Entire Lifespan Research Articles

In Situ Construction of a Multifunctional Interphase Enabling Continuous Capture of Unstable Lattice Oxygen Under Ultrahigh Voltages.

The use of nickel-rich layered materials as cathodes can boost the energy density of lithium batteries. However, developing a safe and long-term stable nickel-rich layered cathode is challenging primarily due to the release of lattice oxygen from the cathode during cycling, especially at high voltages, which will cause a series of adverse effects, leading to battery failure and thermal runaway. Surface coating is often considered effective in capturing active oxygen species; however, its process is rather complicated, and it is difficult to maintain intact on the cathode with large volume changes during cycling. Here, we propose an in situ construction of a multifunctional cathode/electrolyte interphase (CEI), which is easy to prepare, repairable, and, most importantly, capable of continuously capturing active oxygen species during the entire life span. This unique protective mechanism notably improves the cycling stability of Li||LiNi0.8Co0.1Mn0.1O2 (NCM811) cells at rigorous working conditions, including ultrahigh voltage (4.8 V), high temperature (60 °C), and fast charging (10 C). An industrial 1 A h graphite||NCM811 pouch cell achieved stable operation of 600 cycles with a capacity retention of 79.6% at 4.4 V, exhibiting great potential for practical use. This work provides insightful guidance for constructing a multifunctional CEI to bypass limitations associated with high-voltage operations of nickel-rich layered cathodes.

Stabilizing Zn/electrolyte Interphasial Chemistry by a Sustained‐release Drug Inspired Indium‐chelated Resin Protective Layer for High‐areal‐capacity Zn//V2O5 Batteries

For zinc‐metal batteries, the instable chemistry at Zn/electrolyte interphasial region results in severe hydrogen evolution reaction (HER) and dendrite growth, significantly impairing Zn anode reversibility. Moreover, an often‐overlooked aspect is this instability can be further exacerbated by the interaction with dissolved cathode species in full batteries. Here, inspired by sustained‐release drug technology, an indium‐chelated resin protective layer (Chelex‐In), incorporating a sustained‐release mechanism for indium, is developed on Zn surface, stabilizing the anode/electrolyte interphase to ensure reversible Zn plating/stripping performance throughout the entire lifespan of Zn//V2O5 batteries. The sustained‐release indium onto Zn electrode promotes a persistent anticatalytic effect against HER and fosters uniform heterogeneous Zn nucleation. Meanwhile, on the electrolyte side, the residual resin matrix with immobilized iminodiacetates anions can also repel H2O and detrimental anions (SO42‐ and polyoxovanadate ions dissolved from V2O5 cathode) outside the electric double layer. This dual synergetic regulation on both electrode and electrolyte sides culminates a more stable interphasial environment, effectively enhancing Zn anode reversibility in practical high‐areal‐capacity full battery systems. Consequently, the bio‐inspired Chelex‐In protective layer enables an ultralong lifespan of Zn anode over 2800 h, which is also successfully demonstrated in ultrahigh areal capacity Zn//V2O5 full batteries (4.89 mAh cm‐2).

Stabilizing Zn/electrolyte Interphasial Chemistry by a Sustained-release Drug Inspired Indium-chelated Resin Protective Layer for High-areal-capacity Zn//V2O5 Batteries.

For zinc-metal batteries, the instable chemistry at Zn/electrolyte interphasial region results in severe hydrogen evolution reaction (HER) and dendrite growth, significantly impairing Zn anode reversibility. Moreover, an often-overlooked aspect is this instability can be further exacerbated by the interaction with dissolved cathode species in full batteries. Here, inspired by sustained-release drug technology, an indium-chelated resin protective layer (Chelex-In), incorporating a sustained-release mechanism for indium, is developed on Zn surface, stabilizing the anode/electrolyte interphase to ensure reversible Zn plating/stripping performance throughout the entire lifespan of Zn//V2O5 batteries. The sustained-release indium onto Zn electrode promotes a persistent anticatalytic effect against HER and fosters uniform heterogeneous Zn nucleation. Meanwhile, on the electrolyte side, the residual resin matrix with immobilized iminodiacetates anions can also repel H2O and detrimental anions (SO42- and polyoxovanadate ions dissolved from V2O5 cathode) outside the electric double layer. This dual synergetic regulation on both electrode and electrolyte sides culminates a more stable interphasial environment, effectively enhancing Zn anode reversibility in practical high-areal-capacity full battery systems. Consequently, the bio-inspired Chelex-In protective layer enables an ultralong lifespan of Zn anode over 2800 h, which is also successfully demonstrated in ultrahigh areal capacity Zn//V2O5 full batteries (4.89 mAh cm-2).

Development and validation of a novel nomogram for predicting long-term rebleeding risk among patients with hemorrhagic moyamoya disease: a 10-year multicenter retrospective cohort study.

The aim of this study was to develop and validate a predictive nomogram model for long-term rebleeding events in patients with hemorrhagic moyamoya disease (HMMD). In total, 554 patients with HMMD from the Fifth Medical Center of the Chinese PLA General Hospital (5-PLAGH cohort) were included and randomly divided into training (390 patients) and internal validation (164 patients) sets. An independent cohort from the First Medical Center and Eighth Medical Center of Chinese PLA General Hospital (the 1-PLAGH and 8-PLAGH cohort) was used for external validation (133 patients). Univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression algorithm were used to identify significant factors associated with rebleeding, which were used to develop a nomogram for predicting 5- and 10-year rebleeding. Intraventricular hemorrhage was the most common type of cerebral hemorrhage (39.0% of patients in the 5-PLAGH cohort and 42.9% of the 1-PLAGH and 8-PLAGH cohort). During the mean ± SD follow-up period of 10.4 ± 2.9 years, 91 (16.4%) patients had rebleeding events in the 5-PLAGH cohort. The rebleeding rates were 12.3% (68 patients) at 5 years and 14.8% (82 patients) at 10 years. Rebleeding events were observed in 72 patients (14.3%) in the encephaloduroarteriosynangiosis (EDAS) surgery group, whereas 19 patients (37.3%) experienced rebleeding events in the conservative treatment group. This difference was statistically significant (p < 0.001). We selected 4 predictors (age at onset, number of episodes of bleeding, posterior circulation involvement, and EDAS surgery) for nomogram development. The concordance index (C-index) values of the nomograms of the training cohort, internal validation cohort, and the external validation cohort were 0.767 (95% CI 0.704-0.830), 0.814 (95% CI 0.694-0.934), and 0.718 (95% CI 0.661-0.775), respectively. The nomogram at 5 years exhibited a sensitivity of 48.1% and specificity of 87.5%. The positive and negative predictive values were 38.2% and 91.3%, respectively. The nomogram at 10 years exhibited a sensitivity of 47.1% and specificity of 89.1%. The positive and negative predictive values were 48.5% and 88.5%, respectively. EDAS may prevent rebleeding events and improve long-term clinical outcomes in patients with HMMD. The nomogram accurately predicted rebleeding events and assisted clinicians in identifying high-risk patients and devising individual treatments. Simultaneously, comprehensive and ongoing monitoring should be implemented for specific patients with HMMD throughout their entire lifespan.

Investigation on the Biology of Helicoverpa armigera (Hubner) on Chickpea under Laboratory Condition

The Helicoverpa armigera (Hubner) is a polyphagous pest that is found throughout the world. Due to its damaging nature, it causes quantitative as well as qualitative loss and finally overalleconomic loss in agricultural crop production. So, the present investigation was done by rearing of H. armigera on chickpeas under laboratory conditions. The study revealed that this pest has four distinct stages i.e., egg, larva, pupa, and adult for completing its life cycle. The total life cycle of males and females were completed in 49-50 days and 52.30-53.00 days, respectively. The wholelife period was divided asthe incubation period takes 4-5 days, larval stage was completed in 20.00-20.50 days by passing through six instars under laboratory conditions at a temperature of 27±10C with 70±5 % relative humidity in 12 hours of light. The last larval instar did not molt and it contracted into a grub-like pre-pupal stage which lasted for 2-3 days and a pupal period of 13-14 days. The adult period of male and female insects was completed in 8.50-9.00 and 12.00-12.50 days, respectively. The female moths had a pre-oviposition period of 3-4 days that included a sexual maturity period. The oviposition and post-oviposition periodsrecorded were 5-6 days and 2 days, respectively. A single female produced on average 992.50-1085 eggs throughout her entire life span. The average hatching percentage of eggs recorded on 63.00-67.50 percent.

Increasing risks of the explosive extratropical cyclones over the North Atlantic storm track: a perspective from their surface wind maxima

Extratropical cyclones play a crucial role in balancing the global momentum, energy, and moisture, and also, they shape the extreme weather events over the extra-tropics. As the strongest category of the extratropical cyclones, the explosive extratropical cyclones (EECs) frequently induce severe disasters through their strong surface winds. During the entire lifespan of an EEC, there is a maximum value of its surface wind (i.e. the maximum surface wind; MSW), which processes the greatest destructive power. After nearly a century of research on the EECs, key features about their MSWs still remain vague. In this study, we systematically investigate the EECs’ MSWs over the North Atlantic storm track (NAST) based on the ERA-Interim reanalysis. It is found that, the average intensity of EECs’ MSWs shows a significant increasing trend of ∼0.3 m s−1 per 10a. More importantly, for the last 20 years, even larger increasing rates of 1.5 m s−1 and 3.5 m s−1 per 10a are found in the average and maximum intensities of the EECs’ MSWs, respectively, implying the EECs’ risks increase notably for the NAST. We further clarify the physical mechanisms governing the production of EECs’ MSWs, and then establish a mechanism-based statistical model, which has the potential to predict the MSWs’ annual average intensity. In summary, our study fills a knowledge gap for the EECs’ MSWs, which would have broad implication of the economics and society.

272 Integrative Genomics Implicates Primary Impact on Cortical Development in Spina Bifida

INTRODUCTION: Spina bifida is one of the most common malformation of the central nervous system that is associated with poor neurodevelopmental outcomes. Altered neurodevelopment in spina bifida has been attributed to venting of CSF through the neural tube defect. Despite correction of the spinal defect, some patients still develop hydrocephalus with poor neurodevelopmental outcomes, suggesting incomplete understanding of disease pathogenesis. Recent human genetic efforts have identified candidate genes that confer spina bifida risk, however, the mechanisms linking gene mutations to altered neurodevelopment remain poorly understood. METHODS: We curated a list of 439 genes that confer risk to spina bifida from a whole-genome sequencing study of 310 individuals. We then mapped the spatiotemporal and cell-type specific expression of these risk genes onto bulk and single-cell RNA sequencing data of normally developing human brains covering the entire lifespan of human development. RESULTS: We found that spina bifida risk genes are enriched at post-conception weeks 5-6 and 25-38 in the developing human brain. After birth, spina bifida risk genes are enriched at postnatal months 6-10 and then after 60 years of age. At the cell type level, spina bifida risk genes are enriched in proliferative neuroprogenitor cells and microglia in the prenatal human cortex. CONCLUSIONS: Our analyses show that spina bifida risk genes are expressed in the developing human brain, suggesting a primary impact on brain development that is independent from the open caudal end of the neural tube defect. The finding that spina bifida risk genes continue to be expressed postnatally suggests a window for therapeutic intervention to optimize neurodevelopmental outcomes after birth in at least a subset of patients.

Assessment of cavitation erosion on an asymmetric hydrofoil based on energy conversion via a multiscale approach

Cavitation erosion is a long-standing issue, which plays a pivotal role in the material damage of much hydraulic machinery. However, despite abundant numerical research on cavitation erosion assessment, bubble dynamics has been commonly overlooked. Consequently, we develop an improved cavitation erosion model based on energy conversion and assess an ALE15 hydrofoil surface by its incorporation into a multiscale approach. Our erosion model stands out in considering the bubble behaviors throughout its entire lifespan to eliminate the influence of bubble oscillation on cavitation erosion. Using the bubble information in the well reproduced cavitating flow, we evaluate both the cumulative and instantaneous cavitation erosion, and the results show satisfactory agreement with the experimental pattern. Our findings demonstrate that frequent vapor-liquid alternations, induced by the collaborative effects of upstream pressure gradients and main flow, increase the potential for erosion risk at the hydrofoil leading edge. Downstream erosion primarily results from secondary shedding and the collapse of U-shaped cavities’ legs. By contrast, the acoustic energy emitted by the shedding cavities traveling farther and upwards away from the hydrofoil leads to negligible erosion on the surface.

Opening the black box of the use phase in circular economy life cycle assessments: Environmental performance of shell jacket reuse

AbstractLife cycle assessment (LCA) is highly needed and widely used to assess the environmental performance of circular economy (CE) measures such as reusing and sharing. However, the results of such LCAs are hampered by limited knowledge about the use phase of consumer products and oversimplification of important use phase aspects such as product functionality, user behavior, displacement, and rebound effects. This paper aims to validate the usefulness of a framework designed to assist practitioners in the generation and utilization of such knowledge in LCAs of circular measures. To validate the framework, a case study is used: reuse of shell jackets enabled by “premium secondhand” stores for outdoor equipment and clothing. The paper demonstrates that conclusions about the environmental performance of reuse can easily be altered depending on the functional unit definition, whether real user behavior data are used, and whether imperfect displacement and rebound effects are considered. For instance, shell jacket life cycles that include reuse and thus may be labeled “circular” have significantly higher environmental impact per use occasion than “linear” ones (used by one principal user the entire lifespan), since “circular” shell jackets are used less frequently, in particular during their first use span. Through facilitating the generation and utilization of environmentally relevant use phase data, which are otherwise often overlooked, the framework seems capable of supporting a better understanding of the environmental performance of CE measures.

Punah Avirbhav: Innovative Designs Give New Life to Recycled/upcycled/discarded Materials

The seed of the idea for the writing of this research article was planted in an innovative activity As part of Swachhata Hi Seva (SHS) and Special Campaign 3.0, NID AP, Inspired by the "Swachhata hi Seva" campaign's call to action, this research article explores the transformative potential of recycled and discarded materials in innovative design. We delve into the world of designers who are breathing new life into waste, crafting furniture from mushrooms and architecture from reclaimed plastic. These creations showcase not only beauty and functionality but also a path towards a more sustainable future. This paper goes beyond aesthetics, examining the possibilities of life cycle assessment (LCA) in quantifying the environmental impact of using recycled materials. By analyzing the entire lifespan of a product, from its creation from waste to its eventual disposal, LCA empowers designers to make informed choices that minimize environmental footprint. This research highlights the potential of innovative design, coupled with LCA, to significantly reduce landfill waste, lower energy consumption, and ultimately, create a more responsible and sustainable future.

Abstract 7115: Mutational signatures in PDXs for improved understanding of drug response and companion biomarkers identification

Abstract Genomic DNA editing is a continuous process that occurs during the entire cell life span. The type and frequency of these modifications can be related to the physiological or pathological activity of intrinsic mechanisms such as DNA surveillance and repair or to extrinsic events that may induce an alteration of DNA sequence by exposure to agents that directly or indirectly induce accumulations of DNA alterations. In the past few years, large-scale analyses have revealed mutational signatures across human cancer types. These signatures can be used as markers of defective internal processes, such as DNA repair deficiency, or external exposures, such as carcinogens, like tobacco, or genotoxic therapies such as radiation and chemotherapy. Our TumorGraft platform, a collection of 1500 patient-derived xenograft generated from more than 50 different types of cancer, is one of the most comprehensive preclinical oncology platforms worldwide, and aims to recapitulate the variety of the patient population and tumor biology complexity. This platform is currently used to evaluate the efficacy of new drugs, and all our models are very well characterized at the molecular level, including whole transcriptome, proteomics and phospho-proteomics, quantification, and genomic variation calls. This allows accurate selection of models with the molecular characteristics of the target patient population, as well as to identify biomarkers predictive of treatment efficacy. This could eventually lead to the development of companion biomarkers in the clinical setting to improve the identification of patients that will benefit from the treatment and those that should be spared. To maximize the chances of identifying relevant molecular traits associated with tumor response, we have been utilizing the Pharmaco-Pheno-Multiomic (PPMO) integration workflow, a machine learning approach which combines phenotypic and therapeutic response profiles with multiple omics datatypes to generate complex biomarker profiles. To provide additional insights on the molecular characteristics of our tumors, we decided to perform the mutational signatures profiling of our models by using whole exome sequencing data. The results obtained were crossed with patient’s clinical history and showed good correlation between the mutational signatures identified and the treatments received by the patient, in particular for exposure to platinum salts. The addition of PDXs mutational signatures strongly improves our knowledge on these models and confers an important parameter for model selection. Moreover, the integration of mutational signature profiles in the PPMO workflow would make a significant contribution for companion biomarkers identification. Citation Format: Haia Khoury, Stefano Cairo, Mara Gilardi, Michael Ritchie, Gilad Silberberg. Mutational signatures in PDXs for improved understanding of drug response and companion biomarkers identification [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7115.

Occlusal force orchestrates alveolar bone homeostasis via Piezo1 in female mice.

Healthy alveolar bone is the cornerstone of oral function and oral treatment. Alveolar bone is highly dynamic during the entire lifespan and is affected by both systemic and local factors. Importantly, alveolar bone is subjected to unique occlusal force in daily life, and mechanical force is a powerful trigger of bone remodeling, but the effect of occlusal force in maintaining alveolar bone mass remains ambiguous. In this study, the Piezo1 channel is identified as an occlusal force sensor. Activation of Piezo1 rescues alveolar bone loss caused by a loss of occlusal force. Moreover, we identify Piezo1 as the mediator of occlusal force in osteoblasts, maintaining alveolar bone homeostasis by directly promoting osteogenesis and by sequentially regulating catabolic metabolism through Fas ligand (FasL)-induced osteoclastic apoptosis. Interestingly, Piezo1 activation also exhibits remarkable efficacy in the treatment of alveolar bone osteoporosis caused by estrogen deficiency, which is highly prevalent among middle-aged and elderly women. Promisingly, Piezo1 may serve not only as a treatment target for occlusal force loss-induced alveolar bone loss but also as a potential target for metabolic bone loss, especially in older patients.

Can personality disorder be accurately assessed in older age? A differential item functioning analysis of ICD-11 inventories.

The contested categorical personality disorder (PD) criteria are not well suited to inform PD diagnoses in older adults. Yet, the classification of PDs is undergoing a critical transition phase with a paradigm shift to a dimensional approach for diagnosing PDs. No special attention was given to the expression of PDs in older age when the dimensional ICD-11 model was developed. Given that PDs are highly prevalent in older adults, there is an urgent need to examine if ICD-11 related instruments are able to adequately assess for PDs in older adults. The age-neutrality of ICD-11 measures was examined in a sample of 208 Dutch community-dwelling adults (N=208, M age=54.96, SD=21.65), matched on sex into 104 younger (age range 18-64) and 104 older (age range 65-93) adults. An instrument is considered not to be age-neutral if a collective large level of differential item functioning (DIF) exists in a group of items of an instrument (i.e., 25% or more with DIF). We therefore set out to detect possible DIF in the following ICD-11 self-report measures: the Standardized Assessment of Severity of Personality Disorder (SASPD), the Personality Inventory for ICD-11 (PiCD), and the Borderline Pattern Scale (BPS). DIF analyses using a non-parametric odds ratio approach demonstrated that SASPD, PiCD, and BPS were age-neutral with less than 25% of items showing DIF. Yet, impact of DIF at scale level, examined by way of differential test functioning (DTF), indicated a DTF effect on the SASPD total score. These results of age-neutrality of the PiCD and BPS are promising for measuring ICD-11 traits and the borderline pattern. Yet, the age-neutral measurement of PD severity requires further research. With a rapidly aging population, its accurate assessment across the entire adult life span, including older age, is a prerequisite for an adequate detection of PDs.

Stock Price Prediction Using Machine Learning Models: A Study of NSE Stocks

Abstract: This paper presents a study on stock price prediction utilizing the ARIMA and Linear Regression algorithms, focusing on companies listed on the National Stock Exchange (NSE) of India. The aim is to compare the predictive accuracies of these models while considering the lifetime data of stocks obtained through the Yahoo Finance API. Through comprehensive analysis, historical stock data spanning the entire lifespan of the stocks is utilized, enabling a thorough exploration of long-term trends and patterns. It was inferred that for NSE (Indian Company) stocks and Linear Regression prove to be more efficient than ARIMA. The research methodology involves data retrieval, preprocessing, and model training, with Python being the primary programming language for implementation. Findings indicate the effectiveness of ARIMA and Linear Regression models in forecasting NSE stock prices, with implications for financial decision-making and investment strategies. This study contributes to the understanding of machine learning applications in the stock market domain, emphasizing the importance of leveraging comprehensive historical data for enhanced predictive performance.

Cost-effectiveness of mepolizumab for severe eosinophilic asthma in China

Objective To evaluate the economic value of mepolizumab as an add-on therapy to the standard of care (SoC) for patients with severe eosinophilic asthma in China. Methods A Markov model with three health conditions was constructed to calculate the incremental cost per quality-adjusted life year (QALY) in mepolizumab with SoC and SoC only groups from the perspective of the Chinese healthcare system throughout an entire lifespan. The model was populated with local costs, while efficacy parameters were obtained from the global Phase III MENSA trial and mortality was derived from two surveys. One-way and probabilistic sensitivity analyses were conducted. Additional scenario analysis was used to estimate the cost-effectiveness impact of changes in the price of mepolizumab. Results Over the lifetime treatment horizon, the incremental cost-effectiveness ratio (ICER) of mepolizumab plus SoC compared to SoC alone was $170 648.73 per QALY. Sensitivity analyses focused on these results. Scenario analysis showed that mepolizumab would require a price reduction of at least 82% to reach the current willingness-to-pay (WTP=$38 223.34/QALY) threshold. Conclusion Mepolizumab is not a cost-effective healthcare resource in China at its current pricing.

Staging of progressive supranuclear palsy-Richardson syndrome using MRI brain charts for the human lifespan.

Brain charts for the human lifespan have been recently proposed to build dynamic models of brain anatomy in normal aging and various neurological conditions. They offer new possibilities to quantify neuroanatomical changes from preclinical stages to death, where longitudinal MRI data are not available. In this study, we used brain charts to model the progression of brain atrophy in progressive supranuclear palsy-Richardson syndrome. We combined multiple datasets (n = 8170 quality controlled MRI of healthy subjects from 22 cohorts covering the entire lifespan, and n = 62 MRI of progressive supranuclear palsy-Richardson syndrome patients from the Four Repeat Tauopathy Neuroimaging Initiative (4RTNI)) to extrapolate lifetime volumetric models of healthy and progressive supranuclear palsy-Richardson syndrome brain structures. We then mapped in time and space the sequential divergence between healthy and progressive supranuclear palsy-Richardson syndrome charts. We found six major consecutive stages of atrophy progression: (i) ventral diencephalon (including subthalamic nuclei, substantia nigra, and red nuclei), (ii) pallidum, (iii) brainstem, striatum and amygdala, (iv) thalamus, (v) frontal lobe, and (vi) occipital lobe. The three structures with the most severe atrophy over time were the thalamus, followed by the pallidum and the brainstem. These results match the neuropathological staging of tauopathy progression in progressive supranuclear palsy-Richardson syndrome, where the pathology is supposed to start in the pallido-nigro-luysian system and spreads rostrally via the striatum and the amygdala to the cerebral cortex, and caudally to the brainstem. This study supports the use of brain charts for the human lifespan to study the progression of neurodegenerative diseases, especially in the absence of specific biomarkers as in PSP.

Population-level responses of aphids to pulsed drought stress

AbstractThe first aim of this study was to test the pulsed stress hypothesis on a system consisting of young spring wheat (Triticum aestivum L.) and the rose-grain aphid Metopolophium dirhodum (Walker) by following the age-stage, two-sex life table theory. This hypothesis predicts that fluid-feeding insects benefit from feeding on plants intermittently stressed by drought due to the increased nutrient availability and restored cell turgor. Our second aim was to illustrate the risk of drawing different conclusions if based on a single or a small subset of parameters or if the entire lifespan of a generation is not covered compared to if the study was conducted at the population level. We applied periods of drought stress (soil water capacity, SWC = 40%) on four occasions relative to the population development of the aphids and compared those treatments with well-watered (SWC = 70%) and continuous stress conditions (SWC = 40%). The timing of the stresses appeared to be important in determining the effect on aphid performance. Although we found some improvement in fecundity when the stress occurred before the aphids were placed on the plants, the overall effect of the early-timed pulsed stress treatments on the rate of increase was negative compared to the well-watered control, which was mainly due to prolonged nymph development. The drought pulse that was timed late (the second week of aphid reproduction) did not show any effect relative to the well-watered control. This study therefore provides no clear support for the validity of the pulsed stress hypothesis.

Exploring Thermal Barrier and Sedimentation Simulation for Enhanced Performance in Grati Combined Cycle Power Plant

PLTGU is a power generation facility that concurrently utilizes both steam and gas power plant technologies. It necessitates a cooling system to operate efficiently throughout its entire lifespan. If PLTGU Grati plans to increase its power capacity, there is a concern that the water discharged from the Water Outlet channel might not cool down sufficiently before re-entering the Water Intake channel. Additionally, sedimentation in the sea water uptake is causing siltation. Hence, this study focuses on the jetty extension project to address sedimentation and hot water spreading issues in PLTGU Grati. The numerical modeling analysis, conducted using the Delft3D software, indicates that in the case of power addition, Alternative Model 1 can reduce the highest temperature compared to the existing condition by 0.655°C. Similarly, Alternative Model 2 reduces the highest temperature by 0.090°C. Moreover, with power addition, sedimentation rate in Area 1 increases by 261.43 m3/month in Alternative Model 1, while in Alternative Model 2, it decreases by 969.47 m3/month compared to the existing condition. Considering the ability of Alternative Model 2 to effectively reduce the temperature in the inlet canals by 0.090°C, it provides the best solution to contain the spread of hot water in the PLTGU Grati area. Currently, PLTGU Grati employs a Cutter Suction Dredger (CSD) to periodically dredge the water inlet channel. Therefore, Alternative Model 2 is recommended as the optimal choice among the alternatives. Henceforth, detailed studies related to current patterns and sedimentation rates are presented comprehensively in this paper.

Combinatory glycoengineering of monoclonal antibodies and its application in cancer therapy: a narrative review.

The application of immunotherapy, especially in terms of recombinant monoclonal antibodies (mAbs), is a revolution in the pharmaceutical industry field. Glycosylation plays an essential role in the structures and functions of mAbs, which must be carefully monitored and designed throughout their entire lifespan to ensure safety and efficacy. This review aimed to summarize the current status of the glycoengineering of mAbs for providing reference for the pharmaceutical industry. The application of glycoengineering of mAbs in cancer therapy will also be discussed in this article. We searched the PubMed/MEDLINE database to identify studies published between 1970 and 2023 that investigated glycoengineering of recombinant mAbs and its applications. The major findings of these studies were summarized. This article reviews the relationship between glycosylation profiles and antibody-dependent cell-mediated cytotoxicity (ADCC), complement-dependent cytotoxicity (CDC), shelf-life, and other properties of mAbs. Furthermore, the rational design of glycosylation profiles provides solutions to the unmet needs of new drug development and biosimilar manufacturers. This review also emphatically describes various feasible strategies to optimize the glycosylation pattern in biomanufacturing reported in recent years, especially the approaches of combinatory glycoengineering explored in this field. Finally, we share examples of glycoengineering of mAbs applied in cancer therapy. Glycan modifications have been achieved through genetic and metabolic glycoengineering. A better understanding of the interplay between cells and the exogenous environment help the combinatorial strategy for glycoengineering in precise control mode. Furthermore, new high-tech approaches for glycoengineering are leading biological engineering and biotherapeutics to a new stage.

The Role of BIM in Managing Risks in Sustainability of Bridge Projects: A Systematic Review with Meta-Analysis

With the significant and rapid growth observed in bridge projects worldwide, the associated environmental, economic, and social concerns are on the rise. A systematic review of bridge sustainability with meta-analysis according to the PRISMA guidelines was performed, aiming to improve understanding of the importance of using building information modeling (BIM) in bridge projects by investigating the role of proper implementation of this technology to avoid and mitigate risks and improve sustainability. The relevant international literature was collected and scrutinized. The findings demonstrated that the accurate implementation of BIM significantly enhances the efficient management of risks in bridge projects. Consequently, this has a positive effect on improving the three essential (environmental, economic, and social) aspects of sustainability. The impact mentioned is especially apparent in enhancing the management of information throughout the entire lifespan of a bridge. This, in turn, facilitates precise decision-making during the design phase, aligns with assessments of environmental impact, enables real-time monitoring during execution, effectively manages the maintenance of the structure, facilitates efficient allocation and utilization of resources, and improves design practices by providing designers with accurate information. Delving into the nuances of this review has shed light on the transformative potential of BIM in shaping sustainable bridge projects, laying the groundwork for future advancements in this critical field.