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2022 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Nan Zhu ◽  
Kai He

<p style='text-indent:20px;'>The main objective of this research is to measure the efficiency of 397 major industrial enterprises in Sichuan province of China in 2013.To this end, we employed DEA super slacks-based measure (Super-SBM) model for performance evaluation of 397 major manufacturing firms.The empirical results show that 21 of the 397 enterprises operate efficiently, and the average efficiency score of the analyzed enterprises is only 0.15. The enterprise with the highest efficiency score is 96.15% higher than the average score, which is the benchmark enterprise of operational efficiency. Among the selected sample enterprises, 5.29% of the industrial enterprises are highly efficient in operation. It was also noticed that the average efficiency score of pharmaceutical firms was the highest among all industrial firms with a mean score of 0.75, which is 80% higher than the overall average score of all industries. While the average efficiency of manufacturing of chemical raw materials and chemical products was the lowest with a mean score of 0.39. Results of sensitivity analysis show that profit has a great impact on the efficiency score of special equipment manufacturing firms, but a relatively weak impact on the firms which manufacture computers, communications, and other electronic equipment. The effect of export delivery value on efficiency score is not obvious.</p>


2021 ◽  
Vol 12 ◽  
Author(s):  
P. S. Swathi ◽  
Raghavendra Bhat ◽  
Apar Avinash Saoji

Background and Objective: Attention and memory are essential aspects of cognitive health. Yogasanas, pranayama, and meditation have shown to improve cognitive functions. There has been no assessment of Trataka (yogic visual concentration) on working or on spatial memory. The present study was planned to assess the immediate effects of Trataka and of eye exercise sessions on the Corsi-block tapping task (CBTT).Methods: A total of 41 healthy volunteers of both genders with age 23.21 ± 2.81 years were recruited. All participants underwent baseline assessment, followed by 2 weeks of training in Trataka (including eye exercise). Each training session lasted for 20 min/day for 6 days a week. After completion of the training period, a 1-week washout period was given. Each participant then was assessed in two sessions in Trataka and in eye exercise on two separate days, maintaining the same time of the day. Repeated measure analysis of variance with Holm’s adjustment was performed to check the difference between the sessions.Results: Significant within-subjects effects were observed for forward Corsi span andforward total score (p &lt; 0.001), and also for backward Corsi span (p &lt; 0.05) and backward total score (p &lt; 0.05). Post hoc analyses revealed Trataka session to be better than eye exercises and baseline. The eye exercise session did not show any significant changes in the CBTT.Conclusion: The result suggests that Trataka session improves working memory, spatial memory, and spatial attention.


2021 ◽  
Vol 15 ◽  
Author(s):  
Xinjun Suo ◽  
Lining Guo ◽  
Dianxun Fu ◽  
Hao Ding ◽  
Yihong Li ◽  
...  

Currently, comparative studies evaluating the quantification accuracy of pyramidal tracts (PT) and PT branches that were tracked based on four mainstream diffusion models are deficient. The present study aims to evaluate four mainstream models using the high-quality Human Connectome Project (HCP) dataset. Diffusion tensor imaging (DTI), diffusion spectral imaging (DSI), generalized Q-space sampling imaging (GQI), and Q-ball imaging (QBI) were used to construct the PT and PT branches in 50 healthy volunteers from the HCP. False and true PT fibers were identified based on anatomic information. One-way repeated measure analysis of variance and post hoc paired-sample t-test were performed to identify the best PT and PT branch quantification model. The number, percentage, and density of true fibers of PT obtained based on GQI and QBI were significantly larger than those based on DTI and DSI (all p &lt; 0.0005, Bonferroni corrected), whereas false fibers yielded the opposite results (all p &lt; 0.0005, Bonferroni corrected). More trunk branches (PTtrunk) were present in the four diffusion models compared with the upper limb (PTUlimb), lower limb (PTLlimb), and cranial (PTcranial) branches. In addition, significantly more true fibers were obtained in PTtrunk, PTUlimb, and PTLlimb based on the GQI and QBI compared with DTI and DSI (all p &lt; 0.0005, Bonferroni corrected). Finally, GQI-based group probabilistic maps showed that the four PT branches exhibited relatively unique spatial distributions. Therefore, the GQI and QBI represent better diffusion models for the PT and PT branches. The group probabilistic maps of PT branches have been shared with the public to facilitate more precise studies on the plasticity of and the damage to the motor pathway.


2021 ◽  
Vol 12 (4) ◽  
Author(s):  
Shahrokh Amiri ◽  
Sara Farhang ◽  
Mahmoud Shekari Khaniani ◽  
Sima Mansouri Derakhshan ◽  
Aziz Zadfattah ◽  
...  

Background: Drug treatment is one of the most important treatments for attention deficit hyperactivity disorder (ADHD). The DRD4 gene is a transporter and receptor coding gene of dopamine and is one of the most important genes under investigation in the disorder and etiology of ADHD. In this study, the association between rs3758653 C/T and VNTR exon 3 repetition polymorphisms of the DRD4 gene and the effects of methylphenidate were investigated in patients with ADHD disorder consuming methylphenidate. Methods: The descriptive-analytical study was performed on 122 patients (5 - 18 years old) with ADHD who were treated with methylphenidate. DNA was extracted using salting out method. Subsequently, the rs3758653 polymorphism in the 5'UTR region of DRD4 gene was genotyped by PCR-RFLP method, and the VNTR fragment in exon III of DRD4 gene was investigated by electrophoresis gel on acrylamide gel method. After eight weeks from the start of drug treatment with methylphenidate, the intensity of symptoms was evaluated using the Conners scale. Finally, all data from questionnaires and information that were resulted from laboratory findings were analyzed using ANOVA and repeated measure analysis. Results: Of the 122 patients under study, 15 patients (12.3%) were responded to the drug treatment, and 107 patients (87.7%) were not responded. The significant differences were not revealed in genotype, and allele frequencies of between rs3758653 (C/T) and exon III 3'VNTR repeats polymorphisms of the DRD4 gene and responder and non-responder of ADHD groups to the drug treatment. Conclusions: The results showed that the reduction of ADHD symptoms with drug treatment is not related to DRD4 sub-types in patients with ADHD.


Author(s):  
Hsueh-Wen Chow ◽  
Kun-Tang Chang ◽  
I-Yao Fang

Despite the popularity of outdoor fitness equipment (OFE) in public spaces with the aim of increasing physical activity (PA), very little research has been conducted to investigate the effectiveness of the equipment’s use, especially for achieving the target fitness goal. This study designed an OFE training protocol incorporating four modalities of PA: endurance (air walker and ski machine), resistance (rowing machine and bonny rider), flexibility (arm stretch and shoulder wheel), and balance exercise (waist twister). Seniors who completed the protocol demonstrated that for endurance training, participants were at moderate intensity from heart rate and perceived exertion, while significantly improving cardiac endurance in the two min step test. For resistance/flexibility/balance interventions, only the handgrip strength test, the 30 s chair stand test, the right-hand shoulder flexion test, the right-hand shoulder horizontal abduction test, the single-leg stance test, and the eyes open foam surface clinical test for sensory balance were significant, using a repeated measure analysis of variance. The results demonstrated that older adults aim for the OFE target for specific fitness goals can reach moderate intensity and improve their cardiorespiratory endurance. Yet, results for resistance/flexibility/balance are inconclusive. More studies are needed to carefully assess the effectiveness of using OFE.


2021 ◽  
Vol 7 (1) ◽  
pp. 25-36
Author(s):  
Devinta Nurul Fitriana ◽  
Indri Sudanawati Rozas ◽  
Noor Wahyudi

Proses bisnis adalah suatu kumpulan aktivitas atau pekerjaan terstruktur yang saling terkait dalam sebuah organisasi untuk menghasilkan produk atau layanan. Untuk kualitas produk dan layanan, tentu diperlukan proses bisnis yang efektif dan efisien. Selama ini proses bisnis masih banyak digambarkan dalam bentuk gambar mati berupa flowchart, karena belum mengenal notasi bernama BPMN (Business Process Model and Notation) yang bisa membuat gambar proses bisnis sekaligus memodelkannya dalam sebuah simulasi. Dengan menggunakan BPMN dapat disimulasikan proses bisnis yang paling efektif dan efisienuntuk menghasilkan produk atau layanan organisasi. Penelitian ini mengimplementasikan BPI (Business Process Improvement) dengan metode lean management, dan framework DMAIC (Define, Measure, Analysis, Improve, Control). DMAIC digunakan untuk perbaikan proses bisnis secara bertahap. Tools yang digunakan dalam membantu DMAIC pada penelitian ini diantaranya yaitu diagram SIPOC (Supplier, Input, Process, Output, Customer), identifikasi CTQ (Critical to Quality), mengukur kapabilitas proses menggunakan DPMO (Defects Per Million Opportunities), root cause analysis, kemudian disimulasikanmenggunakan toolBizagi Modeler. Dari penelitian pada proses bisnis STAI Attanwir diperoleh hasil bahwa ada dari 46 proses bisnis ada 15 yang mengalami waste. Dari 7 jenis waste, di STAI Attanwir ada 2 waste yang terjadi yaitu waste waiting dan waste movement. Dari 15 proses bisnis As-Is dan To-Be yang mengalami waste tersebut setelah dilakukan simulasi menggunakan BPI diperoleh hasil 12 proses bisnis mengalami perubahan yang signifikan dari segi waktu dan sumber daya. Namun ada 3 proses bisnis yang tingkat utilizationnya tetap tidak normal meskipun sudah dilakukan improvement.


2021 ◽  
Vol 45 (6) ◽  
pp. 1079-1090
Author(s):  
Young Sam Oh ◽  
Na Kyoung Song

Objectives: This research examines social distancing changes over time, and by region of the United States after the COVID-19 pandemic began. Methods: We utilized information on social distancing from the Google Community Mobility Reports. We performed one-way repeated-measure analysis of variance (RM-ANOVA) to examine the overall changes in the 6 types of social distancing from baseline to the 12-week follow-up (March 1 to May 24, 2020). We applied a 2-way RM-ANOVA to evaluate the effects of time and 4 regions on social distancing. Results: According to one-way RM-ANOVA results, social distancing tended to increase until Time 3 (March 30 to April 12) and 4 (April 13 to April 26), before decreasing again, regardless of the area. The 2-way RM-ANOVA results revealed that the social distancing variations in the 6 area types over time were statistically significant in each region, along with the interaction of regions and time. Compared to other regions, social distancing was the highest in the Northeast area, except in park areas. Conclusions: We found that social distancing can be influenced not only by contagion changes, but also by regional differences. Understanding the features of social distancing can play a significant role in helping society build a promising COVID-19 prevention model.


2021 ◽  
Vol 35 (5) ◽  
pp. 403-408
Author(s):  
Subhendu Bhusan Rout ◽  
Sasmita Mishra ◽  
Susanta Kumar Sahoo

The protein secondary structure prediction (PSP) of the large biological molecule protein is an important task of bioinformatics and in the last decades many machines learning and soft computing methodologies play vital roles in achieving satisfactory results. The protein structural class determination is an important topic in protein science because an idea about protein structural class is quite useful to know about the changes and reaction of a living body in order to design new drugs and medicines. Though several hard computing techniques may be helpful in these areas but focusing upon the steady development and big data size in protein sequences that are entering into databanks, it is a challenge to do experiments with the hard computing techniques. Soft computing techniques like Artificial Neural Network, Fuzzy logic, Genetic Algorithm play a vital role for these types of genomic researches. To face these complex challenges, this article presents a novel method to predict the protein structure by using Genetic Algorithm. The Q3 accuracy and SOV measure analysis with SOVH, SOVE, SOVC value of respective α-helix (H), β-sheet (E) and coil/loop(C) structures are also discussed. The application of Genetic algorithm i.e. the proposed technique GApred provides better result than that of SPIDER2, JPred4, FSVM and SSpro5 for all the three datasets in the experiment. This method is helpful for distinct protein secondary structure prediction and a significant success rate was observed, which indicates that it can be used as a powerful tool in drug design and medicine research.


Author(s):  
Tingji Chen ◽  
Yanting Sun ◽  
Chengzhi Feng ◽  
Wenfeng Feng

Abstract. Emotional signals from the face and body are normally perceived as an integrated whole in everyday life. Previous studies have revealed an incongruent effect which refers to distinctive behavioral and neural responses to emotionally congruent versus incongruent face-body compounds. However, it remains unknown which kind of the face-body compounds caused the incongruence effect. In the present study, we added neutral face and neutral body stimuli to form new face-body compounds. Forty subjects with normal or corrected-to-normal vision participated in this experiment. By comparing the face-body compounds with emotional conflict and face-body compounds with neutral stimuli, we could investigate the source of the incongruent effect. For both behavioral and event-related potential (ERP) data, a 2 (bodily expression: happiness, fear) × 2 (congruence: congruent, incongruent) repeated-measure analysis of variance (ANOVA) was performed to re-investigate the incongruent effect and a 3 (facial expression: fearful, happy, neutral) × 3 (bodily expression: fearful, happy, neutral) repeated-measure ANOVA was performed to clarify the source of the incongruent effect. As expected, both behavioral and ERP results have successfully repeated the incongruent effect. Specifically, the behavioral data showed that emotionally congruent versus incongruent face-body compounds were recognized more accurately ( p < .05). The ERP component of N2 was modulated by the emotional congruency between the facial and bodily expression showing that the emotionally incongruent compounds elicited greater N2 amplitudes than emotionally congruent compounds ( p < .05). No incongruent effect was found for P1 or P3 component ( p = .079, p = .99, respectively). Furthermore, by comparing the emotionally incongruent pairs with the neutral baseline, the present study suggests that the source of the incongruent effect might be from the happy face-fearful body compounds. We speculate that the emotion expressed by the fearful body was much more intensive than the emotion expressed by the happy body and thus caused a stronger interference in judging the facial expressions.


Author(s):  
Omid Hamidi ◽  
Seyed Reza Borzu ◽  
Saman Maroufizadeh ◽  
Payam Amini

Introduction: One of the complications of hemodialysis treatment is hypotension, which can increase morbidity and mortality and compromise dialysis efficacy. Dialysate temperature is an important factor that contributes to hemodynamic stability during hemodialysis. This study investigated the effect of dialysate temperature on the patients' blood pressure and pulse rate. Model-based approaches were used to produce more reliable results compared with traditional methods. Methods: A total of 30 patients were studied during 9 dialysis sessions. Dialysate temperatures were 37° C, 36° C and 35° C. A joint longitudinal model was used to analyze both responses of blood pressure and pulse rate, simultaneously. Results: The results showed that low-dialysate temperature was not significantly associated with higher systolic blood pressure (p>0.05) or a higher pulse rate (p>0.05) either during or after dialysis. Pulse rate and blood pressure were higher for women during dialysate (p<0.001). However, increasing age was associated with higher blood pressure and a lower pulse rate (p<0.001). Conclusion: Using several separate, repeated measure analysis of variances may produce misleading results, when there is more than one response variable measured over time, Multivariate statistical methods (including joint longitudinal models), should be used.  


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