Miracle-dz/UniFAR-FTUs huggingface dataset:
Increased Radiation Efficiency Using Band Gap Effect

Periodic arrangements of elements, such as scatterers, local resonators, and inertial amplifications can induce band gap phenomena, which result in vibration isolation in mechanical systems due to a significant reduction in the energy transmission from source to receiver. This effect has led to vibro-acoustic applications focusing mainly on the reduction of structure-borne noise. Here, we propose to broaden the application range by utilizing the band gap effect to increase the efficiency of sound radiation from vibrating mechanical structures. The increase in radiation efficiency is caused by the enhanced vibration localization near the excitation point. In order to illustrate the phenomenon, a one-dimensional mass-spring model with periodically placed local resonators is examined and with this theoretical model vibration localization and sound radiation efficiency are analyzed.
Is Gender a Factor in Mathematics Performance among Nigerian Senior Secondary Students with Varying School Organization and Location ?

The mathematics performance of graduating senior secondary year three students over a period of 10 years was investigated for possible gender differences. Data were drawn from students’ (880 males and 900 females) mock examination mathematics results from eight secondary schools (2 rural schools, 2 urban schools, 2 single-sex schools and 2 coeducational schools) in southeastern part of Nigeria. The independent t-test analysis of significance revealed a significant effect of gender in mathematics performance among the sample data. Also, there were significant differences in the mathematics performance of single-sex male and female students and rural male and female students, all in favour of male students. Based on the findings, the study recommended among others that more co-educational secondary schools be established to engender healthy rivalry between the male and female students in mathematics education since co-educational schools have the tendency to mitigate the performance gap between male and female students in mathematics. Keywords— Gender difference, mathematics performance, school location, school organization
miR-200 b / c targets the expression of RhoE and inhibits the proliferation and invasion of non-small cell lung cancer cells

Lung cancer is a major cause of mortality worldwide and non-small cell lung cancer (NSCLC) accounts for ~80% of all cases of lung cancer. Increasing evidence indicates that Rho family GTPase 3 (RhoE) is important in the carcinogenesis and progression of NSCLC. In addition, several studies have indicated that microRNA (miR)-200b/c is downregulated in NSCLC cells. However, the exact mechanism remains to be elucidated. In the present study, immunohistochemistry (IHC) assays were used to analyze the RhoE and epithelial-mesenchymal transition (EMT)-related proteins in NSCLC tissues. Putative target sequences of the RhoE 3' untranslated region (3'UTR) for miR-200b/c were detected using bioinformatics analysis. The mRNA expression levels of RhoE and miR-200b/c were determined by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis, and western blot analysis was used to detect the protein levels of RhoE in cells. The luciferase-reporter activity of the RhoE 3'UTR was detected using a dual-luciferase assay. A cell counting kit‐8 assay, flow cytometry and Transwell assay were used to detect cell proliferation, cell cycle, and invasion and migration ability, respectively. The IHC assays indicated that RhoE was overexpressed in NSCLC tissues. The bioinformatics analysis revealed that the RhoE 3'UTR contained a putative target site for miR-200b/c, which was conserved across species. The results of RT-qPCR analysis showed that the mRNA expression of RhoE was overexpressed and miR-200b/200c was decreased in lung cancer tissues. The enhanced expression of miR‐200b or miR‐200c significantly downregulated the expression of RhoE at the mRNA and protein levels in A549 and NCI-H1299 NSCLC cells. Furthermore, luciferase assays showed that miR-200b and miR-200c directly targeted the 3'UTR of RhoE. The forced expression of miR-200b or miR-200c markedly inhibited A549 cell and NCI-H1299 cell proliferation, G0/G1 progression and cell invasion, which was consistent with the effects of RNA interference-mediated RhoE knockdown in these cells. The suppression of RhoE regulated the expression of EMT-related markers, which was consistent with the effect of miR-200b/c in NSCLC cells, and the expression of EMT-related proteins and RhoE were also correlated in the lung cancer tissues. Therefore, miR-200b and miR-200c targeted the expression of RhoE and inhibited the malignancy of NSCLC cells, and the downregulation of miR-200b and miR-200c may contribute to the high expression of RhoE in NSCLC.
The Role of Physical Stores in the Digital Age: Quasi-Experimental Evidence from Product Level Analysis

With increasing ecommerce penetration, it is believed that consumers are spending more of their shopping time online and away from physical stores. This brings to question the role of physical stores in an increasingly digitized landscape and whether they remain relevant to existing retailers. The measurement of the impact of physical stores has been characterized by the difficulty of attributing the increase in online sales to customers seeing and experiencing products showcased in physical stores, as this information is not typically observed and captured. Should physical stores remain valuable in the digital age, which products stand to enhance its complementarity to online sales? In this study, we attempt to shed light on these questions using a quasi-experiment, taking place through a nationwide retailer that expanded its physical presence during the study period. This work distinguishes from past studies in that it studies consumer behavior in the underexplored, yet important Chinese market in a mature e-commerce era. Through a “triple-differences” framework conducted at the product-level, we provide a more direct evidence on the effect of the physical channel on sales outcomes in the online channel, thereby complementing past work that showed the benefits of offline stores. Accounting for endogeneity concerns, the main effect of store openings on online sales continue to hold under various checks. We find that online sales for products showcased in physical stores increase for both high and low involvement products, suggesting that two mechanisms are at work in driving the online sales of showcased products. The conspicuous feature of stores helps consumers converge their purchase for high involvement products by providing them with additional sources of product information that is otherwise not available online. Furthermore, the experiential aspect of stores help to increase product sales by generating greater top-of-the-mind awareness of lowinvolvement products. Implications for theory and practice are discussed.
Gender Equality in the Family Can Reduce the Malaria Burden in Malawi

We provide the first empirical evidence that increasing equality between decision makers in a family reduces malaria transmission in Malawi. International organizations and the Malawi government have invested more than one hundred million dollars to reduce the disease burden in the past decade, successfully reducing malaria prevalence by innovating, and scaling up impactful interventions. Additional progress is possible: we show that integrating womenâ€™s empowerment programs into malaria control efforts would reduce the disease burden further. We measure power in three different ways: we estimate two separate collective models of the family, one with outside options and one without, and we construct a reduced form index as a proxy. We find that women have less power than men across all three measurement methods. Using an instrumental variables approach, we find that a one standard deviation increase in womenâ€™s bargaining power decreases the likelihood that a family member contracts malaria by between 45% and 48%, depending on which measurement we use. We suggest that NGO and government programs addressing malaria incorporate a female empowerment component, like a gendered cash transfer, to better combat this deadly disease.
Revenue-Neutral Pollution Taxes in the Presence of a Renewable Fuel Standard

We assess the welfare implications of a revenue-neutral tax in the presence of two Renewable Fuel Standard (RFS) policies for cellulosic biofuels: the waiver credit and the input-ratio requirement. We extend the model of revenue-neutral taxation to allow for the taxation of a dirty input in an imperfectly competitive market while integrating RFS-specific policies. Simulations from Washington and Oregon indicate that a revenue-neutral tax raises welfare by 19%–21% but growth in cellulosic ethanol production is minimal, ranging from 0.6% to 1.5%. Pollution taxes, cellulosic ethanol production, and welfare are more responsive to the waiver credit than to the input-ratio requirement.
How Experience with Private IS Affects Employees ’ Satisfaction with Organizational IS

Most traditional IS adoption and acceptance research assumes that a majority of employees are resistant to the adoption of new technologies for work. However, phenomena like IT consumerization, bring your own device, and shadow IT illustrate that some employees actively introduce private IS to their organizations and thereby shape their own workplace. In this study, we investigate what leads employees to use alternative (private) IS for work. We draw on the cybernetic negative feedback loop as our theoretical framework to develop our research model. Our analysis indicates that satisfaction with organizational IS drives behavioral change. Further, our results show that not only the perceived performance of organizational IS predicts the employees’ satisfaction with organizational IS but also the perceived performance of private substitutes.
3D Human Avatar Digitization from a Single Image

With the development of AR/VR technologies, a reliable and straightforward way to digitize three-dimensional human body is in high demand. Most existing methods use complex equipment and sophisticated algorithms. This is impractical for everyday users. In this paper, we propose a pipeline that reconstructs 3D human shape avatar at a glance. Our approach simultaneously reconstructs the three-dimensional human geometry and whole body texture map with only a single RGB image as input. We first segment the human body part from the image and then obtain an initial body geometry by fitting the segment to a parametric model. Next, we warp the initial geometry to the final shape by applying a silhouette-based dense correspondence. Finally, to infer invisible backside texture from a frontal image, we propose a network we call InferGAN. Comprehensive experiments demonstrate that our solution is robust and effective on both public and our own captured data. Our human avatars can be easily rigged and animated using MoCap data. We developed a mobile application that demonstrates this capability in AR/VR settings.
Biomedical relation inference via embeddings

Understanding the relationships between entities such as drugs, genes, and phenotypes is extremely important in biomedical research in order to derive insights into the mechanisms that drive biological responses. However, our knowledge of these relationships is distributed across millions of unstructured text documents and curated databases are inadequate, making it impossible for researchers to access most of this knowledge. We propose the use of embeddings as a way to map entities and the relations between them into the same high-dimensional space, a novel approach which allows for not only information retrieval, but also a variety of novel analyses such as relationship prediction. Phrases representing relation types were identified using a combination of curated and text-mined phrases, and embeddings were generated using a Word2Vec implementation optimized for the task of relationship modeling. By aggregating the representations of equivalent relations and using the resulting vectors as training data, we were able to accurately identify the relationship between two given entities, simultaneously recovering known results and demonstrating the potential to generate entirely novel hypotheses.
A Guide To Practical Implementation Of Wavelet Filters For Image DeNoising Shanthi KJ DK Ravish

Restoration filters are used to recover an image that has been degraded by using a priori knowledge of the degradation phenomenon. This paper aims to provide a comparative study of both qualitative and quantitative performance of the restoration filters namely wavelet filter, median filter and wiener filter of which detailed study and analysis of the wavelet based noise removal is undertaken. The paper deals with the implementing the 2 level wavelet filters with all practical details. One of the main reasons for degradation of images is noise interference. The image is tested for speckle noise, Gaussian noise and salt and pepper noise. Standard test images in MATLAB are used and the filters are implemented using MATLAB functions with standard MATLAB images.
Determination of Optimal Parameters Using Metaheuristics for the Sound Zone Generation by the Least-Squares

We propose a method to determine the optimal parameters by metaheuristics for sound zone generation using the least-square method. We achieved multiple sound zone reproduction with sound pressure differences in multiple areas using a loudspeaker array by controlling the sound field with an inverse filter based on transfer functions between each loudspeaker and control points. At that time, three parameters must be determined: the number of control points, the control point arrangement, and the regularization parameters. In the conventional method, these parameters are experimentally and empirically determined. The control points are often set with a regular form in the target control area. In this paper, we proposed determination the number of control points and their arrangement using metaheuristics, which is a solution of mathematical optimization. We studied applying such metaheuristics as the genetic algorithm to determine these parameters. We evaluated the performance with a computer simulation. As a result, we improved the performance with the relative sound pressure level, the frequency response, and the PESQ.
Smart Vet: Autocompleting Sentences in Veterinary Medical Records

Every day, veterinarians write tens of thousands of medical records, mostly in standard formats following the SOAP structure: “Subjective”, “Objective”, “As-sessment”, and “Plan”. These notes record the ﬁndings of their physical exams and observations of their patients, and take countless hours to write. We present in this paper a new system that we call “Smart Vet” that assists veterinarians in the writing of their notes by suggesting autocompletions for their sentences as they are writing them within the sections of their medical records. To enable this, we present two approaches: an end-to-end deep learning system that models this task as a seq2seq neural machine translation problem (i.e. translate a given sequence of sentences that correspond to the existing medical record into the following sequence that corresponds to the next sentence the veterinarian would want to write) and a transformer-based language modeling system based on OpenAI’s recent advancements. Based on the success of this latter method, we evaluate this system live in a medical records application, and successfully see our autocompletions being used in production 12.46% of the time—a remarkable success.
SÃ©curitÃ© versus confort

MOTS CLÉS Incidents ; Erreurs médicales ; Inconfort ; PTSD ; Fin de vie Résumé La sécurité des patients est au premier plan dans les soins intensifs car leur survie en dépend. Parce que les problèmes somatiques sont souvent prioritaires dans ces services, surtout au début, le confort physique et psychique des patients et des familles est relégué au second plan. Or, nous pouvons émettre l’hypothèse que les deux concepts peuvent cohabiter sans que l’un soit toujours soumis aux exigences de l’autre. Dans cet article, les non-conformités aux normes de sécurité, la survenue des erreurs médicales et les situations d’inconfort sont mises en relation afin d’analyser si de favoriser le confort peut compromettre la sécurité du patient. Nous concluons que le maintien de sécurité n’est pas forcément en contradiction avec le développement d’une idéologie de confort pour les patients et les familles. Quelques situations concrètes sont présentées. © 2010 Société de réanimation de langue française. Publié par Elsevier Masson SAS. Tous droits réservés.
SALINITY RESISTANCE IS LINKED WITH ANTIOXIDANT ACTIVITY , PIGMENTATION PATTERN AND ANATOMICAL ADJUSTMENTS IN PHRAGMITES KARKA ( Retz . ) Trin . ex Steud

Halophytes can be good choice to exploit saline resources for economical purposes. Phragmites karka (Retz.) Trin. ex Steud. , is an invasive perennial grass potentially useful for bioenergy and medicinal purposes. It is widely distributed from saline wetlands to dry habitats and resist NaCl at both seed germination and growth levels. Some ecophysiological mechanisms of P. karka are reported in literature, however, effect of salinity on its anatomical features, water relations, leaf pigments and activity of antioxidants are not well understood. Plants were grown in plastic pots containing sandy soil and sub-irrigated with Hoagland solution under 0, 100 and 300 mM NaCl for two months. Fresh and dry biomass, plant length, leaf and stomata number were decreased with increasing salinity. Midrib thickness improved at 100 mM NaCl, while area of aerenchyma and leaf osmotic potential were unchanged. Water and osmotic potentials were decreased with increasing NaCl, compared to control treatment. Total antioxidant capacity (TAC), 2,2’azino-bis(3-ethylbenzothiazoline-6-sulphonic acid (ABTS), anthocyanins, betacyanins and chlorophylls were increased in salinity treatments. These results indicate that survival of P. karka could be associated with enhanced antioxidant activity, pigmentation pattern and anatomical adjustment in saline condition.
Cross-Modal Prediction Consistency based Self-Training for Unsupervised Domain Adaptation

We propose an unsupervised domain adaptation method based on self-training. Our method collects target examples with confident pseudo labels and uses them as a new source domain. Specifically, we adopt a two-stage framework to train the network. At the first stage, we train several different models independently from each other while varying the backbone architecture and input modality. We select confident target training samples, which have the same label predictions from all models, and augment the source dataset with the selected confident samples and their corresponding pseudo labels. At the second stage, we retrain a network to adapt to the target domain using the augmented source and target domain datasets. In the experiments, our method consistently improves accuracy from the baseline for two test domains (clipart and painting) in the DomainNet dataset.
Rapid displacement determination with a stand-alone multi-GNSS receiver : GPS , Beidou , GLONASS , and

Global Navigation Satellite System (GNSS) is an effective tool to retrieve displacement with high precision. Relative positioning and precise point positioning (PPP) are two basic techniques. We present a multi-GNSS dynamic PPP model considering the parameters of velocity and acceleration to determine high-precision displacement rapidly. The performance evaluations of dynamic PPP are conducted in terms of convergence time and positioning repeatability. The mean convergence time of GPS-only, Beidou-only, GPS + Beidou, GPS + GLONASS, GPS + Galileo, and quad-constellation dynamic PPP are 49.4, 104.5, 45.3, 39.9, 47.3, and 35.1 s, respectively. The Beidou-only dynamic PPP has poorer positioning repeatability than the GPS-only solution and the integration of multi-GNSS will enhance the positioning repeatability. The usability of multiGNSS dynamic PPP for kinematic application is demonstrated by a vehicle-borne kinematic experiment and seismic waves capture data at station LASA during the 2015 Mw 7.8 Nepal earthquake. The dynamic PPP for the kinematic test will be improved in terms of positioning precision with more GNSS constellations and does not suffer the long convergence time compared with kinematic solutions.
A SURVEY ON 5G: TECHNOLOGY AT THE DOORSTOP

A This paper surveys the “Five Disruptive Technology Directions for 5G” [1] and being heterogeneous to earlier surveys, shows the vision of 5G which includes the key technological aspects as well as the trial and migration plan. For each proposed conceptual architecture of 5G, we provide a comprehensive presentation of the concept, a discussion on the enhancements and variants on that concept, and a detailed picture of the latest state-of-the-art technology of that architecture. The objective of this study is to provide the big picture of 5G while simultaneously focus on the details of development of the technology (both theory and practice) and their feasibility for adopting in near future.We believe that this organization of works sheds some light on the design choices of 5G, clarify design goals for focusing design parameters of interest to communication engineers, essentially enabling the design and implementation of more reliable, robust and efficient
Textbook of Clinical Trials

Contributors. Preface. INTRODUCTION. 1. Brief History of Clinical Trials (S. Day and F. Ederer). 2. General Issues (D. Machin) 3. Clinical Trials in Pediatrics (J.P.E. Karlberg). 4. Clinical Trials Involving Older People (C. Jagger and A.J. Arthur). 5. Complementary Medicine (P.C.Leung). CANCER. 6. Breast Cancer (D.A. Barry, T.L. Smith and A.U. Buzdar). 7. Childhood Cancer (S.B. Murphy and J.J. Shuster). 8. Gastrointestinal Cancers (D. Sargent, R. Goldberg and P. Limburg). 9. Haemotologic Cancers (C.A. Schiffer and S.L. George). 10. Melanoma (P. Y. Liu and V.K. Sondak). 11. Respiratory Cancers (K. Kim). CARDIOVASCULAR. 12. Cardiovascular (L. Friedman and E. Schron). DENTISTRY AND MAXILLO FACIAL. 13. Dentistry and Maxillo facial(M Wong, C McGrath and E Lo). DERMATOLOGY. 14. Dermatology (L. Naldi and C. Minelli). PSYCHIATRY. 15. Overview (B.S. Everitt). 16. Alzheimer's Disease (L.J. Thal and R.G. Thomas). 17. Anxiety Disorders (M.K Shear and P.W. Lavori). 18. Cognitive Behaviour (N. Tarrier and T. Wukes). 19. Depression (G. Dunn). REPRODUCTIVE HEALTH. 20. Contraception (G. Piaggio). 21. Gynaecology and Infertility (S. Bhattacharya and J. Mollison). RESPIRATORY. 22. Respiratory (A. Kallen). Index.