Real Performance Research Articles

Differentiable sampling based efficient architecture search for automatic fault diagnosis

Intelligent diagnosis on rotating machinery has developed rapidly, but different methods have fluctuating performance and fussy design, causing poor effect in practical applications. Thus, it would be great to automatically generate the optimal method for given diagnosis tasks, as differentiable neural architecture search (DNAS) does. However, three challenges severely restrict DNAS methods in industrial scenarios: 1) vibration signals are multi-scale and non-stationary; 2) huge memory cost by supernet-based search is unsuitable to practical diagnosis; 3) manual architecture derivation causes performance collapse between architecture search and practical diagnosis. Thus, we propose Differentiable Sampling based Efficient Architecture Search (DS-EAS), which generates architecture by differentiable sampling. First, the operator involution is introduced to adaptively extract critical features from noisy signals. Second, Gumbel Max-Softmax is adopted to forward sample and backward propagate the gradient on single sub-architecture at one iteration, alleviating huge memory cost. Third, progressively pruning is proposed to eliminate manual discretization error, leading to the final architecture with zero operators. Based on the searched architecture, a deeper one is built to test its real performance. Traction motor experiment is performed to discuss the performance of DS-EAS on three different sample cases. Compared with other state-of-the-art methods, outperformance of DS-EAS is successfully verified.

Credit Risks Management Practices, And Performance of Real Estate Construction Housing Projects in Kenya; A Case of Real Estate Construction Housing Projects in Busia County

Purpose: The purpose of this study was to establish how credit risk management practices influence performance of Real Estate Construction Housing projects in Busia County.
 Methodology: The data for this study was collected using questionnaires, focus group discussions and interview schedules. Data was analyzed using descriptive and inferential statistics. Descriptive statistics involved quantitative data analysis therefore it used measures of central tendencies such as frequency, percentage, and mean standard deviation, composite mean and composite standard deviation, while inferential statistics involved testing of research hypotheses using spearman correlation and regression analysis.
 Findings: During data analysis the study found that credit risk influences performance of real estate construction housing projects in Busia County; implying that using the Likert scale, the respondents agreed that credit risk influences performance of real estate construction housing projects in Busia County. The overall correlation coefficient for credit Risk Management and Performance of real estate construction housing projects in Busia County was found to be 0.580 with a p-value of 0.000 < 0.05 implying that from the views of participants in the study the results indicated that there was a significant relationship between Credit Risk Management and Performance of real estate construction housing projects in Busia County; leading to rejection of the null hypothesis and acceptance of the alternative hypothesis. The simple linear regression coefficients as well as the Pearson correlation results indicated that there was significant influence of Credit risk management on Performance of real estate construction housing projects in Busia County.
 Unique Contribution to Theory, Policy and Practice: The study contributed the theory that revealed that past statistics show that higher interest rates on credit have not necessarily misguided real estate total return performance but property performance has often remained resilient in the face of rising rates. The study also informed the practice that real estate development is a capital intensive investment and thus developers have to explore alternative sources of capital which can be affordable to them. Finally, the study informed the policy makers that to deliver the high numbers of affordable housing units required, the process of land and real estate transactions needs to be much faster.

Study on the anchoring performance and failure mechanism of basalt/glass hybrid fiber reinforced plastic anchors in coupled environment

AbstractTo investigate the real anchorage performance of basalt and glass hybrid fiber reinforced plastic (FRP) anchors in external corrosive environments. In this paper, a combination of experimental studies and finite element analysis was used. By carrying out pull‐out tests of basalt and glass hybrid FRP anchors under the synergistic effect of freeze–thaw cycles and alkaline environment, the effects of factors such as hole diameter, anchorage length, and mortar strength on their anchorage performance and durability were investigated. Critical corrosion time was introduced to determine the degree of corrosion of the anchor rods. After that, it combined with numerical simulation to reveal the degradation mechanism of the anchorage performance of hybrid anchors. The results showed that the best anchorage performance of basalt/glass hybrid FRP anchors was achieved when the hole diameter was 24 mm, the anchorage length was 175 mm, and the mortar strength was 45.5 MPa. The ultimate pull‐out load was up to 122.16 kN. When the time did not exceed the critical corrosion time, the ultimate load‐carrying capacity of basalt and glass hybrid FRP anchors increased by 9.3% compared to the uncorroded environment. Beyond the critical corrosion time, the ultimate load‐carrying capacity was reduced by 23.3% and the anchorage performance was degraded. In addition, the contact interface between the anchor and the mortar is the weak area of the anchoring structure, which should be focused on in the later design of the actual project.Highlights Basalt/glass hybrid FRP anchors have good corrosion resistance. The anchoring performance of hybrid FRP anchors under the coupled environment is studied. Hole diameter and anchoring length have more influence on the anchor performance. The concept of critical corrosion time is put forward. The failure mechanism and coupling environment influence are revealed by FES.

A Correlation Study between EFL Students’ Learning Styles and their Academic Performance

Learning style is an effective and a natural process in which learners begin with what they already know or feel or read. Real learning cannot take place randomly. It is based on effective steps to learn something new. This will lead to use the new content and participate in how it might work in real life. Learners are also required to creatively take what they have learned beyond the classroom. This final step moves students out of the class into their real performance. According to the learning process, each student will have a place in the learning cycle where he or she is most comfortable and can contribute the most excellent work. Even though different students prefer different places in the cycle, it is important for all students to go through each of the steps in the cycle. Learning styles approach works best within a system that focuses on self-control, intrinsic rewards and self-expression. Working with learning styles, you may find that you naturally move toward a student-centered discipline approach that encourages student self-responsibility. Students usually differ in their ways of learning. Each student can understand the subject in the way he can and interpret. There are so many external factors that affect leaning. Some of them are environmental and social. Others are psychological related to age, motivation, individual differences etc.The present study aims at investigating the correlation between learning styles of EFL college students and their academic performance.The sample consists of thirty student-teachers from Department of English / College of Education for Humanities/ University of Tikrit. The instrument of the study is a learning style questionnaire that is adapted from O Brien (1985). Results show that there is a positive relationship between students' styles and their academic performance. Based on the results gained, specific recommendations are put forward.

Spectral Characterization of Two-Photon Interference between Independent Sources

We present a spectral characterization of two-photon nonclassical interference on a beam splitter (BS) between a weak coherent state source and another source, which emits a phase-randomized weak coherent state, a single-photon state, or a thermal state. Besides spectral characteristics, the average photon number ratio in a given time interval is also considered in our model. The two-photon coincidence probability of two outputs of the BS is numerically calculated with spectral bandwidth ratio and average photon number ratio. Furthermore, the noise of the detection system is taken into account. This also indicates that two-photon interference is able to significantly improve by subtracting two-photon contributions from the input state. All these parameters have a close relation to a real experiment performance and the results may pave new avenues for quantum information technology when two-photon interference between independent sources is necessary.

Measurement of engine performance and maps-based emission prediction of agricultural tractors under actual operating conditions

This paper develops a comprehensive data collection system (CDCS) based on radio frequency identification (RFID) technology, on-board diagnostic system (OBD), and portable emission measurement system (PEMS) to study the performance of tractors in the real world. The actual operating modes, fuel consumption and emission levels of the tractor engine were studied and the braking thermal efficiency (BTE) under actual operating conditions was reported for the first time, with a maximum value close to 45%. The engine maps were developed and used to predict tractor emissions and fuel consumption, and the results showed that it can accurately predict tractor fuel consumption and carbon dioxide (CO2) emissions, with mean absolute percentage error (MAPE) and coefficient of determination (R2) values reaching over 90%. This article provides a reliable testing and prediction method for the actual performance of tractor engines, and suggests that real performance indicators should be given better attention.

Recycling sulfidic spent caustic streams using a sulfide/air fuel cell

It is urgent to develop a green and cost-efficient process to recycle the resources and energy from spent caustic streams. We develop an energy-free strategy to recover sulfur, caustic, and energy from spent caustic streams in the meantime. Two-electron route sulfide oxidation reaction and four-electron route oxygen reduction reaction are combined to run as an abiotic sulfide/air fuel cell. The feasibility of the sulfide/air fuel cell is proven. The lab-scale prototype can self-driven run at >6.5 mA cm−2 for 10 h, with a current efficiency of about 14 %. A sulfidic spent caustic stream is adopted to evaluate the real stream treatment performances. The cell can discharge at >2 mA cm−2 for 60 h, where the sulfide concentration of the sulfidic spent caustic stream is continuously decreased from 0.56 mol/L to 0.31 mol/L. Cost-efficient carbon-supported silver catalysts are synthesized as the cathode catalysts, which can be prepared from silver electroplating effluent.

Effect of reference value and ensemble size on perception of reverberation in simulated listening environments

Reverberation time is an important metric characterizing one of the key differences between performance venues caused by various furnishing, materials, and geometry within such spaces. To justify alterations to a venue, architects and acousticians refer to the just-noticeable-difference (JND) of reverberation time, cited in the ISO 3382-1 room acoustics standard as 5% of the reference value. This JND was determined experimentally using impulsive noise with varying reverberation. In real performance venues, overlapping and simultaneous sounds are more common than isolated impulses. As such, the JND noted in literature may not provide a complete picture of perceived reverberation for persons listening to live performed music. For this study, multiple test methods were evaluated by using different reference reverberation times as well as using a variety of instrumentation and genres for musical signals. Results were generated using test participants who were asked to listen to multiple virtual soundfields and provide subjective evaluation. Reverberant soundfields were recreated in an anechoic listening environment and auralizations were produced using ODEON room acoustics software. Results indicated statistically significant mean differences in perceived reverberation across instrumentation subsets, genre subsets, as well as through different testing configurations. [Work supported by The Paul S. Veneklasen Research Foundation.]

Performance assessment and root-cause analysis of a deteriorating On-Grid Industrial PV System for the identification of newly originating power degrading defect

Solar modules deployed in industrial areas have the potential to conserve a significant quantity of national grid electricity; nevertheless, the accessibility of industrial contaminants and emissions creates an unusual surrounding environment for industrial PV plants. Thus, evaluating the performance of industrial solar power plants and highlighting any disruptive agent is crucial for their reliable and feasible operation. The current study investigates the deterioration of a 101 kW On-Grid PV system installed in the aluminum industry that has a newly discovered degrading defect, namely the localised partial cell soiling on industrial PV system, which hasn't been seen or identified in classic studies specifically on industrial PV systems operating on ideal conditions. The underperformance of a solar power plant is identified using comparison between PVsyst simulation results and real plant performance metrics. Moreover, assessment analysis is presented by using characterization techniques such as FESEM, EDX, XRD, and FTIR. The results show that the actual yield (57,807 kWh DC and 56,031 kWh AC), array captured losses (12.257 h/day Lc), array system losses (0.57 h/day Ls), and performance ratio (51 %) all differ from the projected yield (89,637 DC and 86,392 kWh AC), array captured losses (6.256 h/day Lc), array system losses (1.067 h/day Ls), and performance ratio (79 %). Additionally, the performance analysis of the strings connected to both inverters demonstrates that the underperformance is caused by the newly originating defect since the PV-defected inverter strings perform worse than the other one. According to the characterization techniques, the industrial residue material of a specific section of the aluminum industry and the material accumulated on specific cells of panels have similar chemical, morphological, and elemental compositions. BaSO4 is found to be the common compound in both materials. Future PV designs, particularly those aimed at the industrial sector, will benefit from the knowledge of the industrial PV system's defect-originating material characteristics and underperformance.

EWM: An entropy‐based framework for estimating energy consumption of edge servers

AbstractIn mobile edge computing (MEC), accurately predicting and monitoring the energy consumption of edge servers is a key challenge in achieving green computing. The importance of solving this problem is that it can help optimize the energy usage in data centers and thus reduce the carbon emission of MEC. To this end, we propose an innovative entropy‐based power modeling framework called entropy weighted model (EWM). The EWM framework weights and combines classical prediction models by analyzing the major components of a server and selecting appropriate parameters. We validate the performance of EWM using real server power and performance counter data and compare it with other classical prediction models by Friedman test. The results show that EWM outperforms other classical prediction models in all test datasets. This result validates the significant advantages of our EWM framework in solving the critical problem of edge server power prediction, and provides an effective tool for achieving data center energy optimization and promoting green computing, resulting in a highly general and accurate prediction model.

Linking assessment to real life practice – comparing work based assessments and objective structured clinical examinations using mystery shopping

Objective Structured Clinical Examinations (OSCEs) and Work Based Assessments (WBAs) are the mainstays of assessing clinical competency in health professions’ education. Underpinned by the extrapolation inference in Kane’s Validity Framework, the purpose of this study is to determine whether OSCEs translate to real life performance by comparing students’ OSCE performance to their performance in real-life (as a WBA) using the same clinical scenario, and to understand factors that affect students’ performance. A sequential explanatory mixed methods approach where a grade comparison between students’ performance in their OSCE and WBA was performed. Students were third year pharmacy undergraduates on placement at a community pharmacy in 2022. The WBA was conducted by a simulated patient, unbeknownst to students and indistinguishable from a genuine patient, visiting the pharmacy asking for health advice. The simulated patient was referred to as a ‘mystery shopper’ and the process to ‘mystery shopping’ in this manuscript. Community pharmacy is an ideal setting for real-time observation and mystery shopping as staff can be accessed without appointment. The students’ provision of care and clinical knowledge was assessed by the mystery shopper using the same clinical checklist the student was assessed from in the OSCE. Students who had the WBA conducted were then invited to participate in semi-structured interviews to discuss their experiences in both settings. Overall, 92 mystery shopper (WBA) visits with students were conducted and 36 follow-up interviews were completed. The median WBA score was 41.7% [IQR 28.3] and significantly lower compared to the OSCE score 80.9% [IQR 19.0] in all participants (p < 0.001). Interviews revealed students knew they did not perform as well in the WBA compared to their OSCE, but reflected that they still need OSCEs to prepare them to manage real-life patients. Many students related their performance to how they perceived their role in OSCEs versus WBAs, and that OSCEs allowed them more autonomy to manage the patient as opposed to an unfamiliar workplace. As suggested by the activity theory, the performance of the student can be driven by their motivation which differed in the two contexts.

Measuring circularity potential for medical waste management – a dynamic circularity performance analysis

The global transition towards circular economy (CE) signifies a shift in industrial waste management objective from “expansion of recycling industry” to achieve “waste as resource”. The medical industry has attracted CE research attention the due to its significant waste generation and relatively slower progress towards CE, despite the substantial recycling potential identified by the WHO. Studies indicate that this can be attributed to the hazardous nature of medical waste and the prioritization of safety in waste treatment over potential economic and health co-benefits.Recognizing the limitations of current waste management performance evaluation framework, this research introduces the dynamic circularity performance index, and further introduces the two new indicators of “recycling circularity (Rc)” and “real circularity performance”, in conjunction with “recycling rate”, to enable industry-specific sustainability assessment of waste management performance.The case study on Taiwan medical waste management performance from 2014 to 2021 on the four identified medical waste categories confirms the limitations of assessing performance solely based on the quantity-based metric of “recycling rate”. For example, the significant decline in the recycling rate from 33.1% to only 12.2% between 2019 and 2020 might be interpreted as a drop in environmental performance. However, the increase in both overall recycling efficiency and total volume of waste recycled, as demonstrated by “circularity performance” and “real circularity performance” reveals a well-maintained resource recovery performance in coping with the stunning 327% increase in total waste generation caused by the COVID-19 pandemic. Similarly, while the “recyclable waste’ category exhibits a significant increasing in the recycling rate over the assessment period, the “Rc” results highlight a degradation in recycling efficiency.The synergistic effect of the newly introduced indicators unveils several unique phenomena affecting the CE transition of the medical industry. These includes regulatory control, the single-use mindset, hazardous nature of the waste, the classification of waste, policy incentives and recycling capacity.Further improvement can be made to expand the coverage to all life cycle stages and refine the method for determining the relative circularity of treatment performance. Such advancements can attribute to enhance waste management performance assessment and the development of effective CE transition strategies and policies.

Relationship Between Real GDP, CPI and M2 During the Lost Decades and Abenomics Era

The lost decades and its solutions, especially Abenomics are famous topics when discussing about Japans economy. This paper mainly focused on the relationship between CPI, M2 and real GDP of Japan in both short and long run using VAR model and cointegration analysis, and find out that: (1) Changes in money issuance and gross output in the short run have a positive effect on the increase in the price index; (2) The increase in monetary issuance and price level does not directly bring about an increase in output, but rather affects the demand and reduces the GDP growth rate; (3) The real GDP performance in the long run shows changes in the same direction as CPI, M2 and the time trend. CPI has a positive effect on disequilibrium, while changes in M2 have the effect of eliminating the disequilibrium.

Is WADA creating and then prosecuting thought crimes?

ABSTRACT Antidoping policy regulates and punishes the use of substances that are listed on a Prohibited List (PL). These substances are colloquially known as ‘performance-enhancing substances’. There is very little empirical evidence of enhancement for most of the substances on the PL raising the possibility that the perceived enhancement of performance experienced by an athlete is a placebo effect. A placebo effect is a response to an inert substance that is strongly influenced by psychological and social cues in the surrounding environment. It is our contention that, given the lack of proper empirical testing of the substances on the PL, it is in fact the appearance of a substance on the PL that has the strongest performance-enhancing effect in elite athletes. This disconnect between science and WADA’s code raises the question of what we really object to: real performance enhancement achieved using substances on the PL or performance enhancement that occurs because WADA has told us that the substance will enhance performance by placing it on the PL? In this case, antidoping policy would punish those who believe the performance-enhancing myth at the heart of the PL thus leading to a deeply flawed policy that creates its own victims.

Don’t Drop the Ball: A Comparison of Throwing Performance Between VR and Real Life

A two-experiment study assessed throwing performance in VR and real life. The first experiment was a direct comparison of a carnival type throwing game in which participants attempted to throw 20 balls into a bucket from distances of 5 and 10 ft. Fifteen participants completed the task in both real life and in an identical VR environment. In the second experiment, the same task was repeated at the 5ft distance only with the addition of a randomized order of three different VR controllers and the real-life condition. Results from both experiments indicate substantial differences between real life and VR performance along with differences between controllers. Significant VR research has stressed enhancing visual quality to better replicate real life. However, the focus needs to shift to examine creating accurate psychomotor interactions to achieve more accurate performance and ultimately training success.

On the Combination of Oil Painting Techniques and Modern Illustration Art

Oil painting represents the mainstream of modern Western painting art. The development history of Western painting art cannot be separated from the evolution of the style, subject matter and techniques of oil painting. Since its emergence, oil painting has experienced several style periods, including classicism, Romanticism, Impressionism, abstraction and so on. Among them, Impressionism, which was born in the middle of 19th century, played an important role in the history of western oil painting. It changed the style and way of oil painting popular in the past few centuries with new color theory and creative techniques. Impressionism emphasized the intuitive observation and real performance of the painting object. Since then, painting is no longer limited to the spiritual transmission of the author, and "what you paint is what you see" has gradually become one of the creation principles of Western oil painting. This paper analyzes the paintings of famous Impressionist painters with examples, sums up how Impressionist paintings skillfully use light, shadow and color to create, and discusses its referential significance for modern illustration.

(Digital Presentation) Sm0.5Sr0.5CoO3- δ -Ce0.9Sm0.1O1.95 Nanocomposites for Reversible Solid Oxide Cells

Electricity production through environmentally friendly energy sources has been one of the main challenges of our society in the last decades. The rapid growth of renewable energy has a large influence in the transport sector and industrial processes. Nevertheless, the irregular and seasonal disposition of renewable energy requires advanced devices for energy storage and conversion into electrical power. In this sense, reversible solid oxide cells appear as a promising alternative to store and produce electrical energy in a more efficient and eco-friendly way than conventional batteries and generators, respectively [1].An important aspect for increasing the efficiency of reversible solid oxide cells is to improve the performance of the air electrode. Although the intrinsic properties of the ceramic material are of great importance, such as electrical conductivity and electrochemical activity, the real performance of the air electrode strongly depends on its microstructure: porosity, particle size, surface area and electrode-electrolyte adherence [2].It is reported that the efficiency of air electrodes may be improved by adding a second phase with high ionic conductivity, such as doped-CeO2, to obtain a composite electrode with more conducting paths for oxide-ions. In addition, composite electrodes have generally higher efficiency than single-phase ones due to the increased electrochemically active area in whole electrode volume [2]. Moreover, they are known to reduce the mechanical stress originated by the different thermal expansion coefficients between the electrode and the electrolyte layers, thus improving the mechanical stability and durability of the cell.Traditionally, composite electrodes are prepared by mechanical mixing of the pristine materials, requiring multiple steps and time-consuming methods. Moreover, it is difficult to control the phase distribution and electrode morphology with this method. In order to overcome this drawback, nanocomposite powders may be synthesized by different co-synthesis methods, showing a more uniform distribution of nanosized crystals with high thermal stability and improved electrochemical properties [3].In this context, Sm0.5Sr0.5CoO3- δ exhibits high mixed ionic and electronic conductivity but relatively high thermal expansion coefficients, ~21.5·10-6 K-1, to be physically compatible with standard electrolyte materials, i.e. 12·10-6 K-1 for doped-CeO2. In this work, Sm0.5Sr0.5CoO3- δ-Ce0.9Sm0.1O1.95 (SSC-CSO) nanocomposite cathodes are successfully prepared in a single process by using the freeze-drying precursor method from a precursor solution containing all cations in stoichiometric amounts. In this way, SSC and CSO phases are formed simultaneously at low sintering temperature, reducing drastically the preparation time. SSC-CSO composite electrodes with different SSC content, ranging from 50 to 100%, are investigated by different structural, microstructural and electrochemical techniques.The XRD patterns show that the composite electrodes at 800 ºC are a mixture of SSC and SCO phases with perovskite and fluorite-type structure, respectively. No secondary phases are detected for any of the samples (Fig. 1a). Moreover, the Rietveld analysis shows a phase fraction and lattice cell parameters similar to the theoretical ones, suggesting minor cation exchange during the co-sintering process.The sintered pellets for electrical characterization show a homogeneous distribution of SSC and CSO phases (Fig. 1b,c). Interestingly, the addition of CGO suppresses partially the grain growth due to cation diffusion limitations during the sintering process. Thus, the grain size decreases from 0.53 µm for 100SSC to 0.32 µm for 60SSC.The lowest values of polarization resistance are found for 50SSC with a value of 0.35 Ω cm2 at 600 °C compared to 0.75 for 100SSC (Fig. 1d). The results suggest that this is a promising strategy to achieve highly efficient ceramic electrodes for reversible solid oxide cells with a notably simplified fabrication process compared to traditional methods.

Combinations of essential oils as effective green stabilizers for single base propellants

AbstractNitrocellulose‐based propellants undergo natural (and inevitable) autocatalytic degradation reactions. The presence of a stabilizer is essential to avoid and reduce the degradation reactions by capturing the NOx molecules. Traditional stabilizers, such as diphenylamine, and ethylcentralite, react with NOx through their amine and/or amide groups, leading to n‐nitroso groups, which are known to have carcinogenic, mutagenic and reprotoxic properties. Molecules that are not prone to form by‐products containing nitrosamines have been studied as substitutes, such as guaiacol and curcumin. However, the aromatic rings on these molecules have their acidity augmented when capturing the NOx groups and, paradoxically, increasing hydrolysis rates. In order to find a solution for the problem, we evaluated the use of essential oils containing terpenes and/or phenolic compounds to introduce a buffering capacity. Several propellant formulations with those compounds were subjected to traditional stability tests (German, Bergman–Junk and Storage tests), Pressure Vacuum Stability Test and Heat Flow Microcalorimetry. Finally, industrial batches were produced for the evaluation of real (ballistic) performance. Results indicated that the usage of essential oils increases stability properties not only through a sum of effects, but also in a synergistic way. Ballistic results were also adequate.

Longevity of Cemented Total Hip Replacement in Patient Younger than 50 Years Systematic Review and Meta-Analysis

Background Total hip replacement is a common and highly effective operation. All hip replacements would eventually fail if in situ long enough and it is important that patients understand when this might happen. Aim and objectives to perform an evaluation and meta-analysis of all available trials and studies demonstrating the different clinical outcomes following cemented total hip replacement in patients younger than 50 years. Subjects and Methods This study is Published observational analytical studies (Case-control, case reference or cohort studies) on the outcomes of cemented total hip replacement in patients younger than 50 years. Trials which involve English papers from the year 2000 till 2021. Only studies on human subjects younger than 50 years were included. Result 19 studies were included from 2000 to 2021. There was statistically significant heterogeneity in the studies (I288.47%, P &amp;lt; 0.0001). Using the random effects model, total Event rate for revision was 17.847% (95% CI: 12.834 – 23.485). Conclusion this study demonstrates good comparable outcomes for young patients having cemented both components THR. The trend towards using expensive uncemented fixation may be driven largely by marketing and ease of prosthesis insertion rather than real world performance gains for the patient. A THR with a cemented socket offers good outcomes to patients.

Analysing Competencies of Health Care Workers of Private Multispecialty Hospital toward Responsibility of Job the Training Need Analysis Approach

The healthcare and hospital industry in India has grown rapidly. People are conscious about their health and well-being. Multi-specialty and super-specialty hospitals have been established in many urban and semi-urban areas of our country. Several and super hospitals offer quality medical and technological services. There is no doubt that these hospitals have highly qualified doctors, but the support staff has been neglected. Nursing plays a key role in this hospital industry. The need for training, which is the skills of the employee and the required training skills, has never been evaluated for nursing staff. A Training Needs Analysis (TNA) is a job needs analysis that aims to identify which training needs are truly a priority. Roles and responsibilities must be considered when assessing these training needs. Communicating these needs helps the organization use resources effectively and efficiently. It also helps to avoid unnecessary exercise. Analysis of training needs can also mean a systematic and comprehensive study of various problems to accurately identify the dimensions of any organizational problem. Therefore, the organization will determine whether the problem will be solved through a training program or in some other way. Organizational problems refer to a lack of skills or knowledge when normal results cannot be achieved; the above explanation explains the difference between real and situational performance.