Miracle-dz/UniFAR-FTUs huggingface dataset:
Attitudes Towards Press in Today’s Turkey: How Death Thoughts and Political Tendencies Effect Support for Free Press and Free Speech

Bu calismanin amaci, Cuillier ve digerleri (2010) tarafindan kaleme alinan “The Mortality Muzzle: The effect of death thoughts on attitudes toward national security and a watchdog press” isimli arastirmayi Turkiye’de tekrarlayarak, olumlulugun belirginliginin ve bireylerin siyasi egilimlerinin, Turkiye’deki universite ogrencilerinin basin ozgurlugune ve ifade ozgurlugune karsi tutumlarini nasil etkiledigini incelemektir. Orijinal calismanin kuramsal dayanagini Dehset Yonetimi Teorisi olusturmustur ve calisma, soz konusu teorinin ongorulerinin, kamuoyunun bekci kopegi rolunu ustlenen basina karsi olan tutumlari nasil etkiledigini anlamaya calismistir. Bu calisma ise, Turkiye’de benzer bir arastirma yapmak, ayni faktorlerin Turkiye kulturunde nasil isledigini anlamak ve sonuclarin nasil farklilastigini gormek amaciyla yapilmistir. Arastirma, Istanbul’da bir vakif universitesinin iletisim fakultesinde, cesitli dersleri almakta olan 110 universite ogrencisi (%61 kadin, %37 erkek, %2 belirtilmemis) ile gerceklestirilmistir. Sonuclar, Dehset Yonetimi Kuraminin yani sira, Turkiye’nin bu calismanin verileri toplandigi donemde var olan ozel kosullari ve katilimcilarin siyasi egilimleri ile birlikte tartisilmis ve farklilasan sonuclarin olasi sebepleri arastirilmistir.
Efficacy of Extracellular Metabolite Produced by Streptomyces levis Strain LX-65 as a Potential Herbicidal Agent

Weeds are known to cause enormous losses due to their interference in agroecosystems. Because of environmental and human health concerns, worldwide efforts are being made to reduce the heavy reliance on synthetic herbicides that are used to control weeds. In recent years there has been a rising interest in the discovery of environment friendly bioherbicidal compounds and biocontrol agents. In this regard an actinobacterium strain isolated from cultivated soil of Luxor governorate, Egypt was found to produce extracellular metabolite exhibited effective antibacterial, antifungal and herbicidal activity against some weeds associated with the winter wheat (Triticum aestivum L.) and maize (Zea mays). The produced metabolite exhibited percents of killing against Eruca sativa, Raphanus sativus, Lolium multiflorum, Echinochloa crusgalli, Triticum sativum and Zea mays, this percents varies with concentration, it was found that the germination reduced by range from 100 to 0%. The root length reduced by range from 100 to 8%, while the shoot length reduced by range from 100 to 10% and it was noted that the produced metabolite give stimulatory effect and the shoot length increased up to 80%. The degree of reduction increased with the filtrate concentration increasing. The produced metabolites have less significant effect on Triticum sativum and Zea mays growth and germination with some stimulatory effect in the case of Zea mays. Identification of the producer strain was performed according to spore morphology and cell wall chemo-type, which suggested that this strain is a streptomycete. Further cultural, physiological characteristics and phylogenetic analysis of 16S rRNA gene indicated that this strain is similar to Streptomyces levis (accession number KJ938645) and it was given the name Streptomyces levis, strain LX-65. [Mohamed Helal El-Sayed, Zeinab Khaled Abd El-Aziz and Asmaa Mohamed Abouzaid. Efficacy of Extracellular Metabolite Produced by Streptomyces levis Strain LX-65 as a Potential Herbicidal Agent. J Am Sci 2014;10(11):169-180]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 23
Molecular and hormonal responses and adaptation to resistance and protein nutrition in young and older men

Hulmi, Juha Jarmo Tapio Molecular and hormonal responses and adaptation to resistance exercise and protein nutrition in young and older men Jyvaskyla: University of Jyvaskyla, 2009, 109 p. (Studies in Sport, Physical Education and Health, ISSN 0356-1070; 133) ISBN 978-951-39-3524-5 (PDF), 978-951-39-3495-8 (nid.) Diss. The aim of the present study was to investigate the mechanisms leading to muscle hypertrophy in humans by studying local muscle molecular and systemic hormonal responses to a single bout of heavy resistance exercise (RE) and to long-term resistance training (RT) with or without protein supplementation in a randomized controlled double-blinded design. In line with earlier studies, heavy RT for 21 weeks led to muscle hypertrophy and an increase in muscle strength in both young and older men. Whey protein ingestion before and after each RE workout increased vastus lateralis (VL) muscle cross-sectional area and seemed to accelerate the increase in VL muscle thickness as well as the increase in body mass. However, no effect of protein was seen in muscle fiber size or in muscle force. A bout of RE in both young and older men decreased myostatin and its receptor gene expression. However, when protein was ingested before and after the RE bout, the decrease in myostatin mRNA and protein content did not occur and also the increase in serum testosterone during the RE bout was attenuated. The results of the older men suggest that the latter was not explained by a significant difference in the expression of androgen receptors. Protein ingestion increased the gene expression of the positive cell cycle regulator cdk2 after the RE bout and RT. The RE bout rapidly and favourably increased the phosphorylation of mTOR signaling pathway proteins, and whey protein ingestion strengthened and prolonged this response. RT did not consistently change the acute mRNA response to the single bout of RE or change the basal level of mRNA expression. However, the basal individual changes in androgen receptor concentration during the RT period seemed to explain, in part, the muscle hypertrophy observed during RT. Altogether, this thesis provides new information about the molecular events that possibly regulate muscle hypertrophy during resistance training with or without protein ingestion. These results could be applied when planning proper training and nutrition protocols with the objective of increasing or at least maintaining good muscle size and functional capacity.
Coleta de lavado gástrico para diagnóstico de tuberculose pulmonar infantil: revisão sistemática

OBJETIVO: Analisar a padronizacao da coleta do lavado gastrico para diagnostico de tuberculose em criancas. METODOS: Estudo de revisao sistematica referente aos anos de 1968 a 2008. O levantamento de artigos cientificos foi feito nas bases de dados Lilacs, SciELO e Medline, utilizando-se a estrategia de busca ("gastric lavage and tuberculosis" ou "gastric washing and tuberculosis", com o limite "criancas com idade ate 15 anos"; e "gastric lavage and tuberculosis and childhood" ou "gastric washing and tuberculosis and childhood"). A analise dos 80 artigos recuperados baseou-se nas informacoes sobre o protocolo de coleta de lavado gastrico para diagnostico da tuberculose em criancas: preparo da crianca e horas de jejum, horario da coleta, aspiracao do residuo gastrico, volume total aspirado, solucao usada para aspiracao do conteudo gastrico, solucao descontaminante, solucao tampao, e tempo de encaminhamento das amostras para o laboratorio. Desses, foram selecionados 14 artigos apos analise criteriosa. RESULTADOS: Nenhum artigo explicava detalhadamente todo o procedimento. Em alguns artigos nao constavam: quantidade de aspirado gastrico, aspiracao antes ou apos a instilacao de uma solucao, solucao usada na aspiracao gastrica, solucao tampao utilizada, tempo de espera entre coleta e processamento do material. Esses resultados mostram inconsistencias entre os protocolos de coleta de lavado gastrico. CONCLUSOES: Embora este seja um metodo secundario no Brasil, reservado a casos que nao alcancaram pontuacao diagnostica pelo sistema preconizado pelo Ministerio da Saude, e necessario padronizar a coleta de lavado gastrico para diagnostico de tuberculose pulmonar na infância.
A Formal Model of Design Patterns

We present a novel formal model of design patterns in object-oriented programming and apply it to prove relationships between different design patterns. Our model captures the structure of a design pattern, allowing definitions of an equality relationship, a part-whole relationship, and a specializationgeneralization relationship between design patterns. We present an example proof for each of these relationships, showing that Zimmer’s Objectifier pattern is equal to the classic Strategy pattern, that the Chain of Responsibility pattern is a part of the Decorator pattern, and that the Factory pattern is a specialization of the Abstract Factory pattern. For this last proof, we also provide a simple implementation of the patterns in C++ to justify the formal definition of the specialization relationship. In constructing our model, we argue for the treatment of design patterns as a higher level of abstraction over programs rather than as mere collections of accumulated best programming practices. We also examine the benefits of formalizing design patterns and then evaluate a few proposals in the literature, largely centered around the project of formalizing the Unified Modeling Language. Concluding that these efforts are insufficient to satisfy the goals we have for our model, we construct our formal model for design patterns. This model consists of a representation of classes and a definition of two relations on classes, inheritance and “containment” (i.e. aggregation, association, and composition treated as a single relation), thus capturing the static structure that design patterns represent.
On Visualizing Quantum Physics

The author, a sculptor with a background in physics, describes sculptures he creates inspired by quantum physics. He argues that art such as the presented sculptures can indicate aspects of reality that science cannot and therefore has the potential to help liberate us from the deep impact the paradigm of classical physics continues to have on our every perception of reality. article Frontispiece. Quantum Man (small version), steel, 50 × 22 × 10 in (127 × 56 × 25 cm), 2007. (© Julian Voss-andreae. Photo © Dan Kvitka.) the image shows a superposition of two views.
Investigating the impact of polysomy 17 in breast cancer patients with HER 2 amplification through meta-analysis HER 2 amplifikasyonu olan meme kanseri hastalarında Polizomi 17 ’ nin etkisinin meta-analiz ile araştırılması

Objectives: Since studies regarding the effect of polysomy 17 (P17) in breast cancer cases with some specific clinical findings are few in number and are in small sample sizes, meta-analysis was implemented to exhibit the effects of P17 in patients with Human Epidermal growth factor Receptor 2 (HER2) amplification on lymph node involvement and tumor grade. Materials and methods: Pubmed literature database was scanned up to June 2017 by using the keywords “polysomy 17 breast cancer” and 141 studies were accessed. Ultimately four of the reviewed papers have been found to be appropriate for examining the effect of P17 on lymph node involvement and tumor grade. Prior to meta-analysis, publication bias and heterogeneity of the studies was examined. Results: Meta-analysis in the examining the effect of polysomy 17 on lymph node involvement (OR = 1.708, 95% CI: 1.068–2.733), on grade [3]/[3,1] (OR = 3.402, 95% CI: 1.726– 6.707), on grade [3]/[3, 2] (OR = 2.581, 95% CI: 0.778–8.559) and on grade [2]/[2,1] (OR = 1.854, 95% CI: 0.531–6.468) was determined in those with HER2 amplification. Conclusion: It was observed that in terms of lymph node involvement, P17 was a risk factor in patients and with regard to tumor grade, P17 was a risk factor when grade increased in patients with amplification.
What causes positive customer satisfaction in an ineffectual software development project? A mechanism from a process tracing case study

: The customer role is crucial in agile information systems development (ISD). There is, however, a scarceness in research on how this role is enacted, and how its practice influences project outcome. In this longitudinal case study, an agile ISD project is followed with a particular focus on the customer organization’s participation, aiming to contribute to the understanding of how customers influence agile ISD projects. The data analysis follows a process tracing approach, a case study method where one aims to identify the causes and outcomes of any kind of process through the rigorous analysis of qualitative data. The analysis of the case shows that the low completion of the initial project requirements was caused by over-scoping and by an immature customer. Further, the customer’s acceptance of the outcome was caused by the agile practices introduced in the project. These helped to create a high customer’s sense of responsibility for the outcome, which worked as a mediator towards a positive acceptance of the delivery. The study contributes a mechanism for why agile projects may still be successful in light of low delivery. It is also a first case study in the information systems field explicitly using a process tracing approach.
A review on applications of computational fluid dynamics

Computational fluid dynamics (CFD) is well established as a tool of choice for solving problems that involves one or more of the following phenomena: flow of fluids, heat transfer, mass transfer and chemical reaction. The present work reviews the salient features as well as practical application of CFD techniques carried out in the last more than 50 years in various sections related to industry with the objective of how and where it can be applied. It is concluded that CFD presents a number of opportunities in industrial work analysis, and the scope of this opportunity will further develop as both computational hardware and software resources becomes
Action Recognition using Rank-1 Approximation of Joint Self-Similarity Volume Anonymous ICCV submission

In this paper, we introduce a generic method for action recognition that does not depend on one particular type of input feature vector. We make three main contributions: (i) We introduce the concept of Joint Self-Similarity Volume (Joint SSV) for modeling dynamical systems, and show that by using a new optimized rank-1 tensor approximation of Joint SSV one can obtain compact low-dimensional descriptors that very accurately preserve the dynamics of the original system, e.g. an action video sequence; (ii) The descriptor vectors derived from the optimized rank-1 approximation make it possible to recognize actions without explicitly aligning the videos in time in order to compensate for speed of execution or differences in video frame rates; (iii) The method is generic and can be applied using different low-level features such as silhouettes, tracked points, histogram of oriented gradients, etc. Hence, it does not necessarily require explicit tracking of features in the space-time volume. Our experimental results on three public datasets demonstrate that our method produces remarkably good results and outperforms all baseline methods.
A Personalized Recommendation Method Based on Collaborative Filtering Algorithm

Collaborative filtering algorithm is a widely used recommendation algorithm. However, when applied to e-commerce personalized recommendation, it faces the following issues: firstly, how to consider the user's interest changes over time when getting similarity between the users more precise; secondly, how to use social networks to more accurately getting the nearest neighbor of users; and thirdly, how to consider the behavior of users who have the same interests and different ratings in making the predicted rating score of item more accurately; fourthly, how to use the inherent relation between product categories, such as internal relations, while recommending. In order to solve these problems, this paper improves the traditional collaborative filtering algorithm by integrating timing updates, trust relationship, optimization of predicted rating score and structured ideas. To distinguish users' past interest characteristics and their recent ones, by introducing the idea of timing update, this paper regards the user's shopping experience as a set of time periods, considering the influences of the users' interest at different time on the similarity of the users, and the influence of trust relationship between target user and similar users on the establishment of nearest neighbor set. On this basis, faced with the difference of evaluation criteria of different users on the same recommendation item, this study optimizes scoring method of similar users and gets a pre-scoring-based predicted rating score method for target user to recommend item. Furtherly, considering the relationship between the recommended item and other items, this paper also proposes an idea of relative recommending based on recommended item as a secondary recommendation. At the end of this paper, the proposed method is verified on the review dataset in MovieLens which is provided by the College of computer science and engineering of University of Minnesota. The experimental results show that the proposed method has obvious recommendation accuracy compared with the traditional collaborative filtering algorithm.
Multi-Armed Bandit : A Recommendation for Neural Network Learning Algorithms

The multi-armed bandit problem has recently gained popularity as a model for studying the tradeoff between exploration and exploitation in reinforcement learning. While many algorithms are understood well theoretically, empirical results suggest that relatively naive algorithms outperform more theoretically sound ones. This paper provides such evidence for a few popular algorithms. The short-term and long-term behaviors of several popular Multi-Arm Bandit solutions were also examined. This examination is motivated by the wide variety of uses for reinforcement learning. Applications sometimes call for an algorithm which learns quickly, but sacrifices optimal long term performance. Two important observations can be made from our results. First, our paper reinforces the results of previous papers which found that the -greedy and Softmax algorithms outperform algorithms such as Thompson Sampling [1][2]. Secondly, the inherent tradeoffs with learning algorithms lead to varying performance in the short term, within 200 iterations and long term, at 1000 iterations. Optimal algorithm choice varies greatly across the parameters tested. Epsilon-Greedy and Softmax are often the optimal algorithms.
Number : WUCSE-2004-26 2004-05-12 Efficient Power Management based on Application Timing Semantics for Wireless Sensor Networks

This paper proposes Efficient Sleep Scheduling based on Application Timing (ESSAT), a novel power management scheme that aggressively exploits the timing semantics of wireless sensor network applications. We present three ESSAT protocols each of which integrates (1) a lightweight traffic shaper that actively shapes the workload inside the network to achieve predictable timing properties over multiple hops, and (2) a local scheduling algorithm that wakes up nodes just-in-time based on the timing properties of shaped workloads. Our ESSAT protocols have several distinguishing features. First, they can save significant energy with minimal delay penalties. Second, they do not maintain TDMA schedules or communication backbones; as such, they are highly efficient and suitable for resource constrained sensor platforms. Moreover, the protocols are robust in highly dynamic network environments, i.e., they can handle variable multi-hop communication delays and aggregate workloads involving multiple queries, and can adapt to varying workload and network topologies. Our simulations showed that DTS-SS, an ESSAT protocol, achieved an average node duty cycle 3887% lower than SPAN, and query latencies 36-98% lower than PSM and SYNC.
OVERVIEW OF LASERWIRE BEAM PROFILE AND EMITTANCE MEASUREMENTS FOR HIGH POWER PROTON ACCELERATORS

Laserwires were originally developed to measure micron-sized electron beams via Compton scattering, where traditional wire scanners are at the limit of their resolution. Laserwires have since been applied to larger beamsize, high power H− ion beams, where the non-invasive method can probe beam densities that would damage traditional diagnostics. While photo-detachment of H− ions is now routine to measure beam profiles, extending the technique to transverse and longitudinal emittance measurements is a key aim of the laserwire emittance scanner under construction at the Front End Test Stand (FETS) at the RAL. A pulsed, 30 kHz, 8 kW peak power laser is fibrecoupled to motorized collimating optics, which controls the position and thickness of the laserwire delivered to the Hinteraction chamber. The laserwire slices out a beamlet of neutralized particles, which propagate to a downstream scintillator and camera. The emittance is reconstructed from 2D images as the laserwire position is scanned. Results from the delivery optics, scintillator tests and particle tracking simulations of the full system are reviewed. Plans to deploy the FETS laser system at the LINAC4 at CERN are outlined.
OIP 3 gm-boosted up-conversion CMOS mixer for 5 – 6 GHz application

A highly linear up-conversion mixer for 5–6 GHz wireless local area network (WLAN) applications implemented using TSMC 0.18-μm standard complementary metal oxide semiconductor (CMOS) technology is presented. The feature of the proposed mixer is based on the double-balanced Gilbert cell with current-reused technique to enhance the third-order input intercept point (IIP3). Moreover, local oscillator (LO) body grounded and gmboosting techniques are also integrated to boost the power conversion gain (CG). The proposed up-conversion mixer demonstrates a maximum CG of 7.21 dB, a maximum IIP3 of 13.17 dBm, an output third-order input intercept point (OIP3) of 19.38 dBm, and a DC power consumption of 4 mW on silicon given a 1.1 V supply voltage. The overall chip area including radio frequency (RF) pads is 1×0.85 mm, where the active area is merely 0.7×0.37 mm.
High genetic diversity of porcine sapoviruses infection in Henan Province , China

Sapoviruses (SaVs) belong to the family of Caliciviridae and are related to gastroenteritis of humans and animals worldwide. New strains or genogroups are emerging globally, however the related data of China are limited. To determine the prevalence and genogroup distribution of SaVs in Henan area, central China, 169 pig fecal samples were screened by RT-PCR method. Results showed that the overall positive rate of SaVs was 8.9%. Phylogenetic analysis indicated that these SaVs strains clustered into three reported genogroups; GIII, GVII, GVIII, and two new genogroups; GIX and GX. To the best of our knowledge, this is the first report of high genetic diversity of porcine SaVs infection in China including two new genogroups.
UNIFORMITY MEASURES FOR POINT SAMPLES IN HYPERCUBES

The measures discussed here make no attempt to look at the uniformity of projections of point sets onto lower dimensional faces of the hypercube. In particular, the measures give no information about the discrepancy of the point sets. Thus, these measures should be viewed as being useful for determining the uniformity of point sets in the hypercube itself; the relative merits of different point sets as determined by the measures discussed here apply to applications for which volumetric uniformity is most important.
Spatial differentiation for sample selection models

This paper uses spatial differencing to estimate parameters in sample selection models with unobserved heterogeneity. We show that under the assumption of smooth changes across the space of unobserved site-specific heterogeneity and selection probability, key parameters of a sample selection model are identified. A simple estimation procedure is proposed and the formula for the estimator of the standard error is derived.