5,610 research outputs found
The Utilization of Social Media for E-commece
Full text linkIn recent years, the establishment and improvement of e-commerce and Internet platforms have been the development goals of various enterprises. At the same time, social media has gradually become an indispensable element in people's lives. So, this thesis mainly studies how companies should correctly use the huge attention and influence brought by social media to promote the continuous development of their e-commerce platforms. The first chapter explains in detail the core viewpoints and main research issues of this thesis. At the same time, the author also displays and analyzes the structure of the whole thesis, so that the logic of the whole thesis can be more clearly understood.
The theoretical part is mainly divided into two parts: e-commerce and social media. In addition to their respective basic concepts and extended knowledge, the author also analyzed the relationship between the two and the advantages and disadvantages of e-commerce platforms using social media for promotion. In the empirical research part, the author selected the Industrial and Commercial Bank of China Qingshan Sub-branch as the inspection object, and carried out investigation and analysis around its e-commerce platform "RONG e GOU". This paper adopts both quantitative and qualitative analysis, the purpose is to be able to formulate the results more reliable and effective. The author specifically uses two methods of platform user questionnaire and company management interview to conduct research and study.
At the end, the author analyzes in detail how the company uses social media to promote the e-commerce platform in general, and proposes a more targeted solution for the company. According to the results of the interviews with the company’s management and the questionnaires on the platform ’s customers, it is necessary for the company to make more innovations and trials in the use of social media, that is, to use a variety of social media for its own Platform for promotion. At the same time, the platform's own management system and regulations also need to be optimized, such as appropriately lowering the barriers to entry for shops and strengthening after-sales service capabilities
Related Data for: Effects of consecutive versus non-consecutive days of resistance training on strength, body composition, and red blood cells
No full textHealth authorities worldwide recommend 2–3 days per week of resistance training (RT) performed ∼48–72 h apart. However, the influence of recovery period between RT
sessions on muscle strength, body composition, and red blood cells (RBCs) are unclear.
Aim: Examine the effects of three consecutive (C) or non-consecutive (NC) days of RT per week for 12 weeks on strength, body composition, and RBCs.
Methods: Thirty young, healthy and recreationally active males were randomly assigned to 3 C (∼24 h between sessions) or NC (∼48–72 h between sessions) days of RT per week for 12 weeks. Both groups performed three sets of 10 repetitions at 10-
repetition maximum (RM) of leg press, latissimus pulldown, leg curl, shoulder press, and leg extension for each session. Ten RM and body composition were assessed pre- and post-RT. RBC parameters were measured on the first session before RT, and 0 and 24 h post-3rd session in untrained (week 1) and trained (week 12) states.
Results: No training × group interaction was found for all strength and body
composition parameters (p = 0.075–0.974). Training increased strength for all exercises, bone mineral density, and total body mass via increased lean and bone mass (p
Conclusion: Both C and NC RT induced similar improvements in strength and body
composition, and changes in RBC parameters.</p
Related Data for: Effects of four weeks of alternate-day fasting with or without protein supplementation: A randomized controlled trial
No full textBackground/Objectives: Long-term alternate-day fasting (ADF) effectively combats obesity, but its short-term effects are less clear. Like other diets, ADF-induced weight loss often includes muscle loss, and whether protein supplementation mitigates this is uncertain. This study examined the effects of short-term ADF on body composition and health and whether protein supplementation preserves muscle mass during weight loss in young Asian men with an unhealthy BMI (≥23.0 kg/m2).
Methods: Twenty participants were recruited for a single-arm trial to address the first objective, and twenty-six participants were randomly assigned to a control (C) or protein group (P) in a follow-up trial to address the second objective. The participants alternated between feeding (ad libitum) and fasting (400–600 kcal consumed between 12 and 2 PM) days for four weeks. The participants in P consumed 25 g of whey protein as part of the fasting-day meal. Pre–post body composition was assessed using bioelectrical impedance analysis. Anthropometry, fasting blood glucose (FG), and resting blood pressure (BP) were measured weekly.
Results: Since interaction effects were absent, data from all three groups were combined for analyses. Four weeks of ADF significantly (p < 0.001) reduced body (2.4 kg), fat (1.6 kg), and fat-free (0.8 kg) mass.BP and FG levels remained unchanged (p = 0.753–0.919). No significant differences were detected between the C and P groups for any of the measures.
Conclusions: Short-term ADF effectively reduced body and fat mass, but it also reduced muscle mass, and this reduction was not attenuated by low-dose protein supplementation (25 g) during fasting days. Future studies should explore the effectiveness of protein or leucine supplementation, throughout the feeding and fasting days, in terms of preserving muscle during weight loss
Smooth Calibration and Decision Making
Full text linkCalibration requires predictor outputs to be consistent with their Bayesian posteriors. For machine learning predictors that do not distinguish between small perturbations, calibration errors are continuous in predictions, e.g. smooth calibration error [Foster and Hart, 2018], distance to calibration [Błasiok et al., 2023]. On the contrary, decision-makers who use predictions make optimal decisions discontinuously in probabilistic space, experiencing loss from miscalibration discontinuously. Calibration errors for decision-making are thus discontinuous, e.g., Expected Calibration Error [Foster and Vohra, 1997], and Calibration Decision Loss [Hu and Wu, 2024]. Thus, predictors with a low calibration error for machine learning may suffer a high calibration error for decision-making, i.e. they may not be trustworthy for decision-makers optimizing assuming their predictions are correct. It is natural to ask if post-processing a predictor with a low calibration error for machine learning is without loss to achieve a low calibration error for decision-making. In our paper, we show post-processing an online predictor with ε distance to calibration achieves O(√{ε}) ECE and CDL, which is asymptotically optimal. The post-processing algorithm adds noise to make predictions differentially private. The optimal bound from low distance to calibration predictors from post-processing is non-optimal compared with existing online calibration algorithms that directly optimize for ECE and CDL
Efficient matrix computations via subsampling sketches
Full text linkSubmission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01The student, Yifan Chen, accepted the attached license on 2023-07-06 at 20:10.The student, Yifan Chen, submitted this Dissertation for approval on 2023-07-06 at 20:11.This Dissertation was approved for publication on 2023-07-12 at 07:03.DSpace SAF Submission Ingestion Package generated from Vireo submission #19473 on 2023-12-04 at 17:30:32This dissertation investigates the improvement and the application of subsampling sketching, a dimension reduction technique, in various statistical contexts. Firstly, we propose a framework, accumulative sketching, which encompasses Gaussian sketching and subsampling sketching as special cases, for approximate matrix multiplication (AMM). Theoretical analysis and empirical experiments demonstrate that our approach achieves a balance between computational efficiency and statistical accuracy, enhancing tasks such as generalized linear regression, randomized SVD, and kernel ridge regression. Furthermore, we develop efficient algorithms for accurately approximating statistical leverage scores in kernel ridge regression, resulting in significant improvements in efficiency of subsampling sketching compared to existing methods. We extend this technique to empirical risk minimization in reproducing kernel Hilbert spaces (RKHS), ensuring the adaptation maintains the minimax-optimal error rate of kernel estimators. Overall, our research offers potent tools for efficiently computing large-scale matrices via subsampling sketches in various settings while still preserving the statistical accuracy
Heterogeneous pressure on croplands from land-based strategies to meet the 1.5 °C target
No full textAchieving the 1.5 degrees C target outlined in the Paris Agreement necessitates coordinated global efforts, particularly in the form of ambitious climate pledges. While current discussions primarily focus on energy and emissions pathways, the fine-scale, location-specific consequences for agriculture, land systems and sustainability remain uncertain. Here we evaluate global land-system responses at 5-km2 resolution in pursuit of the 1.5 degrees C target through recent country-specific climate pledges. Contrary to previous studies predicting cropland expansion under a 1.5 degrees C scenario, we reveal a 12.8% reduction in cropland area when accounting for cross-sectoral impacts of climate pledges and land-use intensity. The reduction is most pronounced in South America (23.7%), with the global south comprising 81% of the countries worldwide expected to experience cropland loss. Food security in the Global South faces additional pressure due to a projected 12.6% reduction in export potential from the global north.
Effectiveness of 4-week alternate-day fasting on body mass and body composition in Asia males with BMI ≥ 23 kg/m2
No full textBackground: Alternate – day fasting (ADF) has shown to induce weight loss and improve body composition. While most researches looked at longer duration ADF (>8 weeks), comparatively fewer have looked into short-term ADF. Furthermore, shortest duration to observe a significant weight loss is not well-established.
Purpose: To investigate the effectiveness of 4-weeks ADF on body mass and body composition in Asian males with body mass index (BMI) of ≥ 23kg/m2, and to determine how fast can significant body mass loss be observed.
Methods: 24 males (age: 24.8 ± 1.6 years) with BMI ≥ 23kg/m2 were required to alternate between fasting day (400-600kcal) and feeding day (ad libitum) for four weeks. Five laboratory sessions (baseline + four weekly measurement during ADF) were mandated. Body mass, height, physical activity level and adherence rate were measured in every session while body composition was measured during the first and last session. Thereafter, a paired t-test and one-way repeated measures ANOVA were performed to note for significant differences.
Results: Significant reduction was observed in pre-post analysis of body mass (2.63 ± 0.35kg), BMI (0.86 ± 0.11kg/m2), fat mass (2.02 ± 0.26kg), fat free mass (0.68 ± 0.25kg) and percentage body fat (1.72 ± 0.3%) (p < .05). Weekly body mass was found to be significantly reduced just after 1 week (p < .001) from baseline.
Conclusion: 4-weeks ADF is sufficient to reduce body mass and improve body composition amongst Asian males with BMI ≥ 23kg/m2. Also, 1 week of ADF can elicit significant body mass loss.Bachelor of Science (Sport Science and Management
Supplemental material for An integrative sparse boosting analysis of cancer genomic commonality and difference
No full textSupplemental Material for An integrative sparse boosting analysis of cancer genomic commonality and difference by Yifan Sun, Zhengyang Sun, Yu Jiang, Yang Li and Shuangge Ma in Statistical Methods in Medical Research</p
sj-docx-2-imj-10.1177_10815589231184215 – Supplemental material for Efficacy and safety of medications for osteoporosis in kidney transplant recipients or patients with chronic kidney disease: a meta-analysis
No full textSupplemental material, sj-docx-2-imj-10.1177_10815589231184215 for Efficacy and safety of medications for osteoporosis in kidney transplant recipients or patients with chronic kidney disease: a meta-analysis by Yunji Leng, Xian Yu, Yi Yang and Yifan Xia in Journal of Investigative Medicine</p
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