Implementation of Barcode Technology to Logistics Processes of a Company

The article focuses on expanding the use of barcodes in selected logistics activities in a company. Our study discusses the application of barcode technology to selected logistics activities in the company in order to address the error rate in these activities and to control ownership of this technology in other logistics activities within the company during the COVID-19. The priority of the testing phase was to point out the elimination of errors in the original versus the newly proposed solution for the company on 10 products. In the test phase, the 10 products with the highest turnover in the company were used to point out the elimination of errors in various logistics activities, especially the time saved compared to the work of human personnel in the company. The company has this technology at its disposal, in the parent company as well as in the subsidiary. It was only a matter of expanding the use and applicability of this technology as well as other possibilities for research hypotheses, which we outlined at the end of the article. In this article, we focus on RFID and barcode technologies, since the company initially considered using RFID technology, however, chose the use of barcodes because it was an already known work technology. The current situation affected with COVID-19 disease requires many advantages and disadvantages of both technologies.

Activation of the Brain During Motor Imagination Task with Auditory Stimulation

Background: Auditory feedback is one of the most important feedback in cognitive process. It plays an important guiding role in cognitive motor process. However, previous studies on auditory stimuli mainly focused on the cognitive effects of auditory stimuli on cortex, while the role of auditory feedback stimuli in motor imagery tasks is still unclear.Methods: 18 healthy subjects were recruited to complete the motor imagination task stimulated by meaningful words and meaningless words. In order to explore the role of auditory stimuli in motor imagination tasks, we studied EEG power spectrum, frontal parietal mismatch negativity (MMN) and inter test phase-locked consistency (ITPC). one-way Analysis of Variance (ANOVA) and Least Significant Difference (LSD) correction were used to test the differences between the two experimental groups and the differences of different bands in each experimental group.Results: EEG power spectrum analysis showed that the activity of contralateral motor cortex was significantly increased under the stimulation of meaningful words, and the amplitude of mismatch negative wave was also significantly increased. ITPC is mainly concentrated in μ, α and γ bands in the process of motor imagery task guided by the auditory stimulus of meaningful words, while it is mainly concentrated in the β band under the meaningless words stimulation.Conclusions: This results may be due to the influence of auditory cognitive process on motor imagery. We speculate that there may be a more complex mechanism for the effect of auditory stimulation on the inter test phase lock consistency. When the stimulus sound has the corresponding meaning to the motor action, the parietal motor cortex may be more affected by the prefrontal cognitive cortex, thus changing its normal response mode. This mode change is caused by the joint action of motor imagination, cognitive and auditory stimuli. This study provides a new insight into the neural mechanism of motor imagery task guided by auditory stimuli, and provides more information on the activity characteristics of the brain network in motor imagery task by cognitive auditory feedback.

Development of a New Smartphone Application to Increase Dietary Compliance in Patients with Chronic Kidney Disease

Aim: Nutritional therapy in chronic kidney disease (CKD) requires certain regulations in the diet of the patients. Patients’ self-management becomes possible with the development of mobile phones and their software. In the current study, a smartphone application that could be used to increase dietary compliance of CKD stage 4-5 and hemodialysis patients was developed. It is aimed that patients can control the dietary intake of energy, protein, sodium, potassium, phosphorus, and fluid by using the developed mobile application. Subjects and Method: The mobile application has been developed by the researchers until the final control and test phase. Later, the final control and test phase of the developed application were carried out by 5 expert dietitians, 5 specialist doctors, and 5 hemodialysis patients. Results: The majority of the participants stated that the application was easy to use, interesting, visually well designed, contains sufficient reliable information, and that they can recommend it to other patients. Participants who examined the application also offered suggestions about the application. Conclusion: The application was updated according to the evaluations and suggestions of the participants. The final application was formed to be ready for the use of the patients.

Case study Application of Business Intelligence in Digital Advertising

This paper demonstrates the application of business intelligence in decision-making in digital advertising through a case study. Data used for analysis was collected during a test phase of an advertising platform. The study analyzes multiple types of traffic, related to countries, browsers, household incomes, and days of a week. Beside tabular reports, the paper presents how to visualize those results using Python libraries to make them more visually appealing. Furthermore, logistic regression was used to build models to detect relationships between the number of impressions and clicks. Finally, the authors propose multiple combinations of data that could be used to create different reports that lead to smarter decision-making and cost-effectiveness.

The role of implicit learning and cue ambiguity on the subjective experience of affective predictions: a follow-up behavioral investigation.

People use their previous experience to predict present affective events. Since we live in ever-changing environments, affective predictions must generalize from past contexts (from which they are implicitly learned) to new, potentially ambiguous contexts. This study investigated how past (un)certain relationships influence subjective experience following new ambiguous cues, and whether past relationships can be learned implicitly. Two S1-S2 paradigms were employed as learning and test phases in two experiments. S1s were colored circles, S2s negative or neutral affective pictures. Participants (N = 121, 116) were assigned to the certain (CG) or uncertain group (UG), and they were presented with 100% (CG) or 50% (UG) S1-S2 congruency during an uninstructed (Experiment 1) or implicit (Experiment 2) learning phase. During the test phase both groups were presented with a new 75% S1-S2 paradigm, and ambiguous (Experiment 1) or unambiguous (Experiment 2) S1s. Participants were asked to rate the expected valence of upcoming S2s (expectancy ratings), or their experienced valence and arousal (valence and arousal ratings). In Experiment 1 ambiguous cues elicited less negative expectancy ratings, and less unpleasant valence ratings, independently from prior experience. In Experiment 2, participants in the CG reported more negative expectancy ratings after the S1s previously paired with negative stimuli. Overall, we found that in the presence of ambiguous cues subjective affective experience is dampened, and we confirmed that people are able to infer probabilistic relationships from the environment (and to use them later) at an implicit level.

Abnormal Detection in Big Data Video with an Improved Autoencoder

With the rapid growth of video surveillance data, there is an increasing demand for big data automatic anomaly detection of large-scale video data. The detection methods using reconstruction errors based on deep autoencoders have been widely discussed. However, sometimes the autoencoder could reconstruct the anomaly well and lead to missing detections. In order to solve this problem, this paper uses a memory module to enhance the autoencoder, which is called the memory-augmented autoencoder (Memory AE) method. Given the input, Memory AE first obtains the code from the encoder and then uses it as a query to retrieve the most relevant memory items for reconstruction. In the training phase, the memory content is updated and encouraged to represent prototype elements of normal data. In the test phase, the learned memory elements are fixed, and reconstruction is obtained from several selected memory records of normal data. So, the reconstruction will tend to be close to normal samples. Therefore, the reconstruction of abnormal errors will be strengthened for abnormal detection. The experimental results on two public video anomaly detection datasets, i.e., Avenue dataset and ShanghaiTech dataset, prove the effectiveness of the proposed method.

Validation of the portable virtual reality training system for robotic surgery (PoLaRS): a randomized controlled trial

Background As global use of surgical robotic systems is steadily increasing, surgical simulation can be an excellent way for robotic surgeons to acquire and retain their skills in a safe environment. To address the need for training in less wealthy parts of the world, an affordable surgical robot simulator (PoLaRS) was designed. Methods The aim of this pilot study is to compare learning curve data of the PoLaRS prototype with those of Intuitive Surgical’s da Vinci Skills Simulator (dVSS) and to establish face- and construct validity. Medical students were divided into two groups; the test group (n = 18) performing tasks on PoLaRS and dVSS, and the control group (n = 20) only performing tasks on the dVSS. The performance parameters were Time, Path length, and the number of collisions. Afterwards, the test group participants filled in a questionnaire regarding both systems. Results A total of 528 trials executed by 38 participants were measured and included for analyses. The test group significantly improved in Time, Path Length and Collisions during the PoLaRS test phase (P ≤ 0.028). No differences was found between the test group and the control group in the dVSS performances during the post-test phase. Learning curves showed similar shapes between both systems, and between both groups. Participants recognized the potential benefits of simulation training on the PoLaRS system. Conclusions Robotic surgical skills improved during training with PoLaRS. This shows the potential of PoLaRS to become an affordable alternative to current surgical robot simulators. Validation with similar tasks and different expert levels is needed before implementing the training system into robotic training curricula.

Learning to diagnose X-rays: a neuroscientific study of practice-related activation changes in the prefrontal cortex

Objectives Medical expertise manifests itself by the ability of a physician to rapidly diagnose patients. How this expertise develops from a neural-activation perspective is not well understood. The objective of the present study was to investigate practice-related activation changes in the prefrontal cortex (PFC) as medical students learn to diagnose chest X-rays. Methods The experimental paradigm consisted of a learning and a test phase. During the learning phase, 26 medical students were trained to diagnose four out of eight chest X-rays. These four cases were presented repeatedly and corrective feedback was provided. During the test phase, all eight cases were presented together with near- and far-transfer cases to examine whether participants’ diagnostic learning went beyond simple rote recognition of the trained X-rays. During both phases, participants’ PFC was scanned using functional near-infrared spectroscopy. Response time and diagnostic accuracy were recorded as behavioural indicators. One-way repeated measures ANOVA were conducted to analyse the data. Results Results revealed that participants’ diagnostic accuracy significantly increased during the learning phase (F=6.72, p<0.01), whereas their response time significantly decreased (F=16.69, p<0.001). Learning to diagnose chest X-rays was associated with a significant decrease in PFC activity (F=33.21, p<0.001) in the left dorsolateral prefrontal cortex, the orbitofrontal area, the frontopolar area and the frontal eye field. Further, the results of the test phase indicated that participants’ diagnostic accuracy was significantly higher for the four trained cases, second highest for the near-transfer, third highest for the far-transfer cases and lowest for the untrained cases (F=167.20, p<0.001) and response time was lowest for the trained cases, second lowest for the near-transfer, third lowest for the far-transfer cases and highest for the untrained cases (F=9.72, p<0.001). In addition, PFC activity was lowest for the trained and near-transfer cases, followed by the far-transfer cases and highest for the untrained cases (F=282.38, p<0.001). Conclusions The results suggest that learning to diagnose X-rays is associated with a significant decrease in PFC activity. In terms of dual-process theory, these findings support the notion that students initially rely more on slow analytical system-2 reasoning. As expertise develops, system-2 reasoning transitions into faster and automatic system-1 reasoning.

Design Thinking as a Method for Developing Caregiver (and Other) Interventions

“Design Thinking,” an innovative, human-centric approach to problem-solving, seeks to ensure that design efforts “solve the right problem.” This presentation describes the Design Thinking process and illustrates its use in the context of three design studio sessions with of family caregivers of patients at the Integrated Memory Care Clinic (IMCC), a comprehensive medical home for persons living with dementia. The Design Thinking process entails five steps – Empathize, Define, Ideate, Prototype, Test – that engage consumers/end-users to identify, as precisely as possible, the issues or concerns that are most important to them and to further identify the possible solutions that seem to most fully address these concerns. The process can be described as one of divergent and convergent thinking. In the first session, the Empathize phase, IMCC caregivers were asked to think as broadly as possible about needs not being met by IMCC. These topics were reviewed more convergently in the second session, the Define phase; here the participants agreed on a shorter, prioritized list of needs to be addressed. In the third session (that combined the Ideate and pre-Prototype stages), participants identified 14 topics (interventions) they felt should be included in this program. Finally, in the Test phase, they assessed the topics and agreed that the most important need IMCC could address would be to provide a comprehensive orientation program for new caregivers. IMCC clinicians concurred with the salience of the problem to be solved and saw addressing it as contributing substantially to the improvement of IMCC clinical care.

Restoration of the anterior guide with the fixed prosthesis

The anterior guide is a functional entity, which is part of the set of guidance provided by the dento-dental joints to the mandibular kinematics, essential for the establishment of harmonious occlusal relations. The anterior guide is a key to understanding and reconstructing the occlusion, playing both a role of protecting the posterior teeth and guiding the functional movements of the mandible. Currently, it also represents an “exteroceptive feeler” creating a cone of access to the occlusion in intercuspation. The restoration of functional and protective anterior guidance is therefore essential for the balance of the masticatory system. This rehabilitation can only be achieved by examining and accurately diagnosing the occlusion relationships maintained by the anterior teeth, associated with a reasoned therapeutic approach validated by a test phase. After a brief description of the anterior function and its role, this article aims to detail, through a clinical case, the procedure to follow for the restoration of a functional anterior guide.