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Hierarchical superstructures, ubiquitously found in nature, offer enhanced efficiency in both substance reaction and mass transport owing to their unique multiscale features. Inspired by these natural systems, this research reports a general and scalable electrochemical scheme for creating highly branched, multilevel porous superstructures on various electrically conductive substrates. These structures exhibit cascading features from centimeters, submillimeters, micrometers, down to sub-100 nm, significantly increasing the surface area of substrates, such as foams, foils, and carbon cloth by 2 orders of magnitudeâamong the highest reported enhancements. This versatile and low-cost method, applicable to a range of electrically conductive substrates, enables innovative flow-assisted water purification with enhanced energy efficiency. The performance, successfully removing 99% of mercury within 0.5 h at 540 rpm and meeting the U.S. Environmental Protection Agency (EPA) safety standards for drinking water, further validates the advantages of these unique structures. Overall, the reported general, economical, and versatile scheme could broadly impact energy and environmental remediation.
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Background and Aims: Upper limb recovery after stroke tends to be slower and incomplete. Participation in motor rehabilitation and exercise adherence are crucial to improve motor recovery. However, post-stroke depression (PSD) could impede active participation in exercises. Therefore, this study investigates the association between depression and exercise adherence among community-dwelling stroke survivors. Methods: This cross-sectional study was conducted among 215 stroke survivors undergoing motor rehabilitation between February 2021 and January 2023. Patient Health Questionnaire-9 (PHQ-9) and Stroke-Specific Measure of Adherence to Home-based Exercises (SS-MAHE) were measured to assess depression symptoms and exercise adherence, respectively. Fugl-Meyer Assessment-Upper Extremity (FMA-UE) was administered to identify the influence of impairment on these factors. Chi-square and multinomial and binary logistic regression analyses were applied to determine the relationships between these measurements. Results: Using the Chi-square test, the PHQ-9 was significantly associated with SS-MAHE (p < 0.05). Logistic regression analysis revealed that patients with moderate depression had lower odds of exercise adherence (OR:0.69, 95%CI:0.56, 0.85, p < 0.01) compared to those with no depression. Type of exercises such as movement-based (OR:2.00, 95%CI:1.80, 2.24, p < 0.001) and task-based exercises (OR:1.80, 95%CI:1.53, 2.13, p < 0.001), had higher adherence odds compared to those not exercising. Severe impairment (FMA-UE) was significantly associated with lower exercise adherence (OR:0.71, 95%CI:0.54, 0.94, p < 0.05) and an increased risk of minimal depression (RR:11.09, 95%CI:1.17, 105.04, p < 0.05) compared to mild impairment. Conclusions: PSD significantly impacts exercise adherence, with moderate depression notably reducing adherence rates. Incorporating mental health support into stroke rehabilitation could improve exercise adherence and potentially enhance upper limb motor recovery outcomes.
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Intrinsic magnetism in van der Waals materials has instigated interest in exploring magnetism in the 2D limit for potential applications in spintronics and also in understanding novel control of 2D magnetism via variation of layer thickness, gate tunability and magnetoelectric effects. The chromium telluride (CrxTey) family is an interesting subsection of ferromagnetic materials with highTCvalues, also presenting diverse stoichiometry arising from self-intercalation of Cr. Apart from the layered CrTe2system, the other non-layered CrxTeycompounds also offer exceptional magnetic properties, and a novel growth technique to grow thin films of these non-layered compounds offers exciting possibilities for ultra-thin spin-based electronics and magnetic sensors. In this work, we discuss the role of crystalline substrates in chemical vapor deposition growth of non-layered 2D ferromagnets, where the crystal symmetry of the substrate as well as the misfit and strain are the key players governing the growth mechanism of ultra-thin Cr5Te8, a non-layered ferromagnet. The magnetic studies of the as-grown Cr5Te8reveal the signatures of co-existing soft and hard ferromagnetic phases, which makes this system an intriguing system to search for emergent topological phases, such as magnetic skyrmions.
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Background: Neck pain is one of the most burdensome chronic musculoskeletal problems globally. Impaired proprioception is associated with Chronic Nonspecific neck pain as the structures of the cervical spine are crucial for proprioception and balance. There is a paucity of literature examining objective measures of balance and postural sway in patients with Nonspecific neck pain. Methods: This study was observational and consisted of 126 samples (63 cases and 63 controls who were recruited using convenience sampling. The demographics of the samples were collected and the postural and balance impairment was assessed using Biodex Balance SD. Mean, Median, and SD were obtained and the inferential analysis was done using the Whitney U Test and the level of significance was accepted at p < 0.05. Results: The subjects with neck pain showed had a lower static stability index, static sway index, static stability index- forward backward and static sway index lateral scores than the normal counterparts. There are significant differences in the overall static stability index, (p < 0.001). There was a significant difference in static sway index(p = 0.003), and static stability index lateral (p = 0.004). There was no significant difference for static sway index forward and backward (p = 0.550) and lateral sway index (p = 0.711). Conclusion: Subjects with neck pain showed had a lower static stability index, static sway index, static stability index- forward backward and static sway index lateral scores than the normal counterparts and there was a significant difference between the static sway and static stability index in forward and backward directions as well as in lateral direction. These findings may help to assess the specific balance parameters and address the underlying causes of balance issues in patients with neck pain and also provide a comprehensive care to the patients. Clinical Trial Registration: The trial was registered with CTRI India with registration number: CTRI/2022/07/044222.
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The goal of cancer research is to identify characteristics of cancer cells that allow them to be selectively eliminated without harming the host. One such characteristic is autophagy dependence. Cancer cells survive, proliferate, and metastasize under conditions where normal cells do not. Thus, the requirement in cancer cells for more energy and macromolecular biosynthesis can evolve into a dependence on autophagy for recycling cellular components. Recent studies have revealed that autophagy, as well as different forms of cellular trafficking, is regulated by five phosphoinositides associated with eukaryotic cellular membranes and that the enzymes that synthesize them are prime targets for cancer therapy. For example, PIKFYVE inhibitors rapidly disrupt lysosome homeostasis and suppress proliferation in all cells. However, these inhibitors selectively terminate PIKFYVE-dependent cancer cells and cancer stem cells with not having adverse effect on normal cells. Here, we describe the biochemical distinctions between PIKFYVE-sensitive and -insensitive cells, categorize PIKFYVE inhibitors into four groups that differ in chemical structure, target specificity and efficacy on cancer cells and normal cells, identify the mechanisms by which they selectively terminate autophagy-dependent cancer cells, note their paradoxical effects in cancer immunotherapy, and describe their therapeutic applications against cancers.
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Autofagia , Neoplasias , Autofagia/efectos de los fármacos , Humanos , Neoplasias/patología , Neoplasias/tratamiento farmacológico , Neoplasias/metabolismo , Fosfatidilinositol 3-Quinasas/metabolismo , Animales , Inhibidores de las Quinasa Fosfoinosítidos-3/farmacología , Inhibidores de las Quinasa Fosfoinosítidos-3/uso terapéuticoRESUMEN
INTRODUCTION: The safety and therapeutic effects of Gingko biloba extract EGb 761® to treat cognitive decline have been demonstrated in numerous clinical trials. However, trials in Indian populations have been lacking. METHODS: This open-label, multicenter, single-arm, phase IV trial enrolled 150 patients aged ≥50 years with major neurocognitive disorder due to Alzheimer's disease, major vascular neurocognitive disorder, or mixed forms of both according to the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) criteria and a Mini-Mental State Examination (MMSE) score of 12-24. Patients took 120 mg EGb 761® twice daily for 18 weeks. Therapeutic effects were assessed by CERAD constructional praxis and recall of constructional praxis (CERAD CP, CERAD recall of CP), Trail-Making Test (TMT), Behavioral Pathology in Alzheimer's Disease (BEHAVE-AD), Clinical Global Impressions (CGI) scale, and 11-point box scales for tinnitus and vertigo. Safety assessment was based on the occurrence of adverse events as well as changes in clinical, laboratory, and functional parameters. RESULTS: After 18 weeks, significant improvements compared to baseline were found in constructional praxis (CERAD CP, p < 0.0001), memory (CERAD recall of CP, p < 0.0001), speed and executive functioning (TMT A, p < 0.0001; TMT B, p < 0.0001), and behavioral symptoms (BEHAVE-AD, p < 0.0001). Forty-five adverse events were reported in 33 (22.0%) patients in total, including ten presumed adverse drug reactions in 9 (6.0%) patients. Headache and diarrhea of mild-to-moderate severity were the most frequent events. Two serious adverse events, both considered unrelated to the study drug, occurred in 2 (1.3%) patients. CONCLUSION: This study confirmed the favorable safety profile and suggested therapeutic benefits of EGb 761® in Indian patients with major neurocognitive disorder.
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Of late, siloxane-containing vitrimers have gained significant interest due to their fast dynamic characteristics over a reasonable temperature range (180-220 °C), making them well-suited for diverse applications. The exchange reaction pathway in the siloxane vitrimers is accountable for the covalent adaptive network, with the reaction's effectiveness being regulated by either organic or organometallic catalysts. However, directly studying the exchange reaction pathway in the bulk phase using experimental approaches is challenging because of the intricate and interconnected structure of these vitrimers. Here, we perform comprehensive density functional theory (DFT) and experimental investigations to discover the detailed catalytic efficacy of siloxane exchange and provide direction for the reaction process using a 1,5,7-triazabicyclo[4.4.0]dec-5-ene (TBD) catalyst. The calculated transition barrier energy and catalytic efficiency of hexamethyldisiloxane and dihydroxy-dimethylsilane exchange derived from the nudged elastic band with transition-state calculations strongly agree with the experimental findings. In addition, Fukui indices, along with partial charges, are employed to evaluate the nucleophilic and electrophilic behaviors of silanol and siloxane molecules. Our analysis revealed that by utilizing the Fukui indices of both the acid and the base, we can make an approximate estimation of the respective kinetics of the SN2 process in the siloxane exchange reaction mechanism. These findings establish a foundation for comprehending a crucial aspect of the exchange mechanism in siloxane vitrimer systems and could aid in the development of novel catalysts.
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Catalysis is crucial for clean energy, green chemistry, and environmental remediation, but traditional methods rely on expensive and scarce precious metals. This review addresses this challenge by highlighting the promise of earth-abundant catalysts and the recent advancements in their rational design. Innovative strategies such as physics-inspired descriptors, high-throughput computational techniques, and artificial intelligence (AI)-assisted design with machine learning (ML) are explored, moving beyond time-consuming trial-and-error approaches. Additionally, biomimicry, inspired by efficient enzymes in nature, offers valuable insights. This review systematically analyses these design strategies, providing a roadmap for developing high-performance catalysts from abundant elements. Clean energy applications (water splitting, fuel cells, batteries) and green chemistry (ammonia synthesis, CO2 reduction) are targeted while delving into the fundamental principles, biomimetic approaches, and current challenges in this field. The way to a more sustainable future is paved by overcoming catalyst scarcity through rational design.
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Memristors, non-volatile switching memory platform, has recently attracted significant interest, offering unique potential to enable the realization of human brain-like neuromorphic computing efficiency. Memristors also demonstrate excellent temperature tolerance, long-term durability, and high tunability with nanosecond pulses, making them highly attractive for neuromorphic computing applications. To better understand the material processing, microstructure, and property relationship of switching mechanisms in memristor devices, computational methodologies, and tools are developed to predict the I-V characteristics of memristor devices based on tantalum oxide (TaOx) resistive random-access memory (ReRAM) integrated with an n-channel metal-oxide-semiconductor (NMOS) transistor. A multiphysics model based on coupled partial differential equations for electrical and thermal transport phenomena is solved for the high- and low-resistance states during the formation, growth, and destruction of a conducting filament through SET and RESET stages. These stages effectively represent the migration of oxygen vacancies within an oxide exchange layer. A series of parametric studies and energy minimization calculations are conducted to determine probable ranges for key material and model parameters accounting for the experimental data. The computational model successfully predicted the measured I-V curves across various gate voltages applied to the NMOS transistor in the one transistor one resistance (1T1R) configuration.
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Inhibitors specifically targeting the 1-phosphatidylinositol 3-phosphate 5-kinase (PIKFYVE) disrupt lysosome homeostasis, thereby selectively terminating autophagy-dependent human cancer cells in vivo as well as in vitro without harming the viability of nonmalignant cells. To elucidate the mechanism by which PIKFYVE inhibition induces cell death, autophagy-dependent melanoma cells were compared with normal foreskin fibroblasts. RNA sequence profiling suggested that PIKFYVE inhibitors upregulated an endoplasmic reticulum (ER) stress response involving interleukin-24 (IL24; also known as MDA7) selectively in melanoma cells. Subsequent biochemical and genetic analyses confirmed these results and extended them to tumor xenografts in which tumor formation and expansion were inhibited. IL24 expression was upregulated by the DDIT3/CHOP/CEBPz transcription factor, a component of the PERK-dependent ER-stress response. Ectopic expression of IL24-induced cell death in melanoma cells, but not in foreskin fibroblasts, whereas ablation of the IL24 gene in melanoma cells prevented death. IL24 upregulation was triggered specifically by PIKFYVE inhibition. Thus, unlike thapsigargin and tunicamycin, which induce ER-stress indiscriminately, PIKFYVE inhibitors selectively terminated PIKFYVE-sensitive melanoma by inducing IL24-dependent ER-stress. Moreover, induction of cell death by a PIKFYVE inhibitor together with ectopic expression of IL24 protein was cumulative, thereby confirming the therapeutic potential of PIKFYVE inhibitors in the treatment of melanoma.
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Melanoma , Humanos , Melanoma/tratamiento farmacológico , Melanoma/genética , Melanoma/patología , Muerte Celular , Interleucinas/genética , Autofagia/fisiología , Estrés del Retículo Endoplásmico , Apoptosis/fisiología , Fosfatidilinositol 3-QuinasasRESUMEN
Twisted 2D layered materials have garnered much attention recently as a class of 2D materials whose interlayer interactions and electronic properties are dictated by the relative rotation/twist angle between the adjacent layers. In this work, we explore a prototype of such a twisted 2D system, artificially stacked twisted bilayer graphene (TBLG), where we probe, using Raman spectroscopy, the changes in the interlayer interactions and electron-phonon scattering pathways as the twist angle is varied from 0° to 30°. The long-range Moiré potential of the superlattice gives rise to additional intravalley and intervalley scattering of the electrons in TBLG, which has been investigated through their Raman signatures. Density functional theory (DFT) calculations of the electronic band structure of the TBLG superlattices were found to be in agreement with the resonant Raman excitations across the van Hove singularities in the valence and conduction bands predicted for TBLG due to hybridization of bands from the two layers. We also observe that the relative rotation between the graphene layers has a marked influence on the second order overtone and combination Raman modes signaling a commensurate-incommensurate transition in TBLG as the twist angle increases. This serves as a convenient and rapid characterization tool to determine the degree of commensurability in TBLG systems.
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The resistive switching behavior in Ta2O5 based memristors is largely controlled by the formation and annihilation of conductive filaments (CFs) that are generated by the migration of oxygen vacancies (OVs). To gain a fundamental insight on the switching characteristics, we have systematically investigated the electrical transport properties of two different Ta2O5 polymorphs ([Formula: see text]-Ta2O5 and λ-Ta2O5), using density functional theory calculations, and associated vacancy induced electrical conductivity using Boltzmann transport theory. The projected band structure and DOS in a few types of OVs, (two-fold (O2fV), three-fold (O3fV), interlayer (OILV), and distorted octahedral coordinated vacancies (OεV)) reveal that the presence of OILV would cause Ta2O5 to transition from a semiconductor to a metal, leading to improved electrical conductivity, whereas the other OV types only create localized mid-gap defect states within the bandgap. On studying the combined effect of OVs and Si-doping, a reduction of the formation energy and creation of defect states near the conduction band edge, is observed in Si-doped Ta2O5, and lower energy is found for the OVs near Si atoms, which would be advantageous to the uniformity of CFs produced by OVs. These findings can serve as guidance for further experimental work aimed at enhancing the uniformity and switching properties of resistance switching for Ta2O5-based memristors.
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In this work, we decorated piezoresponsive atomically thin ZnO nanosheets on a polymer surface using additive manufacturing (three-dimensional (3D) printing) technology to demonstrate electrical-mechanical coupling phenomena. The output voltage response of the 3D-printed architecture was regulated by varying the external mechanical pressures. Additionally, we have shown energy generation by placing the 3D-printed fabric on the padded shoulder strap of a bag with a load ranging from â¼5 to â¼75 N, taking advantage of the excellent mechanical strength and flexibility of the coated 3D-printed architecture. The ZnO coating layer forms a stable interface between ZnO nanosheets and the fabric, as confirmed by combining density functional theory (DFT) and electrical measurements. This effectively improves the output performance of the 3D-printed fabric by enhancing the charge transfer at the interface. Therefore, the present work can be used to build a new infrastructure for next-generation energy harvesters capable of carrying out several structural and functional responsibilities.
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Current silicon technology is on the verge of reaching its performance limits. This aspect, coupled with the global chip shortage, makes a solid case for steering our attention toward the accelerated commercialization of other electronic materials. Among the available suite of emerging electronic materials, two-dimensional materials, including transition metal dichalcogenides (TMDs), exhibit improved short-channel effects, high electron mobility, and integration into CMOS-compatible processing. While these materials may not be able to replace silicon at the current stages of development, they can supplement Si in the form of Si-compatible CMOS processing and be manufactured for tailored applications. However, the major hurdle in the path of commercialization of such materials is the difficulty in producing their wafer-scale forms, which are not necessarily single crystalline but on a large scale. Recent but exploratory interest in 2D materials from industries, such as TSMC, necessitates an in-depth analysis of their commercialization potential based on trends and progress in entrenched electronic materials (Si) and ones with a short-term commercialization potential (GaN, GaAs). We also explore the possibility of unconventional fabrication techniques, such as printing, for 2D materials becoming more mainstream and being adopted by industries in the future. In this Perspective, we discuss aspects to optimize cost, time, thermal budget, and a general pathway for 2D materials to achieve similar milestones, with an emphasis on TMDs. Beyond synthesis, we propose a lab-to-fab workflow based on recent advances that can operate on a low budget with a mainstream full-scale Si fabrication unit.
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Background: In-hospital strokes are a small but sizeable proportion of all strokes. Identification of in-hospital strokes is confounded by stroke mimics in as many as half of in-patient stroke codes. A quick scoring system based on risk factors and clinical signs during the initial evaluation of a suspected stroke might be helpful to distinguish true strokes from mimics. Two such scoring systems based on ischemic and hemorrhagic risk factors are the risk for in-patient stroke (RIPS) and the 2CAN score. Materials and Methods: This prospective clinical study was conducted at a quaternary care hospital in Bengaluru, India. All hospitalized patients aged 18 years and above for whom a "stroke code" alert was recorded during the study period of January 2019 to January 2020 were included in the study. Results: A total of 121 in-patient "stroke codes" were documented during the study. Ischemic stroke was the most common etiological diagnosis. A total of 53 patients were diagnosed to have ischemic stroke, 4 had intracerebral hemorrhage, and the rest were mimics. Receiver operative curve analysis was performed and at a cut-off of RIPS ≥3, it predicts stroke with a sensitivity of 77% and a specificity of 73%. At a cut-off of 2CAN ≥3, it predicts stroke with a sensitivity of 67% and a specificity of 80%. RIPS and 2CAN significantly predicted stroke. Conclusions: There was no difference in the use of either RIPS or 2CAN for differentiating stroke from mimics, and hence they may be used interchangeably. They were statistically significant with good sensitivity and specificity, as a screening tool to determine in-patient stroke.
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A broad perspective of quantum technology state of the art is provided and critical stumbling blocks for quantum technology development are identified. Innovations in demonstrating and understanding electron entanglement phenomena using bulk and low-dimensional materials and structures are summarized. Correlated photon-pair generation via processes such as nonlinear optics is discussed. Application of qubits to current and future high-impact quantum technology development is presented. Approaches for realizing unique qubit features for large-scale encrypted communication, sensing, computing, and other technologies are still evolving; thus, materials innovation is crucially important. A perspective on materials modeling approaches for quantum technology acceleration that incorporate physics-based AI/ML, integrated with quantum metrology is discussed.
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Although PIKFYVE phosphoinositide kinase inhibitors can selectively eliminate PIKFYVE-dependent human cancer cells in vitro and in vivo, the basis for this selectivity has remained elusive. Here we show that the sensitivity of cells to the PIKFYVE inhibitor WX8 is not linked to PIKFYVE expression, macroautophagic/autophagic flux, the BRAFV600E mutation, or ambiguous inhibitor specificity. PIKFYVE dependence results from a deficiency in the PIP5K1C phosphoinositide kinase, an enzyme required for conversion of phosphatidylinositol-4-phosphate (PtdIns4P) into phosphatidylinositol-4,5-bisphosphate (PtdIns[4,5]P2/PIP2), a phosphoinositide associated with lysosome homeostasis, endosome trafficking, and autophagy. PtdIns(4,5)P2 is produced via two independent pathways. One requires PIP5K1C; the other requires PIKFYVE and PIP4K2C to convert PtdIns3P into PtdIns(4,5)P2. In PIKFYVE-dependent cells, low concentrations of WX8 specifically inhibit PIKFYVE in situ, thereby increasing the level of its substrate PtdIns3P while suppressing PtdIns(4,5)P2 synthesis and inhibiting lysosome function and cell proliferation. At higher concentrations, WX8 inhibits both PIKFYVE and PIP4K2C in situ, which amplifies these effects to further disrupt autophagy and induce cell death. WX8 did not alter PtdIns4P levels. Consequently, inhibition of PIP5K1C in WX8-resistant cells transformed them into sensitive cells, and overexpression of PIP5K1C in WX8-sensitive cells increased their resistance to WX8. This discovery suggests that PIKFYVE-dependent cancers could be identified clinically by low levels of PIP5K1C and treated with PIKFYVE inhibitors.Abbreviations: DMSO: dimethylsulfoxide; ELISA: enzyme-linked immunosorbent assay; LC3-I: microtubule associated protein light chain 3-I; LC3-II: microtubule associated protein light chain 3-II; MS: mass spectrometry; PtdIns: phosphatidylinositol; PtdIns3P: PtdIns-3-phosphate; PtdIns4P: PtdIns-4-phosphate; PtdIns5P: PtdIns-5-phosphate; PtdIns(3,5)P2: PtdIns-3,5-bisphosphate; PtdIns(4,5)P2/PIP2: PtdIns-4,5-bisphosphate; PtdIns(3,4,5)P3/PIP3: PtdIns-3,4,5-trisphosphate; PIKFYVE: phosphoinositide kinase, FYVE-type zinc finger containing; PIK3C3: phosphatidylinositol 3-kinase catalytic subunit type 3; PI4KA: phosphatidylinositol 4-kinase alpha; PI4KB: phosphatidylinositol 4-kinase beta; PI4K2A: phosphatidylinositol 4-kinase type 2 alpha; PI4K2B: phosphatidylinositol 4-kinase type 2 beta; PIP4K2A: phosphatidylinositol-5-phosphate 4-kinase type 2 alpha; PIP4K2B: phosphatidylinositol-5-phosphate 4-kinase type 2 beta; PIP4K2C: phosphatidylinositol-5-phosphate 4-kinase type 2 gamma; PIP5K1A: phosphatidylinositol-4-phosphate 5-kinase type 1 alpha; PIP5K1B: phosphatidylinositol-4-phosphate 5-kinase type 1 beta; PIP5K1C: phosphatidylinositol-4-phosphate 5-kinase type 1 gamma; WX8: 1H-indole-3-carbaldehyde (4-anilino-6-[4-morpholinyl]-1,3,5-triazin-2-yl)hydrazone.
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1-Fosfatidilinositol 4-Quinasa , Neoplasias , Humanos , Autofagia/fisiología , Fosfatidilinositol 3-Quinasas/metabolismo , Fosfatos de Fosfatidilinositol/metabolismo , Fosfatidilinositoles , Proteínas Asociadas a Microtúbulos , Fosfotransferasas (Aceptor de Grupo Alcohol)RESUMEN
The increasing interests in analog computing nowadays call for multipurpose analog computing platforms with reconfigurability. The advancement of analog computing, enabled by novel electronic elements like memristors, has shown its potential to sustain the exponential growth of computing demand in the new era of analog data deluge. Here, a platform of a memristive field-programmable analog array (memFPAA) is experimentally demonstrated with memristive devices serving as a variety of core analog elements and CMOS components as peripheral circuits. The memFPAA is reconfigured to implement a first-order band pass filter, an audio equalizer, and an acoustic mixed frequency classifier, as application examples. The memFPAA, featured with programmable analog memristors, memristive routing networks, and memristive vector-matrix multipliers, opens opportunities for fast prototyping analog designs as well as efficient analog applications in signal processing and neuromorphic computing.
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Objective: To characterize the first patient of Perry syndrome reported from India. Methods: A 62-year-old gentleman presented with acute encephalopathy, hypercapnia, central hypoventilation, and seizures. He required ventilatory support for persistent respiratory failure even after the resolution of the encephalopathy. History revealed symptoms of orthostatic hypotension, episodes of shallow breathing, unsteadiness of gait, anxiety and depression, and significant weight loss for the previous two years. His mother and elder brother had succumbed to a similar illness. Investigations for neuromuscular diseases, including myasthenia and Pompes disease, were negative. Genetic tests for muscular dystrophies and myopathies, investigations for infectious, autoimmune, and para-neoplastic diseases were negative. Neuroimaging and electrophysiological studies were unremarkable. During his hospital stay, he developed rigidity and bradykinesia. Results: In view of the prominent respiratory failure, Parkinsonism, unexplained weight loss, and family history, he was tested for Perry syndrome. A heterozygous missense variation in Exon 2 of the DCTN1 gene that results in the substitution of Proline for Alanine at codon 45 (pA45P) was detected. This variant was not detected in his clinically unaffected brother. The clinical presentation and genetic test indicate Perry syndrome, a rare autosomal dominant fatal disease, which has never been reported from India. The patient improved with Levodopa and neurorehabilitation but eventually succumbed to his illness three years later. Conclusion: Perry syndrome, though rare, should be considered in the differential diagnosis of patients with a family history of Parkinsonism and central hypoventilation.
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Shape memory polymers (SMPs), although offer a suite of advantages such as ease of processability and lower density, lag behind their shape memory alloy counterparts, in terms of mechanical properties such as recovery stress and cyclability. Reinforcing SMPs with inorganic nanowires and carbon nanotubes (CNTs) is a sought-after pathway for tailoring their mechanical properties. Here, inorganic nanowires also offer the added advantage of covalently binding the fillers to the surrounding polymer matrices via organic molecules. The SMP composites (SMPCs) thus obtained have well-engineered nanowire-polymer interfaces, which could be used to tune their mechanical properties. A well-known method of fabricating SMPCs involving casting dispersions of nanowires (or CNTs) in mixtures of monomers and crosslinkers typically results in marginal improvements in the mechanical properties of the fabricated SMPCs. This is owed to the constraints imposed by the rule-of-mixture principles. To circumvent this limitation, a new method for SMPC fabrication is designed and presented. This involves infiltrating polymers into pre-fabricated nanowire foams. The pre-fabricated foams were fabricated by consolidating measured quantities of nanowires and a sacrificial material, such as (NH4)2CO3, followed by heating the consolidated mixtures for subliming the sacrificial material. Similar to the case of traditional composites, use of silanes to functionalize the nanowire surfaces allowed for the formation of bonds between both the nanowire-nanowire and the nanowire-polymer interfaces. SMPCs fabricated using TiO2nanowires and SMP composed of neopentyl glycol diglycidyl ether and poly(propylene glycol) bis(2-aminopropyl ether) (Jeffamine D230) in a 2:1 molar ratio exhibited a 300% improvement in the elastic modulus relative to that of the SMP. This increase was significantly higher than SMPC made using the traditional fabrication route. Well-known powder metallurgy techniques employed for the fabrication of these SMPCs make this strategy applicable for obtaining other SMPCs of any desired shape and chemical composition.