Financial hardship and health-related social needs (HRSNs) are prevalent among cancer patients and contribute to disparities in outcomes. Addressing these issues can reduce harm, yet routine screening and intervention remains underutilized. Navigator-led interventions such as combining out-of-pocket cost (OOPC) communication and financial navigation (CostCOM) have shown promise, but face implementation barriers due to navigator shortages. It is unclear whether financial education and resource access alone (FinEd), without navigator support, can meet patients' needs. We propose a three-arm pilot randomized controlled trial comparing FinEd, enhanced usual care (EUC) and CostCOM in 90 newly diagnosed cancer patients undergoing systemic or radiation therapy who screen positive for financial hardship or HRSNs. FinEd includes (1) a list of local/national resources for financial and HRSNs support, and (2) educational materials on health insurance, delivered via mail and a one-time phone/video session with a study coordinator. CostCOM includes (1) systemic therapy OOPC estimates, (2) financial navigation to identify assistance programs, and (3) financial counseling, delivered over two phone/video sessions by a financial navigator. EUC includes study-specific identification of financial hardship and HRSNs. Our goals are to investigate preliminary efficacy of the three arms within six months post-randomization on cost-related care non-adherence (primary outcome), treatment completion, missed appointments, financial worry, material hardship, insurance literacy, quality of life, and sleep quality. We will evaluate patient experience with FinEd using qualitative interviews. This study will support feasibility for a larger trial, and provide initial efficacy estimates comparing FinEd vs. EUC vs. CostCOM in improving cancer outcomes. Clinicaltrials.gov NCT06430840; registered 5/24/2024; https://clinicaltrials.gov/study/NCT06430840?cond=NCT06430840&rank=1.
"Shield laws" declare that, for purposes of reproductive health care, the law of the jurisdiction in which the clinician practices governs when state laws conflict. In 2024, approximately 100,000 pregnant people living in states that criminalize abortion provision received pills for a medication abortion from a clinician living in one of the eight states with these laws. One of these clinicians is New York's Margaret Carpenter, who was criminally charged in Louisiana and fined and enjoined in Texas. Carpenter's case testing shield laws, which is likely to go to the U.S. Supreme Court, should be framed as a "right to travel case" because telemedicine should be understood as a modern version of travel. If the Supreme Court ultimately accepts Louisiana and Texas's likely argument that it's a narrow "state regulation of medicine" case, the Court will be limiting the constitutional right to travel to people who have the money and time to physically travel for medical care, and withholding it from people who need the same care but who can afford to access it only through virtual travel.
Concurrent precision architecture of morphology and nanostructure in mesoporous microspheres is pivotal for high performance separations. Herein, we develop a template-in-template assembly nanostructuring (TiTAN) strategy to precisely synthesize monodisperse microspheres with ordered mesoporous nanostructure. Microfluidic droplet templating ensures uniform particle morphology (CV = 3%), while structure-directing agents within droplets enable tailored pore configurations, including 2D hexagonal, body-centered cubic, face-centered cubic, and cubic double gyroidal mesostructures. Through regulating hydrothermal conditions, structural parameters can be fined-tuned with 2 Å spatial resolution. By extending this manufacturing capability to a variety of material chemistries, chromatographic materials can now be de novo architectured with rationales, with the performance demonstrated by the solution of a classical separation challenge: resolving critical pairs (whose selectivity, α, infinitely approaching to 1), and with the shortest possible time. Beyond separation medium, the TiTAN strategy also suggests a route towards general synthesis of porous material with precision macroscopic morphology and microscopic nanostructure.
Since its implementation in 2006, the New York State Clinical Laboratory Practice Act has licensed 30,287 professionals. As of 2024, 56 disciplinary actions (0.18%) have been recorded, mostly due to criminal convictions (64.3%), particularly DWI, followed by fraudulent applications (23.2%) and workplace violations (12.5%). Males comprised 57% of the disciplined population, 66.7% of those fined, and 78.6% of the total fines paid. Most significant disciplinary outcome included 22 individuals (39.2%) that lost their licenses through annulment (n=13), revocation (n=2), surrender (n=5), and actual suspension (n=2). Laboratory disciplinary outcomes include 3 license surrenders and 1 actual suspension of at least two years (57.1% of workplace actions). Among cases triggered by criminal conviction, 2 licenses were surrendered and 2 revoked (11.1%). The data indicate rare but patterned misconduct, with notable gender disparities in penalties and license terminations.
This article assesses the causal impact of environmental enforcement (administrative fines) on deforestation and a set of municipal-level socioeconomic indicators in the Brazilian Amazon. Using a panel of 710 municipalities from 2003 to 2021 and defining treatment as the first municipal citation for deforestation, we apply a staggered difference-in-differences estimator. Results show that citations significantly reduce annual deforestation increments, with an average reduction of roughly 15,000 ha per treated municipality. Dynamic effects reveal no systematic pre-treatment trends and strong, persistent post-treatment responses beginning 2-3 years after the first citation. At the same time, we identify positive average effects on per capita GDP and agricultural value added, while evidence for formal employment and services value added should be interpreted cautiously in light of placebo sensitivity; effects on industry are not robust. Taken together, the findings indicate that environmental enforcement can reduce deforestation while supporting productive adaptation and economic upgrading-offering a feasible pathway to reconcile conservation with local development.
This paper establishes a particle flow model to simulate and analyze the coal fines transported through circular and elliptical aperture screen pipes with different parameters based on the discrete element method, which combines experimental research to study the influence of confining pressure, bond strength, and drainage negative pressure on the coal fines transportability. The study shows that: 1) The increase in confining pressure has a nonlinear increasing effect on coal fine particles throughput, and there is a critical threshold. Once this value is exceeded, the particle throughput increases sharply, causing of the screen pipe. When the confining pressure reaches 6 MPa, the screen pipe is filled with coal fines and becomes clogged. 2) The stronger the bonding strength of the coal fine particles, the worse the transportability, and the stronger the anticlogging ability of the screen pipe. 3) Under the condition that the aperture density and the total aperture area are the same, the coal fines throughput of the elliptical aperture screen pipe decreases approximately linearly with the increase in aspect ratio. As particle size increases, the percentage of particles transported through the screen pipe shows an inverted "V" shape, first increasing and then decreasing. 4) Increased aperture density decreases transportability linearly, but the transportability of large-sized particles increases in the case of low density. 5) Under the combined action of confining pressure and drainage negative pressure, the variation law of transportability is basically the same as that under confining pressure, but the throughput is approximately 1.3 times the throughput under confining pressure. 6) The final optimized parameters include elliptical aperture, major axis vertical to the screen axis, aspect ratio 4, and aperture density 35/m.
Surface acylation of softwood thermomechanical pulp (TMP) fines (<76 μm) using succinic anhydride (SA) and imidazole effectively introduced carboxyl groups to both lignin and carbohydrate components, increasing the total carboxyl content to 0.6 mmol/g and up to 1.2 mmol/g in lignin. This chemical modification facilitated fibrillation during high-pressure homogenization, producing a fine fraction with uniform microscale morphology and cellulose nanofibrils containing 12 wt% lignin (LCNF). Films produced from these SA-modified fines exhibited enhanced mechanical properties, including a tensile strength exceeding 31 MPa and a Young's modulus over 3.9 GPa. When incorporated into micro/nanofibrillated cellulose (M/NFC) matrices at 30-40 % loadings, the modified fines significantly improved the mechanical performance of M/NFC-derived films, nearly doubling tensile strength (from 36 MPa to over 65 MPa) and modulus (from 1.8 to ∼3.6 GPa), while concurrently enhancing UV-blocking performance without compromising water vapor transmission. Additionally, incorporation of SA-modified fines in M/NFC-based cryogels (from 1 wt% suspensions) increased compressive strength (from 19 to 29 kPa) and modulus (from 0.18 to 0.35 kPa), demonstrating their value as reinforcing agents in lightweight, bio-based materials. Importantly, the inclusion of these fines preserved the ultralow density and exceptionally low thermal conductivity (0.0307 W/m·K) of the cryogels, underscoring their potential in thermal insulation applications.
Shear strength parameters such as friction angle and cohesion are fundamental to solving geotechnical engineering problems related to slope stability, foundation design, and earthwork construction. This study presents the prediction of friction angle (Fi) and cohesion (Nc) of an unsaturated lateritic soil using three intelligent learning techniques: Support Vector Machine (SVM), Radial Basis Function (RBF), and Multilayer Perceptron (MLP), with Linear Multivariate Regression (LMR) adopted as a baseline model to evaluate agreement between input and output variables. The motivation for employing machine learning approaches stems from the limitations of complex laboratory testing and the need for reliable predictive tools that can support design and field applications. The investigated soil, classified as A-7-6 and poorly graded, exhibited coefficients of uniformity and curvature of 2.05 and 0.84, respectively. It was characterized by high plasticity and significant clay content, with a clay fraction of 23.02%, clay activity of 2, friction angle of 15°, maximum dry density of 1.84 g/cm3 at an optimum moisture content of 16.2%, and was tested under cyclic direct shear conditions. Multiple datasets were generated from varying treatment conditions and soil descriptors, forming the basis for model development. Eleven input parameters were used to predict Fi and Nc, and model performance was evaluated using Variance Accounted For (VAF), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and coefficient of determination (R2). The results indicate that RBF and MLP outperformed SVM and LMR in both training and testing phases for predicting cohesion and friction angle, demonstrating superior generalization capability. Sensitivity analysis using the Cosine Domain Method revealed that unsaturated unit weight had the greatest influence on friction angle prediction, while clay content was the most influential parameter for cohesion. Among all models, MLP achieved the highest accuracy and overall predictive performance. Based on this optimal model, a Graphical User Interface was developed to enable users to input soil parameters and obtain rapid predictions, providing a practical tool for researchers and practitioners in geotechnical engineering.
The purpose of this work was to synthesize and study catalytic systems based on a carbon-containing support obtained from coke fines from the Shubarkol deposit as a waste product of the coal industry for the processing of phenolic compounds. Based on the obtained carbon sorbent, mono- and binary catalysts with active phases of transition metal oxides (Fe, Co, Ni) were synthesized by wet impregnation, followed by heat treatment at 500-700 °C, as well as the aluminum oxide compositions. The surface morphology and elemental composition of the samples were studied by scanning electron microscopy (SEM) with energy dispersion analysis and elemental mapping (EDS mapping), and the content of active phases was determined using inductively coupled plasma optical emission spectrometry (ICP-OES). The catalytic activity was studied in phenol hydrogenation reactions. The CoO/C catalyst demonstrated the greatest activity, providing a 62.36% benzene yield during phenol hydrogenation. The catalytic activity of the CoO/C catalyst has also been studied in the hydrogenation reactions of structurally and functionally more complex compounds, pyrocatechol and resorcinol. The yield of benzene was 63.16% in the hydrogenation of pyrocatechol and 48.64% in the hydrogenation of resorcinol. It was found that the CoO/C catalyst exhibits the highest efficiency at a temperature of 420 °C, a pressure of 6-6.5 MPa and a reaction duration of 120 min. The results obtained make it possible to evaluate the prospects of using a carbon sorbent obtained from coke fines from the Shubarkol deposit as a support for CoO as part of an active and stable catalytic system designed for deep processing of phenolic compounds.
Liners made of natural materials, such as expansive soil with sand, have a wide range of applications, including geotechnical and geoenvironmental applications. Besides being environmentally friendly, these materials are locally available and can be constructed at a low cost. The concern regarding these liners is sustainability and serviceability in the long run. The research conducted revealed significant degradation in hydraulic performance after periods of operation under continuous flow, which was attributed to the migration of fines. This study investigated the stabilization of these liners by using biopolymers as a cementitious agent to prevent the migration of fines and enhance sustainability in the long run. Two different biopolymers were examined in this study, including guar gum (GG) and sodium alginate (SA). The hydraulic conductivity tests were conducted in the laboratory under continuous flow for a long period (i.e., more than 360 days). The results revealed that incorporating biopolymers into these liners is of great significance for enhancing their sustainability and hydraulic performance stability. Further in-depth identification of the interaction mechanisms demonstrates that biopolymer-soil interactions create cross-links between soil particles through adhesive bonding, forming a cementitious gel that stabilizes fines and enhances the stability of the liners' internal structure. Both examined biopolymers show significant stabilization of fines and stable hydraulic performance within the acceptable range, with high superiority of SA with EC20. The outcomes of this study are valuable for conducting an adequate and sustainable design for liner protection layers as hydraulic barriers or covers.
Obesity in patients with type 1 diabetes mellitus (T1DM) and kidney disease presents unique challenges, particularly after transplantation, where weight gain can compromise graft function and metabolic control. Bariatric surgery has emerged as a therapeutic option in transplant recipients with obesity, though its role in T1DM remains less explored. We report the case of a 45-year-old man with longstanding T1DM complicated by hypertension, diabetic retinopathy, and end-stage renal disease, who underwent a deceased-donor kidney transplant at age 40. Post-transplant, he developed type III obesity (BMI 44.5 kg/m2), poor glycemic control (HbA1c 9.8 %), and severe hepatic steatosis despite intensive medical therapy. Laparoscopic sleeve gastrectomy was performed without intraoperative complications (operative time 70 minutes, specimen weight 100 g, minimal blood loss). The postoperative course was notable only for a transient ileus requiring two days of hospitalization. At follow-up, the patient demonstrated significant weight loss, resolution of albuminuria, improved glycemic stability with marked reduction in insulin requirements, and improvement of hepatic steatosis. Importantly, immunosuppressant drug levels consistently remained within therapeutic range throughout follow-up. This case highlights the safety and efficacy of sleeve gastrectomy in a kidney transplant recipient with longstanding T1DM, resulting in significant metabolic, renal, and hepatic improvements without compromising graft function or immunosuppressive therapy. To our knowledge, this is the first reported case of sleeve gastrectomy in a patient with T1DM following kidney transplantation, underscoring its feasibility and the need for further research in this complex population.
The rapid growth of the food delivery sector has created job opportunities, particularly for young and low-income workers, but has also introduced new road safety challenges. To examine these risks, this study adapted and extended the Motorcycle Rider Behavior Questionnaire (MRBQ) to reflect the unique behaviors of food delivery riders. A 62-item MRBQ was developed through literature review and focus group discussions, and data were collected via an offline survey from 524 riders in Hanoi, Vietnam. The adapted MRBQ was analyzed using exploratory factor analysis to identify key dimensions of risky riding behavior, followed by a multivariate probit model to examine their associations with self-reported crashes, near-crashes, and fines. The analysis revealed six behavioral dimensions: traffic errors, safety violations, distractions, traffic violations, speeding violations, and control errors. Notably, the emergence of 'distractions' and 'traffic violations', linked to mobile phone use and frequent signal and lane breaches, highlights risk specific to app-based delivery work. The absence of the stunts factor, characterized by thrill-seeking behaviors, among food delivery riders further differentiates them from recreational or non-occupational riders, highlighting their more work-oriented and goal-driven riding style. The results further showed that older age, lower education, higher income, and lack of formal training were significantly associated with increased self-reported safety incidents, including crashes, near-crashes, and fines. Key behavioral predictors of these incidents were distractions, speeding, and traffic violations. The findings reinforce existing road safety recommendations by providing context-specific empirical evidence for food delivery riders, highlighting the continued importance of rider training and delivery platform designs that prioritize safety alongside efficiency in urban gig-economy settings.
Recycled concrete fines (RCF), generated during the demolition and recycling of concrete structures, are a promising secondary raw material for cementitious systems, yet their low reactivity has limited large-scale use. In this study, RCFs were subjected to controlled thermal treatments at 400, 600, and 800 °C to systematically investigate their physicochemical transformations and subsequent influence on the blended cement performance. Characterization revealed temperature-dependent modifications in particle size, surface property, phase assemblage, and morphology, which were directly correlated to hydration kinetics, rheology, and mechanical strength. Among the tested conditions, thermal treatment at 600 °C optimally enhanced the RCF reactivity by decomposing weak hydrates while preserving carbonate phases, leading to improved hydration, workable rheology, and higher compressive strength. A cradle-to-gate life cycle assessment further quantified the environmental trade-offs, showing that moderate activation conditions can balance property enhancement with reduced carbon emissions. This integrated analysis highlights thermal treatment as a practical pathway for valorizing recycled concrete fines in sustainable cementitious systems, advancing circular economy practices and low-carbon construction materials.
This study examines how China's former one-child policy has shaped fertility attitudes among the Chinese diaspora in the United States. Through semi-structured qualitative interviews with thirty reproductive-age women of Chinese descent, either born in China or first-generation immigrants to the United States, this study explored opinions towards the policy, self-reported impact on reproductive decision-making, and attitudes towards family size. Participants were recruited from an internet-based survey distributed through cultural groups on social media, paper flyers, and email listservs. Interviews were analysed using the principle of thematic analysis by three authors, who met after coding to resolve disagreements. The mean age of participants was 33. Six participants (20%) used an interpreter. Eighteen participants (60%) were born in China. The range of pregnancies was 0-5, and the range of births was 0-2. Authors found that while participants were no longer directly constrained by the one-child policy, many continued to demonstrate preferences for fewer children. Financial strains, resource allocation, societal shame, and internalised social norms emerged as key themes. These themes echo messages promoted during the one-child policy era through propaganda and enforcement measures, such as audits of family registrations, rewards for compliant families, fines, mandatory IUDs, or sterilisations for noncompliant ones, and even forced abortions for 'unauthorized' pregnancies. These messages reinforced that small families were more appropriate. These findings suggest a lasting cultural shift towards fewer children as a result of the policy, even after emigration. They also carry theoretical implications towards understanding the long-term social and psychological consequences of reproductive mandates and the generational transmission of policy-shaped fertility norms. This study offers a perspective for nations currently implementing pronatalist fertility regulations. These findings highlight the role of historical policies in shaping contemporary reproductive perspectives, family dynamics, and potentially, engagement with medicine beyond geographic, political, and temporal boundaries.
The presence of fines in granular materials significantly affects their shear strength, particularly under low confining pressure conditions. In this study, drained triaxial compression tests were simulated using the discrete element method on spherical granular assemblies with varying fines content [Formula: see text] and confining pressures [Formula: see text] to investigate the influence of [Formula: see text] on the macroscopic mechanical response and underlying micro-mechanical mechanisms. Macroscopic results show that the global void ratio exhibits a non-monotonic trend, first increasing and then decreasing whereas the skeletal void ratio monotonically decreases with increasing [Formula: see text]. The peak stress ratio [Formula: see text] rapidly increases initially and then stabilizes above a certain critical confining pressure [Formula: see text]. Intriguingly, this [Formula: see text] is found to approximately decrease as the [Formula: see text] increases. At high fines content, many fine particles initially act as rattlers under low confining pressure but progressively become incorporated into load-bearing force chains as the confining pressure increases. This mobilization enhances coarse–fine contacts, thereby contributing additional shear strength to the assembly. Based on these findings, an improved failure criterion is proposed, which accurately predicts the shear strength of granular materials across different fines contents and effectively captures its nonlinear variation under low confining pressures.
Despite significant progress in road safety in developed countries, it remains a persistent and critical challenge in the developing world. This study investigates the long- and short-term relationships between socio-economic conditions and road safety performance in affluent developing countries, using the United Arab Emirates (UAE) as a case study. Employing an autoregressive distributed lag (ARDL) cointegration error-corrected model with data from 1980 to 2024 (sourced from the UAE Federal Government, the World Bank, and UN World Population Prospects), the analysis examines the link between the road crash severity index (fatalities to total injuries) and core socio-economic variables-GDP per capita, unemployment rate, and population density-while controlling for traffic law enforcement via fines. The findings confirm a long-term equilibrium, with an error correction term indicating road safety adjusts to socio-economic shocks at a rapid annual rate of 60%. Granger-causality tests further establish that these socio-economic factors significantly influence road safety outcomes, a concern underscored by an identified upward trend in crash severity. We conclude that socio-economic conditions are a fundamental determinant of road safety, highlighting the necessity for policy interventions that move beyond traditional engineering solutions. Consequently, road safety must be reframed not solely as a transportation concern but as an integral objective of public health and socioeconomic policy, which requires a collaborative, multi-sectoral approach to forge a resilient, safe system.
Environmental conservation research requires robust methods for collecting large-scale behavioral data and engaging diverse stakeholders in decision-making processes. We (Y.P., A.B.D., and N.B.) created EcoKnowGames (Ecological Knowledge Games), a transdisciplinary project that develops knowledge games for conservation science and data collection. We explored two existing knowledge games created by ecologists for the project: Power Up!, which collected over 57,000 player decisions on energy-biodiversity trade-offs, and RESTORE, focused on ecosystem restoration scenarios. Building on these examples, EcoKnowGames integrates game development with ecological modeling to establish pathways from player decision-making data to predictive socioecological models. We developed EcoKnowGames open-source game builder tool in partnership with an established game studio, which allowed researchers to create custom knowledge games without extensive technical expertise. EcoKnowGames addresses key challenges in game-based research, including privacy protection, participant consent, community engagement, and policy applications. This novel approach contributes to conservation research by providing empirically tested tools for integrating human behavior data into socioecological models and offers a complementary approach to traditional stakeholder engagement methods in decision-making processes. Conclusiones para la conservación extraídas del proyecto «Ecological Knowledge Games» Resumen La investigación en conservación del medio ambiente requiere métodos sólidos para recopilar datos de comportamiento a gran escala e involucrar a diversas partes interesadas en los procesos de toma de decisiones. Nosotros (Y.P., A.B.D. y N.B.) hemos creado EcoKnowGames (Juegos de Conocimiento Ecológico), un proyecto transdisciplinar que desarrolla juegos de conocimiento para la ciencia de la conservación y la recopilación de datos. Para el proyecto, analizamos dos juegos de conocimiento ya existentes creados por ecólogos: Power Up!, que recopiló más de 57 000 decisiones de los jugadores sobre las compensaciones entre energía y biodiversidad, y RESTORE, centrado en escenarios de restauración de ecosistemas. Partiendo de estos ejemplos, EcoKnowGames integra el desarrollo de juegos con la modelización ecológica para establecer vías que conecten los datos de las decisiones de los jugadores con modelos socioecológicos predictivos. Desarrollamos la herramienta de creación de juegos de código abierto EcoKnowGames en colaboración con un estudio de videojuegos consolidado, lo que permitió a los investigadores crear juegos de conocimiento personalizados sin necesidad de amplios conocimientos técnicos. EcoKnowGames aborda retos clave en la investigación basada en juegos, como la protección de la privacidad, el consentimiento de los participantes, la participación de la comunidad y las aplicaciones políticas. Este enfoque novedoso contribuye a la investigación sobre conservación al proporcionar herramientas, probadas empíricamente, para integrar datos de comportamiento humano en modelos socioecológicos y ofrece un enfoque complementario a los métodos tradicionales de participación de las partes interesadas en los procesos de toma de decisiones. 生态知识游戏) 项目对保护研究的启示 环境保护研究需要稳健的方法来收集大规模行为数据, 并促进多样化利益相关者参与决策过程。我们(Y.P, A.B.D., and N.B)创建了 EcoKnowGames(生态知识游戏)项目。这是一个跨学科项目, 致力于开发“知识游戏”, 以支持保护生物学中的社区科学(community science)实践与行为数据收集。我们分析了两款由生态学家开发的现有知识游戏:Power Up! (收集了超过 57,000 条玩家在能源与生物多样性权衡方面的决策数据)以及 RESTORE(聚焦生态系统恢复情景)。以此为基础, EcoKnowGames 将游戏开发与生态建模相结合, 建立了从玩家决策数据到预测性社会‐生态模型 的转化路径。通过与成熟的游戏工作室合作, 该项目开发了一个开源游戏构建工具, 使研究人员无需深厚的技术背景即可创建定制化的知识游戏。此外, EcoKnowGames 还解决了游戏化研究中的关键挑战, 包括隐私保护、知情同意、社区参与及政策应用。这一创新方法为保护研究提供了经实证检验的工具。通过知识游戏, 研究者可将人类行为数据纳入社会‐生态模型, 也为传统的利益相关者参与决策方式开辟了新的路径。.
The study examines how crushed and sieved concrete rubble-recycled concrete fines (RCF) and the ways of their reactivity activation-affect processing, mix design, and properties of cement-based concrete. Based on the relationship to mass loss during crushing, the compressive strength of the concrete fines processed from rubble was initially determined. The morphology of the particles as well as the chemical and mineralogical composition of RCF were ascertained using XRD, SEM, and EDS characterization tests. Certain RCF surface area (fineness) and type of treatment are associated with specific pozzolanic activity of RCF. Using the approaches of factorial experimental design, tests were planned by varying six factors: RCF specific surface area, RCF content, thermal treatment temperature of RCF, cement content, superplasticizer dosage, and hardening accelerator (Na2SiF6) content in concrete containing RCF. Statistical processing of the research results data provided adequate polynomial regression models for the water demand of the concrete and the compressive strength of hardened concrete at 7 and 28 days. The models were quantitatively analyzed to evaluate the influence of the studied factors on the output parameters and to rank them according to their impact. The greatest increase in water demand was attributed to cement content change, in particular above 400 kg/m3, and to RCF content. It was established that the addition of a superplasticizer compensated for additional water demand and the reduction in compressive strength caused by partial replacement of cement with RCF. Increasing the specific surface area of RCF up to a specific surface area of 250 m2/kg improved compressive strength but further grinding caused strength reduction due to increased water demand. The positive effect of the superplasticizer on RCF-modified concrete strength was enhanced by the introduction of a chemical activator (hardening accelerator) and thermal treatment of RCF. The obtained models of water demand and compressive strength of concrete with RCF can be applied for the optimization of the mix design. This paper proposes a method of mix design and provides an example of calculation.