Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanical Control with a Deep Learning Method for Precise Weeding on a Farm

This paper presents a mechanical control method for precise weeding based on deep learning. Deep convolutional neural network was used to identify and locate weeds. A special modular weeder was designed, which can be installed on the rear of a mobile platform. An inverted pyramid-shaped weeding tool equipped in the modular weeder can shovel out weeds without being contaminated by soil. The weed detection and control method was implemented on an embedded system with a high-speed graphics processing unit and integrated with the weeder. The experimental results showed that even if the speed of the mobile platform reaches 20 cm/s, the weeds can still be accurately detected and the position of the weeds can be located by the system. Moreover, the weeding mechanism can successfully shovel out the roots of the weeds. The proposed weeder has been tested in the field, and its performance and weed coverage have been verified to be precise for weeding.
Student Responses to Online Learning of Indonesian Language Subjects Based on LMS Moodle

This study aims to describe students' responses to online learning of Indonesian language subjects based on Moodle LMS at SMP Negeri 17 Surakarta. The research approach used is descriptive qualitative research. The subject and object of the study focused on seventh grade students of SMP Negeri 17 Surakarta and Indonesian language teachers. The data collection technique in this study was through interview techniques by distributing questionnaires through Google Forms and literature studies. Data analysis techniques used interactive analysis techniques consisting of data reduction, data presentation, and drawing conclusions. The validity of the data was tested using data triangulation techniques and data sources. The results of this study indicate that the students' responses to online learning in Indonesian subjects showed a positive response. The questionnaire shows that students feel happy in online learning using the LMS Moodle for Indonesian subjects. The delivery of the subject matter is very easy to understand because the teacher uses animated videos and video teaching materials. The obstacles experienced during the learning process were handled well by the school's IT team and subject teachers who were very responsive. Respon Siswa terhadap Pembelajaran Daring Mata Pelajaran Bahasa Indonesia Berbasis LMS MoodlePenelitian ini bertujuan untuk mendeskripsikan respons siswa terhadap pembelajaran daring mata pelajaran Bahasa Indonesia berbasis LMS Moodle di SMP Negeri 17 Surakarta. Metode penelitian dilakukan melalui survey pendapat dari siswa menggunakan google form. subjek dan objek penelitian berfokus terhadap siswa kelas VII SMP Negeri 17 Surakarta dan guru Bahasa Indonesia. Teknik pengumpulan data dalam penelitian ini melalui teknik wawancara dengan menyebarkan kuesioner melalui Google Form dan studi pustaka. Teknik analisis data menggunakan teknik analisis interaktif yang terdiri dari reduksi data, penyajian data, dan penarikan kesimpulan. Uji keabsahan data dilakukan dengan teknik triangulasi data dan sumber data. Hasil penelitian ini yaitu respons siswa terhadap pembelajaran daring mata pelajaran Bahasa Indonesia menunjukkan respons yang positif. Kuesioner menunjukkan, siswa merasa senang dalam pembelajaran daring menggunakan LMS Moodle untuk mata pelajaran Bahasa Indonesia penyampaian materi pelajaran sangat mudah untuk dipahami karena guru menggunakan video animasi dan video bahan ajar. Kendala yang dialami ketika proses pembelajaran pun ditangani dengan baik oleh tim IT sekolah serta guru mata pelajaran yang sangat responsive.
Effect of Various Mulch Materials on Chemical Properties of Soil, Leaves and Shoot Characteristics in Dendrocalamus Latiflorus Munro Forests

The effectiveness of mulch treatments on soil quality as well as on the yield and growth rates of bamboo are major considerations and require further attention. The present work was aimed at assessing the impacts of three different mulch materials on soil available nutrients, biochemical traits, and growth patterns of Dendrocalamus latiflorus Munro. We found that relative to the control (CK), bamboo leaves (MB) and organic fertilizers (MF) treatments significantly (P < 0.05) increased the number of bamboo shoots (47.5 and 22.7%) and yield (21.4 and 9.1%), respectively. We observed that under MB and MF treatments, the concentrations of soil available nutrients (nitrogen, phosphorus, and potassium) increased and played a key role in the differences in chlorophyll, leaf carbohydrate contents (soluble sugar and starch) and were essential to promote bamboo shoot development. Furthermore, we infer from principal component analysis (PCA), that both MB and MF appear to be a better choice than rice husks (MR) to improve nutrient availability, biochemical traits of the leaves, and increased bamboo shoot productivity. Consequently, we suggest using organic fertilizers and bamboo leaves as mulch materials are effective for soil conservation to attain high-quality bamboo production.
After Transapical Transcathe The Systemic In fl ammatory Response Syndrome Predicts Short-Term Outcome ter Aortic Valve Implantation

Objective: Despite the minimally invasive nature of transcatheter aortic valve implantation (TAVI), the incidence of acute kidney injury (AKI) and mortality is of major concern. Several studies showed that outcome was influenced by the systemic inflammatory response syndrome (SIRS) in patients undergoing percutaneous TAVI. The purpose of this study was to investigate whether SIRS after transapical TAVI was associated with short-term outcome. Design: Retrospective analysis of prospectively collected data. Setting: Intensive care unit in a tertiary-care hospital. Participants: In 121 patients undergoing transapical TAVI for severe aortic stenosis between March 2010 and October 2013, the incidence of SIRS during the first 48 hours was studied. The relation between the occurrence of SIRS and any adverse event during hospital stay was investigated. Any adverse event was defined as the composite of mortality, AKI, infection, stroke, myocardial infarction, and bleeding.
Understanding the Performance Characteristics of Computational Storage Drives: A Case Study with SmartSSD

The emerging computational storage drives (CSDs) provide new opportunities by moving data computation closer to the storage. Performing computation within storage drives enables data pre/post-processing without expensive data transfers. Moreover, large amounts of data can be processed in parallel thanks to the nature of the field-programmable gate array (FPGA) included in CSDs. In a CSD, there are several implementation techniques that support parallel processing, each of which provides a different degree of parallelism. However, without sufficient understanding of the parallel processing techniques of CSD, it can lead to overhead due to misuse rather than benefiting from task offloading. Thus, to exploit the best performance of CSDs, it is important to properly adjust the degree of parallelism of each implementation technique. In this paper, we focus on the study of the differences in CSD performance according to various combinations of parallel processing techniques. To investigate the performance differences, we implement and offload the data verification algorithm to the CSD and analyze the performance and resource utilization. The experimental results show that implementing the data verification algorithm with a sufficient understanding of CSD’s parallel processing techniques can improve the performance by up to 20 times. Moreover, even with the same degree of parallelism, the performance can differ by 59% depending on the combination of implementation techniques. These results imply that proper orchestration of different implementation techniques leads to better performance and efficient resource utilization.
THE STUDENTS PERCEPTION OF LANGUAGE POLITENESS â€“ BASED TEACHING MATERIALS IN SPEAKING SKILLS AT GERMAN LANGUAGE DEPARTMENT PATTIMURA UNIVERSITY AMBON

This research is aimed to obtain information about students' perceptions of politeness-based speaking skills teaching materials. The developed teaching materials were tried out in German Language Department, Pattimura University. The data was collected using a questionnaire technique to explore students' perspectives on teaching materials, while data analysis related to student perceptions was carried out using descriptive-analytic methods. The results showed that the theme chosen is a daily theme according to the daily communication needs of the beginner students, such as apologizing, asking, giving feedback or answering questions, giving suggestions, expressing opinions, etc. The teaching materials developed are also in accordance with the age level and students' language skills. Most of the students with language teaching materials that focus on (speaking skills) help them understand German language material easily. The form of training carried out by contrasting polite and unpolished utterances greatly helps students to distinguish appropriate speech according to politeness and will be able to use these speeches in daily communication. In addition, the teaching materials displayed are quite interesting because the form of practice used is quite good and interesting so that they can practice speaking and expressing opinions using polite language.
Aspirin Exerts Synergistic Effect with Anti-Fas Stimulation against Colorectal Cancer Stem Cells In Vitro

Cancer cells, especially cancer stem cells (CSCs), are known for their therapeutic resistance and ability to induce a cancer relapse even many years after successful treatment. The quest for a novel protocol utilizing some commonly used non-oncologic drugs that would improve patients outcomes seems to be the right solution. Aspirin (ASA) is one of such eminent drugs. Our study demonstrated that ASA may exert synergistic effect with the anti-Fas antibody on CSCs of colorectal cancer cell lines. We found that such compound treatment inhibited the pro-cancerous effect of anti-Fas stimulation and decreased spherogenicity, survival and CD133-positive cells’ count. Additionally, ASA with anti-Fas antibody may have a positive impact on dendritic cells’ functions. Our innovative study explored simultaneous usage of two biologically active compounds which haven’t been considered in such combination to assess their significance in colorectal cancer cell biology.
BTC price volatility: Fundamentals versus information

Abstract This paper offers a plausible response to “what explains the sporadic volatility in the price of Bitcoin? ” We hypothesized that market “fundamentals” and “information demands” are key drivers of Bitcoin’s unpredictable price fluctuation. We adopt the transfer-function [Autoregressive Distributed Lag, ARDL] model and its Bounds testing approach to verify how the volatility of the price of Bitcoin responds to its transaction volume, cryptocurrency market capitalisation, world market equity index and Google search. We found the existence of long-run cointegration relation and observed that all the variables except the equity index positively explain the volatility of Bitcoin price. The result established evidence that market fundamentals drive erratic swing in Bitcoin price than information.
Synthesis and Characterization of Water Soluble Fluorescent Copper Nanoparticles

The electrostatic interaction between emerging quantum-confined nanostructures with plasmonic structures is crucial for future biological applications. Water-soluble green fluorescent copper nanoparticles (Cu-NPs) were fabricated. We demonstrate that L-ascorbic acid is considered as a key to precisely control small Cu-NPs and the capability of the surface ligands, while cetyltrimethylammonium bromide is used as a stabilizing agent controls the particle growth, and stabilizes the nanoparticles. Water-soluble green fluorescent Cu-NPs are tunable through modification of the reaction periods.
Physical and chemical properties of LSCF-CuO as potential cathode for intermediate temperature solid oxide fuel cell (IT-SOFC)

Solid oxide fuel cells (SOFCs) are efficient yet environmentally benign devices that can convert chemical energy into electrical energy and heat for large scale of applications. However, higher operating temperature of this device limits the selection of proper materials to be used as electrode and electrolyte as well as sacrifices the durability. Thus, it is desirable to develop materials with superior electrochemical performance at intermediate temperature (600-900 o C) for SOFC. LaSrCoFeO 3 (LSCF) doped with CuO is an attracting yet promising cathode material for IT-SOFC owing to the distinguish properties including high electrical conductivity and high catalytic activity for the oxygen reduction reaction. This work investigates the influence of the synthesis route which are sloid state route and sol-gel route towards chemical and physical properties of composite LSCF-CuO. The samples were synthesized at different temperature ranging from 600 o C to 900 o C for each route respectively. XRD results showed high purity of as-synthesized samples while in the meantime increased in crystallinity has been observed as increased in calcining temperature indicating bigger crystal size after calcined at 900 o C. SEM images showed LSCF-CuO particles tends to expand as the calcining temperature increased. Meanwhile, from TGA results it is clear to conclude that LSCF-CuO loss its weight significantly after calcined at designed temperature.
Three-Dimensional Numerical Modeling of Internal Ballistics for Solid Propellant Combinations

The processes that take place within the Internal Ballistics cycle of an artillery round are highly influenced by geometric effects. They are also highly affected by the presence of a combination of energetic materials, such as the propellant, igniter, primer, and the combustible cartridge cases. For a more realistic simulation of these phenomena, a multidimensional and multicomponent numerical model is presented, based on adaptations and improvements of previous models of conservation equations, maintaining a two-phase, Eulerian–Eulerian approximation. A numerical method based on Finite Volumes and conservative flux schemes (Rusanov and AUSM+), with the ability to predict detonation effects, is proposed. As a result, a versatile 3D numerical code was obtained that was tested in the simulation of artillery firing with conventional and modular charges (MACS). Results show the code is able to characterize the heat and mass transfer of the different energetic materials during the combustion of the propellant and the cartridge cases, the gas expansion, and the projectile acceleration.
Analysis of Floating Rate Bonds and the Firm Characteristics

We examine the security and firm characteristics of a sample of 2,027 non-convertible investment grade floating rate securities (bonds) issued by the US based firms between 1980 and 2018. These bonds pay a coupon based on short term reference rate, such as fed funds rate, plus a fixed quoted margin. Considerable number (81.6%) of these issues are between 1992 and 2007 signifying floating rate as an effective mechanism to mitigate firm’s interest rate risk when the rates are high and expected to fall. A positive and significant abnormal return (CAR = 0.27%), in the event window surrounding issue date, provides strong evidence that the floating rate is viewed as a less restrictive provision as compared to the call option. Majority of the issues (89.3%) are non-callable since the floating rate mitigates interest rate risk for the issuing firm. Lack of put provision in these bonds (in only 7.35% of the sample issues) signifies no significant investor concerns of falling bond prices. Regression analysis reveals that firms with growth options and with higher leverage experience positive CAR due to the financial flexibility these bonds provide. Firms with higher level of information asymmetry benefits less from issuing these securities since most of these bonds (90.13%) are issued at par therefore, the price is not likely to carry information content that mitigates information asymmetry between the firms and the investors.
The role of dysprosium ions as a dopant on linear and nonlinear optical dispersion parameters in a-Se thin film

Thin films of un-doped and doped a-Se with Dysprosium rare-earth ions have been prepared by the thermal evaporation technique. The optical transmission spectra of the investigated films have been measured in a wide spectral range and used to calculate the linear optical constants together with the optical energy gap of studied films. The observed decrease in the values of the energy gap against the increase of the Dysprosium (Dy) content in a-Se films has been explained using Mott and Davis Model and in terms of electronegativity difference of the constituent atoms. Furthermore, the dispersion of nonlinear parameters such as second-order refractive index and nonlinear absorption coefficient (two-photon absorption coefficient) of investigated films are presented and discussed.
Game Theory for Unmanned Vehicle Path Planning in the Marine Domain: State of the Art and New Possibilities

Thanks to the advent of new technologies and higher real-time computational capabilities, the use of unmanned vehicles in the marine domain has received a significant boost in the last decade. Ocean and seabed sampling, missions in dangerous areas, and civilian security are only a few of the large number of applications which currently benefit from unmanned vehicles. One of the most actively studied topic is their full autonomy; i.e., the design of marine vehicles capable of pursuing a task while reacting to the changes of the environment without the intervention of humans, not even remotely. Environmental dynamicity may consist of variations of currents, the presence of unknown obstacles, and attacks from adversaries (e.g., pirates). To achieve autonomy in such highly dynamic uncertain conditions, many types of autonomous path planning problems need to be solved. There has thus been a commensurate number of approaches and methods to optimize this kind of path planning. This work focuses on game-theoretic approaches and provides a wide overview of the current state of the art, along with future directions.
EFFECT OF IRRIGATION INTERVALS AND SOME ANTITRANSPIRANTS ON GROWTH AND YIELD OF SNAP BEAN (PHASEOLUS VULGARIS L) UNDER DRIP IRRIGATION SYSTEM IN CLAY LOAM SOIL

The objective of this work is to reduce the quantity of water applied by irrigation, increase the water use efficiency and determine the appropriate period for irrigation snap bean, a field experiment was implemented at the Experimental Station of Vegetable Research Department, Horticulture Research Institute, Agriculture Research Center, Giza Governorate, during the two growing summer seasons of 2016 and 2017. This study involved three irrigation intervals (2, 4 and 8 days) under clay loam soil using drip irrigation system, with spraying the plants by five antitranspirant substances (control, kaolin at 3 g/L, MgCo3 at 3 g/L, liquid paraffin 2% and bentonite 2%), The results showed that increasing irrigation intervals from 2 days to 8 days decreased the total water content in the leaves, the rate of relative transpiration, whereas caused an increase in the leaf water deficit. While, reducing the irrigation interval from 8 days to 2 days led to a significant increase in vegetative growth parameters i.e. plant height, number of branches, number of leaves, leaf area and plant weight, but dry matter percent was decreased. The yield and pods quality of the plants irrigated every 2 days showed higher values and best quality than the other periods of irrigation, the highest values of N,P and K content in the pods and chlorophyll in the leaves were found with irrigation every 2 days. Spraying snap bean plants with MgCO3 followed by spraying with kaolin led to the highest total water content, the lowest relative transpiration and the lowest leaf water deficit. The best growth characters, yield and pods quality, N, P and K concentrations and chlorophyll content were obtained from the plants sprayed by MgCO3 followed by spraying with kaolin. On the other hand, the interactions treatments between irrigation intervals and antitranspirants resulted in a significant effect in many studied parameters whereas, the superior treatment for obtained strong vegetative growth, high pods yield with best quality was the interactions between irrigation every 2days and spraying the plants with MgCo3 at 3g/L three times, the first one at vegetative growth stage (at 3-4 true leaf stage) and the others after two weeks interval of the first one.
Cheating in Mutualisms Promotes Diversity and Complexity

Mutualisms such as those between flowering plants and their pollinators are common in nature. Yet understanding their persistence in the face of cheaters and identifying the mechanisms behind their stunning diversity provide formidable challenges for evolutionary biologists. To shed light onto these questions, we introduce an individual-based model of two coevolving species in which individuals of one species use a Boolean circuit to discriminate between cooperators and cheaters in the other species. This conveys the idea that interactions are often mediated by complex biological processes rather than the matching of a single trait, as often assumed in models of coevolution. Our results show that cheating promotes diversification and complex discrimination mechanisms at the cost of a higher risk for mutualism to collapse. This result is mediated by an inverse relationship between mutational robustness and organismal complexity.
Investigating Combination and Individual Impact of Phosphorus and Humic Acid on Yield of Wheat and Some Soil Properties

In order to evaluate the effect of different levels of Phosphorous (P) alone and in combination with Humic acid (HA) on the yield and P accumulation by wheat( Triticumaestivum L, CV Fakhr-e-Sarhad). , a field experiment was carried out at agriculture research station of Swabi, Pakistan during 2016-2017. A total of eight treatments replicated four times were arranged in Randomized Complete Block Design (RCBD) in the field. Two levels of HA including control (H0: control and H1: 500 g ha -1 ) and four levels of P (P 2 O 5 ) including control as Single Super Phosphate (SSP) (P0: control, P1: 60 kg ha -1 , P2: 90 kg ha -1 , and P3: 150 kg ha -1 ) were utilized. ; Size of each plot was kept to 5x4 m. Addition of different levels of SSP alone and in combination with HA significantly (P<0.05) improved straw, grain and total wheat yield over control. HA in combination with 60 and 90 kg P 2 O 5 ha -1 improved the grain yield by 22.4 and 6.5 % respectively as compared to the same amount of fertilizer applied alone. Total yield (Dry mass + Grains) of 20877 kg ha -1 was produced by the treatment P2H1 (90 kg P 2 O 5 ha -1 + 500 g ha -1 HA) followed by the treatment P2H0, which were 78.69 and 75.03 % increases over the control. Significantly highest 1000- grain weight of 47.8 g was recorded in the treatment P2H1 while all other treatments showed non-significant increase in 1000- grain weight. Unlike soil pH values, improvement in the Soil Organic Matter content (SOM) was observed with the application of both HA and chemical fertilizers either applied alone or in combination. SSP applied either alone or in combination with HA increased significantly (P<0.05) the post-harvest soil P concentration as well as P accumulation by wheat plants over control. Results suggest that application 90 kg P 2 O 5 ha -1 reinforced with HA (P2H1) may be considered as an optimum dosage for achieving optimum yield of wheat crop.