Overload Issues Research Articles

Analisis Penanganan dan Kendala Petugas Load Control dalam Membuat Weight And Balance pada Pesawat Malaysia Airlines Boeing 737-800 Di PT JAS Bandar Udara Internasional Soekarno Hatta Cengkareng

Load Control is a unit responsible for receiving and analyzing aircraft data and locals from various sources to ensure optimal aircraft balance with reference to safety and economical operation aspects. The purpose of this study is to understand the handling, challenges, and efforts of Load Control officers in creating the Weight and Balance for Malaysia Airlines Boeing 737-800 at PT JAS Soekarno Hatta Internasional Airport. The research method used in this study is descriptive qualitative, utilizing primary data (interviews and observations) and secondary data (documentation) in the from of Standard Operating Prosedures (SOP). Data analysis is conducted, data reduction, data presentation, and conclusions. The result of the study at Soekarno Hatta International Airport, Cengkareng, show that Load Control officers have carried out the Weight and Balance for Malaysia Airlines Boeing 737-800 in accordance with the specified Standard Operating Prosedures (SOP), especially in handling cargo that requires special attention. The challenges faced in creating Weight and Balance include ineffective communication between units, system disruptions or system down, and overload issues that can affect flight On The Performance. Efforts to address these challenges by Load Control officers include adhering to Standard Operating Prosedures (SOP), improving communication, and coordinating with various related parties to achieve On The Performance..

Solar Charging Station for Easy Bikes in Bangladesh: Validation and Post-Model Evaluation

The significance of renewable sources of energy is enormous in reducing the demand, use, and also price of fossil fuels following recent advances in related technologies allowing for the development of solar-powered cars. The number of users of electric vehicles (EVs) is increasing rapidly day by day all over the world. Due to the growing number of users of EVs, our existing electrical network is facing a lack of electric power because of the overload. As the number of electric and hybrid vehicles increases, efficient and integrated charging stations must be developed to solve the overload issues in existing networks. To address this, the paper proposes using onsite renewable energy sources such as solar energy and existing networks to improve the efficiency and effectiveness of charging stations. Combining photovoltaic with battery storage in a grid-connected system ensures the reliable functioning of the hybrid charging station. The paper focuses on the post-model evaluation, charging station distribution and location, business model, limitations, and software simulation and corresponding calculation. The results show that hybrid-powered charging stations can be economical, dependable, and efficient enough to fulfill the various demands of electric vehicle loads. GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 10(1), 2023 P 1-9

The development of a Competence Framework for Environmental Education complying with the European Qualifications Framework and the European Green Deal

Following the severe impact of capitalist industrialization on the environment, the EU has funded several projects in the context of the European Green Deal to pursue climate neutrality by 2050. Some of these projects attempt to achieve zero emissions through political participation, while others by committing EU citizens to adopt sustainable habits in terms of both practical behavior and economic choices. The GreenSCENT project, funded by the European Union’s Horizon 2020 research and innovation programme, aims to develop a Competence Framework compliant with the European Qualifications Framework and the European Green Deal. The present article documents the process of developing such a Competence Framework. Eight distinct research teams independently conducted a similar thorough literature review over an assigned topic (Climate Change; Clean Energy; Circular Economy; Green Building; Smart Mobility; From Farm to Fork; Biodiversity; Zero Pollution). The resulting documental corpora have then elicited to build the competence matrices and the corresponding European Qualification Framework levels. Once the information has been reorganized as a knowledge graph, the researchers discovered a large amount of novel interdomain connections, providing a more engaging way of interacting with the Competence Framework, and potentially apt to avoiding information overload issues while preserving the complexity, in line with the simplexity paradigm. The environmental education tools produced by this research could be useful in mitigating the repercussions of Capitalocene on the environment toward the adoption of more sustainable behaviors.

Use of Conventional Transfusion Thresholds Contributes to Ongoing Iron Overload Issues in Patients with Homozygous (SS) Sickle Cell Disease

Introduction: Homozygous sickle cell disease is characterized by chronic anemia which contributes to a clinical course characterized by recurrent pain crisis episodes. These episodes are usually managed with the use of packed red blood cell products. Randomized data is currently available that supports lower transfusion thresholds in non-sickle cell related conditions including but not limited to patients undergoing orthopedic procedures, cardio-vascular interventions and those needing intensive care. Due to lack of similar randomized trials in patients with sickle cell disease, recommendations from other trials are applied to patients with sickle cell diseases as well. However, this has the potential of worsening iron overload states that patients with sickle cell disease usually suffer from. Methods: Patients with homozygous SS sickle cell disease were evaluated with regarding to transfusion support given during hospitalization for vaso-occlusive pain crisis episodes. The hemoglobin threshold that was used for deciding whether or not to give packed red cell transfusion was studied in patients who were previously getting periodic red blood cell exchange procedures for chronic sickle cell related pain. Serum ferritin levels during the period of exchange transfusion support was compared with levels during simple transfusions. 8 patients were selected from the cohort of patients with homozygous sickle cell disease who had been receiving elective packed red blood cell exchanges. Patients with ferritin levels persistently remaining above 1000 ng/ml were then evaluated with regard to transfusion thresholds used for simple transfusion support during hospitalization for pain crisis episodes. Results: Six patients had persistently high ferritin levels. Thresholds for simple transfusion in this group were studied. A total of 30 units of packed red blood cells were found to be transfused over a 6-month period. During this period only one patient required an exchange transfusion session. 2 out of 30 units were given for a Hgb level above 7 g/dl. The majority, representing 24 out of the total 30 pack red blood cell units were given above a Hgb threshold of 6.0 g/dl. Only 4 units were given using a Hgb threshold less than 6 g/dl. Mean ferritin level before and after the period of simple transfusion support was 6097 ng/ml and 6076 ng/ml respectively. Mean Hgb level in while on exchange transfusion was 7.4 g/dl and it was 6.9 g/dl in those receiving a simple transfusion protocol. Conclusions: Transfusion threshold used in patients with homozygous SS sickle cell disease appears to be similar to patients without sickle cell disease. Current practice based on studies including TRICC and TRISS is to keep the Hgb level above 7 g/dl. This has been shown to be safe and in fact even improves patient outcomes. However, in patients with sickle cell disease this may not be appropriate since their baseline Hgb levels are lower to begin with. Also, transfusions don't appear to improve Hgb levels considerably. These patients also tend to have iron overload at baseline which likely will not improve unless all transfusions are limited. Therefore, applying a lower transfusion threshold would be recommended to avoid acute transfusion related issues and long-term iron overload problems in patients with SS disease.

Use of IV Hydration Instead of Exchange Transfusion for Prophylactic Management of Pain Crisis in Homozygous (SS) Sickle Cell Disease Helps Maintain Hgb Levels and Prevents Further Escalation of Iron Overload

Introduction: Indications for exchange transfusion in the management of sickle cell disease and its complications are over time becoming limited. Currently accepted indications include acute chest syndrome and cerebrovascular accidents only. However, there is often consideration of using exchange transfusions for management of sickle cell pain crisis episodes resistant to opioid-based pain management. This is, however, of questionable efficacy due to concerns of iron overload as well as alloimmunization. The excessive utilization of blood products also presents a significant challenge. Therefore, it is important to explore alternatives to exchange transfusion in the management of pain crisis in sickle cell disease. Method: This study aimed at investigating the effects of transitioning patients with homozygous SS disease from routine exchange transfusions to IV hydration protocols. The main objective was to examine the changes in Hgb levels and the status of iron overload in these patients. A cohort of 16 patients with a Ferritin level above 1000 ng/ml, who were already receiving regular exchange transfusions, were included in the study. Their Hgb levels and Ferritin levels were measured periodically. This group was then given IV hydration twice a week, regardless of whether they were experiencing pain issues. We then compared the Hgb and Ferritin levels during a 6-month period of active exchange transfusions and 6-month period of being on IV hydration protocols. Both periods were a year apart, allowing for adequate homeostatic changes to take place. Additionally, we compared the number of simple transfusions during both these periods. Result: The mean ferritin level in patients getting exchange transfusions was 6097 ng/mL with the mean Hgb level maintained at 7.48 g/dL. During the initial study period, there were 14 exchange transfusion sessions involving 96 units of packed red blood cells (PRBCs). Additionally, 8 units of simple transfusion units were administered during the same period. Interestingly, as this cohort transitioned away from exchange transfusions, the number of simple transfusions increased to 30. Only one exchange transfusion occurred during the second 6-month observation period. During this time, ferritin level stopped increasing, and the mean was measured at 6076 ng/ml. The Hgb levels did show a slight decrease, with the mean being 6.90 g/dL, but the difference was not statistically significant. Conclusion: The findings of this study suggest that the use of IV hydration protocol is effective in managing iron overload issues and maintaining an adequate Hgb level in patients who were previously undergoing routine exchange transfusions to prevent or manage pain crisis episodes. The results indicate that IV hydration should be initiated when ferritin levels increase beyond 1000 ng/ml, rather than waiting for more advanced stages. Moreover, the study shows that even when IV hydration is started at a later stage of iron overload, it still appears to limit further iron accumulation, as evidenced by the stabilization of ferritin levels. Overall, the use of IV hydration as an alternative to routine exchange transfusions holds promise in managing pain crisis and iron overload in sickle cell disease.

Multiple distribution networks hosting capacity assessment using a stochastic approach

The stochastic approach is applied to an entire concession area with 1264-LV distribution networks to estimate the hosting capacity. About 15 000-customers are connected to the individual secondary distribution networks supplied through 48-medium voltage 10 kV radial feeders.The hosting capacity assessment uses the end-customer voltage magnitude rise and transformer thermal overload. The hosting capacity is estimated by applying the “stochastic mixed aleatory-epistemic method” to determine the voltage magnitude rise and load flow with solar PV. The minimum power consumption is compared with the solar PV power infeed through the individual transformers.The hosting capacity estimation is done for three-phase connected solar PV sizes from 3 to 18 kW. At moderate PV penetration (25%–50%), the results showed that overvoltage would limit the hosting capacity more often than overload, but it becomes an issue only for LV networks studied with more than 8-customers. Considering all LV networks, most of the customers could install 6 kWp. Even when installing PV systems of 18 kWp (about twice the average size today and about the maximum area of a typical residential roof), two-thirds of houses would not need an upgrade to withstand SS-EN 50160 voltage limits. The latter customers can connect solar PV units with 18 kWp size without overvoltage or overload issues.

Integrating multi-criteria decision-making with hybrid deep learning for sentiment analysis in recommender systems.

Expert assessments with pre-defined numerical or language terms can limit the scope of decision-making models. We propose that decision-making models can incorporate expert judgments expressed in natural language through sentiment analysis. To help make more informed choices, we present the Sentiment Analysis in Recommender Systems with Multi-person, Multi-criteria Decision Making (SAR-MCMD) method. This method compiles the opinions of several experts by analyzing their written reviews and, if applicable, their star ratings. The growth of online applications and the sheer amount of available information have made it difficult for users to decide which information or products to select from the Internet. Intelligent decision-support technologies, known as recommender systems, leverage users' preferences to suggest what they might find interesting. Recommender systems are one of the many approaches to dealing with information overload issues. These systems have traditionally relied on single-grading algorithms to predict and communicate users' opinions for observed items. To boost their predictive and recommendation abilities, multi-criteria recommender systems assign numerous ratings to various qualities of products. We created, manually annotated, and released the technique in a case study of restaurant selection using 'TripAdvisor reviews', 'TMDB 5000 movies', and an 'Amazon dataset'. In various areas, cutting-edge deep learning approaches have led to breakthrough progress. Recently, researchers have begun to focus on applying these methods to recommendation systems, and different deep learning-based recommendation models have been suggested. Due to its proficiency with sparse data in large data systems and its ability to construct complex models that characterize user performance for the recommended procedure, deep learning is a formidable tool. In this article, we introduce a model for a multi-criteria recommender system that combines the best of both deep learning and multi-criteria decision-making. According to our findings, the suggested system may give customers very accurate suggestions with a sentiment analysis accuracy of 98%. Additionally, the metrics, accuracy, precision, recall, and F1 score are where the system truly shines, much above what has been achieved in the past.

Evaluating pavement performance in bus rapid transit systems: Lessons from Seoul, South Korea

The proposed research aims to systematically investigate the condition of bus stops throughout Seoul, a densely populated metropolitan area. The study involves conducting a survey of multiple bus stops, taking into consideration traffic volume and pavement damage type. Field tests using the Falling Weight Deflectometer are conducted in heavily damaged bus stop sections to evaluate the performance of the surface, subbase, and subgrade layers. Additionally, this research proposes a polymer-modified stone matrix asphalt mixture with a nominal maximum size of 10 mm (10 mm PSMA) to enhance the rutting resistance of bus stop pavements while ensuring compliance with dynamic modulus acceptance values. Laboratory tests including Hamburg wheel tracking and dynamic modulus tests are conducted to achieve this objective. The results reveal that inadequate quality of the surface layer is the main cause of bus stop pavement failure in Seoul, with the average FWD modulus of the asphalt layer falling below the standard requirement of 725 ksi (28 % lower), indicating a 'low' structural condition based on evaluation standards. This can be attributed to inappropriate gradation and overload issues during rush hour. The dynamic modulus test results show that the PSMA 10 mm mixture outperforms the conventional 13 mm mixture in the low-frequency range and shows comparable performance in the high-frequency range. The Hamburg wheel tracking test indicates that all proposed mixtures have settlement values below 5.5 mm and do not exhibit the stripping point phenomenon, indicating excellent rutting resistance. Notably, the 10 mm PSMA mixture demonstrates superior permanent deformation resistance compared to the 13 mm PSMA and 13 mm PMA mixtures (1.26–185 times lower). Overall, the proposed mixtures exhibit promising performance in mitigating fast degradation at bus stops.

The Dilemma of Information Overload: A Review of Literature from Accounting and Finance Related Studies

Purpose: Advancements in information and communication technologies enable the production of a mass amount of data and information. Do more information support quality decision-making? It is a dilemma. The purpose of this study is to address the findings related to information overload and discover potential research gaps. Design/Methodology/Approach: This paper aims to analyze the nature and trends of literature on information overload in the field of accounting and finance from 2017 to 2021 by adopting a systematic literature review approach. As a result of bibliometric analysis from the selected peer-reviewed journals, this paper shed light on 83 research papers for the review process. Findings: The current study finds an increasing trend of studies focusing on information overload issues in corporate reporting. Results portray that since corporate reports are the critical communication bridge between entities and their stakeholders, disseminating unclouded, coherent and transparent information through the reports is very important to facilitate users and decision-makers. Stakeholder perception studies on content, length, and readability of financial and non-financial information disclosures in the annual reports are suggested for future research endeavors. Originality: This study originates the point where the causes of information overload literally become a burden for effective decision-making. Thus, the finding of this study will be useful for both preparers and users of information in managing both financial and noninformation and help future researchers to spot gaps for upcoming research.

Impact of Reverse Power Flow on Distributed Transformers in a Solar-Photovoltaic-Integrated Low-Voltage Network

Modern low-voltage distribution systems necessitate solar photovoltaic (PV) penetration. One of the primary concerns with this grid-connected PV system is overloading due to reverse power flow, which degrades the life of distribution transformers. This study investigates transformer overload issues due to reverse power flow in a low-voltage network with high PV penetration. A simulation model of a real urban electricity company in Ghana is investigated against various PV penetration levels by load flows with ETAP software. The impact of reverse power flow on the radial network transformer loadings is examined for high PV penetrations. Using the least squares method, simulation results are modelled in Excel software. Transformer backflow limitations are determined by correlating operating loads with PV penetration. At high PV penetration, the models predict reverse power flow into the transformer. Interpolations from the correlation models show transformer backflow operating limits of 78.04 kVA and 24.77% at the threshold of reverse power flow. These limits correspond to a maximum PV penetration limit of 88.30%. In low-voltage networks with high PV penetration; therefore, planners should consider transformer overload limits caused by reverse power flow, which degrades transformer life. This helps select control schemes near substation transformers to limit reverse power flow.

Speed Control of Magnetic Drive-Trains with Pole-Slipping Amelioration

The paper introduces new techniques to reduce the potential for pole-slipping induced by control systems and presents a low-cost pole-slipping detection and recovery scheme for magnetic drive-trains (MDTs). For the first time, the paper shows that a combination of electromagnetic and load-torque excitations which individually are not greater than the maximum coupling torque can initiate pole-slipping. For applications where acceleration feedback is unavailable, the motor-side inertia is virtually increased with a tracking differentiator to provide feedback of acceleration. Subsequently, controller design and parameter optimization are discussed. Experimental measurements on a custom test facility verify the presented principles that low-bandwidth controller designs with low inertia ratios can accommodate a wider range of on-load startup torque and load-torque disturbances without pole-slipping. To address overload issues, a pole-slipping detection method based on the kurtosis of electromagnetic torque and a recovery strategy based on converting the state of pole-slipping into that of on-load startup are presented. Experimental results demonstrate that detecting slip anomalies without load-side information, and recovery from pole-slipping without auxiliary mechanical devices are both feasible.

Transformation of a three‐phase double‐circuit overhead transmission line into a six‐phase feeder to increase power transfer capability

The UK net-zero target requires the integration of significant renewable energy resources into the electrical grid. This, together with the projected growth in electricity demand imposes practical challenges on the power transfer capability of existing transmission feeders. For environmental and planning reasons, construction of new overhead lines is problematic, and where possible upgrading of existing substations and lines is preferred. This paper investigates the feasibility of transforming an existing three-phase (3Φ) double-circuit 400 kV line into a six-phase (6Φ) feeder for a simulated future GB scenario. Results indicate a 6Φ feeder, operating at a ‘phase-adjacent phase’ voltage of 400 kV can effectively solve the constraints of boundaries in transmission networks. When considering the various operating contingencies, associated with an important UK network boundary and its expected near-future winter-peak power transfer requirements, the thermal overload issues are mitigated by transforming a feeder from 3Φ to 6Φ. The paper demonstrates upgrading to 6Φ technology is a potential solution to certain future boundary constraints and in these cases avoids the need to build new underground or overhead AC/DC lines.

Technostress causes cognitive overload in high-stress people: Eye tracking analysis in a virtual kiosk test

In the midst of the COVID-19 pandemic, the use of non-face-to-face information and communication technology (ICT) such as kiosks has increased. While kiosks are useful overall, those who do not adapt well to these technologies experience technostress. The two most serious technostressors are inclusion and overload issues, which indicate a sense of inferiority due to a perceived inability to use ICT well and a sense of being overwhelmed by too much information, respectively. This study investigated the different effects of hybrid technostress—induced by both inclusion and overload issues—on the cognitive load among low-stress and high-stress people when using kiosks to complete daily life tasks. We developed a ‘virtual kiosk test’ to evaluate participants’ cognitive load with eye tracking features and performance features when ordering burgers, sides, and drinks using the kiosk. Twelve low-stress participants and 13 high-stress participants performed the virtual kiosk test. As a result, regarding eye tracking features, high-stress participants generated a larger number of blinks, a longer scanpath length, a more distracted heatmap, and a more complex gaze plot than low-stress participants. Regarding performance features, high-stress participants took significantly longer to order and made more errors than low-stress participants. A support-vector machine (SVM) using both eye tracking features (i.e., number of blinks, scanpath length) and a performance feature (i.e., time to completion) best differentiated between low-stress and high-stress participants (89% accuracy, 100% sensitivity, 83.3% specificity, 75% precision, 85.7% F1 score). Overall, under technostress, high-stress participants experienced cognitive overload and consequently decreased performance; whereas, low-stress participants felt moderate arousal and improved performance. These varying effects of technostress can be interpreted through the Yerkes-Dodson law. Based on our findings, we proposed an adaptive interface, multimodal interaction, and virtual reality training as three implications for technostress relief in non-face-to-face ICT.

User Modeling and Profiling in Information Systems

User modeling or user profiling is fundamental to manage information overload issues in many adaptive and personalized systems (e.g., recommender systems, personalized search engines, adaptive user interfaces). Although there are some literature review papers that provide an overview of existing studies in user modeling and their usage, there is currently a lack of bibliometric studies that can provide a systematic and quantitative overview of this research area. Therefore, this paper aims to complete the existing literature in this research area through a bibliometric study based on 52,027 relevant publications extracted from Scopus, a world-leading publisher-independent global citation database. The analyses enabled us to identify the most relevant publications, sources of publications, authors, institutions, countries, and their collaboration. We also identify and classify the twelve most important associated topics, along with their subtopics and their trends. Some identified weak signals in topic trend analysis also provide good ideas of potential future research directions.

The Chemistry Teaching Laboratory: A Sensory Overload Vortex for Students and Instructors?

Engaging in laboratory practical activities, developing laboratory practical skills, and, to a degree, even wearing laboratory protective equipment such as safety coats and goggles are all quintessential components of chemistry education. It is becoming quite common for institutions to invest in large-scale chemistry teaching laboratories, filling them with cutting-edge technology, chemicals and apparatus, digital learning tools and laboratory furniture. It is also becoming quite common for educators to develop and execute well considered, research-based approaches to learning and teaching in the laboratory. However, despite such grand and admirable commitments and ambitions, there seems to be little acknowledgment of just how difficult it can be for some to be a room that is so noisy, bright, odorous and surrounded by hazards, risks, chemicals, glassware, electricity, gas, naked flames, eye washes, body showers, fume hoods─the list goes on. While sensory overload issues were once associated with psychiatric mental disorders such as Autism, Schizophrenia, and Attention Deficit Hyperactivity Disorder, it is now becoming known that anyone, regardless of whether they have a psychiatric mental disorder, can experience sensory issues for a variety of reasons. As such, while the chemistry teaching laboratory and all its sense-demanding intricacies might be manageable for some, for other students and instructors akin who experience sensory overload issues, it can be a most-unnerving environment to be in, let alone to think about chemical concepts. The purpose of this Article is to review literature on the concept of sensory overload, consider some research on sensory overload, and identify how this may implicate chemistry laboratory education.

사용자의 정성적 선호도와 정량적 선호도를 고려하는 추천 시스템 성능 향상에 관한 연구

With the recent rapid development of ICT (Information and Communication Technology) and mobile devices, most users receive various types of information. Thus, users would face information overload issues, which takes much time to select products and services they need or prefer. Therefore, a personalized recommender system has become a practical methodology to address such issues. Existing studies mainly utilized quantitative preferences (e.g., star ratings, click). However, such methodology has limitations in that quantitative information can not fully reflect the user

Voices of Caregivers: Key Demands Towards AI-driven Home Monitoring in Community-based Dementia Care

While most people with dementia prefer to live at home for as long as possible, this also puts more pressure on both their informal and formal care network. To provide support in home-based dementia care, there is growing interest in technology that allows caregivers to remotely monitor health and safety of people with dementia. Novel generations of these technologies are using non-wearable, pervasive sensors coupled with algorithms to continuously collect and model meaningful in-home information. However, while these self-learning monitoring systems develop rapidly, their target users’ views and demands are still insufficiently mapped out. To identify possible barriers to acceptance and ways to overcome these, we conducted a scenario-based study, including semi-structured interviews with informal caregivers (n=19) and focus groups with home care professionals (n=16) of community-dwelling people with dementia. Inductive qualitative content analysis revealed that both groups of caregivers were concerned about the informational privacy of their care recipient with dementia, information overload, and ethical issues related to dehumanizing care. Identified demands mainly centered around how to overcome these barriers. We identified several demands related to specific functionalities, user experience factors, services surrounding the technology, and integration into the existing work context. Most notably, caregivers highlighted the importance of introducing AI-driven in-home monitoring technologies in a way it prevents them from feeling undervalued. In conclusion, our findings can help to inform the development of more acceptable and unobtrusive in-home monitoring technologies to support home-based dementia care.

Covid-19 and Families With Parental Mental Illness: Crisis and Opportunity.

The COVID-19 emergency has affected us all, but not equally. Families where parents have mental illness (PMI) are potentially at increased risk, but little is known about how they or their support services managed under lockdown/restrictions. We harnessed our existing partnerships with adult and child mental health services in the Republic of Ireland (RoI) and Northern Ireland (NI) to investigate the qualitative experiences of service users and families in coping during the first COVID-19 lockdown (March–May 2020), and how services were supporting them. Semi-structured phone/online interviews were conducted with 22 clinicians/managers (12 from RoI; 10 from NI) who provided information from their caseloads (~155 families with PMI). Sixteen family members (10 from RoI, 6 from NI) were also interviewed. Data were analysed using standard thematic analysis. Sixty percent of families reported improved mental health, primarily due to respite from daily stresses and the “normalisation” of mental distress in the general population. Approximately 30%, typically with more severe/enduring mental illness, reported additional challenges, and mental distress including: unmanageable child behaviours; fear of relapse/hospitalisation; financial difficulties; absence of child care; and a lack of routines. Service provision varied considerably across regions. The experiences within this case study highlight unique opportunities to address the multiple stresses of pre-emergency daily living. We also highlight how mental health services and governments might become more “pandemic ready” to more effectively support vulnerable families, including addressing service overload issues, optimising the use of digital technologies, and providing in-person contact and social supports where required.

Demand response to improve the shared electric vehicle planning: Managerial insights, sustainable benefits

Massive adoption of shared electric mobility benefits people’s daily commute and environment but creates overload issues into the power grid, then further cause challenges to charging service operations and power management. Previous research always focuses on single optimization process on shared vehicle planning, rather than the combination of demand management into day-ahead planning operations. To this end, we attempt to propose a mixed integer programming model integrating demand response operations to further explore the impacts of demand response on shared electric vehicle planning operations. We first model a two-stages model integrating charging facility location in the first stage and vehicle relocation in the second stage. Moreover, both supply-side and demand-side uncertainties are considered and approximated into tractable form by applying sample average approximation and distributional robust set featuring the entropy knowledge and electric vehicle’s multi-level charging duration. The demand response policy is also proposed to reshape the original charging demand into an economical and reliable way to improve operational efficiency and mitigate the power overload issues caused by massive electric vehicle adoption. Further, we conduct a real-world case study in Amsterdam, the Netherlands, to explore the social-operational impacts of vehicle planning optimization model integrating the demand response, robust charging facility planning in three areas: (1) The demand response integration promote electric vehicle planning operations on cost-saving for about 3%. (2) Data richness of serviceability towards charging piles influence all decisions through the shared electric vehicle charging station planning. (3) A trade-off exists between technical progress on charging rate and charging technology stability.

CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms

The recommendation systems in the online platforms often suffer from the rating data sparseness and information overload issues. Previous studies on this topic often leverage review information to construct an accurate user/item latent factor. To address this issue, we propose a novel confidence-aware recommender model via review representation learning and historical rating behavior in this article. It is motived that ratings are consistent with reviews in terms of user preferences, and reviews often contain misleading comments (e.g., fake good reviews, fake bad reviews). To this end, the interaction latent factor of user and item in the framework is constructed by exploiting review information interactivity. Then, the confidence matrix, which measures the relationship between the rating outliers and misleading reviews, is employed to further improve the model accuracy and reduce the impact of misleading reviews on the model. Furthermore, the loss function is constructed by maximum a posteriori estimation theory. Finally, the mini-batch gradient descent algorithm is introduced to optimize the loss function. Experiments conducted on four real-world datasets empirically demonstrate that our proposed method outperforms the state-of-the-art methods. The proposed method also further promotes the application in learning resource adaptation. The source Python code will be available upon request.