Miracle-dz/UniFAR-FTUs huggingface dataset:
Sharpening and Detection of Road Studs for Intelligent Vehicles at Nighttime

Intelligent vehicles need to survive against various environments on roads such as sunlit, unclear, showery, shadowy, and inside tunnel conditions. This research designs a robust approach for detecting road studs at nighttime, which is the combination of various statistical methods. This detection approach is a unique approach developed for the detection of road lanes instead of road-painted lanes. Therefore, we detect road studs (cat eyes) instead of the painted lanes on roads at nighttime as the road studs have higher intensities at nighttime. First, we utilized Butterworth low-pass filter in order to sharpen the images. Second, we converted the image to grayscale and extracted the corresponding region of interest (ROI) from it. Then, the Canny edge detection algorithm was applied to create boundary lines in images. Finally, the Hough transform was applied to detect the desired lanes in the images, which are the road studs, and hence we successfully detected the road studs in images. We have used our own dataset for the stud’s detection, which considered most of the limitations of the previous datasets. Also, the dataset was collected in naturalistic environments at nighttime. The experimental result presents that the designed approach is accurate and robust for road stud detection against nighttime.
Influence of Fermentation Beetroot Juice Process on the Physico-Chemical Properties of Spray Dried Powder

Picking vegetables is, along with salting and drying, one of the oldest ways to preserve food in the world. This is the process of decomposition of simple sugars into lactic acid with the participation of lactic bacteria. The aim of the study was to obtain powders from fermented red beet juice with the highest possible amount of lactic acid bacteria (LAB) and active ingredients. For the analysis, juices were squeezed from the vegetables and two types of fermentation were used: a spontaneous fermentation and a dedicated one. After inoculation, samples were taken for analysis on a daily basis. Extract, pH, total acidity, pigments, and color were measured. In addition, microbiological tests were also carried out. The juices from the fifth day of fermentation was also spray dried, to obtain fermented beetroot powder. Juices from 3–5th day were characterized by a high content of LAB and betanin, had also a low pH, which proves that the lactic fermentation is working properly. The exception was the juice from spontaneous fermentation. According to the observations, the fermentation process did not run properly, and further analysis is needed. The powders were stable; however, results obtained from the pigment content and the LAB content are not satisfactory and require further analysis.
Event-Triggered Distributed Moving Horizon State Estimation of Linear Systems

In this article, an event-triggered distributed state estimation mechanism is proposed for general linear systems that comprise several subsystems. Two distributed moving horizon estimation (MHE) algorithms that can handle constraints on disturbances and noise are proposed. An event scheduler is exploited to govern the evaluation of the estimators and networked information exchange between the plant and the estimators, such that good estimates can be provided while both the usage of processors and networked communication frequency can be reduced. The estimation error provided by the event-triggered estimation mechanism is proven to be convergent and bounded. A numerical example and a chemical process example are used to verify the effectiveness and applicability of the proposed method.
Identifying Inputs to Visual Projection Neurons in Drosophila Lobula by Analyzing Connectomic Data

Visual Abstract Electron microscopy (EM)-based connectomes provide important insights into how visual circuitry of fruit fly Drosophila computes various visual features, guiding and complementing behavioral and physiological studies. However, connectomic analyses of the lobula, a neuropil putatively dedicated to detecting object-like features, remains underdeveloped, largely because of incomplete data on the inputs to the brain region. Here, we attempted to map the columnar inputs into the Drosophila lobula neuropil by performing connectivity-based and morphology-based clustering on a densely reconstructed connectome dataset. While the dataset mostly lacked visual neuropils other than lobula, which would normally help identify inputs to lobula, our clustering analysis successfully extracted clusters of cells with homogeneous connectivity and morphology, likely representing genuine cell types. We were able to draw a correspondence between the resulting clusters and previously identified cell types, revealing previously undocumented connectivity between lobula input and output neurons. While future, more complete connectomic reconstructions are necessary to verify the results presented here, they can serve as a useful basis for formulating hypotheses on mechanisms of visual feature detection in lobula.
Level II Fieldwork Educators' Perceived and Experienced Challenges with Using the Collaborative Fieldwork Supervision Model

Fieldwork shortages have been noted in the literature for some time. With the ever-changing healthcare system and an increasing number of students in occupational therapy programs, the scarcity of fieldwork placements is dire. Rooted in adult learning principles, the collaborative fieldwork supervision model is one approach to fieldwork education that may alleviate the shortage of placements, while also supporting student learning. This model is designed to have one fieldwork educator supervising two or more students throughout a fieldwork experience. The strengths and challenges of this model are well documented, although it is unclear if the identified challenges are the same or different for those who have and have not used the model. Therefore, a research study was conducted to investigate Level II fieldwork educators’ experienced and perceived challenges of the collaborative fieldwork supervision model. Narrative data was gathered from both fieldwork educators who have used the model and those who have not used the model, within the last five years. The researchers investigated two open-ended questions from a nationwide survey disseminated in 2018. Nearly 30% of the study respondents reported having used the model, while 70% reported not using the model. The same five themes emerged from both groups, however, the prevalence and subthemes between the two groups were different. The themes are: 1) considerations at fieldwork site; 2) knowledge, skill, and professionalism of students; 3) client needs and level of comfort; 4) fieldwork educator knowledge and familiarity with model; and 5) culture of fieldwork education. Methods for addressing challenges and implications for occupational therapy education are discussed.
Maize(Zea mays) biofertilization with B.megaterium and chemo-fertilization with rock or soluble P: Available N,P,K,Fe,Mn,Zn and Cu residual in soil after harvest.

Application of P-biofertilizer (Bacillus megaterium )and P-chemical fertilizers (rock phosphate and superphosphate) with and without organic farmyard manure was studied in a 3-factor field experiment on maize (Zea mays ). Factors being P-biofertilizer(B), P-chemical fertilizer(P) and organic manure(M). Treatments being: B0 (no-biofertilizer), and B1 (P-dissolving B.megaterium bacteria), P0 (no P), P1 (rock phosphate 70 kg Pha) and P2(calcium superphosphate 35 kg P ha), M0 (no manure), M1 (24 Mg ha) and M2 (48 Mg ha). Treatment not receiving any material gave 3.62 Mg grains ha . Applying any or more of the materials increased grain yield by as low as 1% by B0P0M1 to 13% by B0P0M2 , up to 87% by B1P2M0 and as high as 129% by B1P2M2.Increase main effects were: B = 40.4% , P = 25.6% for P1 and 20.0 % for P2; although P2 surpassed P1 in presence of the biofertilizer which enhanced soluble P-fertilizer.M= 5.1% for M1 and 20.0% for M2 effictive in presence or in absence of the biofetilizer. N,P,K,Fe,Mn,Zn and Cu residual in soil after harvest increased were by up to , 38,84, 42, 112, 269, 78, and 83 % for each respectively ; and highest availble contents were 91, 9.8, 308, 4.94, 1.55,1.51 and 0.42 mgkg for each respectively.
Backyard Sugarcane

Revised! SS-AGR-253, a 5-page fact sheet by L. Baucum, R.W. Rice, and L. Muralles, informs homeowners of the types and varieties of sugarcane, site selection, planting material, planting, early care, formation of the stool, pest management, harvesting, and overwintering. Published by the UF Department of Agronomy, October 2009.
Analisis Penggunaan Metode Failover Clustering untuk Mencapai High Availability pada Web Server (Studi Kasus: Gedung Jurusan Informatika)

Seiring berkembangnya kebutuhan pengguna maupun peningkatan permintaan pada suatu website maka ketersediaan dari web server yang kuat dan handal merupakan permasalahan yang dihadapi dalam memenuhi kebutuhan akan data maupun layanan. Namun dalam praktiknya web server ketika diakses oleh client kadang terjadi kegagalan. Hal ini disebabkan oleh terjadinya down pada web server dan tidak ada backup dari server lain yang langsung menggantikannya. Solusi yang dapat diimplementasikan untuk mengatasi masalah tersebut adalah dengan menciptakan high availability server menggunakan teknologi web server clustering lebih tepatnya dengan mengimplementasikan metode failover clustering pada web server. Tujuan dari penelitian adalah melihat pengaruh penggunaan metode failover clustering dalam mencapai layanan high availability pada web server gedung Informatika. Berdasarkan penelitian yang telah dilakukan, dapat disimpulkan sebagai berikut. (1) Sistem failover clustering yang dibangun dapat bekerja dengan baik sesuai dengan konsep kerjanya. (2) Hasil pengujian availability dapat memberikan ketersediaan layanan yang lebih baik saat terjadi kegagalan. Nilai availability yang didapatkan dari perhitungan data pengujian sebesar 99,90%. (3) Jumlah workload yang dapat dilayani oleh web server secara bersamaan yang didapat selama pengujian menunjukkan terdapat sedikit perbedaan pada performa web server yang mempengaruhi jumlah workload dari web server. (4) Hasil pengujian QoS menunjukan nilai keseluruhan pada web server dengan failover dan web server tanpa failover dengan indeks yang sama yaitu memuaskan. Namun terdapat sedikit perbedaan pada nilai pengujian tiap parameter dimana web server tanpa failover menunjukkan performa yang lebih baik. (5) Konfigurasi failover clustering menunjukkan hasil yang baik dilihat dari segi availability pada saat terjadi kegagalan.
Analysis of the Current Characteristic in HVDC Converter Station and the Selection of Current Measure Devices

To select the appropriate current measurement devices for reflecting the variety of the current at different measuring points during stead state and fault conditions,we described the characteristis of the DC current in HVDC converter station,introduced the different types of current measurement devices installed in converter station,and obtained the technical capability and requirements for DC current measuring devices. The selection and application for the types of Zero flux current transformer and Optical-electronic current transformer are presented finally.
Evaluation of Durum Wheat Genotypes for Resistance against Root Rot Disease Caused by Moroccan Fusarium culmorum Isolates

Fusarium culmorum is one of the most important causal agents of root rot of wheat. In this study, 10 F. culmorum isolates were collected from farms located in five agro-ecological regions of Morocco. These were used to challenge 20 durum wheat genotypes via artificial inoculation of plant roots under controlled conditions. The isolate virulence was determined by three traits (roots browning index, stem browning index, and severity of root rot). An alpha-lattice design with three replicates was used, and the resulting ANOVA revealed a significant (P < 0.01) effect of isolate (I), genotype (G), and G × I interaction. A total of four response types were observed (R, MR, MS, and S) revealing that different genes in both the pathogen and the host were activated in 53% of interactions. Most genotypes were susceptible to eight or more isolates, while the Moroccan cultivar Marouan was reported resistant to three isolates and moderately resistant to three others. Similarly, the Australian breeding line SSD1479-117 was reported resistant to two isolates and moderately resistant to four others. The ICARDA elites Icaverve, Berghisyr, Berghisyr2, Amina, and Icaverve2 were identified as moderately resistant. Principal component analysis based on the genotypes responses defined two major clusters and two sub-clusters for the 10 F. culmorum isolates. Isolate Fc9 collected in Khemis Zemamra was the most virulent while isolate Fc3 collected in Haj-Kaddour was the least virulent. This work provides initial results for the discovery of differential reactions between the durum lines and isolates and the identification of novel sources of resistance.
Indoor Localization System With NLOS Mitigation Based on Self-Training

Location-awareness has become a fundamental requirement for multiple emerging applications with the rapid development of wireless technologies. The high-accuracy ranging enabled by ultra-wide bandwidth (UWB) signals is often deteriorated by clocks imperfections and non-line-of-sight (NLOS) propagation. Existing supervised learning methods for NLOS identification and mitigation are time-consuming, labor-intensive, and cost-inefficient due to the need for training data acquisition and label assignment. This paper presents an indoor localization system that enables NLOS mitigation based on self-training. The system provides a general information fusion framework that integrates map, inertial sensors, and UWB measurements, where the weak labels for UWB measurements are produced and iteratively refined by multi-sensory information fusion for self-training. In addition, the system utilizes the maximum likelihood ranging estimator that considers the impact of clock drift. The effectiveness of the proposed system is demonstrated via extensive experimentation in multiple real-world environments, e.g., the proposed methods reduce the NLOS ranging error by 80% and result in a 90th localization error percentile of 0.5 meters in a complex indoor environment.
Terrorism and the Media: The effect of the media in the growth of the phenomenon of terrorism in the environment of contemporary societies (Article Review)

This research aims to reveal whether some of the traditional or contemporary media, such as social media, television, radio, newspapers, etc have a greater role in the development and growth of terrorism phenomenon, terrorist acts, and terrorist groups, in the light of the fact that terrorism has different definitions, exploitation to the media and the ways to cover the terrorist event and what has been forgotten or even focusing on it.
Sodium nitroprusside pretreatment alters responses of Chinese cabbage seedlings to subsequent challenging stresses

ABSTRACT Nitric oxide (NO) is a self-regulating gaseous molecule as well as an interacting partner with different reactive oxygen species (ROS). Endogenous NO increased, but hydrogen peroxide (H2O2) and superoxide radical anion ( ) decreased in Chinese cabbage leaves treated with sodium nitroprusside (SNP) (0.5 mM). Antioxidant enzyme genes BrCat1, BrCat2, BrAPX, BrGR1, and BrGST1 expressions were transiently induced by the SNP (0.5 mM). Pretreated SNP (0.5 mM) enhanced tolerance to subsequent challenges by phytotoxic SNP (5 mM) and methyl viologen (MV) (50 μM), but accelerated cellular damage by H2O2 (4 M) shown by electrolyte leakage and lipid peroxidation. The SNP (0.5 mM) differentially modulated endogenous NO and ROS levels as well as antioxidant enzyme gene expressions by excess SNP, MV, and H2O2 stresses. These results suggest that NO as a signal molecule differentially interacts with challenging stresses in Chinese cabbage leaves, followed by differential cellular damage and antioxidant responses.
From Radical Innovation to Emerging Technology: Based on the Analysis of the IT Industry Cases

A process model of radical innovation evolving to emerging technology is built in this paper. Based on some typical cases in IT industry, by using this model, a systematic study about the process, path, characteristics and affect factors of radical innovation evolving to emerging technology is made. The conclusion of this study brings some inspiration for the management of emerging technology.
Italian university spinoffs vs Italian innovative companies: a comparative analysis of profitability, liquidity and efficiency profile

This paper, as part of the PRIN "University spin-offs: competitiveness, attractiveness and value", intends to increase the knowledge on the performance of university spinoffs, studied until now especially for the dynamics of constitution and development that characterize them. The study attempts primarily to measure the financial performance of Italian university spinoffs and Italian innovative start-ups and SMEs. Furthermore, it aims to determine whether the Italian academic spinoffs's financial condition tends to be different respect to Italian innovative companies. In order to reach these objectives, the financial statement analysis, with financial ratios to ascertain profitability, liquidity and efficiency profile, and the t-test have been used. University spinoffs have higher value of ratios if compared to innovative startups and SMEs. Furthermore, t-test highlights the existence of significant differences in the profitability, liquidity, structure and efficiency profile between two groups of companies. per employee and Working capital per employee is observed among innovative companies and academic spinoffs.
Research of Internal Model Control Decoupling for Induction Motor the Cross-coupling Voltage

In a vector-controlled induction motor(IM),the cross-coupling voltage between the M and the T components of the stator current impairs the characteristics of torque response.The principle and the deficiencys were analysed for the feedforward decoupling and feedback decoupling,and the decoupling control strategy was discussed based on Internal Model Control (IMC). Theoretical analysis and simulation results show that the feedforward decoupling performance is affected by the IM parameters and the stator current deviation,the feedback decoupling is only affected by the IM parameters deviation,but the IM parameters and the stator current deviation do not affect IMC decoupling effects,the sensitivity of decoupling effects to the IM parameters changes is reduced.
AAV-Vectored Expression of the Vascular Normalizing Agents 3TSR and Fc3TSR, and the Anti-Angiogenic Bevacizumab Extends Survival in a Murine Model of End-Stage Epithelial Ovarian Carcinoma

Epithelial ovarian cancer is the deadliest gynecological malignancy. The lack of effective treatments highlights the need for novel therapeutic interventions. The aim of this study was to investigate whether sustained adeno-associated virus (AAV) vector-mediated expression of vascular normalizing agents 3TSR and Fc3TSR and the antiangiogenic monoclonal antibody, Bevacizumab, with or without oncolytic virus treatment would improve survival in an orthotopic syngeneic mouse model of epithelial ovarian carcinoma. AAV vectors were administered 40 days post-tumor implantation and combined with oncolytic avian orthoavulavirus-1 (AOaV-1) 20 days later, at the peak of AAV-transgene expression, to ascertain whether survival could be extended. Flow cytometry conducted on blood samples, taken at an acute time point post-AOaV-1 administration (36 h), revealed a significant increase in activated NK cells in the blood of all mice that received AOaV-1. T cell analysis revealed a significant increase in CD8+ tumor specific T cells in the blood of AAV-Bevacizumab+AOaV-1 treated mice compared to control mice 10 days post AOaV-1 administration. Immunohistochemical staining of primary tumors harvested from a subset of mice euthanized 90 days post tumor implantation, when mice typically have large primary tumors, secondary peritoneal lesions, and extensive ascites fluid production, revealed that AAV-3TSR, AAV-Fc3TSR+AOaV-1, or AAV-Bevacizumab+AOaV-1 treated mice had significantly more tumor-infiltrating CD8+ T cells than PBS controls. Despite AAV-mediated transgene expression waning faster in tumor-bearing mice than in non-tumor bearing mice, all three of the AAV therapies significantly extended survival compared to control mice; with AAV-Bevacizumab performing the best in this model. However, combining AAV therapies with a single dose of AOaV-1 did not lead to significant extensions in survival compared to AAV therapies on their own, suggesting that additional doses of AOaV-1 may be required to improve efficacy in this model. These results suggest that vectorizing anti-angiogenic and vascular normalizing agents is a viable therapeutic option that warrants further investigation, including optimizing combination therapies.
Business Information Utilization for Sustainable Entrepreneurial Knowledge among SMEs in Lagos Metropolis

Information had been seen as essential element in all aspect of human and business life, without information no meaningful development can be achieved. Despite this, little or no emphasizes had been put on this great asset. The gap in information has been identify as one of the major barriers to the development of SMEs in Nigeria. This study focus on the various sources of business information, reasons for using business information, the rate of usage among SMEs, and the extent at which business information has helped in developing SMEs entrepreneurial knowledge in Lagos Metropolis. The study focused on three main construct which are Customers’ Information, Multi-media Devices and Government agencies as sources of information for SMEs in Lagos Metropolis. The study used descriptive statistics, questionnaire was used as the major research instruments to obtain data from three hundred respondents drawn from twenty local council development areas of Lagos state. Data collected were presented in frequency tables and percentages while chi-square were used for the analysis. Findings of this study revealed that most SMEs in Lagos State depend on customers’ information and multi-media means as their source of business information, it was also deduced that majority of surveyed SMEs have reported positive performance by utilizing business Information at their disposal in their businesses. Based on these findings, the paper recommends among others that government should provide funds to the SMEs operators to acquire new technology to expand their business. SMEs should be adequately educated and informed about the importance of business information, the use of multi-media devices like, photographs, pictures, craft displays, audio-visual materials, film shows and media houses using local languages should be encouraged at public meetings and empowerment program to give business information to SMEs operators and increases their operational efficiency. Keywords: Information, Utilization, Entrepreneurial Knowledge, SMEs, LCDA.