Miracle-dz/UniFAR-FTUs huggingface dataset:
ANAEROBİK DAYANIKLILIK İLE DİKEY SIÇRAMA ARASINDAKİ İLİŞKİ

Bu arastirmanin amaci elit sporcularda anaerobik dayaniklilik ile dikey sicrama arasindaki iliskinin incelenmesidir. Arastirmaya elit seviyede, iki farkli bransta (boks n=6, hentbol n= 8) toplam 14 gonullu erkek sporcu katilmistir. Arastirmaya katilan sporcularin, yas ortalamalari; 20,25±1,03 yil, boylari; 1,80±0,08 m, vucut agirligi ortalamalari; 77,14±18,91 kg, spor yasi ortalamasi; 9,87±3,31 yil, milli olma sayilari ortalamasi; 10,0±3,31’dir. Arastirmada dikey sicramanin belirlenmesi icin sistemi, Anaerobik dayaniklilik belirlenmesinde ise uc kose kosu testi kullanildi. Tum sporcularin kalp atim sayilari; isinmadan once, isinmadan sonra ve anaerobik dayaniklilik kosu testinden sonra polar saat kullanilarak kaydedildi. Anaerobik dayaniklilik ve dikey sicrama performanslari arasinda anlamli iliski oldugu tespit edilmis olup dikey sicrama yetenegi iyi olan sporcularin ayni zaman da anaerobik dayanikliliklarinin da iyi oldugu kanaatine varilmistir. Sonuc olarak, dikey sicramanin anaerobik dayanikliligi oraninda acikladigi ve dikey sicramadaki 1 birimlik degisimin anaerobik dayanikliligi 0.21 oraninda etkiledigi bulunmustur.
Explainable Supervised Method for Genetics Ancestry Estimation

Ancestry estimation is one crucial stage in genomic research. It generates scores that represent the admixed genetics profile as the result of human evolution. In the previous research, we implemented multiple unsupervised methods to estimate these scores from large genomics data obtained from the 1000 Genome Project. These methods were limited to only cluster the samples to the five global populations in the dataset. The main challenge arose when implementing these methods to cluster the samples into more specific subpopulations. In this paper, we proposed a supervised approach to answer this challenge. Two state-of-the-art supervised machine learning methods, XGBoost and Deep Neural Network (DNN), were applied to the same dataset. These methods were aimed to classify samples, both into five main populations and also into 26 sub-populations. In the first classification task, both methods achieved similar results to our previous unsupervised approach. Interestingly, for the second classification task, which posses a relatively higher difficulty, DNN yielded better performance in the train, validation, and test dataset, despite its overfitting problem. Furthermore, the feature importance scores from each model were calculated using Shapley Additive Explanations (SHAP) method. Finally, 11 overlapped SNPs from all models were evaluated based on the reported Minor Allele Frequency (MAF) from the 1000 Genome Project. Overall, only using these 11 SNPs, we could differentiate each population in regards to its average MAF.
Migrant Racialization on Twitter during a border and a pandemic crisis

This work examines how the outbreak of the COVID-19 pandemic reshaped the migration debate on Twitter. Through co-hashtag network analysis, time-frequency and content analysis, it shows that the pandemic was related with positive (humanitarian) and negative (threat) stances about migration. The positive side focused on the need to protect refugees stranded at camps in Greece from COVID-19. The negative focused on the Greek-Turkish land-border crisis (Evros crisis), using COVID-19 to reinforce migrants as racialized others. These findings fit the problematization of positive and negative migrant representations in the Global north as Eurocentric. In the case of camps, refugees fit well within the victim/helpless frame, justifying humanitarianism, this time on health grounds. Regarding the border crisis, refugees also fit the Eurocentric frame of violent/male/inferior other who could spread a deadly virus. Overall, COVID-19 intertwined with migration in Twitter debates, reinforcing the racialized, Eurocentric representational field on migrants from the Global south.
Biodegradable Polymer DES (Ultimaster) vs. Magnesium Bioresorbable Scaffold (BRS Magmaris) in Diabetic Population with NSTE-ACS: A One-Year Clinical Outcome of Two Sirolimus-Eluting Stents

Background Cardiovascular disease (CVD) with significant involvement of coronary artery disease (CAD) remains a major cause of death and disability among the diabetic population. Although percutaneous coronary intervention (PCI) continues to evolve, type 2 diabetes mellitus (T2DM) is a well-established marker of poor clinical prognosis after PCI, which is mainly attributed to the rapid progression of atherosclerosis requiring recurrent revascularizations. Hence, the use of bioresorbable materials could provide some solution to this problem. Material and Methods. The study was divided into two arms. For the first one, we qualified 169 patients with NSTE-ACS treated with PCI who received the drug-eluting stent (DES) coated with a biodegradable polymer Ultimaster (Terumo, Tokyo, Japan). The second arm was composed of 193 patients with ACS who underwent PCI with a magnesium bioresorbable scaffold Magmaris (Biotronik, Berlin, Germany). Both arms were divided into two subsequent groups: the T2DM (59 and 72) and the non-DM (110 and 121, respectively). The primary outcomes were cardiovascular death, myocardial infarction, and in-stent thrombosis. The main secondary outcomes included target lesion failure (TLF) and were recorded at a 1-year-follow-up. Results There were no significant differences between the diabetic and nondiabetic populations in the primary endpoints or main secondary endpoints (TLF, scaffold restenosis, death from any reason, and other cardiovascular events) either in the Ultimaster or Magmaris group. At a 1-year follow-up, the primary endpoint in the DM t.2 population was recorded in 2.7% Ultimaster vs. 5.1% Magmaris, respectively. Conclusion Both, Ultimaster and Magmaris revealed relative safety and efficiency at a one-year follow-up in the diabetic population in ACS settings. The observed rates of TLF were low, which combined with a lack of in-stent thrombosis suggests that both investigated devices might be an interesting therapeutic option for diabetics with ACS. Nevertheless, further large randomized clinical trials are needed to confirm fully our results.
To board or not to board? Understanding the drivers of intention to fly during the COVID-19 crisis

ABSTRACT This study sheds light on consumer demand for air travel in the pandemic context by proposing and evaluating a model that combines the personal and third-party beliefs on travel intentions (Theory of Planned Behaviour), as well as the perceived level of threat and familiarity (Protection Motivation Theory). The model is evaluated with a sample of 381 respondents from Portugal, into two groups: travellers vs. non-travellers. Our results provide evidence that for both groups, self-efficacy and social influence are positively associated with the intention to fly. On the other hand, for non-travellers, attitudinal preferences are negatively driven by response cost and level of fear. For the COVID travellers, familiarity positively affects their attitude toward flying. This study contributes to a shift in the paradigm of tourism and can be used by airline companies and tourism operators, deepening the understanding of customer motivation for air travelling during the pandemic.
Goal Orientation and preferred coaching styles of Malaysian Sport School’s athletes

The objective of this study was to identify goal orientation and preferred coaching styles of the young athletes from Malaysian Sports Schools, based on gender differences, age, and type of sport participated. Instruments used in this study were Task and Ego Orientation in Sport Questionnaire (TEOSQ) and the athlete’s preferred version of the Leadership Scale for Sport (LSS). Subject were young athletes from Malaysian Sport School age 13 to 18 years old (N = 854). Descriptive analysis indicated that athletes were more inclined toward Task orientation rather than Ego. Result of t-test revealed significant differences for goal orientation based on gender and age. ANOVA analysis also showed that there are significant differences of goal orientation based on types of sports. Boys were found to be high in both Task and Ego orientation than girls. Younger athletes are more task-oriented as compared to senior athletes. Individual sport athletes were found to be more Ego oriented than team sport athletes. The most preferred coaching styles were Training and Instruction, followed by Democratic, Social Support, and Positive Feedback. Autocratic behaviour was the least preferred coaching style. The results also indicated that there was a significant different in coaching style based on gender and age group. Male athletes preferred more Autocratic and Positive Feedback as compared to female athletes. Senior athletes preferred Training and Instruction and Social Support, while the younger athletes preferred Autocratic coaching style. In conclusion, the results indicates that the authorities involved in the development and planning of the sport programme should know and understand the athletes’ goal orientation and their preferred coaching styles to achieve success.
IMPRESSION TECHNIQUES FOR IMPLANT DENTISTRY (PART 2) : OPEN TRAY TECHNIQUES

A highly accurate impression is one of success requirements in implant dentistry. A passively fitting prothesis is achieved when the 3-dimensional position of the implants is precisely transferred to the cast. Various impression techniques are described in the literature. Each one presents indications, qualities and limits. Many studies compared the main techniques which are closed and open-tray impressions along with their specificities. In this second part, the open-tray technique is described and discussed then compared with the closed-tray one.
Implications of form postponement to manufacturing a customized product

Postponement is an approach that helps to deliver more responsive supply chains. Form postponement (FPp) involves the delay of final manufacturing until a customer order is received and is commonly regarded as an approach to mass customization. However, while much is written in the literature about the benefits and strategic impact of FPp, little is still known about its application. The paper presents the second in a series of three studies, using a common research methodology, that address ‘how’ FPp is applied in terms of its operational implications within a manufacturing facility. It is a retrospective study of the application of FPp in a manufacturer of industrial electric motors referred to here as ‘Motorco’. Operational measures for products selected for FPp are compared with those for products that continued to be made under engineer-to-order and make-to-stock regimes. Propositions were tested that address operational implications of FPp within the manufacturing facility, as well as the impact of FPp on selected performance metrics and the demand profile for which FPp was the preferred regime. Multiple data collection methods were used whereby documentary, archival and database evidence were used to measure operational characteristics across a broad front. The findings show that FPp improved responsiveness of manufacturing, but it is involved in the removal of components and often time-consuming invasive modifications. This suggested that the Customer Order Decoupling Point (CODP) would be better located further up stream in the manufacturing process. Two alternative CODP locations are evaluated that prevent the removal of components, provide the same level of responsiveness and potentially improve delivery reliability. The production planning system was sufficiently responsive to support FPp. However, the bills of materials were inflexible, preventing the system from being used to process FPp orders. This case illustrates many of the operational implications of applying FPp to a complex (i.e. many part numbers) and truly customized product. A third and final study of a FPp application in a different production context has been completed that will provide further evidence of its operational implications.
HTS microstrip filters using H-type resonators

We report the characteristics of a high-T/sub c/ superconductor (HTS) bandpass filter with the designed center frequency of 16.5 GHz. A YBa/sub 2/Cu/sub 3/O/sub 7-x/ (YBCO) superconducting thin film was prepared using the rf-magnetron sputtering deposition technique. The filter used in this work was composed of the "H"-type resonator (non-uniform microstrip lines). This approach has advantages for a considerably high Q-value and the compact filter structure. The impedance ratio of the "H"-type resonator was 0.5 in this work. In the measured responses, this HTS filter showed the insertion loss of -0.4 dB at maximum. The measured center frequency of our HTS bandpass filter was 16.44 GHz and the passband was from 15.91 GHz to 16.97 GHz, a bandwidth of 6.86% with 3 dB in band Chebyshev ripple. Experimental results of our filters were reported in terms of insertion loss, return loss and other various characteristics.
Changes in the Framing of Antimicrobial Resistance in Print Media in Australia and the United Kingdom (2011–2020): A Comparative Qualitative Content and Trends Analysis

Educating the public about antimicrobial resistance (AMR) is considered a key part of an optimal public health response. In both media depictions and policy discourses around health risks, how a problem is framed underpins public awareness and understanding, while also guiding opinions on what actions can and should be taken. Using a mixed methods approach we analyse newspaper content in Australia and the United Kingdom (UK) from 2011 to 2020 to track how causes, consequences and solutions to AMR are represented in countries with different policy approaches. Analyses demonstrate greater variability in the frames used in UK newspapers reflecting large hospital and community outbreaks and a sustained period of policy reform mid-decade. Newspapers in Australia focus more on AMR causes and consequences, highlighting the importance of scientific discovery, whereas UK coverage has greater discussion of the social and economic drivers of AMR and their associated solutions. Variations in the trends of different frames around AMR in UK newspapers indicate greater levels of public deliberation and debate around immediate and actionable solutions; whereas AMR has not had the same health and political impacts in Australia resulting in a media framing that potentially encourages greater public complacency about the issue.
Microstructure and mechanical properties of friction stir welded 6082-T6 aluminium alloy

Abstract Aluminium alloy 6082-T6 is vital in the fabrication of light weight structures requiring high strength-to-weight ratio and good corrosion resistance. In this work, investigation is carried out at three different heat energy inputs termed as hot weld (HW), cold weld (CW) and weld at optimum condition (WOC). Heat energy in friction stir welding depends on spindle speed and weld speed. The characteristic study of tensile strength, micro-hardness and metallographic structure at different weld conditions were carried out. Higher heat input, ie. HW, shows fine and harmonised grains, but softening occurred across the weld. Lower heat input, ie. CW, shows better mechanical properties compared with HW, but prone to brittle fracture. The WOC compromises the CW as well as HW and provides better results.
Learning About the Long Run

Forecasts of professional forecasters are anomalous: they are biased, forecast errors are autocorrelated, and predictable by forecast revisions. Sticky or noisy information models seem like unlikely explanations for these anomalies: professional forecasters pay attention con-stantly and have precise knowledge of the data in question. We propose that these anomalies arise because professional forecasters don’t know the model that generates the data. We show that Bayesian agents learning about hard-to-learn features of the data generating process (low frequency behavior) can generate all the prominent aggregate anomalies emphasized in the literature. We show this for two applications: professional forecasts of nominal interest rates for the sample period 1980-2019 and CBO forecasts of GDP growth for the sample period 1976-2019. Our learning model for interest rates also provides an explanation for deviations from the expectations hypothesis of the term structure that does not rely on time-variation in risk premia.
Impaired astrocytic Ca2+ signalling in awake Alzheimer’s disease transgenic mice

Increased astrocytic Ca2+ signaling related to amyloid plaques has been shown in Alzheimer’s disease mouse models, but to date no reports have characterized behaviorally induced astrocytic Ca2+ signalling in such mice without the confounding effects of anesthesia. Here, we employ an event-based algorithm to assess astrocytic Ca2+ signals in the neocortex of awake-behaving tg-ArcSwe mice and non-transgenic wildtype littermates while monitoring pupil responses and behavior. We demonstrate an attenuated astrocytic Ca2+ response to locomotion and an uncoupling of pupil responses and astrocytic Ca2+ signalling in 15-months old plaque-bearing mice. This points to a potential decoupling of neuromodulatory activation and astrocytic Ca2+ activity, which may account for some of the cognitive dysfunctions observed in Alzheimer’s disease.
Technology Based-Entrepreneurship: Measurement Technology Perspective

Currently, there are several papers on the New Technology Based Firms (NTBFs) yet the case studies of measurement technology appear to not be available. This work aims to present the entrepreneurial processes of Finnish measurement technology firms. Eight interviews were conducted with the key players of the industry. Successfully, the outcomes of the study revealed that there are five interconnected and interactive phases for new technology commercialization; they are not static and they are continuous in a circular mode. Likewise, there are two facilitators – networking and market potential which serve as linked pins for the identified stages. Furthermore, financing, research and development (R&D), government supports and the entrepreneurship issues were found to be highly relevant for NTBFs. Most importantly, this study presents a new model, which can be adopted by technology entrepreneurs for their invention valorizations.
Using Improved Wavelet Networks in Image Compression

We proposed improved wavelet network and applied it to image compression. Activation function was selected automatically from three wavelet basis functions based on the effect of image compression. The three given wavelet basis functions were Morlet, Mexican-Hat and Different Of Gauss(DOG) wavelet basis functions respectively. The results show that the improved wavelet networks method is better than general wavelet networks in image compression.
The Role of Continental Topography in the Present-Day Ocean’s Mean Climate

Climate models of varying complexity have been used for decades to investigate the impact of mountains on the atmosphere and surface climate. Here, the impact of removing the continental topography on the present-day ocean climate is investigated using three different climate models spanning multiple generations. An idealized study is performed where all present-day land surface topography is removed and the equilibrium change in the oceanic mean state with and without the mountains is studied. When the mountains are removed, changes found in all three models include a weakening of the Atlantic Meridional Overturning Circulation and associated SST cooling in the subpolar North Atlantic. The SSTs also warm in all the models in the western North Pacific Ocean associated with a northward shift of the atmospheric jet and Kuroshio current. In the ocean interior, the magnitude of the temperature and salinity response to removing the mountains is relatively small and the sign and magnitude of the changes generally varies among the models. These different interior ocean responses are likely related to differences in the mean state of the control integrations due to differences in resolution and associated sub-grid scale mixing parametrizations. Compared to the results from 4xCO2 simulations, the interior ocean temperature changes caused by mountain removal are relatively small, however, the oceanic circulation response and Northern Hemisphere near-surface temperature changes are of a similar magnitude to the response to such radiative forcing changes.
Guidelines to select underfills for flip chip on board assemblies

The effect of thermo-mechanical properties of underfill materials, such as coefficient of thermal expansion (CTE) and Young's modulus, on reliability of Flip Chip on Board (FCOB) under thermal cycling stresses is investigated in this study. Quasi two-dimensional finite element modeling (FEM) viscoplastic stress analysis is combined with an energy partitioning (EP) model for creep-fatigue damage accumulation, to predict the fatigue durability of the flip chip assembly for the given accelerated thermal cycle. Parametric FEM simulations are performed for five different CTEs and five different stiffnesses of the underfill material. The results show that the stiffness of the underfill material plays a crucial role in influencing the fatigue life of FCOB assemblies. The CTE does not have a significant effect on the fatigue life. The eventual goal is to define the optimum design and process parameters of the flip-chip-on-board assemblies in order to maximize the fatigue endurance of the solder joints under cyclic thermal loading environments.
Longitudinal analysis of the quality of orthodontic treatment outcome and stability of occlusal traits

Abstract Objectives To assess the quality and stability of orthodontic treatment outcome relative to the initial malocclusion. Material and methods The study was performed in one public health care clinic in Finland. Study subjects comprised 51 orthodontic patients (age range 12.7–18.7 years). Pre-treatment medical records and lateral skull radiographs were analysed for malocclusion type. The main reasons for orthodontic treatment were mandibular retrognathia, Class II distal bite, deep bite and crowding. At the end of a retention phase (Examination 1), the quality of treatment outcome was assessed using the occlusal morphology and function index (OMFI) and patients were asked about treatment satisfaction. Stability of occlusal traits and patient satisfaction were re-evaluated after a two-year follow-up (Examination 2). Occlusal characteristics descriptive statistics were performed. Results At Examination 1, all six morphological criteria for acceptability were fulfilled by 76% and all functional criteria by 82% of the patients. All OMFI criteria were met by 67% of the patients. At Examination 2, 68% of the patients fulfilled all morphological and 82% all functional criteria of acceptability. At Examination 2, all the OMFI criteria were still met by 64% of the patients and 92% expressed satisfaction with own occlusion. The main reasons for unacceptability were deficiencies in canine relationship and overbite, in addition to functional protrusion interferences. Conclusions In the evaluated health care clinic, patient satisfaction and the quality of treatment outcome were high. However, deep bite showed a tendency for relapse.