Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of Symmetrical Peak Extraction in Drone Micro-Doppler Classification for Staring Radar

The commercialization of drones has granted the public with unprecedented access to unmanned aviation. As such, the detection, tracking, and classification of drones in radars have become an area in high demand to mitigate accidental or voluntary misuse of these platforms. This paper focuses on the classification of drone targets in a safety context where the concept of Explainable AI is of particular interest. Here, we propose a simple, yet effective, means to extract a salient symmetry feature from the micro-Doppler signatures of drone targets, arising from onboard rotary components. Most importantly, this approach maintains the explainable nature of the employed recognition algorithm as the symmetry feature is directly related to the kinematics of the drones as the targets of interest. A large dataset collected from multiple locations with over 280 minutes of rotary and fixed wing drone flights has been collected and used to demonstrate the generalization capability of this approach.
Crustacea Decapoda from the Rhodes Island Area (Eastern Mediterranean): New Records and an Updated Checklist

Decapod crustaceans are ecologically and commercially important members of marine communities. Faunal surveys constitute essential tools for the understanding of local diversity, especially in areas subjected to significant alterations of community composition due to climate changes, anthropogenic impacts, and biological invasions. Following a literature review and the study of new samples, we hereby update on the Crustacea Decapoda from the Rhodes Island area (Greece), situated in a key position in the eastern Mediterranean Sea. Published data yielded records of 120 species, whereas 28 taxa are recorded here for the first time from the study area. Among them, the collection of Liocarcinus bolivari widens its distribution to the eastern Mediterranean. Details on material examined and distributional/faunal remarks are provided for the species newly recorded and for some other native and alien species rarely reported from Rhodes. The present paper raises the local decapod biodiversity to 148 species, accounting for ~50% of the Hellenic Aegean decapod fauna and provides a useful baseline for analysing the long-term changes in the local fauna and the westward spreading of Lessepsian species. Despite present advances, the lack of records of many common Mediterranean species may be still due to limited fieldwork in some habitats rather than a true absence.
THE USE OF SOCIAL MEDIA FOR PHARMACISTS’ PROFESSIONAL ACTIVITIES IN UNITED ARAB EMIRATES: A DESCRIPTIVE STUDY

Objective: The aim of this study is to assess the perception of patients and pharmacists in the United Arab Emirates about social media uses in health-care delivery. Methods: A cross-sectional survey was distributed among patients and pharmacists residing in Dubai, Sharjah and Abu Dhabi. Their perception of social media uses in delivering health-care services was evaluated by analyzing their attitude toward the benefits and associated risks of social media. Results: The survey study had a total of 267 participants, including 150 patients and 117 pharmacists. Based on the results, 69.2% of the pharmacists agreed that social media, text message, or e-mail can be effectively used by them to improve patient communication. For patients, the study showed that the greatest percentage (77.3%, n=116) utilize both: Disease-related information and information on drugs. About 69.2% of pharmacists chose WhatsApp to be the most used platform, and 60.7% of patients prefer using Instagram as a health-care platform. Conclusion: The use of professional development tools for social networking is likely to continue to evolve. Integrating social media with the practice of pharmacy and patient care will have a positive impact on achieving optimal patient care.
Experimental Observation of Flow Reversal in Thin Liquid Film Flow Falling on an Inclined Plate

A customized particle image velocimetry/planar laser induced fluorescence (PIV/PLIF) experimental method, aiming to capture transient hydrodynamics of solitary waves of inertia-dominated falling liquid films, is presented in this paper. A novel PIV/PLIF technique, which only uses one camera to capture simultaneously both particle image and fluorescence, and meanwhile a post-processing imaging method is also developed, which is able to simultaneously measure both internal velocity field in film and its topology. To validate the fidelity of the novel PIV/PLIF technique, a comparison between experimental results of streamwise velocity profile and film thickness and that of the Nusselt’s prediction at low Reynold number is carried out, and in addition, integral continuity is checked for transient wavy film, both of which shows that they are in good agreement. Based on experimental velocity fields and film topology, pressure distribution inside film is derived with the Poisson equation. Considering characteristics of traveling waves, the experimental results are presented respectively in spatial mode and temporal mode. In spatial mode, capillary wave dynamics are demonstrated out of velocity field, film topology and pressure distribution, which reveals that flow reversal occurs at capillary troughs. In temporal mode, the mechanism of flow reversal at capillary troughs is scrutinized on the basis of high-frequency velocity sampling and the derived pressure gradient. It is shown that flow reversal at capillary troughs is triggered due to occurrence of positive pressure gradient at the back side of the capillary wave crest, rather than the trough upstream as stated by the previous researchers. By elucidating the dynamics of flow reversal, mechanisms for the upper limit of Reynold number with respect to flow reversal underneath capillary wave trough were proposed, which might be the gradually saturated deceleration from the capillary curvature and shorten deceleration duration determined by the wave speed and capillary wave length. Our results should be of interest for optimization of the mass transport model of falling liquid films and shed light on the revealing of flow reversal mechanism.
Nomenclatural changes in Zingiberaceae: Haplochorema is reduced to Boesenbergia

The history of Haplochorema K.Schum. (Zingiberaceae) is reviewed, its morphology is compared to Boesenbergia Kuntze and the molecular phylogenetic position is shown in relation to other Zingiberaceae. Based on a comparative analysis of molecular and morphological data, Haplochorema is reduced to Boesenbergia with eight new combinations. A lectotype for Boesenbergia loerzingii (Valeton) K.Larsen ex M.F. Newman, Lhuillier & A.D.Poulsen is designated here.
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing

Wireless power transfer (WPT) is an emerging paradigm that will enable using wireless to its full potential in future networks, not only to convey information but also to deliver energy. Such networks will enable trillions of future low-power devices to sense, compute, connect, and energize anywhere, anytime, and on the move. The design of such future networks brings new challenges and opportunities for signal processing, machine learning, sensing, and computing. The objective is to make the best use of the RF radiations, spectrum, and network infrastructure to provide cost-effective and real-time power supplies to wireless devices and enable wireless-powered applications. In this paper, we first review recent signal processing techniques to make WPT and wireless information and power transfer (WIPT) as efficient as possible. Topics include high-power amplifier and energy harvester nonlinearities, active and passive beamforming, intelligent reflecting surfaces, receive combining with multi-antenna harvester, modulation, coding, waveform, large-scale (massive) multiple-input multiple-output (MIMO), channel acquisition, transmit diversity, multi-user power region characterization, coordinated multipoint, and distributed antenna systems. Then, we overview two different design methodologies: the model and optimize approach relying on analytical system models, modern convex optimization, and communication/information theory, and the learning approach based on data-driven end-to-end learning and physics-based learning. We discuss the pros and cons of each approach, especially when accounting for various nonlinearities in wireless-powered networks, and identify interesting emerging opportunities for the approaches to complement each other. Finally, we identify new emerging wireless technologies where WPT may play a key role—wireless-powered mobile edge computing, wireless-powered sensing, and wireless-powered federated learning—arguing WPT, communication, computation, sensing, and learning must be jointly designed.
Relationship between Monthly Climatic Variables and Worldwide Confirmed COVID-19 Cases

Most transmittable diseases appear in a specific season and the effect of climate on COVID-19 is of special interest. This study aimed to investigate the relationship between climatic variables and detected COVID-19 cases at the global scale. The total of monthly confirmed cases COVID-19 and climatic data of each country per month from January to April 2020 used in the study. The Pearson correlation coefficient was used to magnitude the relationship between logarithm of COVID-19 cases and climatic variables. While the order of examined climatic variables was estimated by Sobol B-spline smoothing method. The results displayed a significant (p-value < 0.001) weak inverse relationship between logarithm of COVID-19 cases and wind speed (R = -0.33), specific humidity (R = -0.28), dew point temperature (R = -0.23) and air temperature (R = -0.22). It means lower COVID-19 cases were recorded with high wind speed, specific humidity, dew point and air temperature. Moreover, the average confirmed cases in low temperatures are five times more than in high temperatures. In order, climatic factors that affect number of cases COVID-19 are wind speed (Si= 0.123) and air temperature (Si= 0.116). Inverse relationship of COVID-19 cases and air temperature perhaps a positive sign of the possibility of decreasing numbers in the summer months. However, it does not allow one to conclude that governments should weaken their measures to limit the rate of infection of COVID-19 because many socio-economic factors could influence the virus transmission and should be taken into consideration.
Giant molecular cloud catalogues for PHANGS-ALMA: methods and initial results

We present improved methods for segmenting CO emission from galaxies into individual molecular clouds, providing an update to the cprops algorithms presented by Rosolowsky & Leroy. The new code enables both homogenization of the noise and spatial resolution among data, which allows for rigorous comparative analysis. The code also models the completeness of the data via false source injection and includes an updated segmentation approach to better deal with blended emission. These improved algorithms are implemented in a publicly available Python package, pycprops. We apply these methods to 10 of the nearest galaxies in the PHANGS-ALMA survey, cataloguing CO emission at a common 90 pc resolution and a matched noise level. We measure the properties of 4986 individual clouds identified in these targets. We investigate the scaling relations among cloud properties and the cloud mass distributions in each galaxy. The physical properties of clouds vary among galaxies, both as a function of galactocentric radius and as a function of dynamical environment. Overall, the clouds in our target galaxies are well-described by approximate energy equipartition, although clouds in stellar bars and galaxy centres show elevated line widths and virial parameters. The mass distribution of clouds in spiral arms has a typical mass scale that is 2.5× larger than interarm clouds and spiral arms clouds show slightly lower median virial parameters compared to interarm clouds (1.2 versus 1.4).
What makes a good teacher? Comparing the perspectives of students on the autism spectrum and staff

ABSTRACT Involving students on the autism spectrum in decision-making about their education is good practice for inclusion and mandated by the Special Educational Needs and Disability Code of Practice in England. This article reports on two linked studies investigating the perspectives of 12 secondary mainstream students on the autism spectrum aged 11–15 years, and their teachers (n = 10), about teaching and support. Students and teachers agreed that staff members were more likely to focus on the needs of the class rather than the needs of the individual student, which could be very difficult to navigate successfully. In addition, students emphasised the importance of feeling understood and supported in school. However, differences in sensory perceptions and communication meant that students sometimes felt misunderstood by staff, leading to feelings of hurt and frustration. This suggests it is important to understand the needs of individual students on the autism spectrum, and adapt teaching and pastoral strategies accordingly, in order to promote an appropriately inclusive educational environment.
Inconvenient Experiences among Muslim Travelers: An Analysis of the Multiple Causes

This study used a mixed methods approach to investigate Muslim traveler experiences of inconvenience while visiting Korea, combining focus groups and semistructured interviews (a qualitative approach), and questionnaire-based surveying (a quantitative approach). The authors investigated the reliability and validity of a customized structural model by merging covariance-based structural equation modeling (CB-SEM) and partial least squares SEM (PLS-SEM). There were five salient and observable constructs which cause inconvenience for Muslims when visiting Korea. The results showed significant effects on the part of the identified constructs on affective experience, satisfaction, desire, behavior intention, and place attachment. The study findings can guide Korean tourism stakeholders in tackling the issues causing inconvenience for Muslim travelers, as well as informing authorities in other countries and territories.
Incidence, indication and prognosis of ovariohysterectomy in dogs in Abeokuta, Nigeria

Case records of dogs that underwent ovariohysterectomy at the Veterinary Teaching Hospital, Federal University of Agriculture, Abeokuta (FUNAAB) between January, 2010 and December, 2016 were reviewed to determine the prevalence, indication and prognosis of this surgical condition. Data recorded include breed and age of the dogs at presentation and reason for ovariohysterectomy. Information on type of anaesthetic techniques, outcome of the surgery and occurrence and severity of complications were also noted. Ovariohysterectomy was performed in nine out of two thousand, two hundred and eighty five dogs that were presented during this period. The nine dogs included seven breed types which were Rottweiler (2), Samoyed (2), Alsatian (1), Doberman (1), Boerboel (1), Lhasa apso (1) and Pug (1). Mean age of the dogs presented for ovariohysterectomy was 5.7 ± 2.9 years with the age ranging between 18 months and 10 years. Indications for ovariohysterectomy in the dogs were pyometra (4), ovarian adenocarcinoma (2), transmissible venereal tumour (1), intra-uterine foreign body (1) and elective request (1). Surgical outcome was good in seven of the dogs, while one dog died secondary to hypovolemia after surgery and another dog was euthanized a week after surgery due to poor renal function. Five of the dogs had moderate obesity about six months after surgery, while a dog had mammary adenocarcinoma two years after ovariohysterectomy. It was therefore concluded that elective ovariohysterectomy is not routinely performed in dogs at the Veterinary Teaching Hospital, FUNAAB, while most cases are performed for management of reproductive tract diseases. Further data are required to authenticate or disprove the findings in this study. Keywords : Adenocarcinoma, Elective, Ovariohysterectomy, Prevalence, Pyometra
TRANSMISSIBLE VENEREAL TUMOR: CELL PROLIFERATION (AGNOR) AND RESPONSE TO CHEMOTHERAPY CORRELATED WITH CYTOMORPHOLOGICAL CLASSIFICATION

Transmissible venereal tumor (TVT) is a contagious neoplasm of round cells that occurs naturally and that affects mostly the genitalia. The TVT has been classified according to the predominant cell type as follows: linfocytoid, plasmacytoid and mixed. Various degrees of aggressiveness with wide range of biological behavior have been described based on this cell morphology. The present study aimed to evaluate the rate of cell proliferation, by cytochemical AgNOR method, and response to chemotherapy correlated with the cytomorphological classification of TVT. The results of the 22 cases showed that TVT was identified more frequently in female, adults and mixed-breed dogs. Plasmocytoid-classified tumors required a greater number of vincristine sulfate sessions, have higher cell proliferation and were the most resistant to chemotherapy, requiring additional treatment with doxorubicin. Based on these results, we can infer that the plasmacytoid pattern might have a more aggressive behavior compared to other cell types.
The influence of organizational factors to software-as-a-service (SaaS) adoption in Vietnamese enterprises

With the growth of the information technology industry, the literature exploring cloud computing, in particular, SaaS adoption has been developing considerably over the last few years. It is time to take stock of SaaS adoption’s determinant factors and its application to more specific contexts. This study endeavored to investigate the influence of three organizational factors (organizational size, organizational readiness, and top management support) to SaaS adoption in Vietnamese enterprises across sectors. Qualitative method was employed to analyze data gathered from 18 case-study companies. The findings reconfirmed that top management support is the strongest enabler for SaaS adoption while there are still some contradictions between organizational size as well as organizational readiness versus SaaS adoption in the context of a developing country as Vietnam.
Influence of E-Service Quality on Customer Satisfaction & Word of Mouth in App-based Service Industry: A Case on Pathao, Bangladesh

The intents of the present investigation is to identify the influence of e-service quality on customer satisfaction and word of mouth in app-based service industry from Bangladesh. The existing literature was reviewed to discover the dimensions of e-service which were positively associated to the satisfaction of the customer. Multiple researches also indicated positive association between satisfaction and word of mouth. Data were collected by executing survey using a structured questionnaire. Using convenience sampling technique a total of 186 respondents were selected. SPSS (version 24) and PLS software (version 3) were used to analyses the study. From the findings of the study, it was found that, application design, service fulfillment, and customer service have positive and significant influence on the customer satisfaction while the security & privacy of the company app has no significant influence on customer satisfaction. Also, customer satisfaction of e-services has significant influence word of mouth. This study contributes to getting an insight into growing technology & its adaptability.
Three-Dimensional Time-Harmonic Electromagnetic Scattering Problems from Bianisotropic Materials and Metamaterials: Reference Solutions Provided by Converging Finite Element Approximations

A recently developed theory is applied to deduce the well posedness and the finite element approximability of time-harmonic electromagnetic scattering problems involving bianisotropic media in free-space or inside waveguides. In particular, three example problems are considered of which one deals with scattering from plasmonic gratings that exhibit bianisotropy while the other two deal with bianisotropic obstacles inside waveguides. The hypotheses that guarantee the reliability of the numerical results are verified, and the ranges of the constitutive parameters of the media involved for which the finite element solutions are guaranteed to be reliable are deduced. It is shown that, within these ranges, there can be significant bianisotropic effects for the practical media considered as examples. The ensured reliability of the obtained results can make them useful as benchmarks for other numerical approaches. To the best of our knowledge, no other tool can guarantee reliable solutions.
What do we actually measure as music-induced emotions?

The paper presents the results of a systematic review of 61 empirical studies in which emotions in response to music were measured. The analysis of each study was focused on the measurement of emotion components and the conceptualization of emotion both in hypothesis and discussion. The review does not support the claim that music evokes the same emotional reactions as life events do, especially modal emotions. Notably, neither a high intensity of feelings, nor intentionality were confirmed in relation to musical experiences, the emergence of specific action tendencies, or specific physiological changes. Based on the obtained results, it is recommended to use the terms “affect” or “music emotions” with reference to emotions experienced in reaction to music and to abandon the term “emotions” as misleading.
A Context-Aware IoT and Deep-Learning-Based Smart Classroom for Controlling Demand and Supply of Power Load

With the demand for clean energy increasing, novel research is presented in this paper on providing sustainable, clean energy for a university campus. The Internet of Things (IoT) is now a leading factor in saving energy. With added deep learning for action recognition, IoT sensors implemented in real-time appliances monitor and control the extra usage of energy in buildings. This gives an extra edge on digitizing energy usage and, ultimately, reducing the power load in the electric grid. Here, we present a novel proposal through context-aware architecture for energy saving in classrooms, combining Internet of Things (IoT) sensors and video action recognition. Using this method, we can save a significant amount of energy usage in buildings.
Impact of Apo Lipoprotein E Gene Polymorphism on Hepatitis C Virus Disease Progression and Response to Direct Acting Antivirals in the Egyptian Population

Background: Hepatitis C virus infection is a major health problem in Egypt. Apo lipoprotein E and lipid metabolism are closely associated with the life cycle of the virus and play an important role in facilitating this infection. Objectives: To identify the role of apolipoprotein E gene polymorphism on hepatitis C virus disease progression and response to direct-acting antivirals (DAAs). Methods: We included twenty patients with chronic hepatitis C virus infection (CHC) from those who failed to respond to DAAs treatment and 76 subjects from responders. Apo lipoprotein E genotypes were determined using PCR restriction enzyme fragment length polymorphism (RFLP). Results: Apolipoprotein genotype E3/E3 was prevalent in 75.9% of patients. The distribution for the rest of genotypes was 16.9%, 3.6%, 2.4% and 1.2 % for Apo E3/E4, E2/E3, E4/E4, and E2/E2 respectively. No statistically significant difference was found regarding any of the Apo E genotypes with liver cirrhosis or response to therapy. Conclusions: No significant impact for any Apo E genotypes on CHC disease severity or response to therapy with direct-acting antivirals was detected among Egyptian patients.