Miracle-dz/UniFAR-FTUs huggingface dataset:
The Serological Properties of Eutypa Armeniacae Mycelium and Ascospores

In epidemiological studies of the apricot vascular pathogen Eutypa armeniacae Hansf. & Carter in this laboratory (Moller and Carter 1965; Carter and Moller 1967) some diagnostic problems have been encountered. The pathogen is sufficiently variable in culture to be confused with other Ascomycetes, such as species of Valsa and Cryptovalsa which may colonize dead vascular tissue below pruning wounds which have been invaded by E. armeniacae. It is also difficult to differentiate E. armeniacae ascospores from those of related Ascomycetes caught in spore traps during wet weather.
Dark Proteome of Newly Emerged SARS-CoV-2 in Comparison with Human and Bat Coronaviruses

Recently emerged Wuhan’s novel coronavirus designated as SARS-CoV-2, a causative agent of coronavirus disease 2019 (COVID-19) is rapidly spreading its pathogenicity throughout the world now. More than 4000 mortalities have occurred worldwide till the writing of this article and this number is increasing every passing hour. World Health Organization (WHO) has declared it as a global public health emergency. The multiple sequence alignment data correlated with already published reports on SARS-CoV-2 indicated that it is closely related to Bat-Severe Acute Respiratory Syndrome like coronavirus (Bat CoV SARS-like) and well-studied Human SARS. In this study, we have exploited the complementary approach to examine the intrinsically disordered regions in proteome of SARS-CoV-2 using Bat SARS-like and Human SARS CoVs as comparative models. According to our findings, SARS-CoV-2 proteome contains a significant amount of ordered proteins except Nucleocapsid, Nsp8, and ORF6. Further, cleavage sites in replicase 1ab polyprotein are found to be highly disordered. We have extensively investigated the dark proteome in SARS-CoV-2 which will have implications for the structured and unstructured biology of SARS or SARS-like coronaviruses. Significance The infection caused by Novel Coronavirus (SARS-CoV-2) is responsible for the current pandemic that cause severe respiratory disease and pneumonia-like infection in humans. Currently, there is no such in-depth information on protein structure and function available in public domain and no effective anti-viral or vaccines are available for the treatment of this infection. Our study provides comparative order and disorder-based proteome information with Human SARS and Bat CoV that may be useful for structure-based drug discovery.
Not All Scientists Are Equal: Role Aspirants Influence Role Modeling Outcomes in STEM

Abstract Three experiments examined how role aspirants’ (i.e., people exposed to role models) views of scientists’ exceptional talent affected motivation. Study 1 demonstrated that when exposed to a scientist whose success is associated with effort (i.e., Thomas Edison), rather than inborn talent (i.e., Albert Einstein), role aspirants’ motivation increased. Study 2 found that role aspirants benefitted less from exposure to Einstein than to a non-famous scientist. Study 3 replicated and supplemented Studies 1 and 2 by further examining the directionality of motivation. Exposure to Einstein and Edison had opposing effects on motivation relative to a non-famous scientist, due to the different views role aspirants hold of their success. These results suggest that role aspirants are critical in determining role modeling outcomes.
A Two Stage Method for the Multiple Traveling Salesman Problem

The variation of the traveling salesman problem (TSP) with multiple salesmen (m-TSP) has been studied for many years resulting in diverse solution methods, both exact and heuristic. However, the high difficulty level on finding optimal (or acceptable) solutions has opposed the many efforts of doing so. The proposed method regards a two stage procedure which implies a modified version of the p-Median Problem (PMP) alongside the TSP, making a partition of the nodes into subsets that will be assigned to each salesman, solving it with Branch & Cut (B&C), in the first stage. This is followed by the routing, applying an Ant Colony Optimization (ACO) metaheuristic algorithm to solve a TSP for each subset of nodes. A case study was reviewed, detailing the positioning of five vehicles in strategic places in the Mexican Republic.
Design of load-independent class-E inverter with MOSFET gate-to-drain and drain-to-source parasitic capacitances

: This paper presents a numerical design approach of the load-independent class-E inverter with MOSFET gate-to-drain and drain-to-source parasitic capacitances. The design curves of the load-independent class-E inverter are also given. A design example is shown along with its LTspice simulation and laboratory experiment. By applying the proposed design approach, there are no changes in the output-voltage waveforms and all the switch-voltage waveforms satisfy the zero-voltage-switching (ZVS) condition even the load-resistance value varies from the desired one without applying any tuning processes. Additionally, the results obtained from the LTspice simulation and laboratory experiment show quantitative agreement with the numerical predictions, which shows the eﬀectiveness of the proposed design approach and design curves of the load-independent class-E inverter with MOSFET gate-to-drain and drain-to-source parasitic capacitances given in this paper.
Existence of periodic positive solutions to nonlinear Lotka-Volterra competition systems

Abstract. We investigate the existence of positive periodic solutions of a nonlinear Lotka–Volterra competition system with deviating arguments. The main tool we use to obtain our result is the Krasnoselskii fixed point theorem. In particular, this paper improves important and interesting work [X.H. Tang, X. Zhou, On positive periodic solution of Lotka–Volterra competition systems with deviating arguments, Proc. Amer. Math. Soc. 134 (2006), 2967–2974]. Moreover, as an application, we also exhibit some special cases of the system, which have been studied extensively in the literature.
Electronic band-gap integrated low mutual coupling dual-band MIMO antenna

ABSTRACT In this paper, a reduced mutual coupling dual-band multiple-input-multiple-output (MIMO) antenna is reported. A thin rectangular slot is incorporated into an unlicensed 5.2 GHz band rectangular patch antenna (RPA) to excite another industrial, scientific and medical (ISM) 2.4 GHz band. In the MIMO configuration, antennas are closely placed at a distance of and the mutual coupling between antenna elements is suppressed by incorporating a dual-band electronics-bandgap (EBG) structure. A mushroom kind of EBG arrangement with two different square-shaped plates on the top and the bottom of the EBG is done to exhibit dual-band rejection characteristics. MIMO communication parameters, envelope correlation coefficient (ECC), diversity gain (DG), and multiplexing efficiency ( ) are calculated exhibiting excellent performance of the proposed antenna. Prototype of the antenna is fabricated and good agreement is found amongst simulation and measured results.
Medium Access-Based Scheduling Scheme for Cyber Physical Systems in 5G Networks

The development of the 5G mobile communication standard attempts to meet the future needs of data users. The impact of Cyber Physical Systems (CPS) is crucial in Internet of Things (IoT) and other emerging technologies. The design of medium access mechanisms for CPS such as radio resource scheduling schemes has a significant effect on network performance. Recent literature shows that limited work is available on uplink scheduling schemes, particularly in the 5G domain. Planning a network that can address the modern needs of users entails efficient CPS scheduling mechanisms such that resources are amicably distributed between users of contrasting priorities. The prime focus of this work is to design and develop an uplink radio resource scheduling framework for CPS-based future networks such as 5G. In the designed framework, scarce radio resources are sought to be distributed efficiently according to the service-based needs of users. The proposed scheduling scheme is a service aware (SA) scheduler designed for CPS in accordance with the 5G network peculiarities, intended to achieve higher throughput and reduced latency. The proposed SA scheduler supports multi-bearer traffic and is capable of providing resources in adverse channel conditions in an efficient manner. The SA scheduling mechanism’s performance is evaluated and compared with renowned scheduling algorithms such as blind equal throughput (BET), maximum throughput (MT), and proportional fair (PF) scheduling schemes. The simulation results obtained in a cellular environment demonstrate that the SA scheduler achieves acceptable cell throughput and end-to-end delay results in all scenarios and out-performs other contemporary scheduling schemes.
Assessing Safety and Suitability of Old Trails for Hiking Using Ground and Drone Surveys

Hiking is a popular recreational activity and to cater to public demand, it is apt to increase the number of hiking trails. Various methodologies have been proposed to evaluate the suitability of forest trails to be constructed as hiking trails, but they can be costly and require relevant knowledge in analyzing digital information through a high-throughput dataset. Therefore, there is a need to come up with a simple method to obtain first-hand information on the trail condition, particularly considering the aspects of safety and suitability to hikers, using both on-ground and aerial observations. In this study, we introduce a new assessment approach to analyze and select old forest trails to be reconstructed as new hiking trails. This is useful for park managers who prioritize safety, comfort, and aesthetic features of the recreation site for their visitors. Trail condition assessment was carried out along the trail whereby a 2×2 m sampling plot was constructed at every 100 m. Aerial drone survey was conducted to produce an ortho-mosaic that revealed the percentage of exposed trail from above. Potential phytotourism products and scenic spots were identified and recorded for their locations along the trail to promote the aesthetic value of the recreation site. A strength distribution plot was prepared based on the trail condition, canopy coverage, and aesthetic features along the trail that were categorized using three altitude ranges (n ≤ 150 m, 150 < n < 250 m, n ≥ 250 m a.s.l.). This is to assess the trade-offs in safety, comfort, and aesthetic features along the trail. The development of this methodology offers a direct and cost-effective, yet informative approach to evaluate the quality of a potential hiking trail, thus could effectively aid in the promotion of nature-based tourism.
Impacts of Assimilating ATMS Radiances on Heavy Rainfall Forecast in RMAPS-ST

The Advanced Technology Microwave Sounder (ATMS) mounted on the Suomi National Polar-Orbiting Partnership (NPP) satellite can provide both temperature and humidity information for a weather prediction model. Based on the rapid-refresh multi-scale analysis and prediction system—short-term (RMAPS-ST), we investigated the impact of ATMS radiance data assimilation on strong rainfall forecasts. Two groups of experiments were conducted to forecast heavy precipitation over North China between 18 July and 20 July 2016. The initial conditions and forecast results from the two groups of experiments have been compared and evaluated against observations. In comparison with the first group of experiments that only assimilated conventional observations, some added value can be obtained for the initial conditions of temperature, humidity, and wind fields after assimilating ATMS radiance observations in the system. For the forecast results with the assimilation of ATMS radiances, the score skills of quantitative forecast rainfall have been improved when verified against the observed rainfall. The Heidke skill score (HSS) skills of 6-h accumulated precipitation in the 24-h forecasts were overall increased, more prominently so for the heavy rainfall above 25 mm in the 0–6 h of forecasts. Assimilating ATMS radiance data reduced the false alarm ratio of quantitative precipitation forecasting in the 0–12 h of the forecast range and thus improved the threat scores for the heavy rainfall storm. Furthermore, the assimilation of ATMS radiances improved the spatial distribution of hourly rainfall forecast with observations compared with that of the first group of experiments, and the mean absolute error was reduced in the 10-h lead time of forecasts. The inclusion of ATMS radiances provided more information for the vertical structure of features in the temperature and moisture profiles, which had an indirect positive impact on the forecasts of the heavy rainfall in the RMAPS-ST system. However, the deviation in the location of the heavy rainfall center requires future work.
Modularity allows classification of human brain networks during music and speech perception

We investigate the use of modularity as a quantifier of whole-brain functional networks. Brain networks are constructed from functional magnetic resonance imaging while subjects listened to auditory pieces that varied in emotivity and cultural familiarity. The results of our analysis reveal high and low modularity groups based on the network configuration during a subject's favorite song, and this classification can predict network reconfiguration during the other auditory pieces. In particular, subjects in the low modularity group show significant brain network reconfiguration during both familiar and unfamiliar pieces. In contrast, the high modularity brain networks appear more robust and only exhibit significant changes during the unfamiliar music and speech. We also find differences in the stability of module composition for the two groups during each auditory piece. Our results suggest that the modularity of the whole-brain network plays a significant role in the way the network reconfigures during varying auditory processing demands, and it may therefore contribute to individual differences in neuroplasticity capability during therapeutic music engagement.
Intrusion Detection Based on Spatiotemporal Characterization of Cyberattacks

As attack techniques become more sophisticated, detecting new and advanced cyberattacks with traditional intrusion detection techniques based on signature and anomaly is becoming challenging. In signature-based detection, not only do attackers bypass known signatures, but they also exploit unknown vulnerabilities. As the number of new signatures is increasing daily, it is also challenging to scale the detection mechanisms without impacting performance. For anomaly detection, defining normal behaviors is challenging due to today’s complex applications with dynamic features. These complex and dynamic characteristics cause much false positives with a simple outlier detection. In this work, we detect intrusion behaviors by looking at number of computing elements together in time and space, whereas most of existing intrusion detection systems focus on a single element. In order to define the spatiotemporal intrusion patterns, we look at fundamental behaviors of cyberattacks that should appear in any possible attacks. We define these individual behaviors as basic cyberattack action (BCA) and develop a stochastic graph model to represent combination of BCAs in time and space. In addition, we build an intrusion detection system to demonstrate the detection mechanism based on the graph model. We inject numerous known and possible unknown attacks comprising BCAs and show how the system detects these attacks and how to locate the root causes based on the spatiotemporal patterns. The characterization of attacks in spatiotemporal patterns with expected essential behaviors would present a new effective approach to the intrusion detection.
SUBSTANTIATION OF COTTON IRRIGATION REGIME ON MEADOW-ALLUVIAL SOILS OF THE KHOREZM OASIS

The article provides a comparative analysis of the establishment of cotton irrigation regimes on irrigated meadow alluvial soils of the Khorezm region of Uzbekistan from a groundwater level of 2,0 - 3,0 m based on the methods of the Research Institute for Breeding, Seed and Agricultural Technology of Cotton Cultivation and FAO. Experiments on the irrigation regime of cotton were carried out with the following variants of irrigated soil moisture: 70-70-60%, 70-80-60% and 70-80-60% (increased irrigation rates by 30 %) Maximum field moisture capacity MFMC. To establish the irrigation regime for cotton according to the FAO method, the program CROPWAT and AquaCrop are used. The comparison of the results showed that, corresponding to the FAO method, the number of irrigations by 4-6 times more (given in small irrigation norm amounts that`s why numbers of watering multiplies) than by the method of the Research Institute for Breeding. The best results were obtained for creating a meliorative reclamative condition for the growth and development of cotton in the experimental plots, provided that the over-irrigation moisture in the soil was maintained at 70-80-60% of the Ultimate Field Moisture Capacity (UFMC). During the growing season, followings are necessary: light soil that was irrigated 6 times, in the cotton development phase according to the scheme 1-4-1, irrigation norms 437-825 m3/ha, irrigation norms 3641-3676 m3/ha, yield was 4.02 t/ha, an average mechanical structure of the soil must be irrigated 5 times, based on the 1-4-0 scheme, with irrigation norms of 494-664 m3/ha and irrigation norms of 3090-3133 m3/ha, yield 4.01 t/ha, heavy mechanical soil should be irrigated 4 times, corresponding to the scheme 1-3-0, with irrigation norms of 541-753 m3/ha and irrigation norms of 2766-2786 m3/ha, yield 3.93 t/ha. Compared with the production (control) option, the cotton yield was more than 0.98 t/ha, 0.93 t/ha and 0.88 t/ha.
The molecular genetics of haemochromatosis

Haemochromatosis is the most common single gene disorder to afflict North- West European populations. It is probably the most common genetic disorder of iron metabolism worldwide. As many as 1 in 250 people in the UK are affected and although the phenotype causes only a mild increase in gastrointestinal iron absorption a proportion of affected individuals will accumulate sufficient iron over their life-time to cause cirrhosis and hepatocellular carcinoma. Venesection treatment instituted before cirrhosis has established ensures a normal life expectancy, but clinical presentation is often late in life after irreversible organ injury has occurred. Identification of people at risk in the early, asymptomatic stage by measurements of iron status is unreliable. The genetic defect responsible for haemochromatosis has been sought in the hope that its identification might facilitate early diagnosis and that studies on the gene product would lead to a greater understanding of the mechanisms of mammalian iron absorption. Genetic linkage to HLA-A3 placed the gene responsible for haemchromatosis in, or close to, the major histocompatibilty complex (MHC) on the short arm of chromosome 6 and a positional cloning strategy has been adopted. This thesis describes work directed to the identification of the haemochromatosis gene by positional cloning. The region telomeric to the MHC was mapped using yeast artificial chromosomes, from which new microsatellites were isolated. These markers were used in linkage disequilibrium analyses and the mapping of a recombination breakpoint that defined a haemochromatosis gene region. This region was physically mapped in fine detail and positional candidates sought by EST database analysis. Before a systematic search for genes in the region began a strong positional candidate was reported (Feder et al 1996). Analysis of this mutation in patients from the UK confirmed this to be the ancestral haemochromatosis mutation.
Indoor human face following with environmental fisheye cameras and blimp

ABSTRACT A combination of fixed fisheye camera system and a blimp performed the task of human following in an indoor environment in this paper, focusing on tracking the subject's face. Hierarchical control algorithm is used to combine information from fisheye cameras and blimp's camera to track the face to handle common human's translation and rotation movements. In this way, even when the face is not visible in the blimp's camera, the relative position between the blimp and the person is still available from fisheye cameras. The blimp can be controlled to move closer to the face, where it should be detectable. If the face can be detected and matched with the position of the person, the blimp can use it to adjust its position for a better track of the face. An experiment was conducted inside an office environment to demonstrate human following behavior of the blimp. With the face invisible to the blimp's camera 34.6 % of the experiment time, it could still move to recover the track of the face, using information from the fisheye cameras. GRAPHICAL ABSTRACT
The Role of Accommodation and Food Service Industry to The Development of Tourism In Jawa-Bali

The Role of Accommodation and Food Service Industry which is measured by its contribution, employment and its affecting factors, employment elasticity, as well as labor productivity towards economy, particulary tourism, has not been optimised. This research aims to analyse: (1) the impact of Provincial Minimum Wage (PMW), Gross Regional Domestic Product (GRDP), the Number of Businesses, and Inflation on employment in Accommodation and Food Service Industry; (2) its contribution toward economy, employment, employment elasticity, and labor productivity in the given industry. The analytical tools used in this research are Descriptive Statistics and Pooled Data Regression Model (FEM and REM Approaches). The data being analysed is secondary data series 2014-2018 and cross sectional which is taken (provinces in Jawa-Bali) and respective to this research problem and goal. The result shows that the factors influencing employment rate positively and significantly are GRDP and inflation, whilst those affecting insignificantly are PMW and the number of businesses. The average contribution during 2015-2018 was 7.43% annually, whereas in Bali and DIY, the contribution was 23.17% and 10.21%, respectively. The employment rate per business averaged to 497 people with the average growth of employment in the given industri of about 14.22% annually. The employment elasticity was 0.63 and labor productivity per person averaged to IDR 84.99 million higher than national average of IDR 53.84 million/person in 2018. Consequently, in order to increase output, high multiplier effect in economy, stable inflation (3%-4% annually), and prudential PMW policy are required
Do Dr. Google and Health Apps Have (Comparable) Side Effects? An Experimental Study

Googling and using apps for health-related information are highly prevalent worldwide. So far, little is known about the emotional, body-related, and behavioral effects of using both Google and health-related apps. In our experimental study, bodily symptoms were first provoked by a standardized hyperventilation test. A total of 147 participants (96.6% students) were then randomly assigned to one of three conditions: Googling for the causes of the currently experienced bodily symptoms, using a medical app to diagnose the experienced symptoms, and a waiting control condition. Health-related Internet use for symptoms led to stronger negative affect, increased health anxiety, and increased need to consult a physician compared with the control condition. Googling and using the medical app showed comparable adverse emotional and behavioral effects. The findings are in line with current models of cyberchondria in which health-related Internet use represents an essential factor in maintaining and amplifying emotional distress.