Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of High Palaeoproductivity on the Ecological Function and Test of Foraminifera in the Equatorial Pacific Ocean during the PETM

Biological Trait Analysis (BTA) has been used to examine the effect of high ocean productivity on the ecological functioning and foraminiferal preservation at the PETM section of ODP site 1215A, Northeast Pacific Ocean. The faunal composition of the studied section indicated a foraminiferal assemblage associated with severe ecological disturbance due to the dominance of opportunistic taxa such as Abyssamina quadrata, Nuttallides truempyi, Tappanina selmensis, P.pleurostomelloides, Quadrimorphina profunda, Bulimina midwayensis and Bulimina tuxpamensis. Over 20 species of benthic foraminifera went into extinction during the PETM at ODP site 1215A. The results from the foraminifera trait analyses suggest that taxa with elongate and bi/triserial tests were the most resilient to the acidification of the ocean as most these taxa increased in abundance during the CIE while taxa with complex apertures and coarse-perforation tend to most vulnerable. Ocean acidification resulting from high productivity also led to the loss of ornamentation in benthic foraminifera as shown by high prevalence of taxa with no ornament. There was no order in the nmMDS ordination of both taxonomic and trait composition of the recovered foraminifera suggesting continual environmental perturbation across the studied section. The scanning electron microscope (SEM) image of some recovered foraminifera revealed evidence of dissolution/etching, extreme recrystallization and secondary calcite cementation on the test. The amount of coccoliths incorporated on the test of some deep infauna species requires further investigation to understand if some foraminiferal taxa construct their test in the dual process of secreting hyaline calcite and incorporation of coccolith plates by agglutinating processes in the later stage of their life history.
North American Branchiobdellida (Annelida: Clitellata) or Crayfish Worms in France: the most diverse distribution of these exotic ectosymbionts in Europe

Crayfishes and other invertebrates were collected during 2010 to 2016 from 519 sites located in the river basins of the Adour, Charente, Dordogne, Garonne, Loire, Seine, Rhône and Sélune in France. North American species included Pacifastacus leniusculus at 255 sites, Faxonius limosus at 206 sites, Procambarus clarkii at 56 sites, and the endemic Austropotamobius pallipes at two sites. However, branchiobdellidans were only recorded from 100 sites with 23 of these being sampled more than once, resulting in a total of 127 collections. The widely distributed western North American, P. leniusculus carried four of its endemic branchiobdellidan species: Cambarincola gracilis, C. okadai, Triannulata magna and Xironogiton victoriensis. X. victoriensis was found at the majority of sites, with C. okadai, C. gracilis, and T. magna at fewer locations. Although F. limosus was the second most numerous crayfish species collected, it did not carry any of its endemic North American branchiobdellidan species. However, it was found cohabiting with P. leniusculus at four sites but carried X. victoriensis at only one of these. European A. pallipes only occurred at two sites with individuals harboring X. victoriensis, although no cohabiting exotic crayfish were found. Crayfish were also absent from three sites where free-living X. victoriensis were recovered from substrate samples. Procambarus clarkii appeared at sites scattered across the country, while specimens with C. mesochoreus were restricted to the Adour drainage. This study has shown the widespread distribution of exotic branchiobdellidans in the wild and the virtual extinction of endemic species in France. In addition, we have provided the first European record of T. magna, and the first record of C. mesochoreus in France; the latter being only the second recording in Europe. With this comprehensive survey of their crayfish hosts in France, monitoring future exotic range expansions and endemic contraction or extinction can be traced. These data will be available to authorities for future planning in maintaining healthy freshwater bodies by reducing the damaging effects caused by exotic crayfishes.
A Comparative Study on the Biomechanics of the Native Human Knee Joint and Total Knee Arthroplasty

Functional outcome after total knee arthroplasty is determined by strength, stability and range of motion. Flexion in the replaced knee is suboptimal for many patients and kinematics after total knee arthroplasty is abnormal. The relation between kinematics of the replaced knee and postoperative exion is analysed and compared to normal knee kinematics. Specic characteristics that relate to better exion are dened: posterior condylar offset, femoral rollback and external femoral rotation during exion relate to a better post-operative range of motion. A rationale for a guided motion knee arthroplasty is developed and positioned within the current state of the art knowledge on total knee arthroplasty.
Enhanced properties of PAN‐derived carbon fibres and resulting composites by active screen plasma surface functionalisation

Advanced active screen plasma (ASP) technology is used to modify polyacrylonitrile ‐ derived carbon fibre (CF) surfaces using gas mixtures of N 2 – H 2 and N 2 – H 2 – Ar. Unlike conventional plasma treatments, ASP treatment can reduce the structural disorder of CF surfaces and increase the surface crystallite size. Moreover, ASP treatment can lead to an increased single fibre tensile strength. This is mainly because the post ‐ plasma nature of the ASP technology can effectively eliminate ion ‐ bombardment ‐ induced degradation while providing radicals necessary for surface modification. The addition of argon to the nitrogen – hydrogen gas mixture contributes to a more ordered graphitic structure on CF surfaces and further increases the single fibre tensile strength. The interfacial properties (interlaminar shear strength and flexural strength) of the resulting composites are improved.
Gender and White Collar Crime – Implications for Corrections Research and Practice

ABSTRACT The last couple of decades have seen a considerable increase in the number of studies that have examined the risk/need factors of individuals under correctional supervision and the validity of risk assessments that stemmed from RNR model. Empirical research has examined these factors with populations of different gender, ethnicity, and offense type. However, few articles to date have studied the risk/need factors of individuals that are under correctional supervision for engaging in white-collar crime. The current article discusses the empirical findings of the Benson & Harbinson (current issue), Goulette (current issue), and Ruhland & Selzer (current issue), three articles that have explored the risk/need factors of individuals involved in white-collar offenses, and gender differences in these same populations. Findings from the articles point out that individuals involved in white-collar crime display lower average risk scores than individuals engaging in common offenses. While the risk/need factors among white-collar and general offense populations appear similar, results show that individuals engaging in white-collar crime could exhibit risk/needs differently from general crime populations. Additionally, the findings from the current three articles do not seem to offer support for the gendered pathways to crime approach. The current article discusses how these empirical findings related to the RNR model of correctional supervision and offers directions for future research.
The Role of Translation Control in Tumorigenesis and Its Therapeutic Implications

As a convergent mechanism downstream of most oncogenic signals, control of mRNA translation has emerged as a key driver in establishing and tuning gene expression at specific steps in cancer development. Translation control is the most energetically expensive molecular process in the cell that needs to be modulated upon adaption to limited cellular resources, such as cellular stress. It thereby serves as the Achilles’ heel for cancer cells, particularly in response to changes in the microenvironment as well as to nutrient and metabolic shifts characteristic of cancer cell growth and metastasis. In this review, we discuss emerging discoveries that reveal how cancer cells modulate the translation machinery to adapt to oncogenic stress, the mechanisms that guide mRNA translation specificity in cancer, and how this selective mode of gene regulation provides advantages for cancer progression. We also provide an overview of promising preclinical and clinical efforts aimed at targeting the unique vulnerabilities of cancer cells that rely on the remodeling of mRNA translation for their infinite growth and survival.
Individual Specialization and Multihost Epidemics: Disease Spread in Plant-Pollinator Networks

Many parasites infect multiple species and persist through a combination of within- and between-species transmission. Multispecies transmission networks are typically constructed at the species level, linking two species if any individuals of those species interact. However, generalist species often consist of specialized individuals that prefer different subsets of available resources, so individual- and species-level contact networks can differ systematically. To explore the epidemiological impacts of host specialization, we build and study a model for pollinator pathogens on plant-pollinator networks, in which individual pollinators have dynamic preferences for different flower species. We find that modeling and analysis that ignore individual host specialization can predict die-off of a disease that is actually strongly persistent and can badly over- or underpredict steady-state disease prevalence. Effects of individual preferences remain substantial whenever mean preference duration exceeds half of the mean time from infection to recovery or death. Similar results hold in a model where hosts foraging in different habitats have different frequencies of contact with an environmental reservoir for the pathogen. Thus, even if all hosts have the same long-run average behavior, dynamic individual differences can profoundly affect disease persistence and prevalence.
Evaluation of Sonoelastography Compatibility on the Achilles Tendon Between Different Devices and Observers

Aim: To investigate the reliability of sonoelastography by comparing the Achilles tendon strain ratio obtained in healthy volunteers by different observers with different sonoelastography devices working on the same principle. Material and Methods: A total of 80 Achilles tendons in 40 volunteers without chronic disease were evaluated using Toshiba and Hitachi devices using real-time elastography principle. The Kager fat pad was selected for strain ratio measurement. Each tendon was evaluated with both devices twice by both observers. The intraobserver and interobserver agreement were examined by intraclass correlation coefficient (ICC) obtained by two-way mixed ANOVA model for absolute agreement and interpreted as Ko and Li (11) suggested. Results: Interobserver agreement in the first and second measurements of the Hitachi device and in the second measurements of the Toshiba device was found to be good (average ICC>0.75). The interobserver agreement in the first measurements made on the Toshiba device was found to be lower (average ICC=0.729, p<0.001). The intraobserver agreement was found to be excellent (ICC>0.90) for both device. The interobserver agreement for the Toshiba device was found lower than for the Hitachi device. Mean strain ratio was 2.96±1.07 for the Hitachi device and 3.54±1.03 for the Toshiba device. Measurements obtained from the Toshiba device were determined as significantly higher than those from the Hitachi device. Conclusion: There may be differences in strain rates depending on the compression application limits of the devices, in studies carried out using different devices. Therefore, intraobserver and interobserver agreement should be evaluated separately for each device.
Dissection of demethylation and toxicity induced gene expression changes after decitabine treatment

The DNA methyltransferase inhibitor decitabine (DAC) is a widely used drug for both fundamental epigenetics studies and anti-cancer therapy. Besides DNA demethylation, DAC also induces cell toxicity associated with DNA damage. The dual-mode of DAC action on cells provides a significant hurdle to study genes which expression is regulated by CpG methylation. In this work, we performed the analysis of global DNA methylation levels in cultured cancer cells after treatment with increasing doses of DAC and have found the U-shaped curve of the de-methylation efficacy induced by the drug. Specifically, high doses of DAC induced significantly lower DNA hypomethylation as compared to hundred-fold less concentrated doses. At the same time, the impact of DAC on cell viability was dose-dependent. These findings allowed dissecting the demethylation and the cell toxicity impact of DAC on gene expression in subsequent mRNA-seq experiments. Surprisingly, the number of genes that were upregulated due to DNA hypomethylation was comparable to the number of genes induced by DAC toxicity. Furthermore, we show that high DAC concentrations induce downregulation of housekeeping genes which are most widely used for RT-qPCR normalization (including GAPDH, actin and tubulin). The latter suggests that genes unaffected by DAC treatment would manifest themselves as upregulated when their expression is normalized on a downregulated housekeeping reference. Finally, we show that expression of most human oncogenes and tumor-suppressor genes remains unaffected after DAC treatment, and only a few of them were upregulated due to DNA hypomethylation. Our work stresses the importance of closely studying the correlation of the degree of DNA demethylation induced by varying doses of DAC with changes in gene expression levels to avoid erroneous conclusions regarding epigenetic silencing of a gene.
PENERAPAN TEACHING FACTORY TERHADAP HASIL BELAJAR SISWA KELAS XI PADA MATA PELAJARAN LAS BUSUR MANUAL (SMAW) JURUSAN TEKNIK LAS SMK NEGERI 3 GOWA

ABSTRAK Abstrak, Mahmud Rayyan, 1222041022. Penerapan Teaching Factory Terhadap Hasil Belajar Siswa Kelas XI Pada Mata Pelajaran Las Busur Manual (SMAW) Jurusan Teknik Las SMK Negeri 3 Gowa: Fakultas Teknik Universitas Negeri Makassar, 2019. Dibimbing oleh Rusli Ismail, dan Amiruddin. Penelitian ini bertujuan untuk mengetahui pengaruh Penerapan Teaching Factory (TEFA) terhadap Hasil Belajar Siswa Kelas XI Pada Mata Pelajaran Las Busur Manual (SMAW) Jurusan Teknik Las SMK Negeri 3 Gowa. penelitian ini adalah penelitian korelasional dengan pendekatan Ex-Post Facto karena data yang diperoleh adalah data hasil dari peristiwa yang sudah berlangsung. Populasi yang digunakan dalam penelitian ini adalah siswa Jurusan Teknik Las SMK Negeri 3 Gowa. Sampel dalam penelitian ini adalah siswa Kelas XI Jurusan Teknik las SMK Negeri 3 Gowa Teknik yang telah Mendapatkan Model Pembelajaran Teaching Factory yang berjumlah 66 orang yang dipilih menggunakan teknik Non-probability yaitu Purposive Sampling. Dalam penelitian ini teknik pengumpulan data yang digunakan yaitu angket dan dokumentasi. Teknik analisis data yang digunakan adalah analisis deskriptif, uji prasyarat analisis dengan menggunakan uji normalitas dan uji linearitas, dan uji hipotesisnya menggunakan analisis regresi sederhana. Hasil penelitian menunjukkan bahwa terdapat pengaruh positif Penerapan Teaching Factory (TEFA) terhadap Hasil Belajar Siswa Kelas XI Pada Mata Pelajaran Las Busur Manual (SMAW) JurusanTeknik Las SMK Negeri 3 Gowa namun tidak signifikan atau sangat kecil bahkan dapat dikatakan tidak memiliki pengaruh, yang ditunjukkan dengan koefisien korelasi (R) yang bernilai positif yaitu 0,004 dan harga koefisien determinasi (R2) X terhadap Y sebesar 0,000. Hal ini menunjukkan bahwa variabel Teaching Factory memiliki kontribusi terhadap Hasil Belajar Siswa Kelas XI Pada Mata Pelajaran Las Busur Manual (SMAW) Jurusan Teknik Las SMK Negeri 3 Gowa sebesar 0,000% sedangkan 100% ditentukan oleh variabel lain yang tidak diteliti. Kata kunci: Teaching Factory, Hasil Belajar, Las, (SMAW)
Black Students’ College Preferences: The Role of the White Racial Frame in Perpetuating Integration

Much research has found support for the perpetuation hypothesis, which predicts that the racial contexts that youth grow up in direct them into analogous situations and institutions in their futures. However, there is a lack of qualitative research that examines how Black students make meaning of their high school racial context when making their college application decisions. Drawing upon interviews and observational data with 48 Black students at two racially diverse high schools, I examine Black students’ college preferences to understand the mechanisms behind integration perpetuation. My data show that Black students vary in how they make meaning of their high school contexts. In contrast to the predictions of the perpetuation hypothesis, some embrace the idea of attending historically Black colleges and universities (HBCUs); however, others want to attend diverse colleges like their high schools. I highlight how the white racial frame, embedded within the context of racially diverse high schools, may influence college racial composition preference.
Finding the Global Minimum of the General Quadratic Problems During Deterministic Global Optimization in Cyber-Physical Systems

: Cyber-Physical Systems (CPS) are integrations of computation and physical processes. We consider effective computations for designing difficult systems. In this paper, we propose new method of exact quadratic regularization for deterministic global optimization (EQR). This method can be used for the solution of a wide class of multiextreme problems, in particular, general quadratic problems. These problems will be transformed to maximization of norm a vector on convex set. The convex set is approximated by a polyhedron or intersection of balls. We offer the modified dual problem for maximization of norm a vector on intersection of balls. It allows to receive the solution of a primal problem. We use only local search (primal-dual interior point method) and a dichotomy method for search of a global extremum in the general quadratic problems.
Application of 3D printed polymer composite as capacitive sensor

The purpose of this study is to demonstrate the usage of three-dimensionally (3D) printed polylactic acid (PLA)-carbon black (CB) conductive polymer composite in the measurement of the void fraction and liquid level. ,PLA-CB conductive polymer composite is 3D printed through fused deposition modelling (FDM) technique and used as a capacitive sensor for void fraction measurement and liquid level sensing. The sensitivity of 3D printed ring and concave type capacitive sensors are compared for void fraction measurement. The effect of electrode length, thickness and pipe dimension on the capacitance achievable for the particular void fraction is studied. Concept of fringing capacitance is used for the sensing of liquid level. ,Compared to the concave design comprising four electrodes, the ring-type capacitive sensor produced better results in void fraction measurement. Increase in pipe diameter and electrode length results in the enhancement of capacitance arising from specific void fraction. For a 100 mm diameter pipe, the capacitance of the 150 mm-long concave electrode (0.4 mm thick) increased from 9.98 to 67.77 pF as the void fraction decreased from 100% to 0%. Development of the fringing capacitance in 3D printed PLA-CB composite helps in the measurement of liquid level. Both parallel finger topology and interdigital electrode configuration are able to sense the liquid level. ,Ability of the 3D printed conductive PLA-CB composite to act as a capacitive sensor is experimentally analysed. Performance of different electrode configuration is tested for both void fraction measurement and liquid level sensing. Results of experimentation prove that FDM printed PLA-CB composite is suitable for the void fraction and liquid level measurement.
Acoustical Classification of the Urban Road Traffic with Large Arrays of Microphones

This work is part of a study dealing with city-dwellers' quality of life. Noise is known to be an important factor influencing the quality of life. In order to diagnose it properly, we propose a noise monitoring system of urban areas. It is based on the use of large microphone arrays in order to extract the radiated sound field from each passing-by vehicle in typical urban scenes. A machine learning algorithm is trained so as to classify these extracted signals in clusters combining both the vehicle type and the driving conditions. This system makes it possible to monitor the evolution of the noise levels for each cluster. The proposed system was first tested on passing-by isolated vehicles measurements and then implemented in a real street in Paris (France).
THE INFLUENCE OF PERCEIVED USEFULNESS, SOCIAL INFLUENCE, INTERNET SELF-EFFICACY AND COMPATIBILITY ON USERS’ INTENTIONS TO ADOPT E-LEARNING: INVESTIGATING THE MODERATING EFFECTS OF CULTURE

The current study has been inspired by two significant issues: (1) The proliferation of e-technologies such as e-learning have dramatically motivated global research intended to advance our knowledge of the dynamics of these technologies in varying environmental contexts and settings, and (2) the importance of cultural values at individual-level analysis in technology adoption merits greater level of attention and interests from researchers and practitioners, particularly in relation to developing country contexts. This study intends to investigate the significance of highly influential adoption factors acknowledged as relevant in prior literature in predicting user’s behavioral intention to adopt new technologies. These potentially important factors were drawn from highly popular technology adoption and social theories including perceived usefulness (Technology Acceptance Model), social influence (Theory of Planned Behavior), Internet self-efficacy (Social Cognitive Theory) and perceived compatibility (Innovation Diffusion Theory). Further, the present study examines the moderating impact of both individualism-collectivism and uncertainty avoidance cultural dimensions at individual-level on the hypothesized relationships linking these highly influential adoption factors with behavioral intention to adopt e-learning environment in order to facilitate and enhance learning processes and in an effort to achieve value maximization and waste minimization requirements in the context of e-learning technology. The empirical data which consists of 262 valid datasets was collected from undergraduate university students in Jordan via self-administered paper-based questionnaire. The questionnaire was developed from previously accepted and validated a set of measurements items. The empirical data was numerically assessed and analyzed with the help of WarpPLS 5.0. The findings of this study demonstrate that perceived usefulness, social influence, Internet self-efficacy and perceived compatibility are important predictors of individuals’ behavioral intention to adopt e-learning technology. Further, the current findings provide adequate empirical evidence to support all hypotheses involving moderating effects with one exception whereby both individualism-collectivism and uncertainty avoidance cultural values have little statistical significance on the relationship linking perceived usefulness with behavioral intention to adopt e-learning technologies. Interestingly, the proposed model explains a substantial amount of variance (63%) which signifies that the model fits the data well. Research findings are discussed and contribution to theory and practice are presented. Keywords adoption, e-learning, culture, WarpPLS, Jordan