Miracle-dz/UniFAR-FTUs huggingface dataset:
Craftivism Between Nationalism and Activism in Ukraine and Belarus

This article outlines the history and significance of Craftivism in Eastern Europe. Using two case studies of artists it investigates the use of the craft language in Eastern Europe and its usability for activism. Do-It-Yourself culture, of which Craftivism is part, rejects the commercialism, gender norms and the conventional lifestyle in the Global North. Use of crafts as a language of political and social struggle allows to convey the message in a less confrontational but nevertheless very pertinent way. The craftivism is a successful language for the feminist political struggle in the Eastern Europe.
Secondary Organic and Inorganic Aerosol Formation from a GDI Vehicle under Different Driving Conditions

This study investigated the primary emissions and secondary aerosol formation from a gasoline direct injection (GDI) passenger car when operated over different legislative and real-world driving cycles on a chassis dynamometer. Diluted vehicle exhaust was photooxidized in a 30 m3 environmental chamber. Results showed elevated gaseous and particulate emissions for the cold-start cycles and higher secondary organic aerosol (SOA) formation, suggesting that cold-start condition will generate higher concentrations of SOA precursors. Total secondary aerosol mass exceeded primary PM emissions and was dominated by inorganic aerosol (ammonium and nitrate) for all driving cycles. Further chamber experiments in high temperature conditions verified that more ammonium nitrate nucleates to form new particles, forming a secondary peak in particle size distribution instead of condensing to black carbon particles. The results of this study revealed that the absorption of radiation by black carbon particles can lead to changes in secondary ammonium nitrate formation. Our work indicates the potential formation of new ammonium nitrate particles during low temperature conditions favored by the tailpipe ammonia and nitrogen oxide emissions from gasoline vehicles.
Factors Affecting Medical Students’ Continuance Intention to Use Mobile Health Applications

Background With the dramatic growth in smartphones, mobile health applications (apps) in the field of healthcare or medicine, which are characterized by strong operability, flexibility and interactivity, provide a supplementary approach to medical learning. The aims of this study were to awaken medical students to pay more attention to the learning function of mobile health app and gain deeper insight into our understanding of the factors influencing medical students’ mobile health apps continuance intention for enhancing practical utilization. Methods A cross-sectional survey was conducted with a self-designed questionnaire administered to medical students at Chongqing Medical University. Data were collected from 450 participants from March to April 2019. SPSS V.25 was used for the descriptive statistical analysis of the results. Smart PLS 3.2. 7 was used to construct a structural equation modelling framework to estimate the influencing factors of medical students’ continuance intention to use mobile health apps. Results The external characteristics of mobile health apps had a positive influence on perceived ease of use (β = 0.378, P < 0.001). Perceived ease of use had a positive impact on perceived usefulness (β = 0.573, P < 0.001). Perceived ease of use (β = 0.195, P = 0.011), perceived usefulness (β = 0.450, P < 0.001) and subjective norms (β = 0.255, P < 0.001) had a positive impact on attitude towards using mobile health apps. Additionally, perceived usefulness (β = 0.202, P < 0.001) and attitude (β = 0.730, P < 0.001) had a remarkable influence on continuance intention. Furthermore, the mediating effect of attitude between perceived usefulness and continuance intention was significant (β = 0.329, P < 0.001). Conclusion Both perceived usefulness and attitude have a significant effect on medical students’ mobile health apps continuance intention. So, we suggest apps providers and developers evoking and maintaining users’ interest in mobile health apps and perfecting apps’ features from various aspect. Also, more attention should be paid on social relationship to introduce medical students to familiarize mobile health apps and strengthen adhesiveness of medical students.
Is the diagnosis of lung cancer effective in decision of smoking cessation period?

Öz Purpose: Lung cancer is one of the most common cancers worldwide and smoking plays an important role in the development of lung cancer. The study aims to determine the impact of a lung cancer diagnosis on the period of smoking habits. Also, we aimed to find out the factors affecting smoking cessation in patients after being diagnosed with lung cancer. Materials and Methods: Our study is a descriptive study with 410 patients diagnosed with lung cancer and who had a history of smoking in a training and research hospital in Izmir between April and December 2018. The sociodemographic characteristics of the patients, smoking history, smoking status after the diagnosis, the duration of smoking cessation after the diagnosis, the relationship between smoking and lung cancer disease were investigated. Results: The mean age of the participants was 60.41±14.85 and 62.7% of the patients were male. Quitting smoking rate was significantly increased and the number of cigarettes smoked daily was decreased after the diagnosis of lung cancer. The rate of quitting smoking after the diagnosis was higher in male patients compared to female patients and the smoking cessation rate was found to be higher in employees. The smoking cessation rate of those who do not use alcohol is significantly higher. The smoking cessation rate was higher in the first year after the diagnosis of lung cancer. Conclusions: This study showed that the majority of the patients had quit smoking after the diagnosis of lung cancer. Amaç: Akciğer kanseri dünyada en sık görülen kanserlerden biri olup, kanser gelişiminde en önemli rolü sigara oynamaktadır. Çalışmamızda akciğer kanseri tanısı almış ve aktif sigara içen hastalarda kanser tanısı aldıktan sonra sigara içme durumlarının nasıl etkilendiği ve bırakma üzerine etkili faktörlerin belirlenmesi amaçlanmıştır. Gereç ve Yöntem: Çalışmamız Nisan-Aralık 2018 tarihlerinde İzmir’de bir eğitim ve araştırma hastanesinde akciğer kanseri tanısı almış ve sigara öyküsü olan 410 kişi ile yapılmış tanımlayıcı ve kesitsel bir araştırmadır. Hastaların sosyo-demografik özellikleri, sigara öyküsü, tanı sonrası sigarayı bırakıp bırakmadığı, sigarayı tanı aldıktan ne kadar surer sonar bıraktığı, sigara kullanımı ile akciğer kanseri hastalığı arasında ilişki incelenmiştir. Bulgular: Yaşlarının ortalaması 60.41±14.85 olan hastaların %62.7’si erkektir. Hastaların akciğer kanseri tanı sonrasında sigarayı bırakmaları anlamlı olarak artmış ve günlük içtikleri sigara sayısı anlamlı olarak azalmştır. Sigara bırakmada erkeklerin kadınlara göre ve çalışanların sigara bırakma oranları oranı yüksek bulundu. Alkol kullanmayanların sigara bırakma oranı anlamlı şekilde fazladır. Sigara bırakma zamanı ilk bir yıl içinde fazladır. Sonuç: Bu çalışma ile aktif sigara içicilerinin büyük bir kısmının akciğer kanser tanısı aldıktan sonra sigarayı bıraktıkları tespit edilmiştir.
Assessing the Effectiveness of Water Quality Best Management Practices for Grazing-Lands

Best management practices (BMPs) aim to reduce bacterial loading caused by grazing cattle. Relatively little is known about the effectiveness of alternative shade, alternative water, rip-rap, and prescribed grazing as potential BMPs. Prescribed grazing evaluated how stocking rate affected bacterial loading. E. coli concentrations in runoff samples were compared between plots with various stocking rates. GPS collars were used to determine how a shade pavilion, water source, or rip-rap effected cattle distribution within a stream and riparian pasture by comparing time cattle spent at a location before and after implementing the BMPs. While plots were stocked or within 14 days of being destocked, E. coli concentrations were significantly higher than destocked pastures. No significant differences were observed between E. coli concentrations in runoff from heavily stocked, moderately stocked, or non-grazed pastures when pastures had been destocked for greater than 14 days. On average, the shade structure reduced cattle's dependence on riparian shade by 30%. The alternative water BMP did not reduce the amount of time cattle spent within the riparian zone; however, the study was limited to one trial. Riparian rip-rap trials were inconclusive; however, preliminary rip-rap trials showed 20 to 40 cm diameter rip-rap was effective at modifying cattle trough preference. Advances in microbial source tracking, specifically Bacteroides, have allowed better identification of bacterial sources. However, genetic variability within some Bacteroides sequences may undermine the accuracy of these molecular markers. Localized gene-copy curves were created from 12 bovine fecal samples from a single
Full-Thickness Massive Rotator Cuff Repair With a Dermal Allograft Using CuffMend Augmentation Technique

Background: Rotator cuff repair using graft augmentation for large-to-massive, full-thickness rotator cuff tears has been reported to have improved clinical outcomes relative to other therapeutic interventions. Although an effective and promising technique, graft augmentation can be technically challenging, particularly with deployment and positioning of the graft. CuffMend is a user-friendly rotator cuff augmentation technique that combines a decellularized dermal allograft with a novel graft deployment device, tendon anchor, and set of lateral knotless, tension-able anchors to allow for a reliable and stable implantation of the graft. Indications: Graft augmentation using CuffMend is indicated for tears with a high risk of retear or incomplete healing. This includes revision tears, poor-quality degenerative tissue, and massive full-thickness rotator cuff tears. Severe glenohumeral osteoarthritic change is the primary contraindication to this technique. Technique Description: The rotator cuff is reduced medially and secured using 3 anchors with sutures passed in a mattress configuration. Graft augmentation is then performed using the CuffMend graft spreader that facilitates placement and attachment of the graft onto the repaired tendon. Results: The patient is recovering as expected and started physical therapy 1 month postoperatively. He is able to perform light activities of daily living and reach the top of his head for daily self-care without pain. He will begin strengthening at 12 weeks postoperatively. Discussion/Conclusion: CuffMend is a new graft augmentation technique that uses a novel graft deployment device for consistent and precise deployment of a decellularized dermal allograft. This facilitates an expedited repair using the graft augmentation technique for optimal clinical and biomechanical outcomes in patients with rotator cuff tears with high risk of retear. Graphical Abstract This is a visual representation of the abstract.
Energy-Efficient UAV Movement Control for Fair Communication Coverage: A Deep Reinforcement Learning Approach

Unmanned Aerial Vehicles (UAVs) are considered an important element in wireless communication networks due to their agility, mobility, and ability to be deployed as mobile base stations (BSs) in the network to improve the communication quality and coverage area. UAVs can be used to provide communication services for ground users in different scenarios, such as transportation systems, disaster situations, emergency cases, and surveillance. However, covering a specific area under a dynamic environment for a long time using UAV technology is quite challenging due to its limited energy resources, short communication range, and flying regulations and rules. Hence, a distributed solution is needed to overcome these limitations and to handle the interactions among UAVs, which leads to a large state space. In this paper, we introduced a novel distributed control solution to place a group of UAVs in the candidate area in order to improve the coverage score with minimum energy consumption and a high fairness value. The new algorithm is called the state-based game with actor–critic (SBG-AC). To simplify the complex interactions in the problem, we model SBG-AC using a state-based potential game. Then, we merge SBG-AC with an actor–critic algorithm to assure the convergence of the model, to control each UAV in a distributed way, and to have learning capabilities in case of dynamic environments. Simulation results show that the SBG-AC outperforms the distributed DRL and the DRL-EC3 in terms of fairness, coverage score, and energy consumption.
Partition-Based Nonstationary Covariance Estimation Using the Stochastic Score Approximation

Abstract We introduce computational methods that allow for effective estimation of a flexible nonstationary spatial model when the field size is too large to compute the multivariate normal likelihood directly. In this method, the field is defined as a weighted spatially varying linear combination of a globally stationary process and locally stationary processes. Often in such a model, the difficulty in its practical use is in the definition of the boundaries for the local processes, and therefore, we describe one such selection procedure that generally captures complex nonstationary relationships. We generalize the use of a stochastic approximation to the score equations in this nonstationary case and provide tools for evaluating the approximate score in operations and O(n) storage for data on a subset of a grid. We perform various simulations to explore the effectiveness and speed of the proposed methods and conclude by predicting average daily temperature. Supplementary materials for this article are available online.
Photometric and statistical comparisons of the old open cluster M67 (NGC 2682) using KFISP and Gaia EDR3 astrometry

ABSTRACT We present the BV photometric observations of the open cluster M67 using the Kottamia Faint Imaging Spectro-Polarimeter (KFISP), mounted at the 74-inch telescope. We build three colour-magnitude diagrams of the Gaia EDR3 and the BV. We derived the photometric and astrometric parameters of the cluster. The mean parallax is 1.167 mas (distance is 857 ± 22 pc). The age and the reddening E(B-V) of the open cluster are 4.00 Gyr and 0.03 mag, respectively. We identified 434 members from the Gaia EDR3, with a probability >70%. The mean proper motion is obtained as mas/yr and mas/yr. We used statistical comparisons to test the quality of the observations taken from the KFISP. The statistical comparisons in the BV bands showed that there are no significant differences between observations and published catalogues.
Flexural vibration of multistep rotating Timoshenko shafts using hybrid modeling and optimization techniques

In this paper, the flexural vibration of uniform and non-uniform rotating shafts based on the Timoshenko beam theory is investigated. Considering shear deformation and gyroscopic effects to build an exact framework of a solution, the fourth-order differential equation of vibration is solved by an analytical method. The overall transfer matrix of the system formed by a series of flexible distributed in addition to lumped elements is achieved. The results obtained by the distributed lumped modeling technique (DLMT) are verified with other techniques. The damped frequencies obtained by the hybrid modeling method for a multistep gas turbine rotor system using the Euler–Bernoulli and Timoshenko beam theories are compared with the results of the transfer matrix method (TMM). It is shown that the presented method provides highly accurate results, while with no compromise, it can be simply and effectively employed for complex systems. It is also shown how the Hooke and Jeeves and the ant colony optimization (ACO) besides the direct enumeration method can be applied to obtain the damped natural frequencies of complicated vibrational systems such as the gas turbine rotors. The comparison between the frequency and damping ratio values obtained by the optimization and direct enumeration methods shows less than 1% error for different cases.
Selectable Growth and Electronic Structures of Monolayer 1T‐VSe2 and V5Se8 Films on Bilayer Graphene

Intercalating magnetic atoms in 2D transition‐metal dichalcogenides (TMDCs) is a feasible route for fabricating 2D magnetic materials. As a 2D‐TMDC, the ground state of monolayer (ML) 1T‐VSe2 should be the charge‐density‐wave state rather than the ferromagnetic state. In this study, magnetism is induced in 1T‐VSe2 via the realization of selectable molecular beam epitaxial growth of both ML 1T‐VSe2 and ML V5Se8 films on a bilayer graphene substrate. The morphologies of the grown 1T‐VSe2 and V5Se8 films are characterized using scanning tunneling microscope, which showed differences in the heights of the domains. Subsequently, combining in situ X‐Ray photoemission spectroscopy measurements, it is determined that the grown V5Se8 film contained 26.7% more V atoms than the 1T‐VSe2 film, thereby confirming the chemical stoichiometry of the created samples. In addition, using in situ angle‐resolved photoemission spectroscopy measurements, the different electronic structures of the ML 1T‐VSe2 and ML V5Se8 films are studied. The results obtained indicate that the method applied is an effective way for realizing selective growth of 1T‐VSe2 or V5Se8 films, while providing significant information on their electronic structure differences, which can aid in investigating the magnetic properties of V5Se8.
Physical Activity, Body Mass Index (BMI) and Abdominal Obesity of Pre-Adolescent Children in the Region of Thrace, NE Greece, in Relation to Socio-Demographic Characteristics

This study aimed to explore the prevalence of overweight, obesity, and abdominal obesity, and define predictive factors of their occurrence among pre-adolescents in the region of Thrace, NE Greece. A secondary aim was to record physical activity at different times (schooldays, weekends, holidays) and explore associations with characteristics such as gender, overweight and obesity, and socio-demographic conditions. A cross-sectional study was conducted involving children aged 11–12 years. Participating children were measured for height, weight, and waist circumference, and their parents answered a questionnaire. In total, 1929 children were included. Prevalence of overweight was 31.5%, prevalence of obesity 17%, and only 1% of children were underweight. Abdominal obesity was detected in 20.3% of the sample. Overweight and obesity were more frequent in males, who also had higher mean values of Body Mass Index-for-age z-scores (BMIaz) and Waist-to-Height ratio (WtHR). Obesity rates were higher among those not participating in physical activities; however, no significant difference was observed between normal-weight, overweight and obese children in the time spent for organized athletic activities or free play. Logistic regression analysis showed that the probability for overweight/obesity was higher in boys (OR = 1.39, 95% CI = 1.16–1.66) and lower in children whose fathers had a higher educational level (OR = 0.75, 95% CI = 0.60–0.93). The probability for abdominal obesity was also higher in boys (OR = 1.37, 95% CI = 1.10–1.72) and lower in children participating at least one hour/day in an organized physical activity (compared to those with no physical activity (OR = 0.66, 95% CI = 0.51–0.85), and whose father was exercising at least 1–2 times/week (OR = 0.76, 95% CI = 0.591–0.98). In conclusion, the prevalence of overweight and obesity among pre-adolescents in NE Greece was estimated at 48.5%. This is associated with the male gender and not participating in physical activities. The educational level and exercise habits of the father (but not of the mother) affect the probability of obesity and abdominal obesity, respectively.
Oxidative Stress-Related Mechanisms in SARS-CoV-2 Infections

The COVID-19 pandemic caused relatively high mortality in patients, especially in those with concomitant diseases (i.e., diabetes, hypertension, and chronic obstructive pulmonary disease (COPD)). In most of aforementioned comorbidities, the oxidative stress appears to be an important player in their pathogenesis. The direct cause of death in critically ill patients with COVID-19 is still far from being elucidated. Although some preliminary data suggests that the lung vasculature injury and the loss of the functioning part of pulmonary alveolar population are crucial, the precise mechanism is still unclear. On the other hand, at least two classes of medications used with some clinical benefits in COVID-19 treatment seem to have a major influence on ROS (reactive oxygen species) and RNS (reactive nitrogen species) production. However, oxidative stress is one of the important mechanisms in the antiviral immune response and innate immunity. Therefore, it would be of interest to summarize the data regarding the oxidative stress in severe COVID-19. In this review, we discuss the role of oxidative and antioxidant mechanisms in severe COVID-19 based on available studies. We also present the role of ROS and RNS in other viral infections in humans and in animal models. Although reactive oxygen and nitrogen species play an important role in the innate antiviral immune response, in some situations, they might have a deleterious effect, e.g., in some coronaviral infections. The understanding of the redox mechanisms in severe COVID-19 disease may have an impact on its treatment.
Implant-Supported Restoration with Straight and Angled Hybrid Abutments: Digital Image Correlation and 3D-Finite Element Analysis

Objective The aim of this study was to investigate the effect of the hybrid abutment with different angles (0 and 15 degrees) on the stress distribution and deformation on maxillary implant-supported fixed prosthesis, using digital image correlation (DIC) and finite element analysis (FEA). Materials and Methods For DIC, two situations were considered: conventional straight implant placement and implant placement with 15 degrees inclination. Different zirconia mesostructures were milled, one straight and the other with a 15-degree angulation to correct the implant positioning. Then, the zirconia mesostructures were cemented to the titanium base (Ti base), and both groups received a lithium disilicate crown. The DIC technique was performed to measure the deformation generated on the simulated bone surface (150 N loading). For the FEA (in silico), three-dimensional numerical models based on the in vitro setup were modeled using computer-aided design software. All materials were considered elastic, isotropic, and homogeneous. Comparison of both methods showed coherence between the in vitro and in silico results. The von-Mises stress of the implants, Ti base and screw, and the maximum principal stress in the mesostructure and crown were calculated for both conditions. Results The overall surface deformation distributions determined by both techniques were considered similar allowing the model validation. The higher deformation was found in the cervical region with a higher magnitude for the angled hybrid abutment. The same pattern was observed in the stress fields regardless of the analyzed region and structure. Conclusion Based on this study, using an angled hybrid abutment to correct the implant positioning generated higher stress in the implant fixture, surrounding tissue, Ti base, screw, and crown. Therefore, the implant should be positioned axially, whenever possible, to reduce the mechanical complications.