Performance Measurement Research Articles

Beyond financials: Examining the impact of customer focus, internal processes, and learning & growth on the sustainable performance of commercial banks—Moderating role of management commitment

AbstractThis study examines the key factors influencing sustainable performance in commercial banks, focusing on the impact of non‐financial metrics—customer focus, internal processes, and learning and growth—within the Balanced Scorecard framework on the performance of commercial banks in Ethiopia. Additionally, it examines the moderating role of management commitment in this relationship, grounded in organizational learning theory, upper echelons theory, and the balanced scorecard model. The study adopts an explanatory research design, utilizing covariance‐based structural equation modeling and interaction‐term analysis. A multi‐stage sampling technique, followed by systematic random sampling, was employed, with Soper's formula used to determine a sample size of 480 from a total population of 4990. Mahalanobis distance was applied to identify and remove biased responses. The findings reveal that non‐financial metrics—customer focus, internal processes, and learning and growth—positively affect commercial banks' sustainable performance, and management commitment strengthens this effect. Furthermore, the results empirically validate the proposed hypotheses, emphasizing the value of incorporating non‐financial metrics into performance measurement and highlighting the essential role of management commitment in ensuring their success. This research fills a gap in the literature on sustainable performance measurement within the Ethiopian banking sector and provides actionable insights for managers and policymakers.

What is a “good” library? The measures are changing

PurposeStandardization of library performance measures started in 1994, when several handbooks describing performance indicators had already appeared. The 1st edition of the International Standard ISO 11620 was published in 1998, followed by an amendment 5 years later, both dealing with the traditional library. As indicators for the digital library services were still developing, a pre-standard technical report for such indicators was published separately in 2003. The second edition was published in 2008 and combined 45 indicators for traditional and digital services, if possible, as “hybrid” indicators. The 3rd edition appeared in 2013 with 52 indicators, presenting new topics such as preservation and digitization. For this edition, seven indicators had been eliminated as outdated. The 4th edition was edited in 2023, presenting 61 indicators, of which 14 new indicators and many revisions. The paper follows the subject areas and corresponding indicators over time and tries to define the present and possible future trends.Design/methodology/approachThe paper describes the development of library performance measurement as standardized in ISO 11620. It follows the changes, additions and deletions of indicators since the first edition in 1998 and compares them to the changes in libraries’ tasks and activities.FindingsThe analysis shows that indicators for changing tasks and technologies or for new fields of interest follow a few years after the changes, as the methods have to be developed and tested. New topics are often introduced from outside, following political trends and themes, such as cost-efficiency or support for special user groups. An important input came from other standards with quality indicators, especially ISO 21246 for museums and ISO 21248 for national libraries. An interesting issue is the changing role of indicators for the digital library in ISO 11620. Until the forthcoming edition, a simple increase in digital collections and services was often regarded as quality. The new concept is to regard the existence of digital services and collections in libraries as normal and to look for additional aspects, e.g. the use of a digitized collection.Research limitations/implicationsFor the first time, the forthcoming edition will contain a clause about impact assessment. Measuring the quality of library services should not stop with effectiveness and efficiency but should also include assessing the impact on individuals and society. Methods for assessing library impact are described in a separate standard, ISO 16439. However, there is evidently a borderland between evaluating the quality of library services and identifying their effect on users. The new edition of ISO 11620 tries to clarify this and includes some “border” indicators, such as measures for the awareness of libraries their services.Originality/valueThe overview of developments in the standardized performance measures will help to understand the relation of the indicators to the current goals and tasks of libraries and may further the use of the standard. As libraries’ tasks and activities will continue to develop and change, new topics will come up in the next few years, some of which can already be identified today.

The Effect of Post-Exercise Warm Water Immersion on Anaerobic Power Performance in College Students

Background/Objectives: The purpose of this study was to investigate the effect of a short-term passive post-exercise heat acclimation (HA) protocol on anaerobic performance in college students. Methods: In total, 28 participants (age 22.3 ± 2.1 years, height 168 ± 9.1 cm, mass 71.5 ± 16.6 kg) volunteered and were randomly divided into either an intervention (INT) or control (CON) group. Both groups followed a consecutive two-day protocol, consisting of a 25 min submaximal cycle @ 50–60% heart rate reserve (HRR), followed by a 25 min hot water immersion (INT) or nothing (CON). All participants performed a 30 s Wingate Anaerobic Test (WAnT) on four separate occasions—familiarization, pre-intervention, acutely post-intervention, and 24 h post intervention. The WAnT measured their peak power (W), relative peak power (W/kg), mean power (W), fatigue index (%), and total work (kJ). Results: From the results of the Factorial ANOVA, it was found that there were no significant differences, with no main effect for group (INT vs. CON) or time (Trials 1–4) and no significant interaction across all measured variables (p > 0.05). Conclusions: A two-day post-exercise passive HA protocol utilizing hot water immersion had no significant effect on the measurement of anaerobic performance in college students.

Blockchain Bottleneck Analysis Based on Performance Metrics Causality

With the widespread application of blockchain technology across various industries, detecting and analyzing performance bottlenecks is crucial for evaluating and optimizing blockchain system performance. However, current research needs general performance metrics for detecting and analyzing bottlenecks. Only some studies focus on this aspect within blockchain systems. To address this, this paper first proposes 18 fine-grained performance metrics to evaluate performance across various layers of blockchain systems comprehensively. Subsequently, we introduce a generalized loosely coupled performance measurement framework to capture these metrics and construct the causal relationship between them, i.e., the mesoscopic performance structure. This approach allows for the detection and analysis of performance bottlenecks. Finally, numerous experimental results demonstrate that the causality between the relevant performance metrics disappears when the system reaches a performance bottleneck. Additionally, the framework has a performance impact of less than 15% on ChainMaker.

The effect of systematic auditory stimuli micro-refresh on intellectual work performance and subjective measurement

This study investigates the effect of auditory stimuli incorporated as a micro-refresh promoter during intellectual work by considering performance indicators and subjective measurement. A controlled laboratory experiment study was conducted with 47 participants performing a cognitive task under the conditions with and without auditory stimuli intervention. After data cleansing, 25 participants data were included in the analysis. Quantitative measurement of answering time and concentration time ratio resulted in no significant difference between conditions with and without auditory stimuli. Subjective ratings of NASA-TLX, subjective symptoms, and detachment factor found no significant difference among conditions with and without auditory stimuli. The recovery subjective questionnaire resulted in a significant difference in which participants felt more recovered when performing the task in auditory stimuli intervention. Regardless there are no statistically significant differences in several measurement indicators, there is a subjective indicator that auditory stimuli have an effect on intellectual work performance and it is worth considering for further research.

Sustainability in the Next Generation Hospital. Needs and Requirements collection from healthcare infrastructures supply chain stakeholders with One Health approach

Abstract Technological, demographic, epidemiological, environmental and social changes require investment in new sustainable hospital infrastructure; there is a lack of guidelines and interaction between Stakeholders. In February 2022, the Joint Research Platform Healthcare Infrastructures (JRP HI) was established consisting of Hospital Strategic Directions and Industrial Partners in Italy. Starting from the WHO Techincal Brief “Hospitals of the Future”, a national survey was carried out via web-survey and semi-structured interviews with a sample of 30 stakeholders to collect the main drivers and constraints for innovation and the framework from a One Health perspective and in terms of sustainability. The main needs to be addressed through the guidelines refer to digitalization (27%), flexibility (32%), environmental sustainability (36%) and economic sustainability (27%) as well as flow management (18%) and hospital infection (14%). The participants consider SDG-3 ‘Good Health and Wellbeing’ to be the most relevant for development activities. Hospital managers prioritize SDG-8 ‘Decent Work and Economic Growth’ (23%); vice-versa the industrial partners suggest SDG-11 ‘Sustainable Cities and Communities’ and SDG- 13 ‘Climate Actions’ (32%) as topics to be addressed. Furthermore, 57% of the respondents state that they lack adequate training, budget or leadership to apply innovative strategies in the day-to-day management of the healthcare organization. The survey highlighted a lack of initiatives, budget, and standardization for enhancing environmental sustainability in healthcare infrastructures. The sustainability of building systems depends on factors such as energy consumption, alternative energy sources, thermal comfort, water usage, waste management, ventilation, lighting efficiency, air quality, and construction materials. Ensuring the adoption of monitoring systems and harmonized standards of performance measurement is crucial for increasing the environmental sustainability.

Diagnostic and prognostic value of ECG-predicted hypertension mediated left ventricular hypertrophy using machine learning

Abstract Background Hypertension is the commonest cause of left ventricular hypertrophy (LVH). Using cardiac magnetic resonance (CMR) imaging, four distinct hypertension mediated LVH phenotypes have been reported: normal LV, LV remodelling, eccentric LVH and concentric LVH. Early detection of hypertensives with LVH can enable timely initiation of therapy however a CMR based screening strategy is costly, particularly in low resource settings. The electrocardiogram (ECG) is an inexpensive screening tool and can detect LVH but its capacity to discriminate between the 4 phenotypes is unknown. Purpose To classify hypertension mediated LVH phenotypes from the ECG using machine learning (ML) and test for associations of ECG predicted LVH phenotypes with incident cardiovascular outcomes. Methods ECG markers with a known physiological association with LVH (including QRS markers, Sokolow-Lyon, and Cornell) were extracted from the 12-lead ECG of 20,439 hypertensive participants in UK Biobank. Three classification models, logistic regression, support vector machine (SVM) and random forest, were trained in 80% of the participants using extracted ECG markers and clinical variables. The remaining 20% individuals were included in the test set for performance measurement. External validation was sought in 877 hypertensives from the Study of Health in Pomerania (SHIP). Subsequently, we tested for associations between the four ECG-predicted LVH phenotypes and incident major adverse cardiovascular events (MACE) and heart failure using Cox proportional hazard regression in the UK Biobank test set with median follow-up of 4.2 years. Results Among UK Biobank participants (mean age ± standard deviation 65 ± 7.4 years), 23,190 had normal LV, 894 LV remodelling, 218 eccentric and 103 concentric LVH. Classification performance of the three models was comparable, but SVM showed consistent results (accuracy 0.79, sensitivity 0.59, specificity 0.87, AUC 0.69) and superior prediction of eccentric LVH (AUC 0.86). In SHIP (55 ± 12.7 years), 704 had normal LV, 134 LV remodelling, 12 eccentric and 24 concentric LVH. In the external validation performed in SHIP, SVM had accuracy of 0.75 (sensitivity 0.51, specificity 0.85, AUC 0.65), with superior prediction of eccentric LVH (AUC 0.76), as shown in Figure 1. Ventricular rate and QRS amplitude (P<0.001) were the features most strongly associated with LVH. In the test set of UK Biobank, setting normal LV as the reference group, the ECG predicted eccentric LVH group was associated with heart failure (Hazard Ratio 3.42, confidence interval 1.06-9.86), there were no associations with MACE (Figure 2). Conclusions ECG-based ML classifiers were able to discriminate the four hypertension mediated LVH phenotypes with external validation demonstrating robustness. This automated approach enhances capabilities of non-specialists and potentially represents an accessible screening strategy for the early detection of hypertensives with LVH.

Measurement Instruments When Comparing Academic Performance and Physical Activity: A Comprehensive Systematic Review.

This study offers a comprehensive review of academic performance measurement instruments in physical activity and education settings, aiming to provide a comprehensive list of tools used for measuring academic performance in relation to variables associated with physical activity. Academic performance outcomes, including cognitive skills, attitudes, academic achievement, and academic behavior categorized by CDC, were investigated using specific keywords in search engines between 2000 and June 2022, with 233 articles (describing 220 studies) included. Participant demographics, mainly elementary students, displayed variability. The review found that 37.3% of studies measured cognitive skills and attitudes (primarily attention), 57.3% assessed academic achievement (GPA, subject scores, or standardized tests), and 15.9% evaluated academic behaviors (mostly on-task/off-task behaviors). Various instruments were employed, notably those measuring attention, intelligence, memory, and attitude. Positive associations were found in 63.4%, 78.6%, and 85.7% of studies for cognitive skills, academic achievement, and academic behavior, respectively. This literature review highlights the prevalence of studies on academic achievement, diverse cognitive skills instruments, and a focus on attention. Despite predominantly positive relationships, some studies reported non-significant or negative associations, particularly for cognitive skills. Future research should emphasize these areas using reliable instruments.

Validity of specific CPT indices in differentiating school-aged children previously diagnosed with attention deficit/hyperactivity disorder from school-aged children with non-attention deficit/hyperactivity disorder in general education classrooms: a case control study

BackgroundContinuous performance tests (CPTs) are a popular tool for evaluating the symptoms of attention-deficit/hyperactivity disorder (ADHD). Performance measurements are typically linked to the biological features and cognitive functions of individuals. To determine the validity of specific CPT indices in differentiating between school-aged children with ADHD from with non-ADHD, each student’s sex, chronological age, and cognitive abilities should be considered.MethodsIn this prospective case–control study, a total of 30 non-ADHD students and 26 with ADHD who were aged 6 to 12 years were from general education classrooms. All students completed the Continuous Performance Tests (CPTs) and the Peabody Picture Vocabulary Test-revised (Mandarin-Chinese version). Demographic data were collected from the students’ parents.ResultsDetectability, Omissions, Commissions, and Hit Reaction Time Standard Deviation (HRT SD) yielded higher T-scores in children with ADHD than those without. Compared with non-ADHD students, those with ADHD had higher classification scores for Detectability, Omissions, Perseverations, and HRT SD. For each CPT index, after individual factors were controlled for, logistic regression revealed that only students with positive scores for Detectability, Omission, and HRT SD (adjusted odds ratios = 4.627, 9.977, and 3.908, Ps < 0.05) were likely to receive a diagnosis of ADHD. Furthermore, after individual characteristics were controlled for, Logistic regression also revealed that the cumulative positive scores of the Detectability, Omission, or and HRT SD remained associated with an increased risk of ADHD (adjusted odds ratio = 3.116, P < 0.01).ConclusionsCompared with school-aged children with non-ADHD in general education classrooms, those with ADHD exhibited significantly lower performance in inattention-related CPT indices. To reach an accurate diagnosis through CPTs, clinicians should pay attention to Detectability, Omission, and HRT SD. Compared with other CPT indices, Detectability, Omission, and HRT SD may function as more suitable indicators for distinguishing between school-aged children with and non-ADHD in general education classrooms. These indicators are robust and unobscured by individual characteristics.

A Demand-Driven Analysis of the Determinants of P2P Accommodation hosts’ Business Performance: Scale Development and Validation

ABSTRACT Hosts of peer-to-peer (P2P) accommodations often struggle to accurately assess guests’ perceptions of their performance due to the lack of valid measurement scales. This study aims to address this gap by developing and validating a 20-item scale to measure P2P hosts’ business performance as perceived by their guests. The scale encompasses five domains: living environment, authenticity, platform incentives, guests’ civility, and amenity quality. This study also examines the predictive validity of these dimensions by assessing their effects on customer satisfaction, which varies by traveling party. By enhancing the understanding of P2P accommodation performance measurement and extending cue utilization theory, this study provides valuable insights for future research on hospitality business performance and effective performance evaluation in the P2P accommodation sector.

Launching Financial Incentives for Physician Groups to Improve Equity of Care by Patient Race and Ethnicity.

Blue Cross Blue Shield of Massachusetts (BCBSMA), a large commercial health insurer, is using financial incentives to advance equity of care by patient race and ethnicity. Understanding experiences of this payer and its contracted physician groups can inform efforts elsewhere. We qualitatively assess physician groups' barriers and facilitators of planning and implementing BCBSMA's financial incentives to improve equity of ambulatory care quality by patient race and ethnicity. Key informant interviews (n = 44) of the physician group, BCBSMA, and external stakeholders were conducted, equity initiative meetings were observed, and documents were analyzed to identify barriers and facilitators of designing and preparing for financial incentives to advance racial equity. Physician group experiences of preparing for and responding to financial incentives for equity improvement were assessed. Analyses revealed 1) the central importance of valid and reliable equity performance measurement and carefully designed equity improvement incentives for physician group buy-in, 2) that prior to implementing financial incentives for equity improvement, physician groups needed to improve their quality management systems and the accuracy and completeness of patient race and ethnicity data, and 3) physician groups' populations served, baseline maturity of quality management systems, and efforts to assess and address patients' social risk factors were central to consider to plan for physician group financial incentives to improve racial equity. Given the major infrastructure investments and organizational change management resources required of physician groups to participate in a financial incentive program designed to reward equity improvement, alignment of equity measurement and performance requirements across payers would facilitate physician groups' engagement in efforts to improve quality of care for racial and ethnic minority patients.

Analisis Kinerja Baznas Kabupaten Sukoharjo Dengan Metode Balanced Scorecard

The optimization of zakat management requires strong institutional support. One effort to achieve this is by evaluating the performance of zakat management institutions, particularly the National Amil Zakat Agency (BAZNAS). Several performance measurement models have been developed, such as IZN, IDZ, CIBEST, IMZ, ISZM, and the Balanced Scorecard. These models enable a comprehensive and simultaneous performance evaluation of BAZNAS. For example, a previous study analyzed the performance of BAZNAS Sukoharjo using the IZN model, with results indicating a "fair" performance. To build on this research, the present study uses field research with a descriptive qualitative approach, employing the Balanced Scorecard analysis. It measures performance from four perspectives: financial, customer (muzakki), internal business processes, and learning and growth. The results show that the performance of BAZNAS Sukoharjo, evaluated using the Balanced Scorecard, is rated "good" in the financial (zakat fund growth), customer (muzakki), and internal business process (programs implemented) perspectives, with a score of "1." Furthermore, the learning and growth perspective also achieved a "good" rating, with a score of "1." These results indicate that the performance has met the work targets, as well as the institution's vision and mission.

Dietary effects of protected fat, soybean meal, and heat-treated soybean meal on performance, physiological parameters, and behavioral measurements of early-fattening Hanwoo steers under heat stress conditions.

This study evaluated the effects of increased levels of dietary total digestible nutrient (TDN) and crude protein (CP) using protected fat (PF), soybean meal (SB), and heat-treated soybean meal (HSB) on performance, physiological parameters, and behavioral measurements of early-fattening Hanwoo steers under heat stress conditions. Thirty-six steers (480.9 ± 58.6 kg, 15.9 ± 1.4 months) were assigned to 4 treatments: Control (TDN 75%, CP 15%, rumen degradable protein [RDP]:rumen undegradable protein [RUP]=62:48), PF (TDN 82.5%, CP 15%, RDP:RUP=62:48), PF+SB (TDN 82.5%, CP 16.5%, RDP:RUP=62:48), and PF+SB+HSB (TDN 82.5%, CP 16.5%, RDP:RUP=48:52) for a total of 16 weeks with division of 4 weeks. The average temperature-humidity index (THI) was 82.9 (1st; Moderate), 76.9 (2nd; Mild), 70.9 (3rd; Comfort), and 65.8 (4th period; Comfort). Dry matter intake during whole period did not differ among treatments but decreased by 34% and 19%, respectively during 1st and 2nd compared to 4th. Average daily gain (ADG) of PF+SB+HSB was higher (p<0.05) than that of Control during the 1st period, and those of both PF+SB and PF+SB+HSB were higher (p<0.05) than Control during the 2nd. The ADG during whole period was in the order of PF+SB+HSB (1.23), PF+SB (1.18), PF (1.11), Control (0.98 kg/d) (p<0.05). As THI increased, rectal temperature and all blood parameters increased, while blood glucose levels decreased (p<0.05). Behavioral changes during 1st period compared to 3rd included decreases in Lying (24%), Walking (48%), and Eating (40%), and increases in Total standing (50%) and Drinking (43%) (p<0.05). Rumination during standing was 38% higher, and Rumination during lying was 32% lower (p<0.05). This study demonstrates 10% of increased levels of dietary TDN using PF and CP considering RUP can prevent performance reduction in early-fattening of heat-stressed Hanwoo steers and have positive effects on performance recovery from post-heat stress.

Bodily Distress Syndrome Is Associated with Impaired Physical Fitness-A Population Based Cross-Sectional Study (DanFunD).

Background and Aim: Functional somatic disorders (FSDs) are a unifying diagnosis that includes functional somatic syndromes (FSSs) as well as the unifying diagnostic construct of bodily distress syndrome (BDS). FSDs are characterized by persistent and troublesome physical symptoms that are prevalent across all medical settings and for which no clinical tests can establish a definitive diagnosis. The aim of this study was to explore associations between BDSs and objective measurements of body composition, cardiorespiratory health, and physical performance. Methods: Analyses are based on data from the Danish population-based cohort study, DanFunD, comprising data on 9656 participants aged 18-76 years and BDS case status, which was established using self-reported questionnaires. Adjusted multiple linear regression analysis was employed to evaluate associations between BDS and different measures of body composition, cardiorespiratory health, and physical performance assessed as part of a general health examination. Results: Compared to controls, individuals with single- or multi-organ BDS exhibited less optimal body compositions characterized by a higher BMI and fat percentage and larger waist circumference, as well as impaired cardiorespiratory health and reduced physical performance (lower maximal oxygen consumption and lower hand grip strength). Further, individuals categorized with multi-organ BDS had a less healthy body composition, lower cardiorespiratory health, and lower physical performance compared to individuals with single-organ BDS. Conclusions: In this cross-sectional study, we found BDS to be associated with suboptimal body composition, impaired cardiorespiratory health, and reduced physical performance. Individuals with multi-organ BDS tended to exhibit lower physical fitness or reduced cardiorespiratory health than individuals with single-organ BDS.

Keys to managing university reputation from the students’ perspective

University reputation is a decisive factor in the management, positioning, sustainability, competitiveness, differentiation, and success of universities. However, the measurement of university performance is often communicated through international rankings, which are frequently criticized for not considering the student's perception, who is the primary user of the educational service. For this reason, the objective is to analyze how students' experiences and their perceived value of the educational process influence the final reputation of universities in two different contexts: Colombia and Spain. Additionally, the results of these relationships are contrasted with the cultural differences and educational systems of both countries. The methodology used is quantitative by means of the formulation and demonstration of a structural equation model, with 385 surveys collected from undergraduate students in Colombia and 333 from undergraduate students in Spain. The results confirmed that student experience influences both perceived value and reputation, and perceived value influences the reputation of the university, likewise, the student experience has an indirect effect on reputation through perceived value, with consistent findings in both countries.

Effects of hyperbaric oxygen therapy on recovery after a football match in young players: a double-blind randomized controlled trial.

Football is a physically demanding sport that requires effective recovery strategies to maintain performance level and prevent injuries. This study investigated if a single 1-h hyperbaric oxygen therapy (HBOT) session affects recovery and performance after a football match in elite youth players. Twenty elite youth football players (age 17.3 ± 0.5 years) were randomly assigned to a HBOT group or a control group (CON). They played a 90-min football game and underwent either a 60-min HBOT or placebo intervention. Before (T1), at the end of the match (T2), 1 h after HBOT or CON session (T3), and 12 h after HBOT session (T4), subjects underwent biochemical (serum samples (myoglobin (MB), creatine kinase (CK), lactate dehydrogenase (LDH), alanine aminotransferase (ALT), and aspartate aminotransferase (AST)) and performance measurements (linear speed at 5 m, 10 m and 20 m, squat jump (SJ), countermovement jump (CMJ) and countermovement jump with arm swing (CMJa)). The Hooper Index (HI) was collected and heart rate was measured during the game. The football match induced significant increases in all biochemical markers, but no significant differences were found between the HBOT and control group in biochemical or performance parameters at any time point. However, there was a significant interaction effect between time and group for HI (p = 0.012, η2 = 0.124), with the HBOT group showing significantly lower HI values (8.6 ± 2.41) than the control group (11.0 ± 3.23) at 1 h post-HBOT. A single 1-h session of HBOT did not significantly affect recovery or performance parameters in elite youth football players, though it did show a moderate positive affect on the HI at 1 h post-HBOT. Further studies should explore the impact of either longer or sequential HBOT sessions on recovery.

Rating the Surrounding Vehicle-to-Everything Field, Based on Channel Utilization and Information Influence

&lt;div&gt;Automated vehicles (AVs) can get additional information from infrastructure and other vehicles via vehicle-to-everything (V2X) communication. However, how can an AV decide if the surrounding V2X field can reliably provide qualitative, relevant, and trustworthy information? Related research analyzes V2X performance from various angles. However, not only are there identified open gaps in the analysis of loaded channels, but there has also not yet been an effort to design a lightweight metric for rating the quality of the surrounding V2X field. Hence, this work aims to close this existing performance measurement gap and develop a metric for rating the quality of the surrounding V2X field. This article first highlights the gaps identified in performance analysis before closing them with a dedicated measurement campaign. Next, it combines these findings with related research to design a straightforward V2X field rating metric. The resulting V2X field rating metric is a starting point for the AD system to decide if sensor information from the V2X field should be directly incorporated or handled with care.&lt;/div&gt;

Comparison of Moving Average and Exponential Smoothing Methods for Estimating the Number of Internet Service Disruptions

Fairly tight competition in telecommunication business requires companies to continue improving the quality of their services, including handling network problems or customer complaints. However, the amount of disturbance that occurs is often unpredictable. Indeed, this condition will impact the allocation of resources and budget for handling customer disturbances in the following period, with uncertainty. This research aims to apply the moving average (MA) and single exponential smoothing (SES) forecasting methods to predict the number of internet service disruptions. The case study used in this paper is an internet service provider company with service coverage in the northern part of Surabaya. The number of disturbances data was collected from January 2022 to May 2022, with 18,453 data in total. The disturbances can be divided into five types: physical, mass, logical, PSB/migration, and others. Forecasting is carried out using the MA method with a period of three months. Meanwhile, forecasting using the SES method was carried out by first determining the alpha value that produces the smallest Mean Absolute Percentage Error (MAPE) value. The analysis results show that both forecasting methods are relatively effective and efficient in estimating the number of disturbances. Forecasting performance testing was carried out by measuring the Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE) values. The results of forecasting performance measurements show that the SES method is much better than MA for all types of disturbance data, with MAPE values ​​below 2%.

Evaluating the performance measurement of novel octangular star shaped micromachined substrate with self-isolated 8 × 8 port MIMO antenna for dual band 28 GHz (n261) and 39 GHz (n260) millimeter-wave 5G applications

Evaluating the performance measurement of novel octangular star shaped micromachined substrate with self-isolated 8 × 8 port MIMO antenna for dual band 28 GHz (n261) and 39 GHz (n260) millimeter-wave 5G applications

Performance evaluation of a small-animal PET scanner with 213 mm axis using NEMA NU 4-2008.

Long-axis positron emission tomography (PET) has emerged as one of the recent research directions in PET due to its ability to significantly enhance sensitivity and counting performance for low-dose imaging, rapid imaging, and whole-body dynamicimaging. The PET system presented in this study is a long-axis animal PET based on lutetium-yttrium orthosilicate and silicon photomultiplier, designed for whole-body imaging in rats. It features a diameter of 143 mm and an axial length of 213.3 mm. This study evaluated the performance of this PET system in accordance with the National Electrical Manufacturers Association (NEMA) NU 4-2008standards. The performance evaluation was conducted according to the NEMA NU 4-2008 standards in terms of spatial resolution, sensitivity, counting rate performance, scatter fraction (SF) and image quality. In addition, a rat imaging study was conducted to assess the imaging capability of this PETsystem. The average energy resolution of the PET system was 12.87%, the average coincidence timing resolution was 751 ps. The FWHM of spatial resolution reconstructed by filtered back projection and 3D-OSEM-PSF algorithm at 5 mm radial offset from the axial center were 1.65 and 0.88 mm. The peak absolute sensitivity measured by a point source at the center of the field of view was evaluated as 6.71% (361-661keV) and 10.31% (250-750 keV). For the mouse-like phantom, the SF was 11.0% and the peak noise equivalent counting rate (NECR) was 1193 kcps at 94.2 MBq (2.54 mCi). For the rat-like phantom, the SF was 26.8% and the NECR was 682.5 kcps at 78.6 MBq (2.12 mCi). The performance measurement results demonstrate that this PET system exhibits high sensitivity and count rate performance, making it potential for high-quality whole-body dynamic imaging ofrats.