Miracle-dz/UniFAR-FTUs huggingface dataset:
Perching and resting—A paradigm for UAV maneuvering with modularized landing gears

A modularized and actuated landing gear framework allows a UAV to stably perch and rest on a wide range of different structures. Perching helps small unmanned aerial vehicles (UAVs) extend their time of operation by saving battery power. However, most strategies for UAV perching require complex maneuvering and rely on specific structures, such as rough walls for attaching or tree branches for grasping. Many strategies to perching neglect the UAV’s mission such that saving battery power interrupts the mission. We suggest enabling UAVs with the capability of making and stabilizing contacts with the environment, which will allow the UAV to consume less energy while retaining its altitude, in addition to the perching capability that has been proposed before. This new capability is termed “resting. ” For this, we propose a modularized and actuated landing gear framework that allows stabilizing the UAV on a wide range of different structures by perching and resting. Modularization allows our framework to adapt to specific structures for resting through rapid prototyping with additive manufacturing. Actuation allows switching between different modes of perching and resting during flight and additionally enables perching by grasping. Our results show that this framework can be used to perform UAV perching and resting on a set of common structures, such as street lights and edges or corners of buildings. We show that the design is effective in reducing power consumption, promotes increased pose stability, and preserves large vision ranges while perching or resting at heights. In addition, we discuss the potential applications facilitated by our design, as well as the potential issues to be addressed for deployment in practice.
VNG technique for a convenient vestibular neuritis rating

ABSTRACT Vestibular Neuritis (VN) joins to the most significant public health concern. A lot of videonystagmographic (VNG) datasets are admitted to clinical assessment methods, which impose a serious problem in term of complexity. The aim of this work is to develop a simple, fast and intelligent method to identify subjects with a high risk of VN disease. This paper proposes a real-time digital signal controller (dsPIC) based system with a digital output display indicating the VN existence. The clinical feature inputs are extracted from the current VNG analysis. The proposed method has been experimented on a database including 73 patients affected by vestibular neuritis (VN) proceeded with saccadic, kinetic and caloric tests for basic measures. Moreover, the VNG characteristics are divided into two groups: VN and HL cases. The obtained classification results have achieved the best precision when applying the supervised multilayer neural network (MNN). As stated in the performance assessment, we recorded more than 0.9576 for accuracy of detected vestibular neuritis supplied by ENT pathologists which reveals the highest Positive Predictive Values with the specialist’s result (PPV = 0.9528, Negative Likehood ratio <0.2). This framework shows ENT application of vestibular dysfunction as a successful tool for automatic VN evaluation without expert intervention.
Maximizing Customer Lifetime value using Dynamic Programming: Theoretical and Practical Implications

Dynamic programming models play a significant role in maximizing customer lifetime value (CLV), in different market types including B2B, B2C, C2B, C2C and B2B2C. This paper highlights the main contributions of applying dynamic programming models in CLV as an effective direct marketing measure. It mainly focuses on Markov Decision Process, Approximate Dynamic Programming (i.e. Reinforcement Learning (RL)), Deep RL, Double Deep RL, finally Deep Quality Value (DQV) and Rainbow models. It presents the theoretical and practical implications of each of the market types. DQV and Rainbow models outperform the traditional dynamic programming models and generate reliable results without overestimating the action values or generating unrealistic actions. Meanwhile, neither DQV nor Rainbow has been applied in the area of direct marketing to maximize CLV in any of the market types. Hence, it is a recommended research direction.
Chloroplast and Total Genomic Diversity in the Endemic Costa Rican Tree Lonchocarpus costaricensis (J. D. Smith) Pittier (Papilionaceae)

Abstract In Mesoamerica, tropical dry forest is a highly threatened habitat, and species endemic to this environment are under extreme pressure. The tree species, Lonchocarpus costaricensis is endemic to the dry northwest of Costa Rica and southwest Nicaragua. It is a locally important species but, as land has been cleared for agriculture, populations have experienced considerable reduction and fragmentation. To assess current levels and distribution of genetic diversity in the species, a combination of chloroplast-specific (cpDNA) and whole genome DNA markers (amplified fragment length polymorphism, AFLP) were used to fingerprint 121 individual trees in 6 populations. Two cpDNA haplotypes were identified, distributed among populations such that populations at the extremes of the distribution showed lowest diversity. A large number (487) of AFLP markers were obtained and indicated that diversity levels were highest in the two coastal populations (Cobano, Matapalo, H = 0.23, 0.28 respectively). Population differentiation was low overall, FST = 0.12, although Matapalo was strongly differentiated from all other populations (FST = 0.16-0.22), apart from Cobano (FST = 0.11). Spatial genetic structure was present in both datasets at different scales: cpDNA was structured at a range-wide distribution scale, whilst AFLP data revealed genetic neighbourhoods on a population scale. In general, the habitat degradation of recent times appears not to have yet impacted diversity levels in mature populations. However, although no data on seed or saplings were collected, it seems likely that reproductive mechanisms in the species will have been affected by land clearance. It is recommended that efforts should be made to conserve the extant genetic resource base and further research undertaken to investigate diversity levels in the progeny generation.
Hedonism on the behavior of consumer society as a global cultural transformation

Submitted: 09 January 2020 Revised: 27 February 2020 Accepted: 18 March 2020 This study deals with changes in consumer behavior based on hedonic desires. The change from consumption to consumerism. This is done on the purchase of four-wheeled vehicles (cars). This research is expected to provide awareness and critical understanding to the public to buy products according to their abilities, not get caught in the capitalist trap. This study uses descriptive qualitative and interpretive, by involving consumers, car marketers, and financial agents as informants. The results show that there has been a transformation in the behavior of consumer societies based on the desire of hedonism that is influenced by global cultural imperialism, such as instant culture and consumerism behavior. Further research needs to be done on consumers in excessive consumption of other products.
Joint Structured Sparsity and Least Entropy Constrained Sparse Aperture Radar Imaging and Autofocusing

For sparse aperture (SA) radar imaging, the phase errors are difficult to be estimated, which challenges the traditional autofocusing for inverse synthetic aperture radar (ISAR) imaging. A novel Bayesian ISAR autofocusing algorithm for SA is proposed. We unfold the sparse Laplace prior to two layers so that the full variational Bayesian inference can be derived. To further exploit the prior knowledge on the structure of radar images, dependencies among adjacent pixels are considered to design a structured sparse prior. In addition, the minimum entropy criterion is utilized to estimate the phase error during the reconstruction of the ISAR image to achieve ISAR autofocusing. The superiority of the proposed method against the traditional sparsity-driven method is validated by the experimental results based on both simulated and measured data.
New evidence on platform workers in Europe: Results from the second COLLEEM survey

Digital labour platforms are a new form of coordinating the provision of labour services enabled by the latest technological revolution. Many authors claim that digital labour platforms have the potential to disrupt the world of work, both positively by boosting participation in the labour market through better matching procedures, and negatively by circumventing regulation and lowering the quality of employment. To assess the impact of digital labour platforms on employment and on working conditions, we need precise estimates of the number of people doing platform work; in addition we need information on what type of services they provide, how frequently these services are provided, how much money is earned as a result of this provision and so on. At the same time, when we talk about the impact of digital labour platforms on working conditions, it is imperative to understand whether platform work is just a side gig as it is often claimed, or whether it represents a major source of income and for whom. Thus, we need to ascertain the regularity, time allocated and income generated from platform work, as well as the employment status of platform workers, since this will provide information as to whether they have other forms of social protection from other jobs. In 2017, the JRC conducted the COLLEEM pilot survey, an initial attempt to provide quantitative evidence on platform work. This report builds on previous findings and contributes by describing the results of the second wave of COLLEEM (2018).
Electrically induced droplet ejection dynamics under shear flow

Droplet nucleation, condensation, and transport is a ubiquitous phenomenon observed in various industrial applications involving power generation and energy conversion to enhance heat transfer. Recent studies have shown that electrowetting (EW) has emerged as a new tool to enhance pool boiling heat transfer. In these applications involving heat transfer through pool boiling, the interplay between the incoming air and an EW-induced jumping droplet is instrumental in determining the overall heat transfer enhancement. This study investigates the transport dynamics of EW-induced droplet ejection in shear flow. A high-density ratio based lattice Boltzmann method is employed to model the ejection dynamics, and a geometry-based contact angle formulation is used to capture the three-phase contact line. We observe a characteristic head vortex at the leading end of the droplet, the strength of which increases with an increase in the shear rate. The droplet angle of flight, aspect ratio, and surface energy are found.
Molecular Imaging of EGFR Kinase Activity in Tumors with 124 I-Labeled Small Molecular

Positron emission tomography (PET) with epidermal growth factor receptor (EGFR) kinasespecific radiolabeled tracers could provide the means for noninvasive and repetitive imaging of heterogeneity of EGFR expression and signaling activity in tumors in individual patients before and during therapy with EGFR signaling inhibitors. We developed the synthesis and 124 Iradiolabeling of the (E)-But-2-enedioic acid [4-(3-[ 124 I]iodoanilino)-quinazolin-6-yl]-amide-(3-morpholin-4-yl-propyl)-amide (morpholino-[ 124 I]-IPQA), which selectively, irreversibly, and covalently binds the adenosine-triphosphate-binding site to the activated (phosphorylated) EGFR kinase, but not to the inactive EGFR kinase. The latter was demonstrated using in silico modeling with crystal structures of the wild type and different gain-of-function mutants of EGFR kinases. Also, this was demonstrated by selective radiolabeling of the EGFR kinase domain with morpholino-[ 131 I]-IPQA in A431 human epidermoid carcinoma cells and Western blot autoradiography. In vitro radiotracer accumulation and washout studies demonstrated a rapid accumulation and progressive retention postwashout of morpholino-[ 131 I]-IPQA in A431 epidermoid carcinoma and in U87 human glioma cells genetically modified to express the EGFRvIII mutant receptor, but not in the wild-type U87MG glioma cells under serum-starved conditions. Using morpholino-[ 124 I]-IPQA, we obtained noninvasive PET images of EGFR activity in A431 subcutaneous tumor xenografts, but not in subcutaneous tumor xenografts grown from K562 human chronic myeloid leukemia cells in immunocompromised rats and mice. Based on these observations, we suggest that PET imaging with morpholino-[ 124 I]-IPQA should allow for identification of tumors with high EGFR kinase signaling activity, including brain tumors expressing EGFRvIII mutants and nonsmall-cell lung cancer expressing gain-of-function EGFR kinase mutants. Because of significant hepatobiliary clearance and intestinal reuptake of the morpholino-[ 124 I]-IPQA, additional [ 124 I]-IPQA derivatives with improved water solubility may be required to optimize the pharmacokinetics of this class of molecular imaging agents.
Complete mitochondrial genome of Bactrocera proprediaphora using next-generation sequencing from China and its phylogenetic analysis

Abstract The complete mitochondrial genome (mitogenome) of Bactrocera proprediaphora (Diptera: Tephritidae: Dacinae) was sequenced and annotated. The mitochondrial genome is 15,829 bp (GenBank No. MN688227) long, containing 73.9% A + T (A 39.5%, C 16.3%, G 9.8%, and T 34.3%), which is the classical structure for insect mitogenome. All PCGs were started with ATN, except ND1 which started with TTG, and 13 PCGs were stopped using TAR (TAA/TAG) as the stop codon. Additionally, the phylogenetic tree confirmed that B. proprediaphora was closely related to B. diaphorus. The current study will enrich the mitogenomes of the fruit flies.
Determinants of eWOM on hospitality CSR issues. In Facebook we trust?

Abstract Social media has emerged as a powerful and successful tool to disseminate information relating to corporate social responsibility (CSR) in different industries, including the hospitality context. Similarly, the media plays a major role in the domain of CSR since news media materializes corporate goals regarding CSR issues. However, no prior studies have explored the main factors that influence electronic word of mouth (eWOM) on CSR issues covered by the media through social media. This research incorporates the characteristics of information (specific) and individuals’ informational predisposition (general) into an integrative model to examine the key predictors of intention to share and comment on negative CSR news covered by a specific media outlet on a particular social networking site (SNS): Facebook. To empirically test the proposed model, 208 Facebook users were surveyed in Spain. The results show that information value, Facebook trust and self-disclosure have a positive impact on eWOM intentions. It also confirmed that source credibility has a positive impact on information value. However, neither significant relationship was found between Facebook trust and privacy concerns, nor between this variable and intentions to share and comment. Finally, theoretical conclusions, managerial implications, and limitations are discussed.
Psychosomatic Inpatient Rehabilitation for People with Depression in Germany

In Germany, inpatient therapy for depression mainly takes place in either health insurance-financed psychiatric hospitals, or in pension insurance-financed, psychotherapy-focused, psychosomatic rehabilitation hospitals. In psychiatric hospitals, the diagnosis is made according to the International Classification of Diseases (ICD), and therapeutic attempts are made to achieve remission, whereas in rehabilitation hospitals, the International Classification of Functioning, Disability and Health (ICF) plays an essential diagnostic role. Accordingly, the main German pension insurance, Deutsche Rentenversicherung, has developed a rehabilitation therapy standard for depressive disorders. In this chapter, we focus on the psychotherapeutic inpatient rehabilitation for patients with depression based on an example of a specialized psychotherapeutic hospital. This example illustrates how psychotherapeutic inpatient rehabilitation can be tailored to the individual’s needs and may include any of the following therapeutic modalities: Cognitive Behavior Therapy (CBT), Schema Therapy, Cognitive Behavioral Analysis System of Psychotherapy (CBASP), pharmacotherapy, group therapy for comorbid conditions, skills training, psychoeducation, occupational therapy (OT), movement therapy, physiotherapy, music therapy, social work, family work, and self-help groups. People with depression may benefit from this service model of psychosomatic inpatient rehabilitation beyond symptom remission, as it focuses on increasing people’s functional level as well as their quality of life.
DIVERSIFIKASI KREDIT, MONITORING, DAN KINERJA PERBANKAN DI INDONESIA

This study aims to determine the banking credit diversification strategy that can control credit risk and credit diversification can increase the profitability of banks in Indonesia. This study also aims to discuss the role of monitoring in the implementation of diversification and its impact on the performance of Indonesian banks. The theoretical benefits of this research contribute to banks, especially in evaluating banking diversification strategy policies. Is the credit diversification strategy can reduce credit risk and improve banking performance or vice versa. For customers / investors, this research is one of the information that can be considered in choosing a safe bank in terms of the level of credit risk and bank profitability. This research method uses descriptive qualitative analysis. The results of this study indicate that credit diversification is the right strategy applied to banks in Indonesia. The government needs to implement further policies that support the implementation of credit diversification, such as conducting credit analysis, monitoring and evaluation.
Geopolitical Risk and Energy Transition in Russia: Evidence from ARDL Bounds Testing Method

One of the current debatable global problems is climate change or global warming as crucial geopolitical risks. The progress of energy transition by considering geopolitical risk has not been considered seriously yet. This paper contributes to the literature by modeling and analyzing energy transition patterns in Russia with emphasis on geopolitical risks factor as a giant fossil fuels producer using the ARDL bounds testing method over the period of 1993–2018. The main results proved long-run negative impact of economic growth, population growth and inflation rate on energy transition of Russia, while CO2 emissions, geopolitical risk, exchange rate and financial openness have positive impacts on energy transition movement in the country. Furthermore, we found out that in the short-run, the relationship between energy transition improvement and economic growth, CO2 emissions, population growth and inflation rate is negative, while geopolitical risk, exchange rate and financial openness are the only variables which accelerate energy transition in the country. As major concluding remarks, Russia’s policy makers should draw attention to the long-run energy plans in the country. Furthermore, lowering dependency of Federals’ budget to the oil and gas revenues would be a useful policy to reduce negative impact of economic growth on energy transition movement in the country. Another recommendation is to determine rapid decarbonizing policies in the country.
Improved empirical formula for 
α
-decay half-lives

The Royer formulas are often used to calculate the $\ensuremath{\alpha}$-decay half-lives [G. Royer, J. Phys. G 26, 1149 (2000); Nucl. Phys. A 848, 279 (2010)]. In recent years, the amount of experimental data on $\ensuremath{\alpha}$ decay has increased and these formulas have been examined again. They describe precisely the favored $\ensuremath{\alpha}$ decays. For unfavored decays, they are less accurate and important deviations may occur between the calculations and experimental data. The underlying physics of this phenomenon has been revealed and an improved formula with only eight parameters is proposed. This formula takes into account both the blocking effect of unpaired nucleons and the contribution of centrifugal potential. Compared with the original formulas and other improvements, our new formula is more simple to use and more accurate. Encouraged by this, the $\ensuremath{\alpha}$-decay half-lives of even-even nuclei and odd-$A$ nuclei with $Z=117$, 118, 119, and 120 are predicted using our improved formula and the universal decay law [C. Qi et al., Phys. Rev. Lett. 103, 072501 (2009)] with the extrapolated ${Q}_{\ensuremath{\alpha}}$ of the WS3+ mass model [N. Wang and M. Liu, Phys. Rev. C 84, 051303(R) (2011)]. The predictions of these two formulas are consistent. However, for $^{293}\mathrm{Ts}$ and $^{294}\mathrm{Og}$, predicted $\ensuremath{\alpha}$-decay half-lives by our improved formula show better agreement with experimental data, indicating that predictions by our improved formula are more reliable and useful for future new superheavy elements and isotopes experimental assignments and identifications. Meanwhile, the features of predicted $\ensuremath{\alpha}$-decay energy and half-lives imply that $N=184$ is the next neutron magic number after $N=126$.
Association of Suicide Risk With Headache Frequency Among Migraine Patients With and Without Aura

Background: Migraines with aura have been associated with suicide in adolescents and young adults, but the association between suicide and migraine frequency has not been determined. This study investigated suicidal ideation and suicide attempts among patients with varying frequencies of migraines, with and without auras. Methods: This cross-sectional study analyzed 528 patients aged between 20 and 60 years from a headache outpatient clinic in Taiwan. All patients completed a set of questionnaires, including a demographic questionnaire, the Migraine Disability Assessment questionnaire, the Hospital Anxiety and Depression Scale, the Beck Depression Inventory, and the Pittsburgh Sleep Quality Index. Suicide risk was evaluated by self-reported lifetime suicidal ideation and attempts. Patients were divided into low-frequency (1–4 days/month), moderate-frequency (5–8 days/month), high-frequency (9–14 days/month), and chronic (≥15 days/month) migraine groups. The association between migraine frequency and suicidality was investigated using multivariable linear regression and logistic regression. Results: The rates of suicidal ideation and suicide attempts were the highest for chronic migraine with aura (ideation: 47.2%; attempts: 13.9%) and lowest in migraine-free controls (2.8%). Migraine frequency was an independent risk factor for suicidal ideation and attempts in patients with aura (both Ptrend < 0.001), but not in patients without auras. Migraine aura and depression were associated with higher risks of suicidal ideation and suicide attempts in patients with migraine. Conclusion: High migraine frequency has a correlation with high suicide risk in patients who experience an aura, but not in other patients with migraine.