Miracle-dz/UniFAR-FTUs huggingface dataset:
In-Service Evaluation of the Turbulence Auto-Pirep System and Enhanced Turbulence Radar Technologies

From August 2003 to December 2006, In-Service Evaluations (ISE) of the Turbulence Auto-PIREP System (TAPS) and Enhanced Turbulence (E-Turb) Radar, technologies developed in NASA's Turbulence Prediction and Warning System (TPAWS) element of its Aviation Safety and Security Program (AvSSP), were conducted. NASA and AeroTech Research established an industry team comprising AeroTech, Delta Air Lines, Rockwell Collins, and ARINC to conduct the ISEs. The technologies were installed on Delta aircraft and their effectiveness was evaluated in day-to-day operations. This report documents the establishment and conduct of the ISEs and presents results and feedback from various users.
How well are American students learning? : with sections on international tests, who's winning the real top, and NAEP and the common core state standards : the 2010 Brown Center report on American Education

An overarching theme of this year's report is that events in the field of education are not always as they appear to be - and that is especially so with test scores. Whether it's commentators perpetrating myths of international testing, states winning races while evidencing only mediocre progress, or an eighth-grade test dominated by content below the eighth grade, the story is rarely as simple as it appears on first blush. This report digs beneath the surface and uncovers some of the complexities of these important issues.
3-D antenna array analysis using the induced EMF method

The effect of mutual coupling between elements plays a crucial role to the performance of the antenna arrays. The radiation patterns of antenna arrays will be altered by the coupling effect from the adjacent elements thus reducing the accuracy and resolution in direction finding application. This research developed and validated the novel 3-D Algorithm to calculate the far-field pattern of dipole arrays arranged in three dimensions and in any configuration (both in straight and slanted position). The effect of mutual coupling has been accounted using the Induced EMF method. The computation is performed on 2x2 parallel dipoles and 12 dipoles arranged at the edge of a cube. The results are validated with other electromagnetic techniques such as Method of Moment (MoM) and Finite Difference Time-Domain (FDTD). Then, a 2x2 dipole array is chosen for beam steering and experiment validation due to its ease of implementation and feeding network. The array optimisation to control the pattern is performed using a genetic algorithm. The far-field pattern computed using the 3-D algorithm might be less accurate than other 3-D electromagnetic techniques but its array optimisation is faster and efficient. The simulation and measurement results are in good agreement with each other confirmed the validity of the 3-D algorithm.
Öğretmen ve Öğrencilerin Tablet Bilgisayar Kullanımında Yaşadıkları Sorunlar ve Çözüm Önerileri

Gerceklestirilen calismada ortaogretim kurumlarinda gorev yapan ogretmen ve bu kurumlarda ogrenim goren ogrencilerin tablet bilgisayar kullanimi sirasinda karsilastiklari sorunlarin ve bu sorunlara iliskin cozum onerilerinin belirlenmesi amaclanmistir. Tarama modelinde tasarlanan arastirmada veriler, icerik analizi ile cozumlenerek kategorize edilmistir. Arastirmanin calisma grubunu, tablet bilgisayarlari aktif olarak derslerinde kullanan farkli brans ogretmenleri (f=47) ve ogrencileri (f=286) olusturmustur. Bu kapsamda gerceklestirilen calismada yapilan analizler sonucunda ogretmen ve ogrencilerin tablet bilgisayarlara iliskin sorunlari; ogrenme-ogretme surecinde yasanan sorunlar, donanima yonelik sorunlar, yazilima yonelik sorunlar, ders iceriklerine yonelik sorunlar, ergonomi ve saglik acisindan yasanan sorunlar olmak uzere bes alt boyutta ele aldiklari ve bu dogrultuda cozum onerileri sunduklari belirlenmistir. Tablet bilgisayarlara yonelik ogretmen ve ogrencilerin karsilastiklari sorunlarin basinda kisitlamalarin (yazilim, icerik ve internet) etkin kullanimi sinirlandirmasi, derslere uygun materyal bulunamamasi, kullanima yonelik yetersiz bilgi ve becerilere yonelik tedbir alinamamasi yer almaktadir. Yasanan sorunlara iliskin katilimcilarin one cikan cozum onerileri ise; yazilim ve internete yonelik kisitlamalarin kaldirilmasi gerektigi, uygun ders materyalleri gelistirilmesi gerektigi, ogretmen ve ogrencilere yonelik kapsamli egitimler verilmesi gerektigi, yasanan donanimsal ve yazilimsal sorunlarin kisa zamanda cozulmesi gerektigi seklindedir
Domain Adaptation-Based Deep Calibration of Low-Cost PM₂.₅ Sensors

Air pollution is a severe problem growing over time. A dense air-quality monitoring network is needed to update the people regarding the air pollution status in cities. A low-cost sensor device (LCSD) based dense air-quality monitoring network is more viable than continuous ambient air quality monitoring stations (CAAQMS). An in-field calibration approach is needed to improve agreements of the LCSDs to CAAQMS. The present work aims to propose a calibration method for PM2.5 using domain adaptation technique to reduce the collocation duration of LCSDs and CAAQMS. A novel calibration approach is proposed in this work for the measured PM2.5 levels of LCSDs. The dataset used for the experimentation consists of PM2.5 values and other parameters (PM10, temperature, and humidity) at hourly duration over a period of three months data. We propose new features, by combining PM2.5, PM10, temperature, and humidity, that significantly improved the performance of calibration. Further, the calibration model is adapted to the target location for a new LCSD with a collocation time of two days. The proposed model shows high correlation coefficient values (R2) and significantly low mean absolute percentage error (MAPE) than that of other baseline models. Thus, the proposed model helps in reducing the collocation time while maintaining high calibration performance.
VIRTEX-4 VQ static SEU Characterization Summary

This report is the result of the combined efforts of members within the Xilinx Radiation Test Consortium (XRTC), sometimes known as the Xilinx SEE Test Consortium. The XRTC is a voluntary association of aerospace entities, including leading aerospace companies, universities and national laboratories, combining resources to characterize reconfigurable FPGAs for aerospace applications. Previous publications of Virtex-4 radiation results are for commercial (non-epitaxial) devices; see, for example, Refs. 1-4. A notable exception is Ref. 5, which presents XRTC upset measurements of storage elements in the PowerPC405s in the XQR4VFX60. This report of upset susceptibility to heavy ions and protons of the static memory elements in the Virtex-4QV family is a direct parallel to the XRTC report on the thin epitaxial devices in the Virtex-2 family released four years ago.
Design for Additive Manufacturing Considerations for Self-Actuating Compliant Mechanisms Created via Multi-Material PolyJet 3D Printing

The work herein is, in part, motivated by the idea of creating optimized, actuating structures using additive manufacturing processes (AM). By developing a consistent, repeatable method for designing and manufacturing multi-material compliant mechanisms, significant performance improvements can be seen in application, such as increased mechanism deflection. There are three distinct categories of research that contribute to this overall motivating idea: 1) investigation of an appropriate multi-material topology optimization process for multi-material jetting, 2) understanding the role that manufacturing constraints play in the fabrication of complex, optimized structures, and 3) investigation of an appropriate process for embedding actuating elements within material jetted parts. PolyJet material jetting is the focus of this dissertation research as it is one of the only AM processes capable of utilizing multiple material phases (e.g., stiff and flexible) within a single build, making it uniquely qualified for manufacturing complex, multi-material compliant mechanisms. However, there are two limitations with the PolyJet process within this context: 1) there is currently a dearth of understanding regarding both single and multi-material manufacturing constraints in the PolyJet process and 2) there is no robust embedding methodology for the in-situ embedding of foreign actuating elements within the PolyJet process. These two gaps (and how they relate to the field of compliant mechanism design) will be discussed in detail in this dissertation. Specific manufacturing constraints investigated include 1) “design for embedding” considerations, 2) removal of support material from printed parts, 3) self-supporting angle of surfaces, 4) postprocess survivability of fine features, 5) minimum manufacturable feature size, and 6) material properties of digital materials with relation to feature size. The key manufacturing process and geometric design factors that influence each of these constraints are experimentally determined, as well as the quantitative limitations that each constraint imposes on design.
Understanding Current Needs and Future Expectations of Informal Caregivers for Technology to Support Health and Well-being: National Survey Study

Background There are approximately 6.5 million informal (unpaid) caregivers in the United Kingdom. Each caregiver plays a critical role in the society, supporting the health and well-being of those who are ill, disabled, or older and who need frequent support. Digital technologies are becoming a ubiquitous part of everyday life for many, but little is known about the real-world impact of technology for those in a caring role, including the abilities of technologies to address the mental and physical impacts of caregiving. Objective This study aims to understand the current and future technology use of caregivers, including digital technologies used to care for themselves and the person they look after. Methods We codeveloped a wide range of questions with caregivers and care professionals and delivered this survey both on the web and in paper format (eg, using social networks such as Twitter alongside in-person events). Questions were focused on providing care and looking after caregiver health and well-being. Analyses focused on both quantitative outcomes (frequency counts and Likert questions) and explored free text entries (thematic analysis). Results From 356 respondents, we identified that caregivers were receptive to, and largely positive about current and future use of technology both for their own care and their caring role (eg, checking in from distance). There were notable concerns, including the risk that technology could replace human contact. We identified several key areas for future work, including communication with health and social care professionals, and the potential for technology to help caregivers with their own health. We also identified several stakeholders (eg, care workers, pharmacy staff, and general practitioners) who could act as suitable points for technology signposting and support. Conclusions Caregivers are a transient, often difficult to reach population, and this work has collated a large body of knowledge across a diverse group of individuals. Many caregivers, like the rest of society, are realizing the benefits of using everyday technology to help deliver care. It is clear that there is already a high level of dependency on technologies, where future expectations will grow. However, many barriers to digital technology use remain, including a lack of ongoing technology support. Preventive measures linked to technology that can help look after a caregiver’s own health appear acceptable, particularly for communicative tools. This collated caregiver knowledge is a call for all stakeholders—academics, policy makers, and practitioners—to take note of these specific challenges, and to ensure that caregiver voices are both heard and fully integrated within the emerging digital health agenda.
AN EMPIRICAL INVESTIGATION OF DYNAMIC CAPABILITIES AT THE INDIVIDUAL LEVEL: THE CONTEXT OF NEW SERVICE DEVELOPMENT

This paper extends the dynamic capabilities (DCs) perspective into the study of new service development (NSD). Drawing from both the DCs view and the NSD perspective, this paper explores theoretically and examines empirically the associations between four core dynamic capability components: adaptive capabilities, absorptive capabilities, arranging capabilities and administration capabilities (4As capabilities) exercised in the process of NSD. DCs have been argued to reside at different levels of organization. Thus far enormous research has focused on organizational level of DCs. Many studies has recognized the importance of DC at micro/individual level (e.g. Teece, 2007; Rothaermel and Hess, 2007), yet research relating to DC at the individual level of organizations is still lacking. Hence, this study focuses on developing and empirically validating an appropriate measurement scale for micro-level DCs. The majority of NSD research has concentrated on the financial service sector; however, the hotel industry, one of the global largest industries, has not been well investigated (Ottenbacher, 2007). The study addresses its research objectives through an empirical investigation adopting both qualitative interviews and a quantitative survey in the hotel sector. This entailed a large quantitative pilot study (433 respondents) and a full-scale survey of hotel sector employees (1,079 respondents) in Thailand. The results, analysed through multiple regression analysis, show positive impact of 4As capabilities applied in different NSD activities on the NSD outcomes. The research findings provide guidance to managers as to how NSD performance is influenced by DCs exercised during the NSD process. The theoretical and managerial implications of this research are articulated.
Optimisation of performance in the triple jump using computer simulation

While experimental studies can provide information on what athletes are doing, they are not suited to determining what they should be doing in order to improve their performance. The aim of this study was to develop a realistic computer simulation model of triple jumping in order to investigate optimum technique. A 13-segment subject-specific torque-driven computer simulation model of triple jumping was developed, with wobbling masses within the shank, thigh, and torso. Torque generators were situated at each hip, shoulder, knee, ankle, and ball joint. Kinetic and kinematic data were collected from a triple jump using a force plate and a Vicon motion analysis system. Strength characteristics were measured using an isovelocity dynamometer from which torque-angle and torque-angular velocity relationships were calculated. Segmental inertia parameters were calculated from anthropometric measurements. Viscoelastic parameters were obtained by matching an angle-driven model to performance data for each phase, and a common set for the three contact phases was determined. The torque-driven model was matched to performance data for each phase individually by varying torque generator activation timings using a genetic algorithm. The matching produced a close agreement between simulation and performance, with differences of 3.8%, 2.7%, and 3.1% for the hop, step, and jump phases respectively. The model showed good correspondence with performance data, demonstrating sufficient complexity for subsequent optimisation of performance. Each phase was optimised for jump distance with penalties for excessive angular momentum at take-off. Optimisation of each phase produced an increase in jump distance from the matched simulations of 3.3%, 11.1%, and 8.2% for the hop, step, and jump respectively. The optimised technique showed a symmetrical shoulder flexion consistent with that employed by elite performers. The effects of increasing strength and neglecting angular momentum constraints were then investigated. Increasing strength was shown to improve performance, and angular momentum constraints were proven to be necessary in order to reproduce realistic performances.
How Conscientiousness and Neuroticism Affect Academic Procrastination

Abstract. We examined students’ procrastinatory behavior in a specific higher-education learning situation in relation to conscientiousness and neuroticism as well as motivational regulation. We hypothesized that conscientiousness would be associated with low levels and favorable trajectories of academic procrastinatory behavior, and neuroticism would be associated with high levels and unfavorable trajectories of procrastinatory behavior. Furthermore, we examined whether motivational regulation mediates these effects. To answer our research questions, we used data from a diary study that spanned a period of 28 days with a total of 3,121 single measurements of 128 university students (mean age = 21.7 years; SD = 2.2; 53 % female). The results of conditional growth curve models indicated that levels of procrastinatory behavior were negatively linked to conscientiousness and positively linked to neuroticism. Motivational regulation mediated the relation between conscientiousness and procrastinatory behavior. No effects on the trajectories of procrastinatory behavior were found. Our findings provide insights into procrastinatory behavior in a specific learning situation and emphasize the functional effects of motivational regulation on academic procrastination.
Identification of HPV16 in suspected cases of cervical lesions and docking Study of its L1 protein with some natural inhibitors.

Background The Human papillomavirus (HPV) causes sexually transmitted diseases. Among several types of HPV variants, HPV 16 is listed as a high-risk group, the primary cervical cancer etiologic agent, which causes life-threatening disease among women worldwide. The presence of L1, E6 and E7 encoded oncoproteins are largely responsible for virulence and pathogenicity that leads to cervical lesions. This menace is required to be curbed by designing an anti-cancerous drugs. The protein receptor-inhibitor interaction adopted using in silico analysis is very important in drug designing. It was the objective of this study to identify HPV16 isolates from suspected cases of cervical cancer at SH Sokoto and SYMH Birnin Kebbi hospitals and also to identify potent HPV16’s L1 protein inhibitor using in silico analysis of Echinacoside, curcumin and Cichoric acid against the viral protein. Methods A total of 140 cervical smear samples consisting of 21 low grade squamous intraepithelial lesion, 6 high grade lesion and 117 negative pap smears were collected. The samples were subjected for molecular detection using PCR targeting E6 and L1 genes of the virus. Positive samples were sequenced using Sanger sequencing platform. All the sequencing data were analysed using bioedit software while data generated for the molecular prevalence was statistically analyzed using Chi-square. A comprehensive HPV L1 protein homology model was designed to predict the L1 protein interaction mechanism with natural inhibitory molecules using a structural drug design approach. AutoDock Vina was used to carry out the molecular docking. Results Out of the 140 samples, 24 samples were positive for the PCR representing 16.7% molecular prevalence rate. There is statistically significant association between cyto-diagnoses and presence of HPV16 ( P ˂0.05). The highest prevalence rate of 12(50% of positive sample) was recorded among women between 30-39 years old. Docking analysis showed that the Chicoric acid components of Echinacea purpurae have strong binding affinity to the L1 protein of the HPV. Conclusion This study provides data on HPV 16 epidemiology in northern Nigeria, High-risk type 16 HPV variant was identified and also provides novel evidence for consideration on certain interacting residues, when synthesizing Anti-HPV compounds in the wet lab.
Early Onset

study analyzed both incidence and mortality figures of pancreatic cancer for 185 WHO member states for 2020. Also, our study analyzed international patterns in trends of incidence and mortality of pancreatic cancer in the last three decades by sex and by age groups. One of the major strengths of our study is the use of the GLOBOCAN database, the large population-based datasets, whereby the trends analysis was conducted only for countries with quality of data that was classified as high or medium quality level. Finally, the described international patterns and trends in pancreatic cancer incidence and mortality over time may be useful in generating hypotheses about risk factors for pancreatic cancer. “.
Clara Cell 10-kDa Protein is a Sensitive Biomarker to Identify Th2 Subtype Inflammatory Phenotypes of Asthma

Background: Clara cell 10-kDa protein (CC10) is one of the most abundant proteins in bronchoalveolar lavage fluis and has been described as a biomarker for airway obstructive diseases. CC10 possesses the properties of suppression Th2 cell differentiation and Th2 cytokine production. In this study, we aimed to determine whether CC10 can be a sensitive biomarker to identify Th2 phenotypes of asthma.Methods: Adults with asthma (n = 50) were categorized as Th2-high asthma or Th2-low asthma according to serum IgE, blood eosinophils and fractional exhaled nitric oxide (FeNO). Patients were classified as Th2-high asthma when two or more biomarkers (high IgE ≥ 100 IU/mL, high Eos ≥ 300/µL, or high FeNO ≥ 30 ppb) were elevated, and classified as Th2-low asthma when one or no biomarker was elevated. Enzyme-linked immunosorbent assay (ELISA) was used to assess the CC10 and periostin levels in plasma. All participants underwent sputum induction, and different types of inflammatory cells were counted.Results: The plasma CC10 levels from patients with Th2-low asthma were higher than patients with Th2-high asthma（P<0.001. The receiver-operating characteristic (ROC) analysis showed a sensitivity of 0.73 and specificity of 0.74 for plasma CC10 of 19.76 ng/ml to distinguish asthmatic patents with Th2-high phenotype or Th2-low phenotype. Correlation analysis indicated that the plasma CC10 levels were inversely correlated with plasma periostin, sputum eosinophil and negative logPD20 (p＜0.05), however positively correlated with sputum neutrophil percentages and FEV1 % predictions (p＜0.05). Conclusions: The plasma CC10 was potentially useful in predicting Th2-high and Th2-low phenotypes in patients with asthma. Lower plasma CC10 was associated with enhanced airway hyperresponsiveness, Th2-high inflammation and subsequent airflow limitation.