Processing Steps Research Articles

Fabrication-related impurity study of thin superconducting Al films using x-ray absorption spectroscopy

Superconducting aluminum thin films are integral to many astrophysics detector applications. Using x-ray absorption spectroscopy (XAS), we have studied the residues and adsorbates created during various standard lithography and etch steps, which are commonly used to pattern thin aluminum films into device structures. We have observed the formation of aluminum oxide as α-Al2O3 and aluminum fluoride as β-AlF3. We have observed correlations between these XAS signatures and the Al film’s microwave loss due to two-level systems. This study, which guides the way for future device optimization, further explores the chemical impact of different process steps, including standard silicon substrate wafer cleaning processes, sulfur-hexa-fluoride plasma etching, passivation with a fluorocarbon, and exposure to photoresist adhesion promoters during the lithography process with the help of control samples.

A Guideline for Local Elderly Policy Development in Thailand

In previous local elder policy research, most studies were fragmented with only some subjects or some steps in the policy process and attention to the local policy process not included explicitly. This article aims to analyze Thai local elderly policy formulation, implementation and evaluation and to propose guidelines for Thai local elderly policy development. This was a qualitative study. Data were collected using in-depth interviews with 40 key informants from 5 local case studies and 8 national organizations, as well as observations and documentary studies. Data were analyzed using thematic analysis and analytic induction. For the policy content dimensions, the guidelines of policy content development of the case studies aim to make senior citizens happy, self-sufficient, and physically and mentally healthy. The means to achieve this are comprised of the following:1) an economic, career, and income stability dimension; 2) a health dimension; and 3) a social dimension. For the policy process dimensions, the guideline of policy formulation comprises of the following: the related national policy dimension, including developing the mindset of policy actors, developing the content of policies with clarity that is up-to-date and congruent with key agreements or related principles, and developing a participation process and communication of the policy. The local policy dimension is locally aged society strategic planning based on strategic management and objectives and key results (OKRs) derived from the results of data analysis, integration of public policy theory, resource-based view in strategic management theory, and objective and key results to reduce the limitations of the public policy theory and model. This comprises developing policy actors’ mindsets, competencies, and motivations, collecting information, creating participation for analyzing and formulating direction, and making local elderly society strategic plans. The guidelines of policy implementation comprise the following: creating knowledge and understanding, organizing a central organization, implementing a strategic plan, formulating strategies for implementing and integrating amicable coordination of networks, seeking and allocating tangible and intangible resources, developing competencies of local government personnel, network partners, and target groups, creating and developing a culture supporting the aged society, and creating internal and external motivation. The guidelines of policy evaluation comprise the following: the development of the evaluation competency, the growth and ethical mindset, and the development of a participatory local policy evaluation system. Based on the results of this study, the guidelines focus on the intangible resources, the internal motivation, the mindset of policy actors, the coordination and strength of networks, and the upper-level policy factors.

Impact of a Bundle of Interventions on the Spectrum of Parenteral Drug Preparation Errors in a Neonatal and Pediatric Intensive Care Unit

Background/Objectives: This study aimed to evaluate the impact of a bundle of interventions on the error rates in preparing parenteral medications in a neonatal and pediatric intensive care unit (NICU/PICU). Methods: We conducted a prospective interventional study in a NICU/PICU in a tertiary university hospital as a follow-up to a prior study in the same setting. A clinical pharmacist and a pharmacy technician (PT) analyzed the workflow of drug preparation on the ward, identified high-alert medications, and defined a bundle of five interventions, which include the following: Drug Labeling: 1. EN ISO-DIVI labeling; Training: 2. Standardized preparation process on the ward; 3. eLearning Program; 4. Expert Consultations; and Location of Preparation: 5. Transfer of the preparation of high-alert medications and standardized preparations to the central pharmacy. After implementing the bundle of interventions, we observed the preparation process on the ward to evaluate if the implementation of the interventions had an impact on the quality of the drug preparation. Results: We observed 262 preparations in the NICU/PICU. Each single step of the preparation process was defined as an error opportunity. We defined seven error categories with an overall error opportunity of 1413. In total, we observed 11 errors (0.78%). The reduction in the overall error rate from 1.32% in the former study to 0.78% per preparation opportunity demonstrated that the implemented interventions were effective in enhancing medication safety. Conclusions: This study provides evidence that a bundle of interventions, including standardizing drug labeling, enhancing training, and centralizing the preparation of high-alert medications, can reduce medication errors in NICU/PICU settings.

Considerations for the safe handling and processing of unstable materials

AbstractWe evaluate the instability hazards of initiators, monomers, and other unstable materials during storage and handling in individual containers, pallets of containers, and storage and process vessels. We propose a simplistic model to analyze the temperature–time profile of an unstable chemical, given heat transfer from/to the environment, heat generation due to decomposition and other reaction kinetics, and heat generated from auxiliary equipment (e.g., agitators/mixers, pumps, vessel jackets). Lumped capacitance‐based heat transfer and decomposition kinetics are integrated to predict self‐accelerating decomposition temperature (SADT), self‐accelerating polymerization temperature (SAPT), and the temperature profile given exposure conditions (e.g., ambient temperature and additional sources of heat). Case studies related to the storage and processing of unstable liquid monomers (i.e., methyl methacrylate, MMA), and organic peroxides, (i.e., tert‐butyl peroxybenzoate, TBPB), are presented. We also provide recommendations on determining safe storage and processing temperatures and steps to prevent emergency situations and include an overview of thermal analysis and data treatment procedures which might affect chemical process safety recommendations.

Human Mastication Analysis-A DEM Based Numerical Approach.

Mastication is an essential and preliminary step of the digestion process involving fragmentation and mixing of food. Controlled muscle movement of jaws with teeth executes crushing, leading towards fragmentation of food particles. Understanding various parameters involved with the process is essential to solve any biomedical complication in the area of interest. However, exploring and analyzing such process flow through an experimental route is challenging and inefficient. Computational techniques such as discrete element numerical modeling can effectively address such problems. The current work employs the Discrete Element Method (DEM) as a numerical modeling technique to simulate the human mastication process. Tavares and Ab-T10 breakage models coupled with Gaudin Schumann and Incomplete Beta fragment distribution models have been implemented to analyze the fragmental distribution of food particles. The effect of particle shape (spherical, polyhedron, and faceted cylinder), size (aspect ratio), and orientation (vertical and horizontal) on breakage and fragment distribution is analyzed. To account for the elastic-plastic behavior and moisture content in food particles, modifications has been made in breakage models by incorporating numerical softening factor and adhesion force. The study demonstrates how numerical modeling techniques can be utilized to analyze the mastication process involving multiple process parameters.

Investigation of students' use of online information in higher education using eye tracking

To successfully learn using freely available (and non-curated) Internet resources, university students need to search for, critically evaluate and select online information, and verify sources (defined as Critical Online Reasoning, COR). Recent research indicates substantial deficits in COR skills among higher education students. To support students in learning how to critically use online information for their learning, it is necessary to better understand the strategies and practices that might elicit less critically-reflective judgments about online information and thus account for such deficits. To this end, using eye tracking data, we investigate how the COR behaviors of students who critically-reflectively evaluate the credibility of online information (‘high performers’) differ from those of students who do not critically-reflectively evaluate it (‘low performers’): 19 students were divided into high and low performers according to their performance in the newly developed Critical Online Reasoning Assessment (CORA). The fixation and dwell times of both groups during CORA task processing were compared regarding time spent on the different processing steps and eye movements on the visited web pages. The results show noticeable differences between the two groups, indicating that low performers indeed approached the task rather heuristically than systematically, and that COR skills require targeted and effective training in higher education.

Copper-catalyzed plastic waste synthesized graphene nanosheets/polypyrrole nanocomposites for efficient thermoelectric applications

Presently, various catalysts have been reported for the synthesis of carbon nanomaterials from a variety of plastic waste, which needs to be removed at the end of the synthesis process by using chemical techniques and hence make the process more typical from the aspect of cost-benefit and circular economic aspects. Herewith, we report copper turnings as the cost-effective and greener catalytic templates for synthesizing highly conducting graphene nanosheets (GNs). The synthesis of the GNs from plastic waste was done as we previously reported in the steps of the pyrolytic process, where the copper turnings are used as catalytic templates in the present study. Because of the excellent catalytic efficiency towards breaking old carbon-carbon bonds and forming new carbon-carbon bonds, the copper turnings act as an excellent degradation catalyst and promote the growth of graphitic skeletons and, consequently, graphene nanosheets. The synthesized GNs showed a high conductivity of ∼ 1730 S/m. GNs thus synthesized is implemented for synthesizing GNs/polypyrrole nanocomposites, which is later investigated for the TE applications. The values of the Seebeck coefficient showed that the composite of GNs/polypyrrole performs as a p-type semiconductor. The TE figure of merit (ZT) for GNs/polypyrrole demonstrated good thermoelectric characteristics and showed a value of 3.75 × 10−6 at the temperature. Thus, the present method of synthesis of GNs showed a more convenient, industrial friendly technique for the production of plastic waste derived graphene nanosheets and its application for thermal energy conversion applications.

Impact of the asylum determination process on mental health in the UK and EU+: a systematic review and thematic synthesis

IntroductionPeople seeking asylum are at increased risk of mental health difficulties due to premigration and postmigration experiences. The objective of this review was to understand how asylum determination process in...

How to simulate dissociative chemisorption of methane on metal surfaces

The dissociation of methane is not only an important reaction step in catalytic processes, but also of fundamental interest. Dynamical effects during the dissociative chemisorption of methane on metal surfaces cause significant differences in computed reaction rates, compared to what is predicted by typical transition state theory (TST) models. It is clear that for a good understanding of the catalytic activation of methane dynamical simulations are required. In this paper, a general blueprint is provided for performing dynamical simulations of the dissociative chemisorption of methane on metal surfaces, by employing either the quasi-classical trajectory or ring polymer molecular dynamics approach. If the computational setup is constructed with great care–since results can be affected considerably by the setup – chemically accurate predictions are achievable. Although this paper concerns methane dissociation, the provided blueprint is, so far, applicable to the dissociative chemisorption of most molecules.

Multivalent nanobody engineering for enhanced physisorption and functional display on gold nanoparticles.

The ease of expression and engineering of single domain antibodies, known as nanobodies, make them attractive alternatives to conventional antibodies in point-of-care diagnostics such as lateral flow assays. In lateral flow assays, gold nanoparticle bioconjugates serve as labels which display affinity molecules on the gold surface. While examples of nanobody gold nanoparticle bioconjugates exist, few utilise the simple one-step approach of physisorption owing to undesirable nanoparticle aggregation and loss of functionality. Here we show that engineering nanobodies into multivalent structures can significantly enhance their functionality when physisorbed onto gold nanoparticles. This approach enables resulting bioconjugates to withstand multiple processing steps required for long-term nanoparticle storage within lateral flow assays. Specifically, we show that the trivalent version of VHHV nanobody (VHH3) against the S1 protein of SARS-CoV-2 can be immobilised onto gold nanoparticles through passive adsorption. Unlike its monovalent and bivalent nanobody counterparts, using VHHV3 preserves nanoparticle stability under salt stress, blocking, washing, and freeze-drying conditions while maintaining picomolar sensitivity to the S1 protein. We anticipate that this facile strategy is a significant advancement towards the integration of nanobodies in lateral flow assay development.

Calendula Flowers (Calendulae officinalis flos): Methods to Obtain Fractions of Biologically Active Substances

INTRODUCTION. The pharmaceutical industry aims at developing sustainable resource-saving technologies for manufacturing medicines. Approaches to the effective use of herbal drugs include applying technologies yielding compounds with various pharmacological effects in one production cycle. To date, no standardised herbal drug processing technology has been designed to produce calendula flower-based medicinal products with various pharmacological effects. The Member States of the Eurasian Economic Union (EAEU) process calendula flowers by extraction methods yielding one fraction of biologically active substances per cycle (either only flavonoids or only carotenoids).AIM. This article aimed to investigate the possibility of stepwise processing of calendula flowers to obtain biologically active substances with different polarities (carotenoids, flavonoids, and polysaccharides) per cycle.MATERIALS AND METHODS. The authors extracted carotenoids using hexane. The study included additional thermal pretreatment of the herbal drug. Carotenoids and flavonoids were quantified by spectrophotometry, and polysaccharides were quantified by gravimetric analysis. After hexane removal, the dry oily residue was dissolved in oil with mechanical stirring to obtain the oil extract. The study included a three-step processing method that comprised hexane extraction (extraction of carotenoids with a low-polarity organic solvent), extraction with a water–organic solvent system (extraction of flavonoids), and aqueous extraction (precipitation of polysaccharides).RESULTS. The lipophilic extracts obtained by single hexane extraction or by single hexane extraction and heat treatment had the maximum carotenoid content (~4%), which was 10 times the carotenoid content in the extracts obtained using a water– organic solvent system. Oil extracts were prepared from the dry residue left after removing hexane by distillation at its boiling point. The content of biologically active substances in the oil extracts was comparable to that in the intact herbal drug. Water–organic solvent extraction yielded 68.5% more flavonoids from the herbal drug extracted with hexane than from the intact herbal drug. In contrast, aqueous extraction applied to the intact herbal drug yielded 1.7 times the amount of flavonoids obtained by aqueous extraction preceded by hexane extraction. The water-soluble polysaccharide fraction extracted from the intact herbal drug had 10 times the flavonoid content observed in the fraction extracted from the processed herbal drug. Each subsequent processing step decreased the total polysaccharide content and the content of individual polysaccharide fractions and increased their purity. The ratio of polysaccharide fractions remained unchanged across all processing methods tested.CONCLUSIONS. Stepwise processing of calendula flowers ensured that one processing cycle provided three fractions containing increased amounts of carotenoids, flavonoids, and polysaccharides. Relative to the intact herbal drug, there was a 3.3-fold increase in the yield of carotenoids, and the yields of flavonoids and polysaccharides increased by 44.8 and 41.3%, respectively. The resulting product had a higher degree of purity than the products obtained by pretreatment and double hexane extraction or by using the intact herbal drug. The stepwise processing method is advisable for the production of medicines that are enriched with a specific group of biologically active substances or contain smaller amounts of impurities.

Shared decision-making in the treatment of bipolar disorder: findings from a nationwide naturalistic cohort study in everyday clinical practice.

Shared decision-making (SDM) is of increasing importance in mental health care, however, large studies on the effects of SDM in bipolar disorder (BD) are scarce. To gain insight into the relationships between SDM, guideline concordance of treatments in everyday practice, satisfaction with care, and medication adherence in BD. In a nationwide observational study on the treatment of BD, patients were asked questions about their involvement in treatment. These questions were clustered according to the three-talk model (TTM) for SDM, which involves team talk, option talk, and decision talk. A composite concordance score for multimodal treatments was made, and satisfaction with care (score 1 to 10) and medication adherence (DAI-10) were measured. 839 patients with BD from various outpatient treatment centers were included. Patients were highly involved in decision-making. In multiple regression, team talk was significantly positively associated with guideline concordance (b = 5.10, p = .045), and decision talk was positively associated with satisfaction with care (b = 0.82, p < .001) and medication adherence (b = 1.18, p = .003). Positive associations were found between SDM, guideline concordance, satisfaction with care, and medication adherence, suggesting that investing in these steps of the decision-making process together with patients and their significant others, will help to improve quality of care.

In Situ Unraveling Surface Reconstruction of Ni‐CoP Nanowire for Excellent Alkaline Water Electrolysis

The surface reconstruction behavior of transition metal phosphides precursors is considered as an important method to prepare efficient oxygen evolution catalysts, but there are still significant challenges in guiding catalyst design at the atomic scale. Here, the CoP nanowire with excellent water splitting performance and stability is used as a catalytic model to study the reconstruction process. Obvious double redox signals and valence evolution behavior of the Co site are observed, corresponding to Co2+/Co3+ and Co3+/Co4+ caused by auto‐oxidation process. Importantly, the in situ Raman spectrum exhibits the vibration signal of Co–OH in the non‐Faradaic potential interval for oxygen evolution reaction, which is considered the initial step in reconstruction process. Density functional theory and ab initio molecular dynamics are used to elucidate this process at the atomic scale: First, OH− exhibits a lower adsorption energy barrier and proton desorption energy barrier at the configuration surface, which proposes the formation of a single oxygen (–O) group. Under a higher –O group coverage, the Co–P bond is destroyed along with the POx groups. Subsequently, lower P vacancy formation energy confirm that the Ni‐CoP configuration can fast transform into a highly active phase. Based on the optimized reconstruction behavior and rate‐limiting barrier, the Ni‐CoP nanowire exhibit an excellent overpotential of 1.59 V at 10 mA cm−2 for overall water splitting, which demonstrates low degradation (2.62%) during the 100 mA cm−2 for 100 h. This work provide systematic insights into the atomic‐level reconstruction mechanism of transition metal phosphides, which benefit further design of water splitting catalysts.

Steel Plate Cutting Path Optimisation Problem Based on Euler's Theorem and Greedy Algorithm

Steel plate cutting as one of the key technologies in the field of machining, planning the optimal path and reducing the air distance can improve the cutting efficiency of the steel plate, and improving the cutting efficiency is the most critical step in the machining process. In this paper, we analyze the main reasons for the generation of empty paths and make the assumption of cutting the whole part at once while cutting the part. On this basis, Euler's theorem and greedy algorithm are used to find the proximal point of the cutting path from the outer contour to the inner contour, and to plan the optimal path and the resulting shortest air distance for a given cutting of the outer contour of the serrated steel plate as well as the cutting of different shapes of parts in the inner part of the serrated steel plate. The resulting shortest air travel distance is 31.5536 by matlab.

Static Correction of Passive-Source Seismic Reflection Exploration on Undulating Surfaces

Elevation static correction is an important step in seismic data processing used to eliminate distortions in events caused by surface fluctuations. There is a well-established processing sequence for active-source seismic data, with static correction applied first, followed by subsequent processing. For passive-source data, static correction can be carried out using two methods. The first method is similar to the static correction of active-source seismic data and involves performing static correction on virtual shot gathers. The second method involves directly applying static correction to ambient noise and then using the corrected ambient noise to retrieve the virtual shot gathers. In this study, we derived and compared these two methods to perform static correction on passive-source data. We compared the above two methods through the forward modeling of passive-source data and field data from the Daqiao Gold Mine. The results showed that applying static correction to ambient noise and virtual shot gathers can correct passive-source data from an undulating surface to a flat surface. The equivalence of static correction on virtual shot gathers, and ambient noise offers more choices for conducting static correction of passive-source seismic reflection exploration on undulating surfaces.

Embodiment Consciousness in Music Performance Pedagogy

The acquisition of expertise in music performance and its pedagogy, depends on, beyond specific musical skills, employing resources from other fields of knowledge and considering sensory, motor, and affective capacities at each step of the music learning process. We studied the teaching practices of three expert clarinet teachers to investigate their didactic procedures, evaluating how those practices could be related to their students’ high levels of performance. The method gathered data from a “protocol joint analysis” and semi-structured interviews with teachers and their students. Data analysis revealed a particular set of pedagogical skills observed in the didactic procedures of these expert teachers. These teaching strategies were common to all three case studies and revealed themselves as a last didactic resource to overcome complex problems at the highest level of proficiency in musical interpretation. We call that pedagogical expertise field Embodiment Consciousness in Music Performance. This field of competence describes the systematic didactic use of metaphor to access performers’ sensorimotor and affective memories, whose semantic contents can thereby be accessed to support performance actions.

Potassium Hydroxide Extraction of Polyphenols from Olive Leaves: Effect on Color and Acrylamide Formation in Black Ripe Olives

Olive leaves are generated in large quantities in olive oil and table olive factories. This waste is currently used for multiple purposes, one of them being the extraction of bioactive substances, in particular phenolic compounds. The aims of this study were (i) to obtain a new polyphenolic extract from potassium hydroxide (KOH) -treated olive leaves; and (ii) to reduce acrylamide formation in black olives by using this extract. The results showed that olive leaves and leafless branches of the Manzanilla cultivar treated with 10 g/L KOH provide a solution that, concentrated under vacuum, had &gt;6000 mg/L hydroxytyrosol and &gt;2000 mg/L of hydroxytyrosol 4-glucoside. Moreover, the residual material generated after the treatment with KOH could be used for agronomic purposes, due to its high potassium content. The employment of this non-bitter extract during the darkening step of black ripe olive processing then resulted in darker fruits with higher potassium content. Likewise, the addition of the extract into the packing brine reduced the acrylamide formation by up to 32%, although this effect was batch-dependent. KOH olive extract could be useful for the reduction in acrylamide in black ripe olives along with the enrichment of this product in phenolic compounds and potassium.

Investigating the combined influence of rolling, ECAP processes, and intermediate annealing on mechanical and microstructural properties of beryllium copper alloy 25

A beryllium copper alloy 25 underwent a series of processing steps involving rolling, equal-channel angular pressing (ECAP), and subsequent annealing. This study delved into the combined effects of these processes on the microstructural evolution and mechanical properties of the deformed beryllium copper alloy 25. The investigation utilized optical microscopy, scanning electron microscopy, transmission electron microscopy, room temperature Vickers hardness testing, and tensile testing. The findings reveal a notable enhancement in the strength of the beryllium copper alloy 25 while preserving its ductility after subjecting it to six ECAP passes followed by annealing at 210 °C for 20 min, applied to the rolled sample. Initially, an increase in number of ECAP passes resulted in a gradual reduction in grain size and a weakening of the alloy's texture. This led to an increase in ultimate tensile strength up to 333.5% without reducing in percentage elongation. Notably, after six ECAP passes, the average grain size decreased from 48 µm to less than 1 µm, yielding exceptional comprehensive mechanical properties with significantly improved strength and plasticity. The resultant material exhibits promising potential for fabrication into bars and plates for a wide range of applications in aerospace and marine industries.

Accelerating Laser Powder Bed Fusion: The Influence of Roller-Spreading Speed on Powder Spreading Performance

The powder spreading process is a fundamental element within the laser powder bed fusion (PBF-LP) framework given its pivotal role in configuring the powder bed. This configuration significantly influences subsequent processing steps and ultimately determines the quality of the final manufactured part. This research paper presents a comprehensive analysis of the impacts of varying spreading speeds, which are enabled by different roller configurations, on powder distribution in PBF-LP. By utilizing extensive Discrete Element Method (DEM) modelling, we systematically examine how spreading speed affects vital parameters within the spreading process, including packing density, mass fraction, and actual layer thickness. Our exploration of various roller configurations has revealed that increasing spreading speed generally decreases packing density and layer thickness for non-rotating, counter-rotating, and forward-rotating rollers with low clockwise rotational speeds (sub-rolling) due to powder dragging. However, a forward-rotating roller with a high clockwise rotational speed (super-rolling) balances momentum transfer, enhancing packing density and layer thickness while increasing surface roughness. This configuration significantly improves the uniformity and density of the powder bed, providing a technique to accelerate the spreading process while maintaining and not reducing packing density. Furthermore, this configuration offers crucial insights into optimizing additive manufacturing processes by considering the complex relationships between spreading speed, roller configuration, and powder spreading quality.

Electrochemical immunosensor based on gold nanoparticles for the detection of creatine kinase as a cardiac marker

This study presents the development of an electrochemical immunosensor utilizing gold nanoparticles for the detection of creatine kinase (CK), a crucial cardiac marker. Gold nanoparticles with an average diameter of 18.3 ± 2.1 nm were synthesized and characterized, exhibiting a characteristic surface plasmon resonance peak at 520 nm. The construction of the immunosensor was observed through cyclic voltammetry and electrochemical impedance spectroscopy, showing notable alterations in electron transfer rates during each step of the assembly process. Optimal performance was achieved at pH 7.4, with an antibody concentration of 100 μg/mL and an incubation time of 45 minutes. The sensor demonstrated a sensitivity of 152.6 Ω/(ng/mL) and maintained its response in the presence of common interfering substances, with maximum signal deviation of 7.2 %. Testing with spiked human serum samples yielded recovery rates between 96.5 % and 103.8 %. Comparison with ELISA using clinical samples further validated the sensor's accuracy. This AuNP-based immunosensor offers a promising platform for rapid and sensitive CK detection in cardiac health assessment.