Sustained Rates Research Articles

Extreme Fast Charging and Stable Cycling of Lithium Manganese Oxide Batteries by Suppression of Cathode Phase Changes

AbstractExtreme fast charging (XFC, i.e., 80% state of charge within 15 min, 4C rate) remains a high‐desirability criterion for next‐generation lithium batteries. While the anodes, such as, graphite and lithium are historically acknowledged as the critical hurdles toward XFC of Li‐ion batteries, the stability of cathodes under such sustained high rate cycling has not been addressed in literature. In this work, for the first time, the XFC and 4C cycling of cobalt‐free LiMn2O4 (LMO) batteries with practical areal capacity (1 mAh cm−2) are investigated. This work demonstrates that the high rate cycling of LMO brings forth a cascade of irreversible phase changes in the bulk of the cathode, which initiates the electrolyte degradation. The electrolyte degradation and cathode irreversibility play a compounding role in the capacity loss during cycling, even with high‐rate compatible anodes, e.g., Li4Ti5O12 (LTO). This capacity loss is overcome by combining a micro‐structured LMO cathode and a novel electrolyte containing a novel lithium salt, lithium 1,1,1,3,3,3 (tetrakis) hexafluoroisopropoxy borate. Cycling of the LMO|LTO cells shows 98 mAh g−1 initial discharge capacity at 4C‐4D cycling and 91% capacity retention after 1500 cycles while charging to 90% of total capacity in 10 min.

Decision-making technique with neutrosophic [formula omitted]-rough set approach for sustainable industry evaluation using sine trigonometric operators

To overcome the shortcomings of existing fuzzy decision-making models, the approximation of the neutrosophic Z-number becomes an invaluable tool in complicated circumstances including incomplete and contradictory data. To overcome the challenges of methods like multi-criteria decision-making (MCDM), trapezoidal neutrosophic numbers (TrNNs), and neutrosophic Z-numbers (NZNs), this approach integrates rough set theory, neutrosophic set theory, and Z-numbers to introduce Neutrosophic Z-Rough data. Issues like measurement reliability in TrNNs and continuity difficulties in NZNs can be addressed with the use of sophisticated aggregation techniques and Neutrosophic Z-Rough numbers (NZRNs). Using the periodicity and symmetry of the sine-trigonometric function (STF), this work investigates sine-trigonometric approaches to Neutrosophic Z-Rough numbers. New Rough Neutrosophic Z-number sine-trigonometric aggregation operators are obtained by merging the special features of the STF with the NZRNs. The method’s practical applicability within the NZRN framework is demonstrated by applying these operational notions to the MCDM approach, which supports sustainable decision-making in commercial contexts. In addition to improving the NZRN domain’s decision-making efficiency and rationality, this study guarantees a consistent and trustworthy assessment method. New approaches based on NZRNs are necessary since conventional MCDM frameworks are unable to handle the uncertainties brought forth by Industry 4.0. Results from a battery of tests—including sensitivity analyses, reliability evaluations, and comparison studies show that the suggested method is fresh, trustworthy, and excellent for gauging corporate sustainability.

Econometric analysis of cement companies in an emerging market: A sustainability outlook

Cement plays a crucial role in India’s infrastructure projects and contributes significantly to the nation’s gross domestic product (GDP) and employment. India’s urbanization relies heavily on this sector as the world’s second-largest producer of cement. Given its economic importance, understanding and assessing financial health and predicting the likelihood of default by these companies are critical for stakeholders. This study investigates various financial ratios, assesses their significance, and explores their relationship with the Altman Z score, a financial ratio used to predict the probability of a company’s bankruptcy. Recent corporate practices show a growing trend toward incorporating corporate social responsibility (CSR) reporting and sustainable growth rate (SGR) reporting into mandatory disclosures. These metrics are strategically used to improve public perception, build stakeholder trust, and convey a company’s reliability and operational performance. This study further explores the potential impact of CSR and SGR on bankruptcy risk, assessed using the Altman Z-score. Empirical analysis within the Indian cement industry reveals that, at present, CSR and SGR factors may not have a significant effect on financial distress. This study contributes significantly to the understanding of the financial health of the Indian cement industry while examining the evolving roles of CSR and SGR. It provides a nuanced perspective by empowering stakeholders to identify financial and non-financial indicators of stability. It also emphasizes the critical need for holistic assessment methodologies in the ever-evolving corporate landscape.

Iris: A Next Generation Digital Pathology Rendering Engine.

Digital pathology is a tool of rapidly evolving importance within the discipline of pathology. Whole slide imaging promises numerous advantages; however, adoption is limited by challenges in ease of use and speed of high-quality image rendering relative to the simplicity and visual quality of glass slides. Herein, we introduce Iris, a new high-performance digital pathology rendering system. Specifically, we outline and detail the performance metrics of Iris Core, the core rendering engine technology. Iris Core comprises machine code modules written from the ground up in C++ and using Vulkan, a low-level and low-overhead cross-platform graphical processing unit application program interface, and our novel rapid tile buffering algorithms. We provide a detailed explanation of Iris Core's system architecture, including the stateless isolation of core processes, interprocess communication paradigms, and explicit synchronization paradigms that provide powerful control over the graphical processing unit. Iris Core achieves slide rendering at the sustained maximum frame rate on all tested platforms (120 FPS) and buffers an entire new slide field of view, without overlapping pixels, in 10 ms with enhanced detail in 30 ms. Further, it is able to buffer and compute high-fidelity reduction-enhancements for viewing low-power cytology with increased visual quality at a rate of 100-160 μs per slide tile, and with a cumulative median buffering rate of 1.36 GB of decompressed image data per second. This buffering rate allows for an entirely new field of view to be fully buffered and rendered in less than a single monitor refresh on a standard display, and high detail features within 2-3 monitor refresh frames. These metrics far exceed previously published specifications, beyond an order of magnitude in some contexts. The system shows no slowing with high use loads, but rather increases performance due to graphical processing unit cache control mechanisms and is "future-proof" due to near unlimited parallel scalability.

Chitosan-coated PLA/poloxamer nanoparticles stimulate immunologic cancer cell death and synergistic chemo-immunotherapeutic efficacy

Cancer, a key factor in declining global life expectancy, has driven the integration of chemotherapy and immunotherapy to address multidrug resistance and influence the tumor microenvironment. We developed a novel vaccine delivery carrier, a chitosan-coated polylactic acid/poloxamer nanoparticle (CPP NP), designed to co-encapsulate an anticancer drug and antigen without any chemical conjugation process, enabling effective and synergistic cancer chemo-immunotherapy. The CPP NP achieved synergistic efficacy through paclitaxel (PTX), an immunogenic cell death-inducing chemotherapeutic agent; ovalbumin (OVA), which promotes dendritic cell maturation; and enhanced cellular uptake facilitated by chitosan. The PTX and OVA-loaded CPP NPs (PTX/OVA@CPP NPs) were stable in PBS for four weeks and resuspended well after lyophilization without any cryoprotectants. Moreover, PTX and OVA from the NPs exhibited a sustained release rate and pH-responsive release pattern within different cellular microenvironments. Importantly, PTX@CPP NPs exhibited much higher anticancer efficacy across various cancer cell lines, even multidrug-resistant cells, compared to free PTX and PTX@PP NPs without the chitosan coating. In antigen-presenting cells, OVA@CPP NPs led to higher IL-2 secretion and cellular uptake compared to free OVA and OVA@PP NPs. Furthermore, in a tumor-bearing mouse model, PTX/OVA@CPP NPs exhibited strong synergistic tumor suppression and triggered OVA antigen-specific responses, promoting an antitumor immune response. These findings demonstrate that PTX/OVA@CPP NPs show potential as new chemo-immunotherapeutic agents for effective cancer treatment.

Zein/chitosan Janus film incorporated with tannic acid and cinnamon essential oil co-loaded Pickering emulsion for sustained controlled release and pork preservation.

The development of active packaging offers a promising approach to reducing food waste. However, challenges remain, particularly in achieving efficient release dynamics of active compounds and balancing the barrier properties. Herein, a Janus structure zein/chitosan film is custom designed by layer-by-layer casting method to achieve sustainable and unidirectional release performance of antimicrobial agent, which comprises an inner loading layer of tannic acid (TA) and cinnamon essential oil (CEO) co-loaded Pickering emulsion incorporated with chitosan and an outer barrier layer of zein. The good interfacial compatibility between the entities of Pickering emulsion/chitosan loading layer and zein barrier layer had be confirmed via physicochemical structure characterization. The lower swelling rate of Pickering emulsion/chitosan film (47.61%-51.71%) indicated the sustained and stable release rate of substances from the inner loading layer, while the zein barrier layer restricted the diffusion of active molecules due to the high swelling rate (162.52%). In addition, the films showed excellent antimicrobial activity (>99% against key foodborne pathogens) and radical scavenging activity (2.5-fold enhancement). Moreover, the film loading layer showed predominantly controlled by a quasi-Fickian diffusion, and prolonged the shelf life of pork by 6days under the unidirectional sustained release. Our work presents a promising fabrication strategy of antimicrobial packaging film with sustainable release performance for food preservation.

Industrial ultra-low-carbon methanol synthesis routes: techno-economic analysis, life cycle environment assessment and multi-dimensional sustainability evaluation

The GH2-CTM process and BTM process we proposed have excellent technical-economic-environmental performance, addressing the issues of high energy consumption and high carbon emissions associated with traditional CTM process.

The CuboDAQ data acquisition system

CuboDAQ is a custom data acquisition system to read out SiPM-based detectors. It features electronic boards to digitize the SiPMs signal, an FPGA-based system-on-module board, the connectivity to transmit the data to a central server, and all the software necessary to operate them. The front-end is based on the TOFPET2 ASIC, produced by PETsys, connected to a custom board, featuring an Enclustra Mercury SA1 module with a Cyclone V FPGA. Multiple boards can be operated synchronously by distributing the clock and synchronous reset signals from a central source. The system features a complete software framework to calibrate and monitor the detectors, to acquire and process data and to perform track reconstruction. The CuboDAQ system performance has been evaluated in different scenarios and can cope with sustained rates of above 4·106 hits/s, with peaks of more than 7·106 hits/s. This system has been employed for the readout of the SND@LHC detector at CERN, a testbeam telescope and lab setups.

Enhanced Control Efficacy of Different Insecticides Mixed with Mineral Oil Against Asian Citrus Psyllid, Diaphorina citri Kuwayama, Under Varying Climates.

Asian citrus psyllid (ACP), Diaphorina citri (Hemiptera: Liviidae), is one of the most devastating pests in citrus orchards due to its role in transmitting Huanglongbing (HLB). Currently, chemical control remains the most effective strategy for ACP management. Mineral oils are commonly used as insecticides or adjuvants in integrated pest management (IPM) practices. To extend the product life of synthetic pesticides, we evaluated the toxicity of chlorpyrifos (CPF), thiamethoxam (THX), or pyriproxyfen (PPF) mixed with mineral oil Lvying (LY) against ACP nymphs under different weather conditions. Individual application of CPF, THX, and PPF effectively controlled against ACP nymphs under no rain conditions, with mortality rates varying from 20 to 100% during 1-5 d after treatment. The addition of LY at 1.0% or 0.5% rates to CPF, THX, and PPF significantly enhanced their control efficacy, achieving sustained mortality rates from 60 to 100% during the same period. Light rain had less impact on the control efficacy of these insecticide mixtures compared to individual insecticides. However, cumulative rainfall above 20 mm significantly reduced the control efficacy of individual insecticides and their mixtures. The addition of LY decreased both surface tension and contact angle of THX solution on citrus leaves, thereby enhancing the solution's wetting and increasing THX deposition. Moreover, the rainfastness of THX was improved after adding LY, leading to a greater retention on the leaves. LY at a rate of 1.0% exhibited excellent efficacy against ACP nymphs, and observations using scanning electron microscopy (SEM) showed that LY altered ACP mouthpart morphology and blocked spiracles, likely contributing to its insecticidal effects. This study revealed that mineral oils can serve as both insecticides to combine with synthetic pesticides for enhancing toxicity against ACP and as adjuvants to facilitate the deposition and rainfastness of synthetic pesticides on leaves, which could be recommended for sustainable ACP management in citrus orchards.

A comprehensive assessment of Liatris helleri demography: Insights from 16 years of observations and modeling

AbstractWe analyzed demographic data for the endangered Blue Ridge endemic Liatris helleri (16 years, 6 sites, 982 plants, and 15,697 annual transitions). We recorded survival, growth, flowering, and recruitment. We evaluated effects of poaching, trampling, browsing, and fire which are potential population drivers for this species. Population size exhibited quasi stable trends, with some population changes attributable to fire or browsing. Survival, growth, and number of heads per plant varied among populations, increased with plant diameter, and were affected by browsing and fire (including overcompensation). Recruits were rarely observed but their numbers increased after fire. We built a projection model including seedlings, second year recruits, adults, and dormant plants. Populations were projected for 50 years. Decadal fires maintained sustainable recruitment rates. Browsing probabilities varied among populations and years; browsing increased the uncertainty of stochastic population growth and boosted extinction probability. Consideration of long‐term, spatially replicated data and multiple drivers permitted us to evaluate demographic threats of a relatively long‐lived species. Overall, these models suggested that L. helleri populations are likely to persist in the near term under current conditions. However, given their population growth rates near one and poor recruitment, any drivers that reduce their survival are threats to this species.

Analysis of Sustainable Growth Rate in Manufacturing and Construction Firms: Evidence from Selected Western Balkan Countries

This research’s primary goal is to examine the factors influencing organizations’ sustainable growth rates (SGR) between 2013 and 2022. A panel regression analysis was done to extensively assess the variables linked with SGR. The study included data from 92 manufacturing and construction companies in selected Western Balkan countries, resulting in a dataset of 1,012 observations. According to the study, asset efficiency and sales growth have a positive and significant impact, while leverage negatively impacts the SGR. These results are important to companies because they provide useful insights that can help them achieve their planned SGR. Management can make informed decisions to improve business performance by better understanding the impact of factors such as asset efficiency, leverage ratio, and sales growth on SGR. This informed decision-making not only ensures a healthy growth path but also helps avoid major financial problems. The study underlines that the findings serve as a significant tool for business management in long-term planning and strategy formulation. By providing insight into the company’s growth goals and prospects, this congruence also benefits numerous internal and external stakeholders. Additionally, it makes it possible to examine the company’s overall business situation more precisely and helps forecast its long-term performance.

ТЕНДЕНЦИИ РАЗВИТИЯ ЦИФРОВЫХ ТЕХНОЛОГИЙ В СЕЛЬСКОМ ХОЗЯЙСТВЕ

Ensuring sustainable rates of Russian agriculture development requires significant investment, which is due to the introduction of digital technologies in the industry. The solution to this issue in practice is impossible without the implementation of federal projects and programs by the state. In recent years, certain trends in increasing production volumes have been achieved in the agricultural sector of Russia, which is also positively influenced by the digital solutions introduced into agriculture. Technologies with a quick payback have become especially popular among farmers of our country: fuel and lubricant consumption monitoring sensors; cloud solutions, the main purpose of which is forecasting, accounting, planning; digital solutions for agricultural enterprises with an industrial type of production; and the least - technologies related to forecasting or modeling due to their longer payback. By 2022, there is a decrease in the gap in the indicators characterizing the availability of websites, use of internet, computer networks in agricultural formations and the average values for all organizations in the country. The development and implementation of digital technologies in agricultural production requires the use of an integrated approach that would include the interaction of the state and business in the industry in order to achieve higher indicators. At the same time, we must not forget about legal support, and it is also necessary to improve the technological, organizational, financial, personnel components in solving the problem under consideration.

What attracts sustainable fund flows? Prospectus versus ratings*

AbstractMany studies indicate that sustainability ratings attract high fund flows, reinforcing the dominant role of rating agencies for the fund industry. However, these studies neglect prospectus information, which is very likely to influence investors' decisions. By analyzing 23,606 equity mutual funds and ETFs, we find that self-declared sustainability statements in fund prospectus are the main driver of retail and institutional fund flows. Additionally, sustainability references in the fund name and the fund’s employed sustainability investment approach significantly affect flows. External sustainability ratings on the other hand appear to be less relevant for fund flows than previous studies suggest.

Evaluation of Soil Quality and Health Sustainability of Cocoa (Theobroma Cacao) Crop in Two Production Systems, Morona, Santiago, Ecuador

The productive evaluation of cocoa in this research is proposed through an assessment of soil quality and crop health in an organic production system (SPO) Taisha canton and a conventional production system (SPCv) Morona canton. Methodology: Altieri and Nicholls establish a diagnosis of chemical, physical, biological and health indicators, with weightings high (10), medium (5) and low (1). Results: SPO soil quality, reflects weights 10 (high) for ammonium ion, zinc, copper, iron, manganese, moisture retention, biological activity, compaction, apparent density, residue status, color, organic matter, root development, erosion incidence; 5 (medium) potassium, phosphorus, calcium, sulfur, pH, texture; 1 (low) magnesium, boron, topsoil depth, for crop health values ​​of 10 (high) appearance, crop growth, stress resistance or tolerance, weed competition, agrosilvopastoral system, plant diversity and management system, 5 (medium) potential yield, incidence of pests and diseases. The SPCv soil quality presented a weighting of 10 (high) for nitrogen, zinc, copper, iron, biological activity, compaction, bulk density, color, organic matter, root development, erosion incidence; 5 (medium) manganese, pH, texture, moisture retention, residue status; 1 (low) potassium, phosphorus, calcium, magnesium, sulfur, boron, topsoil depth; crop health 10 (high) crop appearance and growth, stress resistance or tolerance, weed competition, agrosilvopastoral system, plant diversity, management system, potential yield, 5 (medium) incidence of pests and diseases, 1 (low) surrounding natural diversity. Conclusions: The SPO for soil quality: 7.41 and for crop health: 7.59 weighted as sustainable, while the SPCv for soil quality: 6 and crop health: 6.76, resulting in a moderately sustainable production system.

Improving future agricultural sustainability by optimizing crop distributions in China.

Improving agricultural sustainability is a global challenge, particularly for China's high-input and low-efficiency cropping systems with environmental tradeoffs. Although national strategies have been implemented to achieve Sustainable Development Goals in agriculture, the potential contributions of crop switching as a promising solution under varying future climate change are still under-explored. Here, we optimize cropping patterns spatially with the targets of enhancing agriculture production, reducing environmental burdens, and achieving sustainable fertilization across different climate scenarios. Compared with current cropping patterns, the optimal crop distributions under different climate scenarios consistently suggest allocating the planting areas of maize and rapeseed to the other crops (rice, wheat, soybean, peanut, and potato). Such crop switching can consequently increase crop production by 14.1%, with accompanying reductions in environmental impacts (8.2% for leached nitrogen and 24.0% for irrigation water use) across three representative Shared Socio-economic Pathways from 2020 to 2100. The sustainable fertilization rates vary from 148-173 kg N ha-1 in 2030 to 213-253 kg N ha-1 in 2070, significantly smaller than the current rate (305 kg N ha-1). These outcomes highlight large potential benefits of crop switching and fertilizer management for improving China's future agricultural sustainability.

PENGUATAN PENDIDIKAN DAN EKONOMI KELUARGA BAGI JAMA’AH TIDAK MAMPU DI MASJID AL-JIHAD BANJARMASIN PERSPEKTIF MAQÂSHID ASY-SYARÎ’AH

Article is motivated by the "Al-Jihad Cares" program owned by the Al-Jihad Mosque, Muhammadiyah Branch 4, Banjarma sin. The "Al-Jihad Cares" program is very interesting, because this program has great potential as a solution in helping congregations who are unable to fulfill and improve basic needs in strengthening an independent family. The method used in this research is descriptive-analytic with an Islamic legal philosophy approach. The analysis technique is to describe the research results based on the problems being studied, then analyze them using an Islamic legal philosophy approach, in this case Maqâshid asy-Syarî'ah . Among the Banjarmasin Mosque al -Jihad programs which are oriented towards strengthening congregation who do not capable is a strengthening program education for family the congregation does not capable. this program implemented in effort help congregation who have the kids will separated school , help And motivating they For Spirit demand knowledge to become an educated , moral generation And character . In review Maqâshid ash-Shari'ah this program is an emergency program in maintaining religion and sense. As for the strengthening program economy family for congregation who do not capable implemented with pattern give a number Money cash every month , give Money cash for additional capital business scale small or as initial capital For open business home . In perspective Maqâshid ash- Shari'ah program This is emergency matter​ in strive need basic life​ in A family. Based on findings results research , Takmir Mosque has not provided a sustainable evaluation , because There is no special monitoring and assistance yet to achievements of the "Al-Jihad Cares" program , and matter even this recognized by they.

THE INFLUENCE OF ASSET EFFICIENCY, FINANCIAL PERFORMANCE, AND FINANCIAL LEVERAGE ON SUSTAINABLE GROWTH RATE THROUGH GOOD CORPORATE GOVERNANCE

This study aims to examine the Effect of Asset Efficiency, Financial Performance and Financial Leverage on Sustainable Growth Rate Through Good Corporate Governance. This study is classified as an associative quantitative study. The type of data used is secondary data obtained from www.idx.co.id and the company's website. The population in this study is the Manufacturing Companies in the Consumer Goods Industry Sector listed on the IDX for the 2018-2022 Period. While the sample of this study was determined by the sampling technique used in this study is non-probability sampling, namely purposive sampling so that 20 sample companies were obtained that met the criteria. The analysis method used is Panel Data Model Regression analysis. The results of this study indicate that asset efficiency does not affect the Sustainable Growth Rate (1), financial performance does not affect the Sustainable Growth Rate (2), financial leverage affects the Sustainable Growth Rate (3), asset efficiency affects Good Corporate Governance (4), financial performance affects Good Corporate Governance (5), financial leverage affects Good Corporate Governance (6). Sustainable Growth Rate has an effect on Good Corporate Governance (7), Asset Efficiency does not have a significant effect on the Sustainable Growth Rate variable through the Good Corporate Governance variable (8), Financial Performance does not have a significant effect on the Sustainable Growth Rate variable through the Good Corporate Governance variable (9), Financial Performance does not have a significant effect on the Sustainable Growth Rate variable through the Good Corporate Governance variable (10). Leverage does not have a significant effect on the Sustainable Growth Rate variable through the Good Corporate Governance variable (10).

Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study.

Digital mental health is a promising paradigm for individualized, patient-driven health care. For example, cognitive bias modification programs that target interpretation biases (cognitive bias modification for interpretation [CBM-I]) can provide practice thinking about ambiguous situations in less threatening ways on the web without requiring a therapist. However, digital mental health interventions, including CBM-I, are often plagued with lack of sustained engagement and high attrition rates. New attrition detection and mitigation strategies are needed to improve these interventions. This paper aims to identify participants at a high risk of dropout during the early stages of 3 web-based trials of multisession CBM-I and to investigate which self-reported and passively detected feature sets computed from the participants interacting with the intervention and assessments were most informative in making this prediction. The participants analyzed in this paper were community adults with traits such as anxiety or negative thinking about the future (Study 1: n=252, Study 2: n=326, Study 3: n=699) who had been assigned to CBM-I conditions in 3 efficacy-effectiveness trials on our team's public research website. To identify participants at a high risk of dropout, we created 4 unique feature sets: self-reported baseline user characteristics (eg, demographics), self-reported user context and reactions to the program (eg, state affect), self-reported user clinical functioning (eg, mental health symptoms), and passively detected user behavior on the website (eg, time spent on a web page of CBM-I training exercises, time of day during which the exercises were completed, latency of completing the assessments, and type of device used). Then, we investigated the feature sets as potential predictors of which participants were at high risk of not starting the second training session of a given program using well-known machine learning algorithms. The extreme gradient boosting algorithm performed the best and identified participants at high risk with macro-F1-scores of .832 (Study 1 with 146 features), .770 (Study 2 with 87 features), and .917 (Study 3 with 127 features). Features involving passive detection of user behavior contributed the most to the prediction relative to other features. The mean Gini importance scores for the passive features were as follows: .033 (95% CI .019-.047) in Study 1; .029 (95% CI .023-.035) in Study 2; and .045 (95% CI .039-.051) in Study 3. However, using all features extracted from a given study led to the best predictive performance. These results suggest that using passive indicators of user behavior, alongside self-reported measures, can improve the accuracy of prediction of participants at a high risk of dropout early during multisession CBM-I programs. Furthermore, our analyses highlight the challenge of generalizability in digital health intervention studies and the need for more personalized attrition prevention strategies.

Asciminib add-on to imatinib demonstrates sustained high rates of ongoing therapy and deep molecular responses with prolonged follow-up in the ASC4MORE study

BackgroundUp to 65% of patients with chronic myeloid leukemia (CML) who are treated with imatinib do not achieve sustained deep molecular response, which is required to attempt treatment-free remission. Asciminib is the only approved BCR::ABL1 inhibitor that Specifically Targets the ABL Myristoyl Pocket. This unique mechanism of action allows asciminib to be combined with adenosine triphosphate–competitive tyrosine kinase inhibitors to prevent resistance and enhance efficacy. The phase II ASC4MORE trial investigated the strategy of adding asciminib to imatinib in patients who have not achieved deep molecular response with imatinib.MethodsIn ASC4MORE, 84 patients with CML in chronic phase not achieving deep molecular response after ≥ 1 year of imatinib therapy were randomized to asciminib 40 or 60 mg once daily (QD) add-on to imatinib 400 mg QD, continued imatinib 400 mg QD, or switch to nilotinib 300 mg twice daily.ResultsMore patients in the asciminib 40- and 60-mg QD add-on arms (19.0% and 28.6%, respectively) achieved MR4.5 (BCR::ABL1 ≤ 0.0032% on the International Scale) at week 48 (primary endpoint) than patients in the continued imatinib (0.0%) and switch to nilotinib (4.8%) arms. Fewer patients discontinued asciminib 40- and 60-mg QD add-on treatment (14.3% and 23.8%, respectively) than imatinib (76.2%, including crossover patients) and nilotinib (47.6%). Asciminib add-on was tolerable, with rates of AEs and AEs leading to discontinuation less than those with nilotinib, although higher than those with continued imatinib (as expected in these patients who had already been tolerating imatinib for ≥ 1 year). No new or worsening safety signals were observed with asciminib add-on vs the known asciminib monotherapy safety profile.ConclusionsOverall, these results support asciminib add-on as a treatment strategy to help patients with CML in chronic phase stay on therapy to safely achieve rapid and deep response, although further investigation is needed before this strategy is incorporated into clinical practice.Trial registrationNCT03578367

A Systematic Review of BIM-Based Life Cycle Sustainability Assessment for Buildings

The construction industry has enormous impacts on the three dimensions of sustainability: environmental, economic, and social. To mitigate these impacts, several researchers have explored a variety of methods that link Building Information Modeling (BIM) with methodologies for a holistic evaluation of sustainability, such as Life Cycle Sustainability Assessment (LCSA). However, the complete integration of BIM-LCSA still remains unresolved, with a series of challenges that must be overcome. Consequently, the aim of this article is to identify the advances and challenges of BIM-LCSA integration focused on buildings through a literature review of the existing solutions presented by researchers worldwide. The PRISMA 2020 protocol is used. A total of 135 articles published between 2010–2023 are reviewed for bibliometric analysis. Furthermore, an exhaustive analysis of the case studies is carried out, by taking into account the structure proposed by ISO 14040. The authors identify a gap in the literature mainly regarding the full integration of the three dimensions with BIM that facilitates a simultaneous on-the-air assessment, in addition to the lack of a standardized LCSA method of calculation.