Synergistic Association Research Articles

Abstract 4136996: Co-morbid Insomnia and Obstructive Sleep Apnea (COMISA) are Related to Incident Hypertension in a 20-Year Retrospective Cohort Study of 1.3 million Younger Men and Women Veterans: Associations by Sex

Introduction: Insomnia and obstructive sleep apnea (OSA) each increase risk for hypertension (HTN). Among older adults, there is a negative synergistic association of comorbid insomnia and OSA (i.e., COMISA) on incident cardiovascular disease (CVD) but it is unknown if this comorbidity is associated with HTN risk earlier in the lifespan. Research Questions: 1) Is COMISA associated with incident HTN among younger adults? 2) Do COMISA-HTN associations differ by sex? Hypotheses: We hypothesized that 1) COMISA would be associated with a greater risk of HTN than having no sleep disorder, 2) the hazard would be larger than for insomnia and OSA alone, and 3) distinct COMISA-HTN associations would be observed among men and women, respectively. Methods: Analyses included Veterans who enrolled in Veterans Health Administration (VA) care 2001-2021, a group selected because of its early adult age distribution. We merged administrative data, including outpatient and inpatient encounters, diagnoses, (ICD-9-CM/10 codes/dates) and pharmacy records. Veterans without demographic data, a history of other sleep disorders or CVD, or <2 clinical encounters were excluded. Sleep disorders were defined by 1 inpatient or ≥2 outpatient encounters. HTN was defined by 1 inpatient or ≥2 outpatient encounters and/or ≥1 antihypertensive medication fill. Time-varying Cox proportional hazard models were adjusted for sociodemographic, behavioral/lifestyle, and clinical factors, and stratified analyses by sex. We used multiple imputation to address missing data. Results: Analyses included 1,293,165 Veterans (12% women; mean age 32.8) with an average follow-up of 7.6 years. Men with COMISA showed a 19% greater risk of HTN vs. no sleep diagnosis (95% CL: 1.17-1.20). Risks were slightly lower – but still significant – for men with only insomnia (HR:1.08 [95% CL: 1.06-1.09]) or only OSA (HR:1.15 [95% CL: 1.13-1.16]). Women with COMISA had a 21% greater risk of HTN vs. those without a sleep diagnosis (95% CL: 1.16-1.26), and those with insomnia (HR:1.15 [95% CL: 1.11-1.19]) or OSA (HR:1.13 [95% CL: 1.09-1.17]) showed a lower, though still significant risk. Conclusion: In this younger group, Veterans with COMISA had a 19-21% greater risk of HTN than without a disorder, and this risk was similar by sex and slightly higher than that attributable to insomnia or OSA alone. Increased identification of disordered sleep among younger adults should be a cardiovascular prevention priority.

Efficient Search Algorithms for Identifying Synergistic Associations in High-Dimensional Datasets

In recent years, there has been a notably increased interest in the study of multivariate interactions and emergent higher-order dependencies. This is particularly evident in the context of identifying synergistic sets, which are defined as combinations of elements whose joint interactions result in the emergence of information that is not present in any individual subset of those elements. The scalability of frameworks such as partial information decomposition (PID) and those based on multivariate extensions of mutual information, such as O-information, is limited by combinational explosion in the number of sets that must be assessed. In order to address these challenges, we propose a novel approach that utilises stochastic search strategies in order to identify synergistic triplets within datasets. Furthermore, the methodology is extensible to larger sets and various synergy measures. By employing stochastic search, our approach circumvents the constraints of exhaustive enumeration, offering a scalable and efficient means to uncover intricate dependencies. The flexibility of our method is illustrated through its application to two epidemiological datasets: The Young Finns Study and the UK Biobank Nuclear Magnetic Resonance (NMR) data. Additionally, we present a heuristic for reducing the number of synergistic sets to analyse in large datasets by excluding sets with overlapping information. We also illustrate the risks of performing a feature selection before assessing synergistic information in the system.

Synergistic association of Aβ and tau pathology with cortical neurophysiology and cognitive decline in asymptomatic older adults.

Animal and computational models of Alzheimer's disease (AD) indicate that early amyloid-β (Aβ) deposits drive neurons into a hyperactive regime, and that subsequent tau depositions manifest an opposite, suppressive effect as behavioral deficits emerge. Here we report analogous changes in macroscopic oscillatory neurophysiology in the human brain. We used positron emission tomography and task-free magnetoencephalography to test the effects of Aβ and tau deposition on cortical neurophysiology in 104 cognitively unimpaired older adults with a family history of sporadic AD. In these asymptomatic individuals, we found that Aβ depositions colocalize with accelerated neurophysiological activity. In those also presenting medial-temporal tau pathology, linear mixed effects of Aβ and tau depositions indicate a shift toward slower neurophysiological activity, which was also linked to cognitive decline. We conclude that early Aβ and tau depositions relate synergistically to human cortical neurophysiology and subsequent cognitive decline. Our findings provide insight into the multifaceted neurophysiological mechanisms engaged in the preclinical phases of AD.

Synergistic associations of CD33 variants and hypertension with brain and cognitive aging among dementia-free older adults: A population-based study.

CD33 rs3865444 and hypertension (HTN) are related to cognitive impairment, individually. However, little is known about their combined effects on cognitive function in older adults. This population-based study included 4368 dementia-free participants (age ≥65 years) in the Multimodal Interventions to Delay Dementia and Disability in Rural China (MIND-China), with data available in 1044 persons for gray matter volume and 85 persons for cerebral blood flow (CBF). We used general linear regression and mediation models to examine the associations of rs3865444 and HTN with cognition, brain atrophy, and CBF. Among rs3865444 CC carriers, HTN and late-life HTN were significantly associated with impaired cognition. Midlife and late-life HTN were correlated with brain atrophy. CD33 rs3865444 CC moderated the mediation effect of gray matter volume on the association between HTN and global cognition. HTN was correlated with low CBF in rs3865444 CC carriers. There are synergistic associations of CD33 rs3865444 and HTN with brain and cognitive aging in dementia-free older adults.

Facile supramolecular processing of recyclable adaptive polymer composites for highly reproducible sensory materials

Dynamic polymer networks (DPNs), when cross-linked, can display chemical and physical adaptiveness due to their dynamic connections and associated phase transitions. However, the reliable preparation of these conductive composites and achieving consistent performance through recycling remain challenging, primarily due to a lack of systematic approaches. Herein, we describe synergistic association of supramolecular gel and high density dynamic crosslinking using vinylogous urethane (VU) bond that enable highly reliable sensitivity and reproducibility after recycling to high performance adaptive dynamic polymer networks containing conductive fillers. We introduce a straightforward method to create DPNs-single-walled carbon nanotube (SWCNT) composites. This involves facile grinding a random copolymer in a supramolecular eutectic liquid, resulting in a supramolecular gel. Subsequently, dynamic cross-linking is applied. The resulting dynamic polymer-SWCNT (DPC) composites, incorporating a supramolecular gel, demonstrate adjustable electrical conductivity and high sensitivities to various mechanical motions and irradiations, including specific light and heat. Significantly, the DPC exhibits excellent recyclability, along with enhanced reproducibility and sensitivity as a strain sensor compared to other recyclable sensors. Furthermore, we establish a strong correlation between the sensitivity and stiffness of the DPC composite with dynamic cross-linking density. These findings highlight the promising potential of adaptive gel-based processing of DPNs for highly sensitive, recyclable sensory materials with excellent reproducibility.

Synergistic association of sodium-glucose cotransporter-2 inhibitor and metformin on liver and non-liver complications in patients with type 2 diabetes mellitus and metabolic dysfunction-associated steatotic liver disease

ObjectiveType 2 diabetes mellitus and metabolic dysfunction-associated steatotic liver disease (diabetic MASLD) frequently coexist and worsen liver and non-liver outcomes, but effective pharmacological therapies are limited. We aimed to evaluate...

Stress and Sleep Duration in Immune and Neuroendocrine Patterning. An Analytical Triangulation in ELSA.

Proinflammatory and neuroendocrine mediators are implicated in disease aetiopathogenesis. Stress increases concentrations of immune-neuroendocrine biomarkers through a complex network of brain-body signalling pathways. Suboptimal sleep further modulates these processes by altering major effector systems that sensitise the brain to stress. Given the ubiquitous, impactful nature of material deprivation, we tested for a synergistic association of financial stress and suboptimal sleep with these molecular processes. With data drawn from the English Longitudinal Study of Ageing (ELSA), associations were tested on 4,940 participants (~66±9.4 years) across four-years (2008-2012). Through analytical triangulation, we tested whether financial stress (>60% insufficient resources) and suboptimal sleep (≤5/≥9 hours) were independently and interactively associated with immune-neuroendocrine profiles, derived from a latent profile analysis (LPA) of C-reactive protein, fibrinogen, white blood cell counts, hair cortisol, and insulin-like growth factor-1. A three-class LPA model offered the greatest parsimony. After adjustment for genetic predisposition, sociodemographics, lifestyle, and health, financial stress was associated with short-sleep cross-sectionally (RRR=1.45; 95%CI=1.18-1.79; p<0.001) and longitudinally (RRR=1.31; 95%CI=1.02-1.68; p=0.035), and it increased risk of belonging to the high-risk biomarker profile by 42% (95%CI=1.12-1.80; p=0.004). Suboptimal sleep was not related to future risk of high-risk profile membership, nor did it moderate financial stress-biomarker profile associations. Results advance psychoneuroimmunological knowledge by revealing how immune-neuroendocrine markers cluster in older cohorts and respond to financial stress over time. Financial stress associations with short-sleep are supported. The null role of suboptimal sleep, as exposure and mediator, in profile membership, provides valuable insight into the dynamic role of sleep in immune-neuroendocrine processes.

Fabrication of enhanced electrochemical AlBiO3/g-CN nanocomposite electrode material via hydrothermal approach for supercapacitor applications

The fundamental discrepancy in energy produced from renewable sources indicates that there is a persistent mismatch between the supply and demand of energy. Researching and developing appropriate materials for employing energy-storing devices is an efficient approach to resolving this recurring issue. Using a hydrothermal preparation technique, AlBiO3 and AlBiO3/g-CN nanocomposites are produced in this work. Galvanostatic charge/discharge (GCD) analysis at 1 A g−1 were used to determine the specific capacitance (Cs) value for AlBiO3 and AlBiO3/g-CN which were 888 and 1508 F g−1, respectively. Over 10000th cycles, the AlBiO3 and AlBiO3/g-CN showed outstanding performance and outstanding cycling stability. The synergistic association between AlBiO3 and g-CN generated higher specific surface area (SSA) and extra active spots for higher charge transfer with less impedance. The outcomes of the electrochemical investigation exposed that the AlBiO3/g-CN composites architecture performed more effectively than the AlBiO3, suggesting that it is useful structure for energy-storage devices. Further, symmetric investigation was also confirmed that AlBiO3/g-CN nanocomposite promising electrode material for practical application.

Oxyresveratrol in Breast Cancer Cells: Synergistic Effect with Chemotherapeutics Doxorubicin or Melphalan on Proliferation, Cell Cycle Arrest, and Cell Death.

Breast cancer is the second most common type of cancer in the world. Polyphenols can act at all stages of carcinogenesis and oxyresveratrol (OXY) promising anticancer properties, mainly associated with chemotherapy drugs. The aim of this study was to investigate the effect of OXY with doxorubicin (DOX) or melphalan (MEL), either isolated or associated, in MCF-7 and MDA-MB-231 breast cancer cells. Our results showed that OXY, DOX, and MEL presented cytotoxicity, in addition to altering cell morphology. The synergistic association of OXY + DOX and OXY + MEL reduced the cell viability in a dose-dependent manner. The OXY, DOX, or MEL and associations were able to alter the ROS production, ∆Ψm, and cell cycle; DOX and OXY + DOX led the cells to necrosis. Furthermore, OXY and OXY + MEL were able to lead the cells to apoptosis and upregulate caspases-3, -7, -8, and -9 in both cells. LC-HRMS showed that 7-deoxidoxorubicinone and doxorubicinol, responsible for the cardiotoxic effect, were not identified in cells treated with the OXY + DOX association. In summary, our results demonstrate for the first time the synergistic effect of OXY with chemotherapeutic agents in breast cancer cells, offering a new strategy for future animal studies.

Human awareness and behavior on the driving of sustainable city environment

As urbanization accelerates and population density & activities increase, the conflict between humans and urban environmental issues becomes prominent. The demand for urban environmental protection involving broad participation of human (e.g., citizens) is rising. Media play a key role in promoting environmental protection awareness and behaviors of citizens. However, there is still a disconnect between media information and citizens' awareness and behaviors, of which the synergistic associations have not been analyzed. This study synthetically explored the coupling relationship between media channels (including traditional & digital media) and environmental protection awareness & behaviors of citizens in Chinese cities through the questionnaire survey. Although the usage rate of traditional media was approximately 50% of that of digital media, traditional media had a significantly greater impact on bridging the gaps between environmental protection awareness and behaviors. Among citizens using the digital media, 60% exhibited weak awareness (e.g., concern level, risk awareness, anxious psychology and cognitive level) and behavior motivation (including recycling, low-carbon living, and public welfare) regarding environmental protection. Improvement measures were further proposed, including strengthening top-level government design, leveraging advanced digital technology, and providing more incentives to citizens. Our findings can contribute to human-driven urban environmental protection and the sustainable development of society.

Evaluation of Strategies to Enhance Community-Based Naloxone Distribution Supported by an Opioid Settlement

Many US states are substantially increasing community-based naloxone distribution, supported in part through settlements from opioid manufacturers and distributors. To evaluate the potential impact of increased naloxone availability on opioid overdose deaths (OODs) and explore strategies to enhance this impact by integrating interventions to address solitary drug use. This decision analytical modeling study used PROFOUND (Prevention and Rescue of Fentanyl and Other Opioid Overdoses Using Optimized Naloxone Distribution Strategies), a previously published simulation model, to forecast annual OODs between January 2023 and December 2025. The simulated study population included individuals from Rhode Island who misused opioids and stimulants and were at risk for opioid overdose. The study modeled expanded naloxone distribution supported by the state's opioid settlement (50 000 naloxone nasal spray kits each year). Two approaches to expanding naloxone distribution were evaluated: one based on historical spatial patterns of naloxone distribution (supply-based approach) and one based on the spatial distribution of individuals at risk (demand-based approach). In addition, hypothetical interventions to enhance the likelihood of witnessed overdoses in private or semiprivate settings were considered. Annual number of OODs and ratio of fatal to nonfatal opioid overdoses. Modeling results indicated that distributing more naloxone supported by the state's opioid settlement could reduce OODs by 6.3% (95% simulation interval [SI], 0.3%-13.7%) and 8.8% (95% SI, 1.8%-17.5%) in 2025 with the supply-based and demand-based approaches, respectively. However, increasing witnessed overdoses by 20% to 60% demonstrated greater potential for reducing OODs, ranging from 8.5% (95% SI, 0.0%-20.3%) to 24.1% (95% SI, 8.6%-39.3%). Notably, synergistic associations were observed when combining both interventions: increased naloxone distribution with the 2 approaches and a 60% increase in witnessed overdoses could reduce OODs in 2025 by 33.5% (95% SI, 17.1%-50.4%) and 37.4% (95% SI, 19.6%-56.3%), respectively. These findings suggest that interventions to address solitary drug use are needed to maximize the impact of continued efforts to increase community-based naloxone distribution, which may be particularly important for jurisdictions that have strong community-based naloxone distribution programs.

Modulating protein unfolding and refolding via the synergistic association of an anionic and a nonionic surfactant

HypothesisNonionic surfactants can counter the deleterious effect that anionic surfactants have on proteins, where the folded states are retrieved from a previously unfolded state. However, further studies are required to refine our understanding of the underlying mechanism of the refolding process. While interactions between nonionic surfactants and tightly folded proteins are not anticipated, we hypothesized that intermediate stages of surfactant-induced unfolding could define new interaction mechanisms by which nonionic surfactants can further alter protein conformation. ExperimentsIn this work, the behavior of three model proteins (human growth hormone, bovine serum albumin, and β-lactoglobulin) was investigated in the presence of the anionic surfactant sodium dodecylsulfate, the nonionic surfactant β-dodecylmaltoside, and mixtures of both surfactants. The transitions occurring to the proteins were determined using intrinsic fluorescence spectroscopy and far-UV circular dichroism. Based on these results, we developed a detailed interaction model for human growth hormone. Using nuclear magnetic resonance and contrast-variation small-angle neutron scattering, we studied the amino acid environment and the conformational state of the protein. FindingsThe results demonstrate the key role of surfactant cooperation in defining the conformational state of the proteins, which can shift away or toward the folded state depending on the nonionic-to-ionic surfactant ratio. Dodecylmaltoside, initially a non-interacting surfactant, can unexpectedly associate with sodium dodecylsulfate-unfolded proteins to further impact their conformation at low nonionic-to-ionic surfactant ratio. When this ratio increases, the protein begins to retrieve the folded state. However, the native conformation cannot be fully recovered due to remnant surfactant molecules still adsorbed to the protein. This study demonstrates that the conformational landscape of the protein depends on a delicate interplay between the surfactants, ultimately controlled by the ratio between them, resulting in unpredictable changes in the protein conformation.

The Neutrophil to Lymphocyte Ratio Modifies Lipoprotein (a)-Related Poor Prognosis in Patients After Percutaneous Coronary Intervention.

Lipoprotein (a) [Lp(a)] could contribute to coronary artery disease (CAD) through proinflammatory effects. The neutrophil to lymphocyte ratio (NLR) is an inflammatory biomarker. We consecutively enrolled 7,922 CAD patients to investigate the synergistic association of Lp(a) and NLR with prognosis in patients undergoing percutaneous coronary intervention (PCI). NLR was calculated as the neutrophil count divided by the lymphocyte count. Cutoff for NLR was a median of 2.07. The threshold value was set at 30mg/dL for Lp(a). The primary endpoint was major adverse cardiac events (MACEs), including all-cause mortality and myocardial infarction. During 2 years follow-up, 111 (1.40%) MACEs occurred. Lp(a) > 30mg/dL was associated with an increased MACE risk in participants with NLR ≥2.07 [adjusted hazard ratio (HR), 1.84; 95% CI, 1.12-3.03], but not in participants with NLR <2.07 (adjusted HR, 0.74; 95% CI, 0.38-1.45) (Pinteraction = 0.021). Subgroup analysis demonstrated that the synergistic association of Lp(a) and NLR with prognosis was more pronounced in female patients (Pinteraction = 0.028). This study suggested that combining Lp(a) and NLR may be useful for risk stratification in CAD population.

Fungal communities shift with soybean cyst nematode abundance in soils

Plant parasitic nematodes pose a significant threat to food security. Management strategies for these pathogens are limited, and additional tools for their control are needed. Some fungi have shown promise for biocontrol, however, their success in the field has varied. In contrast, some fungal plant pathogens form synergistic associations with nematodes resulting in increased plant disease severity. However, how both groups of fungi change with different plant parasitic nematode abundances in the soil is underexplored. In this study, we used the soybean cyst nematode as a model to understand these changes. We sampled soil from 171 Ohio soybean fields in 2019 and 2021 and determined soybean cyst nematode abundance. We identified the fungi in the samples through amplicon sequencing of the 18S-ITS rDNA regions. Edaphoclimatic factors were used to classify samples into geographic regions to account for environmental differences between sampling locations. We hypothesized that fungal communities would be influenced by both region and soybean cyst nematode abundance. K-near neighbor analysis revealed that fungal communities follow regional patterns. We also found that soybean cyst nematode abundance was associated with changes in these communities regardless of the region. Two potential nematophagous fungi were found to be prevalent in Ohio through core community analysis, although they were enriched when soybean cyst nematode abundance was high. Lastly, differential network analysis showed that interactions among fungal community members change when soybean cyst nematode is present in the soil. Together these results suggest that this nematode significantly shifts the fungal community composition in field soils.

Yarrowia lipolytica yeast as a dietary supplement for rainbow trout (Oncorhynchus mykiss): Effects on gut microbiota, health and immunity

This study evaluated the effect of whole and autolysed Yarrowia lipolytica CBS 7504 strain on growth performance, gut immunity and gut microbiota composition in juvenile rainbow trout (Oncorhynchus mykiss). Fish were fed diets containing 2% and 5% whole or autolysed Y. lipolytica (WY and AY) in a 45-day trial, with a no-yeast diet as control. Log2 fold change analysis of Y. lipolytica diets showed relative change in abundance and association of certain microbial taxa with respect to control such as a correlation between the relative abundance of Desulfovibrionaceae in diets with WY. Moreover, diets at 5% and 2% levels demonstrated a synergistic association with relative levels of Sphingobacteriaceae and Rhodobacteraceae, respectively. However, the overall analyses showed little/no impact of Y. lipolytica supplementation on overall intestinal microbial composition, growth parameters and body indices. Gene expression analysis of the intestine revealed significant elevation in expression of immune-related genes of the complement pathway (c3 and c-type lectin), membrane receptor pathway (tlr2 and tlr5), mucosal innate immune pathway (muc-2), cytokines (tnf-α) and adaptive immune pathway (igt and cd4) in 5% WY. In conclusion, it can be inferred that dietary Y. lipolytica can be a useful functional feed supplement for rainbow trout when used as whole yeast at a 5% inclusion level since it can modulate gut microbial communities and act as a potential immunostimulant for the host.

Associations Between Age at Menopause, Vascular Risk, and 3-Year Cognitive Change in the Canadian Longitudinal Study on Aging.

Mounting evidence supports sex differences in Alzheimer disease (AD) risk. Vascular and hormonal factors may together contribute to AD risk in female adults. We investigated whether age at menopause, vascular risk, and history of hormone therapy (HT) containing estrogens together influence cognition over a 3-year follow-up period. We hypothesized that earlier menopause and elevated vascular risk would have a synergistic association with lower cognitive scores at follow-up and that HT containing estrogens would attenuate this synergistic association to preserve cognition. We used data from postmenopausal female participants and age-matched male participants in the Canadian Longitudinal Study on Aging. Vascular risk was calculated using a summary score of elevated blood pressure, antihypertensive medications, elevated low-density lipoprotein cholesterol, diabetes, smoking, and obesity. Cognition was measured with a global cognitive composite at baseline and 3-year follow-up. Linear models tested independent and interactive associations of age at menopause, vascular risk, and HT history with cognition at 3-year follow-up, adjusting for baseline cognition, baseline age, years of education, and test language (English/French). We included 8,360 postmenopausal female participants (mean age at baseline = 65.0 ± 8.53 years, mean age at menopause = 50.1 ± 4.62 years) and 8,360 age-matched male participants for comparison. There was an interaction between age at menopause and vascular risk, such that earlier menopause and higher vascular risk were synergistically associated with lower cognitive scores at follow-up (β = 0.013, 95% CI 0.001-0.025, p = 0.03). In stratified analyses, vascular risk was associated with lower cognitive scores in female participants with earlier menopause (menopausal ages 35-48 years; β = -0.044, 95% CI -0.066 to -0.022, p < 0.001), but not average (ages 49-52 years; β = -0.007, 95% CI -0.027 to 0.012, p = 0.46) or later menopause (ages 53-65 years; β = 0.003, 95% CI -0.020 to 0.025, p = 0.82). The negative association of vascular risk with cognition in female participants with earlier menopause was stronger than the equivalent association in age-matched male participants. HT history did not further modify the synergistic association of age at menopause and vascular risk with follow-up cognition (β = -0.005, 95% CI -0.032 to 0.021, p = 0.69). Endocrine and vascular processes may synergistically contribute to increased risk of cognitive decline in female adults. These findings have implications for the development of sex-specific dementia prevention strategies.

Agricultural carbon reduction in China: The synergy effect of trade and technology on sustainable development

The control of carbon emissions from agriculture is imperative in addressing the challenges posed by the greenhouse effect. China must develop a specific pathway for reducing its agricultural carbon emissions, accounting for its unique circumstances and considering the impacts of trade liberalization. (1) The study revealing that agricultural trade liberalization (ATL) has a marked effect on lowering China's agricultural carbon emission intensity (ACEI), with robustness and endogeneity tests supporting these findings. (2) In the pursuit of emissions reduction, the crucial role of technology spillovers (TS) and the optimization of industrial structure (OIS) are essential. (3) The reduction in ACEI is particularly notable in coastal regions, areas with low environmental regulations and during periods characterized by more stable agricultural tariffs. This study shows a synergistic association between ATL and ACEI, indicates the potential for a mutually beneficial situation with advantages in both economic and environmental aspects.

Exploring synergistic and individual causal effects of rare earth elements and renewable energy on multidimensional economic complexity for sustainable economic development

The ongoing global energy transition has highlighted the instrumental role of rare earth elements (REEs) in achieving green growth through the deployment of renewable energy technologies, establishing a hypothetical progressive synergistic association between them. Therefore, testing this hypothetical synergy and its potential causal effects on economic and technological proxies based on empirical foundations becomes imperative in addressing rampant climatic change. First, we employed Deep Learning algorithms to explore the combined effects of this synergy on Multidimensional Economic Complexity (MEC) as an index using panel data of the largest producers of REEs from 1990 to 2023. Second, Temporal Causal Modelling (TCM) was employed to unveil the directional causality between REEs and renewable energy, as well as their causal roles in driving economic complexities. The deep learning models accurately predicted the positive role of this synergistic relationship in promoting overall MEC. Then, the results of TCM reveal that REE production increases renewable energy use and reduces CO2 emissions. Renewable energy promotes Research and Technology complexities while REE production affects them indirectly through renewables. It implies that harnessing this synergy to enhance economic complexities can, in turn, bolster green economic and technological development while mitigating CO2 emissions and addressing pervasive climate change.

Disorder in CENP-ACse4 tail-chaperone interaction facilitates binding with Ame1/Okp1 at the kinetochore

The centromere is epigenetically marked by a histone H3 variant-CENP-A. The budding yeast CENP-A called Cse4, consists of an unusually long N-terminus that is known to be involved in kinetochore assembly. Its disordered chaperone, Scm3 is responsible for the centromeric deposition of Cse4 as well as in the maintenance of a segregation-competent kinetochore. In this study, we show that the Cse4 N-terminus is intrinsically disordered and interacts with Scm3 at multiple sites, and the complex does not gain any substantial structure. Additionally, the complex forms a synergistic association with an essential inner kinetochore component (Ctf19-Mcm21-Okp1-Ame1), and a model has been suggested to this effect. Thus, our study provides mechanistic insights into the Cse4 N-terminus-chaperone interaction and also illustrates how intrinsically disordered proteins mediate assembly of complex multiprotein networks, in general.

Application of co-crystallization method for the production of ammonium perchlorate/ammonium nitrate oxidizer for solid rocket propellants

Efforts in the quest for greener alternatives to ammonium perchlorate (AP) as a solid rocket propellant oxidizer have intensified due to the associated health and environmental concerns. AP exceptional performance in propulsion is accompagnied by its environmental concerns, necessitating the exploration of greener alternatives. Ammonium nitrate (AN) has emerged as a promising substitute, offering cleaner combustion products and cost-effectiveness. AN-based propellants face challenges such as hygroscopicity and structural instability. This study aims to reconcile the latter challenges by employing a co-crystallization process that embodies a synergistic association of AP and AN, culminating in a novel molecule that harmonizes their distinct advantages and mitigates their individual shortcomings. Optimizing the solvent/antisolvent co-crystallization process through a variation of the antisolvent temperature Ta and antisolvent-to-solvent ratio Ra/s allows to assess their impact on the co-crystallization process of AP and AN and to attain the desired and optimal co-crystal formation conditions. Various characterization techniques were applied to gain deep insights into the co-crystal formation mechanism, its thermal behavior, morphological and structural features together with its thermal decomposition kinetics. Maintaining a low Ta and a high Ra/s (Ta = 15 °C, Ra/s = 11) yielded the design of AP/AN that demonstrates typical indications of the cocrystal formation. The AP/AN cocrystal formation elevated the decomposition temperature by about 18 °C compared to the physical mixture. Furthermore, the combination of AP and AN demonstrates a non-negligible decrease in the HTD temperature compared to that of pure AP by about 110 °C. The kinetic study demonstrated a 50 kJ/mol increase in the activation energy of the AP/AN cocrystal compared to that of the physical mixture. The present research addresses the critical gap in the literature by investigating the co-crystallization of AP and AN that not only improves the safety and environmental impact of solid propellants but also enhances their overall performance and stability.