A Multiple Source based Transfer Learning Framework for Marketing Campaigns

© 2018 IEEE. The rapid growing number of marketing campaigns demands an efficient learning model to identify prospective customers to target. Transfer learning is widely considered as a major way to improve the learning performance by using the generated knowledge from previous learning tasks. Most recent studies focused on transferring knowledge from source domains to target domains which may result in knowledge missing. To avoid this, we proposed a multiple source based transfer learning framework to do it reversely. The data in target domains is transferred into source domains by normalizing them into the same distributions and then improving the learning task in target domains by its generated knowledge in source domains. The proposed method is general and can deal with supervised and unsupervised inductive and transductive learning simultaneously with a compatibility to work with different machine learning models. The experiments on real-world campaign data demonstrate the performance of the proposed method

Preferential Paths of Air-water Two-phase Flow in Porous Structures with Special Consideration of Channel Thickness Effects.

Accurate understanding and predicting the flow paths of immiscible two-phase flow in rocky porous structures are of critical importance for the evaluation of oil or gas recovery and prediction of rock slides caused by gas-liquid flow. A 2D phase field model was established for compressible air-water two-phase flow in heterogenous porous structures. The dynamic characteristics of air-water two-phase interface and preferential paths in porous structures were simulated. The factors affecting the path selection of two-phase flow in porous structures were analyzed. Transparent physical models of complex porous structures were prepared using 3D printing technology. Tracer dye was used to visually observe the flow characteristics and path selection in air-water two-phase displacement experiments. The experimental observations agree with the numerical results used to validate the accuracy of phase field model. The effects of channel thickness on the air-water two-phase flow behavior and paths in porous structures were also analyzed. The results indicate that thick channels can induce secondary air flow paths due to the increase in flow resistance; consequently, the flow distribution is different from that in narrow channels. This study provides a new reference for quantitatively analyzing multi-phase flow and predicting the preferential paths of immiscible fluids in porous structures

Optofluidic waveguide as a transformation optics device for lightwave bending and manipulation

Author name used in this publication: Zhang X. M.2011-2012 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Integrated geospatial approach for adaptive rainwater harvesting site selection under the impact of climate change

The impact of global climate change on water resources is a pressing concern, particularly in arid and semi-arid regions, where water shortages are becoming increasingly severe. Rainwater harvesting (RWH) offers a promising solution to address these challenges. However, the process of selecting suitable RWH sites is complex. This paper introduces a comprehensive methodology that leverages various technologies and data sources to identify suitable RWH locations in the northern region of Iraq, considering both historical and future scenarios. The study employs remote sensing and geographic information systems to collect and process geospatial data, which are essential for the site selection process. AHP is utilized as a decision-making tool to assess and rank potential RWH locations based on multiple criteria, helping to prioritize the most suitable sites. The WLC approach is used to combine and weigh various factors, enabling a systematic evaluation of site suitability. To account for the uncertainty associated with future climate conditions, a stochastic weather generator is employed to simulate historical and future precipitation data for period (1980–2022) and (2031–2100). This ensures that the assessment considers changing climate patterns. Historical precipitation values ranged from 270 to 490 mm, while future projections indicate a decrease, with values varying from 255 to 390 mm. This suggests a potential reduction in available water resources due to climate change. The runoff for historical rainfall values ranged from 190 mm (poor) to 490 mm (very good). In the future projections, runoff values vary from 180 mm (very poor) to 390 mm (good). This analysis highlights the potential impact of reduced precipitation on water availability. There is a strong correlation between rainfall and runoff, with values of 95% for historical data and 98.83% for future projections. This indicates that changes in precipitation directly affect water runoff. The study incorporates several criteria in the model, including soil texture, historical and future rainfall data, land use/cover, slope, and drainage density. These criteria were selected based on the nature of the study region and dataset availability. The suitability zones are classified into four categories for both historical potential and future projections of RWH zones: very high suitability, covering approximately 8.2%. High suitability, encompassing around 22.6%. Moderate suitability, constituting about 37.4%. Low suitability, accounting for 31.8% of the study region. For the potential zones of RWH in the future projection, the distribution is as follows: very high suitability, approximately 6.1%. High suitability, around 18.3%. Moderate suitability, roughly 31.2%. Low suitability, making up about 44.4% of the study region. The research's findings have significant implications for sustainable water resource management in the northern region of Iraq. As climate change exacerbates water scarcity, identifying suitable RWH locations becomes crucial for ensuring water availability. This methodology, incorporating advanced technology and data sources, provides a valuable tool for addressing these challenges and enhancing the future of water management to face of climate change. However, more investigations and studies need to be conducted in near future in the study region

Usefulness and practicality of a multidisease screening programme targeting migrant patients in primary care in Spain: a qualitative study of general practitioners.

OBJECTIVES: Some migrant groups are disproportionately affected by key infectious diseases in European countries. These pose a challenge for healthcare systems providing care to these groups. We aimed to explore the views of general practitioners (GPs) on the acceptability, adaptability and feasibility of a multidisease screening programme based on an innovative clinical decision-support system for migrants (the ISMiHealth tool), by examining the current gaps in healthcare provision and areas of good practice and the usefulness and limitations of training in the health needs of migrants. METHODS: We undertook a qualitative descriptive study and carried out a series of focus groups (FGs) taking a pragmatic utilitarian approach. Participants were GPs from the four primary healthcare (PHC) centres in Catalonia, Spain, that piloted an intervention of the ISMiHealth tool. GPs were recruited using purposive and convenience sampling. FG discussions were transcribed and analysed using thematic content analysis. RESULTS: A total of 29 GPs participated in four FGs. Key themes identified were: (1) GPs found the ISMiHealth tool to be very useful for helping to identify specific health problems in migrants, although there are several additional barriers to screening as part of PHC, (2) the importance of considering cultural perspectives when caring for migrants, and of the impact of migration on mental health, (3) the important role of PHC in healthcare provision for migrants and (4) key proposals to improve screening of migrant populations. GPs also highlighted the urgent need, to shift to a more holistic and adequately resourced approach to healthcare in PHC. CONCLUSIONS: GPs supported a multidisease screening programme for migrant populations using the ISMiHealth tool, which aided clinical decision-making. However, intercultural participatory approaches will need to be adopted to address linguistic and cultural barriers to healthcare access that exist in migrant communities

Deep seabed mining: A note on some potentials and risks to the sustainable mineral extraction from the oceans

The rapidly increasing global populations and socio-economic development in the Global South have resulted in rising demand for natural resources. There are many plans for harvesting natural resources from the ocean floor, especially rare metals and minerals. However, if proper care is not taken, there is substantial potential for long-lasting and even irreversible physical and environmental impacts on the deep-sea ecosystems, including on biodiversity and ecosystem functioning. This paper reviews the literature on some potentials and risks to deep seabed mining (DSM), outlining its legal aspects and environmental impacts. It presents two case studies that describe the environmental risks related to this exploitative process. They include significant disturbance of the seabed, light and noise pollution, the creation of plumes, and negative impacts on the surface, benthic, and meso-and bathypelagic zones. The study suggests some of the issues interested companies should consider in preventing the potential physical and environmental damages DSM may cause. Sustainable mining and the use of minerals are vital in meeting various industrial demands

The Incidence of Common Respiratory Viruses During the COVID-19 Pandemic: Results From the Louisville COVID-19 Epidemiology Study

Introduction: Social distancing has been utilized during the COVID-19 pandemic to reduce the spread of SARS-CoV-2, which is also expected to reduce the spread of common respiratory viruses. Methods: This retrospective, descriptive study assessed the rate of positivity of common respiratory viruses from commercially available respiratory pathogen panel, across a five-hospital health-system, during four-week periods within March to April of 2019 and 2020. Results: During the four-week period in 2019, the percent positivity of common respiratory viruses from week one to week four decreased from 6 to 32% among the four included viruses. In the comparator period in 2020, a decrease ranging from 74 to 100% was observed from week one to week four. Conclusions: These data indicate that the social distancing efforts implemented in Louisville, Kentucky, may be associated with a decrease in incidence of common respiratory viruses. This decrease in positivity of common respiratory viruses may serve as a surrogate marker for the effect of social distancing on the transmission of SARS-CoV-2

Diabetic Neuropathy and Axon Reflex-Mediated Neurogenic Vasodilatation in Type 1 Diabetes

Objective: Axon reflex-mediated neurogenic vasodilatation in response to cutaneous heating may reflect early, pre-clinical small fibre dysfunction. We aimed to evaluate the distribution of the vascular flare area measured by laser doppler imaging (‘‘LDI FLARE area’’) in type 1 diabetes and in healthy volunteers. Research and Methods: Concurrent with clinical and electrophysiological examination to classify diabetic sensorimotor polyneuropathy (DSP), LDIFLARE area (cm 2) was determined in 89 type 1 diabetes subjects matched to 64 healthy volunteers. We examined the association and diagnostic performance of LDI with clinical and subclinical measures of DSP and its severity. Results: Compared to the 64 healthy volunteers, the 56 diabetes controls without DSP had significantly lower LDIFLARE area (p = 0.006). The 33 diabetes cases with DSP had substantially lower LDIFLARE area as compared to controls without DSP (p = 0.002). There was considerable overlap in LDIFLARE area between all groups such that the ROC curve had an AUC of 0.72 and optimal sensitivity of 70 % for the detection of clinical DSP. Use of a subclinical definition for DSP, according to subclinical sural nerve impairment, was associated with improved AUC of 0.75 and sensitivity of 79%. In multivariate analysis higher HbA1c and body mass index had independent associations with smaller LDIFLARE area. Conclusions: Axon reflex-mediated neurogenic vasodilatation in response to cutaneous heating is a biomarker of earl