Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of knowledge in the replication of routines

Dans les travaux d’inspiration penrosienne, le problème fondamental réside dans la capacité à générer des ressources spécifiques. Un des défis pour la stratégie consiste, en effet, à créer et à répliquer de telles ressources au sein de la firme, tout en la protégeant de ses concurrents. Les routines jouent souvent ce rôle. On peut donc comprendre pourquoi leur copie est cruciale. Cet article tente de souligner une variable essentielle dans le problème de la réplication des routines : la connaissance. L’objectif est d’observer différentes dimensions de la connaissance et son/leur impact sur le transfert des routines. En partant d’une définition des routines sous leur double dimension -cognitive et politique-, et en soulignant les limites des processus de codification, nous tenterons d’offrir un cadre analytique suffisamment riche pour observer les problèmes de duplication.
Correctional method on hard core drug addicted: A study on AADK, AADK-I and INABAH

This article is part of a larger study on the role of spirituality in correcting the hard core drug addict. The study seeks to reveal the experience of former hard core drug addicted through different correctional method. This is to better understand the deep meanings from their experiences with spirituality and transformation as they cope with the challenges of drug addict. Data were gathered using in depth interview with the former drug addicted who have experience through AADK, AADK-i and Pondok Inabah. Qualitative methods were used in identifying several themes which 1) Basic method of treatment used; 2) Special treatment used; 3) Feeling during treatment; 4) Preparation to face community; 5) Successful rate. The study suggests that former drug addict experiences with drug addict and their learning processes must be understood within the appropriate cultural context. The common emphasis of spirituality on relationship with God, self and others, may significantly influence how people learn to live without drug.
The effect of peer-led team learning on undergraduate engineering students’ conceptual understanding, state anxiety, and social anxiety

This study aims to compare the effectiveness of a Peer-Led Team Learning (PLTL) model with that of traditional college instruction (TCI) in enhancing the conceptual understanding and reducing both the state anxiety and social anxiety of undergraduate engineering students in a general chemistry course in a quasi-experimental design. 128 engineering students taking the course participated in the study. One of the course sections was randomly assigned to the experimental group and the other section was assigned to the control group. Both sections were taught by the same instructor. The control group was instructed using traditional college instruction, while the experimental group was instructed using the PLTL model. Throughout this study, six peer-led chemistry workshops and leader training sessions were performed simultaneously. The General Chemistry Concept Test, the State–Trait Anxiety Inventory, and the Social Anxiety Questionnaire for Adults were administered before and after the treatment to both groups. One-way Multivariate Analysis of Covariance (MANCOVA) indicated that after controlling students’ university entrance scores, trait anxiety scores and pre-test scores of both the General Chemistry Concept Test and state anxiety, the PLTL model was more effective in improving the conceptual understanding and reducing the situational anxiety of engineering students in undergraduate general chemistry. However, it was not so effective in lessening their social anxiety when compared to traditional college instruction.
Orientation in space using the sense of smell

Several studies reported that respiration interacts with olfactory perception. Therefore, in the pilot study of this experiment series human breathing was investigated during an olfactory experiment. Breathing parameters (respiratory minute volume, respiratory amplitude, and breathing rate) were quantified in response to odor stimulation and olfactory imagery. We provide evidence that respiration changed during smelling and during olfactory imagery in comparison to the baseline condition. In conclusion, olfactory perception and olfactory imagery both have an impact on the human respiratory profile, which is hypothesized to be based on a common underlying mechanism named sniffing. Our findings underline that for certain aspects of olfactory research it may be necessary to control and/or monitor respiration during olfactory stimulation. The human ability to localize odors has been investigated in a limited number of studies, but the findings are contradictory. We hypothesized that this was mainly due to differential effects of olfactory and trigeminal stimulation. Only few substances excite selectively the olfactory system. One of them is hydrogen sulphide (H2S). In contrast, most odorants stimulate both olfactory and trigeminal receptors of the nasal mucosa. The main goal of this study was to test the human ability to localize substances, which excite the olfactory system selectively. For this purpose we performed localization experiment using low and high concentrations of the pure odorant H2S, the olfactory-trigeminal substance isoamyl acetate (IAA), and the trigeminal substance carbon dioxide (CO2). In preparation for the localization study a detection experiment was carried out to ensure that subjects perceived the applied stimuli consciously. The aim of the detection study was to quantify the human sensitivity in response to stimulation with H2S, IAA, and CO2. We tested healthy subjects using an event-related experimental design. The olfactory stimulation was performed using an olfactometer. The results showed that humans are able to detect H2S in low concentration (2 ppm) with moderate sensitivity, and possess a high sensitivity in response to stimulation with 8ppm H2S, 50% v/v CO2, and 17.5% v/v IAA. The localization experiment revealed that subjects can localize H2S neither in low nor in high concentrations. In contrast to that, subjects possess an ability to localize both IAA and CO2 stimuli. These results clearly demonstrate that humans are able to localize odorants which excite the trigeminal system, but they are not able to localize odors that stimulate the olfactory system exclusively, in spite of consciously perceiving the stimuli.
Refugee Entrepreneurship: Empirical Quantitative Evidence on Microenterprises in Refugee Camps in Turkey

Abstract This article examines the current situations of refugee microenterprises in selected refugee camps in Turkey. A quantitative method is employed. Findings show that approximately 25% of respondents have managed to start their businesses in refugee camps. Respondents indicate that funding sources are mostly from savings or sponsorship from relatives. More than half of the respondents had entrepreneurship experience. Over 80% of respondents showed a willingness to participate in microentrepreneurship. Findings on challenges conform to the traditional problems of starting a microenterprise for refugees. The results of this study indicate the enormous potential of refugees and their willingness to engage in entrepreneurship activities.
Artificial lateral line with biomimetic neuromasts to emulate fish sensing

Hydrodynamic imaging using the lateral line plays a critical role in fish behavior. To engineer such a biologically inspired sensing system, we developed an artificial lateral line using MEMS (microelectromechanical system) technology and explored its localization capability. Arrays of biomimetic neuromasts constituted an artificial lateral line wrapped around a cylinder. A beamforming algorithm further enabled the artificial lateral line to image real-world hydrodynamic events in a 3D domain. We demonstrate that the artificial lateral line system can accurately localize an artificial dipole source and a natural tail-flicking crayfish under various conditions. The artificial lateral line provides a new sense to man-made underwater vehicles and marine robots so that they can sense like fish.
QUICKAR: Automatic query reformulation for concept location using crowdsourced knowledge

During maintenance, software developers deal with numerous change requests made by the users of a software system. Studies show that the developers find it challenging to select appropriate search terms from a change request during concept location. In this paper, we propose a novel technique-QUICKAR-that automatically suggests helpful reformulations for a given query by leveraging the crowdsourced knowledge from Stack Overflow. It determines semantic similarity or relevance between any two terms by analyzing their adjacent word lists from the programming questions of Stack Overflow, and then suggests semantically relevant queries for concept location. Experiments using 510 queries from two software systems suggest that our technique can improve or preserve the quality of 76% of the initial queries on average which is promising. Comparison with one baseline technique validates our preliminary findings, and also demonstrates the potential of our technique.
Fast stereo triangulation using symmetry

This paper proposes a method to use reflectional symmetry as a feature to rapidly triangulate the 3D location of objects using stereo vision. Our approach can triangulate objects under non-uniform lighting conditions. Objects that pose a problem to other stereo methods, such as reflective and transparent objects, as well as objects with rounded surfaces prone to incorrect stereo matching, can also be triangulated using our method. Assuming the object being triangulated is visually symmetric, no a priori models are required. The triangulation approach was tested experimentally. The test data contain 24 image pairs of 6 different objects, each placed at four different locations. The triangulation results are compared quantitatively against ground truth locations on a camera calibration checkerboard. The mean error of the triangulation is 10.6mm across the entire test data set. A qualitative comparison show that our algorithm out performs dense stereo methods for a variety of objects. The algorithm can operate on 640x480 images at 5 frame-pairs-per-second on a standard laptop PC.
Analisis Kemampuan Berpikir Kreatif Matematis Siswa SMP Dalam Menyelesaikan Soal Adopsi ‘PISA’

Penelitian ini bertujuan untuk menganalisis kemampuan berpikir kreatif matematis siswa kelas IX dalam menyelesaikan soal adopsi PISA di MTsN 6 Banyuwangi. Jenis penelitian ini adalah kualitatif deskriptif dengan 4 subjek penelitian sesuai dengan Tingkat Berpikir Kreatif matematis (TBKM). Pengumpulan data menggunakan instrumen soal adopsi PISA domain change and relationship dan domain space and shape dan pedoman wawancara. Indikator pengkategorian kemampuan berpikir kreatif meliputi fluency, flexibility, dan novelty. Hasil penelitian menunjukkan terdapat 1 siswa tidak kreatif, 22 siswa kurang kreatif, 2 siswa kreatif, tidak ada siswa cukup kreatif dan sangat kreatif. Terdapat perbedaan karakter siswa dalam menyelesaikan soal meskipun dalam level TBKM yang sama. Secara keseluruhan siswa berada pada level kurang kreatif, karena jarangnya pemberian soal non rutin, terbiasa menggunakan satu cara dalam penyelesaian dengan jawaban tunggal dalam pembelajaran.
Should Price Increases Be Targeted? -- Pricing Power and Selective vs. Across-the-Board Price Increases

Firms in many industries experience protracted periods of pricing power, the ability to successfully enact price increases. In these situations, firms must decide not only whether to raise prices, but to whom. Specifically, in a competitive context, they must determine whether it is more profitable to increase prices across-the-board or to a specific segment of their customer base. While selective price decreases are ubiquitous in practice (e.g., better deals to potential new customers by phone carriers; better deals to current customers by various magazines), to our knowledge selective price increases are relatively rare. We illustrate the benefits of targeted price increases, and, as such, we expand the repertoire of firms' promotional policies. To that end, we explore a scenario where two competing firms must decide whether to increase prices to the entire market or only to a specific segment. Targeted price increases (TPI), i.e., being offered an unchanged price (selectively) when others are subject to price increases, can be offered to Loyals (those who bought from the firm in the previous period) or Switchers (those who did not). The effects of TPIs are estimated through a laboratory experiment and an associated stochastic model, each allowing for both rational (Loyalty, Switching) and behaviorist (Betrayal, Jealousy) effects. We find that TPIs can indeed yield beneficial results (greater retention for Loyals or greater attraction of Switchers) and greater profits in certain circumstances. Results for TPI are additionally benchmarked against those for targeted price decreases and are found to differ. The range of effects stemming from the experiment can be used in a competitive analysis to yield equilibrium strategies for the two firms. In this case, we find that---depending on the magnitude of the price increase, market shares of the two firms, and price knowledge across consumer segments---a firm may wish to embrace targeted price increases in some situations, to institute across-the-board price increases in others, and to not enact any price increases in still others. We show that a firm can sacrifice considerable profit if it settles on a suboptimal pricing strategy (e.g., wrongly instituting an across-the-board increase), favors the wrong segment (e.g., Switchers instead of Loyals), or ignores “behaviorist” effects (Betrayal or Jealousy).
Molecular Typing of Lung Adenocarcinoma on Cytological Samples Using a Multigene Next Generation Sequencing Panel

Identification of driver mutations in lung adenocarcinoma has led to development of targeted agents that are already approved for clinical use or are in clinical trials. Therefore, the number of biomarkers that will be needed to assess is expected to rapidly increase. This calls for the implementation of methods probing the mutational status of multiple genes for inoperable cases, for which limited cytological or bioptic material is available. Cytology specimens from 38 lung adenocarcinomas were subjected to the simultaneous assessment of 504 mutational hotspots of 22 lung cancer-associated genes using 10 nanograms of DNA and Ion Torrent PGM next-generation sequencing. Thirty-six cases were successfully sequenced (95%). In 24/36 cases (67%) at least one mutated gene was observed, including EGFR, KRAS, PIK3CA, BRAF, TP53, PTEN, MET, SMAD4, FGFR3, STK11, MAP2K1. EGFR and KRAS mutations, respectively found in 6/36 (16%) and 10/36 (28%) cases, were mutually exclusive. Nine samples (25%) showed concurrent alterations in different genes. The next-generation sequencing test used is superior to current standard methodologies, as it interrogates multiple genes and requires limited amounts of DNA. Its applicability to routine cytology samples might allow a significant increase in the fraction of lung cancer patients eligible for personalized therapy.
Factors Affecting Attendance at and Timing of Formal Antenatal Care: Results from a Qualitative Study in Madang, Papua New Guinea

Background Appropriate antenatal care (ANC) is key for the health of mother and child. However, in Papua New Guinea (PNG), only a third of women receive any ANC during pregnancy. Drawing on qualitative research, this paper explores the influences on ANC attendance and timing of first visit in the Madang region of Papua New Guinea. Methods Data were collected in three sites utilizing several qualitative methods: free-listing and sorting of terms and definitions, focus group discussions, in-depth interviews, observation in health care facilities and case studies of pregnant women. Respondents included pregnant women, their relatives, biomedical and traditional health providers, opinion leaders and community members. Results Although generally reported to be important, respondents’ understanding of the procedures involved in ANC was limited. Factors influencing attendance fell into three main categories: accessibility, attitudes to ANC, and interpersonal issues. Although women saw accessibility (distance and cost) as a barrier, those who lived close to health facilities and could easily afford ANC also demonstrated poor attendance. Attitudes were shaped by previous experiences of ANC, such as waiting times, quality of care, and perceptions of preventative care and medical interventions during pregnancy. Interpersonal factors included relationships with healthcare providers, pregnancy disclosure, and family conflict. A desire to avoid repeat clinic visits, ideas about the strength of the fetus and parity were particularly relevant to the timing of first ANC visit. Conclusions This long-term in-depth study (the first of its kind in Madang, PNG) shows how socio-cultural and economic factors influence ANC attendance. These factors must be addressed to encourage timely ANC visits: interventions could focus on ANC delivery in health facilities, for example, by addressing healthcare staff’s attitudes towards pregnant women.
Liver Transcriptome Analysis of the Large Yellow Croaker (Larimichthys crocea) during Fasting by Using RNA-Seq

The large yellow croaker (Larimichthys crocea) is an economically important fish species in Chinese mariculture industry. To understand the molecular basis underlying the response to fasting, Illumina HiSeqTM 2000 was used to analyze the liver transcriptome of fasting large yellow croakers. A total of 54,933,550 clean reads were obtained and assembled into 110,364 contigs. Annotation to the NCBI database identified a total of 38,728 unigenes, of which 19,654 were classified into Gene Ontology and 22,683 were found in Kyoto Encyclopedia of Genes and Genomes (KEGG). Comparative analysis of the expression profiles between fasting fish and normal-feeding fish identified a total of 7,623 differentially expressed genes (P < 0.05), including 2,500 upregulated genes and 5,123 downregulated genes. Dramatic differences were observed in the genes involved in metabolic pathways such as fat digestion and absorption, citrate cycle, and glycolysis/gluconeogenesis, and the similar results were also found in the transcriptome of skeletal muscle. Further qPCR analysis confirmed that the genes encoding the factors involved in those pathways significantly changed in terms of expression levels. The results of the present study provide insights into the molecular mechanisms underlying the metabolic response of the large yellow croaker to fasting as well as identified areas that require further investigation.
Exploiting Machine Learning to Subvert Your Spam Filter

Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This paper shows how an adversary can exploit statistical machine learning, as used in the SpamBayes spam filter, to render it useless--even if the adversary's access is limited to only 1% of the training messages. We further demonstrate a new class of focused attacks that successfully prevent victims from receiving specific email messages. Finally, we introduce two new types of defenses against these attacks.
Power Laws in Tourist Flows

INTRODUCTION Power-law distribution exists in many natural, social and economic phenomena, when the frequency of an incident varies with a power of certain attribute of that incident (Mitzenmacher 2004). In the tourism field, earlier research has shown that the number of tourists visiting specific countries in a given year follows Zipf's law, a special case of the power law (Ulubasoglu and Hazari 2004). In this abstract, we show that a number of tourist flow-related variables also follow power-law distributions, including the number of tourists coming to and going out of different countries, the number of tourists who are visiting cities in the United States, and the number of outbound Japanese tourists visiting other countries. These results suggest that the power-law distribution is a common attribute of the tourism industry and it has great implications for how we view tourism as a socioeconomic phenomenon.
Functional analysis of the interaction between HCV 5'UTR and putative subunits of eukaryotic translation initiation factor eIF3

Translation initiation in Hepatitis C Virus is controlled by the presence of an internal ribosome entry site element (IRES) principally located in its 5' untranslated region (UTR). Mutation/deletion analyses have shown that the integrity of this structure is essential for initiation of cap-independent protein synthesis. We have developed a strategy to swap the position of the two major domains (II and III) on the 5'UTR sequence. The aim was to further characterize this mechanism by preserving domain-specific interactions but possibly losing contacts that require any interdomain geometry. The expression of dicistronic mRNAs containing these different UTRs showed that the positioning of the different domains on the 5'UTR is essential for efficient IRES functioning. We then used these mutants to identify cellular factors implicated in IRES activity. Using UV crosslinking assays we found that domain III makes direct contact with two proteins (p170/p120) which can be associated with efficient IRES activity. In particular, we have mapped the binding sites of these proteins and shown that p120 binds to the apical loop segment of domain III, whilst p170 binds in the stem portion, independently of domain III position or context. Finally, we provide evidence showing that p170 and p120 represent two subunits of eukaryotic initiation factor eIF3: p170 and p116/p110.
Transform-Invariant Convolutional Neural Networks for Image Classification and Search

Convolutional neural networks (CNNs) have achieved state-of-the-art results on many visual recognition tasks. However, current CNN models still exhibit a poor ability to be invariant to spatial transformations of images. Intuitively, with sufficient layers and parameters, hierarchical combinations of convolution (matrix multiplication and non-linear activation) and pooling operations should be able to learn a robust mapping from transformed input images to transform-invariant representations. In this paper, we propose randomly transforming (rotation, scale, and translation) feature maps of CNNs during the training stage. This prevents complex dependencies of specific rotation, scale, and translation levels of training images in CNN models. Rather, each convolutional kernel learns to detect a feature that is generally helpful for producing the transform-invariant answer given the combinatorially large variety of transform levels of its input feature maps. In this way, we do not require any extra training supervision or modification to the optimization process and training images. We show that random transformation provides significant improvements of CNNs on many benchmark tasks, including small-scale image recognition, large-scale image recognition, and image retrieval.