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Lenovo Inc yoga touchscreen computer
Yoga Touchscreen Computer, supplied by Lenovo Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/touchscreen+computers/yoga+series+convertible+computer/10__1007_slash_s11055___024___01728___1-70-7-7
Average 90 stars, based on 1 article reviews
yoga touchscreen computer - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Assessing the use of immersive virtual reality, mouse and touchscreen in pointing and dragging-and-dropping tasks among young, middle-aged and older adults.
Article Snippet: This study assessed the use of an immersive virtual reality (VR), a mouse and a touchscreen for onedirectional pointing, multi-directional pointing, and dragging-and-dropping tasks involving targets of smaller and larger widths by young (n 1⁄4 18; 18e30 years), middle-aged (n 1⁄4 18; 40e55 years) and older adults (n 1⁄4 18; 65e75 years).. A three-way, mixed-factorial design was used for data collection.. The dependent variables were the movement time required and the error rate.

Article Title: Getting stuck in a rut as an emergent feature of a dynamic decision-making system
Article Snippet: Participants sat at a desk with a touchscreen computer tablet (Lenovo ThinkPad Helix 2, 1920 × 1080 pixels, 11.6′′ screen, 60 Hz refresh rate) placed directly in front of them and interacted with the screen using a stylus (sampled from the screen digitizer at a rate of 100 Hz) in their chosen hand.

Article Title: Reinforcement Contingency Learning in Children with ADHD: Back to the Basics of Behavior Therapy
Article Snippet: The ball game includes an acquisition phase and an extinction phase, presented on a computer touchscreen (Lenovo, Windows 8, 15-in.).

Control:

Article Title: Retention of Verbal and Nonverbal Sequence Information in Working Memory. Analysis of Functional and Effective Connections
Article Snippet: The studies reported here addressed differences in the structures of cerebral systems mediating the encoding and retention in working memory (WM) of two types of information: sequences of verbal (letter names) or non-verbal (open broken line segments) presented either statically or dynamically.. Cerebral systems were characterized in terms of the strength of functional and effective connections between eight approximately bilaterally symmetrical cortical loci, including the dorsolateral prefrontal cortex (dlPFC) and areas of the temporal (STG), parietal (IPS), and occipital (v2) cortex.. Studies in a group of subjects using high-density EEG recordings, employing an eight-channel vector autoregressive model in the space of cortical EEG sources to show that: 1) the cerebral organization of WM during retention of a letter sequence differs from that during retention of a broken line segment sequence; 2) the cerebral organization of WM depends on the mode of presentation of sequences: the strength of the functional connection is different for dynamic and static presentation of sequences; 3) differences in the structures of functional and effective connections are not clearly frequency-selective and are seen in all the encephalographic frequency bands studied, from θ (4–8 Hz) to high-frequency γ (50–60 Hz); 4) the most signifi cant differences between the task of retaining a sequence of letters and the task of retaining a sequence of broken line segments on static visual presentation of sequences were seen in the αand β-frequency bands in terms of the strength of the functional connection between the left-hemisphere dlPFC and the right-hemisphere STG measured in terms of coherence, as well as in the θ range between the right-hemisphere dlPFC and the left visual cortex v2; 5) the most signifi cant difference between static and dynamic presentation modes in the task of retaining broken line segments was observed in the γ frequency band (50–60 Hz) between the dlPFC in the right hemisphere and the left visual cortex v2.



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Study Characteristics and the Efficacy of the Intervention

Journal: BMC Medicine

Article Title: Evaluating digital nudge interventions for the promotion of cancer screening behavior: a systematic review and meta-analysis

doi: 10.1186/s12916-025-04028-8

Figure Lengend Snippet: Study Characteristics and the Efficacy of the Intervention

Article Snippet: Greiner et al., 2014, the USA [ ] , To test an implementation intentions (I-I) intervention for improving CRC screening rates , Precaution Adoption Process Model (PAPM) , Touchscreen computers , Individual , NR , Health center staff, research assistants , IG had higher odds of completing colorectal cancer (CRC) screening at 26 weeks (IG & CG, AOR = 1.83) ( p < 0.05) , • Self-efficacy (IG & CG, AOR = 1.56) ( p < 0.05).

Techniques:

Colorectal cancer screening: study characteristics and results of colorectal cancer screening including colonoscopy and fecal occult blood test/fecal immunochemical test ( n = 10)

Journal: European Journal of Cancer Prevention

Article Title: Interactive or tailored digital interventions to increase uptake in cervical, breast, and colorectal cancer screening to reduce health inequity: a systematic review

doi: 10.1097/CEJ.0000000000000796

Figure Lengend Snippet: Colorectal cancer screening: study characteristics and results of colorectal cancer screening including colonoscopy and fecal occult blood test/fecal immunochemical test ( n = 10)

Article Snippet: Greiner et al . (2014 ), USA , 42% non-Hispanic African American, 28% non-Hispanic white, 27% Hispanic Intervention group: n = 234 Control group: n = 236 Age 45–70 , Info and education on CRC screening. Participants responded to ‘implementations intentions’ planning questions specific to CRC screening. Interactive, multimedia touchscreen computer that used either English or Spanish text with narration through headphones, as well as pictures and video targeted to the race/ ethnicity of the participant. , Self-reported CRC screening Follow-up: 26 weeks Intervention group: 54% vs control group: 42% OR = 1.83, CI = 1.23–2.73, P ≤ 0.01.

Techniques: Control, Clarification Assay, Biomarker Discovery