Journal Of Engineering Research Articles

WiSeCart: Sensor-based Smart-Cart with Self-Payment Mode to Improve Shopping Experience and Inventory Management

Superstores are often rippled with people from a variety of the pyramid structure from lower, middle and higher-levels of the pyramid. These malls often transform onto a busy-bee hub with people wishing to explore the merits of discounted product prices and special offers. This, however causes a surge in traffic coupled with the enticing promotions that then lead to endless queues at the various cash-sales point and check-out counters. This case often poses inherent challenges both for business owners and customers due to time constraint, product substitution and quantity tracking in such malls. The study proposes WiSeCart – a wireless sensor-based shopping cart with near feature compatibility feat. Result shows that the integration of a self-payment system via the NFC tech provisions the system with: (a) reduced queue time so that customers can finish their shopping quicker with fast-paced checkout process, (b) yields increase inventory management efficiency with reduced errors from customer data entry using NFC communication stickers, and (c) improved data management capability that allow for further study of customer behaviour for improved customer experience and service delivery, which will in turn equip business owner with better managerial decision support. Keywords: wireless sensor-networks, smart-carts, shopping trolley, customer experience, superstores Journal Reference Format: Brizimor, S.E., Okpor, M.D., Yoro, R.E., Emordi, F.U., Ifioko, A.M., Odiakaose, C.C., Ojugo, A.A., Ejeh, P.O., Abere, R.A., Ako, R.E., Geteloma, V.O., (2024): WiSeCart: Sensor-based Smart-Cart with Self-Payment Mode to Improve Shopping Experience and Inventory Management. Social Informatics, Business, Politics, Law, Environmental Sciences & Technology Journal. Vol. 10, No. 1. Pp 53-74. www.isteams/socialinformaticsjournal. dx.doi.org/10.22624/AIMS/SIJ/V10N1P7

AI and Cybersecurity in Investigative Journalism: A Literature Review

This literature review examines the intersection of artificial intelligence (AI) and cybersecurity in the context of investigative journalism. The use of AI technologies in investigative journalism has revolutionized the way journalists analyze data and uncover stories, while also posing new challenges in cybersecurity and the detection of deepfakes. The academic literature highlights the importance of training journalists in cybersecurity best practices, investing in AI technologies, and detecting and debunking deepfakes to safeguard the integrity of journalistic work. By integrating AI and cybersecurity measures into newsrooms, journalists can better protect themselves against cyber threats and combat misinformation, ensuring the continued relevance and credibility of journalism in the digital age. Keywords: Artificial Intelligence, Cybersecurity, Investigative Journalism, Deepfakes, Data Analysis, Misinformation, News Organizations, Cyber Threats, Journalism Integrity. Journal Reference Format: Ademola, O.E. & Somorin, K. (2024): AI and Cybersecurity in Investigative Journalism: A Literature Review. Social Informatics, Business, Politics, L:aw, Environmental Sciences & Technology Journal. Vol. 10, No. 1. Pp 9-18 www.isteams/socialinformaticsjournal. dx.doi.org/10.22624/AIMS/SIJ/V10N1P2

Detailing the Stakeholder Theory of Management in the AI World: A Position Paper on Ethical Decision-Making

Ademola, O. E. Professor, American International University West Africa College of Management and Information Technology Banjul, The Gambia E-mail: ademolaeo@p-acc.co.uk ABSTRACT As artificial intelligence (AI) technology continues to proliferate across various industries, the ethical implications of its development and deployment have come under scrutiny. In this position paper, we delve into the application of stakeholder theory in the AI world, with a focus on ethical decision-making processes. Drawing on academic literature and real-world examples, we examine how stakeholder theory can guide organizations and policymakers in navigating the complex ethical landscape of AI technology. By considering the perspectives and interests of various stakeholders, we argue that a stakeholder-centred approach is crucial for ensuring that AI is developed and utilized in a responsible and ethical manner. Keywords: Artificial Intelligence, Stakeholder Theory, Ethics, Decision-Making, Management Keywords: Theoretical Evaluation, Social Media, Entrepreneurial Opportunity, Evaluation, Business, Artificial Intelligence Journal Reference Format: Ademola, O.E. (2024): Detailing the Stakeholder Theory of Management in the AI World: A Position Paper on Ethical Decision-Making. Social Informatics, Business, Politics, L:aw, Environmental Sciences & Technology Journal. Vol. 10, No. 1. Pp 1-8 www.isteams/socialinformaticsjournal. dx.doi.org/10.22624/AIMS/SIJ/V10N1P1

Application of machine learning models for green andsimultaneous determination of asiaticoside andmadecassoside in Centella asiatica

The artificial neuron network (ANN), which is a subfield of machine learning, has been widely applied in analytical chemistry for classification/pattern recognition, prediction, and modeling. ANN combined with UV spectrometry can be used to tackle the problem of overlapping spectra of a complicated matrix of herbal medicine. In the present study, ANN has been used for simultaneous determination of asiaticoside andmadecassoside in Centella asiatica collected from various provinces in Viet Nam based on UV spectra of standard reference and spiked samples. The absorption spectra of 108 C. asiatica samples were recorded in (190-250) nm of wavelength with an interval of 1 nm (61 variables) were used for data acquisition. An ANN model using traincgb function with 40 neural hidden layers was trained. The correlation coefficients were all higher than 0.9999. The concentration of asiaticoside and madecassoside in all tested samples revealed a good recovery, as compared to the referenced values. TheANN model can be considered as effective, time-saving and environment-friendly quantitative analysis tool for herbal medicine ® 2024 Journal of Science and Technology - NTTU

Using the Delphi methodology to develop technology criteria to assess e-learning readiness in Higher education Institutions

Many higher education institutions in Viet Nam are adopting e-learning to explore new education opportunities. However, the successful implementation of e-learning depends on various aspects of the organization's readiness, particularly technology readiness. This research aims to identify and develop a scale that measures the requiredtechnology factors for evaluating the readiness of higher education institutions in Viet Nam to deploy e-learning. To achieve this, the authors presented the concept and scales of eight technology factors: hardware, software, connectivity, security, flexibility, skills and support, and data centers. These factors were identified through two roundsof Delphi interviews with 17 experts. This research provides a framework for higher education institutions to assess their readiness to implement e-learning projects based on technological criteria® 2024 Journal of Science and Technology - NTTU

Preliminary optimization of extraction process for Citrus sinensisOsbeck L. peel essential oil and quality evaluation

The present study performed optimization of the essential oil extraction from Citrus sinensis Osbeck L. peel. The conditions of grinding time of 1 min, extraction time of 150 min, and a water-to-material ratio of 1:3 (w/v) on frozen matter yielded 4.20 (%, g/100 g fresh matter) of extract in semi-pilot scaleby hydrodistillation method. C. sinensis peel EO was subjected to sensory evaluation, heavy metal contents, physical properties including density, pole rotation angles, and refractive index. D-limonene was identified in the synthesized peel extract with the highest content of 98.12 %. Thisprocess may have great potential as an alternative as it allows the recovery of C. sinensis by-products and production of high quality essential oils. ® 2024 Journal of Science and Technology - NTTU

Numerical simulation of fluidized bed: A bibliometric analysis of research progress and prospects

This study employed bibliometric analysis, reviewing 3763 papers related to numerical simulation of fluidized bed published between 1990 and 2023 from the Web of Science Core Collection database. The research findings indicate an upward trend in the development of numerical simulation studies of fluidized bed. This phenomenon is closely linked to the enhancement of computational capabilities, the widespread application of fluidized bed technology, and the continuous advancement in simulation methodologies. Particularly since 2009, this field has experienced significant growth. Journals such as “POWDER TECHNOLOGY”, “CHEMICAL ENGINEERING SCIENCE” and “CHEMICAL ENGINEERING JOURNAL” were the most prolific. Current research hotspots included multi-scale simulation methods, data-driven approaches and machine learning, improvements in multiphase flow models, coupling multi-physical field simulations, application of environment-friendly technologies, research on new materials and energy sources. The primary research fields are chemical engineering, energy & fuels, mechanics and thermodynamics. These insights serve as valuable guidance and references for researchers.

Prevalence of sexual dysfunction in Chinese patients with schizophrenia: a systematic review and meta-analysis.

There may be a higher risk of sexual dysfunction in the schizophrenia population. China has made significant contributions to the global community of patients with schizophrenia. Currently, there is no estimation of the prevalence of sexual dysfunction in Chinese patients with schizophrenia. We conducted a meta-analysis to pool the evaluated prevalence of sexual dysfunction in Chinese patients with schizophrenia. We systematically searched PubMed, Web of Science, Embase, PsycINFO, China National Knowledge Infrastructure, China Science and Technology Journal Database, Wanfang Medical Network, and Huayi Academic Literature Database from inception to September 2023. Meta-analysis was conducted with R version 4.3.1. To examine the pooled prevalence of sexual dysfunctions among Chinese patients with schizophrenia. In our meta-analysis, we included 16 studies with 5417 participants, among whom 1727 experienced sexual dysfunction. The results of the meta-analysis reveal that the prevalence of sexual dysfunction in Chinese patients with schizophrenia is 50.43% (95% CI, 37.86%-62.95%). Subgroup analysis results indicate that various factors-including the specific type of dysfunction, duration of illness, assessment tools, mean ages, study region, gender, research setting, marital status, publication years, and type of antipsychotics-all have a particular impact on the occurrence rate of sexual dysfunction in Chinese patients with schizophrenia. Female patients had a slightly higher prevalence of sexual dysfunction than male patients (65.22% vs 54.84%). The findings of this study can be used in high-quality nursing care for the schizophrenia population, particularly for the care of specific sexual dysfunction nursing. This meta-analysis is the first to evaluate the prevalence of sexual dysfunction in China among patients with schizophrenia. The limited number of studies is the most important limitation. The pooled prevalence of sexual dysfunction in Chinese patients with schizophrenia is relatively high, and the prevention and intervention of individual sexual dysfunctions in schizophrenia are advised.

Efficacy of repetitive transcranial magnetic stimulation with different application parameters for post-stroke cognitive impairment: a systematic review.

Cognitive impairment is a prevalent consequence of stroke, seriously affecting recovery and quality of life while imposing substantial burdens on both patients' families and society. Repetitive transcranial magnetic stimulation (rTMS) has emerged as an effective intervention for post-stroke cognitive impairment (PSCI). However, the a lack of standardized and explicit guidelines regarding rTMS application parameters. Therefore, this study systematically evaluated the efficacy of various parameters of rTMS in treating PSCI and explored its potential mechanism. We conducted a comprehensive search across seven scientific databases, namely China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform (Wanfang), China Science and Technology Journal Database (VIP), Web of Science, PubMed, Embase, and Cochrane Library, to identify randomized controlled trials (RCTs) investigating the efficacy of rTMS for PSCI. The search encompassed the period from database creation until July 28, 2023. To evaluate the risk of bias in included studies, we employed the Cochrane recommended risk of bias assessment tool. Furthermore, we extracted relevant clinical application parameters associated with rTMS and performed comparative analyses to assess their therapeutic effects under different parameter settings. The present study included 45 RCTs involving a total of 3,066 patients with PSCI. Both high-frequency repetitive transcranial magnetic stimulation (HF-rTMS) and low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) demonstrated safety and efficacy, yet failed to exhibit significant differentiation in terms of cognitive improvement. Furthermore, intermittent theta burst stimulation (iTBS), although yielding positive results, did not surpass traditional rTMS in effectiveness. Combining HF-rTMS with LF-rTMS resulted in superior efficacy compared to single rTMS intervention. Moreover, the combination of rTMS with other cognitive therapies exhibited potential for enhanced benefits among patients. rTMS can effectively and safely enhance cognitive function, improve quality of life, and enhance activities of daily living in patients with PSCI. Furthermore, the combination of rTMS with other conventional rehabilitation methods can yield additional positive effects. However, due to insufficient evidence, an optimal parameter protocol for rTMS can not be currently recommended. Future research should prioritize orthogonal experimental design methods that incorporate multiple parameters and levels to determine the optimal parameter protocol for rTMS in PSCI.

Development of lateral flow immunoassay strip for rapid detection of acute hepatopancreatic necrosis disease-causing PirAB toxins in shrimp

Acute hepatopancreatic necrosis disease (AHPND) is currently the most affected disease of shrimp farms worlwide As rapid and specific detection methods are essential to improve disease management, a lateral flow immunoassay (LFIA) was designed for the detection of PirAvp and PirBvp toxins in shrimp. In this study, polyclonal antibody based lateral flow immunoassay (LFIA) strip has been developed. The recombinant PirAvp and PirBvp toxin‐like proteins of Vibrio parahaemolyticus (VPAHPND) was used to immunize rabbits with the highest antibody titre after the third booster. This polyclonal rabbit antiserum was purified and used to develop a LFIA strip for the detection of AHPND pathogen. This test strip could detect PirAvp and PirBvp toxins up to 125 ng/mL by naked eye within 15 min. No cross-reactivity was observed with VPnon-AHPND. Furthermore, the sensitivity and specificity of LFIA were 94.0% and 98.0%, respectively. This LFIA strip could be used as a handy tool by the farmers and technicians in situ. ® 2023 Journal of Science and Technology - NTTU

Determination of norfloxacin, cipfloxacin, levofloxacin and moxifloxacin in urine by HPLC with a two-channel fluorescence detector

A sensitive HPLC-FLD method with two-channel fluorescence detection was established and validated for quantification of four fluoroquinolones (norfloxacin, ciprofloxacin, levofloxacin and moxifloxacin) in urine samples. The fluorescent detector was set at two-channel excitation and emission wavelengths: 280/445 nm (for NOR, CIP) and 290/500 nm (for LEVO, MOXI). The measurement protocol was in compatible with both of the sample treatment procedures including the liquid-liquid extraction (LLE) and solid-phase extraction (SPE). The method was well-validated with the limit of quantification: 0.027; 0.034; 0.024; 0.020 µg/mL (for LLE), and 0.028; 0.033; 0.024; 0.020 µg/mL (for SPE) for NOR, CIP, LEVO, MOXI, respectively. The method has been proved to be precise and accurate, with the relative standard deviation lower than 3% and the recovery ranging from 98.0%¸102.0%, for all fluoroquinolones. The proposed HPLC-FLD method provides an alternative approach for the simultaneous analysis of fluoroquinolones in urine. ® 2023 Journal of Science and Technology - NTTU

Comparative study on various morphologies of WS2 for electrochemical hydrogen evolution reaction

Nowadays, the advancement of cost-effective and efficient electrocatalysts holds significant importance in facilitating the progress of high-performance electrochemical hydrogen evolution reaction (HER). Tungsten disulfides (WS2) are well recognized as highly promising electrocatalysts for HER due to their exceptional catalytic performance, outstanding stability, and comparatively affordable price. In this study, we used ammonium metatungstate hydrate and thioacetamide as precursors to fabricate WS2 nanoflowers (NFs) by hydrothermal method, whereas WS2-flakes were prepared from ammonium tetrathiotungstate through the thermolysis technique. These structures were evaluated for HER electrocatalytic activity in acidic media. The results revealed that WS2-NFs exhibit higher catalytic activity than WS2-flakes, with an overpotential of 325 mV to obtain a current density of 10 mA cm−2 and a Tafel slope of 92.3 mV dec−1. This performance was attributed to the larger electrochemically active surface area of WS2-NFs compared to WS2-flakes materials. The results of this study could bring the basis for further studies on the synthesis of WS2-based catalytic materials for HER. ® 2023 Journal of Science and Technology - NTTU

Two-stage LEDs illuminated plastic bag photobioreactor for production of astaxanthin from Haematococcus pluvialis and manipulated egg yolk pigment by astaxanthin

Astaxanthin is one of the most significant secondary metabolites with high price because of its high antioxidant activity. It can be used in commercial applications, including the nutraceutical, pharmaceutical, and aquaculture Haematococcus pluvialis contains the richest natural source for astaxanthin, so it has gained a lot of attention for commercial astaxanthin production. It is suggested that H. pluvialis can produce astaxanthin through a two-stage process that involves growing biomass under optimal conditions and then subjecting this biomass to stress conditions to cause astaxanthin accumulation. In this study, we used a two-stage LED-illuminated technique to produce high level of astaxanthin in a plastic bag photobioreactor. Plastic bag PBRs have received increased attention in recent years due to low cost and simplicity of controlling the culture. The results demonstrated that the two-stage procedure on plastic bags using shifting red-blue LED had the ability to produce high quality astaxanthin at a low production cost. The highest dry biomass and astaxanthin content were 2.53 g L-1 and 5.09%, respectively. The yolk color and egg-laying rate of hens improved when their diets were supplemented with H. pluvialis biomass. Hens fed with 0.2%, 0.5%, and 1% biomass rose by 8% (63.81%), 16% (68.57%), and 17% (69.52%), respectively, as compared to controls (59.05%). ® 2023 Journal of Science and Technology - NTTU

Numerical modeling of the fracturing mechanisms of unconsolidated sand reservoirs under water injection

Produced Water Re-Injection is a standard practice in oil and gas operations. When performed at sufficiently high pressures, it can trigger the fracturing of the reservoir, which should be controlled to stimulate the formation without compromising its safety. While the mechanisms of the hydraulic fracturing of brittle rocks are well-understood, this understanding is more challenging in the case of unconsolidated sand reservoirs. Recent experimental studies indicate that pseudofractures in such formations primarily result from shear banding and flow channelization. There is a need for further interpretation of the experimental findings through numerical models that account for the proper physical phenomena. For that, a coupled finite element model of water percolation, particle transport and strain localization is developed to replicate the experiments of radial injection of water in mixtures of sand and fines by Nguyen et al., 2022: An experimental setup with radial injection cell for investigation of fracturing in unconsolidated sand reservoirs under fluid injection. Journal of Petroleum Science and Engineering 213:11036. To simulate shear banding, the model accounts for strain-softening behavior and introduces material imperfections in a few weak elements. Particle mobilization starts once a critical fluid velocity is reached and permeability is assumed to be a function of particle concentration. The numerical models can replicate the geometry of the observed radial pseudofractures, as well as the measured fracturing pressures. They also qualitatively capture the effects of the initial stress state on the fracturing pressure, the fracture length and on the permeability increases during the fracturing regime as observed in the laboratory tests. Notably, the numerical results gave hints on the role of the coupling between strain localization and particle transport on the formation of the pseudofractures. These findings are used to propose an updated conceptual model for the hydraulic fracturing of sand packs.

Experiences with enhancing data sharing in a large disciplinary engineering journal,

An issue that can limit the long-term value of information published in peer-reviewed engineering publications is the inability of readers to readily access data contained within a publication. This paper discusses experiences in changing the expectations for data sharing by authors in a large, disciplinary engineering journal, the AIChE Journal, in ways that seek to balance the burdens on authors and the benefits to readers.

Announcing the Journal of Materials Engineering and Performance 2023 Editor’s Choice Selections

Announcing the Journal of Materials Engineering and Performance 2023 Editor’s Choice Selections

Comparison of rehabilitation outcomes between robot-assisted and freehand screw placement in treatment of femoral neck fractures: a systematic review and meta-analysis

PurposeTo compare the postoperative rehabilitation of femoral neck fractures treated with robot-assisted nailing and freehand nailing.MethodsWe systematically searched the PubMed, EMBASE, Cochrane, China National Knowledge Infrastructure(CNKI), WanFang database, China Science and Technology Journal Database (VIP) and Web of Science databases to identify potentially eligible articles. Indispensable data such as the year of publication, country, study type, robot type, age, number of patients, sex distribution, study design, and outcome indicators were extracted. The outcome indicators of interest included healing rate, length of healing time, Harris score, operation time, frequency of X-ray fluoroscopy, frequency of guide pin insertion, and intraoperative blood loss. RevMan 5.4.1 was used for the meta-analysis.ResultsFourteen studies with 908 participants were included in this meta-analysis. The results showed that in terms of healing rate (SMD = 2.75, 95% CI, 1.03 to 7.32, P = 0.04) and Harris score (SMD = 2.27, 95% CI, 0.79 to 3.75, P = 0.003), robot-assisted screw placement technique scores were higher than the traditional freehand technique. Additionally, operative time (SMD = -12.72, 95% CI, -19.74 to -5.70, P = 0.0004), healing time (SMD = -13.63, 95% CI, -20.18 to -7.08, P < 0.0001), frequency of X-ray fluoroscopy (SMD = − 13.64, 95% CI, − 18.32 to − 8.95, P < 0.00001), frequency of guide pin insertion (SMD = − 7.95, 95% CI, − 10.13 to − 5.76, P < 0.00001), and intraoperative blood loss (SMD = − 17.33, 95% CI, − 23.66 to − 11.00, P < 0.00001) were lower for patients who underwent robotic-assisted screw placement than those for patients who underwent the conventional freehand technique.ConclusionCompared to the freehand nailing technique, robot-assisted nailing helps improve postoperative healing rates in patients with femoral neck fractures; shortens healing times; better restores hip function; reduces the number of intraoperative fluoroscopies, guides pin placements; reduces intraoperative bleeding; and increases perioperative safety.

Current Applied Science and Technology Annual Report 2023

Current Applied Science and Technology journal published 90 articles in Vol. 23 Nos. 1-6. Figure 1 show details of comparison of submission, acceptance rate (%) and rejection rate (%) during 2020-2023. It can be seen that the rejection rate is increased due to an increase of manuscripts submitted. The acceptance rate and the rejection rate do not include “in process” and withdrawn manuscripts. A decline after pre-screening and after review are counted as the rejection rate. The top ten countries of authors submitting manuscripts to be published in the journal in 2023 are shown in Figure 2. The top three countries are Thailand, India and Indonesia. Figure 3 shows numbers of published articles from KMITL, other organizations in Thailand and overseas. For KMITL, School of Science published the most numbers (29 articles), followed by School of Agricultural Technology (8 articles) and College of Materials Innovation and Technology (7 articles). For other organizations in Thailand (except KMITL), King Mongkut’s University of Technology Thonburi published the most (12 articles), followed by Mahasarakham University (11 articles) and Silpakorn University (9 articles). When the average duration process for publication during 2021-2023, as shown in Figure 4, are compared, it is found that the process time in 2023 is shorter than in 2022. For citation, Category and CiteScore rank in Scopus are presented in Table 1. For CiteScore rank in the year 2023, there are three subcategories in Q3, i.e. Agricultural and Biological Sciences (miscellaneous), Agronomy and Crop Science and Environmental Engineering.

Growth, trends and prevalent topics in geotechnical engineering (1998–2022) using topic modelling

Data gathered from 65 922 articles published in 30 geotechnical engineering journals between 1998 and 2022 were used to build a topic model and study the evolution of research output in the field. Over this period, the number of journal publications has grown exponentially with the number of articles published per year doubling every 6·3 years. The average citations per article (32·7) are skewed by highly cited articles, which make up 7·8% of the articles but account for 34·5 of the total number of citations. The articles’ country of origin has become increasingly centralised, with nearly half the articles published between 2018 and 2022 coming from China (39%) and the United States (10%). The topic distribution in the field has become highly specialised, with emerging topics being fuelled by: (a) new technologies and methods (i.e. data science and sensing techniques – the fastest-growing topics), and (b) rising applications seemingly related to mitigation (e.g. offshore and energy geotechnics) and adaptation (e.g. geohazards, mass movements) to climate change. As a consequence, traditional topics (e.g. soil and rock mechanics) have reduced their share in the field, but still remain among the most cited topics in geotechnical engineering.

Non-pharmacological interventions on quality of life in stroke survivors: A systematic review and meta-analysis.

Non-pharmacological interventions have been used in the rehabilitation of stroke survivors, but their effects on stroke survivors' quality of life (QoL) are unknown. This review aimed to summarize the existing evidence regarding non-pharmacological interventions for QoL in stroke survivors and to evaluate the effectiveness of different types of interventions. We systematically searched databases including PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Chinese BioMedical Literature Database, China Science and Technology Journal Database, and Wanfang data from the earliest available records to March 2023. Randomized controlled trials which explored the effects of non-pharmacological interventions on QoL in stroke patients were included. The meta-analysis was conducted to evaluate the effectiveness of different interventions on QoL. The Review Manager 5.3 was used to conduct the meta-analysis and the revised Cochrane risk-of-bias tool was used to assess the methodological quality of trials. A total of 93,245 records were identified, and 34 articles were reviewed and summarized, of which 20 articles were included in the meta-analysis. The summary of the findings of the included studies revealed fitness training, constraint-induced movement therapy (CIMT), physical exercise, music therapy (MT), and art-based interventions may have positive effects on QoL. The fitness training improved total QoL, especially in physical domains including physical functioning (mean difference [MD] = 10.90; 95% CI [7.20, 14.59]), role physical (MD = 10.63; 95% CI [6.71, 14.55]), and global health (MD = 8.76; 95% CI [5.14, 12.38]). The CIMT had a slight effect on general QoL (standardized mean difference [SMD] = 0.48, 95% CI [0.16, 0.80]), whereas significantly improved strength (MD = 8.84; 95% CI [1.31, 16.38]), activities of daily living/instrumental activities of daily living (ADL/IADL; MD = 10.42; 95% CI [2.98, 17.87]), and mobility (MD = 8.02; 95% CI [1.21, 14.83]). MT had a positive effect on the mental health domain (SMD = 0.54; 95% CI [0.14, 0.94]). Our findings suggest that fitness training and CIMThave a significant effect on improving physical QoL, while MThas a positive effect on improving psychological QoL. Future studies may use comprehensive and multicomponent interventions to simultaneously improve the patients' physical, psychological, and social QoL.