Miracle-dz/UniFAR-FTUs huggingface dataset:
Pemanfataan Teknologi Informasi dan Komunikasi (TIK) dalam Pembelajaran Matematika

UTILIZATION OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) IN MATHEMATICS LEARNING. The aims of this study are (1) to explain the definition of Information and Communication Technology (ICT); (2) to explain the importance of ICT used in Mathematics Learning; (3) to describe how much ICT used in Mathematics Learning in indoensia; (4) to elaborate the positive and negative effects of implementing ICT used in Mathematics learning. The methods used are literature review and description of interviews to educators and learners in the field of mathematics education. Information and Communication Technology is an electronic equipment consisting of hardware and software as well as any activities related to processing, manipulation, management, and transfer of information between media. It has has a function to produce quality and communicative information. In Indonesia, the use of Information and Communication Technology is still in integrating level, shown by the use of technology in learning. The utilization of information technology, in addition to efforts to overcome the technical problems of learning as a learning medium, as well as an effort to answer the substantial problem of learning as a source of teaching and encourage computer literacy acceleration in Indonesian society.
Human Interface Dataset List Interface Scatterplot Interface S 2 S 1 S 3 Bill Clinton George

We challenge a common assumption in active learning, that a list-based interface populated by informative samples provides for efficient and effective data annotation. We show how a 2D scatterplot populated with diverse and representative samples can yield improved models given the same time budget. We consider this for bootstrapping-based information extraction, in particular named entity classification, where human and machine jointly label data. To enable effective data annotation in a scatterplot, we have developed an embeddingbased bootstrapping model that learns the distributional similarity of entities through the patterns that match them in a large data corpus, while being discriminative with respect to human-labeled and machine-promoted entities. We conducted a user study to assess the effectiveness of these different interfaces, and analyze bootstrapping performance in terms of human labeling accuracy, label quantity, and labeling consensus across multiple users. Our results suggest that supervision acquired from the scatterplot interface, despite being noisier, yields improvements in classification performance compared with the list interface, due to a larger quantity of supervision acquired.
Consumer Acceptance of Mobile Marketing: An Empirical Study on the Saudi Female

This paper examines the factors that influence mobile marketing acceptance among female Saudi consumers. A survey was conducted using an electronic and self-administered questionnaire. A total of 300 questionnaires were distributed. The valid questionnaires were 226; thus the response rate is 0.75. This study examines the following factors: providing information, content sharing, content access, personal attachment, and perceived value as independent factors. The mobile marketing acceptance was the dependent factor. Results of the study indicate there is a high association between study variables and mobile marketing acceptance. Conclusion, study limitation, and future studies were provided.
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine

The possibility of employing restricted Boltzmann machine (RBM) for collaborative filtering has been known for about a decade. However, there has been hardly any work on this topic since 2007. This work revisits the application of RBM in recommender systems. RBM based collaborative filtering only used the rating information; this is an unsupervised architecture. This work adds supervision by exploiting user demographic information and item metadata. A network is learned from the representation layer to the labels (metadata). The proposed label consistent RBM formulation improves significantly on the existing RBM based approach and yield results at par with the state-of-the-art latent factor based models.
Cognitive-Behavioral and Pharmacological Treatment for Social Phobia: A Meta-Analysis

We conducted a meta-analysis using all available controlled treatment outcome studies of cognitive-behavioral and pharmacological treatments for social phobia (N= 24 studies, N= 1079 subjects). The mean social anxiety effect size for cognitive-behavioral treatments was . 74 and for pharmacological treatments was . 62. Both were significantly different from zero and the difference between them was not significant. Among cognitive-behavioral treatments, exposure-interventions yielded the largest effect size (ES) whether alone (ES = .89) or combined with cognitive restructuring (ES = .80). Selective serotonin reup-take inhibitors (ES = 1.89) and benzodiazepines (ES = .72) yielded the largest effect sizes for pharmacotherapy. According to cost projections, group cognitive-behavioral treatment offered the most cost-effective intervention.
Pregnancy depresses milk yield in Dairy Buffaloes

Abstract This paper reports the decline in milk production of buffaloes after getting conceived. The experimental buffaloes were selected in NWF province of Pakistan. Complete milk yield records for 48 weeks of lactation were obtained for 465 pregnant and 179 non-pregnant buffaloes. Model-1 to 3 were used to find out the factors affecting milk yield reduction due to pregnancy. Model 4 was used to modulate milk yield reduction with the onset of pregnancy at medium sized private farms comprising lactation records of 40 buffaloes. The data indicate that post-conception reduction in milk yield was earlier in the buffaloes that conceived during 11-28 weeks of lactation, followed by those conceived during 29-36 and 37-48 weeks of lactation respectively. Noticeable reduction in milk yield was found during 3rd, 5th and 6th month of pregnancy in the animals conceiving at earlier, mid or later stages of lactation. Initially the milk yield in pregnant animals increased up to 2 months post-conception and then decreased at an almost constant rate. The reduction was visible after 5th week post-conception. The decline in milk with advancement pregnancy was slight up to a point which we declared as joining point; thereafter the decline was much greater.
A socio-cultural analysis of the transition from school to university mathematics

This research project investigates first year mathematics students' transition from school to university mathematics. I focussed my attention on the messages that students receive from their lecturers during the teaching and learning of mathematics at this level. By decomposing each transmitted message into the underlying structures of power and control that it carries I investigated in what ways these affect students' adjustment to the new context. In order to examine students' interactions with the messages I took into account their previous experiences while working with mathematics. The results of the study reveal a direct influence of the degree of power and control of the transmitted messages on students' adjustment. This influence is highly dependent on students' interpretations of the messages which are mediated through their identities as mathematics learners. With this work I approached the secondary-tertiary transition as a multifaceted process which accounts for the development of students' identities as mathematics learners while they interact with the transmitted messages and try to position themselves in the new context.
Cancer immu n otherapy for hepatocellular carcinoma

Most hepatocellular carcinomas (HCCs) arise on a background of chronically inflamed liver, and thus are considered typical immunogenic cancers. Although there have been advances in treatment options for HCC, many patients still struggle with a limited chance of survival requiring further innovative approach. Especially for the advanced HCC, many other molecular targeted therapies had been evaluated without success. Based on the immunological mechanisms thought to be acting during HCC development, the effects of diverse immunomodulatory regimens such as therapeutic vaccination, immune checkpoint inhibitors, and adoptive cellular immunotherapy have been investigated. Notably, many strategies have been developed in adoptive cellular immunotherapy, including dendritic cells, cytotoxic T cells, natural killer cells, cytokine-induced killer (CIK) cells, and genetically engineered T cells. In recent clinical trials, adjuvant CIK cell immunotherapy increased progression free survival after curative treatment of HCC. Most recently, new immunomodulatory agents were introduced for oncological treatment, eventually leading to the clinical breakthrough of checkpoint inhibitors targeting cytotoxic T lymphocyte antigen-4 (CTLA-4) and programmed cell death-1 (PD-1). To date, very promising published evidence with checkpoint inhibitors in HCC has been reported in the clinical trials with anti-CTLA-4 agent tremelimumab and a large phase II trial with anti-PD-1 agent nivolumab. Further investigations of immuno-oncology potentially popularized the applications of immunotherapy in the various stages of HCCs, and thus immune-based therapies are the promising innovative approach for patients with HCC. Hopefully, the immuno-oncology will bring about a paradigm shift of anti-cancer treatment for HCC.
Human capital and longevity. Evidence from 50,000 twins

Why do well-educated people live longer? We use unique and high-quality data on about 50,000 monozygotic and same-sex dizygotic twins, born between 1886-1958, to address this question. We demonstrate a positive and statistically signiÂ…cant relation between years of schooling and longevity, which remains when we exploit the twin design. This result is robust to controlling for speciÂ…c within-twin-pair differences in early life factors, such as birth weight and proxies for ability and health in the form of body height, as well as to restricting the sample to monozygotic twins.
ECONOMIC GROWTH AND MACROECONOMIC DYNAMICS IN NIGERIA

Purpose. The role of macroeconomic variables in shaping the economic status has been debated in the literature. The management of these factors has been epileptic and sometimes contradictory with consequential implications for sustainable economy. This study therefore examined the relative significance of macroeconomic factors (inflation rate, interest rate, exchange rate and unemployment rate) on current national income. In addition, it sought to ascertain the relative importance of prior income (past GDP) on current national income (current GDP) based on data obtained between 1975 and 2015. Methodology. The study deployed pre-estimation descriptive statistics and stationarity tests using the Augmented Dickey Fuller test and Phillip Perron tests. Johansen cointegration test was applied for establishing the long run relationship of the variables. The final phase is the post estimation tests to confirm the robustness of the estimated model. These are the Breusch-Godfrey test to check for any form of auto correlation among the variables, the heteroskedasticity test and the Impulse Response analysis of the dependent variable with respect to shocks in the explanatory variables. Findings. The result findings revealed that inflation contributes negatively to economic growth. Interest rate, exchange rate and unemployment impact economic growth positively. The entire explanatory variables have no short-run effect. The result of the Breusch-Godfrey LM and Breusch-Pagan-Godfrey test indicated the absence of serial correlation and heteroscedasticity respectively. In effect, by itself, macroeconomic stability does not guarantee sustainable high rates of economic growth in the absence of key institutional and structural measures. The study recommended diversification of the economy and the use of inflation targeting which would be commensurate with the level of economic growth should be pursued by policy makers Limitations. This research examined the impact of the various macroeconomic variables on the economy over a period of 41 years. A structural break analysis of the impact before and after major policy shifts like Structural Adjustment Programme (1986), Financial Sector reform (2004), Global Financial Crisis (2007 2008) etc. should be explored by new studies. Originality. This study is an original work. It has not been published in any other journal and is not being considered for publication by another channel
Localization parameters for two interacting particles in disordered two-dimensional lattices

In two dimensional disordered lattices, presence of interaction makes particles less localized than the non-interacting ones within the range of disorder strength W ≤ 4 and interaction strength V ≤ 4. If the interaction strength is higher, then particles localize more. Although, a localizationdelocalization transition is not found, a transition with changes in the dominant correlations is observed. The nature of correlations between the particles as nearest neighbors become dominant beyond certain disorder strengths.
One thousand jaguars ( Panthera onca ) in Bolivia's Chaco? Camera trapping in the Kaa-Iya National Park

This paper reports on efforts to trap jaguars Panthera onca on camera in the dry forests of the Kaa-Iya del Gran Chaco National Park in Bolivia. Ad hoc camera trapping provided certain information on jaguar presence and habits, but was limited in application. Activity patterns showed that jaguars are active all day, particularly at one of three sites, with peaks in the morning and evening the more common pattern. Minimum observed home range was variable, with males (up to 65 km 2 ) occupying more area than females (up to 29 km 2 ). The authors adapted systematic methodologies first developed to survey tigers in India, based on individually distinctive pelage patterns in tigers and jaguars. Abundance is estimated using capture–recapture statistical analysis, and a sample area defined based on the maximum distance that individual jaguars move during the sample period. The methodology has proved successful for jaguars in dry Chaco forest, population densities of 1/30–45 km 2 and 1/20 km 2 are estimated in the two most extensive landscape systems of Kaa-Iya. The entire 34 400 km 2 protected area is estimated to sustain a population of over 1000 adult and juvenile jaguars, the largest single population of jaguar reported anywhere, and a viable population for long-term jaguar conservation.
Data-Driven Discovery of Closure Models

Derivation of reduced order representations of dynamical systems requires the modeling of the truncated dynamics on the retained dynamics. In its most general form, this so-called closure model has to account for memory effects. In this work, we present a framework of operator inference to extract the governing dynamics of closure from data in a compact, non-Markovian form. We employ sparse polynomial regression and artificial neural networks to extract the underlying operator. For a special class of non-linear systems, observability of the closure in terms of the resolved dynamics is analyzed and theoretical results are presented on the compactness of the memory. The proposed framework is evaluated on examples consisting of linear to nonlinear systems with and without chaotic dynamics, with an emphasis on predictive performance on unseen data.
On the exact multiplicity of stable ground states of non-Lipschitz semilinear elliptic equations for some classes of starshaped sets

Abstract We prove the exact multiplicity of flat and compact support stable solutions of an autonomous non-Lipschitz semilinear elliptic equation of eigenvalue type according to the dimension N and the two exponents, 0 < α < β < 1, of the involved nonlinearites. Suitable assumptions are made on the spatial domain Ω where the problem is formulated in order to avoid a possible continuum of those solutions and, on the contrary, to ensure the exact number of solutions according to the nature of the domain Ω. Our results also clarify some previous works in the literature. The main techniques of proof are a Pohozhaev’s type identity and some fibering type arguments in the variational approach.
The Relationship of Positive Affect with Resilience and Self-Efficacy in Life Skills in Italian Adolescents

The main purpose of this study was to analyze the relationships of positive affect with dimensions of resilience and perceived self-efficacy in life skills in a sample of 147 Italian healthy adolescents. We used the Positive and Negative Affect Schedule (PANAS), the Resiliency Attitudes and Skills Profile (RASP), and the Perceived Self-Efficacy Scales in Life Skills. Statistical analyses indicated that adolescents with high positive affect reported higher levels of perceived self-efficacy in life skills than those with low positive affect; in addition, adolescents with high positive affect reached higher levels of resilience (that is, adaptability and engagement) than those with low positive affect. Given the relationship of positive affect both with dimensions of resilience and perceived self-efficacy in life skills, future investigations could better understand the functioning of protective factors actively engaged in facing up to the transition from childhood to adolescence, in line with the flourishing approach in supporting the promotion of psychological well-being and the increasing of individual’s bio-psycho-social skills.
SAMPLE PATH LARGE DEVIATIONS FOR SIRS EPIDEMIC PROCESSES

We study infection spread in continuous time SIRS epidemic models. When infection is supercritical, the proportions of susceptible and infected individuals in the population tend to stabilize near an endemic level with positive proportion of infected individuals for a long time. The event when all of the infected individuals recover without introducing new infections into the population is a large deviations event for the scaled SIRS processes. We prove sample path large deviations principle for this problem.
Suction effects in deep Boom Clay block samples

Extensive investigations have been and are being carried out on a stiff clay from an underground research laboratory located at Mol (Belgium) called Boom clay, in the context of research into deep nuclear waste disposal. Suction effects in deep Boom clay block samples were investigated through the characterisation of the water retention and of the swelling properties of the clay. The data obtained allowed an estimation of the sample initial suction that was reasonably compatible with the in-situ state of stress at a depth of 223 m. The relationship between suction and stress changes during loading and unloading sequences were also examined by running oedometer tests with suction measurements. A rather wide range of the ratio s/σ'v (being s the suction and σ'v the effective vertical stress) was obtained (0.61 - 1), different from that proposed by Bishop et al; (1974). Finally, the effect of suction release under an isotropic stress close to the estimated sample suction was investigated. A slight swelling (1.7%) was observed and further compression provided a satisfactory value of the overconsolidation ratio confirming the suggestions of taking some precautions before putting a swelling sample in contact with water as suggested by Graham et al. (1987). The various experimental data gathered in this study finally evidenced a relatively good state of conservation of the block sample used.
Organizational Climate in Early Childhood Education

Organizational climate is a concept that may affect individual behaviors, attitudes and well-being in organizational life as well as explain why some organizations are more productive, effective, innovative and successful than others. The concept has been investigated in many disciplines such as sociology, psychology, anthropology, political science, and management for years and was first considered in education at the end of the 1960s. Since then it has been researched in the field of education in many studies. In this paper, the organizational climate of early childhood centers is examined according to the opinions of early childhood teachers. The Early Childhood Work Environment Scale was used to obtain the data. Participants were a total of 214 teachers who work in public early childhood centers in an urban school district of Turkey. Teachers reported on their opinions of ten components of organizational climate: Collegiality, professional development, director support, clarity, reward system, decision making, goal consensus, task orientation, physical setting, and innovativeness. Results showed that collegiality is at the highest level among the components and the most negative opinion was expressed for the professional development component of the organizational climate. The findings are discussed in the light of the related literature. Suggestions for educators, researchers and decision makers are provided.
FORMING DOUBLE-BARRED GALAXIES FROM DYNAMICALLY COOL INNER DISKS

About one-third of early-type barred galaxies host small-scale secondary bars. The formation and evolution of such double-barred (S2B) galaxies remain far from being well understood. In order to understand the formation of such systems, we explore a large parameter space of isolated pure-disk simulations. We show that a dynamically cool inner disk embedded in a hotter outer disk can naturally generate a steady secondary bar while the outer disk forms a large-scale primary bar. The independent bar instabilities of inner and outer disks result in long-lived double-barred structures whose dynamical properties are comparable to those in observations. This formation scenario indicates that the secondary bar might form from the general bar instability, the same as the primary bar. Under some circumstances, the interaction of the bars and the disk leads to the two bars aligning or single, nuclear, bars only. Simulations that are cool enough of the center to experience clump instabilities may also generate steady S2B galaxies. In this case, the secondary bars are “fast,” i.e., the bar length is close to the co-rotation radius. This is the first time that S2B galaxies containing a fast secondary bar are reported. Previous orbit-based studies had suggested that fast secondary bars were not dynamically possible.
Inovasi Produk dan Keunggulan Bersaing: Pengaruhnya terhadap Kinerja Pemasaran (Studi pada Usaha Nasi Kuning di Kelurahan Batu Meja Kota Ambon)

ABSTRAKKinerja Pemasaran merupakan salah satu indicator untuk mengukur keberhasilan dan kesuksesan pengelolaan suatu usaha. Semakin baik kinerja pemasaran usaha menunjukan keberhasilan dalam menghadapi persaingan. Inovasi produk dan keungggulan produk merupakan variabel-variabel yang diyakini mampu untuk meningkatkan kinerja pemasaran, terutama bagi usaha mikro kecil dan menengah (UMKM) di bidang kuliner seperti usaha nasi kuning terutama di Kelurahan Batu Meja.Tujuan dari penelitian ini adalah untuk menguji pengaruh langsung variabel inovasi produk dan keunggulan bersaing terhadap kinerja pemasaran usaha nasi kuning. Jumlah sampel yang diikutsertakan dalam penelitian ini adalah 50 responden, serta menggunakan judgement sapling sebagai teknik pengambilan sampel. Selanjutnya, Teknik analisa data menggunakan Analisa Regresi Berganda.Hasil penelitian menunjukan bahwa inovasi produk melalui penciptaan produk-produk pendukung yang baru mampu menaikan kinerja pemasaran. Selanjutnya keunggulan bersaing dengan indicator kondisi keuangan yang baik dan kualitas serta rasa produk yang unggul semakin meningkatkan kinerja pemasaran usaha nasi kuning.Kata kunci: Inovasi Produk, Keunggulan Bersaing, Kinerja Pemasaran .