Investigation on surface roughness, tool wear and cutting power in MQL turning of bio-medical Ti-6Al-4V ELI alloy with sustainability

Ti-6Al-4V ELI (Grade 23) is highly recommended for bio-materials and due to its low thermal conductivity and chemically reactive properties, machinability is poor. Thus the current work emphasized on the selection of appropriate cooling technique and optimal cutting parameters for machining of Ti-6Al-4V ELI alloy with sustainability analysis for surface roughness, flank wear and cutting power. Initially, the cutting performances under dry, flood and MQL environments are compared and MQL is observed to better performed. At lower speed (70 m/min), MQL exhibited 26.38% and 19.69% lesser surface roughness relative to dry and flood cooling individually. At the same cutting condition, MQL assisted cutting resulted in lower flank wear relative to dry (157. 33%) and flood cooling (40%). Further, a detailed investigation has been made under MQL through Taguchi L18 design of experiments. The major mechanisms for flank wear are found to be abrasion, chipping and notch wear. Optimal data set through Grey relational analysis is found to be v1 (70 m/min), f1 (0.1 mm/rev) and d1 (0.1 mm) and improved. Quadratic regression model is found to be significant for prediction of responses. Sustainability Pugh matrix assessment revealed that MQL environment enhanced the economical, technological as well as environmental and operator health aspects. Reduction of energy consumption by 53.96% and savings of carbon footprints by 68.46 kg of CO2 observed under MQL at optimal conditions and thus saves manufacturing cost.

Research on the Academic Impact of Sports in the Multidimensional Matrix Evaluation Framework

Sport trade frictions have continued to evolve and escalate, which has a great impact on sport academic cooperation. In order to objectively assess the impact of sports scholarship on China and provide evidence to support future changes in sports academic cooperation, this study takes 269,647 academic papers produced by sports alone from 2010–2018 as the research object and integrates explicit, implicit, and performance information contained in the paper output to construct a multidimensional matrix assessment framework. The horizontal dimension splits the collaborative research output into three mutually exclusive subsets: China-led collaborative research, sport-led collaborative research, and bisectional collaborative research; the vertical dimension systematically analyzes the characteristics of collaborative sport academic research in terms of participants, research content, and research level. The purpose of this study is to characterize the role and status of academic cooperation between the two countries through a long period, large sample, and multidimensional perspective, to make an objective assessment of the impact of academic cooperation between the two countries, and to provide evidence to support a reasonable response to the impact of changes in the relationship between the two countries on academic cooperation.

PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING UNTUK PERANGKINGAN KINERJA PEGAWAI TERBAIK DI STIKES GETSEMPENA LHOKSUKON

Employee performance appraisal in an institution is an absolute thing that needs to be done, where employees compete fiercely to get the best category in order to achieve a brilliant career in that agency. Every agency needs qualified, honest, educated, and disciplined employees to ensure good quality. Each agency has a different and selective way of determining good employees, this can also be a consideration for agency leaders to choose the best employee criteria so that they are worthy of being placed in strategic positions. From some of the descriptions above, this research needs to be carried out which aims to assist a leader in an institution in determining the best employees. This study applies the Simple Additive Weighting (SAW) method for decision making to rank the best employee performance. The steps taken are determining the criteria and attributes that will be the reference in the decision matrix assessment so that the final result obtained is the ranking of the best criteria and attribute values ​​that can help the leadership of an agency to make informed decisions in determining the best employees to be placed in strategic positions in these agencies.

An Initial Investigation Into the Feasibility of the Communication Matrix Professional Development Program for Educational Professionals Working With Students With Complex Communication Needs

Purpose The goal of this study was to investigate the initial feasibility of the Communication Matrix Professional Development Program (CMPDP), an online program created to help educational professionals teaching students with complex communication needs. Method A one-group pretest–posttest design was employed with 102 educational professionals and their students with complex communication needs. Students ( M age = 12.5 years, SD = 4.8 years) had severe expressive communication impairments characterized by an expressive vocabulary of < 10 words. The online CMPDP included webinars, coursework, and engagement with an online community of practice. We examined the students' expressive communication skills measured by the Communication Matrix Assessment and Individualized Education Program (IEP) goal quality measured by the Design to Learn IEP Goal Development Guide before and after their teachers and speech-language pathologists participated in the intervention. Results Students showed small but significant increases on the Communication Matrix Assessment. The average increase in scores was 10.6, z = 5.37, 95% confidence interval (CI; [6.65, 14.54]), Glass's delta = 0.37. The mean gain in scores for IEP quality was not significant (0.82, z = 2.43, 95% CI [0.14, 1.49], Glass's delta = 0.28). Conclusions Results demonstrate the initial feasibility of the CMPDP for educational professionals and their students with complex communication needs. Findings must be interpreted cautiously as the study design has methodological limitations including lack of a control condition and a potential for correlated measurement error and demand characteristics. Supplemental Material https://doi.org/10.23641/asha.16734553

CHARACTERIZATION OF AIRBORNE PARTICULATE MATTER TO ASSESS THE IMPACT ON DEGRADATION OF CULTURAL HERITAGE: THE TROPAEUM TRAIANI MONUMENT

The present paper is focused on the microclimatic investigation and weather-climatic phenomena matrix assessment, which can be generated for heritage objectives at different spatial and temporal resolutions, correlated with physicochemical analysis of the particulate matter (PM2.5-10). In the literature the importance of atmospheric PM monitoring in the proximity of monuments is not yet sufficiently highlighted. In this respect, the microclimatic investigation of the Tropaeum Traiani Monument (Adamclisi, Romania) was performed to assess the suitability of a closed environment, located outdoors, according to the conservation requirements of heritage materials. The monitoring campaigns (four seasons, e.g., from summer of the year 2018 to spring of the year 2019) were carried out by non-invasive measuring equipment. The collected data were used to investigate the hygrothermal and chemical behavior inside and outside of Tropaeum Traiani Monument, built in 109, to assess the risks on the oldest structural material. Principal component analysis (PCA) was performed by IBM SPSS Statistics software to assess the similarities between the microclimatic parameters.

Quantitative Analysis of Classroom Communication Environments for Learners With Deafblindness

Classroom environments were analyzed to better understand adult language modeling rates and whether teacher certification practices contributed to differences with learners with deafblindness (DB). Student characteristics were also examined in relation to communication rates. When there is a dual sensory loss, access to tactile and visual communication forms (i.e., multimodal) in addition to verbal communication is needed. Data were collected from 15 teacher–student dyads from four states through behavioral coding of videotaped language samples, teacher surveys, and the Communication Matrix assessment. Overall, teachers used verbal communication significantly more than additional classroom staff. Teachers in a state that required a severe/profound certification had significantly higher rates of overall communication, visual communication, and had students with higher communication levels.

Multi-Matrix Approach for the Analysis of Bicalutamide Residues in Oncology Centers by HPLC–FLD

Cytostatics are toxic pharmaceuticals, whose presence in surfaces puts healthcare workers at risk. These drugs might also end up in hospital effluents (HWW), potentially damaging aquatic ecosystems. Bicalutamide is a cytostatic extensively consumed worldwide, but few analytical methods exist for its quantification and most of them require advanced techniques, such as liquid chromatography mass spectrometry (LC-MS), which are very complex and expensive for large monitoring studies. Therefore, a simple but reliable multi-matrix high performance liquid chromatographic method, with fluorescence detection, was developed and validated to rapidly screen abnormal concentrations of bicalutamide in HWW and relevant contamination levels of bicalutamide in indoor surfaces (>100 pg/cm2), prior to confirmation by LC-MS. The method presents good linearity and relatively low method detection limits (HWW: 0.14 ng/mL; surfaces: 0.28 pg/cm2). Global uncertainty was below 20% for concentrations higher than 25 ng/mL (HWW) and 50 pg/cm2 (surfaces); global uncertainty was little affected by the matrix. Therefore, a multi-matrix assessment could be achieved with this method, thus contributing to a holistic quantification of bicalutamide along the cytostatic circuit. Bicalutamide was not detected in any of the grab samples from a Portuguese hospital, but an enlarged sampling is required to conclude about its occurrence and exposure risks.

The Graphical Representation of Cell Count Representation; a New Procedure for the Diagnosis of Periprosthetic Joint Infections

Aim: This study was designed to answer the question whether a graphical representation increase the diagnostic value of automated leucocyte counting of the synovial fluid in the diagnosis of periprosthetic joint infections (PJI). Material and methods: Synovial aspirates from 322 patients (162 women, 160 men) with revisions of 192 total knee and 130 hip arthroplasties were analysed with microbiological cultivation, determination of cell counts and assay of the biomarker alpha-defensin (170 cases). In addition, microbiological and histological analysis of the periprosthetic tissue obtained during the revision surgery was carried out using the ICM classification and the histological classification of Morawietz and Krenn. The synovial aspirates were additionally analysed to produce dot plot representations (LMNE matrices) of the cells and particles in the aspirates using the hematology analyser ABX Pentra XL 80. Results: 112 patients (34.8%) had an infection according to the ICM criteria. When analysing the graphical LMNE matrices from synovia cell counting, four types could be differentiated: the type “wear particles” (I) in 28.3%, the type “infection” (II) in 24.8%, the “combined” type (III) in 15.5% and “indeterminate” type (IV) in 31.4%. There was a significant correlation between the graphical LMNE-types and the histological types of Morawietz and Krenn (p < 0.001 and Cramer test V value of 0.529). The addition of the LMNE-Matrix assessment increased the diagnostic value of the cell count and the cut-off value of the WBC count could be set lower by adding the LMNE-Matrix to the diagnostic procedure. Conclusion: The graphical representation of the cell count analysis of synovial aspirates is a new and helpful method for differentiating between real periprosthetic infections with an increased leukocyte count and false positive data resulting from wear particles. This new approach helps to increase the diagnostic value of cell count analysis in the diagnosis of PJI.

METHODOLOGY FOR ASSESSING THE SAFETY LEVEL OF UNDERGROUND MINING WORKSITES

The article considers the current problems of assessing the technic and organiza-tional level of worksites of mining enterprises, necessary for the organizer of mining produc-tion to create safe working conditions when conducting underground mining. It is proposed to carry out such assessment by means of multiscaling and verbal-point ranking of evaluation factors by several gradations according to a set of workplace safety criteria, as well as identified hazards and the degree of risk of their impact on the worker's body. The proposed methods of this new procedure required by the Labor Code of the Russian Federation and the main methods of matrix assessment of occupational risks are shown.

Impact of COVID-19 on the Global Tourism Industry and Ways to Ensure High Competitiveness of the Territory in the Global Tourism Market after the Pandemic

Research background: The article analyzes the impact of the COVID-19 pandemic on the tourist competitiveness of St. Petersburg. In order to maintain sustainable tourist attractiveness after the end of the pandemic, the city will have to conduct a more thorough analysis of the factors influencing the choice of St. Petersburg among other competing tourist centres. Purpose of the article: The purpose of this article is to identify competitive priorities of territories that are attractive for tourism activities in the conditions of recovery from the crisis that arose due to restrictive measures applied due to the coronavirus pandemic. Methods: To achieve this goal, the article uses a modified SWOT analysis apparatus with the use of a matrix assessment methodology implemented on the basis of a modified methodology of the Hierarchy Analysis Method and the calculation of marginal replacement coefficients for criteria of tourist attractiveness and competitiveness of the territory after the pandemic. Findings & Value added: For the analysis, a new approach is proposed to obtain the characteristics of the city assessment for different categories of tourists, which significantly increases the accuracy and strategic prospects of the classical procedure of SWOT analysis. As a scientific growth, we can consider the use of matrix estimation mechanisms for a more rational ranking of factors, more accurately determining probability and weight characteristics. Therefore, this will provide higher accuracy of strategic recommendations for the city for each important category of tourists.