Miracle-dz/UniFAR-FTUs huggingface dataset:
Female Prostitution in Glasgow: Drug Use and Occupational Sector

Ethnographic research undertaken between 1992 and 1996 aimed to discover in what ways the varieties of social and commercial (including drug using) experiences of prostitutes are related to the forms of prostitution in which they engage. Females working in each of the Glasgow prostitution sectors (street, sauna, flat, escort and sugar daddy) were recruited by a multiple snowball sampling method which relied largely on research by privileged access. Data gathering was naturalistic and fieldwork extensive. Injecting, and acceptance of drug addiction as a rationale for prostituting amongst street prostitutes continues to be contrasted with intolerance of routine drug use by indoor prostitutes. However, findings are that traditional demarcations between street drug users and indoor non-users have diminished. Recreational drug use has become popular amongst some indoor sector workers. Differing environmental conditions and the various ‘social’ demands of prostitution were linked with both contrasting applicati.
Somatic Authority and the Myth of the Ideal Body in Dance Education

Recently, the field of somatics has provided dance scholarship with a growing body of literature. Research has been conducted in the areas of dance science and education. Dance medicine and somatic education scholars have been able to help dance teachers find ways of using the body effectively in technique classes. For example, Glenna Batson (1990, 1993) and Sylvie Fortin (1993, 1995) have investigated the role of somatics in the improvement of technical dance skills. Further, Fortin (1995) has investigated learning and teaching theory as applied to somatics and dance pedagogy. As a somaticist and educator, I acknowledge and appreciate the impressive work conducted by these researchers and educators. However, my current work moves somatics into another direction. I am interested in looking at somatic theory and practice through a socio-cultural lens. I am particularly interested in investigating how the body is shaped by society and the dance world, in which performers constantly strive for perfection.
Incidence of Ipilimumab-Related Serious Adverse Events in Patients with Advanced Cancer: A Meta-Analysis

Background: Little is known about the incidence of ipilimumab-related serious adverse events (SAEs) across various tumor types, drug doses and treatment regimens. Methods: PubMed database was searched up to November, 2017 to identify prospective clinical trials of ipilimumab therapy for adult patients with cancer. Comparisons of the incidence were based on the χ2 test in univariate analysis and the logistic regression model in multivariate analysis. Results: Twenty-four studies (4549 patients) with 35 independent study cohorts (21 melanoma, 6 prostate cancer, 5 NSCLC, and 3 SCLC cohorts) of ipilimumab were included in the meta-analysis. The overall incidence of SAEs during ipilimumab mono-therapy was 26.1% (95% CI, 21.1%-31.8%). SAEs were more frequent in the 10 mg/kg groups than in the 3 mg/kg groups (35.9% vs 17.3%; P < 0.001). Combination therapy showed significantly higher incidence than mono-therapy in melanoma (33.8% vs 25.0%; P = 0.002). After adjustment for potential confounders, multivariable analyses demonstrated lower odds of SAEs in NSCLC (odds ratio [OR] 0.52, 95% CI 0.40-0.69, P < 0.001) and SCLC (OR 0.41, 95% CI 0.31-0.54, P < 0.001) compared with melanoma. The 10mg/kg cohort presented significantly higher odds than the 3mg/kg (OR 2.84, 95% CI 2.35-3.43, P < 0.001). The combination therapy showed significantly higher odds than the mono-therapy (OR 1.38, 95% CI 1.11-1.71, P = 0.003). Conclusions: The incidence of ipilimumab-related SAEs was higher in melanoma, the 10mg/kg group and during combination therapy. Clinicians should enhance awareness of these risk factors in clinical practice and carefully monitor patients.
School exclusion drug use and antisocial behaviour at 15/16 years: Implications for youth transitions

Abstract Young people excluded from school face additional challenges compared with their contemporaries in mainstream school throughout adolescence, particularly at the end of compulsory schooling when aged 16 years. This paper reports on the experiences of 77 young people excluded from school at year 12 when aged 15/16 years. They were participating in the Belfast Youth Development Study during the period immediately prior to the end of compulsory schooling. The findings provide a profile of the lives of these young people as they approach the developmental period referred to as ‘youth transitions’. These young people reported high levels of antisocial behaviour and increasing detachment from the norms of mainstream society at a time when most young people are preparing to make the transition from adolescence to adulthood. This raises questions about the impact of targeted initiatives for addressing disaffection with school and their value for preparing young people for the transition to adulthood who may instead enter a period of NEET (Not in Education Employment or Training).
Drug Abuse Liability Assessment: A Review

Assessment of abuse liability of drugs is an important area of biomedical research. It has important implications ranging from physician education to regulatory control of different pharmacological compounds. One needs to be aware of the recommended paradigms while indulging in such research. Selection of appropriate methodology and study design would help answer the question definitively. There are different recommendations to carry out such research. The choice of the methodology should be driven by recommendations and need of the particular paradigm.
Assessment of various indexs for gastric emptying study by 13C-octanoic acid breath test-with special reference to Tmax

There have been many studies about the diagnosis of gastric emptying using 13C octanoic acid breath test (13C-OABT) since 1993 when Ghoos el al.(1993) first reported, and various index of 13C-OABT was investigated for the correct diagnosis. Especially, the half empting time (T1/2) calculated from fitting curve and the maximum peak time (Tmax) obtained by the actual 13C-excreation curve are used most frequently. However, some discrepancy between T1/2 and Tmax in the same subject is observed. In this report, we compared T1/2 with Tmax and discussed usefulness and problems of 13C-OABT. Subjects were 20 healthy volunteers and 55 patients with suspect of delayed gastric empting ; 50 with Diabetes Mellitus and 5 with functional dyspepsia. The subjects consumed a standard 280 kcal test meal consisting of 100 mg of 13C-octanoic acid. Breath samples were obtained before and every 15 min. after the consuming of test meal for a total of 6h. Correlation between T1/2 and Tmax was examined. As results, a significant correlation between T1/2 and Tmax was observed (γ=0.84). However, the diagnosis of T1/2 did not agree with that of Tmax in 29.7% ; 15 of 37 patients diagnosed as delayed gastric emptying by T1/2 were judged normal by Tmax. The 13C-excreation curve of these 15 patients showed delayed recovery in late phase. We speculated this delayed recovery did not result in true delayed gastric emptying but was the consequence of metabolic effect probably due to liver function. If so, the diagnosis using Tmax is considered more accurate than that using T1/2 in 13C-OABT, however requiring further study to confirm this speculation.
Psychosexual impact of female genital mutilation/cutting among Egyptian women

BackgroundEpidemiological studies in many developing countries have highlighted the impact of female genital mutilation/cutting (FGM/C) on sexual function, quality of life, and psychopathological status of married Egyptian women. Aim of the workTo clarify the impact of FGM/C on the psychosexual function of circumcised versus uncircumcised Egyptian women. Materials and methodsIn a cross-sectional study, a total of 220 married women (married for up to 5 years), either circumcised or not, were interviewed to complete the validated 19-item questionnaire of Female Sexual Function Index (FSFI), symptoms check list 90 developed by Leonard and colleagues, which was translated by El-Behery to evaluate the psychological state, and were also subjected to a gynecological examination. Women older than 50 years of age, married for more than 5 years, with minor scarring on the prepuce, not sexually active, with chronic medical diseases or neurological diseases, or those who refused to participate were excluded from the study. The main outcome measure was psychosexual functions-adapted data and FSFI score. ResultsA total of 74.5% of women were circumcised; type I FGM/C was the main type observed (86%),whereas type II was found in only 14%. Circumcised women were younger at the time of marriage, had lower education, and mostly lived in a rural area. Scores of sexual desire, lubrication, orgasm, satisfaction, and pain were higher in the uncircumcised group than those in the circumcised group. The total FSFI score showed a significant difference between the circumcised groups compared with the uncircumcised group. The type II circumcised group had significantly lower scores of desire, lubrication, orgasm, pain, and satisfaction as well as the total score compared with the type I circumcised group. Psychological assessment showed that the type II circumcised group had higher scores of depression, somatization, anxiety, and phobia than the uncircumcised group, whereas there was no statistically significant difference between the type I and the type II circumcised group. ConclusionFGM/C may be a contributing factor to sexual dysfunction in women, especially type II circumcision. Psychological health problems are more frequent among type II circumcised women.
The Effect of Customers’ Personalization of Social Media on Salesperson Selling Behaviors*

The purposes of the paper are to examine the influence of individual regulatory orientations on salespeople’ selling behaviors in the e-commerce industry, and explore the role of salespeople’ perceived consumer perception of personalization dimension of social media marketing in the relationships. The findings indicate that both promotion and prevention orientations impact on adaptive selling confidence and behaviors of salespeople. Although it is found that perceived consumer perception of personalization dimension of social media marketing does not moderate the relationship between regulation orientations and adaptive selling confidence, it is noted that this factor had a positive effect on adaptive selling confidence.
Superlinear Convergence of Randomized Block Lanczos Algorithm

The low rank approximation of a matrix is a crucial component in many data mining applications today. A competitive algorithm for this class of problems is the randomized block Lanczos algorithm - an amalgamation of the traditional block Lanczos algorithm with a randomized starting matrix. While empirically this algorithm performs well, there has been scant new theoretical insights on its convergence behavior and approximation accuracy, and those known results have been restricted to impractical settings in the all-important block-size parameter. In this paper, we present a unified singular value convergence analysis for this algorithm, for all valid choices of the block size. We present novel singular value lower bounds and demonstrate superlinear convergence in leading singular values for matrices with decaying singular values. Additionally, we provide results from numerical experiments that validate our analysis.
A Flow-Based Heuristic Algorithm for Network Operations Planning in Smart Grids

The smart grid is envisioned as a reconfigurable energy exchange network that is resilient to failures. An expected feature of the future smart grid is optimal power distribution from energy producers to consumers, also referred to as network operation planning. This entails allocating finite energy resources to customers in order to optimally satisfy all customer demands, subject to constraints on the topology of the graph. We model this problem as the Capacitated Spanning Forest Problem (CSF), namely the optimization problem of creating a spanning forest with a capacity constraint on each tree limiting its total weight. We present a new heuristic algorithm for solving CSF based on computing the minimum-cost maximum flow on the graph. Our algorithm outperforms state of the art approaches with respect to solution quality and running time.
TÜRK SPORCUSUNUN SPORDAN BEKLENTİLERİ İLE SPORA YÖNELTEN UNSURLAR

Bu calismanin amaci, Turkiye’de futbol bransi disindaki spor branslarinda yarisan sporcularin sayilarindaki azalmaya neden olan etkenleri belirlemektedir. Arastirmanin amacini gerceklestirmek uzere elde edilen veriler anket yoluyla elde edilmistir. Arastirmada kullanilan anket formu once benzer arastirma orneklerinden yararlanilarak taslak form haline getirilmis, daha sonra uzman beden egitimi ogretmeni, antrenor ve sporcularin gorusleri alinarak anket formuna son sekli verilmistir. Anketten elde edilen verilere dayali olarak anketin & ic tutarlilik guvenilirlik katsayisi . 8434 olarak hesaplanmistir. Arastirma 1996 yilinda gerceklestirilmistir. Arastirmaya Ankara, Izmir ve Manisa illerinde lisansli olarak spor yapan 15 spor bransindan 451 sporcu katilmistir. Anketten elde edilen veriler, frekans ve yuzdelerle aciklanmis ve yorumlanmistir. Ayrica arastirmaya katilan sporcularin yaptiklari spor branslarina, cinsiyetlerine, spor yapma yillarina ve aylik gelir durumlarina gore gorusler arasindaki farkin onemli olup olmadigini tespit etmek amaciyla, tek yonlu varyans analizi yapilmis, farkin onemli oldugu durumlarda ise coklu karsilastirma tekniklerinden Fischer’in en kucuk onemli farklar testi kullanilmistir. Istatistiksel anlamlilik icin ise . 05 anlamlilik duzeyi secilmistir. Arastirmanin sonunda, Turkiye’de futbol disindaki branslarda lisansli olarak spor yapan sporculari oncelikle ailesi, yakin cevresindeki ilgili antrenor ve arkadas grubunun spora yonlendirmedeki etkisinin yuksek, televizyon ve basin yayin organlari gibi kitle iletisim araclarinin ise spora yonlendirmedeki etkisinin oldukca az duzeyde oldugu belirlenmistir. Ayrica Turkiye’de Lisansli spor yapan sporcularin yaptiklari spor bransiyla ilgili, saglikli olmak, iyi bir fiziki gorunume sahip olmak ve milli takima secilmek gibi bazi beklentilerinin oldugu belirlenmistir. Ote yandan sporcularin yaptiklari spor bransina tesvik eden unsurlara, spor bransiyla ugrasma nedenlerine, spor yaparak olmasini bekledikleri beklentilere ve ugrasilan spor bransinda sportif basariyi ve performansi olumlu yonde etkileyebilecek faktorlere iliskin gorusleri arasindaki farkin, spor branslarina, spor yapma yillarina, ve aylik gelirlerine gore onemli oldugu belirlenirken, cinsiyet degiskenine gore ise onemli bulunmamistir
Continuously Tunable Optical Notch Filter With Functions of a Mirror and a Beam Splitter

The objective of this study was to develop continuously tunable optical notch filters by combining four left- and right-handed circular cholesteric liquid crystal (CLC) cells without subsidiary optical components. By rotating each filter, the photonic band position could be continuously blue shifted over 100-nm spectral range. Using four notch filter sets with four different chiral dopant concentrations, spectral range from 440 to 870 nm could be covered. Since each CLC cell has only one chiral dopant concentration, it could be stable for a long time. Each filter is independent of polarization in the spectral range. Filter performance was highly enhanced by introducing an anti-reflection layer on the filter device. There was no light leakage inside the photonic band. Outside the band, transmittance was about 70%–100%. In addition, these filters had stable operation under extremely high laser intensity (∼124 W/cm2 of CW 532-nm diode laser and ∼4.43 MW/cm2 of Nd: YAG pulse laser operation for 2 h) without showing damage. Such filters also have functions as a mirror and a beam splitter. Depending on CLC materials, this simple and easy strategy could be used to prepare filters for applications in VIS and NIR spectral range devices.
The Advantages and Disadvantages of the Blockchain Technology

The Blockchain is the newest and perspective technology in modern economy. This technology can help to solve different kind of problems in the industrial sphere, such as trust, transparency, security and reliability of data processing. In theory, the use of Blockchain technology shows great and positive results, but what can say about practice? In this paper the description of the Blockchain technology, and it advantages and disadvantages are analyzed. Many already implemented applications of Blockchain technology were studied, as well as affected success or problems factors during the implementations. This paper aim is to analyze conveniences and difficulties, related to the Blockchain integration and implementation in the different fields of modern industry.
A Hybrid Deep Neural Network for Online Learning

The use of deep neural networks for artificial intelligence tasks is increasing day by day. However, incremental learning in such networks is a challenging task. This paper deals with learning new classes by using pre-trained model without scratch training. The famous VGGNET architecture is used for classification and can be viewed as cascaded structure of convolutional layers and a classifier. A hybrid VGGNET model containing offline and online trained network is introduced for incremental leaning. The offline trained network which plays an important role in feature extraction, is fixed with pre-trained conventional network. While the online trained network is adaptable and tuned to learn new classes. The key benefit of such learning is that without scratch training, a huge reduction in learning time and computations is achieved. The experimental results obtained on Caltech 101 dataset show that the performance of this hybrid model is comparable to end to end training.
Enhanced Radar Imaging Using a Complex-Valued Convolutional Neural Network

Convolutional neural networks (CNN) have successfully been employed to tackle several remote sensing tasks such as image classification and show better performance than previous techniques. For the radar imaging community, a natural question is: Can CNN be introduced to radar imaging and enhance its performance? This letter gives an affirmative answer to this question. We first propose a processing framework by which a complex-valued CNN (CV-CNN) is used to enhance radar imaging. Then we introduce two modifications to the CV-CNN to adapt it to radar imaging tasks. Subsequently, the method to generate training data is shown and some implementation details are presented. Finally, simulations and experiments are carried out, and both results show the superiority of the proposed method on imaging quality and computational efficiency.
Objects Segmentation From High-Resolution Aerial Images Using U-Net With Pyramid Pooling Layers

Extracting manufactured features such as buildings, roads, and water from aerial images is critical for urban planning, traffic management, and industrial development. Recently, convolutional neural networks (CNNs) have become a popular strategy to capture contextual features automatically. In order to train CNNs, a large training data are required, but it is not straightforward to use free-accessible data sets due to imperfect labeling. To address this issue, we make a large scale of data sets using RGB aerial images and convert them to digital maps with location information such as roads, buildings, and water from the metropolitan area of Seoul in South Korea. The numbers of training and test data are 72 400 and 9600, respectively. Based on our self-made data sets, we design a multiobject segmentation system and propose an algorithm that utilizes pyramid pooling layers (PPLs) to improve U-Net. Test results indicate that U-Net with PPLs, called UNetPPL, learn fine-grained classification maps and outperforms other algorithms of fully convolutional network and U-Net, achieving the mean intersection of union (mIOU) of 79.52 and the pixel accuracy of 87.61% for four types of objects (i.e., building, road, water, and background).
An Encoder Generative Adversarial Network for Multi-modality Image Recognition

This paper is concerned with the multi-modality image recognition which is a crucial technique used in industrial applications. The paper proposes a novel algorithm based on the deep generative adversarial network to learn a common feature space between different modalities. These abstract features are robust to the modality discrepancy and can be used to train a cross-modality classifier which will achieve excellent performance on all modalities. The comparative experiments on standard mul-ti-modality image recognition benchmark are employed to validate the effectiveness of our proposed algorithm. The results demonstrate that the proposed network is efficient to deal with the multi-modality recognition challenge, especially improve the performance on the modalities with limited training samples.
Cascaded Model Predictive Control of Grid Connected Converter with LCL Filter

This paper presents a control strategy for grid connected voltage source converters with LCL filter, based on a cascade of two model predictive controllers (MPC). Despite the attention MPC has received in the research community over the last years, there are still raised question about what advantages such control methods can offer, compared to existing established control strategies. The cascaded MPC control algorithm is therefore implemented in a low-cost embedded system, to verify its commercial viability. This is made possible due to recent development in system-on-chip devices. Simulations and experimental results are presented to show the expected performance.
Implementing active learning through pedagogical coaching in Control Systems lectures

In Higher Education, lectures are mainly expositive. For the Millennials, a generation bound to digital technologies, this class profile seems to gather few supporters. This paper presents a Control Systems engineering course case study. It describes the classic methodologies used in class and the effort made to apply active learning methodologies using digital technologies to engage student’s participation. The lectures were attended by a pedagogical coach to give support and tune the application of new methods. The impact of both teaching approaches is assessed comparing the respective students’ performance in the course.
Vertically Aligned Graphene-based Thermal Interface Material with High Thermal Conductivity

High density packaging in combination with increased transistor integration inevitably leads to challenging power densities in terms of thermal management. Here, a novel highly thermal conductive and lightweight graphene based thermal interface materials (GT) was developed for thermal management in power devices. Composed by vertically graphene structures, GTs provide a continuous high thermal conductivity phase along the path of thermal transport, which lead to outstanding thermal properties. The highest through-plane thermal conductivity GTs reaches to 1000 W/mK, which is orders of magnitude higher than conventional TIMs, and even outperforms the pure indium by over ten times. In addition, a thin layer of indium metal that coated on the surface of GTs can easily form alloys with many other metals at a relatively low reflow temperature. Therefore, GTs, as an excellent TIM, can provide complete physical contact between two surfaces with minimized the contact resistance. The measured total thermal resistance and effective thermal conductivity by using 300 $\sim 3.7 Kmm$ 2 $ \textit {/W and $\sim 90\mathrm {W} /$ mK, respectively. Such values are significantly higher than the randomly dispersed composites presented above, and show even better thermal performance than pure indium bonding. In addition, GTs has more advantages than pure indium bonding, including low weight (density $ \lt 2\mathrm {g} /cm$}^{3}),$