scholarly journals A Chemistry-Oriented Cost-Effective Expert Team Formation in Social Networks

2021 ◽  
Author(s):  
◽  
Yashar Najaflou
Keyword(s):  
Social Networks ◽  
Real Life ◽  
Cost Effective ◽  
Communication Cost ◽  
Team Formation ◽  
Personnel Cost ◽  
Effective Teams ◽  
Novel Approach ◽  
Effective Manner ◽  
Expertise Level

<p>The growth of social networks in modern information systems has enabled the collaboration of experts at an unprecedented scale. Given a social network and a task consisting of a set of required skills, Team Formation (TF) aims at finding a team of experts who can cover the required skills and can communicate in an effective manner. However, this definition has been interpreted as the problem of finding teams with minimum communication cost which neglects two aspect of team formation in real life. The first is that in reality experts are multi-skilled, hence communication cost cannot be a fixed value and should vary according to the channels employed. The second ignored aspect is disregarding teams with high expertise level who can still satisfy the required communication level.  To tackle above mentioned issues, I introduce a dynamic formof communication for multi-facet relationships and use it to devise a novel approach called Chemistry Oriented Team Formation (ChemoTF) based on two new metrics; Chemistry Level and Expertise Level. Chemistry Level measures scale of communication required by the task andExpertise Level measures the overall expertise among potential teams filtered by Chemistry Level. Moreover, I adopt a personnel cost metric to filter costly teams. The experimental results on the corpus compiled for this purpose suggests that ChemoTF returns communicative and cost-effective teams with the highest expertise level compared to state-of-the-art algorithms. The corpus itself is a valuable output which contains comprehensive scholarly information in the field of computer science.</p>

scholarly journals A Chemistry-Oriented Cost-Effective Expert Team Formation in Social Networks

2021 ◽  
Author(s):  
◽  
Yashar Najaflou
Keyword(s):  
Social Networks ◽  
Real Life ◽  
Cost Effective ◽  
Communication Cost ◽  
Team Formation ◽  
Personnel Cost ◽  
Effective Teams ◽  
Novel Approach ◽  
Effective Manner ◽  
Expertise Level

<p>The growth of social networks in modern information systems has enabled the collaboration of experts at an unprecedented scale. Given a social network and a task consisting of a set of required skills, Team Formation (TF) aims at finding a team of experts who can cover the required skills and can communicate in an effective manner. However, this definition has been interpreted as the problem of finding teams with minimum communication cost which neglects two aspect of team formation in real life. The first is that in reality experts are multi-skilled, hence communication cost cannot be a fixed value and should vary according to the channels employed. The second ignored aspect is disregarding teams with high expertise level who can still satisfy the required communication level.  To tackle above mentioned issues, I introduce a dynamic formof communication for multi-facet relationships and use it to devise a novel approach called Chemistry Oriented Team Formation (ChemoTF) based on two new metrics; Chemistry Level and Expertise Level. Chemistry Level measures scale of communication required by the task andExpertise Level measures the overall expertise among potential teams filtered by Chemistry Level. Moreover, I adopt a personnel cost metric to filter costly teams. The experimental results on the corpus compiled for this purpose suggests that ChemoTF returns communicative and cost-effective teams with the highest expertise level compared to state-of-the-art algorithms. The corpus itself is a valuable output which contains comprehensive scholarly information in the field of computer science.</p>

scholarly journals A novel state space reduction algorithm for team formation in social networks

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0259786
Author(s):  
Muhammad Zubair Rehman ◽  
Kamal Z. Zamli ◽  
Mubarak Almutairi ◽  
Haruna Chiroma ◽  
Muhammad Aamir ◽  
...  
Keyword(s):  
Social Networks ◽  
Large Scale ◽  
Large Data ◽  
Cost Effective ◽  
Communication Cost ◽  
Team Formation ◽  
Graph Reduction ◽  
Effective Teams ◽  
Space Reduction ◽  
Benchmark Datasets

Team formation (TF) in social networks exploits graphs (i.e., vertices = experts and edges = skills) to represent a possible collaboration between the experts. These networks lead us towards building cost-effective research teams irrespective of the geolocation of the experts and the size of the dataset. Previously, large datasets were not closely inspected for the large-scale distributions & relationships among the researchers, resulting in the algorithms failing to scale well on the data. Therefore, this paper presents a novel TF algorithm for expert team formation called SSR-TF based on two metrics; communication cost and graph reduction, that will become a basis for future TF’s. In SSR-TF, communication cost finds the possibility of collaboration between researchers. The graph reduction scales the large data to only appropriate skills and the experts, resulting in real-time extraction of experts for collaboration. This approach is tested on five organic and benchmark datasets, i.e., UMP, DBLP, ACM, IMDB, and Bibsonomy. The SSR-TF algorithm is able to build cost-effective teams with the most appropriate experts–resulting in the formation of more communicative teams with high expertise levels.

scholarly journals An Enhanced Inverse Filtering Methodology for Drive-By Frequency Identification of Bridges Using Smartphones in Real-Life Conditions

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 499-513
Author(s):  
Nima Shirzad-Ghaleroudkhani ◽  
Mustafa Gül
Keyword(s):  
Surface Roughness ◽  
Smart Cities ◽  
Real Life ◽  
Cost Effective ◽  
Vehicle Speed ◽  
Inverse Filtering ◽  
Novel Approach ◽  
Life Scale ◽  
Frequency Identification ◽  
Speed Effect

This paper develops an enhanced inverse filtering-based methodology for drive-by frequency identification of bridges using smartphones for real-life applications. As the vibration recorded on a vehicle is dominated by vehicle features including suspension system and speed as well as road roughness, inverse filtering aims at suppressing these effects through filtering out vehicle- and road-related features, thus mitigating a few of the significant challenges for the indirect identification of the bridge frequency. In the context of inverse filtering, a novel approach of constructing a database of vehicle vibrations for different speeds is presented to account for the vehicle speed effect on the performance of the method. In addition, an energy-based surface roughness criterion is proposed to consider surface roughness influence on the identification process. The successful performance of the methodology is investigated for different vehicle speeds and surface roughness levels. While most indirect bridge monitoring studies are investigated in numerical and laboratory conditions, this study proves the capability of the proposed methodology for two bridges in a real-life scale. Promising results collected using only a smartphone as the data acquisition device corroborate the fact that the proposed inverse filtering methodology could be employed in a crowdsourced framework for monitoring bridges at a global level in smart cities through a more cost-effective and efficient process.

scholarly journals What they really think: Resolving methodological issues in supply chain ethics research

2007 ◽  
Vol 7 (1) ◽  
Author(s):  
K. Chipp ◽  
M. Goldman ◽  
N. Kleyn
Keyword(s):  
Sampling Methods ◽  
Response Rate ◽  
Cost Effective ◽  
High Response Rate ◽  
Research Approach ◽  
Validity And Reliability ◽  
Sampling Frame ◽  
Novel Approach ◽  
Effective Manner ◽  
Ethics Research

Purpose: The aim of this paper is to further the theory and strengthen methodological approaches to the role of ethics in buyer-seller relationships. The paper explores opportunities to enhance response rates, validity and reliability in the research context of organisations seeking to understand the ethical beliefs their suppliers hold of their buying organisations. Design/Methodology/Approach: The research universe is a select business group, all of which are technologically literate and online. Innovative research sampling methods were selected to great effect. The method selected was saturation surveying, a process whereby all identifiable target respondents are surveyed. Instead of selecting between sampling techniques, the option of saturation surveying, cheaply available electronically, removes the focus from the decision to either sample probabilistically or not. Instead, as the entire universe can be contacted in a cost effective manner, the sampling frame becomes of paramount importance. Thus, the focus then shifts from accurately selecting respondents from the sampling frame towards enhancing the sampling frame itself. The sampling frame was improved through guidance from the literature. Findings: The paper demonstrates that this research approach was successful in that it generated a high response rate, suggesting great involvement amongst the supplier population in the topic at hand. It also indicates a lessening of non-response bias, as the response rate is more than double that of previous research into the area. Implications: This paper presents a comprehensive approach to researching ethics in buyer-seller relations. It further promotes the effective use of new sampling methods enabled by the Internet when directed towards selective populations. Originality/Value: The novel approach of sampling frame enhancement twined with saturation surveying has exciting implications for business research. The expansion of the sampling frame to a wider audience of suppliers has long been noted as necessary although not actioned. Furthermore, in terms of the little-studied nature of buyer-seller relations, the verification of the scale developed by Bendixon and Abratt (2007) affirms the robustness of this measure for ethics research. 

A new algorithm for detecting communities in social networks based on content and structure information

2019 ◽  
Vol 16 (1) ◽  
pp. 79-93
Author(s):  
ELyazid Akachar ◽  
Brahim Ouhbi ◽  
Bouchra Frikh
Keyword(s):  
Social Networks ◽  
Community Detection ◽  
Structural Information ◽  
Real Life ◽  
Data Sets ◽  
Content Type ◽  
Structure Information ◽  
Novel Approach ◽  
Real Life Data ◽  
Content Information

Purpose The purpose of this paper is to present an algorithm for detecting communities in social networks. Design/methodology/approach The majority of existing methods of community detection in social networks are based on structural information, and they neglect the content information. In this paper, the authors propose a novel approach that combines the content and structure information to discover more meaningful communities in social networks. To integrate the content information in the process of community detection, the authors propose to exploit the texts involved in social networks to identify the users’ topics of interest. These topics are detected based on the statistical and semantic measures, which allow us to divide the users into different groups so that each group represents a distinct topic. Then, the authors perform links analysis in each group to discover the users who are highly interconnected (communities). Findings To validate the performance of the approach, the authors carried out a set of experiments on four real life data sets, and they compared their method with classical methods that ignore the content information. Originality/value The experimental results demonstrate that the quality of community structure is improved when we take into account the content and structure information during the procedure of community detection.

scholarly journals A Modular Approach for a Patient Unit for Extracorporeal Membrane Oxygenation Simulator

Membranes ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 424
Author(s):  
Yahya Alhomsi ◽  
Abdullah Alsalemi ◽  
Mohammad Noorizadeh ◽  
Faycal Bensaali ◽  
Nader Meskin ◽  
...  
Keyword(s):  
Extracorporeal Membrane Oxygenation ◽  
Real Life ◽  
Cost Effective ◽  
Training Process ◽  
New Approach ◽  
Membrane Oxygenation ◽  
Audio Cues ◽  
Effective Manner ◽  
Simulation Based ◽  
Emergency Scenarios

Despite many advancements in extracorporeal membrane oxygenation (ECMO), the procedure is still correlated with a high risk of patient complications. Simulation-based training provides the opportunity for ECMO staff to practice on real-life scenarios without exposing ECMO patients to medical errors while practicing. At Hamad Medical Corporation (HMC) in Qatar, there is a critical need of expert ECMO staff. Thus, a modular ECMO simulator is being developed to enhance the training process in a cost-effective manner. This ECMO simulator gives the instructor the ability to control the simulation modules and run common simulation scenarios through a tablet application. The core modules of the simulation system are placed in the patient unit. The unit is designed modularly such that more modules can be added throughout the simulation sessions to increase the realism of the simulation sessions. The new approach is to enclose the patient unit in a trolley, which is custom-designed and made to include all the components in a modular fashion. Each module is enclosed in a separate box and then mounted to the main blood simulation loop box using screws, quick connect/disconnect liquid fittings, and electrical plugs. This method allows fast upgrade and maintenance for each module separately as well as upgrading modules easily without modifying the trolley’s design. The prototype patient unit has been developed for portability, maintenance, and extensibility. After implementation and testing, the prototype has proven to successfully simulate the main visual and audio cues of the real emergency scenarios, while keeping costs to a minimum.

scholarly journals In-house reverse transcriptase polymerase chain reaction for detection of SARS-CoV-2 with increased sensitivity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Manash Jyoti Kalita ◽  
Kalpajit Dutta ◽  
Gautam Hazarika ◽  
Ridip Dutta ◽  
Simanta Kalita ◽  
...  
Keyword(s):  
Multiplex Pcr ◽  
Real Time ◽  
Real Time Pcr ◽  
Cost Effective ◽  
Sybr Green ◽  
Green Approach ◽  
Novel Approach ◽  
Effective Manner ◽  
Wide Range ◽  
Thermal Cycler

AbstractAs the COVID-19 infection continues to ravage the world, the advent of an efficient as well as the economization of the existing RT-PCR based detection assay essentially can become a blessing in these testing times and significantly help in the management of the pandemic. This study demonstrated an innovative and rapid corroboration of COVID-19 test based on innovative multiplex PCR. An assessment of optimal PCR conditions to simultaneously amplify the SARS-CoV-2 genes E, S and RdRp has been made by fast-conventional and HRM coupled multiplex real-time PCR using the same sets of primers. All variables of practical value were studied by amplifying known target-sequences from ten-fold dilutions of archived positive samples of COVID-19 disease. The multiplexing with newly designed E, S and RdRp primers have shown an efficient amplification of the target region of SARS-CoV-2. A distinct amplification was observed in 37 min using thermal cycler while it took 96 min in HRM coupled real time detection using SYBR green over a wide range of template concentrations. Our findings revealed decent concordance with other commercially available detection kits. This fast HRM coupled multiplex real-time PCR with SYBR green approach offers rapid and sensitive detection of SARS-CoV-2 in a cost-effective manner apart from the added advantage of primer compatibility for use in conventional multiplex PCR. The highly reproducible novel approach can propel extended applicability for developing sustainable commercial product besides providing relief to a resource limited setting.

Public Transport Fleet Replacement Optimization Using Multi-Type Battery-Powered Electric Buses

2021 ◽  
pp. 036119812110271
Author(s):  
Chunyan Tang ◽  
Xiaoyu Li ◽  
Avishai (Avi) Ceder ◽  
Xiaokun Wang
Keyword(s):  
Real Life ◽  
Cost Effective ◽  
Single Type ◽  
High Price ◽  
Transit System ◽  
Significant Saving ◽  
Effective Manner ◽  
Fast Charging ◽  
Transit Agencies ◽  
Fleet Replacement

To achieve a green and sustainable public transit system, most transit agencies plan to completely replace current diesel and hybrid buses with battery-powered electric buses (EBs) in the decades ahead. Based on performances of EBs in practical operations, this study develops a transit fleet replacement model using multi-type EBs to determine an optimal fleet replacement plan in a cost-effective manner, considering associated diesel–electric replacement rates and in-vehicle crowd costs for passengers. Multi-type EBs include small EBs with fast charging technique, and large EBs with fast and slow charging techniques. The proposed model is applied to a real-life case study of the transit system in Qingdao, China. The results obtained indicate that large EBs with a high price tag are preferentially purchased in the first few years of the analysis period, whereas small EBs with a low price tag are favored in the latter years. The use of multi-type EBs results in a significant saving of the total cost, compared with the use of single-type EBs. Interestingly, with the increase of passenger demand, a large EB with a fast charging method presents more benefits than others. In contrast, a small EB has more advantages in a transit system with low demand.

Strategic planning in grassland farming: Principles andapplications

1997 ◽  
pp. 191-197
Author(s):  
W.J. Parker ◽  
N.M. Shadbolt ◽  
D.I. Gray
Keyword(s):  
Strategic Planning ◽  
Performance Indicators ◽  
Cost Effective ◽  
Key Performance Indicators ◽  
Strategic Plans ◽  
Effective Manner ◽  
Farm Business ◽  
Pastoral Farming ◽  
Financial Environment

Three levels of planning can be distinguished in grassland farming: strategic, tactical and operational. The purpose of strategic planning is to achieve a sustainable long-term fit of the farm business with its physical, social and financial environment. In pastoral farming, this essentially means developing plans that maximise and best match pasture growth with animal demand, while generating sufficient income to maintain or enhance farm resources and improvements, and attain personal and financial goals. Strategic plans relate to the whole farm business and are focused on the means to achieve future needs. They should be routinely (at least annually) reviewed and monitored for effectiveness through key performance indicators (e.g., Economic Farm Surplus) that enable progress toward goals to be measured in a timely and cost-effective manner. Failure to link strategy with control is likely to result in unfulfilled plans. Keywords: management, performance

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