Miracle-dz/UniFAR-FTUs huggingface dataset:
AI-Infused Electronic Shelf Labels: a Retail Game-Changer

In the rapidly evolving landscape of the retail industry, the integration of artificial intelligence (AI) in Electronic Shelf Labels (ESLs) has emerged as a transformative game-changer. This abstract provides an overview of the revolutionary impact of AI-infused ESLs on retail operations, customer engagement, and overall business efficiency. AI-infused ESLs combine the power of AI technologies, including machine learning, computer vision, and data analytics, with the practicality of electronic shelf labels to create a dynamic and responsive retail environment. This abstract explores the key advantages and diverse applications of AI-infused ESLs, emphasizing their potential to redefine the retail sector. Dynamic Pricing Strategies, Inventory Optimization, Personalized Customer Experiences, and Operational Efficiency This abstract also touches on the AI algorithms and technologies underpinning these innovations, such as computer vision for product recognition and natural language processing for enhanced customer interactions.This abstract provides a glimpse into the vast potential of AI-infused ESLs, shedding light on their role as a disruptive force, enhancing retail efficiency, and delivering a highly personalized and engaging shopping experience for consumers.
Evaluation of Aquifer Potentials for Irrigation Practice in Parts of the Basement Complex of North-Central Nigeria

A Geoelectric survey involving Vertical Electrical Sounding was carried out with the aim of using the results to delineate aquifer and assess its sustenance for adequate water supply for irrigation work in Fadama parts of some villages in Igabi Local Government Area, Kaduna state, Nigeria. The data were acquired with symmetric Schlumberger configuration at stations chosen across the study area. The acquired data were inverted with 1D Earth Imager iterative software. The interpreted results suggest four geoelectric layers. From their equivalent geologic/lithologic units, the weathered and the underlain fractured basement, which are characterized with relatively low resistivity values (14 to 217 �m), were considered as the aquiferous layers of the study area. Suitable sites for construction of pump-fitted wells were suggested based on thickness of the aquiferous layers. On assessment of the groundwater from estimated aquifer parameters, the well yield will serve the intended irrigation purpose.
PERSPECTIVES OF FRACTAL GEOMETRY IN GIS ANALYSES

Together with rapid development in GI science recent decades, the fractal geometry represents a powerful tool for various geographic analyses and studies. The paper shows usage of fractal geometry in two case studies. Studied areas are Olomouc region (approx. 804 km 2 ) and Olomouc city itself (100.000 inhabitants). First case study concerns urban growth of Olomouc city and refers about relationship between its area and perimeter. Fractal analyses showed that Olomouc is now approximately in the middle of its growth process and especially inner parts of the city are sufficient to be developed. Second case study pointed the land cover areas with extreme values of fractal dimension in Olomouc region. This led, together with consequent statistical analyses, to result that according to fractal dimension it is possible to distinguish (or at least to assume) the origin of areas. To achieve the results, various methods were employed. For fractal dimension calculation in the first case study, the box-counting method was used. General fractal calculation method was used in the second case study. Some statistical methods were also applied to test mean values of land cover areas fractal dimension (Student’s t-test and analysis of variance). Using non-integer, fractal dimension, one can analyze complexity of the shape, explore underlying geographic processes and analyze various geographic phenomena in a new and innovative way.
Comparison and Satellite Assessment of NASA/DAO and NCEP–NCAR Reanalyses over Tropical Ocean: Atmospheric Hydrology and Radiation

Abstract This study compares the atmospheric reanalyses that have been produced independently at the Data Assimilation Office (DAO) of Goddard Laboratory for Atmospheres and at the National Centers for Environmental Prediction (NCEP). These reanalyses were produced by using a frozen state-of-the-art version of the global data assimilation system developed at these two centers. For the period 1987–88 and for the tropical oceanic regions of 30°S–30°N, surface and atmospheric fields related to atmospheric hydrology and radiation are compared and assessed, wherever possible, with satellite data. Some common biases as well as discrepancies between the two independent reassimilation products are highlighted. Considering both annual averages and interannual variability (1987–88), discrepancies between DAO and NCEP reanalysis in water vapor, precipitation, and clear-sky longwave radiation at the top of the atmosphere are generally smaller than discrepancies that exist between corresponding satellite estimates. Am.
UvA-DARE (Digital Academic Repository) A cell-based mechanical model of coronary artery tunica media

A three-dimensional cell-based mechanical model of coronary artery tunica media is proposed. The model is composed of spherical cells forming a hexagonal close-packed lattice. Tissue anisotropy is taken into account by varying interaction forces with the direction of intercellular connection. Several cell-centre interaction potentials for repulsion and attraction are considered, including the Hertz contact model and its neo-Hookean extension, the Johnson–Kendall–Roberts model of adhesive contact, and a wormlike chain model. The model is validated against data from in vitro uni-axial tension tests performed on dissected strips of tunica media. The wormlike chain potential in combination with the neo-Hookean Hertz contact model produces stress–stretch curves which represent the experimental data very well.
Organic amendment under increasing agricultural intensification

The soil microbiome is a complex living network that plays essential roles in agricultural systems, regardless of the level of intensiﬁcation. However, the effects of agricultural management on the soil microbiome and the association with plant productivity remain largely unclear. Here, we studied the responses of three soil systems displaying distinct levels of agriculture intensiveness (i
The Effect of a Pain Educational Video Intervention upon Child Pain-Related Outcomes: a Randomized Controlled Study

SIGNIFICANCE: Examining the impact of pain educational interventions within a non-clinical setting is deemed particularly important given that adaptive pain coping strategies likely play an important role in preventing the development and maintenance of future maladaptive pain-related behavior. Further, study findings provide preliminary evidence of baseline and demographic (i.e., age and sex) characteristics explaining differences in the effect of a pain educational video intervention in pain knowledge and pain-related experiences during experimental pain.
University of Birmingham The effect of work-based mentoring on patient outcome in musculoskeletal physiotherapy

Background: Despite persistent calls to measure the effectiveness of educational interventions on patient outcomes, few studies have been conducted. Within musculoskeletal physiotherapy, the effects of postgraduate clinical mentoring on physiotherapist performance have been assessed, but the impact of this mentoring on patient outcomes remains unknown. The objective of this trial is to assess the effectiveness of a work-based mentoring programme to facilitate physiotherapist clinical reasoning on patient outcomes in musculoskeletal physiotherapy. Methods/Design: A stepped wedge cluster randomised controlled trial (CRCT) has been designed to recruit a minimum of 12 senior physiotherapists who work in musculoskeletal outpatient departments of a large National Health Service (NHS) organization. Participating physiotherapists will be randomised by cluster to receive the intervention at three time periods. Patients will be blinded to whether their physiotherapist has received the intervention. The primary outcome measure will be the Patient-Specific Functional Scale; secondary outcome measures will include the EQ-5D, patient activation, patient satisfaction and physiotherapist performance. Sample size considerations used published methods describing stepped wedge designs, conventional values of 0.80 for statistical power and 0.05 for statistical significance, and pragmatic groupings of 12 participating physiotherapists in three clusters. Based on an intergroup difference of 1.0 on the PSFS with a standard deviation of 2.0, 10 patients are required to complete outcome measures per physiotherapist, at time period 1 (prior to intervention roll-out) and at each of time periods 2, 3 and 4, giving a sample size of 480 patients. To account for the potential loss to follow-up of 33%, 720 sets of patient outcomes will be collected.
Choice-driven Service Network Design and Pricing in Intermodal Transport

Short summary In intermodal transport, Service Network Design (SND) problems cover most tactical decisions of a carrier. Nevertheless, among the literature on SND, very few works include pricing decisions and the preferences of the shippers. In this study, we contribute to the existing body of knowledge by proposing a choice-driven and cycle-based formulation of the Service Network Design and Pricing (SNDP) problem which considers different aspects of the mode choice decisions of shippers. This formulation aims at finding the itineraries, frequencies and prices of the services that will maximize the profit of an intermodal carrier. Moreover, the mode choice preferences of shippers are modeled as a utility maximization accounting not only for the logistics costs, but also the frequency of the offered services and the accessibility of the transport mode. This bi-level formulation can be reformulated into a single level linear problem. The proposed model is compared to two other models (one cycled-based and one path-based) where shippers are assumed to be purely cost minimizers. While the latter generate higher profits, they also result in unrealistic mode shares, with road transport being negligible. On the other hand, the proposed formulation leads to mode shares that are considerably closer to reality. In addition, higher revenues can be generated with a cycle-based formulation compared to a path-based as it allows for more consolidation opportunities for the carrier.
Farmer preference for macadamia varieties and constraints to production in Malawi

Macadamia nuts constitute a vital component of both nutrition and livelihoods for smallholder producers in Malawi. We conducted a comprehensive mixed-methods study, combining qualitative and quantitative analyses, to explore varietal preferences and production challenges among these farmers. Leveraging cross-sectional data from 144 members of the Highlands Macadamia Cooperative Union Limited, our study underscores several significant findings. Our findings reveal that the majority of smallholder macadamia farmers (62%) are aged over 50, with farming as their primary occupation. Varied preferences are driven by yield-related traits, including high yield potential (38%), nut quality (29%), and extended flowering patterns (15%). Among the macadamia varieties, the top five choices, grown by over half of the farmers, include HAES 660 (18%), 800 (10%), 791 (9%), 816 (8%), and 246 (7%). Additionally, our study identifies five primary constraints faced by smallholder macadamia farmers: insect pests (81%), diseases (34%), limited market access (33%), wind damage (25%), and inadequate agricultural advisory services (17%). Based on these findings, we propose two policy recommendations to enhance smallholder macadamia production and productivity in Malawi and other regions. Specifically, we advocate for informed breeding programs that align with farmer preferences to promote greater adoption of macadamia varieties. Additionally, we emphasize the crucial role of the Malawian government in the macadamia value chain, suggesting active participation in providing extension services and marketing support, akin to its support for other cash crops.
On the Quality of Privacy Policy Documents of Virtual Personal Assistant Applications

An app ecosystem built around virtual personal assistant (VPA) services becomes flourishing in recent years, fueled by the booming of the Internet of Things (IoT). A large number of functionality-rich VPA applications (or apps for short) have been released through app stores, and become easily-accessible by users through their smart speakers. In response to the increasingly stringent data protection regulations around the world, VPA service providers require app developers to include a privacy policy that declares their data handling practices. These privacy policies serve as the de facto agreement between developers and users, and may be taken as the basis in resolving conflicts in the event of a data breach. Therefore, it is essential that privacy policy documents are crafted in a clear, easy-to-understand, and unambiguous way. In this work, we conduct the first systematic study on the quality of privacy policies in the VPA app domain. Based on our review of literature and documents from standard working groups, we identify four metrics that enable the quality of the privacy policy to become measurable, including timeliness, availability, completeness and readability. We then develop QuPer, which extracts the meta features (e.g., update history) and linguistic features (e.g., sentence semantics) from privacy policies, and assesses their quality. Our analysis reveals that the status of the quality of privacy policies in the VPA app domain is concerning. For instance, only 1.17% of privacy policies completely cover all contents that are regarded as privacy concerns by legislation (e.g., GDPR article 13) and relevant literature. Our findings are expected to raise an alert among the VPA app developers and provide them with guidelines for creating high-quality privacy policy documents. We also encourage app store operators to implement a vetting process that ensures the quality of privacy policies before apps are released to the public.
Review of Research of Forcing Data for Regional Scale Hydrological Model

Hydrometeological forcing data with high spatio-temperal resolution,such as wind,temperature,pressure,humidity,radiation,precipitation,is needed for driving regional-scale and watershed-scale hydrological,ecological,land models or data simulations system.In this paper,the importance of regional-scal and watershed-scale forcing data is clarified;methods of producing forcing data,such as interpolation based on observation data,reanalysis data,dynamical downscaling method,statistical downscaling method and multi-source information fusion method,are described in detail;some cases about precipitation,radiation,temperature and other variables are given;some case studies on producing forcing data for land data assimilation systems are introduced,such as Global Land Data Assimilation System(GLDAS),European Land Data Assimilation System to predict Floods and Droughts(ELDAS),North American Land Data Assimilation System(NLDAS),Chinese Land Data Assimilation System(CLDAS) and Land Information System(LIS). Finally,existing problems of producing high spatio-temperal forcing data for regional-scale and watershed-scale hydrological,ecological,land models or data simulations system are pointed out in detail,and four proposals are put forward: ①it is difficult to satisfy all forcing variables by one simple method;②it is urgent to provide proper land surface initial condition for dynamical downscaling model;③it is a major method to combine with Doppler radar data,drop size meter and rain gauge observations to improve the accuracy of rainfall;④it is a trend to input remote sensing images into dynamical downscaling model by data assimilation method to generate high spatio-temperal forcing data.Some ideas on preparing forcing data for land surface model of Western China are proposed.
Sediment discharge in Muddy Creek and the effect of sedimentation rate on the proposed Wolford Mountain reservoir near Kremmling, Colorado

Stream-discharge data collected from May 1982 through October 1985 and sediment data collected from March 1985 through October 1985 at streamflowgaging station 09041500 Muddy Creek at Kremmling, Colorado, were used to determine total-sediment discharge into the proposed Wolford Mountain Reservoir. The data were divided on a seasonal basis, and statistical relations between suspended-sediment discharge and stream discharge were determined for the rising stage, falling stage, and base-flow period. One statistical relation between bedload discharge and stream discharge was determined from all collected data. These relations were used with 3 years of daily streamdischarge data to estimate total-sediment discharge. Total-sediment discharge was largest prior to the annual peak stream discharge and decreased thereafter. At least 97 percent of the total-sediment discharge was suspended sediment. Mean annual total-sediment discharge in Muddy Creek near Kremmling was estimated to be 83,000 tons per year for 1983 through 1985 water years. At this rate of mean annual total-sediment discharge, water-storage capacity of the proposed Wolford Mountain Reservoir at site C would decrease 10 percent after 100 years.
MODELLING OF DAILY TEMPERATURE OF SOKOTO TOWN USING BOX-JENKINS PROCEDURE

This paper aims to model the daily temperature of Sokoto town in North western Nigeria using the Box-st rd Jenkins methodology. Daily temperature for the period 1 January 2009-3 August, 2013 was used. The empirical study reveals that the most adequate model for the daily temperature of Sokoto town for the period under study is ARIMA (3, 1, 1). Using the model, we forecast the values of daily temperature for the
Patient Satisfaction with Care as Managed by the Physician Associate or the Doctor as Part of a Pilot Project in Ireland

Objective: The objective of this study was to examine if patients, visiting a hospital outpatient’s clinic, were satisfied about the care delivered when a PA instead of a doctor is the provider. Methods: The study methodology was a descriptive quantitative approach using an eight-item survey and an option to include free text comments. Results: There was no difference in satisfaction levels between consultations with doctors or PAs, as part of a pilot project introducing the PA role. Conclusions: In Ireland, patients are just as satisfied with the care they received from PAs and doctors. Findings are consistent with findings in other countries where the PA role is embedded. In meeting the patient's needs, an important aspect of care given by both doctor and PA seems to be keeping the patient informed and behaving in a professional manner.
The Role of Community-Based Organizations in Improving Chronic Care for Safety-Net Populations

Introduction: Social determinants of health (SDoH) influence health outcomes and contribute to disparities in chronic disease in vulnerable populations. To inform health system strategies to address SDoH, we conducted a multi-stakeholder qualitative study to capture the multi-level influences on health for those living in socio-economically deprived contexts. Methods: Varied qualitative inquiry methods – in-depth interviews, participant-led neighborhood tours, and clinic visit observations – involving a total of 23 participants (10 patients with chronic illnesses in San Francisco neighborhoods with high chronic disease rates, 10 community leaders serving the same neighborhoods, and 3 providers from San Francisco's public health care delivery system). Qualitative analyses were guided by the Chronic Care Model (CCM). Results: Several key themes emerged from this study. First, we enumerated a large array, neighborhood resources such as food pantries, parks/green spaces, and financial assistance services that interact with patients' self-management. Health service providers leveraged these resources to address patients' social needs but suggested a clear need for expanding this work. Second, analyses uncovered multiple essential mechanisms by which community-based organizations (CBOs) provided and navigated among many neighborhood health resources, including social support and culturally aligned knowledge. Finally, many examples of how structural issues such as institutional racism, transportation, and housing inequities are intertwined with health and social service delivery were elucidated. Conclusion: The results contribute new evidence toward the community domain of the CCM. Health care systems must intentionally partner with CBOs to address SDoH and improve community resources for chronic care management, and directly address structural issues to make progress.
Edinburgh Research Explorer Protocol

The increasing popularity of systems-based approaches to plant research has resulted in a demand for high throughput (HTP) methods to be developed. RNA extraction from multiple samples in an experiment is a significant bottleneck in performing systems-level genomic studies. Therefore we have established a high throughput method of RNA extraction from Arabidopsis thaliana to facilitate gene expression studies in this widely used plant model. We present optimised manual and automated protocols for the extraction of total RNA from 9-day-old Arabidopsis seedlings in a 96 well plate format using silica membrane-based methodology. Consistent and reproducible yields of high quality RNA are isolated averaging 8.9 μ g total RNA per sample (~20 mg plant tissue). The purified RNA is suitable for subsequent qPCR analysis of the expression of over 500 genes in triplicate from each sample. Using the automated procedure, 192 samples (2 × 96 well plates) can easily be fully processed (samples homogenised, RNA purified and quantified) in less than half a day. Additionally we demonstrate that plant samples can be stored in RNA later at -20°C (but not 4°C) for 10 months prior to extraction with no significant effect on RNA yield or quality. Additionally, disrupted samples can be stored in the lysis buffer at -20°C for at least 6 months prior to completion of the extraction procedure providing a flexible sampling and storage scheme to facilitate complex time series experiments.
Is the SPI sufficient for monitoring meteorological droughts in extreme costal climates of Iran

In this paper, two meteorological drought indices including the standardized precipitation index (SPI) which is only based on precipitation, and the reconnaissance drought index (RDI), which is based on precipitation and potential evapotranspiration, were calculated and compared in the eight costal stations of Iran. Five stations were chosen from very wet climate (located on the Caspian Sea coast) and three stations from very dry climate (located on the Persian Gulf coast). The results showed that there are very significant correlations (greater than 0.9) between SPI and RDI in all stations of interest. Also, the statistical test of t-student was applied on relationships of the SPI values vs. the RDI values, revealing both indices values have no significant differences at the 5% level. It is concluded that the SPI is enough to monitor meteorological drought severity in extreme costal climates of Iran.
A QC H ANALY TICAL AND QUANTITATIVECYTOPATHOLOGY AND HISTOPATHOLOGY

This review gives an update on selected issues on renal neoplasia with special references to emerging new tumor entities (thyroid-like follicular renal cell carcinoma, succinic dehydrogenase B deficiency–associated renal cell carcinoma, and anaplastic lymphoma kinase [ALK] translocation renal cell carcinoma), tumor grading (the International Society of Urological Pathology grading system), and assessment of tumoral involvement of the renal sinus structures, including the sinus fat, the loose connective tissue, or any sinus-based endothelium-lined space. (Anal Quant Cytopathol Histopathol 2014;36: 1–8)