Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of EfficientNetV2 and YoloV5 for tomato leaf disease identification

In this study, we selected the 10 most common tomato leaf diseases with reference to the common disease symptoms of tomato, and built a tomato leaf dataset with labelimg After preprocessing the tomato leaves with labeling, we applied two learning models, EfficientNetV2 and YoloV5„ EfficientNetV2 is a convolutional network model just released in April 2021, this model can better classify tomato leaves to an effective degree, and it has a better training speed and efficiency compared to the previous series of models. After image classification with EfficientNetV2, target detection is needed, and since the algorithm for recognition needs to be built on the inspection robot, the target detection algorithm needs to be extremely accurate. This time on the leaf disease recognition used YoloV5 algorithm detection in the target detection training, Yolo model recognition of high accuracy, in the detection of the leaf, training leaf data set is also the best effect, and V5 model deepening widening network, so that AP accuracy is also increasing, and thus in the speed of consumption above is rising, so In the case of equipped inspection robot, the effect is very objective.
HOW SCRUM IMPROVES PROJECT-BASED COURSEWORK AT UNIVERSITY

In this paper, we describe our experience and knowledge from applying the Scrum methodology into the learning process of a study program called Business informatics at Department of cybernetics and artificial intelligence. It combines informatics like software development or data analytics with economical knowledge, such as financial markets trading, enterprise economic analysis or e-commerce. This combination produces valuable graduates for the IT market consisting of cooperating companies from a cluster named Ko š ice IT Valley. Since some of them started to use Scrum in their development processes, they welcomed our effort to familiarize students with this approach. From our point of view, Scrum helps our students to improve their study results and various personal skills
Simpler STATCOM operation based on PWM with a finite-state machine

Static synchronous compensators are based on a Voltage Source Converter for effective voltage control. The modulation technique used to switch the transistors of the VSC has an impact on the performance obtained from these systems. In this paper, an SVPWM-based modulation that is modified using a state machine is analysed. Due to the simplicity of this implementation as well as the current availability of micro-processors with high computational capabilities, the proposed technique can be very useful. By means of Matlab/Simulink simulations, the behaviour of this new modulation technique is analysed, highlighting that a harmonic distortion similar to that obtained with conventional Pulse Width Modulation and Sine Pulse Width Modulation methods is achieved.
Descriptive Genomic Analysis and Sequence Genotyping of the Two Papaya Species (Vasconcellea pubescens and Vasconcellea chilensis) Using GBS Tools

A genotyping by sequencing (GBS) approach was used to analyze the organization of genetic diversity in V. pubescens and V. chilensis. GBS identified 4675 and 4451 SNPs/INDELs in two papaya species. The cultivated orchards of V. pubescens exhibited scarce genetic diversity and low but significant genetic differentiation. The neutrality test yielded a negative and significant result, suggesting that V. pubescens suffered a selective sweep or a rapid expansion after a bottleneck during domestication. In contrast, V. chilensis exhibited a high level of genetic diversity. The genetic differentiation among the populations was slight, but it was possible to distinguish the two genetic groups. The neutrality test indicated no evidence that natural selection and genetic drift affect the natural population of V. chilensis. Using the Carica papaya genome as a reference, we identified critical SNPs/INDELs associated with putative genes. Most of the identified genes are related to stress responses (salt and nematode) and vegetative and reproductive development. These results will be helpful for future breeding and conservation programs of the Caricaceae family.
Bulletin of Electrical Engineering and Informatics

Received Apr 4, 2022 Revised Jul 7, 2022 Accepted Sep 5, 2022 Sentiment analysis in the Arabic language is challenging because of its linguistic complexity. Arabic is complex in words, paragraphs, and sentence structure. Moreover, most Arabic documents contain multiple dialects, writing alphabets, and styles (e.g., Franco-Arab). Nevertheless, fine-tuned bidirectional encoder representations from transformers (BERT) models can provide a reasonable prediction accuracy for Arabic sentiment classification tasks. This paper presents a fine-tuning approach for BERT models for classifying Arabic sentiments. It uses Arabic BERT pre-trained models and tokenizers and includes three stages. The first stage is text preprocessing and data cleaning. The second stage uses transfer-learning of the pre-trained models’ weights and trains all encoder layers. The third stage uses a fully connected layer and a drop-out layer for classification. We tested our finetuned models on five different datasets that contain reviews in Arabic with different dialects and compared the results to 11 state-of-the-art models. The experiment results show that our models provide better prediction accuracy than our competitors. We show that the choice of the pre-trained BERT model and the tokenizer type improves the accuracy of Arabic sentiment classification.
Lens–Based Beamformer for Low–Complexity Millimeter–Wave Cellular Systems

Data rate requirements for cellular communications are expected to increase 1000–fold by 2020, compared to 2010. This is mainly because of the rapid increase in the number of wireless devices and data hungry applications per–device. This creates a formidable bandwidth crisis. Milimeter–wave (mmWave) systems with massive multiple–input multiple–output (MIMO) operation are two complementary concepts poised to meet this exploding demand, as verified by the wealth of investigations by both industry and academia. Nevertheless, existing MIMO processing techniques, requiring a dedicated radio–frequency (RF) up/down–conversion chain per antenna, results in prohibitively high complexity and cost of the mmWave prototypes. The primary objective of this paper is to present a complete feasibility study on alternative beamforming techniques targeted to reduce the system complexity without drastically compromising its performance. More precisely, at 28 GHz, we investigate the end–to–end performance of two different lens–based beamforming topologies. Our study is an amalgam of theoretical modelling, electromagnetic design, and prototype manufacturing, yielding a comprehensive mmWave, massive MIMO performance evaluation.
Micro-/Nanofibrillated Cellulose-Based Coating Formulations: A Solution for Improving Paper Printing Quality

The use of micro-/nanofibrillated celluloses (M/NFCs) is often considered for the enhancement of paper properties, while it is still challenging to use them in lower weight gain coatings. This work explores how they might be used on the paper surface to improve the printing quality. In this regard, M/NFCs were produced using different pre-treatment methods, including mechanical (m-MFC), enzymatic (e-MFC), TEMPO-mediated oxidation (t-NFC) and cationization (c-NFC), and uniform coating formulations were developed through the cooking of starch and M/NFCs simultaneously. The formulations, at 6–8% of total solid concentration, were applied to the paper surface by roll coating, resulting in a dry coating weight of 1.5 to 3 g/m2. Besides M/NFCs, other components such as starch betainate (a cationic starch ester; SB), Pluronics® (a triblock co-polymer), precipitated calcium carbonate (PCC) and betaine hydrochloride (BetHCl) were also used in the M/NFC-based coating formulations to observe their combined influence on the printing quality. The presence of M/NFCs improved the paper printing quality, which was further enhanced by the increase in cationic charge density due to the presence of BetHCl/SB, and also by Pluronics®. The cationic charge of c-NFC was also found to be effective for improving the gamut area and optical density of coated papers, whereas whiteness was often reduced due to the quenching of the brightening agent. BetHCl, on the other hand, improved the printing quality of the coated papers, even though it was more effective when combined with M/NFCs, PCC and Pluronics®, and also helped to retain paper whiteness.
Novel Compact Microstrip Antennas With Two Different bands For 5G Applications

In this paper, millimeter-wave (MMW) antennas with two different designs have been proposed for fifth generation (5G) wireless applications. These novel antennas have a greater fractional bandwidth and an appropriate gain, making them suitable for a variety of applications such as fixed wireless services, broadcasting, land mobile, and many millimeter applications. Each antenna design has a different model and characteristics. The two designs resonate at different frequencies, 39.7 GHz and 43 GHz, which are suitable for 5G applications in many countries like Canada, the United States of America, Japan, and Australia. A commercial electromagnetic simulator (CST-Studio) was used to construct and optimize the proposed models. The proposed MMW models are designed on a compact Rogers Substrate RT-5880 with a thickness of h = 0.508 mm, a loss tangent $\delta$ value of 0.0009, and a dielectric constant $\left(\varepsilon_{r}\right)$of 2.2. The proposed antennas have a simple design structure to ensure reliability, mobility, and high efficiency, which can be used for many (5G) wireless applications. The proposed models provide a moderate gain of 6 dBi to 7 dBi. The impedance bandwidth of the proposed models ranges from 38.4 GHz to 41.1 GHz for the first model, which is equal to 2.7 GHz, and 41.6 GHz to 44.7 GHz for the second model, which is equal to 3.1 GHz. The efficiency of the models is about 73.8% and 78%, respectively, which is sufficient to meet the requirements of 5G wireless applications.
Unimodal productivity–biodiversity relationship along the gradient of multidimensional resources across Chinese grasslands

Abstract Resources can affect plant productivity and biodiversity simultaneously and thus are key drivers of their relationships in addition to plant–plant interactions. However, most previous studies only focused on a single resource while neglecting the nature of resource multidimensionality. Here we integrated four essential resources for plant growth into a single metric of resource diversity (RD) to investigate its effects on the productivity–biodiversity relationship (PBR) across Chinese grasslands. Results showed that habitats differing in RD have different PBRs—positive in low-resource habitats, but neutral in medium- and high-resource ones—while collectively, a weak positive PBR was observed. However, when excluding direct effects of RD on productivity and biodiversity, the PBR in high-resource habitats became negative, which leads to a unimodal instead of a positive PBR along the RD gradient. By integrating resource effects and changing plant–plant interactions into a unified framework with the RD gradient, our work contributes to uncovering underlying mechanisms for inconsistent PBRs at large scales.
Artistic Text Effect Transfer with Conditonal Generative Adversarial Network

With the wider application of artistic text in real scenes, the artistic text effect transfer has become an increasingly important topic in the field of computer vision. Existing methods either maintain poor structural information or poor effect information, both of which can seriously deteriorate the final result. We propose a conditional generative adversarial network to solve this problem, by alternately training the generator and the discriminator. The structure of the generator is Unet, which is an encoder-decoder with skip connections between the corresponding mirrored layers. We inject the conditional information of the reference effect image into the generator using a simple but effective concatenate strategy. The discriminator, which is conditioned on the generator's input to determine how true its output is. Ideally, the discriminator acts as a loss function and guides the optimization of the generator. Qualitative and quantitative results are performed on TE141k dataset, which demonstrate the proposed network outperforms the existing SOTA models and has good visual results.
Subculturing and Gram staining of blood cultures flagged negative by the BACTEC™ FX system: Optimizing the workflow for detection of Cryptococcus neoformans in clinical specimens

Objective To investigate whether an incubation time of 5 days (Aerobic/F, Anaerobic/F) and 14 days (Myco/F) blood culture bottles is sufficient to prevent false-negative results. Methods We evaluated 1,244 blood bottles (344 patients) defined as negative by the BACTEC™ FX system. We also reviewed published cases and our own cases of bloodstream infection caused by Cryptococcus neoformans and simulated different scenarios, including different inoculation concentrations, bottle types, and clinical isolates. Results Two bottles (0.16%) were found to contain C. neoformans when subcultured and Gram stained. A 5-day protocol with Aerobic/F bottles was insufficient for the growth of C. neoformans in some cases, and C. neoformans grew better in Myco/F bottles than in Aerobic/F bottles. Conclusion Subculturing and Gram staining after a 5-day protocol were important for the detection of C. neoformans, and Myco/F bottles should be collected for the blood culture of C. neoformans.
Coaching to build commitment for generating performance improvement

PurposeThe essay is practitioner-focused with manager-as-coach applying experiential learning to aid an employee's learning and improve performance as well as helping to build employee commitment to job and organization. Reciprocity is intended as the learning and commitment of both the employee and manager are enhanced.Design/methodology/approachAs a conceptual, not empirical, paper, the present study aimed at guiding manager behavior the methodology aims to examine the areas of manager-as-coach, efficacy of coaching, theoretical grounding of employee commitment and experiential learning processes. Study and coordination of information in these areas provided support for a detailed action plan for practical application.FindingsIt is possible to create for manager use a research results driven practical guide/action plan. The guide incorporates manager skills and commitment theory (investment) along with an experiential learning approach aimed at improving employee growth and building commitment.Practical implicationsThere is clear evidence in empirical research that finds employee commitment positively related to work performance, job engagement and job retention. This essay aims at application of investment theory to build commitment as it is based on actual inputs and efforts of the employee.Originality/valueThere is very little research currently available that directly addresses manager-as-coach deliberately working to increase or build employee commitment to job, organization or the manager her/himself. This essay aims directly at how commitment may be enhanced.
The Impact of Theoretical and Practical Guidance Regarding Metered Dose Inhaler Technique on Asthma Patients

Background: Asthma is rapidly increasing globally. Inhalation therapy is the backbone for asthma management due to localized delivery and rapid onset of action. Currently, metered dose inhalers (MDIs) are the most widely prescribed and dispensed inhaler devices worldwide due to the advantage of portability, multiple dose delivery and better efficacy. Objectives: The current study aimed to access the effect of educational intervention on asthma patients’ competency regarding pressurized metered dose inhaler (pMDI) technique. Methods: Asthma patients were recruited from Pakistan Institute of Medical Sciences (PIMS) Islamabad, Pakistan. Inhaler technique steps based upon “National Asthma Education and Preventive Program” (NAEPP) criteria was set as evaluating tool to evaluate competency of asthma patients regarding MDI appropriate technique. Intervention involved educating study subjects (asthma patients) practically through placebo inhaler and theoretically through inhaler technique directed literature brochures. Pre intervention and post intervention inhaler technique competency was accessed and evaluated statistically. Results: Among 207 asthma patients, majority were never instructed by healthcare professional regarding inhaler technique (78.8%). However, most of the patients were observed to have inadequate inhaler technique (76.3%) at baseline. As the result of educational intervention, the competency of patients regarding inhaler technique was significantly enhanced from 11.6% pre-intervention to 34.8% post-intervention ( p<0.001 ), statistically analyzed by McNemar testing. Conclusion: Originally, inhaler technique competency of majority of asthma patients was observed to be inappropriate. However, educational intervention proved to be effective in substantially enhancing the competency of study subjects regarding MDI technique.
BOCA: A novel semantic blockchain-based authentication system of educational certificates

In industrial and academic working environments, illegitimate academic certificates have been prepared by individuals who aim to be employed without completing regulated training and education programs. This violation has made an unjust confusion between genuine and fake certificates. Within the hiring process, employers thus need a reliable mechanism for verifying academic certificates that ensures the integrity of data. In accordance with this aim, blockchain technology has been introduced and deployed at some universities supporting fraud prevention or secure access to certificates. However, the method of handling knowledge in these educational systems was not investigated devotedly. This paper introduces an authentication framework of educational certificates that employed blockchain and ontology technologies, named BOCA. The learning ontology (LeOn), which was used to represent the central knowledge model of the system, was assigned to semantically manage the domain knowledge and link the educational data to the blockchain network. The system features, including the working process, the LeON ontological development, and the rule base construction, are described in detail. The system deployment on Hyperledger Fabric yielded promising experimental results. Ongoing work focuses on improving system performance and allowing semantic search on data blocks.
Evaluation of Quality of Nursing Work-Life: Based on Swanson’s Theory of Caring

BACKGROUND OF THE STUDY: Quality of Nursing Work-Life has become a major factor in influencing the quality of nursing services. Meanwhile, the caringbehavior that is shown by nurses can predict the value of their work quality AIM OF THE STUDY: This study aimed to assess the QNWL and to identify the predictors based on Swanson's theory of caring including compassion,competence, and upholding trust. METHODOLOGY: Cross-sectional studies were conducted in a nurse at a hospital in Tulungagung and a hospital in Banyuwangi (n = 420 by simple random sampling) from January to April 2021. The instrument in this study was developed by standard guidelines of Swanson's theory andQNWL's instruments. Multiple linear regression was used to identify predictors. RESULTS: The mean score of QNWL was 132.05 (SD = 0.936) (range of possible score = 32 - 160). Upholding trust (0.01), Compassion (0.03), and competence (0.02) significantly predicted QNWL (R Square = 0.795). CONCLUSION: The constructs of Swanson's Theory significantly predicted QNWL. This study supports an investigation about the factors underlying QNWL on a larger scale, as well as the identification of targets in designing future interventions.
Histological Pattern of Ameloblastoma in Affiliated Hospitals of Oral and Maxillofacial Surgery Department Faculty of Dental Medicine Airlangga University

Introduction: Ameloblastoma is a benign tumor. Clinically there are no distinct differences from the types of ameloblastoma. The correlation of clinical, radiological, and histological features is expected to provide a better understanding of this disease. This study to describe the distribution of the histopathological type of mandibular ameloblastoma in patients post mandibular resection. Methods: This study was a retrospective study with a descriptive method using total sampling of the medical records of mandibular ameloblastoma patients who had undergone mandibular resection and with viable postoperative histopathological data in the hospital network of the Department of Oral and Maxillofacial Surgery, Airlangga University, Surabaya in 2015-2019. Results: 22 data samples were obtained. The histolopathological examination of all subtypes, the most common type of pattern was 14 cases with mixed type histological patterns, the most common combination was follicular & plexiform type in the third decade of life, and the single histology subtype most commonly found was the follicular type. No statistically significant differences were found between the histopathological subtypes, mixed type of ameloblastomas and the demographical and clinical parameters, but significant results were found between mixed type and tumor location Conclusion: The most common histologic type is mixed type with a combination of folicular and plexiform types, but it is recommended to use immunohistochemistry examination to provide a better understanding.
Distribution of Mercury and Methylmercury in Farmland Soils Affected by Manganese Mining and Smelting Activities

Manganese (Mn)-related activities would affect the mercury (Hg) cycling in farmlands, whereas this was not well understood. Here, one of the largest Mn ores in China was selected to study the effects of Mn-related activities on the accumulation and distribution of total Hg (THg) and methylmercury (MeHg) in farmland soils. The soil THg concentrations in the mining area were 0.56 ± 0.45, 0.56 ± 0.45, 0.53 ± 0.44, and 0.50 ± 0.46 mg kg−1 in the 0–10, 10–20, 20–30, and 30–40 cm layers, respectively, while they were increased to 0.75 ± 0.75, 0.72 ± 0.60, 0.62 ± 0.46, and 0.52 ± 0.38 mg kg−1 in the smelting area. Similarly, the soil MeHg concentrations in the smelting area were also elevated by 1.04–1.34 times as compared to those in the mining area. Concentrations of THg (0.59 ± 0.50 mg kg−1) and MeHg (0.64 ± 0.82 μg kg−1) in soils were higher than the regional background value but lower than in vicinal Hg-mining areas, while they were largely elevated at the intersection of two rivers in the smelting area. Significant positive Mn-THg relationship (p < 0.01) and negative Mn-MeHg relationship (p < 0.01) favored the conclusion that soil Mn could promote Hg accumulation while inhibiting MeHg production. Approximately 70% of soil Hg was distributed in the residual phase, and the environmental hazard was not elevated according to a geochemical model. Overall, mining and smelting activities of Mn ores have resulted in obvious and distinct effects on the accumulation and methylation of Hg in farmland soils, but the environmental hazards are currently manageable.
Linguistics of sports media discourse: metaphors that produce sense of belonging

The article is devoted to the study of conceptual metaphor SPORT is UNITY OF PEOPLE that contributes to creating the sense of belonging among target audience of sports analytical articles. As far as author's position is likely to be emotional, the text of sports articles tends to be very metaphorical, containing reference to UNITY concept that in its turn evokes feeling of belonging. The latter one has been analysed as a triad of interconnected components: companionship , affiliation and connectedness , that generate attachment on interpersonal, community and social levels accordingly.