Analysis Procedure Research Articles

The Transformation of Shape Movement Structure in the Drawings of Wasma Al-Agha

Formal formations, linear arrangements, variations in spaces, color contrasts, proximity and spacing between shapes, and even the repetition of shapes in some cases, and differences in sizes, make the painting a full-fledged compositional dimension. Therefore, we find through that importance a pressing need to conduct a study that sheds light on an important aspect of the formation represented by the experience of the artist Wasma Al-Agha. From this starting point, the researcher found a logical justification to address the subject of this research, to study and deepen the idea of shape movement and its relationship to the paintings of the artist Wasma Al-Agha. Through the foregoing, the researcher was able to formulate the following question: To what extent does the structure of shape movement transform in the drawings of Wasma Al-Agha?As the current research aims to understand the mechanisms of formation, types of shapes, and their movement in the drawings of the artist. Therefore, the researcher relied on the descriptive-analytical method (descriptive analysis) due to its suitability for the subject of the current study and what it allows for in terms of analysis procedures in order to achieve the research goal. The sample was selected using the intentional selection method for the representative sample of the research community, where the researcher identified his research models (3) models from the original community. Also the research came out with a set of results, the most important of which are: The artist tried to represent a sad and dramatic story of the suffering of immigrants in the Iraqi provinces, as in sample number (1). She relied on her own style in embodying the shapes to convey the scene with an illusory movement of the shapes, like an old inherited novel that she tells through colors and shapes, as in all the samples. As for the research Conclusions: 1. The artist relied on multiple pure colors that express a festive dimension that evokes joy in the viewer's soul. She depicted the Baghdadi scene that was repeated in all her paintings and her representation of the Iraqi woman as an old inherited novel that she tells through colors and shapes.

Evolution of Auditing Experimental Research and Contemporary Topics in Auditing

The field of auditing is concerned with providing auditing services, which is an independent and systematic process of assessing and improving the financial health of a company or agency. This manuscript describes the development of experimental auditing research and points out recent lines of investigation. The sources of this article are various experimental audit studies published globally between the 1970s and 2000s. The nature of experimental audit research (REP), the growth of REP internationally, current topics in REP, and the evolution of REP in Indonesia are the sections of this article. REPs that can be developed in the future include how to present audit information, fraud assessment, analytical procedures, interactions between auditors and clients (negotiations and agreements), and interactions between auditors (brainstorming). This is based on research on various REPs conducted at the international level.

Propagation of Modelling Uncertainties for Seismic Risk Assessment: The Effect of Sampling Techniques on Low-Rise Non-Ductile RC Frames

ABSTRACT Quantifying the impact of modelling uncertainty on seismic performance assessment of existing buildings is non-trivial when considering the partial information available on material properties, construction details, and the uncertainty in the capacity models. This task is further complicated when uncertainty related to ground motion representation is considered. To address this issue, record-to-record variability, uncertainties in structural model parameters, and fragility model parameters due to limited sample size are propagated herein by employing a nonlinear dynamic analysis procedure based on recorded ground motions. A one-to-one sampling approach is adopted in which each recorded ground motion is paired up with a different structural model realization. Uncertainty propagation is explored by measuring the impact of different sampling techniques, such as Monte Carlo simulation with standard random sampling and Latin Hypercube sampling (with Simulated Annealing) in the presence of three alternative nonlinear dynamic analysis procedures: Incremental Dynamic Analysis (IDA), Modified Cloud Analysis (MCA), and Cloud to IDA (a highly efficient IDA-like procedure). This is all illustrated through application to an existing reinforced-concrete school building in southern Italy. It is shown that with a small subset of records, both MCA and Cloud to IDA can provide reliable structural fragility (and risk) estimates for three considered limit states, comparable to the results of more resource-intensive schemes.

A formative evaluation to inform integration of psychiatric care with other gender-affirming care

BackgroundTransgender, non-binary, and/or gender expansive (TNG) individuals experience disproportionately high rates of mental illness and unique barriers to accessing psychiatric care. Integrating TNG-specific psychiatric care with other physical health services may improve engagement, but little published literature describes patient and clinician perspectives on such models of care. Here we present a formative evaluation aiming to inform future projects integrating psychiatric care with physical health care for TNG individuals.MethodsIn this qualitative pre-implementation study, semi-structured interview guides were developed informed by the Consolidated Framework for Implementation Research to ensure uniform inclusion and sequencing of topics and allow for valid comparison across interviews. We elicited TNG patient (n = 11) and gender-affirming care clinician (n = 10) needs and preferences regarding integrating psychiatric care with other gender-affirming clinical services. We conducted a rapid analysis procedure, yielding a descriptive analysis for each participant group, identifying challenges of and opportunities in offering integrated gender-affirming psychiatric care.ResultsParticipants unanimously preferred integrating psychiatry within primary care instead of siloed service models. All participants preferred that patients have access to direct psychiatry appointments (rather than psychiatrist consultation with care team only) and all gender-affirming care clinicians wanted increased access to psychiatric consultations. The need for flexible, tailored care was emphasized. Facilitators identified included taking insurance, telehealth, clinician TNG-competence, and protecting time for clinicians to collaborate and obtain consultation.ConclusionsThis health equity pre-implementation project engaged TNG patients and gender-affirming care clinicians to inform future research exploring integration of mental health care with primary care for the TNG community and suggests utility of such a model of care.

Short communication: Inverse correlation between radiation damage and fission-track etching time on monazite

Abstract. In this study, we explored the impacts of radiation damage and chemical composition on the etching time of fission tracks in monazite. Despite the potential of monazite fission-track (MFT) dating as an ultralow-temperature thermochronology, the comprehensive effects of radiation damage and non-formula elements, especially on the etching rate of MFTs, remain unexplored, and established analytical procedures are lacking. We quantified the degree of radiation damage (ΔFHWM) in Cretaceous to Quaternary monazites distributed in the Japan arc through Raman spectroscopy and chemical composition analyses. Subsequently, MFT etching was performed to examine the correlation between these parameters and the etching time. Estimation of the degree of radiation damage showed an increase in radiation damage corresponding to the cooling age of each geological unit. For example, the Toya ignimbrite (ca. 0.1 Ma) and the Kurobegawa granodiorite (< 0.8 Ma), both of which are types of monazite from Quaternary geological units, have ΔFHWM values of 0.27 and 0.55 cm−1, respectively. In contrast, the Muro ignimbrite (ca. 15 Ma) has a ΔFHWM value of 4.01 cm−1, while the Kibe granite and the Sagawa granite, both of which are Cretaceous granitoids, yielded 7.35 and 6.31 cm−1, respectively. MFT etching of these samples according to the existing recipe (6 M HCl at 90 °C for 60–90 min) was completed at 1200, 860, 210, 120, and 90 min for the Toya ignimbrite, Kurobegawa granodiorite, Muro ignimbrite, Sagawa granite, and Kibe granite, respectively. These outcomes highlight an inverse relationship between MFT etching time and the degree of radiation damage in monazite, while the correlation between MFT etching time and chemical composition was unclear. The results affirm earlier considerations that the etching rate of MFTs is strongly influenced by radiation damage. Conversely, young samples with lower levels of radiation damage exhibit higher chemical resistance, suggesting that existing etching recipes may not adequately etch MFTs.

SAR-based dynamic information retrieving of the Beijing-Tianjin-Hebei flood-inundation happened in July 2023, North China

Climate change-induced rainfalls have elevated the likelihood of flood occurrences, disrupting severely the normal functioning of people. Especially in the geographically unique Beijing-Tianjin-Hebei (BTH) plain in north China, an unanticipated sudden and long-duration flood-inundation happened in the summer of 2023 (referred to as the ‘23.7’ BTH flood). To address the dynamic information and recreate the flood evolution, we constructed a flood retrieving and analysis procedure to elucidate the development process and its impacts. First, accurately extract the temporal inundation extent of floods. Subsequently, we implemented the selected knowledge-driven algorithm to retrieve the dynamic information of flood evolution, including inundation extent, water depth, and shortest inundation duration. Furthermore, hazard-bearing bodies like cultivated land, population, and buildings were analyzed to improve our understanding of the flood impact. We uncovered that the ‘23.7’ BTH flood had caused extensive inundation and notably affected the Daqing River System, where the flood breached the river bank and submerged both buildings (0.96 km2) and cultivated land (241.46 km2), and led to prolonged inundation in the Baiyangdian area, which persisted for up to 30 days. This disastrous event highlights the great requirements to boost upstream flood storage capacity and enhance preparedness and rapid response capabilities for abnormal floods.

How Do Male Celebrity Endorsers Promote Women's Makeup Products?

This research aims to identify the marketing strategies used by Social Media Influencer objects, namely the Tiktok media @azkhategar391 along with testimonials on the media, collaboration products and Follower informants, in influencing consumer behavior, against the background of significant changes in marketing paradigms and gender perceptions in modern society. Using qualitative research methods with a cyber phenomenology approach, using a simple design with Triangulation Theory and data collection techniques through observation, interviews and documentation, analyzed using Manual Data Analysis Procedures (MDAP). Findings show that being an effective celebrity endorser requires three main aspects: credibility , attractiveness, and celebrity likability, which play an important role in building consumer trust. Transparent testimonials from celebrity endorsers can increase consumer buying interest. Other factors that contribute to changes in consumer behavior include consumer trend analysis, consumer preferences, market segmentation, consumer loyalty, and purchasing decisions.

Automated design of embedded digital signal processing systems on SOC platform

The object of the study is the procedures for automated design and analysis of digital signal processing algorithms on the SoC technology platform. The subject of the study is models, methods and procedures for designing and optimal selection of SoC components for the implementation of digital signal processing algorithms for audio spectrum. The aim of the study is to develop models and procedures for determining the possibilities of a compromise distribution of signal processing algorithm computations in the cycle of computer-aided design on the SoC technology platform in terms of performance and the feasibility of using hardware and software algorithms realization. The article solves the following tasks: consideration of the procedures for interacting the processor core with programmable logic as part of system-on-chip systems; development of procedures for computer-aided design and analysis of signal processing systems using programming languages and hardware description languages for the implementation of embedded systems. The following methods are being used: implementation of digital signal processing algorithms in the C programming language and high-level synthesis tools for realizing IP blocks, diagnostic experiment by generating test signal patterns, and analysis of the processing results at the system output. The results achieved. Based on the analysis of the procedures for the interaction of the processor core and programmable logic on the selected SoC platform, a model of the audio spectrum signal processing system is designed. The practical implementation was performed based on the Vivado/Vitis/Vitis HLS CAD tool stack. The proposed model was verified using a programmable test signal generator and analyzing the obtained characteristics of digital filters at the system output. Conclusions. The article analyzes the principles of designing embedded information processing systems implemented in system-on-chip. The principles of building and analyzing digital signal processing systems based on system-on-chip containing programmable logic and processor parts are considered. The developed methods have been tested on the algorithms of CIC and FIR filters on the technological platform of SoC FPGA of the ZYNQ-7000 family of Xilinx company.

Fast Determination of Fat-soluble Vitamins in Pharmaceutical Preparations by High-Performance Liquid Chromatography

Background: Vitamins are needed for the healthy functioning of the body. When these vitamins are not in sufficient amounts in the body, they are usually taken externally with pharmaceutical preparations. Taking vitamins into the body in the right amounts is possible by analyzing the amounts in pharmaceutical preparations with validated methods. Methods: In this study, a fast, simple, easily applicable, and selective normal-phase HPLC method was developed for the simultaneous determination of fat-soluble A, D3, E, and K1 vitamins in pharmaceutical preparations from syrup and tablets. Separation of the vitamins was carried out on a Zorbax CN column (250 x 4.6 mm, 5 µm) using a mixture of hexane-isopropyl alcohol (98:2, v/v) at 30°C column temperature and 1 ml/min flow rate. The detection wavelength is 280 nm. The developed method has been validated according to ICH Harmonised Tripartite Guideline Validation of Analytical Procedures: Text and Methodology Q2(R1) rules. Results: Calibration graphs are linear over the range of 10-1000 µg ml-1 , 1-50 µg ml-1 , 10-2000 µg ml-1 , 0.5-20 µg ml-1, and the limit of detection values were found to be 1.496, 0.280, 1.388 and 0.040 µg ml-1 for A, D3, E and K1 vitamins, respectively. Relative standard deviation values, which express within-day and between-day repeatability, were found below 2.54%. Average recovery values were also found at about 100.28, 101.46, 100.65, and 100.29% for A, D3, E, and K1 vitamins, respectively Conclusion: The developed and validated method was successfully applied to the simultaneous analysis of fat-soluble vitamins A, D3, E, and K1 in pharmaceutical preparations in syrup and tablet form.

Molecular Analysis of Volatile Metabolites Synthesized by Candida albicans and Staphylococcus aureus in In Vitro Cultures and Bronchoalveolar Lavage Specimens Reflecting Single- or Duo-Factor Pneumonia

Current microbiological methods for pneumonia diagnosis require invasive specimen collection and time-consuming analytical procedures. There is a need for less invasive and faster methods to detect lower respiratory tract infections. The analysis of volatile metabolites excreted by pathogenic microorganisms provides the basis for developing such a method. Given the synergistic role of Candida albicans in increasing the virulence of pathogenic bacteria causing pneumonia and the cross-kingdom metabolic interactions between microorganisms, we compare the emission of volatiles from Candida albicans yeasts and the bacteria Staphylococcus aureus using single and mixed co-cultures and apply that knowledge to human in vivo investigations. Gas chromatography–mass spectrometry (GC-MS) analysis resulted in the identification of sixty-eight volatiles that were found to have significantly different levels in cultures compared to reference medium samples. Certain volatiles were found in co-cultures that mainly originated from C. albicans metabolism (e.g., isobutyl acetate), whereas other volatiles primarily came from S. aureus (e.g., ethyl 2-methylbutyrate). Isopentyl valerate reflects synergic interactions of both microbes, as its level in co-cultures was found to be approximately three times higher than the sum of its amounts in monocultures. Hydrophilic–lipophilic-balanced (HLB) coated meshes for thin-film microextraction (TFME) were used to preconcentrate volatiles directly from bronchoalveolar lavage (BAL) specimens collected from patients suffering from ventilation-associated pneumonia (VAP), which was caused explicitly by C. albicans and S. aureus. GC-MS analyses confirmed the existence of in vitro-elucidated microbial VOCs in human specimens. Significant differences in BAL-extracted amounts respective to the pathogen-causing pneumonia were found. The model in vitro experiments provided evidence that cross-kingdom interactions between pathogenic microorganisms affect the synthesis of volatile compounds. The TFME meshes coated with HLB particles proved to be suitable for extracting VOCs from human material, enabling the translation of in vitro experiments on the microbial volatilome to the in vivo situation involving infected patients. This indicates the direction that should be taken for further clinical studies on VAP diagnosis based on volatile analysis.

Innovative eco-friendly stability-indicating HPLC-PDA method for simultaneous determination of the emerging antiviral drugs against COVID-19 infection molnupiravir and favipiravir; degradation kinetic studies along with LC-MS based structure elucidation

The adoption of the principles of green chemistry in analytical procedures lowers the negative influence on both people and the environment, which presently has become the key goal. Additionally, the need for advanced analytical techniques for the simultaneous determination of antiviral combinations is highly recommended, one of those novel combinations that recently proved effective emerging antiviral drugs in the treatment of SARS-COV-2 is molnupiravir (MOL) and favipiravir (FAV). Therefore, the establishment of simple and precise stability-indicating HPLC-PDA method for their simultaneous determination is crucial for the probable co-formulation. The stability of MOL was studied along with FAV after forced degradation of both under different stress conditions Separation of MOL, FAV, and their corresponding degradation products was achieved by simple isocratic HPLC-PDA method using a mobile phase comprised of 25.0 mM phosphate buffer (pH 3.0 ± 0.05) − methanol (70:30, v/v) at flow rate 1.0 mL/min. A Zorbax C18 (250 × 4.6 mm, 5 μm; Agilent Technologies, USA) column was used for the separation of the components and the column oven was maintained at 30 °C, the selected wavelength for detection of both analytes and their degradation products was 230.0 nm. The method was linear over the range of 1.0 – 200.0 µg/mL for both MOL and FAV. MOL was found to be susceptible to all forced degradation conditions, namely, acid, alkali, oxidative, thermal, and photodegradation while FAV was susceptible only to acid, alkali, and oxidative degradation. The probable degradation mechanisms were assumed through the evaluation of the MS1 fragmentation pattern of the degradation products, also studying the kinetic behavior of the degradation reactions. Furthermore, the greenness profile for the proposed method was evaluated utilizing the new Complementary Green Analytical Procedure Index method (ComplexGAPI), and analytical greenness (AGREE) metrics with a score of the later one equals to 0.61 that indicated the greenness evaluation of the method. In addition, the new blue applicability grade index (BAGI) which is complementary to the green metrics showed a score of 85.0 that presents a good applicability potential of the method. The proposed method is the first sustainable, stability-indicating method developed for the simultaneous determination of this potential combination that would help in manufacturing both drugs in a fixed-dose drug combination.

PANAMA-enabled high-sensitivity dual nanoflow LC-MS metabolomics and proteomics analysis

High-sensitivity nanoflow liquid chromatography (nLC) is seldom employed in untargeted metabolomics because current sample preparation techniques are inefficient at preventing nanocapillary column performance degradation. Here, we describe an nLC-based tandem mass spectrometry workflow that enables seamless joint analysis and integration of metabolomics (including lipidomics) and proteomics from the same samples without instrument duplication. This workflow is based on a robust solid-phase micro-extraction step for routine sample cleanup and bioactive molecule enrichment. Our method, termed proteomic and nanoflow metabolomic analysis (PANAMA), improves compound resolution and detection sensitivity without compromising the depth of coverage as compared with existing widely used analytical procedures. Notably, PANAMA can be applied to a broad array of specimens, including biofluids, cell lines, and tissue samples. It generates high-quality, information-rich metabolite-protein datasets while bypassing the need for specialized instrumentation.

Exploration of novel solid-phase extraction modes for analysis of multiclass emerging contaminants

Solid-phase extraction (SPE) has gained an essential role in environmental analytical chemistry. Classic off-line SPE coupled with LC-MS/MS systems creates powerful analytical procedures for ultratrace analysis of contaminants of emerging concern (CECs) in water. But, being associated with tedious work and large consumption of materials, alternative SPE modes are becoming interesting. As so, the study focuses on development, evaluation, and overall comparison of established and novel SPE modes. Off-line SPE, dispersive micro SPE (DMSPE), and ‘fast’ single-pump on-line SPE were explored, using commercially available sorbents. Their efficiency was evaluated on their performance in water analysis of 20 multiclass CECs.Hydrophilic-lipophilic sorbent and mixture of C18/C8 sorbents were the best choice for off-line and DMSPE, respectively. All optimized SPE modes coupled with UHPLC-MS/MS reached environmentally-relevant limits of detection (LODs 0.1−12 ng L‒1), acceptable repeatability (< 20% RSD), and exhibited less than ±30% matrix effects in real river water sample. Among all, on-line SPE showed a potential to fully replace the well-established off-line SPE and even improve analytical performance. This was due to the best repeatability (< 10% RSD), automatization, simplicity, the highest multiplexing capacity, as well as com-parable LODs of < 2 ng L‒1. DMSPE is, on the other hand, the most innovative and could be seen as a quick and green alternative to off-line SPE for determination of semi- to non-polar CECs, but within sub-10 ng L‒1 range.Overall, the study shows workflow for the exploration of important and promising sample pretreatment techniques in water analysis. Comparison of the developed three SPE-UHPLC-MS/MS methods suggests that alternative SPE modes can compete with the well-established off-line SPE and can even improve the analysis quality if properly applied.

Research-based Analytical Procedures to Evaluate Diabetic Biomarkers and Related Parameters: In Vitro and In Vivo Methods.

The degenerative tendency of diabetes leads to micro- and macrovascular complications due to abnormal levels of biochemicals, particularly in patients with poor diabetic control. Diabetes is supposed to be treated by reducing blood glucose levels, scavenging free radicals, and maintaining other relevant parameters close to normal ranges. In preclinical studies, numerous in vivo trials on animals as well as in vitro tests are used to assess the antidiabetic and antioxidant effects of the test substances. Since a substance that performs poorly in vitro won't perform better in vivo, the outcomes of in vitro studies can be utilized as a direct indicator of in vivo activities. The objective of the present study is to provide research scholars with a comprehensive overview of laboratory methods and procedures for a few selected diabetic biomarkers and related parameters. The search was conducted on scientific database portals such as ScienceDirect, PubMed, Google Scholar, BASE, DOAJ, etc. Conclusion: The development of new biomarkers is greatly facilitated by modern technology such as cell culture research, lipidomics study, microRNA biomarkers, machine learning techniques, and improved electron microscopies. These biomarkers do, however, have some usage restrictions. There is a critical need to find more accurate and sensitive biomarkers. With a few modifications, these biomarkers can be used with or even replace conventional markers of diabetes.

Extracting information from the cutting force signal to explain and exploit its discrepancy between up and down slot milling at the same chip thickness

In milling, different cutting forces can occur at the same undeformed chip thickness depending on process kinematics and feed. To clarify and exploit this phenomenon, which has not been reported in the technical literature, the cutting force was recorded during full-width orthogonal milling. The latter process was chosen as the same undeformed chip thickness is developed at certain tool rotation angles and at different feeds, thus allowing the exploration of the effect of these parameters on the cutting force. Using analytical methods to describe the cutting kinematics, the exact rotation angle of the tool corresponding to its engagement with the workpiece was calculated. In addition, the precise relationship between chip thickness and occurring cutting force in up and down slot milling at various feeds was determined. Herein, for increasing the accuracy, the tool path was considered as trochoidal rather than circular. In addition, analytical methods were developed to calculate the cutting force direction, shear angle and chip compression ratio. The measurements of the deformed chip thickness over the deformed chip length verified the assumptions and correctness of the developed analytical procedures. Additionally, based on a FEM simulation of the developed stress fields during material removal, the stress field depth parameter ds was introduced. Using ds and the calculated direction of the cutting force towards the instantaneous workpiece surface, regions of effective material strengthening or weakening were detected within the developing stress field during up and down milling respectively, which change the cutting force. In this way, the discrepancies between the cutting forces occurring in up and down milling at the same undeformed chip thickness and various feeds were clarified and process conditions were proposed to exploit them to reduce cutting loads and energy requirements.

Innovative disposable pipette extraction for concurrent analysis of fourteen psychoactive substances in drug users’ sweat

Widespread consumption of drugs of abuse worldwide has caused concern: it adversely affects public health, individual safety, and social structures. Experts are particularly alarmed because new psychoactive substances have been increasingly detected in biological samples. In recent years, several studies have focused on developing methods to identify psychoactive substances in alternative biological matrices, such as sweat. This approach holds promise for monitoring substance use, especially in individuals undergoing rehabilitation. Among the commonly employed analytical procedures, extraction using disposable DPX tips stands out as a novel, miniaturized, and promising technique. This study aimed to validate and to apply a method to analyze various substances, including amphetamine, methamphetamine, MDMA, MDA, MDEA, cocaine, cocaethylene, anhydroecgonine methyl ester, dibutylone, N-ethylpentylone, 25E-NBOMe, 25CNBOMe, 2CC, 2C-E, fentanyl, and carfentanil, in sweat samples simultaneously. In this method, sweat is collected by using laboratory-developed patches, and extraction is conducted with DPX-SCX tips. Gas chromatography coupled to mass spectrometry is employed to separate, to identify, and to quantify the analytes. Validation results indicated that the quantification limit ranged from 2 to 30 ng of analyte/patch, and that the method was linear for analyte concentrations ranging from 2 to 1100 ng/patch. The validated method was applied to analyze 30 sweat samples collected from volunteers drug users and processed by using both the selected ion mode (SIM) and full scan. The method was able to detect and to quantify substances such as cocaine, cocaethylene, anhydroecgonine methyl ester, MDMA, MDA, nicotine, cotinine, caffeine, procaine, lidocaine, and ethylamphetamine simultaneously. The recovery rates ranged from 72.4 % to 97.1 %. The analytes were stable in the biological matrix. In conclusion, the validated method proved effective and allowed the target analytes to be quantified in sweat samples, highlighting that sweat is a viable matrix for analyzing drugs of abuse.

Meander Structure Analysis Techniques Using Artificial Neural Networks

Typically, analyses of meander structures (MSs) for transfer characteristics are conducted using specialized commercial software based on numerical methods. However, these methods can be time-consuming, particularly when a researcher is seeking to perform a preliminary study of the designed structures. This study aims to explore the application of neural networks in the design and analysis of meander structures. Three different feedforward neural network (FFNN), time delay neural network (TDNN), and convolutional neural network (CNN) techniques were investigated for the analysis and design of the meander structures in this article. The geometric dimensions or top-view images of 369 different meander structures were used for training an FFNN, TDNN, and CNN. The investigated networks were designed to predict such electrodynamic parameters as the delay time (td), reflection coefficient (S11), and transmission coefficient (S21) in the 0–10 GHz frequency band. A sufficiently low mean absolute error (MAE) was achieved with all three methods for the analysis of MSs. Using an FFNN, the characteristic td was predicted with a 3.3 ps average MAE. The characteristic S21 was predicted with a 0.64 dB average MAE, and S11 was predicted with a 2.47 dB average MAE. The TDNN allowed the average MAEs to be reduced to 0.9 ps, 0.11 dB, and 1.63 dB, respectively. Using a CNN, the average MAEs were 27.5 ps, 0.44 dB, and 1.36 dB, respectively. The use of neural networks has allowed accelerating the analysis procedure from approximately 120 min on average to less than 5 min.

Novel eco-friendly spectrophotometric determination of lercanidipine hydrochloride in tablets using methyl red

The aim of the work was to develop a simple, eco-friendly, quick, affordable and alternative spectrophotometric procedure that uses the azodye methyl red (MR) for the determination of lercanidipine in its dosage form considering the “green” chemistry principles. Materials and methods. Analytical equipment: Shimadzu UV-1800 double beam UV-visible spectrophotometer (Japan) with included UV-Probe 2.70 software, RAD WAG AS 200/C precise analytical balance (Poland), Elmasonic EASY 40H ultrasonic bath. Lercanidipine hydrochloride (purity 99 %) was purchased from Jiyan Chemicals (India). Lercanidipine tablets 10 mg and 20 mg were used in our experiments. Results and discussion. To determine the amount of lercanidipine in tablets, a spectrophotometric method has been developed. To select the best dye for the method development, we tested a variety of dyes, including MR, bromocresol purple, bromophenol blue, cresol red, bromocresol green and bromothymol blue. We selected MR as the reagent based on the experimental studies' outcomes, and the solvent was an acetonitrile and ethanol mixture with a ratio of 95 to 5. The optimal parameters were determined for the quantitation of lercanidipine in tablets utilizing MR with 5×10-5 mol/L of dye concentration, 0.5 ml of MR solution, at a temperature of 25 °C without heating; detection wavelength was 498 nm and reaction time of 5 min. By using the molar ratios (saturation) method and Job's (continuous variations) approach, the stoichiometric coefficients of reacting components involving lercanidipine and dye were established to be 1:1. The proposed spectrophotometric procedure was linear within the concentration ranging from 6.48 – 32.41 μg/mL. Using the least squares method, a regression equation was generated: y = 0.0208x – 0.0318. The correlation coefficient was higher than 0.999, indicating that the analytical procedures' linearity is acceptable; the limit of detection and limit of quantitation were 1.19 μg/mL and 3.62 μg/mL, respectively. The robustness, accuracy and precision of the study results fell within acceptable limits. The proposed method was successfully applied to determine the content of lercanidipine in its tablet dosage forms. The analysis of the method's "greenness" using AGREE and GAPI tools yielded excellent results. Conclusions. The method that has been developed can serve as an alternative approach for the routine control of lercanidipine content in its tablets

호텔 조직의 Y세대와 Z세대 간 세대갈등 및 관계회복의 의미

The purpose of this study is to unveil the meanings of generational conflict and relationship recovery experiences between Gen Y and Gen Z hotel employees. To this end, this study adopted the phenomenological research method of Giorgi (1985) to answer the following research questions: 1) What are the meanings of their generational conflict experiences at hotels? 2) What are the meanings of their relationship recovery experiences at hotels? The data were collected through in-depth interviews of those working at domestic hotels for at least a year. The data analysis followed an advanced five-step analysis procedure of Giorgi et al. (2017). The results revealed 12 themes, 43 meaning units, and 388 meaningful statements. First, the themes of Gen Y’s generational conflict experiences were ‘Gen Z has a free spirit’, ‘the different levels of passions and professionalism in the service field’, and ‘loneliness that no one recognizes.’ Second, the themes of Gen Z’s generational conflict experiences were ‘Gen Y are young boomers’, ‘feeling frustrated by demands for excessive service mind’, and ‘painful emotions that make me cry but hold back tears.’ Third, the themes of Gen Y’s relationship recovery experiences were ‘relationship recovery is an extension of work,' ‘I’m holding back because Gen Z is still young’, and ‘I try my best but cannot embrace everything.’ Fourth, the themes of Gen Z’s relationship recovery experiences were ‘relationship recovery is an essential choice,' ‘I was at a loss, but I felt reassured and calm’, and ‘efforts to approach first are a self-growth opportunity.’ This study provides fundamental data and in-depth insights into Gen Y and Gen Z hotel employees by exploring the meanings of their generational conflict and relationship recovery experiences.

Parametric Study on the Buckling of Unbraced Steel Frames under Fire Situation

A parametric investigation of several unbraced steel frames with regular and irregular geometry subjected to elevated temperatures is carried out in this study to determine the most accurate procedure and buckling lengths to be considered during the structural design under a fire situation. In such conditions, the stiffness and strength of steel decrease considerably due to high temperatures, and uncertainty remains in the application of the fire design rules of Eurocode 3 Part 1-2 (EN 1993-1-2) for unbraced frames as no information is given regarding the treatment of the deformed geometry (the so-called second-order effects). More precisely, it is unclear in the norm whether the verification based on the buckling length concept could be used or if a second-order analysis to calculate the internal forces is sufficient to ensure the stability of the frame in case of fire. Based on the linear buckling analysis of the steel frames accounting for the temperature development during a fire, recommendations for the appropriate buckling lengths to be used are given. Finally, it is demonstrated that using the recommended buckling lengths together with the design rules of EN 1993-1-2 leads to results in favor of safety when compared to the results obtained with the finite element method. On the other hand, it is concluded that using second-order internal forces and the real length of the columns as the buckling length, as suggested for room temperature design, yielded results outside safety when compared with the finite element method, and this analysis and verification procedure should not be used for the case of fire.