Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybrid filtering and semantic sentiment analysis by deep learning for recommendation systems

— Faced with the ever-increasing complexity, volume and dynamism of online information, recommendation systems are among the solutions that anticipate the needs of users and offer them items (articles, products, web pages, etc.) that they are likely to appreciate. Unlike traditional recommendation models, deep learning offers a better understanding of user requests, objects features, historical interactions between them and can process massive amounts of data. In this work, we realize two recommendation systems. The first one is based on MLP deep neural network adapted to data already defined by their features. In addition to the use of deep learning, we offer a new hybrid recommendation solution between the demographic approach and the content-based approach in order to eliminate the limits of each and to combine their strengths, through a deep neural network adapted for massive data. Experimentation with our approach has produced good results in terms of accuracy and speed, whether through the use of deep learning or the hybridization of content-based and demographic filtering, which is a particular type of collaborative filtering. The second system is based on semantic sentiment analysis through the use of LSTM deep neural network for sentiment analysis and topic modeling with LDA for semantic analysis. Semantic analysis is used to study the meaning of a text, whereas sentiment analysis represents its emotional value. The precision of the obtained results allows relevant recommendations and the integration of the two systems allows multi-faceted exploitation of the data and consequently offers a new, complete and promising approach for recommendation systems.
A Genome-Wide Association Search for Type 2 Diabetes Genes in African Americans

Background: A validated instrument to assess the effects of chronic cough on health status in patients with chronic obstructive pulmonary disease (COPD) is currently not available. The Leicester Cough Questionnaire (LCQ) is a cough-specific health status questionnaire which is originally validated for a population of general patients presenting with chronic cough. We examined the psychometric performance of the LCQ in patients with COPD and chronic productive cough. Methods: Concurrent validity, internal consistency, reproducibility and responsiveness were determined. The St. George’s Respiratory Questionnaire (SGRQ) and the Short Form-36 (SF-36) were used as external criteria. Questionnaires were completed at the start of the study. After 2 and 12 weeks the LCQ was repeated, together with a global rating of change. Results: In total 54 patients were included. Concurrent validity analysis showed significant correlations between corresponding domains of the LCQ and the SGRQ (rs -0.31 to -0.60). Corresponding domains of the LCQ and the SF-36 showed weaker correlations (rs 0.04 to 0.41). Internal consistency was adequate for two of the three domains (Cronbach’s a 0.74 0.86). Test-retest reliability in stable patients was high (intraclass correlation coefficients 0.79 0.93). The mean difference after two weeks was 0.73 (± 1.75). Responsiveness analysis indicated that the LCQ was able to detect changes after 12 weeks. Conclusion: The LCQ is a valid, reliable, responsive instrument to measure health status in COPD patients with chronic productive cough. Trial Registration: ClinicalTrials.gov: NCT01071161
Grass clover intake and e ﬀ ects of reduced dietary protein for organic sows during summer

Energy spent on thermoregulation and locomotive activity may increase the energy requirements of outdoor relative to indoor housed sows, whilst their protein requirement most likely is comparable on a daily basis but lower per kg of feed. The purpose of this study was to quantify the energy and protein intake from compound feed and grazing and the energy and protein needed for maintenance, maternal retention, milk production, thermoregulation and locomotive activity in organic sows during summer, to understand how nutrition of organic sows could be improved. A total of 41 2 nd parity sows (Landrace x Yorkshire; 239 kg at insemination) were reared outdoor under organic conditions for six months. Sows were fed one of two iso-energetic diets, either commercial available gestation and lactation diets (control strategy)
The Economic Consequences of a War in Iraq

Much has been written about the national-security aspects of a potential conflict with Iraq, but there are no studies of the cost. A review of several past wars indicates that nations historically have consistently underestimated the cost of military conflicts. This study reviews the potential costs of a conflict including the postwar expenses that might be required for occupation, humanitarian assistance, reconstruction, nation-building along with the implications for oil markets and macroeconomic activity. It considers two potential scenarios that span the potential outcomes, ranging from a short and relatively conflict-free case to protracted conflict with difficult and expensive postwar reconstruction and occupation. The estimates of the cost to the United States over the decade following hostilities range from $100 billion to $1.9 trillion.
BIOMECHANICAL COMPARISON OF RUNNING IN LAND AND WATER MEDIA

The purpose of this study was to investigate the effects of media on running performance at various training intensities, The comparisons were based upon Borg Rate of Perceived Exertion (RPE). The treadmill was used for the land condition while running in the deep water was performed with use of a buoyant device located above the W. Two subjects, both skilled swimmers and runners, who had a good understanding of RPE were tested. Evaluation of joint angles involved sagittal and rear view video with the former reported here. The joints evaluated included the shoulder elbow, wrist, hip, knee, and ankle. Heart rate was monitored for evaluation of intensities and immersion effects with a Polar Accurex monitor. Five trials were performed and videotaped in both suspended deep water and land conditions at 13 and 18/19 WE. Data were manually digitized using the Arid Performance Analysis System for both land and water at 60 and 30 Hz respectively. The 30 Hz data were interpolated to 60 Hz and smoothed using a ninth order polynomial and derivatives were calculated. Within subjects statistical procedures (p<0.05) were performed. Results identified significant differences between media conditions for both subjects. In the water, 18 RPE had a higher percentage of significant changes across joints (89%) thin 13 RPE. Joint Range of Motion (ROM), minimum, and maximum values produced 83.03. a d 100% significant differences across subjects for 18 RPE. Similar comparative values for 13 RPE in the water were 83.67. and 83%,respcctively, In contrast, 13 RPE on land had a higher percentage of significant changes across joints (83%) than 18 RPE. The greatest changes we observed between land and water (83%) at 18 RPE. Results suggest that when a subject attempts to increase RPE in the warter they increase the ROM in the upper extremity joints. Perhaps the lower extremities ROM did not increase in water due to use of the buoyant device, which increased resistance at the lower extremities making running more difficult. The water media clearly magnifies individual differences (13 RPE = 78% and 1 R RPR = 89%). These differences were further magnified with an increase in RPE, suggesting that water may be used as a diagnostic tool.
. Body muscle gain and markers of cardiovascular disease susceptibility in young adulthood: A cohort study. PLoS Medicine

Background The potential benefits of gaining body muscle for cardiovascular disease (CVD) susceptibility, and how these compare with the potential harms of gaining body fat, are unknown. We compared associations of early life changes in body lean mass and handgrip strength versus body fat mass with atherogenic traits measured in young adulthood.
: A Decision-Making Tool for Green ICT

—The environmental impact of ICT represents an increasing concern for modern society. Despite that, we still witness a lack of awareness from the ICT industry regarding their carbon footprint. In particular, practitioners lack knowledge and tools to perform informed decision-making in the area of Green ICT. Moreover, best practices for Green ICT are usually conceived and applied in-house. This prevents them from being generalized and shared with the community. In this paper, we present a web-based tool that tackles both needs: on one hand, the tool enables practitioners (i.e. agents ) to browse a number of Green ICT solutions and calculate their estimated impact if applied to their organization, through customized parameters. On the other hand, the tool also provides a creation interface for contributors who want to generalize and share their own Green ICT practices. In addition, we foresee that the data generated by the usage of the tool will provide useful insights and trends regarding the adoption of Green ICT and its effectiveness on reducing CO 2 emissions.
Influence of Financial Resources on Competitive Advantage of Women Owned Enterprises in Northern Nigeria

he aim of this study is to customize the resource T based view (RBV) of the firm to examine the influence of financial resources on competitive advantage of women owned enterprises in Northern Nigeria. The study adopted quantitative research methodology and used cross-sectional survey method to collect data from 342 respondents out of which 234 were used for the analysis. The hypothesized path was examined with the use of Partial Least Squares Structural Equation Modeling (PLS-SEM). The result reveals that financial resources have a significant positive influence on competitive advantage of women owned enterprises. The study has contributed to knowledge by extending the RBV of the firm to the study of women-owned micro and small businesses in Northern Nigeria. The study also provides practical implication for women enterprise owners and policy makers as it showcases the positive influence of financial resources on competitive advantage of women owned enterprises. The study recommends that women enterprise owners should improve their financial resource base by utilizing internal and external sources of financing. Suggestion for future research is made on the bases of the limitation of the study.
Effect of Electricity Tariff on the Performance of Small – Medium Enterprises in North Central Nigeria

lectricity prices generally reflect the cost to build, E finance, maintain, and operate power plants and the electricity grid. Accordingly, electricity tariffs vary by type of customer, typically by residential, commercial, and industrial connections so as to supply steady power to consumers. The study assessed the effect of electricity tariff on the performance of small and medium scale enterprises in North Central, Nigeria. The study covered 5 years (2014 to 2018). With these, a lot of attention has been giving to electricity tariff to help SMEs perform better, yet SMEs are not performing well in the North Central. The study adopted a survey research design. The population of small and medium enterprises (SMEs) in this study is 9586 in North Central Nigeria, and it was reduced using the Taro Yamane's formula to determine the sample size of 384owners of SMEs in North Central, Nigeria. The method of data collection used in this study was a questionnaire that was administered to the respondents. The statistical tools used were multiple regression. The findings revealed that electricity tariff has a positive and significant effect on the performance of SMEs in North Central, Nigeria. Other findings were that two-part tariff has a positive and significant effect on the performance of SMEs in North Central, Nigeria. Also, power factor tariff has a positive and significant effect on the performance of SMEs in North Central, Nigeria. The study recommended that SMEs in North Central, Nigeria should continue to request for the electricity tariff in the forms of fixed and running charges. They should continue to pay their electricity tariff since it significant in affecting performance of SMEs in North Central, Nigeria. SMEs in North Central, Nigeria should continue to use power factor tariff since it contributes to performance of SMEs in North Central, Nigeria. They should ensure that they pay for electricity tariff to generate more profit.
DIFFERENTIAL SAR INTERFEROMETRIC TECHNIQUE FOR LAND SUBSIDENCE MONITORING DUE TO GROUNDWATER OVER-EXPLOITATION IN THE HASHTGERD

Hashtgerd city located 68 km west of Tehran city (Figure 1). In the recent years progressive subsidence in the area, due to over-exploitation of ground water, has been recognized. National Cartographic Center of Iran (NCC) has monitored subsidence in the study area but in this research the extent and pattern of the subsidence via InSAR technique has been detected and mapped. The subsidence obviously occurred in the cultivated lands. 21 interferograms have been processed using 22 ENVISAT ASAR SLC images obtained from track 149. 10 interferograms spanning water-year 2003-2004
VU Research Portal Adapting a blended motivational interviewing and problem-solving intervention to address risky substance use amongst South Africans

The purpose of this study was to examine the acceptability and initial substance use outcomes of a blended motivational interviewing (MI) and problem-solving therapy (PST) intervention, delivered by peer counsellors. Twenty people who scored at risk for substance use according to the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) received a five session blended MI-PST intervention and were assessed at baseline and at three months. An open-ended semi-structured interview, designed to identify possible factors that may hinder or promote the acceptability of the intervention was also conducted. Fifteen participants completed the intervention and the three-month follow-up. According to ASSIST scores, participants significantly reduced their substance use ( p > 0.001) at the three-month follow-up. Randomized controlled trials are needed to evaluate the effect of this intervention more rigorously.
The Bioinformatics Analysis of Aldosterone-Producing Adenoma and Veri�cation of Differentially Expressed Genes

Background Previous studies have investigated the transcriptional modulations of aldosterone overproduction of aldosterone-producing adenomas (APAs), and several potential genes were found with high expressions. Purpose We aimed to systematically study the genes and pathways associated with molecular mechanism underlying APA by bioinformatics analysis and experimental validation for the expression pro�le. This study was performed based on three gene expression pro�les (GSE64957, GSE8514, and GSE60042). Differentially expressed gene (DEG) investigation, function and pathway enrichment, as well as protein-protein interaction (PPI) network, were performed by the bioinformatics analysis. For the validation with quantitative PCR, tissues from 11 patients with non-functioning adrenal adenoma (NFA) and 13 with APA were included in our cohort. And the DEGs were enriched in aldosterone synthesis and secretion and calcium signaling pathway as expected.
Dimensionless argument: a narrow grain size range near 2 mm plays a special role in river sediment transport and morphodynamics

Abstract. The grain size 2 mm is the conventional border between sand and gravel. This size is used extensively, and generally without much physical justification, to discriminate between such features as sedimentary deposit type (clast-supported versus matrix-supported), river type (gravel bed versus sand bed), and sediment transport relation (gravel versus sand). Here we inquire as to whether this 2 mm boundary is simply a social construct upon which the research community has decided to agree or whether there is some underlying physics. We use dimensionless arguments to show the following for typical conditions on Earth, i.e., natural clasts (e.g., granitic or limestone) in 20 ∘C water. As grain size ranges from 1 to 5 mm (a narrow band including 2 mm), sediment suspension becomes vanishingly small at normal flood conditions in alluvial rivers. We refer to this range as pea gravel. We further show that bedload movement of a clast in the pea gravel range with, for example, a size of 4 mm moving over a bed of 0.4 mm particles has an enhanced relative mobility compared to a clast with a size of 40 mm moving over a bed of the same 4 mm particles. With this in mind, we use 2 mm here as shorthand for the narrow pea gravel range of 1–5 mm over which transport behavior is distinct from both coarser and finer material. The use of viscosity allows the delineation of a generalized dimensionless bed grain size discriminator between “sand-like” and “gravel-like” rivers. The discriminator is applicable to sediment transport on Titan (ice clasts in flowing methane/ethane liquid at reduced gravity) and Mars (mafic clasts in flowing water at reduced gravity), as well as Earth.
The Effect of Apparatus Behavior and Community Participation on Pamsimas Policy Implementation in North Gorontalo Regency

The PAMSIMAS (Provision of Community-Based Drinking Water and Sanitation) program in North Gorontalo Regency has not been maximally successful, as evidenced by the difficulty in accessing drinking water and sanitation facilities due to the location and placement of facilities far from settlements. The formulation of the research problem is whether there is an influence on the behavior of the apparatus, either directly or indirectly through community participation on the implementation of the Pamsimas policy. This study uses a quantitative approach with the ex-post facto method. The data analysis technique used Structural Equation Model based on Partial Least Square (SEM-PLS). The results showed that the behavior of the apparatus had a positive effect of 81.80% and was very significant on community participation in the implementation of the Pamsimas policy. Based on the conclusion of the study, it is hoped that the Government of North Gorontalo Regency can develop capacity through innovative activities so as to create clean and accountable, effective and efficient apparatuses, and be able to provide quality services.
Sources of Hallucination by Large Language Models on Inference Tasks Anonymous EMNLP

Large Language Models (LLMs) are claimed 001 to be capable of Natural Language Inference 002 (NLI), necessary for applied tasks like question 003 answering and summarization. We present a 004 series of behavioral studies on several LLM 005 families (LLaMA, GPT-3.5, and Anonymous 006 LLM 1 ) which probe their behavior using con-007 trolled experiments. We establish two bi-008 ases originating from pretraining which predict 009 much of their behavior, and show that these 010 are major sources of hallucination in generative 011 LLMs. First, memorization at the level of sen-012 tences: we show that, regardless of the premise, 013 models falsely label NLI test samples as entail-014 ing when the hypothesis is attested in training 015 data, and that entities are used as “indices” to 016 access the memorized data. Second, statistical 017 patterns of usage learned at the level of cor-018 pora: we further show a similar effect when the 019 premise predicate is less frequent than that of 020 the hypothesis in the training data, a bias fol-021 lowing from previous studies. We demonstrate 022 that LLMs perform significantly worse on NLI 023 test samples which do not conform to these bi-024 ases than those which do, and we offer these as 025 valuable controls for future LLM evaluation. 2 026
Impact of Urban Planning on Household Poverty Reduction in Uganda: A Review

The study analyzed the impact of urban planning on reducing household poverty in Uganda. It found that both negative and positive factors significantly influence household poverty. The study also identified five key factors that contribute to household poverty: social services, research and development, employment, and investment. The findings suggest that urban planners should align their policies with government policies when allocating resources to reduce poverty caused by unplanned urbanization. The study recommends that urban planners work to improve the quality of life for households in Uganda. Keywords: Household poverty, urban population growth, urban planning, Urban Sprawl, Government intervention
Genome-Wide Association Study of Bone Mineral Density in Korean Men

Osteoporosis is a medical condition of global concern, with increasing incidence in both sexes. Bone mineral density (BMD), a highly heritable trait, has been proven a useful diagnostic factor in predicting fracture. Because medical information is lacking about male osteoporotic genetics, we conducted a genome-wide association study of BMD in Korean men. With 1,176 participants, we analyzed 4,414,664 single nucleotide polymorphisms (SNPs) after genomic imputation, and identified five SNPs and three loci correlated with bone density and strength. Multivariate linear regression models were applied to adjust for age and body mass index interference. Rs17124500 (p = 6.42 × 10-7), rs34594869 (p = 6.53 × 10-7) and rs17124504 (p = 6.53 × 10-7) in 14q31.3 and rs140155614 (p = 8.64 × 10-7) in 15q25.1 were significantly associated with lumbar spine BMD (LS-BMD), while rs111822233 (p = 6.35 × 10-7) was linked with the femur total BMD (FT-BMD). Additionally, we analyzed the relationship between BMD and five genes previously identified in Korean men. Rs61382873 (p = 0.0009) in LRP5, rs9567003 (p = 0.0033) in TNFSF11 and rs9935828 (p = 0.0248) in FOXL1 were observed for LS-BMD. Furthermore, rs33997547 (p = 0.0057) in ZBTB and rs1664496 (p = 0.0012) in MEF2C were found to influence FT-BMD and rs61769193 (p = 0.0114) in ZBTB to influence femur neck BMD. We identified five SNPs and three genomic regions, associated with BMD. The significance of our results lies in the discovery of new loci, while also affirming a previously significant locus, as potential osteoporotic factors in the Korean male population.
Data-driven Prioritization Strategies for Inventory Rebalancing in Bike-sharing systems

The popularity of bike-sharing systems has constantly increased throughout the last years, given their convenience for users, low usage costs, health benefits and at their contribution to environmental relief. However, satisfying all user demands remains a challenge, given that the inventory of bike-sharing stations tends to be unbalanced over time. Bike-sharing system operators therefore explicitly rebalance station inventories in order to provide both available bikes and empty docks to the commuters. In most systems, the operator manually selects the stations and amounts of bikes to be rebalanced among those that are considered unbalanced. In practice, such manual planning is likely to result in suboptimal system performance. In this paper, we propose three variants of a machine learning-based algorithm to select the stations that should be prioritized for rebalancing, using features such as the predicted trip demand, as well as the inventory levels at the stations themselves and their surrounding stations. We evaluate the performance of these prioritization strategies by simulating real-world trips using data from 2019 and 2020, each of which exhibits distinct travel patterns given the restrictive measures implemented in 2020 to prevent the spread of COVID-19. One of the strategies significantly improves the system’s performance, reducing the lost demand up to 22% and the required rebalancing operations up to 12% when compared to the prioritization scheme currently used in practice. Finally, another strategy encourages the selection of stations that are geographically clustered, which may facilitate rebalancing operations afterwards.