Benefits Of Management Research Articles

ESG‐oriented analysts and corporate green innovation

AbstractThis paper investigates whether and how analysts' ESG orientation affects corporate green innovation in China. We find that ESG‐oriented analysts in brokerage firms with strong ESG performance significantly stimulate the target firms' green innovation. Mechanism analyses suggest that ESG‐oriented analysts enhance the anticipated benefits of corporate environmental risk management, and reduces the costs associated with managerial myopia and financial frictions. The effect could not be fully explained by analysts' competence. Our findings are robust to propensity score matching and difference‐in‐differences analyses. We provide valuable insights into the crucial role of analysts' ESG values in driving innovation‐oriented corporate sustainability.

Exercise and training in sickle cell disease: Safety, potential benefits, and recommendations.

Sickle cell disease (SCD) is a genetic disorder characterized by complex pathophysiological mechanisms leading to vaso-occlusive crisis, chronic pain, chronic hemolytic anemia, and vascular complications, which require considerations for exercise and physical activity. This review aims to elucidate the safety, potential benefits, and recommendations regarding exercise and training in individuals with SCD. SCD patients are characterized by decreased exercise capacity and tolerance. Acute intense exercise may be accompanied by biological changes (acidosis, increased oxidative stress, and dehydration) that could increase the risk of red blood cell sickling and acute clinical complications. However, recent findings suggest that controlled exercise training is safe and well tolerated by SCD patients and could confer benefits in disease management. Regular endurance exercises of submaximal intensity or exercise interventions incorporating resistance training have been shown to improve cardiorespiratory and muscle function in SCD, which may improve quality of life. Recommendations for exercise prescription in SCD should be based on accurate clinical and functional evaluations, taking into account disease phenotype and cardiorespiratory status at rest and in response to exercise. Exercise programs should include gradual progression, incorporating adequate warm-up, cool-down, and hydration strategies. Exercise training represents promising therapeutic strategy in the management of SCD. It is now time to move through the investigation of long-term biological, physiological, and clinical effects of regular physical activity in SCD patients.

The level of burnout and cognitive stress in managers when teleworking: the impact of psychosocial safety climate and the mediating role of demand-control-support

PurposeThe current research investigates the managers' perception of teleworking and attempts to understand how the psychosocial safety climate and psychosocial job characteristics affect their levels of burnout and cognitive stress levels while teleworking.Design/methodology/approachThis study used a survey, collecting data via questionnaires from five distinct organizations. N = 161 responses from managers were analyzed using the confirmatory factor analysis and regression analysis.FindingsThe findings show that managers who telework do not experience numerous psychosocial stressors. This means that they experience less burnout and cognitive stress. However, results also show that managers benefit from working in an environment with a high psychosocial safety climate.Practical implicationsOur study highlights the need to address managers' working conditions and well-being in telework, given their unique challenges, by fostering a supportive psychosocial climate and providing resources to mitigate stress and burnout.Originality/valuePrevious studies have thoroughly examined the dynamics of telework employees, including the challenges they face and the strategies their immediate supervisors employ to foster a positive remote work environment. Such research has illuminated various stressors that these individuals may confront while teleworking. Despite this, scant attention has been paid to the experiences of managers themselves when they operate from home. The concept of psychosocial safety climate becomes crucial when considering managers grappling with high job demands, low control, and insufficient support from their own superiors and peers. This gap has prompted the present study to explore the unique experiences of managers in a teleworking context, particularly concerning cognitive stress and burnout.

Optimization of node deployment in underwater internet of things using novel adaptive long short‐term memory‐based egret swarm optimization algorithm

SummaryOptimizing node deployment in the underwater Internet of Things (UIoT) poses significant challenges due to the complex and dynamic nature of underwater environments. This research introduces the adaptive long short‐term memory‐based egret swarm optimization algorithm (ALSTM‐ESOA), a novel approach designed to enhance network coverage and performance efficiently. Unlike traditional methods, ALSTM‐ESOA incorporates cognitive learning capabilities from long short‐term memory (LSTM) and dynamic adaptation strategies inspired by the hunting behaviors of egrets. The algorithm's effectiveness was tested through extensive simulations in MATLAB, demonstrating notable improvements over existing models: network throughput increased by up to 55.56%, deployment time decreased by 88.89%, and energy efficiency improved significantly. These enhancements are critical for robust, real‐time data collection and monitoring in underwater settings, providing substantial benefits for marine research and resource management. The findings suggest that ALSTM‐ESOA significantly outperforms conventional algorithms, offering a promising new tool for the advancement of UIoT applications. After being implemented in MATLAB, the suggested ALSTM‐ESOA model for the node deployment optimization in UIoT is examined. The proposed ALSTM‐ESOA in terms of network throughput is 55.56%, 38.89%, 36.11%, and 11.11% better than CNN, LSTM, ARO‐RTP, and IGOR‐TSA, respectively. Similarly, the proposed ALSTM‐ESOA with respect to deployment time is 88.89%, 81.82%, 75%, and 50% better than CNN, LSTM, ARO‐RTP, and IGOR‐TSA, respectively. For the purpose of exploring marine resources, monitoring underwater environments, and conducting marine scientific investigation, the research's findings are extremely valuable.

Plant-based diets for kidney disease prevention and treatment.

Plant-based diets are associated with a lower risk of hypertension, diabetes, cardiovascular disease, and mortality. Using the most recent evidence, we critically appraised the role of plant-based diets in primary and secondary prevention of chronic kidney disease (CKD) with a focus on key nutritional factors (dietary acid load, phosphorus, potassium, sodium, and fiber). In healthy individuals, observational studies found that greater intake of plant protein and higher adherence to plant-based diets (overall, healthful, and provegetarian) was associated with a lower risk of CKD. In those with CKD, plant-based diets were associated with a lower risk of mortality, improved kidney function, and favorable metabolic profiles (fibroblast growth factor-23, uremic toxins, insulin sensitivity, inflammatory biomarkers). Only few studies reported nutrient content of plant-based diets. These studies found that plant-based diets had lower dietary acid load, lower or no significant difference in phosphorus and sodium, and higher potassium and fiber. One study reported that vegetarian diets were associated with severe vitamin D deficiency compared to nonvegetarian diets. Plant-based diets provide several benefits for prevention and management of CKD, with little risk for individuals with CKD. Incorporation of vitamin D rich foods in plant-based diets may be helpful.

Variability in Care Pathways for Hip Fracture Patients in The Netherlands.

Background/Objectives: Integrated orthogeriatric care has demonstrated benefits in hip fracture management for older patients. Comprehensive care pathways are essential for effective integrated care delivery, yet local variability in care pathways persists. We assessed the current hip fracture care pathways in the Netherlands, focusing on the variability between these care pathways and the degree of implementation of orthogeriatric care. Methods: A nationwide inventory study was conducted. A survey was sent to all hospitals in the Netherlands to collect the care pathways or local protocols for hip fracture care. All care elements reported in the care pathways and protocols were systematically analyzed by two independent researchers. Furthermore, an assessment was performed to determine which model of orthogeriatric care was applied. Results: All 71 Dutch hospitals were contacted, and 56 hospitals responded (79%), of which 46 (82%) provided a care pathway or protocol. Forty-one care elements were identified in total. In the care pathways and protocols, the variability in the description of these individual care elements ranged from 7% to 87%. Twenty-one hospitals had an integrated care model with shared responsibility, while an equal number followed an orthopedic trauma surgeon-led care model. Conclusions: These findings provide a detailed description of the hip fracture care pathways in the Netherlands. Variations were observed concerning the care elements described in the care pathways, the structure of the care pathway, and the specification of several elements. The implementation of integrated care with shared responsibilities, as recommended by the international literature, has not been achieved nationwide. The clinical implications of the variability between care pathways, such as the influence on the quality of care, need to be further investigated.

Study Of Energy Management And Efficiency In Industrial Processes: Analysis Of Implementation And Its Impact On Productivity

This study focuses on the implementation and analysis of energy management and efficiency in the context of industrial processes to enhance productivity. Drawing upon literature review on the fundamental concepts of energy management and best practices in industries, this research identifies strategies and methods that can be applied to optimize energy use in manufacturing environments. The research methodology involves gathering data from various sources to evaluate the practical implementation of energy management strategies in manufacturing industries, including pre- and post implementation data analysis. The findings provide deep insights into the effectiveness of specific measures in reducing energy consumption, improving operational efficiency, and their overall impact on productivity. The study also highlights challenges that may arise in implementing energy management strategies, such as initial costs, staff training needs, and technology integration. However, the long-term benefits of efficient energy management include reduced operational costs and environmental sustainability. By combining technical and managerial approaches, this research provides a foundation for better decision-making in adopting sustainable practices in the industrial sector.

Real-Time Monitoring of Photovoltaic Panel Using Node-RED

This research aims to design and implement an Internet of Things (IoT)-based monitoring system for Photovoltaic (PV) panels using Node-RED. The system can monitor critical parameters such as voltage, current, power, and the electrical energy produced by the PV panels in real-time. The data obtained from the PV panels is sent to a Node-RED server and visualized in the form of indicators and graphs on a dashboard. Statistical analysis calculates the daily average power and total energy produced. The results show that the proposed system can enhance monitoring efficiency and significantly benefit PV system maintenance and management. Users can quickly identify and address issues that may arise, such as panel performance degradation or system disruptions. Energy analysis and maintenance planning can be carried out by collecting historical data. This research supports the broader renewable energy development and provides an effective real-time PV system monitoring solution.

Home-office implementation: challenges and changes in people management

PurposeThis paper investigates how organisations responded to the home office imposition during the recent global health crisis and its impacts on people management, detailing the organisational factors crucial for effective home-office implementation.Design/methodology/approachWe used an exploratory design based on a multiple case study with four companies from two contrasting sectors (manufacturing and information technology (IT)). We interviewed a total of 12 managers, including one HR manager (HRms) and two team managers from each company. We also conducted an online questionnaire with open questions, reaching out to 128 home-office workers from the four participating companies. This diverse group consisted of 67 workers from the IT sector and 61 workers from the manufacturing sector. To ensure a comprehensive analysis, we opted for a qualitative approach to examine the data.FindingsFindings enabled detail of the organisational factor of the Belzunegui-Eraso and Erro-Garcés (2020) extended Baruch and Nicholson’s (1997) model into people management issues: organisational culture, team management and human resources management (HRM) practices, as well as the technological support. The results also revealed that people management benefits from the successful home-office implementation, which boosted the digitalisation of human resources (HR) processes.Originality/valueConsidering the lessons learned from the home-office imposition, this research provides original insights into the field by exploring the roles of supervisors and HR managers, in non-health organisations, with different previous remote work experiences, in a recent global disruptive moment, based on a rich qualitative approach. The paper offers concrete guidelines for companies that intend to implement remote work management programs and contributes to deepen the knowledge of home-office experience, offering a model focusing on managers’ roles (HRms and TMs) and HRM practices.

The acute effects of variations in the flour composition of crackers on the glycemic index and glycemic responses in healthy adults.

This study assessed the glycemic index (GI) and glycemic load (GL) of three crackers formulated with different flours: a control cracker (CC) made with conventional flour, one with 30% whole wheat flour substitution (WWC), and another with 30% sunflower seed flour substitution (SFC). This study aimed to explore the impact of these substitutions, which vary in protein and fiber content, on the glycemic responses compared to a reference glucose drink. In a randomized controlled, crossover design, 11 healthy participants (mean age 23.5 ± 1 years; 7 women; BMI 23 ± 1 kg/m2), consumed cracker meals (CC, WWC, and SFC) each providing 50 g of available carbohydrates, and a 50 g glucose reference in separate sessions. The SFC crackers provided low GI and GL values (GI: 53 on the glucose scale, GL: 6 per serving), whereas the WWC and CC crackers provided high GI (GI: 77 and 90 on the glucose scale, respectively) and medium GL values (11 and 12 per serving, respectively). Compared with the glucose reference and CC crackers, only SFC induced lower postprandial glucose concentrations, lower glucose excursions, and lower peak glucose values. All crackers were rated as enjoyable and associated with increased satiety. SFC moderated postprandial glycemic responses compared to CC and the reference (D-glucose), but not WWC. These effects may be attributed to the soluble fibers and protein content of the SFC. These findings suggest potential benefits for body weight management and glycemic control, warranting further investigation of the role of flour substitutions in healthy snack options. This trial has been registered at Clinicaltrials.gov (NCT05702372).

Evaluation of a gel-based versus micro-pellet diet for adult zebrafish (Danio rerio).

Ad libitum feeding of laboratory zebrafish has potential benefits for colony management, but would require a new type of diet, such as a gel that remains in the tank. We hypothesized that adult zebrafish fed a gel diet would have similar body size and reproductive success compared with those fed a standard micro-pellet diet. The gel diet’s impact on water quality was determined to be safe for zebrafish prior to starting a 12-week feeding study. Two hundred adult AB zebrafish of mixed sex were randomly assigned to be fed exclusively either gel or micro-pellet diet. Fish body length and mass were measured every two weeks, and fish were bred within each feed group to assess fecundity. Zebrafish consumed less gel diet than expected. Body length, mass, and breeding success were lower in the gel diet fish than in the micro-pellet diet fish. Low consumption of the gel diet and/or nutritional differences between the two diets may have contributed to reduced growth and fecundity. Though the gel diet could reduce time personnel spend feeding and be safer for fish in static tanks, the tested formulation was not a satisfactory alternative to the control micro-pellet diet in a research zebrafish colony.

Periareolar approach in video-assisted thoracoscopic surgery for right middle lobectomy: a novel technique

BackgroundUniportal thoracoscopic right middle lobectomy (RML) poses greater technical challenges than other lobectomies. Although two-port thoracoscopy offers convenience, it results in heightened surgical trauma and scarring. The periareolar incision is rarely used in lobectomy while known for its cosmetic advantages. This study presents the periareolar access (combining a periareolar port and a 1-cm port) for video-assisted thoracoscopic surgery (VATS) in RML, comparing it with the traditional uniportal technique in both male and female patients.MethodsEighty patients who underwent RML were randomly divided into two groups: the periareolar VATS (PV) approach (n = 40) and the uniportal VATS (UV) approach (n = 40) from August 2020 to February 2023. All patients were followed up for 1 year and clinical data were collected and analyzed.ResultsNo significant differences in complications, blood loss, duration of chest tube placement, and length of postoperative hospital stay were observed between two methods. However, the PV group exhibited significantly shorter operative time, reduced postoperative visible scarring and lower visual analogue scores (VAS) for postoperative pain (P < 0.05). Additionally, the PV group demonstrated significantly higher cosmetic and satisfaction scores at the 6-month postoperative assessment (P < 0.05). Notably, breast ultrasound follow-up revealed two cases injuries of the mammary glands in female patients, and sensory function of most nipple and areola remained intact except two cases in all PV group patients.ConclusionsPeriareolar VATS emerges as a promising alternative approach for RML, providing clear benefits in pain management and cosmetic outcomes, while maintaining safety and convenience.Graphical

Performance of AI for preoperative CT assessment of lung metastases: Retrospective analysis of 167 patients

ObjectivesTo evaluate the performance of artificial intelligence (AI) in the preoperative detection of lung metastases on CT. Materials and methodsPatients who underwent lung metastasectomy in our institution between 2016 and 2020 were enrolled, their preoperative CT reports having been performed before an AI solution (Veye Lung Nodules, version 3.9.2, Aidence) became available as a second reader in our department.All CT scans were retrospectively processed by AI. The sensitivities of unassisted radiologists (original CT radiology reports), AI reports alone and both combined were compared. Ground truth was established by a consensus reading of two radiologists, who analyzed whether the nodules mentioned in the pathology report were retrospectively visible on CT. Multivariate analysis was performed to identify nodule characteristics associated with detectability. ResultsA total of 167 patients (men: 62.9 %; median age, 59 years [47–68]) with 475 resected nodules were included. AI detected an average of 4 nodules (0–17) per CT, of which 97 % were true nodules. The combination of radiologist plus AI (92.4 %) had significantly higher sensitivity than unassisted radiologists (80.4 %) (p < 0.001). In 27/57 (47.4 %) patients who had multiple preoperative CT scans, AI detected lung nodules earlier than the radiologist. Vascular contact was associated with non-detection by radiologists (OR:0.32[0.19, 0.54], p < 0.001), whilst the presence of cavitation (OR:0.26[0.13, 0.54], p < 0.001) or pleural contact (OR:0.10[0.04, 0.22], p < 0.001) was associated with non-detection by AI. ConclusionAI significantly increases the sensitivity of preoperative detection of lung metastases and enables earlier detection, with a significant potential benefit for patient management.

Pengaruh Lingkungan Kerja Fisik Terhadap Kepuasan Kerja Karyawan Toko Mas Rahayu Batujajar

This research aims to determine the effect of the physical work environment on employee job satisfaction at the Rahayu Batujajar mas shop. The research instruments used have passed validity and reliability tests. Data collection was carried out through interviews and questionnaires with employee respondents. Participation in this research involved 80 respondents using data collection techniques field research with simple random sampling. Data analysis uses a quantitative descriptive approach, validity testing, reliability testing and simple linear regression with the help of software statistik diprogram of social science (SPSS) version 27. These two hypotheses were strengthened by a one-party test of acceptance and rejection between the physical work environment on employee job satisfaction. These results indicate that the physical work environment has a positive effect on employee job satisfaction. The findings of this research can provide benefits for companies and management as consideration in making decisions regarding the physical work environment and job satisfaction.

Painful Subjects, Desiring Relief: Experiencing and Governing Pain in a Medical Cannabis Program.

Cannabis can provide patients benefits for pain and symptom management, improve their functionality, and enhance their well-being. Yet restrictive medical cannabis programs can limit these potential benefits. This article draws on four years of research into Minnesota's medical cannabis program-one of the most restrictive in the United States-including in-depth interviews with patients and a survey of health care professionals. Drawing on the new materialist concepts of Deleuze and Guattari, this article analyzes (a) the benefits patients in Minnesota's medical cannabis program derive from cannabis, (b) how program restrictions mediate access to cannabis and its derived benefits, and (c) some key ways in which medical and criminal justice institutional authorities are reconfigured around medical cannabis. I show how the imperative to authoritatively govern "dangerous drugs" persists in consequential ways as the War on Drugs shifts toward a medicalized, criminalized, and commercial-legalized mixed regime.

Multi-objective Approach for Dynamic Economic Emission Dispatch Problem Considering Power System Reliability and Transmission Loss Prediction Using Cascaded Forward Neural Network

This study addresses the significant problem of Dynamic Economic Emission Dispatch (DEED), a critical consideration in power systems from both economic and environmental protection viewpoints. Reliability stands as another vital facet, impacting maintenance and operation perspectives. The integration of Artificial Neural Network (ANN)-based transmission loss prediction into the DEED model is also essential to address specific limitations and enhance the overall performance of the dispatch process. Traditionally, the DEED model relies on a single B-loss coefficient to estimate transmission losses. While this approach simplifies calculations, it fails to account for the significant variations in demand that occur throughout the dispatch period and it leads to inaccuracies in loss prediction, especially in dynamic environments. Using a single coefficient, the model cannot adequately capture the complex, non-linear relationships between power generation, load, and transmission losses under different operating conditions. To overcome this limitation, this study introduces an ANN-based loss prediction method integrated into the DEED model and uses trained ANN to replace the process of finding B-loss coefficients during each dispatch period. This paper also introduces a strategy leveraging the multi-objective northern goshawk optimizer algorithm, characterized by a non-dominated sorting and crowding distance mechanism, to enhance DEED considerations incorporating reliability (DEEDR). This novel algorithm improves the solution space effectively, maintains high population diversity and enables an even distribution of individuals sharing the same rank in the objective space. The fundamental objective of this study is to balance fuel cost, emission, and system reliability in power system operations. Compared with a few existing multi-objective optimization algorithms, this study demonstrates superior performance in generating a series of non-dominated solutions. The experimental results highlight its competitive and potential as an efficient tool in the DEED and DEEDR problems, promising a synergistic coordination of economy, environmental protection, and system reliability benefits in power system management.

The Therapeutic Role of Lamotrigine in Borderline Personality Disorder: A Comprehensive Review of Outcomes, Mechanisms, and Treatment Strategies.

Borderline personality disorder (BPD) is a severe mental health condition characterized by pervasive instability in mood, self-image, and interpersonal relationships, significantly impacting individuals' personal, social, and occupational functioning. Current treatment strategies primarily include psychotherapy and pharmacotherapy, but there remains a need for more effective and targeted pharmacological options. This review examines the therapeutic role of lamotrigine in BPD, focusing on its efficacy, safety, mechanisms of action,and practical treatment strategies. A comprehensive review of the existing literature was conducted, including clinical trials, observational studies, and relevant pharmacological data. Key focus areas included lamotrigine's impact on BPD symptoms, pharmacological profile, and comparative effectiveness with other treatments. Lamotrigine has shown promise in managing BPD symptoms, particularly in stabilizing mood and reducing emotional dysregulation and impulsivity. Clinical trials suggest that lamotrigine can effectively address core symptoms of BPD, with a safety profile generally comparable to other treatments. The medication's mechanism of action, which involves modulation of glutamate release and mood stabilization, aligns with the therapeutic goals for BPD. Lamotrigine represents a potential adjunctive treatment for BPD, offering benefits in mood stabilization and symptom management. Integrating psychotherapy and other pharmacological options should be considered within a multimodal treatment approach. Further research is needed to better understand its long-term efficacy and safety and its role in combination therapy.

The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example

AbstractObjectiveIncreasing reliance on numerical simulation models to help inform management and restoration choices benefits from careful consideration of critical early steps in model development. Along the northern coast of the Gulf of Mexico, the eastern oyster Crassostrea virginica fulfills important ecological and economic roles. Using the eastern oyster as an example, we draw on several recent frameworks outlining best practices for model development and application for restoration, conservation, and management.MethodsWe identify priority model questions, outline a conceptual ecological model (CEM) to guide numerical model development, and use this framework to identify uncertainties and research needs.ResultThe CEM uses a nested design, identifying explicit vital rates, processes, attributes, and outcomes for the species (oysters), population, and metapopulation (i.e., network of populations) levels in response to drivers of species, population, and metapopulation changes and changing environmental factors. Most management actions related to oyster restoration and harvest affect population attributes directly, but many coastal management actions and changes (i.e., climate change and coastal and water resource engineering) impact environmental factors that alter vital rates and attributes of oysters, populations, and metapopulations.ConclusionInvestment in studies targeting individual oyster‐ and population‐level multi‐stressor responses (filtration, respiration, growth, and reproduction) and improving hydrodynamic and environmental models targeting drivers that influence metapopulation vital rates and attributes (i.e., connectivity and substrate persistence) would contribute to reducing uncertainties. Development of numerical models covering the entire oyster life cycle and connectivity of populations using hydrodynamic models of current and predicted conditions to provide key abiotic and biotic factors influencing larval movement, recruitment, and on‐reef oyster vital rates would assist in balancing the goals of conservation, restoration, and fisheries management of this foundational estuarine species.

Characterization of finger millet extracts and evaluation of their nematicidal efficacy and plant growth promotion potential.

Plant-parasitic nematodes pose a significant threat to finger millet crops, potentially causing yield reduction of up to 70%. Extracts derived from finger millet varieties contain potent bioactive compounds that can mitigate nematode damage and promote plant growth. This study aimed at isolating and characterizing bioactive compounds from the finger millet varieties Ikhulule, Okhale-1, and U-15; evaluating the impact of Ikhulule and U-15 extracts on the mortality of the root lesion nematode Pratylenchus vandenbergae; assessing the growth promotion effects of Ikhulule and U-15 extracts on the finger millet variety Okhale-1; and determining the efficacy of these extracts in managing plant-parasitic nematodes under greenhouse conditions. Extracts were obtained from both leaves and roots and tested invitro for nematode mortality and invivo for growth promotion and nematode control. The results showed that finger millet extracts exhibited strong nematicidal properties invitro, achieving a mortality rate of up to 98% against P. vandenbergae nematodes. Applying these extracts to finger millet shoots significantly reduced nematode populations in both soil and roots and decreased the reproductive factor to below one (1), indicating an effective nematode control. The study attributes the enhanced nematicidal effects of finger millet extracts to their bioactive compounds, particularly dodecanoic acid, phytol, 1,1,4a-trimethyl-6-decahydro naphthalene, 2,3-dihydro-benzofuran, 2-methoxy-4-vinylphenol and ethyl ester, and hexadecanoic acid. These findings suggest that finger millet-derived extracts offer a natural solution for nematode management and broader agronomic benefits, ultimately contributing to overall plant health and productivity.

Optimized flow rate and efficient shaft water cooling method for EV's PMSM temperature-dependent energy system output power increase

One possible way to enhance the power density of electric vehicle (EV) powertrains is by utilizing temperature-sensitive permanent magnet synchronous motors (PMSMs) managed through liquid cooling. The management of benefits and costs from EV PMSM liquid cooling versus power are carried out for energy system output power (ESOP) increase. This study examines the effects of optimizing flow rate into housing water jackets (HWJ) and implementing compound shaft water (SWJ) cooling as management strategies using numerical multiphysics simulations and experiments. The PMSM with higher temperature at higher speed shows larger profit space brought by enhanced cooling. The optimized HWJ flow rate is a highly-efficient strategy to increase ESOP when overall pumping efficiency e1 for HWJ is less than 5 %, increasing more than 5.6 %, 2.1 % and 2.4 % ESOP at 1500, 3500, and 7000 rpm continuous working point. ESOP is insensitive to the condition of HWJ flow rate below 6 L/min or e1 over 30 %. The SWJ cooling is proved to be a low-cost and high-yield energy management strategy roughly independent of SWJ flow rate and EV's cooling system arrangement. ESOP is further increased by up to 3.9 %, 6.2 % and 4.4 % with SWJ cooling at 1500, 3500, and 7000 rpm.