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Journal articles on the topic 'Working activity'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Nikolayev, Alexander A. "MOTIVATION OF THE WORKING ACTIVITY." Scientific Review. Series 2. Human sciences, no. 1 (2018): 26–34. http://dx.doi.org/10.26653/2076-4685-2018-1-03.

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2

YOSHIMOTO, Atsushi. "Activity of FORMAT Working Group." Japanese Journal of Forest Planning 37, no. 2 (2003): 61–64. http://dx.doi.org/10.20659/jjfp.37.2_61.

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3

Dash, P. K., A. N. Moore, N. Kobori, and J. D. Runyan. "Molecular activity underlying working memory." Learning & Memory 14, no. 8 (2007): 554–63. http://dx.doi.org/10.1101/lm.558707.

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4

Lundqvist, Mikael, Pawel Herman, and Earl K. Miller. "Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not." Journal of Neuroscience 38, no. 32 (2018): 7013–19. http://dx.doi.org/10.1523/jneurosci.2485-17.2018.

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5

Divett, Megan. "Team dynamics within activity-based working." Journal of Facilities Management 18, no. 3 (2020): 181–94. http://dx.doi.org/10.1108/jfm-10-2019-0054.

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Purpose This paper aims to evaluate perceptions of leaders and team members on productivity, satisfaction and leader-led team dynamics within an activity-based, flexible environment compared to an open plan workplace. Design/methodology/approach This study uses cross-sectional (N = 1,275) and longitudinal survey data (N = 138) collected from three offices in Australia. Baseline responses were collected 3–12 months prior to the transition into a new environment and comparison responses were collected after at least three months of working in the new environment. Paired sample t-tests and linear regression were used. Findings Team members were more satisfied and felt more productive within the activity-based working (ABW) environment compared to the open plan workplace. Leaders were more satisfied and felt team productivity improved, yet individual productivity for leaders remained the same. Occupants felt the key drivers of productivity were team Interaction and decision-making. Research limitations/implications This study focused on one activity-based building based in Australia that was consciously designed for individual focus, team working and cross-team collaboration. This style of workplace may not be representative of all activity-based environments. Originality/value Most research into ABW has relied on cross-sectional data. This study also adopts a within group, longitudinal approach to directly compare the perceptions of the same individuals over time. Activity-based environments are changing the way we think of leaders and the way they encourage productivity. This study showed that despite relinquishing an office, leaders were more satisfied and equally productive within an activity-based environment. The study also showed that teams realise greater productivity by focussing on team interaction and effective decision-making.

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Skogland, Mari Anna Chatarina. "The mindset of activity-based working." Journal of Facilities Management 15, no. 1 (2017): 62–75. http://dx.doi.org/10.1108/jfm-05-2016-0016.

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Purpose The study aims to provide insight on the relationship between a newly implemented workplace concept, its intentions, the actual use and ultimately its ability to function as a strategic tool. By addressing the intended and unintended consequences of planned spatial arrangements, the interest lies in studying underlying factors affecting the concepts’ ability to function as a strategic tool. Design/methodology/approach The case study builds on semi-structured interviews and observational studies from a larger Norwegian organisation that recently implemented an activity-based workplace concept. Concept descriptions and architectural drawings have also been important sources to study how the concept was interpreted and used by different groups. Findings Taking a socio-material perspective, the findings illustrate that spatial aspects and different concept structures, together with issues such as employee mobility and time spent in the office, different work processes, management style and departmental cultures influenced the way the activity-based workplace concept was perceived and taken into use. Originality/value The findings indicate that social and cultural aspects may play a more significant role in the adaptation process than previously emphasised. The article further provides knowledge on how organisations, in planning and implementation of such concepts, may address the right issues to overcome challenges and achieve the higher strategic ends.

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7

Angrave, David, Andy Charlwood, and Mark Wooden. "Long working hours and physical activity." Journal of Epidemiology and Community Health 69, no. 8 (2015): 738–44. http://dx.doi.org/10.1136/jech-2014-205230.

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8

Constantinidis, Christos, Shintaro Funahashi, Daeyeol Lee, et al. "Persistent Spiking Activity Underlies Working Memory." Journal of Neuroscience 38, no. 32 (2018): 7020–28. http://dx.doi.org/10.1523/jneurosci.2486-17.2018.

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9

Fincke, Isabelle, Amy Hieb, Volker Harth, and Stefanie Mache. "Activity-based working: Qualitative analysis of working conditions and health-related outcomes." Work 67, no. 3 (2020): 625–39. http://dx.doi.org/10.3233/wor-203313.

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BACKGROUND: The changing of work, driven by digitization, leads to the demand of large, open spaces in which the employees can work alone or in teams, can hold meetings or even find corners to relax. OBJECTIVE: This study empirically analyzed job demands and resources that can be found in innovative office concepts, like so called “activity-based working concepts”. METHODS: 16 semi-structured face-to-face interviews were performed with employees working in activity-based offices. Content of the interviews included questions on their working conditions and health-related outcomes. RESULTS: The results show that work autonomy, the flexibility to decide where and when to work, and an improved communication and collaboration between different departments had a perceived positive effect on well-being, performance and motivation. Job demands, like missing territoriality on individual and team level, limited privacy and distractions in form of noise and interruptions describe consequences in form of perceived strain. CONCLUSION: The study results contribute to the expansion of knowledge in the subject area of flexible work arrangements in open work spaces. They can serve to design future working environments and thus increase the well-being and job performance of employees. It needs additional research to investigate the effects of office designs on the health of employees in the long term.

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10

Dombrowski, Jill J. "Barriers to Physical Activity among Working Mothers." AAOHN Journal 59, no. 4 (2011): 161–67. http://dx.doi.org/10.1177/216507991105900402.

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11

Salmon, E., M. Van der Linden, F. Collette, et al. "Regional brain activity during working memory tasks." Brain 119, no. 5 (1996): 1617–25. http://dx.doi.org/10.1093/brain/119.5.1617.

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12

Bova, Russell. "Informal Activity and the Soviet Working Class." Nationalities Papers 18, no. 2 (1990): 42–49. http://dx.doi.org/10.1080/00905999008408167.

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I will be focusing on unofficial or informal social-political activities that Soviet workers have been engaged in over the course of the last several years and, particularly, over the course of the last several months. But first, as a way of introducing that discussion of informal or unofficial activity, I would like to step back to 1987 and look at attempts on the part of the Gorbachev regime to preempt unofficial activity on the part of workers, both in order to be better able to control those activities and to use them for Gorbachev's own political purposes. From this discussion I would make the case that the failure of those attempts has lead more recently to the growth of unofficial activity among Soviet workers.

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13

SATO, Masahiko, and Takashi UEDA. "Working Activity of Cutting Grains in Grinding." Journal of the Japan Society for Precision Engineering 67, no. 11 (2001): 1850–55. http://dx.doi.org/10.2493/jjspe.67.1850.

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14

Sobotka, Stanislaw, Mark D. Diltz, and James L. Ringo. "Can Delay-Period Activity Explain Working Memory?" Journal of Neurophysiology 93, no. 1 (2005): 128–36. http://dx.doi.org/10.1152/jn.01002.2003.

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Working-memory tasks often lead to elevated delay-period discharge rates in cortical neurons. When this altered neuronal discharge rate, called delay activity, shows stimulus specificity, it is a good candidate for a neuronal mechanism of working memory. If the delay activity is indeed the carrier of memory, then experimental manipulation during the delay period that disrupts delay activity should also disrupt behavioral performance. We tested this hypothesis in two macaque monkeys with a delayed matching-to-sample task (delay time: 8 or 10 s) in which only two visual images were used. In each trial, one of the images was randomly chosen as the sample. In control trials (without disruptive stimulation), the monkeys performed at the level of 74.3% correct recognition. Three electrical stimulation levels (mild: a 0.25-s train of electrical pulses; medium: 1-s train; strong: 4 s), delivered to the hippocampal formation or to the orbito-frontal and inferotemporal cortices during delay period, decreased the performance to 71.4, 66.8, and 58.0% respectively (all are significantly less than control performance, P < 0.05 for mild stimulation and P < 0.0001 for other stimulation levels). Three hundred and thirty-four cells were recorded from inferotemporal (211 cells) and prefrontal (123 cells) cortices. Significant ( P < 0.05) stimulus-specific delay activity was found in about one-third of recorded cells. For these cells in control trials, the mean difference in delay-period spike rates between preferred and nonpreferred images was 26%. The electrical stimulation reduced this difference to 20% (not a statistically significant reduction) in trials with mild stimulation, to 14% ( P < 0.05) with medium stimulation, and just to 4% ( P < 0.0005) with strong stimulation. These results, that increasing electrical stimulation reduced neuronal selectivity and at the same time reduced behavioral performance, directly support the hypothesis that delay activity is the carrier of memory through the delay period.

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15

Loeffler, Carl Eugene, and Roy Ascott. "Chronology and Working Survey of Select Telecommunications Activity." Leonardo 24, no. 2 (1991): 236. http://dx.doi.org/10.2307/1575311.

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16

ABE, Keiko, Yuji SUYAMA, Yuji KAWAKAMI, U. YANAGI, Syunji OKUDA, and Tetsuro OTSUKA. "An activity news flash of microbe working group." Indoor Environment 10, no. 2 (2007): 163–66. http://dx.doi.org/10.7879/siej2007.10.163.

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17

ABE, Keiko, Yuji SUYAMA, Yuji KAWAKAMI, U. YANAG, Syunji OKUDA, and Tetsuro OTSUKA. "An activity news flash of microbe working group." Indoor Environment 10, no. 1 (2007): 69–73. http://dx.doi.org/10.7879/siej2007.10.69.

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18

Naito, Makio. "Activity Report of Working Group on Particle Bonding." Journal of the Society of Powder Technology, Japan 45, no. 7 (2008): 524. http://dx.doi.org/10.4164/sptj.45.524.

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19

Watanabe, Y. "Working memory-related activity of primate thalamic neurons." Neuroscience Research 38 (2000): S102. http://dx.doi.org/10.1016/s0168-0102(00)81461-3.

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20

Haenschel, C., P. Uhlhaas, and W. Singer. "Synchronous Oscillatory Activity and Working Memory in Schizophrenia." Pharmacopsychiatry 40, S 1 (2007): S54—S61. http://dx.doi.org/10.1055/s-2007-990302.

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21

Leavitt, Matthew L., Diego Mendoza-Halliday, and Julio C. Martinez-Trujillo. "Sustained Activity Encoding Working Memories: Not Fully Distributed." Trends in Neurosciences 40, no. 6 (2017): 328–46. http://dx.doi.org/10.1016/j.tins.2017.04.004.

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22

Chen, PY, M. Liou, SH A. Chen, and WY I. Tseng. "Reproducible Activity in Verbal Working Memory Between Gender." NeuroImage 47 (July 2009): S78. http://dx.doi.org/10.1016/s1053-8119(09)70531-2.

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23

Mayo, Kelly. "Physical Activity Practices among American Black Working Women." Qualitative Health Research 2, no. 3 (1992): 318–33. http://dx.doi.org/10.1177/104973239200200305.

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24

Zhao, Xin, Renlai Zhou, and Li Fu. "Working Memory Updating Function Training Influenced Brain Activity." PLoS ONE 8, no. 8 (2013): e71063. http://dx.doi.org/10.1371/journal.pone.0071063.

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25

Moore, Anna Bacon, Zhihao Li, Callie E. Tyner, Xiaoping Hu, and Bruce Crosson. "Bilateral basal ganglia activity in verbal working memory." Brain and Language 125, no. 3 (2013): 316–23. http://dx.doi.org/10.1016/j.bandl.2012.05.003.

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26

Jaušovec, Norbert, and Ksenija Jaušovec. "Working memory training: Improving intelligence – Changing brain activity." Brain and Cognition 79, no. 2 (2012): 96–106. http://dx.doi.org/10.1016/j.bandc.2012.02.007.

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27

Rabbitt, Laura R., Daniel M. Roberts, Craig G. McDonald, and Matthew S. Peterson. "Neural activity reveals perceptual grouping in working memory." International Journal of Psychophysiology 113 (March 2017): 40–45. http://dx.doi.org/10.1016/j.ijpsycho.2017.01.005.

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28

Schall, Mark C., Nathan B. Fethke, and Howard Chen. "Working postures and physical activity among registered nurses." Applied Ergonomics 54 (May 2016): 243–50. http://dx.doi.org/10.1016/j.apergo.2016.01.008.

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29

Lin, Xiao, Ying Han, Peng Li, Le Shi, and Lin Lu. "Economic “Activity-Silent” Synaptic Mechanisms of Working Memory." Neuroscience Bulletin 33, no. 6 (2017): 760–62. http://dx.doi.org/10.1007/s12264-017-0158-6.

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30

Vishnubala, D., and A. Pringle. "Working with healthcare professionals to promote physical activity." Perspectives in Public Health 141, no. 2 (2021): 111–13. http://dx.doi.org/10.1177/1757913920978253.

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The UK Chief Medical Officer guidelines provide convincing evidence of the role of physical activity (PA) in the prevention and management of a number of long-term conditions. Yet physical inactivity remains an important public health priority. Healthcare professionals (HCP) have been identified as being very important for the promotion of PA to their patients. Yet a number of barriers are faced by HCP in this respect including awareness, knowledge, self-efficacy, perceived competence, and time. This paper aims to share current projects and practices and reflect on the challenges of changing the behaviour of HCP to provide physical activity advice.

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31

Beukers, Andre O., Timothy J. Buschman, Jonathan D. Cohen, and Kenneth A. Norman. "Is Activity Silent Working Memory Simply Episodic Memory?" Trends in Cognitive Sciences 25, no. 4 (2021): 284–93. http://dx.doi.org/10.1016/j.tics.2021.01.003.

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32

Bai, Wen Wen, and Xin Tian. "Neural Ensemble Coding during Working Memory Task in Rat Prefrontal Cortex." Key Engineering Materials 467-469 (February 2011): 1291–96. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1291.

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Working memory is one of important cognitive functions and recent studies demonstrate that prefrontal cortex plays an important role in working memory. But the issue that how neural activity encodes during working memory task is still a question that lies at the heart of cognitive neuroscience. The aim of this study is to investigate neural ensemble coding mechanism via average firing rate during working memory task. Neural population activity was measured simultaneously from multiple electrodes placed in prefrontal cortex while rats were performing a working memory task in Y-maze. Then the original data was filtered by a high-pass filtering, spike detection and spike sorting, spatio-temporal trains of neural population were ultimately obtained. Then, the average firing rates were computed in a selected window (500ms) with a moving step (125ms). The results showed that the average firing rate were higher during workinig memory task, along with obvious ensemble activity. Conclusion: The results indicate that the working memory information is encoded with neural ensemble activity.

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33

Mozumdar, Arupendra, Gary Liguori, Charles Fountaine, Sheila Braun, and Ericka Muenchow. "Working Status, Academic Activity, Leisure Time Activity, and BMI Among College Students." Medicine & Science in Sports & Exercise 40, Supplement (2008): S439. http://dx.doi.org/10.1249/01.mss.0000322866.78023.26.

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34

Tkach, S. I., P. I. Poteiko, A. V. Rohozhyn, O. V. Shyrapova, and L. M. Bielykh. "The criteria of diagnostic pulmonary tuberculosis activity in patients working in hazardous working conditions." Medicni perspektivi (Medical perspectives) 23, no. 3(part1) (2018): 216–20. http://dx.doi.org/10.26641/2307-0404.2018.3(part1).142387.

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35

Kivlighan, Dennis M., and Patrick J. Schmitz. "Counselor technical activity in cases with improving working alliances and continuing-poor working alliances." Journal of Counseling Psychology 39, no. 1 (1992): 32–38. http://dx.doi.org/10.1037/0022-0167.39.1.32.

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36

Mora‐Gonzalez, Jose, Irene Esteban‐Cornejo, Cristina Cadenas‐Sanchez, et al. "Fitness, physical activity, working memory, and neuroelectric activity in children with overweight/obesity." Scandinavian Journal of Medicine & Science in Sports 29, no. 9 (2019): 1352–63. http://dx.doi.org/10.1111/sms.13456.

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37

Adam, Kirsten C. S., Matthew K. Robison, and Edward K. Vogel. "Contralateral Delay Activity Tracks Fluctuations in Working Memory Performance." Journal of Cognitive Neuroscience 30, no. 9 (2018): 1229–40. http://dx.doi.org/10.1162/jocn_a_01233.

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Neural measures of working memory storage, such as the contralateral delay activity (CDA), are powerful tools in working memory research. CDA amplitude is sensitive to working memory load, reaches an asymptote at known behavioral limits, and predicts individual differences in capacity. An open question, however, is whether neural measures of load also track trial-by-trial fluctuations in performance. Here, we used a whole-report working memory task to test the relationship between CDA amplitude and working memory performance. If working memory failures are due to decision-based errors and retrieval failures, CDA amplitude would not differentiate good and poor performance trials when load is held constant. If failures arise during storage, then CDA amplitude should track both working memory load and trial-by-trial performance. As expected, CDA amplitude tracked load (Experiment 1), reaching an asymptote at three items. In Experiment 2, we tracked fluctuations in trial-by-trial performance. CDA amplitude was larger (more negative) for high-performance trials compared with low-performance trials, suggesting that fluctuations in performance were related to the successful storage of items. During working memory failures, participants oriented their attention to the correct side of the screen (lateralized P1) and maintained covert attention to the correct side during the delay period (lateralized alpha power suppression). Despite the preservation of attentional orienting, we found impairments consistent with an executive attention theory of individual differences in working memory capacity; fluctuations in executive control (indexed by pretrial frontal theta power) may be to blame for storage failures.

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38

Jaffee, Lynn, Judy Mahle Lutter, Jeanna Rex, Catherine Hawkes, and Patricia Bucaccio. "Incentives and Barriers to Physical Activity for Working Women." American Journal of Health Promotion 13, no. 4 (1999): 215–18. http://dx.doi.org/10.4278/0890-1171-13.4.215.

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39

Matsusaka, Shuji. "Activity Report of Working Group on Particle Charge Control." Journal of the Society of Powder Technology, Japan 43, no. 8 (2006): 602. http://dx.doi.org/10.4164/sptj.43.602.

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40

Matsusaka, Shuji. "Activity Report of Working Group on Particle Charge Control." Journal of the Society of Powder Technology, Japan 45, no. 6 (2008): 442. http://dx.doi.org/10.4164/sptj.45.442.

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41

Umekage, Toshihiko. "Activity Report of Working Group on Particle Dynamics Simulation." Journal of the Society of Powder Technology, Japan 45, no. 9 (2008): 659. http://dx.doi.org/10.4164/sptj.45.659.

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42

Curtis, Clayton E., and Mark D'Esposito. "Persistent activity in the prefrontal cortex during working memory." Trends in Cognitive Sciences 7, no. 9 (2003): 415–23. http://dx.doi.org/10.1016/s1364-6613(03)00197-9.

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43

Cohen, Jonathan D., Todd S. Braver, William M. Perlstein, John Jonides, Edward E. Smith, and Douglas C. Noll. "Temporal dynamics of cortical activity in verbal working memory." NeuroImage 3, no. 3 (1996): S537. http://dx.doi.org/10.1016/s1053-8119(96)80539-8.

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44

Zapała, Maria, Bożena Kowalczyk, and Bogumiła Lubińska-Żądło. "Physical activity and life style of working-age women." Medycyna Ogólna i Nauki o Zdrowiu 21, no. 4 (2015): 391–97. http://dx.doi.org/10.5604/20834543.1186912.

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45

Bor, Daniel, John Duncan, Richard J. Wiseman, and Adrian M. Owen. "Encoding Strategies Dissociate Prefrontal Activity from Working Memory Demand." Neuron 37, no. 2 (2003): 361–67. http://dx.doi.org/10.1016/s0896-6273(02)01171-6.

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46

Loughead, James, E. Paul Wileyto, Kosha Ruparel, et al. "Working Memory-Related Neural Activity Predicts Future Smoking Relapse." Neuropsychopharmacology 40, no. 6 (2014): 1311–20. http://dx.doi.org/10.1038/npp.2014.318.

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47

Shi, Zhan, Xin Gao, and Renlai Zhou. "Frontal theta activity during working memory in test anxiety." NeuroReport 26, no. 4 (2015): 228–32. http://dx.doi.org/10.1097/wnr.0000000000000334.

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48

Oi, Yuhei, Yosuke Kita, Kota Suzuki, et al. "Spatial working memory encoding type modulates prefrontal cortical activity." NeuroReport 28, no. 7 (2017): 391–96. http://dx.doi.org/10.1097/wnr.0000000000000761.

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49

Rypma, Bart, Vivek Prabhakaran, John E. Desmond, and John D. E. Gabrieli. "Age differences in prefrontal cortical activity in working memory." Psychology and Aging 16, no. 3 (2001): 371–84. http://dx.doi.org/10.1037/0882-7974.16.3.371.

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50

Linden, David E. J., Thomas M. Lancaster, Claudia Wolf, et al. "ZNF804AGenotype Modulates Neural Activity during Working Memory for Faces." Neuropsychobiology 67, no. 2 (2013): 84–92. http://dx.doi.org/10.1159/000344001.

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