Miracle-dz/UniFAR-FTUs huggingface dataset:
A Thorough Literature Evaluation of Orthodontic Therapy in Periodontitis Prone Patients

The goal is to look through the literature for clinical scientific facts on the impact of orthodontic treatment on periodontal status in periodontitis prone people. The effects of orthodontic banded attachments on periodontal disease and, more particularly, the bacteria present at the gingival edges, are examined in this paper. This is a review focuses on important advancements in orthodontic methods and microbiological advances that have aided in the clarification of orthodontic appliance interrelationships and gum disease (periodontitis). Suggestions for how they may be improved are given, as well. As well as focusing study on specific regions. This review focuses on interrelation between malocclusion and periodontal diseases and relationship between periodontal diseases and accumulation of bacterial film around the orthodontic appliances which leads to periodontal changes or gum diseases. Study focuses on issues caused due to orthodontic bands and the focuses and shows the gingival changes caused by the orthodontic appliances. It also shows the microbiology responsible of the periodontal diseases caused. The main objective of the study is to evaluate the prevalence of gum diseases in patients with malocclusions and patients with corrected malocclusion with the help of orthodontic appliances. The review also focuses on how to prevent periodontal diseases during orthodontic correction. And shares the measures taken to prevent periodontal diseases during orthodontic corrections. The specificity of the cause and effect is explained in the below given review article. The specific issue caused by the orthodontic appliance is well explained in the review article.
EMPLOYING A COMBINATION OF MULTI CRITERIA DECISION MAKING IN IDENTIFYING FACTORS AFFECTING THE SUCCESSFUL IMPLEMENTATION OF KNOWLEDGE MANAGEMENT (A CASE STUDY OF ANSAR BANK)

Nowadays, organizations that consider competition in the market as their central issue, consider Knowledge Management as one of the activities proposed for efficacy of their activities. Successful implementation of knowledge management requires a holistic and comprehensive approach to various elements of the organization. The main challenge of organizations understands of knowledge management and how to implement it. Each factor in knowledge management play different significant role in the success of KM and on the other hand, these factors has an impact on each other; and also internal dependencies exist between them. Hence, the ultimate goal of this project is to identify the factors affecting successful implementation of KM, identifying relationships between them and their prioritization in Ansar Bank. To this purpose, first, influencing factors are extracted from the research literature and previous studies and after approval of these factors by banking experts; Multi-criteria decision making techniques are used that takes into account the correlations between factors. DEMATEL method is used to find a causal relationship between factors and using ANP method, the weighting of each of them will be conducted based on the expert's opinion. An important result of this study is to identify factors affecting the successful implementation of knowledge management in the banking network.
Control of Corn Silage Quality on Farms for Milk Production in Northern Bosnia and Herzegovina

The research objective was to monitor and compare the quality of corn silage on farms in the period 2008 - 2012 by years of the research. The analysis of corn silage was done at 65 farms in the northern part of Bosnia and Herzegovina, where is the largest production of raw milk - about 85 % of total production in Bosnia and Herzegovina. The medium value of crude protein (CP) per years of the research is 6.94 % in 2008; 6.82 % in 2010 and 6.31 % in 2012. The acidity (pH), the medium value per years of the research is 3.81 in 2008; 4.03 in 2010 and 4.01 in 2012. The medium value of crude cellulose (SC) per years of the research is 31.69 % in 2008; 31.9 % in 2010 and 33.99 % in 2012. The moisture con­tent (SV), the medium value per years of the research is 68.48 % in 2008; 68.75 % in 2010 and finally, 68.43 % in 2012.
Chemical Imaging of the Polylactic Acid − Wood Adhesion Interface of Bonded Veneer Products

The increasing use and potential of polylactic acid (PLA) in wood-based composite materials due to its greater performance over common polyolefins provides the justification for a closer examination of the PLA−wood adhesion performance. In PLA-bonded laminates and composites, the optical differentiation between PLA polymer and wood is not possible and necessitates complex techniques such as fluorescence microscopy to characterize the PLA adhesion interface. In this study, spatial chemical imaging via FTIR analysis has been successfully applied to directly identify PLA bondlines within PLA-bonded veneer laminates and to determine the migration of semi-crystalline and amorphous PLAs from the bondline into the wood structure. This method uses involved point contouring line spectra over the bondline area to distinguish the PLA polymer from the wood. From this quantitative analysis, it is revealed that bondline thickness and PLA penetration values depend on pressing temperature, and this has implications for the reinforcement of the adhesion interface and the bondline performance. Furthermore, in developing a methodology for this assessment, this spatial chemical imaging approach can equally be applied to other polyester, amide, and urethane systems used to bond wood laminates.
Diagnostic Value of Interferon-Gamma Release Assays for Tuberculosis in the Immunocompromised Population

Interferon-gamma release assays (IGRAs) are widely used in the diagnosis of Mycobacterium tuberculosis (M. tuberculosis) infection by detecting interferon-γ released by previously sensitized T-cells in-vitro. Currently, there are two assays based on either enzyme-linked immunosorbent assay (ELISA) or enzyme-linked immunospot (ELISPOT) technology, with several generations of products available. The diagnostic value of IGRAs in the immunocompromised population is significantly different from that in the immunocompetent population because their results are strongly affected by the host immune function. Both physiological and pathological factors can lead to an immunocompromised situation. We summarized the diagnostic value and clinical recommendations of IGRAs for different immunocompromised populations, including peoplewith physiological factors (pregnant and puerperal women, children, and older people), as well as people with pathological factors (solid organ transplantation recipients, combination with human immunodeficiency virus infection, diabetes mellitus, end-stage renal disease, end-stage liver disease, and chronic immune-mediated inflammatory diseases). Though the performance of IGRAs is not perfect and often requires a combination with other diagnostic strategies, it still has some value in the immunocompromised population. Hopefully, the newly developed IGRAs could better target this population.
Polymorphisms in DNA Repair and Xenobiotic Biotransformation Enzyme Genes and Lung Cancer Risk in Coal Mine Workers

Background: Currently coal mining employs over 7 million miners globally. This occupational setting is associated with exposure to dust particles, heavy metals, polycyclic aromatic hydrocarbons and radioactive radon, significantly increasing the risk of lung cancer (LC). The susceptibility for LC is modified by genetic variations in xenobiotic detoxification and DNA repair capacity. The aim of this study was to investigate the association between GSTM1 (deletion), APEX1 (rs1130409), XPD (rs13181) and NBS1 (rs1805794) gene polymorphisms and LC risk in patients who worked in coal mines. Methods: The study included 639 residents of the coal region of Western Siberia (Kemerovo region, Russia): 395 underground miners and 244 healthy men who do not work in industrial enterprises. Genotyping was performed using real-time and allele-specific PCR. Results: The results show that polymorphisms of APEX1 (recessive model: ORadj = 1.87; CI 95%: 1.01–3.48) and XPD (log additive model: ORadj = 2.25; CI 95%: 1.59–3.19) genes were associated with increased LC risk. GSTM1 large deletion l was linked with decreased risk of LC formation (ORadj = 0.59, CI 95%: 0.36–0.98). The multifactor dimensionality reduction method for 3-loci model of gene–gene interactions showed that the GSTM1 (large deletion)—APEX1 (rs1130409)—XPD (rs13181) model was related with a risk of LC development. Conclusions: The results of this study highlight an association between gene polymorphism combinations and LC risks in coal mine workers.
No looking back: the effects of visual cues on the lexical boost in structural priming

ABSTRACT Four structural priming experiments investigated the lexical boost effect in structural priming. In two experiments, we tested whether repeating the subject in prepositional object or double object ditransitive structures boosted structural priming. In two other experiments, we manipulated the repetition of the verb. Repetition of the subject noun affected structural priming, but only when the prime remained visible while participants produced the target sentence. In contrast, repetition of the verb boosted priming regardless of whether participants could see the prime and target simultaneously. We conclude that the subject noun repetition effect is more strategic in nature than the verb boost effect. Structures are automatically associated with the verb, their syntactic head, whereas repetition of the subject noun only affects priming if the presentation method makes the repetition highly explicit.
Identification of Catechins’ Binding Sites in Monomeric Aβ42 through Ensemble Docking and MD Simulations

The assembly of the Amyloid-β peptide (Aβ) into toxic oligomers and fibrils is associated with Alzheimer’s disease and dementia. Therefore, disrupting amyloid assembly by direct targeting of the Aβ monomeric form with small molecules or antibodies is a promising therapeutic strategy. However, given the dynamic nature of Aβ, standard computational tools cannot be easily applied for high-throughput structure-based virtual screening in drug discovery projects. In the current study, we propose a computational pipeline – in the framework of the ensemble docking strategy – to identify catechins’ binding pockets in monomeric Aβ42. It is shown that both hydrophobic aromatic interactions and hydrogen bonding are crucial for the binding of catechins to Aβ42. Also, it has been found that all the studied ligands, especially the EGCG, can act as potent inhibitors against amyloid aggregation by blocking the central hydrophobic region of the Aβ. Our findings are evaluated and confirmed with multi-microsecond MD simulations. Finally, it is suggested that our proposed pipeline, with low computational cost in comparison with MD simulations, is a suitable approach for the virtual screening of ligand libraries against Aβ.
Eponyms in Pathology- A Review

Eponyms in medicine have been used widely, as an alternate between the non-possessive and possessive forms. They are used in medicine for better understanding. It also indicates invention, substance with similar appearance, institution name etc., who have discovered or to commemorate their contribution. An extensive review of literature of Eponyms in Pathology by a collection of data from PubMed, Cambridge core, google scholar, Cochrane, and semantic scholar-based medicine articles collected from 2020 - 2021. Articles were searched with a keyword like “Eponyms in pathology and Appearance in pathology “. Those articles about pathological eponyms are included as study reference. Non indexed and poor grammatical articles were excluded. From which data was analysed to interpret the results. The objective of this study was about the understanding and recognizing the complex pathological patterns.
Environmental worthiness analysis of the jointing waveguide in moist heat climate

Environmental worthiness of the waveguide's welded joint was analyzed base on the test results of the silver welded of copper wave-guide and the aluminum-welded of aluminium wave-guide after exposed in the shed under the environments of seashore and moist heat industry climate for 5 years. Weakness place of the waveguides was found in moist heat climate. The place is the area of welded joint and heated affection. From the variable appearance, the erosions of the two type samples were found under the different environments. They presented that the environment can destroy the metal surface protective layer.
Evaluation of peripapillary retinal nerve fiber layer thickness in patients with primary open-angle glaucoma

Introduction/Objective. Determination of the difference in peripapillary retinal nerve fiber layer (RNFL) thickness in patients with open-angle glaucoma (POAG) in comparison to the healthy population and according to the progression of the disease. Methods. Four groups were formed among 120 patients: group without glaucoma, early, moderate POAG and preperimetric glaucoma group. Visual field and optical coherent tomography were performed. Results. RNFL thickness value was found to be the highest in inferior quadrant, second highest in superior, third in nasal, the lowest in temporal quadrant. The highest average value of RNFL thickness was in superior quadrant of the healthy group (124.3 ? 17.8? m), and the lowest was in temporal quadrant of the moderate group (46.5 ? 10.8? m). Other RNFL thickness values per quadrants among groups were distributed between these two endpoints. AvgThic in patients with moderate POAG was lesser than in patients with early POAG, which was lesser than in the healthy subjects (59.6 ? 10.6? m vs. 73.4 ? 12.1? m vs. 105.5 ? 11.3? m). AvgThic in preperimetric glaucoma group was 83.6 ? 9.2? m. Pearson correlation showed high positive correlation between MD values and following parameters: AvgThic, S, I, Smax, Imax, Savg, Iavg. ROC curves found that the parameter with the best diagnostic ability was AvgThic, with area of 0.803(< 0.0005), sensitivity of 67% and specificity of 83.3%. Conclusion. Peripapillary RNFL thickness parameters: AvgThic, S, I, Smax, Savg, Iavg, Imax have excellent ability to discriminate between healthy eyes and eyes with POAG. The parameter with the highest specificity and sensitivity is AvgThic, which makes it the best for early detection and monitoring of POAG.
Multimedia category preferences of working engineers

ABSTRACT Many have argued for the importance of continuing engineering education (CEE), but relatively few recommendations were found in the literature for how to use multimedia technologies to deliver it most effectively. The study reported here addressed this gap by investigating the multimedia category preferences of working engineers. Four categories of multimedia, with two types in each category, were studied: verbal (text and narration), static graphics (drawing and photograph), dynamic non-interactive graphics (animation and video), and dynamic interactive graphics (simulated virtual reality (VR) and photo-real VR). The results showed that working engineers strongly preferred text over narration and somewhat preferred drawing over photograph, animation over video, and simulated VR over photo-real VR. These results suggest that a variety of multimedia types should be used in the instructional design of CEE content.
Engaged Versus Workaholic Employees Job Crafting Behavior: The Moderating Role of Perceived Organization Support

Purpose: Making jobs challenging and interesting is becoming a new trend in organizations and is related to job crafting behavior. Employees with different sort of wellbeing predict diverse crafting behaviors. This study is about making comparisons between the two states of wellbeing that can be differentiated on theoretical backgrounds: work engagement and work holism. Specifically, both well beings may differently predict job crafting behavior Design/Methodology/Approach: This study was quantitative in nature and applied on a sample of 285 faculty members working in higher education institutions in Pakistan. Further, the moderating effect of perceived organizational support was tested by using the SEM-AMOS. Findings: The findings revealed that engaged employees always craft their jobs even if they don’t perceive considerable support from their organizations. But the employees who are workaholic, do not usually craft their jobs, but adopt job crafting behavior when they perceive an organizational support. Implications/Originality/Value: This study points towards an important theoretical connection between employee wellbeing and job crafting behavior. It concludes that employee wellbeing is essential for job crafting and, specifically, for workaholic employees, perceived organizational support is also important.
Offline signature verification using deep neural network with application to computer vision

Abstract. Biometric technologies, such as handwritten signature verification, are extremely useful for identifying individuals inside an organization or finance department. The improvement of picture categorization using deep learning (DL) neural networks has offered an opportunity to exhibit computer vision in contemporary research applications by applying image processing approaches. Manual signature verification is inefficient, error-prone, time-consuming, and inconvenient; therefore, it is critical to create an automatic signature verification recognition system. This research offers an automatic recognition method based on DL that makes use of the Grupo de Procesado Digital de Seales. The biggest publicly accessible handwritten signature dataset, the synthetic signature dataset, was used to classify the signatures of 100 people, each of whom possessed 24 genuine signatures and 30 forged signatures. An inception V3 transfer learning (TL) model is proposed by hyper-tuning different layers from the middle of its architecture and this model is fine-tuned by adding layers, such as flatten, dense (1024), dropout (0.5), and dense (1). The suggested model was tested against six well-known pre-trained TL convolutional neural network models: VGG 16, VGG 19, ResNet 50, ResNet 101, MobileNet, and EfficientNet. The suggested model surpasses the pre-trained models. Precision, sensitivity, and F1-score are likewise outperformed by the model, with the values of 88%, 88%, and 87%, respectively. The accuracy of the pre-trained models was evaluated as 80%, 81%, 77%, 73%, 71%, and 74%, respectively. The suggested fine-tuned inception V3 gives the highest accurate classifications, distinguishing between genuine and forged signatures with an accuracy of 88%. This study will aid researchers in developing more effective CNN-based models for offline signature verification with application to computer vision.
Evaluation of Genetic Diversity in Three Diospyros Species, Collected from Different Regions in Iran, Using ISSR and SCoT Molecular Markers

ABSTRACT The Diospyros genus contains approximately 400 to 500 species, among which D. kaki is cultivated as the edible persimmon. Knowledge about the genetic diversity of Diospyros genotypes is of high significance for breeding programs. In this research, the genetic diversity of 57 Diospyros genotypes collected from different regions of Iran was evaluated using inter simple sequence repeats (ISSR) and start codon targeted (SCoT) markers. Seven ISSR and 10 SCoT markers produced a total of 42 and 75 fragments with the averages of 6 and 7.5 fragments per primer, respectively. The average polymorphism information content (PIC) for ISSR markers was 0.3 and for SCoT markers was 0.36. The average marker index (MI) for ISSR and SCoT markers were 1.81 and 1.79, respectively. Cluster analysis based on Jaccard’s genetic similarity coefficient and UPGMA method classified 57 Diospyros genotypes into four main groups based on ISSR and SCoT markers. However, the clustering pattern based on the combination of ISSR and SCoT markers data separated the species genotypes better than each marker alone. Accordingly, groups 1 and 2 contained all D. kaki genotypes, both encompassing various subgroups, group 3 included D. lotus and group 4 included D. virginiana genotypes. Genotype distribution visualized with principal coordinate analysis (PCoA) was in accordance with the cluster analysis. Based on our results Iran is a rich source of Diospyrus germplasm, and a combination of ISSR and SCoT markers can be used as an accurate technique for evaluating genetic diversity among the Diospyros genotypes.
An AI-Empowered Home-Infrastructure to Minimize Medication Errors

This article presents an Artificial Intelligence (AI)-based infrastructure to reduce medication errors while following a treatment plan at home. The system, in particular, assists patients who have some cognitive disability. The AI-based system first learns the skills of a patient using the Actor–Critic method. After assessing patients’ disabilities, the system adopts an appropriate method for the monitoring process. Available methods for monitoring the medication process are a Deep Learning (DL)-based classifier, Optical Character Recognition, and the barcode technique. The DL model is a Convolutional Neural Network (CNN) classifier that is able to detect a drug even when shown in different orientations. The second technique is an OCR based on Tesseract library that reads the name of the drug from the box. The third method is a barcode based on Zbar library that identifies the drug from the barcode available on the box. The GUI demonstrates that the system can assist patients in taking the correct drug and prevent medication errors. This integration of three different tools to monitor the medication process shows advantages as it decreases the chance of medication errors and increases the chance of correct detection. This methodology is more useful when a patient has mild cognitive impairment.
Key Recovery for Content Protection Using Ternary PUFs Designed with Pre-Formed ReRAM

Physical unclonable functions, embedded in terminal devices, can be used as part of the recovery process of session keys that protect digital files. Such an approach is only valuable when the physical element offers sufficient tamper resistance. Otherwise, error correcting codes should be able to handle any variations arising from aging, and environmentally induced drifts of the terminal devices. The ternary cryptographic protocols presented in this paper, leverage the physical properties of resistive random-access memories operating at extremely low power in the pre-forming range to create an additional level of security, while masking the most unstable cells during key generation cycles. The objective is to reach bit error rates below the 10−3 range from elements subjected to drifts and environmental effects. We propose replacing the error correcting codes with light search engines, that use ciphertexts as helper data to reduce information leakage. The tamper-resistant schemes discussed in the paper include: (i) a cell-pairing differential method to hide the physical parameters; (ii) an attack detection system and a low power self-destruct mode; (iii) a multi-factor authentication, information control, and a one-time read-only function. In the experimental section, we describe how prototypes were fabricated to test and quantify the performance of the suggested methods, using static random access memory devices as the benchmark.