Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of iron nano-complex and Fe-EDDHA on bioactive compounds and nutrient status of purslane plants

Abstract Nanoparticles serve as a new fertilization method utilised in agriculture, and their potential effect on medicinal crops has been mainly unexplored. In the present study, using ultrasonic irradiations, a novel nano-sized iron complex has been prepared from aminolevulinic acid and iron (III) nitrate under greenhouse conditions. The obtained Fe nano-sized energy dispersive X-ray spectroscopy complex has been characterized by two methods, i.e. Fourier-transform infrared spectroscopy and spectra. The morphology and size of the nano-complex were also determined using transmission electron micrographs and showed an acceptable size in the nano range (5-25 nm). In this work, purslane plants were supplied with Fe (III)-aminolevulinic acid asa new nano-sized complex and Fe-EDDHA. The mineral nutrient concentrations, total phenolic, ascorbic acid contents and antioxidant activity were the highest in the plants treated with the Fe-ALA nano-complex. Catechin was the predominant phenolic compound in all treated plants. The Fe nano-complex at the rate of 0.2% induced extra high-value phenolic compounds. The shoot Fe, Zn, N, Mg, Ca and K contents were also higher in the plants treated with the Fe nano-complex than in both the control group and the plants treated with Fe-EDDHA. In general, the nutritional and pharmaceutical quality of Portulaca oleracea L. improved when using the nano-sized Fe-ALA complex as a new iron source.
Expression set for epitaxial layer design in power MOSFET

In this work, the reason for the difference between the simulated and experimental breakdown voltage is confirmed in power MOSFETs. Theoretical study predicts two factors. One is that the recombination phenomenon is ignored in the simulation. Another problem is that the accuracies of commonly used impact ionization models are not qualified. The widely used impact ionization models, which are the key factor to influence the breakdown voltage, are analyzed theoretically and numerically. Meanwhile, the validities of these models are verified experimentally. It is proved that the Lackner model is more precise. With the help of qualifying and with the recombination phenomenon considered, the conventional ionization integral is modified. The relations between the breakdown voltage, the specific on-resistance, the thickness and the doping concentration of the epitaxial layer are then simulated and fitted to the non-punch-through (NPT) structure. While the breakdown voltage of the NPT structure using the Lackner model varies from 182 V to 1471 V, the value using the Chynoweth model, which is in common use in simulation, is underestimated by 6.0%(171 V) to 9.5%(1332 V). Based on these improvements, an expression set is presented for the epitaxial layer parameters selection. The re-established formula set has more accuracy and obvious difference from the results obtained with the conventional Chynoweth models. For optimum designed punch-though (PT) structures, the analytical results indicate that the specific on-resistance can be reduced by about 12.0% compared with the NPT structure. The PT structure also allows the epitaxial layer to be decreased by about 25.3% in thickness and 8.3% in doping concentration.
Inflation nexus Economic Growth: proof from Ethiopia

This paper examined the relationship between Growth Domestic Product Growth rate and Inflation for Ethiopia using time series data covering from 2000 to 2019. The study carried out Augmented Dickey Fuller test, Johansen cointegration test and Granger causality test to examine stationarity of time seriesdata, theexistenceoflongrunrelationshipandthedirectionofcausality respectively. The empirical results reveal that both variables under investigation are non-stationary at levels and stationery when differenced at first and inflation and economic growth are co-integrated thereby asserted the presence of a long-run relationship between the variables. The result of Granger causality test shows none of the variables is depicted as influential and therefore the result suggested that the influence iscontemporaneous.
Product Based Classification of Bulk Food Grains using Bag of Visual Words and Deep Features

: The goal of this research is to compare between the performance of the traditional machine learning classification algorithm using Bag of Visual Words (BoVW) method and off-the-shelf deep features extracted by VGG-19, and Inception-V3 models and trained SVMs using the extracted features. By comparing the AUC, sensitivity, and specificity of SVM with VGG-19 and Inception-V3, we can conclude that off-the-shelf deep features has an important impact on food grains image classification.
EFFECTS OF ANNEALING ON THE COMPOSITION, STRUCTURE AND PHOTOCATALYTIC PROPERTIES OF C-DOPED TITANIA FILMS DEPOSITED BY REACTIVE MAGNETRON SPUTTERING USING CO2 AS CARBON SOURCE

Carbon-doped titania (C:TiO2) films were prepared by reactive magnetron sputtering using CO2 as a carbon source. The as-prepared films were annealed at different temperatures in vacuum condition. A TiO2 film using O2 gas was also prepared for comparisons with C:TiO2. The structure and composition of the as-prepared, the TiO2 films and the annealed C:TiO2 films were analyzed by X-ray diffraction and X-ray photoelectron spectroscopy, whereas the surface morphology of the C:TiO2 films was measured by atomic force microscopy. Furthermore, photocatalytic properties of the films were evaluated by the degradation of methyl orange (MO). The results indicate that the photocatalytic property was improved when carbon was doped into TiO2 films, and the C:TiO2 films consist of anatase and TiO phases. The experimental results of the MO’s degradation confirm that the annealing process at various temperatures can modify the surface morphology of the films and the content of oxygen vacancies in the films. Consequently, the variations in surface topography and oxygen vacancy potentially enhance the photocatalytic activity of TiO2 films.
Impact on the Effectiveness of Minimum Wage Policy

The minimum wage policy is regarded as an essential tool for improving the welfare of low-paid workers, reducing inequality and poverty within the labour market. The Government of India recently reformed the country’s wage policy and enacted the Code on Wages in August 2019. To give effect to the code, the government has now outlined the implementation mechanism by notifying the draft Code on Wages (Central) Rules in July 2020. This paper examines some of the key reform measures undertaken in the wage code and the implementation mechanism, as provided in the draft wage rules, identifies shortcomings therein, and provides suggestions for improvement.
A Beacon for Gynecological Cancers Patients: pH-Sensitive Nanomedicine

Emergence of various nanoscale drug carrier platforms as Drug Delivery Systems (DDS) has revolutionized the field of medicine. Nonetheless, the side-effects due to non-specific distribution of anticancer therapeutics in normal, healthy tissues remain to be a prime pitfall in curing cancers. Therefore,to achieve a better therapeutic efficacy the use of a target-specific delivery, combined with a stimuli-responsive nanocarrier system, particularly pH-sensitive nanosystems offer an attractive strategy. Targeted drug delivery through pH-sensitive nanosystems offer the potential to enhance the therapeutic index of anticancer agents either by increasing the drug concentration in tumor cells and/or by decreasing the exposure in normal host tissues. Therefore, nanoscale-based drug delivery through pH-sensitive nanosystems seem to be a boon for treating gynecological cancers (as well as other cancers) without side-effects or with least harm to normal healthy tissues. Pramod Vishwanath Prasad1* and Anurag Srivastava2 1Center for Biomedical Research, Population Council, The Rockefeller University, New York, USA 2Department of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, India
Modelling tourist on-site mode choice decisions during vacation stays

In popular and highly frequented tourist regions, local authorities and Destination Management Organizations struggle with providing high level of service on a restricted road network used not only by local daily and leisure traffic but also by an extensive seasonal tourist traffic. So far, they operate with limited knowledge since the data on how tourists travel on-site at the vacation destination, albeit crucial for local transport policies, is unknown. It is not covered by typical household travel surveys nor have any models been developed for the local travel of tourists yet. Also current research is limited and concentrates merely on international tourism demand and longdistance trips (Axhausen and Janzen, 2018; Christensen and Nielsen, 2018; Gerike and Schulz, 2018).
EVALUATION OF THE Y-SHAPED MODIFICATION OF THE TRANSCONJUCTIVAL APPROACH IN OPEN REDUCTION OF ZYGOMATIC MAXILLARY COMPLEX FRACTURE (CLINICAL TRIAL)

INTRODUCTION: Conventional incisions that are commonly used for the exposure of lower eyelid and treatment of Zygomaticomaxillary Complex (ZMC) fractures, includes both transcutaneous and transconjunctival approaches. The decision between the incisions is based on the need for adequate exposure of the fracture site and a desired aesthetically acceptable incision. A “Y” shaped technique was claimed to fulfill both adequate exposure and esthetic outcomes. Aim: This study was conducted to evaluate the Y-shaped modification of the transconjunctival in the management of zygomatic maxillary
LOCATION FACTORS AND THEIR IMPORTANCE IN LOCATION DECISION MAKING OF ENTERPRISES (IN CONDITIONS OF SLOVAK REPUBLIC) CASE STUDY

Successfulness of enterprises is strongly linked to making the right location decisions. The aim of this article was focused on a presentation whether chosen location categories or location factors are important in location decision of enterprises or not. Data was obtained from 275 enterprises in 2015, based on a questionnaire survey. The survey was conducted in condition of the Slovak Republic. Enterprises were from three sectors of the national economy primary, secondary and tertiary. Surveyed enterprises evaluated importance of various location factors belonging to six main location categories by using scale from 0 to 4: 0 – not important, 1 – less important, 2 – mediumly important, 3 – very important, 4 – extremely important. We analysed 67 location factors belonging to six location categories: (1) Labour, (2) Market, (3) Land and natural resources, (4) Infrastructure, (5) Environment and (6) Law and socio-economic conditions. Results show that the most important location categories are (2) Market and (1) Labour. From the (2) Market category, these are the most important: Intensity of competition in the sector, Knowledge of the local business environment and Purchasing power of households. From category (1) Labour, these are significant: Qualified workforce supply and Flexibility of the workforce. On the other hand, the category of (3) Land and natural resources was identified as the most irrelevant in location decision making.
Clinical outcome of an inject able platelet-rich fibrin and platelet-rich plasma on immediate dental implant

Objective: The aim of the present study was to evaluate the implant stability with injectable-PRF and with PRP on immediate implant. Subjects & Methods: Twenty patients were selected: ten patients with immediate implant were treated with I-PRF. PRP group: ten patients with immediate implant were treated with PRP. Clinical evaluation was recorded after 0, 3 and 6 months after surgery: Modified plaque index (mPlI), Probing pocket depth around implants, and Implant stability. Results: In The present study, iPRF application during implant surgery enhanced the stability of implants than PRP. Although the sample size was limited, this technique provided an advantage, especially when bone quality at the implant site was inadequate. Conclusion: The results of the present study demonstrate that the application of injectable platelet rich fibrin during implant surgery enhanced the stability of implants when compared to platelet rich plasma.
Serum soluble cluster of differentiation 163 (sCD163), matrix metalloproteinase 9 (MMP9) and cytokeratin 18 (CK18) levels as biomarkers for liver fibrosis in Egyptian chronic hepatitis C patients

Received 21 June 2021 Accepted 11 October 2021 Liver fibrosis is a pathological disease in which extracellular matrix proteins, such as collagen, build up in the liver, causing tissue remodeling and the creation of persistent scar tissue. It has been associated to HCV infection, which is a leading cause of liver cirrhosis and hepatocellular carcinoma. These complications are always identified in the late stages and almost through liver biopsy, making the chances for diagnosis and treatment challenging. As a result, the objective of this study is to evaluate the levels of sCD163, MMP9, and CK18 as noninvasive biomarkers for different grades of liver fibrosis in Egyptian chronic hepatitis C patients. A total of 100 subjects were divided into four groups for this investigation. Group 1 consisted of healthy control subjects (Control group). Patients with HCV infection were divided into three groups based on their fibrosis grade: Group 2 (no liver fibrosis, F0), Group 3 (liver fibrosis, F1-F2), and Group 4 (liver fibrosis, F3-F4). The ELISA technique was used to assess the levels of direct serum indicators sCD163, MMP9, CK18, and AFP. A complete blood count, serum ALT, AST, albumin, total bilirubin, and INR were measured. In addition, as indirect biomarkers, the FIB-4 score and the AST/ALT Ratio (AAR) were reported. Results indicated that the levels of sCD163, CK18, and AFP were increased significantly in all HCV infected groups, compared to controls, with the highest levels in the advanced groups. MMP9 was decreased in low grade fibrotic HCV groups, but significantly increased in advanced liver fibrosis group. FIB-4 and AAR showed a significant increase in all HCV patients, compared to control group. From the obtained data, the performance of MMP9 was the most accurate direct blood biomarker for evaluating the advanced fibrosis (Group 4). In addition, CK18 and sCD136 showed promising results. Finally, the triple biomarker panel could be considered as a useful disease progression biomarker. Keywords
A simple modification in snail rotation flap used for scalp reconstruction

The scalp is different, unlike any other site in the head and neck, it has the thickest skin in the human body and covers bone that protects the intracranial structures. Due to the special nature of scalp tissue, the reconstruction of defects is a challenging task. Many techniques have been used in scalp reconstruction from a simple approximation of the two edges of the scalp lesion, rotation flaps with their techniques as triple rotation, double-opposing rotation, pinwheel flaps up to utilization of regional flaps and tissue expanders. This study aims to introduce a small alteration in both the design and closure technique of the snail rotation flap used in scalp reconstruction to allow less rotation and easier approximation of the flap. This modified flap was used to manage seven cases three females and four males with scalp defects presented to the Oral and Maxillofacial Surgery Department, College of Oral and Dental Surgery, Misr University for Science and Technology and Dermatology, Venereology, and Andrology unit in the Memorial Souad Kafafi University Hospital, Misr University for Science and Technology. Results: Healing was optimum for all the patients except for one case who showed minimum dehiscence, hair shaft orientation was not markedly affected. Conclusions: closure of scalp defects is a challenge to surgeons due to the nature of the scalp and its surrounding tissues. This simple modification can help in scalp reconstruction with minimum tension and accepted healing. (3036) Usama Abd El Raouf Dakrory and Tamer Mohsen Foad E.D. J. Vol. 67, No. 4 being inelastic, convex in shape, moreover, the paucity of the adjacent tissues and high adherence of its layers (three layers out of its five layers behave as one unit gliding over the pericranium of the skull), all these factors render reconstruction of scalp defects a challenging task. [5] Tissues adjacent to scalp defect are important in selection of the suitable reconstructive technique regarding tissue pliability, bone involvement and adherence to surrounding tissue due to burn or scar[2] Many techniques have been used in scalp reconstruction starting from a simple approximation of the two edges of the scalp lesion, rotation flaps with their techniques as triple rotation[1], doubleopposing rotation[6] pinwheel flaps[7] up to utilization of regional flaps and tissue expanders. [8] Optimum scalp reconstruction is achieved via preservation of acceptable cosmetics and tension-free closure that provides a durable coverage especially in cases of exposure of calvarium or skull implants. [9] The aim of this study is to introduce a small change in the design and closure technique of the snail flap presented by Christopoulos[10] resulting in improvement in advancement travelling distance of the flap with less rotation leading to reduction on suture points and more stable and durable coverage.
Development of the automatic navigation system for combine harvester based on GNSS

An automatic navigation system was developed to realize automatic driving for combine harvester, including the mechanical design, control method and software design. First of all, for the harvester modified with the automatic navigation system, a dynamic calibration method of the rear wheel center position was proposed. The control part included the navigation controller and the steering controller. A variable universe fuzzy controller was designed to the navigation controller, which used fuzzy control to change the fuzzy universe of input and output dynamically, that means, under the condition that the fuzzy rules remain unchanged, the fuzzy universe changes with the change of input, which is an adaptive fuzzy control method and can modify the control strategy in time. To realize the automatic navigation of the harvester, the decision result of the navigation controller based on the variable universe fuzzy control was input into the steering controller, and then the electric steering wheel was controlled to rotate. To test the performance of the designed automatic navigation system, the experiments were carried out. When the combine harvester was navigating linearly at a speed of 0.8 m/s, the overall root mean square error (RMSE) of the lateral deviation was 5.87 cm. The test results showed that the system was designed could make the combine track the preset path smoothly and stably, and the tracking accuracy was at the centimeter level. Keywords: automatic navigation system, combine harvester, GNSS, development, dynamic calibration, variable universe adaptive fuzzy control DOI: 10.25165/j.ijabe. 20211405.6596 Citation: Li S C, Zhang M, Cao R Y, Ji Y H, Zhang Z Q, Li H, et al. Development of the automatic navigation system for combine harvester based on GNSS. Int J Agric & Biol Eng, 2021; 14(5): 163–171.
Face and emotion recognition using deep learning based on computer vision methods

: Deep learning studies are among the discipline that are rapidly increasing and developing today. Especially after the concept of big data enters our lives, deep learning methods have used to process the data. In the study, it has aimed to detect the face on the picture determined by the user and to conduct emotional analysis and gender determination with the deep learning methods of the detected face. Viola-Jones algorithm has used for face recognition. "Mini_Xception" model of Convolutional Neural Networks (CNN) has used for emotion analysis and gender detection. Estimation rates have measured with 18 different experiments performed. The most successful emotion recognition has measured as 93,11% and the most successful gender recognition has measured as 90,75%. Experiments within the study have supported by visual studies.
Short communication ACQUIRED NON-INCARCERATED INGUINAL/SCROTAL HERNIATION IN WORKING DONKEYS (EQUUS ASINUS)

In equine practice, inguinal hernia is a common disease and can be either acquired (direct) or congenital (indirect). This retrospective study aimed to describe the presentation and surgical management of acquired inguinal/scrotal herniation in 11 working donkeys (nine intact males, one gelding, and one female). All donkeys had a unilateral acquired inguinal/scrotal hernia, which was noticed by the owner for a period of two to 24 weeks. All the swellings were reducible, painless, not accompanied by an acute abdomen. Ultrasonography, rectal, and clinical examination are useful tools for the diagnosis of inguinal/scrotal hernias in donkeys. Eight animals underwent successful inguinal herniorrhaphy with the removal of the testicle at the affected side, and the superficial inguinal ring was closed by application double-layer polypropylene mesh. The recovery period ranged from 14 to 25 days (average, 16.8 ± 2.8 days). All donkeys released from the clinic returned to their previous levels of exercise. Our study showed that acquired inguinal or scrotal herniation in donkeys is not a clinical emergency requiring prompt intervention. To the best of our knowledge, this is the first report describing this condition in donkeys.
Session 16 Overview: Gigahertz Data Converters

2:00 PM 16.2 A 9GS/s 1GHz-BW Oversampled Continuous-Time Pipeline ADC Achieving -161dBFS/Hz NSD H. Shibata, Analog Devices, Toronto, Canada In Paper 16.2, Analog Devices introduces a 9GS/s 1GHz-BW oversampled continuous-time pipeline ADC in 28nm CMOS. This new ADC architecture simultaneously achieves the wide bandwidth of a pipeline ADC and the antialiasing properties of a continuous-time oversampled converter, reaching a -161dBFS/Hz NSD.
Comparison Between UNet, Modified UNet and Dense-Attention Network (DAN) for Building Extraction from TripleSat Imagery

: Building extraction from high resolution remote sensing imagery is of great importance for land use analysis, urban planning, and many other applications. Notably convolutional neural networks (CNN) have shown significant advantage over traditional methods for this task. Among various CNN models, UNet has gained popularity due to its simplicity, efficiency and robustness while many modified versions have been proposed. More recently, a model called the dense attention network (DAN) based on DenseNets and attention mechanism was proposed. This model achieved good performance in building extraction from very high resolution imagery. Based on these developments, in this paper, we compared three architectures (UNet, modified UNet (with residual blocks and recurrent feature), and DAN) for building extraction in Kuala Lumpur, Malaysia using 0.8m TripleSat imagery. For the modified UNet, skip connections were implemented in each encoder blocks to mix features of different levels. Output was multiplied to input and feed to the same UNet again. The comparison results showed that the modified UNet achieved the highest F1-score, while the DAN achieved average higher F1-score than the UNet. But DAN had the highest accuracy for validation patches with large buildings.
Towards a Lean NZ pipfruit industry; improving practices within and between supply chain elements

With a world population estimated to rise 9 billion people in 2050, the New Zealand government has set ambitious primary industry production goals. One key action is to deploy Lean thinking to improve performance. This paper presents findings of an original study into assessing Lean within the NZ pipfruit industry. A survey established the status quo. Case study and action research are used to better understand the value of Lean deployment within the industry. Early findings show encouraging results for progressive organisations.