Miracle-dz/UniFAR-FTUs huggingface dataset:
Üniversite Öğrencilerinde Kariyer Uyumluluğunun Yordanmasında Psikolojik İhtiyaçlar ve Azmin Rolü

Bu arastirmanin amaci universite ogrencilerinin kariyer uyumluluklarinin yordanmasinda psikolojik ihtiyaclar ve azmin rolunu incelemektir. Arastirma yordayici korelasyonel desene gore dizayn edilmistir. Yordayici korelasyonel arastirmalar degiskenler arasindaki iliskilerin incelenip, degiskenlerin birin-den yola cikilarak digerinin yordanmaya calisildigi arastirmalardir. Arastirmanin bagimli degiskeni kariyer uyumlulugu iken bagimsiz degiskenler psikolojik ihtiyaclarin alt boyutlarindan sevgi ve ait olma, guc, ozgurluk ve eglence ile azmin alt boyutlarindan gayrette israr ve ilginin tutarliligidir. Bu arastirma 2016-2017 egitim ogretim yili guz doneminde Gaziantep’te bulunan Hasan Kalyoncu Universitesi’nde egitim goren ogrenciler uzerinde gerceklestirilmistir. Calisma grubunun belirlenmesinde uygun ornekleme yontemi kullanilmistir. Calisma grubunda toplam 390 ogrenci yer almaktadir. Arastirma kapsaminda, arastirmaci tarafindan hazirlanan bilgi formu, Kariyer Uyum Yetenekleri Olcegi, Temel Psikolojik Ihtiyaclar Olcegi ve Kisa Azim Olcegi kullanilmistir. Kariyer uyumlulugunun yordanmasinda psikolojik ihtiyaclar ve azmin rolunun belirlenmesi amaciyla hiyerarsik regresyon analizi kullanilmistir. Analizin ilk asamasinda modele psikolojik ihtiyaclarin alt boyutlarindan sevgi, ozgurluk, guc ve eglence dâhil edilmistir. Analizin ikinci asamasinda ise modele azmin alt boyutlarindan gayrette israr dâhil edilmistir. Sevgi, ozgurluk, guc ve eglenceden olusan model kariyer uyumluluguna iliskin varyansin %41’ini aciklamaktadir. Analize ikinci blok olarak gayrette israr degiskeni dâhil edilmistir. Gayrette israr degiskeni %8’lik manidar (p<.01) bir katki saglamaktadir. Gayrette israrin modele eklenmesiyle kariyer uyumluluguna yonelik aciklanan toplam varyans %49’a yukselmistir.
Scale and density dependent relationships among roots, mycorrhizal fungi and collembola in grassland and forest

Belowground foodwebs, which dominate energy flow in temperate systems, may yield insights into general foodweb function: do consumers drive resource levels or simply respond to them? Controversy exists about the relationships among fine roots, mycorrhizal fungi and invertebrate grazers because of the difficulty of studying belowground processes. We used contrasting temporal scales to examine relationships among roots, fungi and collembola in the top 90 cm of soil in native grassland and forest over three years, with data collected from minirhizotrons. Root production was generally similar between habitats, but fungal production and collembola density were mostly significantly greater in forest than grassland. All variables decreased significantly with increasing depth, except for forest mycorrhizal fungi. This exception suggests that forest mycorrhizae are especially important for nutrient uptake at greater soil depths. Relationships among roots, mycorrhizal fungi and collembola varied with the temporal scale considered. Over the entire growing season, collembola were significantly positively correlated with root production in forest, and with both fungal and root production in grassland, reflecting the broad positive associations between these groups. In contrast, over the shortest sampling interval (i.e. two weeks), strong negative relationships suggested that collembola grazing decreased fungal and root production. Data from all dates and depths considered together revealed that both fungal and root production were significantly higher at intermediate collembola density than at low or very high density. In summary, belowground consumers appear to drive resource levels at short time scales, but respond to broad variation in resource availability at annual time scales.
Appearance-based Gaze Estimation Using Multi-task Neural Network

In order to improve the gaze estimation accuracy through using the information in the eye image more adequately, an appearance-based gaze estimation neural network EyeNet has been proposed in this article. On the one hand, by decomposing the main task into two subtasks, this network could gain more information during the training stage. On the other hand, EyeNet could extract features in the image more efficiently by adding an auxiliary task which is detecting the iris center and eye ball center of the eye. Experiments show that by using these two tricks, the error decreased from 5.42 degree to 5.16 degree.
LITERASI KEUANGAN PADA SISWA SEKOLAH DASAR DI KOTA DEPOK, PROVINSI JAWA BARAT, INDONESIA

Menurut Kementerian Pendidikan dan Kebudayaan, Indonesia, Pendidikan literasi keuangan sangat diperlukan untuk mendidik manusia sadar dan paham tentang bagaimana cara mengelola keuangan secara bijak. Pendidikan literasi keuangan harus diberikan sedini mungkin kepada anak terutama pada anak usia pra sekolah dan sekolah dasar. Studi dari University of Cambridge mengungkapkan bahwa anak-anak mulai membentuk kebiasaan finansial sejak usia 7 tahun. Oleh karena itu, penelitian ini melaksanakan serangkaian kegiatan literasi keuangan untuk siswa sekolah dasar, yaitu menonton video edukasi animasi, simulasi permainana monopoli ramah anak, simulasi menabung dan membuat anggaran, serta wisata edukasi ke Museum Bank Indonesia. Kegiatan literasi diharapkan mampu meningkatkan kecerdasan finansial anak. Penelitian ini menggunakan uji beda rata-rata statistik untuk menemukan apakah rangkaian kegiatan literasi finansial meningkatkan kecerdasan finansial atau tidak. Sebelum melakukan uji beda mean, dilakukan uji kenormalan data. Jika data tidak normal maka digunakan uji beda mean Wilcoxon. Hasil pengujian menunjukkan bahwa kegiatan literasi keuangan dapat meningkatkan kecerdasan siswa sekolah dasar. Kata kunci: Kecerdasan Finansial; Permaninan Monopoli Ramah Anak; Uji Beda Mean Wilcoxon. Abstract Based on Kementerian Pendidikan dan Kebudayaan Republik Indonesia, financial literacy education is needed to educate people to be aware and understand how to manage finances wisely. Financial literacy education must be given as early as possible to the children, especially in pre-school and elementary school. A study from the University of Cambridge results that the children begin to form the financial habits from the age of 7 years old. Therefore, this study conducted a series of financial literacy activities to elementary school students, namely watching animated education videos, simulating child-friendly monopoly game, saving simulations and making budgets, and educational tours to the Bank Indonesia Museum. Literacy activities are expected to increase children's financial intelligence. This study uses a statistical mean difference test to find out whether a series of financial literacy activities increase financial intelligence or not. Before conducting the mean difference test, a normality test is performed. If the data don’t spread normally then used the Wilcoxon mean different test. The test results show that financial literacy activities can improve the financial intelligence of elementary school students. Keywords: Financial Literacy; Child-Friendly Monopoly Game; Wilcoxon Mean Difference Test.
Bridge Deterioration Analysis Based on Censored Data: A Case Study in Yunnan Province

Bridge deterioration reflects the change of bridge condition and it is caused by many factors. Predicting bridge deterioration as a research problem has attracted increasing attention around the world. Most methods contrived in previous work and the results are satisfactory. Despite their considerable success, these methods are weighed down by some problems. First, nature environment and climate factors are not considered. Second, they neglected the existence of censored data. Censored data means that the event outcome of interest can’t be observed exactly because of some reasons. It is usual in bridge deterioration prediction and will cause deviation between the prediction result and the actual situation. In this paper, we propose a method to tackle the censored data issue and add nature environment and climate factors into deterioration analysis. This method uses an indicator variable to identify censored data in parameter estimation. In order to ensure the objectiveness of experiment, data collected from the Yunnan Communications Investment & Construction Group LTD are used in this study. Empirical results show that different structure and material of bridge may have different effect on bridge condition. In addition, we confirmed that nature environment and climate can affect the deterioration rate of bridge comparing with other factors in Yunnan Province. The bridges in the areas with moderate temperature and large precipitation may deteriorate more slowly. These findings are important for bridge management and maintenance.
Does species‐level resolution matter? Taxonomic sufficiency in terrestrial arthropod biodiversity studies

Taxonomic sufficiency, or the suitability of substituting higher level taxonomic designations as response variables in community ecology analyses, is important in biodiversity studies from practical and fundamental perspectives. While there are many studies of taxonomic sufficiency in aquatic systems, there are few studies with terrestrial arthropods that examine the effects of taxonomic resolution on the interpretation of multivariate community data. We analysed data sets from three major arthropod orders (Araneae, Coleoptera, and Lepidoptera) using multivariate methods to determine whether altering the level of taxonomic resolution (species, genus, or family) affected patterns in community composition and beta diversity under various forest disturbance treatments. Overall patterns of community composition and beta diversity did not differ across taxonomic levels; however, patterns in group structure and significance of treatment effects were often stronger at species and/or genus level. The similarity between the outcomes of multivariate analyses at different levels of taxonomic resolution was related to within‐group taxonomic ratios; results were less consistent across levels of taxonomic resolution in groups with higher taxonomic ratios (i.e. more species per genus). We conclude that higher levels of taxonomic resolution will be sufficient for detecting the impacts of disturbance in lineages of terrestrial arthropods with higher levels of phylogenetic constraint, although this does not negate the necessity and importance of species‐level identifications in situations with sufficient resources and where study questions demand alpha taxonomy.
A Neural Networks Approach to Detecting Lost Heritage in Historical Video

Documenting Cultural Heritage through the extraction of 3D measures with photogrammetry is fundamental for the conservation of the memory of the past. However, when the heritage has been lost the only way to recover this information is the use of historical images from archives. The aim of this study is to experiment with new ways to search for architectural heritage in video material and to save the effort of the operator in the archive in terms of efficiency and time. A workflow is proposed to automatically detect lost heritage in film footage using Deep Learning to find suitable images to process with photogrammetry for its 3D virtual reconstruction. The performance of the network was tested on two case studies considering different architectural scenarios, the Tour Saint Jacques which still exists for the tuning of the networks, and Les Halles to test the algorithms on a real case of an architecture which has been destroyed. Despite the poor quantity and low quality of the historical images available for the training of the network, it has been demonstrated that, with few frames, it was possible to reach the same results in terms of performance of a network trained on a large dataset. Moreover, with the introduction of new metrics based on time intervals the measure of the real time saving in terms of human effort was achieved. These findings represent an important innovation in the documentation of destroyed monuments and open new ways to recover information about the past.
Sliding Mode-Based Robustification of Consensus and Distributed Optimization Control Protocols

This article proposes a design approach, based on the integral sliding mode control paradigm, devoted to give robustness to multiagent systems executing arbitrary distributed optimization and consensus protocols which do not take this feature into account. Robustness is understood as the capability of rejecting the effect of exogenous disturbances, parameter uncertainties, and uncertain couplings between the agents dynamics, by achieving the same emerging behavior as that corresponding to a reference multiagent system (MAS) designed to achieve a given coordination objective in the nominal case. The proposed approach yields a distributed state feedback which can seamlessly be integrated into existing distributed optimization and cooperative control protocols which are usually prone to disturbances and uncertainties corrupting the MAS dynamics. Nonsmooth Lyapunov analysis supports the claimed properties. Numerical simulations, showing how popular distributed optimization and consensus protocols can effectively be robustified are discussed.
Systematic search for single nucleotide polymorphisms in a lymphoid tyrosine phosphatase gene (PTPN22): Association between a promoter polymorphism and type 1 diabetes in Asian populations

The protein tyrosine phosphatase, nonreceptor 22 gene (PTPN22) maps to human chromosome 1p13.3‐p13.1 and encodes an important negative regulator of T‐cell activation, lymphoid‐specific phosphatase (Lyp). Recently, the minor allele of a single‐nucleotide polymorphism (SNP) at nucleotide position 1858 (rs2476601, +1858C > T) was found to be associated with type 1 diabetes. However, the degree of the association is variable among ethnic populations, suggesting the presence of other disease‐associated variants in PTPN22. To examine this possibility, we carried out a systemic search for PTPN22 using direct sequencing of PCR‐amplified products in the Japanese population. Association and linkage studies were also conducted in 1,690 Japanese samples, 180 Korean samples, and 472 Caucasian samples from 95 nuclear families. We identified five novel SNPs, but not the +1858C > T SNP. Of these two frequent SNPs, −1123G > C, and +2740C > T were in strong linkage disequilibrium (LD), and the −1123G > C promoter SNP was associated with acute‐onset but not slow‐onset type 1 diabetes in the Japanese population (odds ratio [OR] = 1.42, 95% CI = 1.07–1.89, P = 0.015). This association was observed also in Korean patients with type 1 diabetes (Mantel–Haenszel χ2 = 6.543, P = 0.0105, combined OR = 1.41 95% CI = 1.09–1.82). Furthermore, the affected family‐based control (AFBAC) association test and the transmission disequilibrium analysis of multiplex families of European descent from the British Diabetes Association (BDA) Warren Repository indicated that the association was stronger in −1123G > C compared to +1858C > T. In conclusion, the type 1 diabetes association with PTPN22 is confirmed, but it cannot be attributed solely to the +1858C > T variant. The promoter −1123G > C SNP is a more likely causative variant in PTPN22. © 2006 Wiley‐Liss, Inc.
The Role of Teachers, Parents, and Friends in Developing Adolescents’ Societal Interest

ABSTRACT This article examines the role of teachers, parents, and friends in stimulating the development of societal interest among adolescents. It assesses the extent teachers can compensate for societal interest differences among adolescents that arise due to socioeconomic differences. The YeS panel study is used, with 587 students aged 13–18 assessed annually over a six-year period (2010–2015) and uses latent growth curve modeling (LGCM). Our findings indicate that awareness-raising by each of the three groups contributes to the development of societal interest among adolescents, with teachers being the most influential socializing agent. Teachers were more influential societal interest development among adolescents from less privileged homes, confirming our hypothesis that schools can compensate for societal interest differences.
Geographies of infrastructure II: Concrete, cloud and layered (in)visibilities

In this second progress report on infrastructure, I concentrate on the evolving infrastructures of our digital worlds, or ‘cloudfrastructures’. While there is an extensive literature in geography on the digital, less attention has been paid to its infrastructures. In this report I explore their relationships to other infrastructures, to nature, and to flow. I argue that paying attention to cloudfrastructures calls for new thinking on the axiom of (in)visibility in infrastructure studies, alerting us to (in)visibility as layered, multiple and orchestrated. Thinking of (in)visibility in this way also calls for an engagement with infrastructure beyond materiality.
Non-Orthogonal Multiple Access in Two-Hop Wireless Powered Communication Networks

This letter studies the resource allocation problem of sum rate maximization in wireless powered communication networks (WPCNs) with non-orthogonal multiple access (NOMA) that satisfy minimum data rate requirements per user. Firstly, we derive closed-form solutions for the time-splitting ratio and power allocation coefficients that maximize the approximated sum rate NOMA expression. Then, we use the solution of the approximated problem as the starting point for solving the original problem through Newton’s method. Simulation results show the effectiveness of the proposed approximation as well as the fast convergence of the optimal solution.
Identification of key career indicators in Portuguese football players

The aim of this study was to describe and identify the weight of some key career indicators (KCI) on the competitive level of retirement (professional vs. non-professional) of Portuguese football players. Three thousand five hundred retired Portuguese football players born between 1950 and 1989, and registered on Portuguese Football Federation were considered in this study. Descriptive analysis and a multivariable binary logistic regression model were performed to assess the relationship between the mastery stage development variables and the competitive level of retirement of football players. The results highlighted that the KCI first senior registration level, number of seasons in mastery stage, number of total games as senior player, number of total games in retirement season, and the age of the last best result achieved contribute to explain and predict the competitive level of retirement of Portuguese football players. The tendencies identified and their impact on the competitive level of retirement could be important implications on awareness and definition of management and support programs of players’ careers.
Responses of intensively grazed dairy pastures to applications of fertiliser nitrogen in south-western Australia

For the first time, we quantified pasture dry matter (DM) responses to applied fertiliser nitrogen (N) for intensively grazed, rain-fed, dairy pastures on sandy soils common in the Mediterranean-type climate of south-western Australia. The pastures are composed of subterranean clover (Trifolium subterraneum L.) and annual and Italian ryegrass (Lolium rigidum Gaud. and L. multiflorum Lam.). Six rates of N, as urea (46% N), were applied to 15 m by 15 m plots four times during 2002 and after each of the first 5–7 grazings in 2003 and 2004, throughout the typical April–October growing season. Total rates of N applied in the first year of the experiments were 0, 60, 120, 160, 200 and 320 kg N/ha, which were adjusted in subsequent years as detailed in the ‘Materials and methods’ section of this paper. The pastures in the experiments were rotationally grazed, by starting grazing when ryegrass plants had 2–3 leaves per tiller. The amount of pasture DM on each plot was measured before and after each grazing and was then used to estimate the amount of pasture DM consumed by the cows at each grazing for different times during the growing season. Linear increases (responses) of pasture DM to applied N occurred throughout the whole growing season when a total of up to 320 kg N/ha was applied in each year. No maximum yield plateaus were defined. Across all three experiments and years, on average in each year, a total of ~5 t/ha consumed DM was produced when no N was applied and ~7.5 t/ha was produced when a total of 200 kg N/ha was applied, giving ~2.5 t/ha increase in DM consumed and an N response efficiency of ~12.5 kg DM N/kg applied. As more fertiliser N was applied, the proportion of ryegrass in the pasture consistently increased, whereas clover content decreased. Concentrations of nitrate-N in the DM consistently increased as more N was applied, whereas concentrations of total N, and, therefore, concentration of crude protein in the DM, either increased or were unaffected by applied N. Application of N had no effect on concentrations of other mineral elements in DM and on dry matter digestibility and metabolisable energy of the DM. The results were generally consistent with findings of previous pasture N studies for perennial and annual temperate and subtropical pastures. We have shown that when pasture use for milk production has been maximised in the region, it is profitable to apply fertiliser N to grow extra DM consumed by dairy cows; conversely, it is a waste of money to apply N to undergrazed pastures to produce more unused DM.
Phenotypic variability in fish populations and its representation in individual-based models

Abstract The representation of individual variation in fish populations by individual-based simulation models is examined. A framework is provided for assessing the fundamental features of phenotypic variability and examples are given of variation in early life history traits of fishes. The genetic components of phenotypic variability and the pattern of covariation between life history traits are features that have yet to be satisfactorily represented in these models. This limits analysis of long-term effects of trait-biased mortality such as might be caused by a size-selective fishery. Consequences of neglecting these features will become increasingly evident as these models extend from young of the year to transgenerational configurations. The use of estimates of traits and processes derived from population- and species-level data in individual-based models is also considered. It is concluded that estimates from aggregated data cannot be assumed to represent individual-level processes. From these consid.
Screening of Chilean fish-killing microalgae using a gill cell-based assay

Fish-killing algal species are responsible for important global economic losses to the finfish industry. Chile is the world’s second-largest salmon exporter, and fish-killing algal blooms have widely impacted its production in the last decades. The lack of standardized analytical methods to quantify and characterize the so-called “ichthyotoxins” has hindered our understanding of the underlying ichthyotoxic modes of action. The novel application of a highly sensitive and reproducible fish RTgill-W1 cell line-based assay has allowed significant progress in the field. In this study, the ichthyotoxic potency of the main microalgae species, which has been reported in fish-killing events in the historical Chilean monitoring programs, was assessed. The dinoflagellate Karenia selliformis was the most ichthyotoxic species against the RTgill-W1 (cell viability down to 8%), representing the major threat for the local salmon industry. In comparison, the raphidophyte Heterosigma akashiwo and the dinoflagellate Prorocentrum micans were the least toxic (gill cell viability down to 81 and 89%, respectively). Importantly, ichthyotoxic flagellates were more toxic to fish gill cells upon rupture. These results have important implications for the mitigation and management of algal blooms by the salmon industry.