Analytical Results Research Articles

Transport in a Two-Channel Nanotransistor Device with Lateral Resonant Tunneling.

We study field effect nanotransistor devices in the Si/SiO2 material system which are based on lateral resonant tunneling between two parallel conduction channels. After introducing a simple piecewise linear potential model, we calculate the quantum transport properties in the R-matrix approach. In the transfer characteristics, we find a narrow resonant tunneling peak around zero control voltage. Such a narrow resonant tunneling peak allows one to switch the drain current with small control voltages, thus opening the way to low-energy applications. In contrast to similar double electron layer tunneling transistors that have been studied previously in III-V material systems with much larger channel lengths, the resonant tunneling peak in the drain current is found to persist at room temperature. We employ the R-matrix method in an effective approximation for planar systems and compare the analytical results with full numerical calculations. This provides a basic understanding of the inner processes pertaining to lateral tunneling transport.

Premised research on dietary exposure to benzo[a]pyrene, acrylamide, and Nnitrosodimethylamine from common fried and grilled dishes in North Vietnam

Fried and grilled cooking methods and the widespread consumption of certain dishes may expose the population to elevated levels of potentially carcinogenic compounds, such as benzo[a]pyrene (BaP), acrylamide, and N-nitrosodimethylamine (NDMA). This study aims to quickly estimate dietary exposure to these contaminants and assess the associated carcinogenic risk for several common Vietnamese fried and grilled dishes. The concentrations of the target compounds were obtained from the study showed that BaP, NDMA, and acrylamide are the groups of substances of greatest concern. The analytical results of 235 samples of meat and meat products (grilled/fried/smoked), seafood and seafood products (grilled/fried/smoked), processed oils, and potatoes showed that 12 samples detected acrylamide in the range of 5.0 – 162.0 µg/kg found in grilled/fried dishes and 5.0 – 4605 µg/kg for fried potatoes. Additionally, 204 samples detected NDMA in all groups in the range of 0.20 – 15.0 µg/kg, and 27 samples detected BaP in the range of 5.2 – 88 µg/kg in grilled/roasted food. Combined with information on food consumption patterns to estimate dietary exposure, four age groups were divided into under 6 years old, 6 – 18 years old, 18 – 50 years old, and over 50 years old, which showed that the consumption of processed foods by age groups was very different. In particular, the age group from 6 to 50 years old was the group that consumed the most of these foods (14.1 – 140 g/day). Specifically, up to 94.4% of people interviewed ate fried meat, 88.8% ate fried seafood and 85% ate fried potatoes. Risk characterization using the margin of exposure (MOE) and Cancer Slope Factor approaches indicate that certain dishes, such as grilled/smoked meat and fish, and deep-fried foods, may pose a significant cancer risk to Vietnamese consumers.

Inversion Method for Material Parameters of Concrete Dams Using Intelligent Algorithm-Based Displacement Separation

Integrating long-term observational data analysis with numerical simulations of dam operations provides an effective approach to dam safety evaluation. However, analytical results are often subject to errors due to challenges in accurately surveying and modeling the foundation, as well as temporal changes in foundation properties. This paper proposes a concrete dam displacement separation model that distinguishes between deformation caused by foundation restraint and that induced by external loads. By combining this model with intelligent optimization techniques and long-term observational data, we can identify the actual mechanical parameters of the dam and conduct structural health assessments. The proposed model accommodates multiple degrees of freedom and is applicable to both two- and three-dimensional dam modeling. Consequently, it is well-suited for parameter identification and health diagnosis of concrete gravity and arch dams with extensive observational data. The efficacy of this diagnostic model has been validated through computational case studies and practical engineering applications.

Stereoselective Ring‐Opening Polymerization of Racemic Lactide by Racemic Organo‐Catalyst at Room Temperature: Direct Access to Stereocomplex Polylactides

AbstractThe stereoregularity of poly(lactide) (PLA) plays a significant role in its physicochemical properties. In recent years, various metallic and nonmetallic catalysts have been developed. Organic catalysts, in particular, have garnered attention due to their potential use in biomedical applications, making them safer options. This study presents the design of a cost‐effective thiourea‐based racemic organocatalyst [(rac‐TU)Me] and its effective utilization in ring‐opening polymerization (ROP) of lactide. Using the catalyst and optimized base (N,N‐dimethylcyclohexylamine), ROP in dichloromethane achieved 98% monomer conversion and controlled molecular weights in 48 h. The polylactides obtained using this catalyst exhibited moderate tacticity, with a Pm value ranging from 0.71 to 0.78. The bulk structure of synthesized poly(lactic acid) (PLAs) is extensively studied using DSC, FTIR, and WAXS. The DSC analysis indicated stereoregular PLAs synthesized from rac‐lactide exhibited a higher melting transition than isotactic PLAs. Furthermore, the FTIR and WAXS studies revealed characteristic peaks and patterns typically associated with stereocomplex PLAs. These analytical results confirm the stereocomplex bulk structures of these PLAs synthesized using this organic catalyst [(rac‐TU)Me].

Experimental and analytical investigations on bond–slip behavior of steel reinforcement in UHPFRC considering yielding

AbstractThe bond behavior between ultra‐high‐performance fibre‐reinforced concrete (UHPFRC) and steel rebars plays an important role in the load‐bearing capacity and serviceability of structural members. A suitable bond–slip model is essential for predicting the load resistance and deformation capacity of members, after cracking of the UHPFRC. This paper studies the bond strength between ribbed steel bars and the surrounding UHPFRC before and after yielding of the steel reinforcement. To determine the corresponding bond–slip relationship, pull‐out tests, with varying embedment lengths of the reinforcement, namely 2 times and 10 times the rebar diameter, and diameter of reinforcing bars ranging from 10 mm to 16 mm were conducted. The bond stress, strain and slip along the embedment length of the steel rebars were measured by strain gauges and displacement transducers. Based on the test data, a bond stress–slip model was derived before (elastic stage) and after (inelastic stage) yielding of the reinforcement. The slip at the yield point is suggested through theoretical equations. The post‐yield bond–slip model is based on yield bond stress and frictional bond stress. The two‐part model was validated through iterative procedures and is able to predict the applied force, bond stress and strain distribution along the reinforcing bar. A comparison between the test data and analytical results demonstrates a good predictive capacity on the bond behavior of reinforcement in UHPFRC both before and after yielding of the reinforcement.

An analytical study of the tabia mortar from Lin Yimu’s tomb, Zhejiang, China

The Lin Yimu’s tomb in Zhejiang Province, China, is a significant Qing Dynasty tabia structure that, despite relatively good preservation, has suffered damage from weathering, necessitating urgent restoration. In this study, we conducted a comprehensive scientific analysis of archaeological samples from the tabia of Lin Yimu’s tomb, employing a range of analytical techniques including X-ray diffraction (XRD), thermogravimetric analysis (TGA), scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM/EDX), Fourier transform infrared spectroscopy (FTIR), chemical methods, and measurements of hardness and strength. Analytical results revealed that the main phases of the sample are calcite, quartz, illite/mica, feldspar, with a minor presence of Tung oil. The proportion of calcium carbonate is approximately 27%, and the ratio of earth to sand is 1:2, suggesting a raw material formula mass ratio of lime-earth-sand of 3:4:8. The surface hardness of the sample is measured at 293 ± 15 HL, with a compressive strength of 5.5 ± 0.2 MPa. The sand used in the raw material has a medium particle size of 250 μm, while earth particles are predominantly around 17 μm. The sample exhibits a porosity of 27.5%, with pore sizes concentrated at 95 nm. These findings contribute significantly to our understanding of Qing dynasty tomb construction technologies and provide a solid scientific basis for the restoration of such historical sites.

Establishment of characteristic fingerprint of volatile components in Batocera horsfieldi (Coleoptera: Cerambycidae) host plants and correlation analysis with climatic factors.

Batocera horsfieldi is the primary stemboring pest of timber forests and economic forests in China, belonging to the Coleoptera Cerambycidae. In this study, gas chromatography-mass spectrometry was used to analyze the volatile components in the supplementary feeding hosts and oviposition hosts of B. horsfieldi, and characteristic fingerprints were constructed. A total of 168 compounds were detected, primarily consisting of terpenes, hydrocarbons, and aldehydes, with 75, 23, and 14 compounds, respectively. Hierarchical cluster analysis and principal component analysis yielded consistent results. The similarity evaluation results showed that the similarity range between healthy poplar tree bark and healthy poplar leaves was the highest, reaching 0.953-0.98, and 10 common peaks were identified. The analysis of the correlation with climatic factors shows that most compounds are positively correlated with mean annual humidity, mean annual temperature, mean annual minimum temperature, and mean annual maximum temperature. Only caryophyllene and alpha-guaiene are negatively correlated with temperature-related climatic factors. Pathway analysis also reveals differences in the direct effects of different compounds. These analytical results provide a theoretical basis for further studying the selection mechanism of B. horsfieldi on hosts and offer theoretical guidance for identifying plant-derived attractants with biological activity.

Optimal circular states

Abstract In quantum optics, superpositions of coherent states, such as Schr"odinger cat states and compass states, and more generally, circular states, have attracted widespread attention due to their nice properties and significant applications. Concerning circular states, a natural question arises as what are the optimal parameters in these states for maximally achieving certain specified quantum features such as average photon number and nonclassicality. It turns out this issue is highly nontrivial and subtle. In this work, we investigate optimal circular states for average photon number, and determine the optimal parameters by a combination of theoretical and numerical methods. In particular, we establish several analytical results and also some rather detailed numerical results. We tabulate some numerical results, which may be useful in both theoretical and experimental studies of superpositions of coherent states.

Elastic–plastic solutions of reserved deformation for soft rock circular tunnel under high stress

The determination of reserved deformation is typically based on referring to relevant codes or the engineering analogy method, lacking a certain theoretical approach. The purpose of this study is to provide a theoretical basis for determining reserved deformation and to analyze the variation law of the surrounding rock affected by reserved deformation. Considering the reserved deformation under the condition of asymmetric load, the expression of optimal reserved deformation, the expression of support resistance reflecting the strength of surrounding rock, the strength of support material and the magnitude of in situ stress, the displacement expression of surrounding rock are derived by approximate solution based on the classical elastic–plastic theory. Numerical simulation software is used to simulate the displacement expression of the surrounding rock considering the reserved deformation and the expression of the optimum reserved deformation under the condition of asymmetric load. The results of the numerical simulation were compared with those of the analytical solutions, and the analytical results show that the errors between the two are within 12% and that the consistency is good.

Impacts of a sustainable aviation fuel mandate on airline competition — Full-service carrier vs. low-cost carrier

The aviation industry has proposed the collective goal of achieving net-zero carbon emissions by 2050. In addition to the existing market-based methods (MBMs), the use of renewable energies, in particular, sustainable aviation fuel (SAF), could be one of the most promising means for achieving this long-term target. This paper investigates how an SAF mandate from the government can lead to heterogeneous impacts on two types of airlines, namely, full-service carriers (FSCs) and low-cost carriers (LCCs), that compete in the same markets. A game-theoretic economic model is constructed that accounts for the different service quality levels and cost structures (i.e., fuel efficiency) between FSCs and LCCs. Our analytical results suggest that the SAF mandate favors LCCs over FSCs. The share of SAF blended into fuel raises the airfares of both types of airlines while reducing the traffic and profit of FSCs. The impacts on the LCC traffic and profit depend on its fuel efficiency relative to that of FSC. When LCCs are sufficiently fuel efficient, the SAF mandate can increase their traffic and profit. The government subsidy on airline's SAF use is also analyzed, deriving the optimal subsidy levels for FSC and LCC respectively to achieve pareto-improvement in social welfare and consumer surplus. We also examine how air passengers’ environmental awareness affects the outcomes of SAF mandate implementation. Our economic model also accounts for passengers’ heterogeneous preferences in terms of service quality and price sensitivity.

Cross-cultural validation of the Spanish version of the Kidney AlloTransplant Immunosuppressive Therapy Adherence Questionnaire (KATITA-25)

The KATITA-25 (Kidney AlloTransplant Immunosuppressive Therapy Adherence) Questionnaire is a multidimensional self-administered scale developed in Brazilian Portuguese that measures the predisposition for non-adherence to immunosuppressive medication in candidate patients for kidney transplantation, in the pre-transplant setting. The aim of this study was the cross-cultural validation of the Spanish version of the KATITA-25 scale. The translation/back-translation method was used, followed by cognitive interviews and a pre-test. The Spanish version of KATITA-25 was administered to 163 candidate patients for kidney transplantation from 2 kidney transplant centres and 2 dialysis centres in Catalonia, Spain. The scale was re-administered to the first 79 patients included into the study, after a 2 to 4 weeks interval. Internal consistency was assessed using Cronbach’s alpha, test–retest reliability with the intraclass correlation coefficient (ICC); construct validity with goodness of fit indices after confirmatory factor analysis using structural equation modelling. The Cronbach’s alpha of the Spanish version was 0.83, the ICC was 0.86. Confirmatory factor analysis showed adequate fit of the structural model. Overall, the analytical results closely resembled those obtained in the validation of the original scale. In conclusion, this cross-cultural validation study showed adequate reliability and construct validity of the Spanish version of the KATITA-25 questionnaire.

Experimental and numerical investigation on RC beams with web openings subjected to pure torsion strengthened by ferrocement technique or GFRP sheets

The main objective of the current experimental and numerical study is to investigate the effect of strengthening by ferrocement layers on the behavior of reinforced concrete (RC) beams with openings subjected to pure torsion and compare it with the beams that were strengthened by Glass Fiber Reinforced Polymer (GFRP). The experimental investigation consists of twelve reinforced concrete (RC) beams that have been divided into four groups. The parameters under investigation included the strengthening technique (ferrocement or External Bonded Glass Fiber Reinforced Polymer EB-GFRP), type of steel mesh (welded wire mesh and expanded metal mesh), number of layers of mesh (1, 2, 3), extension length outside opening (50, 100 or 200) mm, strengthening configuration (full or U-shape) wrapping, and the anchoring system effect. The experimental work consists of one solid beam and eleven beams with openings. The tested beams yielded results such as cracking and ultimate torques, angle of rotation, and mechanism of failure. Creating an opening in the control solid beam resulted in a 38.46 % decrease in ultimate torque, while using different techniques during this research proved efficiency in the strengthening process. Using GFRP U-wrapping and fully wrapping to strengthen the area around the beam's opening increased the ultimate torque by 50 % and 81.25 %, respectively, compared to the un-strengthened beam with an opening. Adding fully wrapped ferrocement layers to the beam with an opening greatly improved its torsional strength. The ultimate torque increased by 40.63 % to 81.25 % compared to the beam with an unreinforced opening. Increasing the number of welded steel mesh layers from 1 to 3 in the ferrocement strengthening technique led to an increase in ultimate torque from 40.63 % to 75 % compared with the un-strengthened beam with the opening. The tests showed that using expanded metal mesh instead of welded wire mesh in strengthened beams with holes led to a 9.43 % higher ultimate torsional capacity, indicating that the expanded metal mesh worked better than the welded wire mesh. Using the U-shape ferrocement wrapping with anchors was better than without anchors, resulting in a 9.1 % increase in the ultimate torsional capacity. Applying a fully wrapped GFRP sheet or expanded metal mesh ferrocement strengthening achieved the highest ultimate torque, 81.25 % more than the un-strengthened beam with an opening. Moreover, a 3D non-linear finite element analysis is conducted using ABAQUS software to forecast the torsional properties of beams strengthened by either ferrocement or EB-GFRP. The numerical model captured the failure patterns, twisting angle, and ultimate load of tested beams. The experimental and analytical results were in good agreement. The research concluded the effectiveness of using the ferrocement reinforced with different steel mesh types in strengthening reinforced concrete beams with openings under pure torsion, the cost-efficiency and simplicity of ferrocement as a solution compared to its results with EB-GFRP techniques.

Theoretical framework for the difference of two negative binomial distributions and its application in comparative analysis of sequencing data.

High-throughput sequencing (HTS) technologies have been instrumental in investigating biological questions at the bulk and single-cell levels. Comparative analysis of two HTS data sets often relies on testing the statistical significance for the difference of two negative binomial distributions (DOTNB). Although negative binomial distributions are well studied, the theoretical results for DOTNB remain largely unexplored. Here, we derive basic analytical results for DOTNB and examine its asymptotic properties. As a state-of-the-art application of DOTNB, we introduce DEGage, a computational method for detecting differentially expressed genes (DEGs) in scRNA-seq data. DEGage calculates the mean of the sample-wise differences of gene expression levels as the test statistic and determines significant differential expression by computing the P-value with DOTNB. Extensive validation using simulated and real scRNA-seq data sets demonstrates that DEGage outperforms five popular DEG analysis tools: DEGseq2, DEsingle, edgeR, Monocle3, and scDD. DEGage is robust against high dropout levels and exhibits superior sensitivity when applied to balanced and imbalanced data sets, even with small sample sizes. We utilize DEGage to analyze prostate cancer scRNA-seq data sets and identify marker genes for 17 cell types. Furthermore, we apply DEGage to scRNA-seq data sets of mouse neurons with and without fear memory and reveal eight potential memory-related genes overlooked in previous analyses. The theoretical results and supporting software for DOTNB can be widely applied to comparative analyses of dispersed count data in HTS and broad research questions.

Can Special Autonomy and Fiscal Decentralization Reduce Inequality in Papua Province?

The issue of regional inequality has gained prominence during the era of progress, driven by the goal of promoting equitable development and enhancing the well-being of all segments of society. Papua Province is an integral part of Indonesia, and confronts intricate hurdles in addressing regional inequality. In response to these hurdles, special autonomy status and fiscal decentralization were implemented to boost regional autonomy. This study aims to scrutinize the impact of special autonomy and fiscal decentralization on regional inequality within Papua Province. The dataset used in the study spans from 2011 to 2021 and has been sourced from the Central Bureau of Statistics for Papua Province and the Directorate General of Fiscal Balance under the Ministry of Finance of the Republic of Indonesia. Multiple linear regression analysis was applied and the analytical results underscore that granting special autonomy status has exerted a noteworthy influence in diminishing regional inequality within Papua Province. Nevertheless, an unexpected finding is that fiscal decentralization has not substantially curtailed regional inequality within the region. These revelations provide a comprehensive overview of the roles played by fiscal decentralization and special autonomy in endeavors to alleviate regional inequality in Papua Province. The implications of these findings lay the groundwork for policymaking and developmental planning that foster inclusivity and sustainable progress within the Province of Papua. Keywords: special autonomy, fiscal decentralization, regional inequality

A Novel Nonlinear SAZIQHR Epidemic Transmission Model: Mathematical Modeling, Simulation, and Optimal Control

Abstract This study presents a seven-compartmental nonlinear epidemic model to explore the dynamics and control of the epidemic. The model extends the traditional susceptible-infected-recovered (SIR) framework by including additional compartments for aware, infodemic, hospitalized, and quarantined populations. It also incorporates three Holling type II saturated nonlinear incidence rates to better represent the disease transmission process. The "infodemic population" refers to those spreading misinformation about the disease, its spread, control, and treatment. The study examines disease dynamics in the absence of a vaccine and identifies two key equilibria: the disease-free equilibrium (DFE) and the endemic equilibrium (EE). It is found that the DFE is locally asymptotically stable when the basic reproduction number (R_0) is below one and becomes unstable when R_0 exceeds one. The model's behavior at R_0=1 is analyzed using center manifold theory, revealing a forward bifurcation. Additionally, the existence of a positive endemic equilibrium is confirmed for R_0>1, with no backward bifurcation observed when R_0≤1. The EE is also shown to be locally asymptotically stable when R_0 is greater than one. Furthermore, the study formulates and mathematically analyzes an optimal control problem. Finally, numerical simulations are presented to support the analytical results.

Computational study of micromagnetorotation on the micropolar flow characteristics in a rectangular channel with continuous applied shear

The aim of this investigation is to computationally analyse the effect of micromagnetorotation on flow characteristics within magneto-micropolar flows. To the authors' knowledge such consideration has not been discussed in the literature in present context. The assumption in literature that the magnetization is parallel to the applied magnetic field is incorrect due to the anisotropic nature of micropolar flows. This allows to re-investigate the micropolar flows in the present of micromagnetorotation. To this end, the theory of magneto-micropolar flows is briefly described and a computational model governing the system dynamics is presented. Finite element code in FreeFem++ is developed and validated through an exact solution. It turns out that the numerical findings obtained are in strong agreement with the analytical results. The results obtained are significant because they can assist researchers in allied fields of electronics, materials science and biomedical engineering in finding solutions to a variety of real-world issues.

Assessment of Ventilation Potential and Construction of Wind Corridors in Chengdu City Based on Multi-Source Data and Multi-Model Analysis

The establishment of urban ventilation corridors (UVCs) aims to mitigate the urban heat island effect. While most studies focus on the construction and assessment of the environmental benefit of UVCs, they often overlook the analysis of UVCs’ topological features. This research integrates multi-source data including 3D urban buildings, historical meteorological observations, high-resolution remote sensing, and land use planning, combined with multiple models, including geographic information system spatial analysis, circuit theory, and complex networks. Based on an assessment of urban ventilation potential, the circuit model was applied to extract UVCs aligned with the prevailing wind direction for both summer and winter seasons. Complex network modeling was employed to analyze the topological features of the ventilation network. From the analytical results, a multi-level wind corridor system for Chengdu was quantitatively developed. The results indicate that the city’s overall ventilation resistance is high, with notable spatial clustering, and the southeastern region faces substantial ventilation obstructions. A total of 143 critical ventilation nodes were identified, with the number of air inlets and outlets in summer being significantly fewer than in winter. However, the cooling effect of ventilation corridors in the prevailing summer wind direction is superior to that in winter. The ventilation network comprises 16 communities with distinct ventilation characteristics, exhibiting moderate connectivity, lacking small-world properties, and showing congestion and instability.

How do sectoral elasticities affect the transmission of monetary shocks?

PurposeThe presence of heterogeneity in price stickiness has been previously shown to be the main determinant of the real effects of nominal shocks. The paper presents theoretical results that highlight the significance of labor mobility and intratemporal elasticity of substitution across sectors.Design/methodology/approachThis paper explores output dynamics in a closed economy, relying on a New Keynesian model that accounts for heterogeneity in price stickiness across sectors.FindingsThe key finding from the analytical results is that changes in labor mobility and intratemporal elasticity of substitution across sectors have an equivalent impact on sectoral output when accounting for differences in price stickiness. The model is then calibrated for the US economy using data from the manufacturing and services sectors, providing validation for the analytical results.Originality/valueConventional models often assume either immediate labor reallocation across sectors following shocks or no labor mobility at all. Additionally, these models assume either strong complementarity in consumption or some degree of substitutability. This paper demonstrates the crucial role that labor reallocation and the elasticity of substitution across goods across sectors play in generating well-known economic outcomes.

Evaluation of Glutathione (GSH) System in Porcine Saliva: Validation and Application of Colorimetric Method.

(1) Reduced glutathione (GSH) is considered the first line of antioxidant defense. During oxidative stress, it is oxidized to glutathione disulphide (GSSG). (2) A simple and quick spectrophotometric method based on sodium borohydride (NaBH4) as a reductant to measure the total and reduced GSH in porcine saliva was analytically validated and evaluated in two situations in this species: (a) in a physiological situation, involving sows during the late lactation and post-weaning periods, and (b) in a situation of sepsis in pigs experimentally induced by LPS administration. (3) The results of the analytical validation showed that the assay was precise and accurate in the porcine saliva samples. Higher total GSH and GSSG and lower reduced GSH were observed in the saliva of sows during the post-weaning period, as well as in pigs with experimentally induced sepsis. (4) In conclusion, the validated assay showed adequate analytical results and could be used to evaluate the GSH system of porcine saliva, as demonstrated during the clinical performance.

Algorithm XXXX: The Delaunay Density Diagnostic

Accurate approximation of a real-valued function depends on two aspects of the available data: the density of inputs within the domain of interest and the variation of the outputs over that domain. There are few methods for assessing whether the density of inputs is sufficient to identify the relevant variations in outputs—i.e., the “geometric scale” of the function—despite the fact that sampling density is closely tied to the success or failure of an approximation method. In this paper, we introduce a general purpose, computational approach to detecting the geometric scale of real-valued functions over a fixed domain using a deterministic interpolation technique from computational geometry. The algorithm is intended to work on scalar data in moderate dimensions (2-10). Our algorithm is based on the observation that a sequence of piecewise linear interpolants will converge to a continuous function at a quadratic rate (in \(L^{2}\) norm) if and only if the data are sampled densely enough to distinguish the feature from noise (assuming sufficiently regular sampling). We present numerical experiments demonstrating how our method can identify feature scale, estimate uncertainty in feature scale, and assess the sampling density for fixed (i.e. static) datasets of input–output pairs. We include analytical results in support of our numerical findings and have released lightweight code that can be adapted for use in a variety of data science settings.