Modern Management Science & Engineering
type: channel
description: Modern Management Science & Engineering (MMSE) is an international, Refereed, double-blind peer-reviewed, open-access journal published by Scholink. The mission of MMSE is to provide a high-level platform for experts and scholars all over the world to share their latest ideas of management and foster the prosperity of the discipline. We would welcome scholars and researchers engaging in the related field to submit your manuscripts to MMSE. Both of online submission and E-mail submission (mmse@scholink.org) are acceptable. We would welcome scholars and researchers engaging in the related field but is not limited to the following fields: Public Management and Engineering Management Science Theories and Methods Business Management Engineering Management Loop Management Agricultural Engineering Management Industrial Engineering and Operations Management: Policy and Risk Management Operations and Supply Chain Management Sustainable Management and Green Engineering Strategic Management and Organizational Behavior Integration of Information Technology and Management Others Both of online submission and E-mail submission (mmse@scholink.org) are acceptable. ------------------------------------------------------------------------ Open access: Modern Management Science & Engineering is available online to the reader "without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself." Peer review: Modern Management Science & Engineering takes peer review policy. Peer review is the evaluation of work by one or more people of similar competence to the producers of the work (peers). <img src="[binary]" alt="" />
publisher: SCHOLINK INC.
language: en-US
publication name: Modern Management Science & Engineering
issn: 2052-2576
copyright: Authors who publish with this journal must agree to the following terms: Authors should promise that their works are entirely original, and all the references in their works should be appropriately cited or quoted. The works have not been published previously. The behavior of submitting the same work to other journals is unacceptable. The journal editor has the right to edit the format of works.
items: A Study on the Integrated Application and Development Strategies of Low-Altitude Drones in the Field of Smart Transport and Logistics
items: Research on the Information Literacy Needs of Chinese Economics and Management College Students under the Background of New Business
items: Influence of Involute and Cycloid-Pin Profile Modification on the Dynamic Transmission Characteristics of the RV Reducer
items: Implementation Effects for Construction Ventilation in Extra-Long Tunnels under High-Cold and High-Altitude Conditions —A Case Study of Tianshan Shengli Tunnel
items: Generative AI Data Augmentation and Missing Value Completion Method for Multi-Source Heterogeneous Big Data

A Study on the Integrated Application and Development Strategies of Low-Altitude Drones in the Field of Smart Transport and Logistics
type: item
description: Against the backdrop of the implementation of low-altitude airspace reforms and the comprehensive upgrading of smart logistics systems, low-altitude UAVs, with their advantages of manoeuvrability, minimal spatial constraints and rapid response times, are gradually being integrated into multiple sectors including urban delivery, traffic inspection, emergency supply support and urban-rural logistics, becoming a key enabler in the construction of an integrated air-ground smart transport and logistics system.Based on the economic environment of the low-altitude sector, this paper systematically analyses the current status of low-altitude UAVs’ practical applications in the field of smart transport and logistics. It objectively identifies the practical shortcomings in the industry’s development process and, by combining policy directions with industry realities, proposes optimisation strategies that are both feasible and implementable. The aim is to provide theoretical references and practical insights for the standardised development of UAV logistics and the enhancement of quality and efficiency in the smart transport industry.
creator: Haitao Yuan
rights: Copyright (c) 2026 Haitao Yuan http://creativecommons.org/licenses/by/4.0
license: http://creativecommons.org/licenses/by/4.0
date: 2026-06-01
publication date: 2026-06-01
volume: 8
number: 3
starting page: 1
doi: 10.22158/mmse.v8n3p1

Research on the Information Literacy Needs of Chinese Economics and Management College Students under the Background of New Business
type: item
description: Under the context of deep integration of the digital economy and “New Business” construction, the cultivation model of economics and management talents in Chinese universities faces an urgent requirement for digital transformation. This study takes economics and management college students in Chinese universities as the research object to measure their current needs across four dimensions: information consciousness, information knowledge, information competence, and information ethics. A structural equation model (SEM) was constructed, and empirical analysis and model modification were executed using Amos 22.0. The empirical results demonstrate that: information consciousness needs have a significant positive impact on information knowledge needs; information knowledge needs positively promote information competence needs; and information competence needs positively promote information ethics needs. However, information consciousness needs exhibit a significant direct negative impact on information ethics needs, revealing that in the explosive digital environment, shallow information awareness may temporarily dilute ethics, which must instead be progressively cultivated through knowledge and competence. Based on these findings, targeted cultivation pathways are proposed at both the individual and institutional collaborative levels to provide scientific references for cultivating high-quality compound business talents.
creator: Dachao Pang
creator: Yujie Li
rights: Copyright (c) 2026 Dachao Pang, Yujie Li http://creativecommons.org/licenses/by/4.0
license: http://creativecommons.org/licenses/by/4.0
date: 2026-06-18
publication date: 2026-06-18
volume: 8
number: 3
starting page: 9
doi: 10.22158/mmse.v8n3p9

Influence of Involute and Cycloid-Pin Profile Modification on the Dynamic Transmission Characteristics of the RV Reducer
type: item
description: To clarify the combined influence of involute and cycloidal profile modifications on RV reducer dynamics, a coupled multibody model including the involute gear pair, cycloid-pin pair, and bearing-support system was developed. Composite meshing error, time-varying meshing stiffness, and external load were considered, while meshing stiffness and contact parameters from Romax were introduced to improve engineering fidelity; the dynamic response was solved using the Gill integration method. Comparative analyses were conducted for involute profile modification, cycloidal moved-distance equidistant modification, and cycloidal pressure-angle modification in terms of meshing stiffness, load distribution, contact stress, transmission error, and vibroacoustic behavior. Involute modification reduced the maximum meshing stiffness from to N/mm (17.3%) and suppressed stiffness fluctuation during the single-to-double tooth transition. For the cycloid-pin stage, pressure-angle modification lowered peak contact stress from about 1600 to 1100 MPa (31.3%). Although transmission error changed only slightly, the involute plus pressure-angle scheme achieved the best overall vibroacoustic performance, reducing the dominant low-frequency acoustic peak by about 11 dB(A) and equivalent acoustic radiation power by about 60%, providing guidance for RV reducer profile design and dynamic optimization.
creator: Wenwen Du
creator: Yinghui Zhang
rights: Copyright (c) 2026 Wenwen Du, Yinghui Zhang http://creativecommons.org/licenses/by/4.0
license: http://creativecommons.org/licenses/by/4.0
date: 2026-06-23
publication date: 2026-06-23
volume: 8
number: 3
starting page: 21
doi: 10.22158/mmse.v8n3p21

Implementation Effects for Construction Ventilation in Extra-Long Tunnels under High-Cold and High-Altitude Conditions —A Case Study of Tianshan Shengli Tunnel
type: item
description: To address the technical challenges of low air pressure, low temperature, long distance, and multiple working faces in the construction ventilation of extra-long tunnels in high-cold and high-altitude areas, this study takes the Tianshan Shengli Tunnel project as the engineering case and systematically investigates the comparison, optimization, and implementation effect of ventilation schemes by combining theoretical calculation, comparative analysis, and on-site systematic monitoring. Based on a construction organization arranged in two major stages and sixteen sub-stages, two ventilation modes are compared and analyzed: full-face simultaneous construction (Scheme I) and process-alternating construction (Scheme II). A required-air-volume calculation system is proposed with blast-fume exhaust as the controlling factor, yielding design values of 1980m³/min for the main tunnel by drilling and blasting method, 1500m³/min for the central pilot tunnel by TBM method, and 855m³/min for the shaft by drilling and blasting method. Combined with on-site conditions, Scheme II is further optimized to establish a combined ventilation mode of “forced ventilation in the main tunnel + drift ventilation in the central pilot tunnel + centralized smoke exhaust through the shaft,” supplemented by refined on-site management. Compared with Scheme I, the total power is reduced by approximately 60% on average, with a maximum reduction of 74.9% during peak periods and the cumulative cost savings over the entire construction cycle amount to approximately 128.10 million RMB On-site monitoring results show that the wind speed at all sections meets the requirement of ≥0.3 m/s and the CO concentration is controlled below the allowable limit. In addition, a significant blocking effect of the secondary lining trolley on pollutant transport is discovered, with a CO concentration difference reaching 3.96 times. The research findings can provide technical reference for the construction ventilation of …
creator: Cheng Xiaoqing
creator: Huang Dengxia
rights: Copyright (c) 2026 Cheng Xiaoqing, Huang Dengxia http://creativecommons.org/licenses/by/4.0
license: http://creativecommons.org/licenses/by/4.0
date: 2026-06-26
publication date: 2026-06-26
volume: 8
number: 3
starting page: 46
doi: 10.22158/mmse.v8n3p46

Generative AI Data Augmentation and Missing Value Completion Method for Multi-Source Heterogeneous Big Data
type: item
description: The proliferation of multi-source heterogeneous big data across healthcare, industrial Internet of Things (IIoT), and smart city domains has introduced two pervasive bottlenecks in data analytics: widespread missing values and insufficient high-quality training samples. Traditional missing value imputation methods fail to capture complex nonlinear correlations across heterogeneous data modalities, while existing data augmentation techniques are mostly designed for single-modal data and neglect intrinsic cross-source associations. To address these gaps, this paper proposes Hetero-GenAI, a unified generative artificial intelligence framework for joint missing value completion and data augmentation in multi-source heterogeneous big data. First, a heterogeneous data embedding module with cross-modal attention maps numerical, categorical, temporal, and textual features into a shared latent space, explicitly modeling inter-source and intra-source feature dependencies. Second, a missing-aware conditional diffusion model performs adaptive imputation by integrating missing masks as soft constraints, eliminating the need for pre-assumptions about missing mechanisms (MCAR, MAR, MNAR). Third, a distribution-aligned augmentation strategy generates diverse, realistic samples via latent space interpolation and semantic perturbation while preserving cross-modal semantic coherence and distribution consistency. Extensive experiments on two real-world datasets—the MIMIC-IV clinical dataset and NASA C-MAPSS industrial sensor dataset—demonstrate that the proposed method reduces numerical imputation RMSE by 12.3%–21.7% and improves categorical imputation F1-score by 8.5%–15.2% under 30% missing rates compared to state-of-the-art baselines. Furthermore, the augmentation pipeline improves downstream classification and prediction task performance by 9.2%–14.6%, verifying its dual effectiveness in data completion and quality enhancement.
creator: Linfeng Yang
rights: Copyright (c) 2026 Linfeng Yang http://creativecommons.org/licenses/by/4.0
license: http://creativecommons.org/licenses/by/4.0
date: 2026-07-03
publication date: 2026-07-03
volume: 8
number: 3
starting page: 66
doi: 10.22158/mmse.v8n3p66