Average Mean Deviation Research Articles

Supply Chain Management Model in Digital for Supervision Management in Cooperative Educationin the Universities

Supply chain management model in digital for supervision management in a cooperative education in the universities is composed of six elements namely main elements suppliers, manufacturer, Education customers, Consumers Satisfaction and Return. The objective of this research is to develop and to evaluate an appropriate about Supply chain management model in digital for supervision management in a cooperative education in the universities A sample consisted of ten experts in supply chain. Data analysis was the average mean and standard deviation. The results from ten experts agreement of about Supply chain management model in digital for supervision management in a cooperative education in the universities was a high level which means that model can develop digital for supervision management in a cooperative education.

Supply Chain DigitalModel for Educational Management in the Credit Bank System

The paper about supply chain digital model for educational management in the credit bank system. The objectives of this research: research were to study supply chain digital model for educational management in the credit bank system and to access the efficiency development of the model .The sample groups were ten experts in supply chain. Data analysis was the average mean and standard deviation. The research was found that supply chain digital model for educational management in the credit bank system consists of seven components: namely main components, Suppliers, Manufacturer, graduated Students, Customers, Satisfaction and Feedback The results from experts agreement about supply chain digital model for educational management in the credit bank system was a high level. It showed that supply chain digital model for educational management in the credit bank system could be used to support the tasks.

Information Model for Supervision Management in the Cooperative Education for Higher Education Institutions in Thai Supply Chain

This research study was to develop and to evaluate an appropriate about information model for supervision management in the cooperative education for higher education institutions in Thai supply chain. The sample consisted of ten experts on supply chain. Data analysis was the average mean and standard deviation. The research tool was questionnaire about information model for supervision management in the Cooperative Education for higher education institutions in Thai supply chain comprises five main components, namely suppliers, manufacturer, Education customers, Consumers. The results from ten experts agreement of about information model for supervision management in the cooperative Education for higher education institutions in Thai supply chain was a high level which means that model can develop information model for supervision management in the cooperative Education for higher education institutions in Thai sustainable supply chain.

Non-Destructive Detection of Pipe Line Cracks Using Ultra Wide Band Antenna with Machine Learning Algorithm

In this article, an Ultra-Wide Band (UWB) antenna for the pipeline crack detection process is proposed. A UWB antenna has been designed with the dimension of 32 x 32 mm2 and it resonates from 3 GHz to 10.8 GHz. The designed antenna produces a peak gain of 4.36 dB. A pair of UWB antennas are employed in various pipeline scenarios and the received pulse from antenna 1 to antenna 2 is used for further processing and detection of pipeline cracks. Through the suitable machine learning data classifier algorithm the dimension of the crack has been detected. The various features such as mean, standard deviation (σ), mean average deviation (mad), skewness, and kurtosis have been extracted from the received pulse. Then the three different machine learning algorithms namely Support Vector Machine (SVM), k-Nearest Neighbor (kNN), and Naïve Bayse (NB) were trained and tested using extracted features, and the dimension of the void has been identified. Out of these three machine learning algorithms, kNN provides better accuracy and precision. It predicts the small cracks with 100% accuracy having a dimension as small as 1 mm width.

Impact of Diet on Nutrient Intake, Glycemic Index and Glycemic Load of Meals of Urban Indian Diabetic Population

Background: India is heading toward becoming the global diabetic capital directly interconnected to poor lifestyle and obesity. Aims and Objectives: The aim of the study was to find an association between glycemic index (GI) and glycemic load (GL) with macronutrients and fiber in the diet of the urban Indian population. Materials and Methods: The dietary intake using food frequency questionnaire and 24–h dietary recall of 240 recruited subjects (male and female), between 25 and 60 years were taken in the study. GI and GL of all meals were calculated using values from National and the International Table of GI and GL. Results: Average mean and standard deviation of GI and GL of major meals were on the higher side. A significant correlation between GI of lunch and dinner with total available carbohydrate (CHO) and total starch intake. A positive significant correlation was observed between GI to energy intake at dinner, total available CHO, and total starch. GL of breakfast was negatively correlated to iron, zinc, insoluble, and soluble fiber intake in females. GL for lunch was positively correlated to the intake of total available CHO, total starch, insoluble, and soluble fiber. Conclusion: The present study showed high GI and GL of processed foods and refined CHO indicating that dietary habits with high GI and GL foods are an indicator to risk of diabetes and pre-diabetes among both genders.

Evaluation of eight band SuperDove imagery for aquatic applications.

Planet's SuperDove constellation is evaluated for remote sensing of water targets. SuperDoves are small satellites with on board eight band PlanetScope imagers that add four new bands compared to the previous generations of Doves. The Yellow (612 nm) and Red Edge (707 nm) bands are of particular interest to aquatic applications, for example in aiding the retrieval of pigment absorption. The dark spectrum fitting (DSF) algorithm is implemented in ACOLITE for processing of SuperDove data, and its outputs are compared to matchup data collected using an autonomous pan-and-tilt hyperspectral radiometer (PANTHYR) installed in the turbid waters of the Belgian Coastal Zone (BCZ). Results for 35 matchups from 32 unique SuperDove satellites indicate on average low differences with PANTHYR observations for the first seven bands (443-707 nm), with mean absolute relative differences (MARD) 15-20%. The mean average differences (MAD) are between -0.01 and 0 for the 492-666 nm bands, i.e. DSF results show a negative bias, while the Coastal Blue (444 nm) and Red Edge (707 nm) show a small positive bias (MAD 0.004 and 0.002). The NIR band (866 nm) shows a larger positive bias (MAD 0.01), and larger relative differences (MARD 60%). Root mean squared differences (RMSD) are rather flat at around 0.01 with peaks in the bands with highest water reflectance of around 0.015. The surface reflectance products as provided by Planet (PSR) show a similar average performance to DSF, with slightly larger and mostly positive biases, except in both Green bands, where the MAD is close to 0. MARD in the two Green bands is a bit lower for PSR (9.5-10.6%) compared to DSF (9.9-13.0%). Higher scatter is found for the PSR (RMSD 0.015-0.020), with some matchups showing large, spectrally mostly flat differences, likely due to the external aerosol optical depth (τa) inputs not being representative for these particular images. Chlorophyll a absorption (aChl) is retrieved from PANTHYR measurements, and the PANTHYR data are used to calibrate aChl retrieval algorithms for SuperDove in the BCZ. Various Red band indices (RBI) and two neural networks are evaluated for aChl estimation. The best performing RBI algorithm, i.e. the Red band difference (RBD), showed a MARD of 34% for DSF and 25% for PSR with positive biases of 0.11 and 0.03 m-1 respectively for 24 PANTHYR aChl matchups. The difference in RBD performance between DSF and PSR can be largely explained by their respective average biases in the Red and Red Edge bands, which are opposite signs for DSF (negative bias in the red), and positive for both bands for PSR. Mapping of turbid water aChl and hence chlorophyll a concentration (C) using SuperDove is demonstrated for coastal bloom imagery, showing how SuperDove data can supplement monitoring programmes.

The role of exercise for pain management in adults living with and beyond cancer: a systematic review and meta-analysis.

Pain is a common side effect of cancer or cancer treatment that negatively impacts biopsychosocial wellbeing and quality of life. Exercise is a potential intervention to manage pain that is safe and has multiple benefits. The objective was to determine the role of exercise in cancer pain management. We completed a systematic review and meta-analysis of exercise interventions in adults with any type or stage of cancer by searching Ovid MEDLINE®, Embase, APA PsycInfo, the Cochrane Central Register of Controlled Trials, CINAHL, and SPORTDiscus. We included experimental and quasi-experimental designs where pain was measured as an outcome. Data synthesis included narrative and tabular summary. A meta-analysis was performed on studies powered to detect the effect of exercise on pain. Study quality was evaluated using the Cochrane risk of bias tool and certainty of evidence was evaluated using the GRADE tool. Seventy-six studies were included. Studies were predominantly conducted in breast cancer and exercise usually included a combination of aerobic and strength training. Ten studies were included in the meta-analysis demonstrating a significant effect for exercise in decreasing pain (estimated average standard mean difference (SMD) was g = - 0.73 (95% CI: - 1.16 to - 0.30)); however, the overall effect prediction interval was large. Overall risk of bias for most studies was rated as some concerns and the grading of evidence certainty was low. There are limitations in the evidence for exercise to manage cancer-related pain. Further research is needed to understand the role of exercise in a multimodal pain management strategy.

Adaptation and validation of the Arabic version of the COVID-19 anxiety scale

Background: Marked dysfunctional psychological consequences of COVID-19 necessitate an invention of new tailored scales that can assess and monitor these manifestations. Coronavirus Anxiety Scale (CAS) is new reliable and validated scale constructed to measure COVID-19-related anxiety. Objectives were to make a well-structured CAS Arabic version and to assess its validity. Methods: Sousa and Rojjanasriratw scale adaptation guidelines were followed for CAS translation to Arabic language and a survey of sociodemographic data, CAS and validated COVID-19 fear scale Arabic-version distributed to cross-sectional university students’ sample. Internal consistency, factor analysis, average variable extracted composite reliability, Pearson correlation, and mean differences were calculated. Results: 233 students responded to the survey, and 44.6% were female. Cronbach’s alpha was 0.94, item-total correlations 0.891-0.905 and inter-item correlations 0.722-0.805. The factor analysis test showed one factor that explains 80.76% of the cumulative variances, average variance extracted 0.80 and composite reliability 0.95, and the two scales’ correlation r-value was 0.472. No significant difference between the scales regarding the score means when compared. The independent t-test showed no differences in means within each identified sociodemographic group. Conclusions: The translated Arabic version of CAS has high internal consistency reliability and convergent validity values, and factor analysis addressed unidimensional measures. So, the Arabic CAS version is a reliable and valid version that maintains the original English scale reliability and validity properties.

Arabic language version of the obsession with COVID-19 scale adaptation and validity evaluation in Saudi sample

BackgroundThe obsession with COVID-19 scale is a reliable and validated scale developed to assess obsessions related to coronavirus infection (COVID-2019) and because of its usefulness, this paper is aiming to develop an Arabic version of the obsession with COVID-19 scale and evaluate its validity. Firstly, scale translated to Arabic through the guidelines of Sousa and Rojjanasriratw for scale translation and adaptation. Then we distributed the final version with some sociodemographic questions and an Arabic version of the COVID-19 fear scale to a convenient sample of college students. Internal consistency, factor analysis, average variable extraction, composite reliability, Pearson correlation, and mean differences has been measured.ResultsOut of 253 students, 233 responded to the survey, where 44.6% of them were female. Calculated Cronbach’s alpha was 0.82, item-total correlations were 0.891–0.905, and inter-item correlations were 0.722–0.805. Factor analysis identified one factor which reflects 80.76% of the cumulative variances. The average variance extracted was 0.80, and the composite reliability was 0.95. The correlation coefficient between the two scales was 0.472.ConclusionsThe Arabic version of obsession with COVID-19 scale has high values of internal consistency, and convergent validity, and has a unidimensional factor that reflects its reliability and validity.

Comparison of Perimetric Outcomes from a Tablet Perimeter, Smart Visual Function Analyzer, and Humphrey Field Analyzer

The tablet-based Melbourne Rapid Fields (MRF) visual field (VF) test and the IMOvifa Smart Visual Function Analyzer (SVFA) are portable perimeters that may allow for at-home monitoring and more frequent testing. We compared tablet and SVFA results with outputs from the Humphrey Field Analyzer (HFA) 24-2 Swedish Interactive Threshold Algorithm Standard program. Observational cross-sectional study. Adult participants with a diagnosis of glaucoma, suspected glaucoma, or ocular hypertension seen in the Massachusetts Eye and Ear glaucoma clinic were enrolled. All participants were reliable and experienced HFA testers. Participants were tested with the SVFA and HFA. The study staff also trained participants on the MRF tablet with instructions to take weekly tests at home for 3 months. Visual field results from the 3 devices were compared. Mean deviation (MD), pattern standard deviation (PSD), reliability parameters, and point sensitivity. Overall, 79 participants (133 eyes) with a mean age of 61±13 years (range, 26-79 years) were included; 59% of the participants were female, and the mean HFA MD was-2.7±3.9 dB. The global indices of MD and PSD did not significantly vary between HFA and the 2 novel devices, except that the tablet VF reported a 0.6 dB higher PSD compared with HFA. However, tablet and SVFA sensitivities significantly differed from those of the HFA at 36 and 39 locations, respectively, out of 52 locations. Relative to HFA, the tablet overestimated light sensitivity in the nasal field while underestimating the temporal field. The SVFA generally underestimated light sensitivity, but its results were more similar to HFA results compared with the tablet. Although average MD values from the 2 novel devices suggest that they provide similar results to the HFA, point-by-point comparisons highlight notable deviations. Differences in specific point sensitivity values were significant, especially between the tablet and the other 2 devices. These differences may in part be explained by differences in the devices' normative databases as well as how MD is calculated. However, the tablet had substantial differences based on location, indicating that the tablet design itself may be responsible for differences in local sensitivities. Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

An Office Management Model for Higher Education Institutions in Thai Service Supply Chains

This research aim to design and evaluate an office management model for higher education institutions in Thai service supply chains Then, developed a survey research, which used the sample group consisted of five in supply chain, five experts in Management. All totalling ten experts. Data analysis was the average mean and standard deviation. The research was found that an office management model for higher education institutions in Thai service supply chains six comprises namely main components, Supplier, Manufacturer, Material handling and packaging, Service provider ,Customers and results from ten experts agreement of an office management model for higher education institutions in Thai service supply that mean an office management model for higher education institutions in Thai service supply chain to may be appropriately applied in actual work settings.

An Office Management Model for Higher Education Institutions in Thai Service Supply Chains

This research aim to design and evaluate an office management model for higher education institutions in Thai service supply chains Then, developed a survey research, which used the sample group consisted of five in supply chain, five experts in Management. All totalling ten experts. Data analysis was the average mean and standard deviation. The research was found that an office management model for higher education institutions in Thai service supply chains six comprises namely main components, Supplier, Manufacturer, Material handling and packaging, Service provider ,Customers and results from ten experts agreement of an office management model for higher education institutions in Thai service supply that mean an office management model for higher education institutions in Thai service supply chain to may be appropriately applied in actual work settings.

Survival of Visual Function in Patients with Advanced Glaucoma after Standard Guarded Trabeculectomy with MMC

Surgical intervention in patients with severe glaucoma remains controversial, especially in unilateral cases with a minimally affected fellow eye. Many question the benefit of trabeculectomy in such cases due to high complication rates and prolonged recovery. In this retrospective, non-comparative, interventional case series we aimed to determine the effect of trabeculectomy or combined phaco-trabeculectomy on the visual function of advanced glaucoma patients. Consecutive cases with perimetric mean deviation loss worse than -20 dB were included. Survival of visual function according to five predetermined visual acuity and perimetric criteria was set as the primary outcome. Qualified surgical success utilizing two different sets of criteria commonly used in the literature constituted secondary outcomes. Forty eyes with average baseline visual field mean deviation -26.3 ± 4.1 dB were identified. The average pre-operative intraocular pressure was 26.5 ± 11.4 mmHg and decreased to 11.4 ± 4.0 mmHg (p < 0.001) after an average follow-up of 23.3 ± 15.5 months. Visual function was preserved at two years in 77% or 66% of eyes respectively according to two different sets of visual acuity and perimetric criteria. Qualified surgical success was 89%, 72% at 1 and 3 years respectively. Trabeculectomy and/or phaco-trabeculectomy is associated with meaningful visual outcomes in patients with uncontrolled advanced glaucoma.

Study on dissolution behavior of naphazoline nitrate in four binary solvents: Determination, modeling, Hansen solubility parameter and thermodynamic analysis

Solubility data of naphazoline nitrate in four binary solvents namely “methanol/2-methoxyethanol/ethylene glycol/N,N-dimethylformamide plus isopropanol” was determined in temperature range of (278.15 ∼ 323.15) K under 0.1 MPa. The laser monitoring method was employed during solubility determination process, and the composition of positive solvent was ranged from 0 to 1.0 with the mass fraction interval about 0.1. Solubility values showed an obvious growth trend with the increase of temperature, at the same time, it also had positive correlation with incremental mass fraction of positive solvent. The maximum as well as minimum values of naphazoline nitrate solubility data were obtained in neat N,N-dimethylformamide at 323.15 K (0.1855) and isopropanol at 278.15 K (5.766e−4). Besides, solubility modeling was realized by four activity coefficient models namely “Margules, Wilson, NRTL, UNIQUAC model”, and four selected models could provide good fitting effect among solubility data, solvent composition and experimental temperature. Corresponding root mean square deviation and average relative deviation between experimental and computed solubility data were not more than 2.759‰ and 6.727%, respectively. Moreover, Hansen solubility parameter were applied for discussing the miscibility between NPZN and selected solvents. Furthermore, thermodynamic properties, i.e. Gibbs free energy, entropy and enthalpy, for dissolution process and mixing process, were evaluated by UNIQUAC model. Results showed that dissolution processes were spontaneous and entropically driven, at the same time, most of mixing processes excluding naphazoline nitrate in isopropanol and methanol were spontaneous, exothermic and entropically driven.

Investigation on unfrozen water content models of freezing soils

Unfrozen water content is a significant hydro-thermal property in numerical modeling in cold regions. Although numerous models have been developed to mimic the variation of unfrozen water content with subzero temperature, comprehensive evaluation of unfrozen water content models is scarce. This study collected a total of 29 models and divided them into four categories, namely, theoretical models, soil water characteristic curve (SWCC)-based models, empirical models, and estimation models. These models were evaluated with 1278 experimental points from 16 studies covering multiple soil types, including 24 clays, 18 silty clays, 7 silts, 19 sands, and 10 sandstones. Root mean square error and average deviations were applied to judge the performance of these models. Most unfrozen water content models can well simulate the relationship between unfrozen water content and subzero temperature. Among the aforementioned four categories of unfrozen water content models, Lizhm et al. model, Fredlund and Xing (C=1)-Wen model, Kozlowski empirical model, and Kozlowski estimation model performed best in their respective categories. Compared to the rest three categories, estimation models can be applied to predict the variation of unfrozen water content with subzero temperature by some easy-to-obtain soil physical parameters and provide guidance for the development of unfrozen water content models.

A Copula-Hammersley approach for probabilistic analysis of integrated power and heat networks

As the interaction between the electrical and district heating networks have been increased due to the wide utilization of combined heat and power units, the interest in providing an appropriate tool to analyze these integrated systems dramatically grows. Besides, the installation of renewable energy power plants, such as wind turbines, is increased because of their clean power generation. However, the amount of their generated power is uncertain since wind speed is not exactly determined. In this regard, deterministic approaches cannot be employed to solve the power flow problem, and it is necessary to use a probabilistic viewpoint. This paper presents a probabilistic power flow framework for the integrated power and heat networks based on a novel Copula-Hammersley technique. The proposed method is able to consider various system uncertainties along with the existed interaction between the heat and power networks to successfully solve the power flow problem. Simulations on a case study of Barry Island networks demonstrate the applicability and effectiveness of the proposed methodology. The superiority of this technique is verified by studying various indices and characteristics of the obtained results in comparison with some other conventional approaches. It is verified that the proposed technique reduces the average mean and standard deviation errors by approximately 45% and 72% compared to traditional methods, respectively. Furthermore, the efficiency ratio of the proposed approach is 15% higher than that of the conventional methods which shows that it is faster and more accurate than those techniques.

Quality of life in patients with glaucoma using the Glaucoma Quality of Life-15 Questionnaire

Purpose: The purpose of this study is to measure the quality of life (QoL) in patients with glaucoma using the Glaucoma QoL-15 (GQL-15) questionnaire. Methods: A cross-sectional study with a prospective enrollment of glaucoma patients was conducted. A total of 308 patients were participated in the study. Informed consent was obtained before the administration of the GQL-15 questionnaire. The QoL was assessed using an orally administered GQL-15 questionnaire. Patients' QoL was assessed based on their age, gender, visual field (VF) defect, severity of glaucoma, laterality of disease, history of previous glaucoma surgery, and the number of antiglaucoma medications (AGMs) they were taking. Participants were divided into mild, moderate, and severe glaucoma depending on the severity of VF defects using the Hodapp–Anderson–Parrish grading system. Results: A total of 308 glaucoma patients were interviewed. The mean age of participants was 57.7 ± 12.9 years; 173 (56.1%) of them were female. The average mean deviation (MD) of the patients was 7.8 ± 4.8 dB. There were 135 (43.8%) patients with mild, 122 (39.6%) with moderate, and 51 (16.6%) with severe glaucoma. In total, 114 (37%) patients had unilateral glaucoma, whereas 138 (44.4%) patients had previous glaucoma surgery. Sixty-two (22.1%) patients did not take any AGM. The correlation coefficient between VF MD and QoL was 0.7, which was significant at 0.01 level (two-tailed). Conclusion: The findings of this study demonstrated that the severity of VF defects has a negative impact on patient's QoL.

Analiza tendencije učestalosti poplava u svetu

The paper deals with the hypothesis that floods in the last few decades recorded an extreme increase in frequency. As analysis of the number of events is the first step in the flood risk modelling, an empirical study was conducted based on data from the natural disaster database of the Université Catholique de Louvain in Belgium. The Mann Kendall Trend Test is used to identify a tendency in a series (the number of floods from 1960 to 2022 in the world) by testing statistical hypotheses and a randomness check in its variations, i. e. determining whether the time series has a tendency. The test determined that the flood frequency tendency is statistically significant. Based on measures of representativeness of the tendency, standard error and mean average deviation, an exponential regression curve was chosen with a coefficient of determination of 0.8807. With a relatively high coefficient of determination value, the model gives a solid basis for predicting those events in the future, but this property could certainly be improved.

Extent of glaucomatous damage on the first presentation.

The aim is to determine the magnitude of glaucomatous damage in the asymptomatic subjects identified with primary glaucoma for the first time and thus to evaluate the significance and efficacy of screening measures for glaucoma. An observational retrospective cohort study of 100 asymptomatic patients of age more than 40 years, diagnosed with and under treatment for primary glaucoma was performed. Patients were categorized into having early, moderate, and severe glaucoma, according to standard automated perimetry (SAP) mean deviation (MD) in the worse eye (<-6, -6 to -12 and >-12 dB, respectively). Risk factors were correlated with the severity of glaucoma at presentation and statistically analyzed. About 32%, 33%, and 35% of patients were found to have early, moderate, and severe stages of glaucoma with average MD of -3.51 ±1.53, -8.65 ±1.64, -17.15 ± 5.13 on SAP, respectively. The association of risk factors such as age (P = 0.006) and glaucoma awareness (P = 0.044) with the severity of glaucoma was statistically significant. There was no direct statistical correlation found between gender, history of diabetes mellitus, family history of glaucoma, intraocular pressure, central corneal thickness, the angle width, and the severity of glaucoma in our study. Majority of cases with primary glaucoma show no symptoms until advanced irreversible stages. Early screening and proper treatment are the only ways to halt its progression. In spite of available facilities, 68% of patients in our study were found to have moderate-to-severe stages of glaucoma. This indicates that our screening measures should reach the masses at the primary level, with a focus on awareness programs.

Promoting Senior High School Students’ Acquisition of Science Process Skills in Biology Using Experiential Learning Approach in Anambra State, Nigeria

The study explored the impact of experiential learning approach (ELA) on acquisition of science process skills (SPS) by biology college students. The research design is quasi-experimental research, adopting the non-randomized manipulated group of 2x2 factorial research design. 58 (22 males and 36 females) Senior High School II students in Awka Education Zone, obtained with multi-leveled sampling method made up the sample size. The sampled students who were in two separately grouped classes were randomly assigned to experimental and control groups using a flip of a coin. A Biology Science Process Skills Acquisition Test (BSPSAT) with 0.71 reliability coefficient ascertained with Kuder Richardson formula 20 was used to collect data. Average Mean and Standard deviation were adopted to describe the research questions and Analysis of Covariance to test the null hypotheses. The findings showed that ELA promoted students’ acquisition of SPS in biology more than the Conventional Lecture Method. Gender alone as well as its interaction effect with the teaching methods had no significant effect on acquisition of SPS by students in biology. The study resolved that ELA is an activity-based approach that engages students actively throughout the learning process, hence promoting their acquisition of SPS. In line with the findings, the study advised that biology teachers should adopt ELA in schools to promote students’ acquisition of SPS.