for synthesizing these composites remain complex, energy‐intensive, and costly, preventing widespread adoption. A groundbreaking approach is presented here: the use of a laser writing strategy to rapidly transform common organic carbon precursors and silicon blends into efficient “graphenic silicon” composite thin films. These films exhibit exceptional structural and energy storage properties. The resulting three‐dimensional porous composite anodes showcase impressive attributes, including ultrahigh silicon content, remarkable cyclic stability (over 4500 cycles with ∼40% retention), rapid charging rates (up to 10 A g−1), substantial areal capacity (&gt;5.1 mAh cm−2), and excellent gravimetric capacity (&gt;2400 mAh g−1 at 0.2 A g−1). This strategy marks a significant step toward the scalable production of high‐performance LIB materials. Leveraging widely available, cost‐effective precursors, the laser‐printed “graphenic silicon” composites demonstrate unparalleled performance, potentially streamlining anode production while maintaining exceptional capabilities. This innovation not only paves the way for advanced LIBs but also sets a precedent for transforming various materials into high‐performing electrodes, promising reduced complexity and cost in battery production.