Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Cell – Averaging Constant False Alarm Rate Method in Homogeneous and Multiple Target Environment

– Constant False Alarm Rate (CFAR) Detection is an adaptive algorithm used in Radar systems to detect the target echoes against a background of noise and clutter. The role of the constant false alarm rate circuit is to determine the threshold above which any returning signal or echo can be considered probably to be originated from a target. In most radar systems, the threshold is set to achieve a required false alarm rate. The Cell Averaging CFAR (CA CFAR) works very well in homogeneous environment and single target situations. However, its performance is limited to isolated targets and homogeneous environment. But the targets are not always isolated. Two or more targets may be present in the same reference window. In this paper a modified form of CA CFAR detector is discussed. The threshold behaviour of CA CFAR in multi-target case, and the detection performance of modified CA CFAR are also discussed. Simulations are carried out using MATLAB for analyzing target masking and detection probability.
Groundwater Storage Changes in the Major North African Transboundary Aquifer Systems during the GRACE Era (2003–2016)

Groundwater is an essential component of the terrestrial water cycle and a key resource for supplying water to billions of people and for sustaining domestic and economic (agricultural and industrial) activities, especially in arid and semi-arid areas. The goal of this study is to analyze the recent groundwater changes which occurred in the major North African transboundary aquifers in the beginning of the 21st century. Groundwater storage anomalies were obtained by removing soil moisture in the root zone (and surface water in the case of the Nubian Sandstone Aquifer System) from the terrestrial water storage anomalies estimated using the Gravity Recovery and Climate Experiment (GRACE) over the 2003–2016 time period. Spatio-temporal changes in groundwater storage contrast significantly among the different transboundary aquifers. Low changes (lower than 10 km3) were observed in the Tindouf Aquifer System but they were found to be highly correlated (R = 0.74) to atmospheric fluxes (precipitation minus evapotranspiration, P − ET) at annual scale. The GRACE data revealed huge water loss in the North Western Sahara and the Nubian Sandstone Aquifer Systems, above 30 km3 and around 50 km3, respectively. In the former case, the aquifer depletion can be attributed to both climate (R = 0.67 against P − ET) and water abstraction, and only to water abstraction in the latter case. The increase in water abstraction results from an increase in irrigated areas and population growth. For these two aquifers, a deceleration in the water loss observed after 2013 is likely to be attributed either to an increase in rainfall favoring rain-fed agriculture or to measures taken to reduce the over-exploitation of the groundwater resources.
Determinants Sorghum Market among Smallholder Farmers in Kafta Humera District Tigeray Ethiopia

Markets are important for economic growth and development of a given country to ensure sustainable supply of food. Failure of market leads to failure of adoption of new technology which is necessary for increasing productivity. Sorghum has been considered as a strategic crop by the Ethiopian government aiming at enhancing food security and essential source of income for farmers as whole economic benefits to the country. Smallholder’s farmers producing about 95 percent of the national agricultural production increasing market participation among smallholder farmers have a big opportunity to boost their living standards. The objective of this study was analyzing factors determining smallholder sorghum farmer decision to participate in output market and level of marketed output smallholder farmers in Kafta-Humera district of Tigeray Ethiopia. A two stage sampling technique was used to select 289 sample farmers who were interviewed using a semistructured questionnaire to obtain data pertaining to sorghum production during the year 2016/2017. Descriptive and Tobit regression analyses were used to determine the key factors that influence household participation in the market in terms of volumes of product sales. The study Original Research Article Meleaku et al.; SAJSSE, 8(1): 1-13, 2020; Article no.SAJSSE. 56946 2 identified that quantity of sorghum supplied to the market was positively affected by credit, extension contact, training, sorghum farm size, current price of sorghum and education, while family size and lagged price of sesame negatively affected. These indicate that there is a room to increase in supply and intensity of sorghum in the study area. Therefore, government authorities and other concerned bodies should take into consideration the mentioned demographic, socioeconomic and institutional factors to increase supply of sorghum to the market in study area.
In-field hyperspectral imaging: An overview on the ground-based applications in agriculture

The measurement of vegetation indexes that characterise the plants growth, assessing the fruit ripeness or detecting the presence of defects and diseases, is a key factor to gain high quality of fruit or vegetables. Such evaluation can be carried out using both destructive and non destructive techniques. Among non-destructive techniques, hyperspectral imaging (HSI), combining image analysis and visible/near-infrared spectroscopy, looks particularly useful. Many studies have been published concerning the use of hyperspectral cameras in the agronomic and food field, especially in controlled laboratory conditions. Conversely, few studies described the application of HSI technology directly in field, especially involving ground-based systems. Results suggest that this technique could be particularly useful, even if the role of environmental variables has to be considered (e.g., intensity and incidence of solar radiation, wind or the soil in the background). In this paper, recent in-field HSI applications based on ground systems
2-D Depth Averaged Modelling for Curvilinear Braided Stretch of River Brahmaputra in India

Flow simulation in Brahmaputra River is rather extremely difficult task due to the inherent complexities in channel process. In this study, the depth averaged 2-D model is applied to simulate the flow field in the 100 km long reach between Guwahati and Jogighopa in the Brahmaputra River in Assam flood plain in India. The model solves 2-D depth averaged equations with modified flow dispersion stress tensor as additional source/sink terms. Dispersion Stress terms take into account the effect of secondary flow variation arisen due to integration of the product of discrepancy between depth averaged velocity and the true velocity distributions. The model uses finite volume method with SIMPLEC algorithm and Rhie and Chow’s momentum interpolation technique on curvilinear, non-staggered grid. Wetting and drying process was included into the model for possible simulation of braiding process of the river. The simulated discharges and water elevations are in reasonably good agreement with the measures data.
Desulfurization of Dibenzothiophene from Model Oil by Aluminum Ammonium Sulfate/Urea (Alum) Ionic Liquid Analogue

Petroleum is the most important source of energy which is required to be free of sulfur. Ionic liquid analogue was used to desulfurize Model oil at several conditions including different concentration of dibenzothiophene (DBT), time of extraction, temperature and ionic liquid analogue to Model volume ratios. The cheap and easy made ionic liquid analogue is a mixture of 1:5 mole ratio of Aluminum ammonium sulfate.12H2O: Urea (Alum). The desulfurization was followed by ATR-IR, GC-MS. Aluminum salt ionic liquid analogue was found to have more than 90% removal of DBT from its mixture with decane (Model). The process in the Alum solvent was attributed to combination of an absorption and possibly oxidation of DBT through interaction of sulfur with the oxygen of sulfate group of the ionic liquid analogue when the IR bands of sulfate and hydrogen bond of ionic liquid analogue were influenced strongly by this interaction. The removal of dibenothiophene was more effective at 30 oC and 10 min than higher temperature and longer time.
GEO-CYCLICAL STRUCTURE-BASED HASHING

in the past few years, approximate nearest neighbor (ANN) search has become the core in search field such as machine learning, pattern recognition, and data mining were the applications involves huge data bases. Hashing-based ANN have been known for their low memory requirements and computational cost. For this, many hashing-based approaches have been proposed for efficient similarity search from large-scale image collection for a given query. However, most of these methods generates their projections randomly which increases the cost of storage, they do not also consider the search time, and the data points are not spatially coherently mapped into compacts binary codes. To address these draw back, this paper proposes a scalable algorithm named Geo-cyclical structure-based hashing that can explore and preserve the underlying geometric structure information of the data. Extensive experiment would show that the new scheme will be more robust and more effective in terms of performance compared with state-of-the-art hashing approaches
Allelopathic potential of white cabbage on some plants

The aim of this study carried out in 2017–2018 was to determine the effect of white cabbage (Brassica oleracea L.), which is known to have an allelopathic effect on the germination of some weed and cultural crops seeds. In addition to weeds, Amaranthus retroflexus L. , Chenopodium album L. and Solanum nigrum L. , cultural plants such as Zea mays L. , Beta vulgaris L. , were used in this study. It has been shown that the seed germination rate was decreased by the increased concentration of white cabbage post-harvest leaves extractions, which were made with different concentrations of aqueous and methanol extracts (30, 40, and 50%). The methanol extract was found to be more effective in germination. According to these results, S. nigrum and Z. mays seeds were less affected than A. retroflexus, C. album and B. vulgaris seeds. In the light of these data, it is observed that extracts obtained from white cabbage can be effective on some weeds; however, it was concluded that in order to reach more definite conclusions, studies on the subject should be increased, and similar studies should be continued under greenhouse or field conditions.
Morphological and SSR based Finger printing of South Indian Cassava Germplasm

Morphological, Simple Sequence Repeats SSR allele diversity and association mapping were performed using 29 morphological traits and 15 SSR primers in 58 cassava accessions. The percentage of contribution of each trait to total genetic variation were estimated through PCA analysis, first three principal components were accounted for 68% of the total variation in which PCA1 (48.1), PCA2 (12.7%) and PCA3 (7.4%) variation respectively. In SSR analysis, a total of 71 alleles were generated and out of which 63 allele were found to be polymorphic and the level of polymorphism was 86.56%. Morphological descriptors revealed 6 clusters of accessions and While the SSR marker revealed 9 distinct clusters of accessions. The varieties; CO1, CO2, CO3 and CO(TP)4 from TNAU and CTCRI varieties(Sree Prakash and Sree Padmanabha) were allele specific to SSRY324. The SSR allele indicated the existence of a wide genetic diversity among the cassava accessions compare to morphological data.
Effects of Wheat Gluten on the Gel Properties of Surimi Product of Silver Carp

The quality of surimi product was evaluated by a method that to determined the changes of the addition amount of wheat gluten on the gel strength,water holding capacity,the whiteness and gel soluble rate of surimi product under different heating conditions.The results showed that with the increasing of addition amount of wheat gluten,the gel strength and the water holding capacity were increasing gradually;the whiteness and the protein soluble rate were decreasing gradually.Considered the above factors and the production cost of adding wheat gluten,when the addition amount of wheat gluten was 5%,the elasticity and appearance of surimi product were kept well and the production cost was also saved.
Comparative study of tegafur gimeracil and oteracil potassium (TS-1) plus docetaxel and oxaliplatin versus TS-1 plus oxaliplatin in postoperative adjuvant chemotherapy for gastric cancer

Objective: The objective of this study was to comparatively study the effect of tegafur gimeracil and oteracil potassium (TS-1) plus docetaxel and oxaliplatin versus TS-1 plus oxaliplatin in postoperative adjuvant chemotherapy for gastric cancer. Methods: A total of 121 advanced patients received chemotherapy after radical gastrectomy were enrolled in this study and randomly assigned to two groups. Sixty-three patients received the chemotherapy regimen of TS-1 plus oxaliplatin and docetaxel were in observation group, while 58 patients received the regimen of TS-1 plus oxaliplatin were in control group. The short-term efficacy, long-term efficacy, Karnofsky performance status (KPS) score and toxic side effects were observed in both groups. Results: The total effective rate was 58.73%, and the total control rate was 87.30% in the observation group, which were significantly higher than those in the control group (39.66% and 72.41%), with statistical differences (both P<0.05). The progression-free survival and overall survival of the observation group were 5.73 and 11.18 months, respectively, which were not statistically significant from those of the control group (5.69 and 11.25 months; both P>0.05). The KPS scores of the observation group were higher than those of the control group after 3-week and 6-week chemotherapy (both P<0.05). There was no significant difference in the adverse reactions between the two groups after chemotherapy (P>0.05). Conclusions: The chemotherapy regimen of TS-1 plus docetaxel and oxaliplatin has significant effects in patients after gastrectomy, and improves patients’ physical condition with reliable safety.
Poster: Feasibility of Malware Traffic Analysis through TLS-Encrypted Flow Visualization

With the wide adoption of TLS, malware’s use of TLS is also growing fast. However, fine-grained feature selection in existing approaches is too burdensome. To this end, we propose to visualize TLS-encrypted flow metadata as an image for better malware traffic analysis and classification. We discuss its feasibility and show some preliminary classification results with high accuracy.
Gambling Subgroups among Korean Out-of-school Adolescents

Purpose The number of Korean adolescents engaging in gambling is increasing, especially among out-of-school adolescents. This study aimed to identify patterns of gambling activities and factors related to specific subgroups of out-of-school adolescent gambling activities. Methods This descriptive study analyzed secondary data from the 2015 Korea Youth Gambling Problem Survey, including 1,200 out-of-school adolescents. Latent class analysis was conducted to identify patterns of gambling activities. The factors related to gambling subgroups were verified with multinomial logistic regression. Results Three latent classes of gambling activities were identified: rarely gambling (RG), immediate gain gambling (IGG), and broad gambling (BG). These subgroups differed significantly in terms of gender, age at and type of first gambling experience, number and type of gambling activities, gambling frequency, time and money spent on gambling, problem gambling severity, and motivation for gambling. Compared to the RG subgroup, both the IGG and BG subgroups were strongly associated with an older age at the first gambling experience. Conclusion Out-of-school adolescents who first gambled at an older age and who gambled mainly in order to gain money immediately were at risk of problem gambling. Developing strategies for early screening and referral to professionals is necessary to prevent gambling problems from worsening.
Sparse GLONASS Signal Acquisition Based on Compressive Sensing and Multiple Measurement Vectors

A sparse global navigation satellite system (GLONASS) signal acquisition method based on compressive sensing and multiple measurement vectors is proposed. The nonsparse GLONASS signal can be represented sparsely on our proposed dictionary which is designed based on the signal feature. Then, the GLONASS signal is sensed by a normalized orthogonal random matrix and acquired by the improved multiple measurement vectors acquisition algorithm. There are 10 cycles of pseudorandom codes in a navigation message, and these 10 pseudorandom codes have the same row sparse structure. So, the acquisition probability can be raised by row sparse features theoretically. A large number of simulated GLONASS signal experiments show that the acquisition probability increases with the increase in the measurement vector column dimension. Finally, the practical availability of the new method is verified by acquisition experiments with the real record GLONASS signal. The new method can reduce the storage space and energy loss of data transmission. We hope that the new method can be applied to field receivers that need to record and transmit navigation data for a long time.
Estimating happiness of most populous cities by mining user-generated content in Twitter

- In online networking, individuals around the globe produce limitless measures of content substance. Online networking users broadcast their state of mind, suppositions, and sentiments on twitter as tweets. In this paper we evaluate the happiness of the general population living in the top 40 most populous cities around the globe. We gather and analyze a huge corpus of geo referenced messages or tweets, posted by online networking users through twitter information provided by Twitter API. We analyze the text content information using Natural Language Processing (NLP) methods and classify the sentiment of individual tweets using various lexicon based methods associated with Word Sense Disambiguation (WSD) algorithm for computing the happiness coefficients of individual cities and form a happiness index based on it.
Mikko Hintikka INTEGRATED CMOS RECEIVER TECHNIQUES FOR SUB-NS BASED PULSED TIME-OF-FLIGHT LASER RANGEFINDING

The goal of this work was to develop a CMOS receiver for a time-of-flight (TOF) laser rangefinder utilizing sub-ns pulses produced by a laser diode operating in gain switching mode (~ 1 nJ transmitter energy). This thesis also discusses the optical detector components and their usability with sub-ns optical pulses in laser rangefinding and the effect of the laser driver electronics on the shape of the sub-ns laser output, and eventually on the timing walk error of the laser rangefinder. The thesis presents the design of an integrated receiver channel IC intended for use in the pulsed TOF rangefinder. This is realized in a low-cost and consumer electronics-friendly CMOS technology (0.18 μm) and is based on a linear receiver and leading edge time discrimination. The measured walk error of the receiver is ~ 500 ps (4.5 cm in distance) within a 1:21,000 dynamic range. The measured jitter of the leading edge, affecting the single-shot precision of the radar, was ~ 12 ps (1.6 mm in distance) at an SNR > 200. In addition, a pulsed TOF rangefinder using the receiver IC developed here was designed and used for demonstrating the possibility of measuring tiny vibrations in a distant non-cooperative target. The radar was used successfully to observe 10 Hz vibrations in a non-cooperative target with an amplitude of 1.5 mm (sub-mm precision after averaging) at a distance of ~ 2 m. One important result was the demonstration of a difference in walk error behaviour between MOSFET and avalanche BJT-based laser pulse transmitters. The practicability of an integrated CMOS AP detector in sub-ns laser rangefinding was also studied.
Strategic performance management for soccer clubs: A quantitative model proposal

Soccer has been a very popular sports industry all over the world. Since soccer clubs generate a huge income from a variety of sources, the stakeholders of the soccer industry have come to recognize that this business should be managed professionally, and this would entail all of the functions of management, including performance management. This study provides a comprehensive framework for the strategic performance management of soccer clubs. In order to be strategy-focused, to better serve their mission, and to improve their performance, the performance management systems of soccer clubs should be linked to their missions and visions. Therefore, this study elucidates the application of a strategic performance management tool, the balanced scorecard (BSC), to the different levels of soccer clubs such as giant, middle-level, and lower-level. The study also provides a quantitative BSC model as a case study.
Phytochemical screening and pharmacological activity with respect to muscle relaxant property of methanolic extract of Clitoria ternatea (flower)

Aim: The aim of this study is to investigate the phytochemical screening and muscle relaxant property of methanolic extract of Clitoria ternatea flower (MECT) belonging to the family Papilionaceae using Swiss albino mice in comparison with that of diazepam. Method: The phytochemical evaluation of the extract was done as per the standard methods. Acute toxicity studies were done by using Swiss albino mice of either sex weighing 25-35 gm as per OECD 425guidelines.The extract was evaluated for its muscle relaxant action compared with control (using normal saline 0.9% NaCl solution) and standard drug diazepam at the dose of 10mg/kg/ po using Rotarod apparatus. Fifteen mice of either sex were taken and divided in to five groups of 3 each. First group was considered as control, second as standard (Diazepam), third, fourth and fifth as test group (with three different doses of MECT like 50 mg/kg/p.o,100 mg/kg/p o and 200 mg/kg/p o). The extracts were administered orally. Result: The phytochemical screening exhibits that the extract contains various phytoconstituents like Alkaloids, Tannins, Glycosides, Carbohydrates, Resins, Steroids, Saponins, Flavonoids and Phenols. The extract was found to be non-toxic upto the dose of 2000 mg/kg after the acute toxicity test. All the three doses of MECT i.e. 50 mg/kg (11 ± 0.023 sec), 100 mg/kg (7.67 ± 0.014 sec) and 200 mg/kg (5± 0.032) significantly reduced the fall off time in the Rotarod apparatus as compared to control ( 49.33 ± 0.028) (p value <0.0001). The result is also quite satisfying when compared with the standard drug at 10 mg/kg/p o (6 ± 0.019). Conclusion: The result of the given study demonstrated that the methanolic extract of flower of Clitoria ternatea is possessing dose dependent muscle relaxant property.
A Clinical Study on the Effect of a Cream Containing Ramulus Mori Extract and Tea Tree Oil on Acne Vulgaris and Aerobic Skin Flora

Background: The exact role of aerobic bacteria in the pathogenesis of acne remains controversial but several reports showed that these microorganisms were important in the development of acne lesions and affected the severity of acne by being involved in the inflammatory process. There were several attempts to improve and prevent the acne lesions by using soap or cosmetics containing anti-microbial agents. Objective: The purpose of this study was to compare the sebum secretion rates and the number of aerobic bacteria in acne patients after 4 weeks trial of RT cream containing 0.1% tea-tree oil and 0.01% Ramulus mori extract. Methods: We studied 10 normal controls and 20 acne patients. Sebum secretion was measured by Sebumeter. Clinical efficacy was evaluated by comparing numbers of non-inflammatory and inflammatory lesions. Aerobic bacteria was also cultured from control group and acne patients group before and after RT cream use. Results: Sebum secretion rates in acne patients were higher than those in control, but not statistically significant. Total number of aerobic bacteria in acne patients was higher than that in control (p