Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2019.05a
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pp.510-512
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2019
Recently, there have been growing requirements in the public safety sector to ensure safety through detection of hazardous situations or preemptive predictions. It is noteworthy that various sensor data can be analyzed and utilized as a result of mobile device's dissemination, and many advantages can be used in terms of safety and security. An effective modeling technique is needed to combine sensor data generated by smart-phones and wearable devices to analyze users' moving patterns and behavioral patterns, and to ensure public safety by fusing location-based crime risk data provided.
Purpose: This study reviewed screening and assessment tools that are used to measure delirium in patients with cancer in hospice and palliative care settings and examined their psychometric properties. Methods: Four databases were searched for studies using related search terms (delirium, tools, palliative care, cancer, and others). The inclusion criteria were a) studies that included screening/assessment tools for measuring delirium in cancer patients receiving hospice/palliative care, and b) studies published in English or Korean. The exclusion criteria were a) studies that were conducted in an intensive care setting, and b) case studies, qualitative studies, systematic reviews, or meta-analyses. Results: Out of the 81 studies identified, only 10 examined the psychometric properties of tools for measuring delirium, and 8 tools were ultimately identified. The psychometric properties of the Memorial Delirium Assessment Scale (MDAS) were the most frequently examined (n=5), and the MDAS showed good reliability, concurrent validity, and diagnostic accuracy. The Delirium Rating Scale had good reliability and diagnostic accuracy. The Delirium Rating Scale-Revised 98 also showed good reliability and structural validity, but its diagnostic performance was not examined in hospice/palliative care settings. The Nursing Delirium Screening Scale showed relatively low diagnostic accuracy. Conclusion: The MDAS showed evidence of being a valid assessment tool for assessing delirium in patients with cancer in palliative care. Few studies examined the diagnostic performance of delirium tools. Therefore, further studies are needed to examine the diagnostic performance of screening/assessment tools for the optimal detection of delirium in patients with cancer in hospice/palliative care.
Horse breeders suffer massive economic losses due to dystocia, abortion, and stillbirths. In Thoroughbred mares, breeders often miss the foaling process because approximately 86% of the foaling events occur from 19:00 to 7:00; consequently, breeders cannot assist mares experiencing dystocia. To solve this problem, various foaling alarm systems have been developed. However, there is a need to develop a new system to overcome the shortcomings of the existing devices and improve their accuracy. To this end, the present study aimed to (1) develop a novel foaling alarm system and (2) compare its accuracy with that of the existing FoalertTM system. Specifically, eighteen Thoroughbred mares (11.9 ± 4.0 years old) were included. An accelerometer was used to analyze specific foaling behaviors. Behavioral data were transmitted to a data server every second. Depending on the acceleration value, behaviors were automatically classified by the server as categorized behaviors 1 (behaviors without change in body rotation), 2 (behaviors with sudden change in body rotation, such as rolling over), and 3 (behaviors with long-term change in body rotation, such as lying down laterally). The system was designed to alarm when the duration of categorized behaviors 2 and 3 was 12.9% and that of categorized behavior 3 was 1% during 10 min. The system measured the duration of each categorized behavior every 10 min and transmitted an alarm to the breeders when foaling was detected. To confirm its accuracy, the foaling detection time of the novel system was compared with that of FoalertTM. The novel foaling alarm system and FoalertTM alarmed foaling onset respectively 32.6 ± 17.9 and 8.6 ± 1.0 min prior to foal discharge, and the foaling detection rate of both systems was 94.4%. Therefore, the novel foaling alarm system equipped with an accelerometer can precisely detect and alert foaling onset.
Habeeb, Tajudeen;Joseph, Moturi;Abdolreza, Hosseindoust;SangHun, Ha;Jun Young, Mun;YoHan, Choi;SooJin, Sa;JinSoo, Kim
Journal of Animal Science and Technology
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v.64
no.4
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pp.782-791
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2022
The purpose of this study is to evaluate the effects of multiple cooling systems and different drinking water temperatures (DWT) on the performance of sows and their hair cortisol levels during heat stress. In this study, the effect of four different cooling systems: air conditioner (AC), cooling pad (CP), snout cooling (SC), and mist spray (MS), and two DWT, namely low water temperature (LWT) and high water temperature (HWT) on 48 multiparous sows (Landrace × Yorkshire; 242.84 ± 2.89 kg) was tested. The experiment is based on the use of eight replicas during a 21-days test. Different behaviors were recorded under different cooling treatments in sows. As a result, behaviors such as drinking, standing, and position change were found to be lower in sows under the AC and CP treatments than in those under the SC and MS treatments. Lying behavior increased under the AC and CP systems as compared with that under the SC and MS, systems. The average daily feed intake (ADFI) in sows and weight at weaning in piglets was higher under the AC, CP, and LWT treatments than under the SC, MS and HWT treatments. Sows subjected to SC and MS treatment showed higher hair cortisol levels, rectal temperature, and respiratory rate during lactation than those under AC and CP treatments. Hair cortisol levels, rectal temperature, and respiratory rate were also higher under the HWT than under the LWT treatment. As per the results of this study, the LWT has no significant effect on any of the behavioral factors. Taken together, the use of AC and CP cooling treatment is highly recommended to improve the behavior and to reduce the stress levels in lactating sows.
Lee, Hyun Jun;Kim, Sang Back;Boo, Kyung Jun;Ortiz, Darlene Mae;Sayson, Leandro Val;Custodio, Raly James Perez;Cheong, Jae Hoon;Kim, Seul Ki;Kim, Mikyung;Kim, Hee Jin
Natural Product Sciences
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v.28
no.2
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pp.68-74
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2022
HemoHIM was used as a Korean traditional medicine for anti-inflammatory and antioxidant effects. However, there is no study on the effect of HemoHIM on fatigue. We examined the potential use of HemoHIM to determine whether it can induce anti-fatigue effects. Mice were administered with HemoHIM and VEH for 14 days. On the last day of treatment, mice were subjected to behavioral tests. Subsequently, their plasma and muscle were collected after the treadmill test to measure lactate, lactate dehydrogenase (LDH), ammonia, corticosterone, glycogen, and creatine kinase (CK). We found that HemoHIM moderately increased the running time (s) in the treadmill and mobility duration in the cold swimming tests. In addition, the VEH group showed a significant increase in lactate, LDH, and corticosterone levels in the plasma compared to the group that did not perform the test. However, this was moderately reduced in HemoHIM treatment. Moreover, the HemoHIM-treated group showed significant differences in LDH and glycogen levels, and showed significantly different CK levels in the muscle. HemoHIM is considered to be effective in improving fatigue, given the duration of cold swimming or running time on a treadmill. Also, HemoHIM treatment resulted in reduced concentrations of blood and muscle parameter analysis.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2022.05a
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pp.6-8
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2022
Web log analysis is one of the essential procedures for service improvement. ScienceON is a representative information service that provides various S&T literature and information, and we analyze its logs for continuous improvement. This study aims to analyze ScienceON web logs recorded in May 2020 and May 2021, dividing them into humans and web crawlers and performing an in-depth analysis. First, only web logs corresponding to S (search), V (detail view), and D (download) types are extracted and normalized to 658,407 and 8,727,042 records for each period. Second, using the Python 'user_agents' library, the logs are classified into humans and web crawlers, and third, the session size was set to 60 seconds, and each session is analyzed. We found that web crawlers, unlike humans, show relatively long for the average behavior pattern per session, and the behavior patterns are mainly for V patterns. As the future, the service will be improved to quickly detect and respond to web crawlers and respond to the behavioral patterns of human users.
Hyunsoo Kim;Woo-Do Lee;Hyung-Kwan Jang;Min Kang;Hwan-Ku Kang
Journal of Animal Science and Technology
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v.65
no.2
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pp.441-458
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2023
The poultry industry, which produces excellent sources of protein, suffers enormous economic damage from diseases. To solve this problem, research is being conducted on the early detection of infection according to the behavioral characteristics of poultry. The purpose of this study was to evaluate the potential of a non-movement behavior observation method to detect sick chickens. Forty 1-day-old Ross 308 males were used in the experiments, and an isolator equipped with an Internet Protocol (IP) camera was fabricated for observation. The chickens were inoculated with Salmonella enterica serovar Gallinarum A18-GCVP-014, the causative agent of fowl typhoid (FT), at 14 days of age, which is a vulnerable period for FT infection. The chickens were continuously observed with an IP camera for 2 weeks after inoculation, chickens that did not move for more than 30 minutes were detected and marked according to the algorithm. FT infection was confirmed based on clinical symptoms, analysis of cardiac, spleen and liver lesion scores, pathogen re-isolation, and serological analysis. As a result, clinical symptoms were first observed four days after inoculation, and dead chickens were observed on day six. Eleven days after inoculation, the number of clinical symptoms gradually decreased, indicating a state of recovery. For lesion scores, dead chickens scored 3.57 and live chickens scored 2.38. Pathogens were re-isolated in 37 out of 40 chickens, and hemagglutination test was positive in seven out of 26 chickens. The IP camera applied with the algorithm detected about 83% of the chickens that died in advance through non-movement behavior observation. Therefore, observation of non-movement behavior is one of the ways to detect infected chickens in advance, and it appears to have potential for the development of remote broiler management system.
The Journal of the Korea institute of electronic communication sciences
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v.17
no.2
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pp.375-386
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2022
As information asset protection is recognized as an important management factor for organizations, organizations are increasing their investments in information security(IS) policies and technologies. However, strict application of IS may cause non-compliance behavior through IS stress on employees of the organization. Accordingly, this study suggests a mechanism by which employee stress affects IS compliance intentions through self-determination, and a method to reinforce IS compliance intentions through person-organization fit. We conducted an online survey of employees working at companies that adopted IS policies and tested hypotheses using 475 samples. First, as a result of analyzing the main effects of applying the structural equation model, role stress affected IS compliance intention through self-determination. Second, as a result of analyzing the moderating effect of applying Process 3.1, personal organization fit strengthened the relationship between self-determination and IS compliance intention. The research suggests a direction for achieving internal IS goals by confirming the influence of IS stress and behavioral causes of employees.
Christopher Owens;Aurora B. Le;Todd D. Smith;Susan E. Middlestadt
Safety and Health at Work
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v.14
no.2
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pp.201-206
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2023
Background: Despite workplaces having policies on fire evacuation, many employees still fail to evacuate when there is a fire alarm. The Reasoned Action Approach is designed to reveal the beliefs underlying people's behavioral decisions and thus suggests causal determinants to be addressed with interventions designed to facilitate behavior. This study is a uses a Reasoned Action Approach salient belief elicitation to identify university employees' perceived advantages/disadvantages, approvers/disapprovers, and facilitators/barriers toward them leaving the office building immediately the next time they hear a fire alarm at work. Methods: Employees at a large public United States Midwestern university completed an online cross-sectional survey. A descriptive analysis of the demographic and background variables was completed, and a six-step inductive content analysis of the open-ended responses was conducted to identify beliefs about leaving during a fire alarm. Results: Regarding consequence, participants perceived that immediately leaving during a fire alarm at work had more disadvantages than advantages, such as low risk perception. Regarding referents, supervisors and coworkers were significant approvers with intention to leave immediately. None of the perceived advantages were significant with intention. Participants listed access and risk perception as significant circumstances with the intention to evacuate immediately. Conclusion: Norms and risk perceptions are key determinants that may influence employees to evacuate immediately during a fire alarm at work. Normative-based and attitude-based interventions may prove effective in increasing the fire safety practices of employees.
Quentin Durand-Moreau;Tanya Jackson;Danika Deibert;Charl Els;Janice Y. Kung;Sebastian Straube
Safety and Health at Work
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v.14
no.3
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pp.250-258
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2023
The effectiveness of mindfulness techniques in addressing mental health conditions in workers is uncertain. However, it could represent a therapeutic tool for workers presenting with such conditions. Our objective was to assess the effects of mindfulness-based practices for workers diagnosed with mental health conditions. We conducted a systematic review of randomized controlled trials. Participants included were workers with a mental health condition. Interventions included any mindfulness technique, compared to any nonmindfulness interventions. Outcomes were scores on validated psychiatric rating scales. A total of 4,407 records were screened; 202 were included for full-text analysis; 2 studies were included. The first study (Finnes et al., 2017) used Acceptance and Commitment Therapy (ACT) associated or not with Workplace Dialogue Intervention (WDI), compared to treatment as usual. At 9 months follow-up, for the ACT group, depression scores improved marginally (standardized mean difference [SMD]: -0.06, p = 0.021), but anxiety scores were worse (SMD: 0.15, p = 0.036). Changes in mental health outcomes were not statistically significant for the ACT + WDI group. In the second study (Grensman et al., 2018), no statistically significant change in mental health scales has been observed after completion of mindfulness-based cognitive therapy compared to cognitive behavioral therapy. Substantial heterogeneity precluded meta-analysis. This systematic review did not find evidence that mindfulness-based practices provide a durable and substantial improvement of mental health outcomes in workers diagnosed with mental health conditions.
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