Improvements In Processing Research Articles

Neuropsychological effects of a six‐month online cognitive health program with a weekly telehealth lifestyle support group and personalized precision medicine recommendations for health optimization in older adults with subjective cognitive impairment

AbstractBackgroundMaintaining healthy lifestyle behaviors and optimizing health may slow cognitive decline through risk reduction in older adults with cognitive impairments. Curriculum‐based health coaching, weekly psychosocial support, and use of biomarkers to guide health optimization may aid in establishing effective behavior change centered around multiple reversible dementia risk factors.MethodWe piloted combined use of a six‐month online Cognitive Health Program (www.amosinstitute.com) with a telehealth lifestyle support group in six patients with subjective cognitive complaints receiving ongoing outpatient memory care. These patients were given lab‐guided personalized health recommendations for dementia risk reduction throughout the pilot intervention during monthly individual appointments with the study physician overseeing the group. A registered dietician was invited to lead the weekly telehealth lifestyle support group, which was delivered in partnership with the Center’s memory clinicians and health coaches. Highlights of the online Cognitive Health Program were reviewed by the dietician each week followed by group discussion on topics including diet, exercise, sleep, stress, and cognitive training. Cognition was assessed at baseline and post‐intervention using a computerized battery (www.cambridgebrainsciences.com). The significance of cognitive changes was estimated with nonparametric tests and effect sizes (Cohen’s d). The participants were also queried qualitatively on adherence and satisfaction.ResultCompared to baseline, the participants improved significantly in the global cognition score (p<.02, d = 1.6), and had significant improvements in spatial planning (p<.01, d = 2.3) and visuospatial processing (p<.05, d = 1.1). There was a borderline improvement in verbal reasoning (p<.06, d = 1.0). Subjective reports indicated that participants were able to successfully adhere to multiple lifestyle habits in the areas of sleep, nutrition, and exercise. Participants reported high levels of satisfaction with the virtual group format, the online curriculum, and access to the additional online resources.ConclusionA virtually administered, six‐month, weekly health coaching group that addresses multiple lifestyle factors associated with brain health, supplemented by self‐paced online health education and lab‐based health optimization by a physician, is feasible and potentially efficacious for improving cognition in participants with subjective cognitive impairment. This format may facilitate behavior change to slow cognitive decline. Future studies will include neuroimaging, formal neuropsychological testing, controls, and larger sample sizes.

Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging.

Peanut (also called groundnut, Arachis hypogaea L.) seeds are used for producing edible oils and functional foods, and offer a rich source of lipids, proteins and carbohydrates. However, the location of these metabolites has not yet been firmly established. In the present study, the matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI) technique was applied to investigate spatial distribution of lipids and other key components in seeds of three peanut cultivars (ZH9, KQBH, HP). A total of 103 metabolites, including 34 lipid compounds, were putatively identified by MALDI-MSI. The abundance and spatial distribution of glycerolipids (GLs) and glycerophospholipids (GPs) were compared among the three peanut cultivars. All the identified lysophosphatidylcholine (LPC), phosphatidylethanolamine (PE) and phosphatidylcholines (PCs) were distributed mainly in the inner part of seeds. The visualization of phosphatidic acids (PAs) and triacylglycerols (TGs) revealed a dramatic metabolic heterogeneity between the different tissues making up the seed. The non-homogeneous spatial distribution of metabolites appeared to be related to the different functions of particular tissue regions. These results indicated that MALDI-MSI could be useful for investigating the lipids of foodstuffs from a spatial perspective. The present study may contribute to the development of oil crops with higher oil yields, and to improvement of food processing.

Sustainability in Public Universities through lean evaluation and future improvement for administrative processes

The positive results of manufacturing companies adopting lean production practices certainly impacted the adaptation of Lean Manufacturing principles to the service sector, culminating in what we know today as Lean Office. Based on this approach, many Universities have adopted lean principles and practices to improve their administrative processes and thus add value to their students, faculty and staff. From this perspective, but going further, the present research has the general objective of raising the main sustainable impacts generated by a University through the application of Lean Office in its administrative processes. Methodologically, the research is supported by a case study at a Federal Public University in Brazil, where two service processes will be analyzed, one aimed at students and the other at employees (teachers and technicians). The work is conducted according to the phases and steps recommended by the LEFI Method (Lean Evaluation and Future Improvement), with a significant part of the results obtained by the steps related to Value Stream Mapping. As the main results, it is observed that the elimination of waste in administrative processes at the University target of the present study culminated, only in the year 2021, in the saving of 444,754 sheets of printed paper that, due to all its consequences, indirectly impacted the economy of 1,380,000 L of water, in the non-emission of 43.82 kg of CO2 and the preservation of 67 trees.

After the Crisis: Racial/Ethnic Disparities and Predictors of Care Use Following Youth Psychiatric Emergencies

ABSTRACT Objective Youth psychiatric emergencies have increased at alarming rates, and disproportionately so for youth of color. Outpatient follow-up care is critical for positive youth outcomes, but rates of follow-up remain low, especially for racial/ethnic minoritized youth. Mobile crisis response can initiate care connection. The current study (1) describes the population who received mobile crisis response (MCR) within the nation’s largest county public mental health system, (2) assesses rates of follow-up outpatient services after MCR, and (3) examines racial/ethnic disparities in outpatient services and correlates of receipt of therapy dose (≥8 sessions). Method Administrative claims for MCR and outpatient services for youth ages 0 to 18 were abstracted from the Los Angeles County Department of Mental Health. Results From October 2016–2019, 20,782 youth received a MCR, 52.5% of youth were female, and youth mean age was 13.41 years. The majority of youth (91.8%) received some outpatient services after their first MCR. However, only 56.7% of youth received ≥1 therapy session. In a logistic regression, youth age, gender, race/ethnicity, primary language, primary diagnosis, insurance status, MCR call location, and MCR disposition significantly predicted receipt of ≥8 therapy sessions. Conclusions Findings highlight disparities in therapy receipt for Asian American Pacific Islander, Black, and White youth (relative to Latinx youth), older youth, youth whose MCR was initiated from a police station call, and youth whose MCR did not result in hospitalization. We discuss priorities for quality improvement for MCR processes and strategies to promote linkage to care to achieve mental health equity.

Response of Terrestrial Net Primary Production to Quadrupled CO2 Forcing: A Comparison between the CAS-ESM2 and CMIP6 Models.

Terrestrial net primary production (NPP) is a key carbon flux that changes with rising atmospheric CO2 and CO2-induced climate change. Earth system models are commonly used to investigate these NPP changes because of their fundamentally trustworthy ability to simulate physical climate systems and terrestrial biogeochemical processes. However, many uncertainties remain in projecting NPP responses, due to their complex processes and divergent model characteristics. This study estimated NPP responses to elevated CO2 and CO2-induced climate change using the Chinese Academy of Sciences Earth System Model version 2 (CAS-ESM2), as well as 22 CMIP6 models. Based on CMIP6 pre-industrial and abruptly quadrupled CO2 experiments, the analysis focused on a comparison of the CAS-ESM2 with the multi-model ensemble (MME), and on a detection of underlying causes of their differences. We found that all of the models showed an overall enhancement in NPP, and that CAS-ESM2 projected a slightly weaker NPP enhancement than MME. This weaker NPP enhancement was the net result of much weaker NPP enhancement over the tropics, and a little stronger NPP enhancement over northern high latitudes. We further report that these differences in NPP responses between the CAS-ESM2 and MME resulted from their different behaviors in simulating NPP trends with modeling time, and are attributed to their different projections of CO2-induced climatic anomalies and different climate sensitivities. These results are favorable for understanding and further improving the performance of the CAS-ESM2 in projecting the terrestrial carbon cycle, and point towards a need for greater understanding and improvements for both physical climatic processes and the terrestrial carbon cycle.

Transcranial alternating current stimulation ameliorates emotional attention through neural oscillations modulation

BackgroundNumerous clinical reports have suggested that psychopathy like schizophrenia, anxiety and depression is accompanied by early attentional abnormalities in emotional processing. Recently, the efficacy of transcranial alternating current stimulation (tACS) in changing emotional functioning has been repeatedly observed and demonstrated a causal relationship between endogenous oscillations and emotional processing.AimsUp to now, tACS effects on emotional attention have not yet been tested. To assess such ability, we delivered active-tACS at individual alpha frequency (IAF), 10 Hz or sham-tACS for 7 consecutive days in the bilaterally dorsolateral prefrontal cortex (dlPFC) to totally 79 healthy participants.ResultsIAF-tACS group showed significant alpha entrainment at-rest, especially in open state around stimulation area and showed an obvious advantage compared to 10 Hz-tACS. Event-related potential revealed a significant larger P200 amplitude after active-tACS and IAF group showed wider range of emotions than 10 Hz-tACS, indicating the attentional improvement in facial emotion processing. A notable positive correlation between alpha power and P200 amplitude provided an electrophysiological interpretation regarding the role of tACS in emotional attention modulation instead of somatosensory effects.ConclusionThese results support a seminal outcome for the effect of IAF-tACS on emotional attention modulation, demonstrating a feasible and individual-specific therapy for neuropsychiatric disorders related to emotion processing, especially regarding oscillatory disturbances.

Laser powder bed fusion of ultra-high-molecular-weight polyethylene/hydroxyapatite composites for bone tissue engineering

Laser powder bed fusion also known as selective laser sintering (SLS) or selective laser melting (SLM) has been proved to be a valuable manufacturing technique for implantable devices . Polymeric/ceramic biocomposites emerge as favourable materials for fabricating customized implants targeting bone tissue applications. However, improvements in processability and properties are still required. This work has investigated the use of different amounts of spray-dried hydroxyapatite (SDHA) particles in a polymeric matrix of ultra-high-molecular-weight polyethylene (UHMWPE), varying SLS processing parameters. Powder characteristics were assessed, the dimensional and mechanical properties of samples were measured, and preliminary in vitro assays were conducted. Biological results demonstrated the biocompatibility of the SLS fabricated samples, not inhibiting cell growth and supporting pre-osteoblast attachment. Nevertheless, a greater amount of SDHA has hindered the mechanical properties of samples, so a compromise must be found. • Assessment of SDHA and UHMWPE powder mixture for laser powder bed fusion process. • SDHA particles added to UHMWPE have facilitated the particle flow. • In vitro assays have shown that the fabricated samples are biocompatible. • SDHA can improve biological response but decreases mechanical properties.

Novel strategies for extraction, purification, processing, and stability improvement of bioactive molecules.

Bioactive molecules gain significance in pharmaceutical and nutraceutical industries for showcasing various beneficial biological properties including but not limited to anticancer, antimicrobial, antioxidant, antifungal, anti-inflammatory, cardioprotective, neuroprotective, and antidiabetic. However, the practice of using traditional approaches to produce bioactive molecules is gradually declining due to various limitations such as low product quality, high toxicity, low product yield, low efficiency, and product degradation. Thus, with the escalating demand for these bioactive molecules and active agents in food and other food-related industries, it has become a dire need for the scientific world to come up with novel approaches and strategies that cannot just improve the quality of these bioactives but also prepare them in a comparatively shorter time span. This review includes the latest approaches and techniques used either independently or in combinations for the extraction, purification, processing, and stability improvement of general bioactive molecules. Different parameters of these versatile techniques have been discussed with their effectiveness and work principles.

Processability improvement of laser-assisted micro-machining 95W-3.5Ni-1.5Fe alloy based on surface and subsurface characteristics

Laser-assisted micro-machining proves advantageous in improving the machinability of hard-brittle materials, but its effectiveness is easily weakened due to the uncertainty and complexity of microstructural transformation characteristics. In this research, a comprehensive investigation of the sustainable production mechanisms of tungsten heavy alloys was presented through recognizing the surface morphologies, subsurface microstructures, as well as micro-tool wear features, supported by the critical outcomes from single laser scanning (SLS) and laser-assisted micro-milling (LAMM) experimental tests. A laser thermal affected zone, which is composed mainly of surface oxide layer, near-surface softening layer, and subsurface metamorphic layer, was produced in laser heating. The relationship model between surface energy density and the thickness of laser thermal affected zone was determined. On this basis, a microstructure-based selection approach of the LAMM conditions, such as laser power and the depth of cut, was adopted to achieve a high-performance surface. Results indicated that a nanometer-level roughness surface, Sa = 57.03 nm, with no apparent residual thermal affected layer and newly generated subsurface damage layer were identified while suppressing flank wear. It is confirmed that the adaptability between the thickness of laser thermal affected layer and the depth of cut impacts LAMM sustainable production and justifies its application prospect.

PHB Processability and Property Improvement with Linear-Chain Polyester Oligomers Used as Plasticizers.

In 2021, global petroleum-based plastic production reached over 400 million metric tons (Mt), and the accumulation of these non-biodegradable plastics in the environment is a worldwide concern. Polyhydroxybutyrate (PHB) offers many advantages over traditional petroleum-based plastics, being biobased, completely biodegradable, and non-toxic. However, its production and use are still challenging due to its low deformation capacity and narrow processing window. In this work, two linear-chain polyester oligomers were used as plasticizers to improve the processability and properties of PHB. Thermal analyses, XRD, and polarized optical microscopy were performed to evaluate the plasticizing effect on the PHB and the reflection on the mechanical behavior. Both oligomers acted as PHB plasticizers, with a reduction in Tg and Tm as a function of the plasticizer concentration, which can make it easier to handle the material in thermal processing and reduce the probability of thermal degradation. Plasticizer 2 proved to be the most promising between the two with an optimized condition of 20%, in which there was a decrease in elastic modulus of up to 72% and an increase in the maximum elongation of 467%.

Simulation of Flow-Induced Vibration and Dynamic Performance of Circular-Arc Helical Gear Pump under Background of Machine Learning

At present, with the continuous development and great improvement of mechanical manufacturing, processing, and assembly technology, mechanical flow-induced vibration (FIV) with a relatively concentrated frequency domain can be controlled by active and passive noise reduction methods. However, whether it is active noise reduction or passive noise reduction, they all focus on how to suppress the transmission of sound waves and cannot solve the problems of flow leakage, obvious temperature rise, and noise excitation from the root cause. Therefore, it is necessary to determine the location of the primary and secondary excitation sound sources of FIV, the identification of true and false sounds, and the characteristic relationship between flow and noise. This provides a theoretical basis and engineering application direction for the mechanism of noise reduction of FIV. The numerical calculation part of the acoustics in this paper is solved by the hybrid method, and the flow field is discretely calculated by the large eddy simulation (LES) module in the Fluent software. When the calculated flow field is stable, the velocity field of one impeller rotation period is selected to be output as the iterative value of the sound field and imported into ACTRAN for Fourier transform. Then, the sound field calculation is carried out, and the result of the spatial and temporal variation of the sound field is finally obtained. Through experiments, it was found that when the load of the gear pump is 8 MPa, the volumetric efficiency of the optimized circular-arc helical gear pump of the sliding bearing was improved by about 4%. When the rotation speed is 2100°r/min, the arc helical gear pump reduced the surface temperature rise by 2.5°C. This verified that the optimized performance of the sliding bearing in the arc helical gear pump is significantly improved. Through the theoretical model of the temperature rise of the sliding bearing, the phenomenon that the surface temperature of the prototype gear pump was not significantly increased with the loading in the low pressure region is explained.

Parameter Extraction For Quantum Well DFB Lasers Based on 1D Traveling Wave Model

Extracting the parameters of a laser from the measured results is critical for laser design, modeling and optimization. This work presents a parameter extraction method for quantum well distributed feedback (DFB) lasers based on the one-dimensional traveling wave model (1D TWM). Facet reflectivities, grating coupling coefficient and the other parameters can be extracted by fitting the lasing spectrum, light-current (L-I) curve, intensity modulation (IM) response and large-signal chirp. During the extraction progress, the 1D TWM is simplified to improve the extraction efficiency. The feasibility of this extraction method is verified by extracting parameters from preset simulation results and experimental results, respectively. The 1D TWM can reflect the physical properties of the laser profoundly and the parameter extraction method based on 1D TWM will be a valuable tool for laser design, optimization or processing improvement.

Augmented Reality in Vascular and Endovascular Surgery: Scoping Review.

BackgroundTechnological advances have transformed vascular intervention in recent decades. In particular, improvements in imaging and data processing have allowed for the development of increasingly complex endovascular and hybrid interventions. Augmented reality (AR) is a subject of growing interest in surgery, with the potential to improve clinicians’ understanding of 3D anatomy and aid in the processing of real-time information. This study hopes to elucidate the potential impact of AR technology in the rapidly evolving fields of vascular and endovascular surgery.ObjectiveThe aim of this review is to summarize the fundamental concepts of AR technologies and conduct a scoping review of the impact of AR and mixed reality in vascular and endovascular surgery.MethodsA systematic search of MEDLINE, Scopus, and Embase was performed in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. All studies written in English from inception until January 8, 2021, were included in the search. Combinations of the following keywords were used in the systematic search string: (“augmented reality” OR “hololens” OR “image overlay” OR “daqri” OR “magic leap” OR “immersive reality” OR “extended reality” OR “mixed reality” OR “head mounted display”) AND (“vascular surgery” OR “endovascular”). Studies were selected through a blinded process between 2 investigators (JE and AS) and assessed using data quality tools.ResultsAR technologies have had a number of applications in vascular and endovascular surgery. Most studies (22/32, 69%) used 3D imaging of computed tomography angiogram–derived images of vascular anatomy to augment clinicians’ anatomical understanding during procedures. A wide range of AR technologies were used, with heads up fusion imaging and AR head-mounted displays being the most commonly applied clinically. AR applications included guiding open, robotic, and endovascular surgery while minimizing dissection, improving procedural times, and reducing radiation and contrast exposure.ConclusionsAR has shown promising developments in the field of vascular and endovascular surgery, with potential benefits to surgeons and patients alike. These include reductions in patient risk and operating times as well as in contrast and radiation exposure for radiological interventions. Further technological advances are required to overcome current limitations, including processing capacity and vascular deformation by instrumentation.

Имитационное моделирование развития Ванино-Совгаванского мультимодального транспортного узла

Purpose: Working-out of simulation model of multimodal transport node functioning to solve the problem of regional transport infrastructure development. Determination of the optimal ratio of technical and technological parameters of railway and sea port infrastructure, namely: technical parameters of MTN (Multimodal Transport Node) objects which determine their capacity in view of reliability of their functioning; processing time of applications (on cars, trains, ships, etc.) at each MTN object. Methods: Methodology for structural systems analysis, system theory, agent-based, discrete-event and system-dynamic modeling were applied. Results: Theoretical foundations for modeling methods are considered and the application of simulation modeling to solve the task of effective functioning of large transport systems in the conditions of uncertainty is substantiated. The simulation model of Vanino-Sovgavan multimodal transport node development was carried out to justify design decisions on change of MTN railway infrastructure oblique and capacity. The values of parameters at which the system can function smoothly in conditions of car traffic rise have been determined. Practical importance: The developed simulation model makes it possible to analyze the work of the key transport node of the Far East with the purpose of its effective and sustainable functioning. In addition, the model can be used to rationalize the work of existing transport nodes and to solve the issue of advanced development of a regional transport infrastructure, primarily, the Trans-Siberian and Baikal-Amur Mainlines, the Northern Sea Route, sea ports, border crossings and approaches to them in order to ensure production improvement for mining, processing and transportation of natural resources and realization of transit potential of Siberia, the Far East and the Arctic zone of Russia.

DIGITAL TRANSFORMATION THROUGH DATA-DRIVEN AND DATA-CENTRIC APPROACHES WITH ARTIFICIAL INTELLIGENCE

Data-driven approach emphasises on extracting information and insights from data into deducing the next course of action. Whilst data-centric approach focuses on exploiting domain knowledge based on existing data and their relationships into producing near accurate output. They serve as the key to the shipping industry’s transformation which defines innovations and the use of digital technologies to deliver processes, product quality, and organisational improvements. Digital transformation plays an important role in ensuring the industry remains competitive and efficient. This work reviews the potentials, and challenges of adopting the approaches. Case studies are explored at the UTM Marine Technology centre on the design, simulation and analysis tools, intelligent towing tank, AI and IoT technologies applications. They present significant impact on the existing processes and productivities with focus on the data collection, modelling, validation, and optimization. Therefore, the findings open a new venture into expanding the use cases, technologies, and processes improvements.

Effects of heat treatments on the properties of soymilks and glucono- δ – Lactone induced tofu gels

Optimal heat treatment of the soymilks is important to the production of tofu. In this study, soymilk with protein concentration of 40 mg/mL were heated at different temperatures for the fixed 50 s and were characterized by surface hydrophobicity, disulfide linked protein species determined by non-reducing SDS-PAGE and protein structural elements determined by the circular dichroism (CD). Tofu gels were prepared by acidifying the heated soymilks at 60 ℃ and 80 ℃ respectively and gelation time, gel mechanical properties as well as gel viscoelastic properties were determined by rheological analysis. The results showed that most soymilks’ properties except surface hydrophobicity changed rapidly when heating temperature was higher than 80 ℃. Gelation time, storage modulus (G') at the end of acidifying and cooling processes as well as retardation time (λ) and recovery rate of tofu gels were affected by the heat treatments of soymilks. The distances between the standardized data describing heated soymilks and tofu gels respectively were calculated and compared. It was found that gelation time, G' and λ were most closely related to disulfide bond linked polymer, [CD]222 and surface hydrophobicity respectively. This study will provide useful information to the improvement of tofu processing.

Airborne Elevation DBF-TOPS SAR/InSAR Method Based on LOS Motion Compensation and Channel Error Equalization

Digital beamforming (DBF) TOPS SAR in elevation is a new synthetic aperture radar (SAR) system, which has the advantage of wide swath coverage and a high signal-to-noise ratio (SNR). In this paper, considering the phase preservation demand for interferometric SAR (InSAR) processing, the complete processing chain for DBF-TOPS SAR/InSAR in elevation is proposed with a wide beam angle and channels’ amplitude and phase errors. Firstly, we analyze the airborne motion compensation method along the line-of-sight direction for TOPS SAR with squint angle. Furthermore, for the large-range beam angle of DBF, the sub-swaths division process is presented for the range-dependent radar look angle, and the sub-swaths division criterion is also given in the analytic expression. Then, the relative amplitude and phase errors’ estimation and compensation method between channels is provided in the range frequency domain based on the pivoting filter with coherence weighting, which is convenient for DBF processing and SNR improvement. Finally, the DEMs are generated under different conditions to compare the phase preservation performance. The effectiveness of the proposed processing chain is verified with both simulated data and airborne real DBF-TOPS SAR/InSAR data.

An Improved Python-Based Image Processing Algorithm for Flotation Foam Analysis

For industrial flotation foam image processing, accurate bubble size measurement and feature extraction are very important to optimize the flotation process and to improve the recovery of mineral resources. This paper presents an improved algorithm to investigate mineral flotation foam image segmentation for mineral processing. Several libraries implemented for the Python programming language are used for image enhancement and compensation, quantitative analysis of factors influencing the image segmentation accuracy, and suggestions for improvement of the flotation foam image processing. The bubble characteristics-size and morphology-and the influence of the flotation conditions on the flotation foam image are analyzed. A Python implementation of the Retinex image compensation method-region-adaptive and multiscale-is proposed to address known issues of uneven illumination and shadows affecting flotation foam images, thereby improving brightness uniformity. Finally, an improved version of the watershed segmentation algorithm included in the Python Open Source Computer Vision library is used for segmentation analysis. The accuracy of the flotation foam image segmentation is 3.3% higher than for the standard watershed algorithm and the segmentation time is 9.9% shorter.

Evaluation of a laser powder bed fusion designer Al-Mg-Zr-Si alloy for cold spray additive manufacturing

Metal additive manufacturing (AM) is a constantly developing approach utilized in many novel applications. Most metal AM techniques utilize alloys designed for traditional processing conditions, such as casting, whereas implementing alloys designed for AM may prove useful. Given the proven utility of the Al-Mg-Zr-Si Addalloy 5T® in melt-driven AM, this study investigated the use of this alloy in cold spray (CS), as minimal research has explored alloy design for use in solid-state processing. The as-atomized powder and CS samples were evaluated microstructurally and mechanically to determine suitability for CS. Premature brittle fracture were seen in the deposits, necessitating processing improvements for enhanced deposit performance. Feedstock thermal pre-processing was explored, guided by thermodynamic modeling, to improve spray-ability. Heat treatments resulted in generalized powder softening, suggesting improved processability using a CS gas-particle dynamics model. This model allowed for theoretical tuning of processing parameters, predicting improved deposition using a specific configuration with He gas. The through-process model-informed experimental approach emphasizes the potential of using Addalloy 5T® powder in CS when coupling heat treatment with processing parameter optimization. Results suggest that the CS community may benefit from alloy design specifically for solid-state processing, tailoring powder chemistry and microstructure for enhanced properties and processability.

Algal biorefinery culminating multiple value-added products: recent advances, emerging trends, opportunities, and challenges.

Algal biorefinery is rising as a prominent solution to economically fulfill the escalating global requirement for nutrition, feed, fuel, and medicines. In recent years,scientific productiveness associated with microalgae-based studies has elaborated in multiplied aspects, while translation to the commercial level continues to be missing. The present microalgal biorefinery has a challenge in long-term viability due to escalated market price of algal-mediated biofuels and bioproducts. Advancements are required in a few aspects like improvement in algae processing, energy investment, and cost analysis of microalgae biorefinery. Therefore, it is essential to recognize the modern work by understanding the knowledge gaps and hotspots driving business scale up.The microalgae biorefinery integrated with energy-based products, bioactive and green compounds, focusing on a circular bioeconomy, is urgently needed. A detailed investigation of techno-economic analysis (TEA) and life cycle assessment (LCA) is important to increase the market value of algal products. This review discusses the valorization of algal biomass for the value-added application that holds a sustainable approach and cost-competitive algal biorefinery. The current industries, policies, technology transfer trends, challenges, and future economic outlook are discussed. This study is an overview through scientometric investigation attempt to describe the research development contributing to this rising field.