Miracle-dz/UniFAR-FTUs huggingface dataset:
Bedside Evaluation of Hearing: A comparrative Evaluation of 4 Frequencies

Tuning fork tests are commonly performed for bedside evaluation of hearing. Even though these have been used by clinicians for many decades, uncertainty exists as regards the most useful frequency. 128, 256, 512, and 1024 Hz frequencies have been utilized by various studies and 256 and 512 have been found to be more suitable than the other two frequencies. [1,2] There are differences in the perceived utility of these two frequencies as specificity and sensitivity issues have been documented with either of the two, along with falsepositive results. We conducted this study to determine the accuracy of four standard frequencies of tuning forks and using pure tone audiometry as the standard reference to determine the most appropriate frequencies for bedside evaluation of hearing.
Monitoring Flavor Quality, Composition and Ripening Changes of Cheddar Cheese Using Fourier-Transform Infrared Spectroscopy

ii ACKNOWLEDGEMENTS. v VITA. vii LIST OF TABLES. xi LIST OF FIGURES . xii CHAPTER 1 . 1 LITERATURE REVIEW . 1 1.1 CHEDDAR CHEESE. 1 1.1.1 Cheddar Cheese Manufacture . 3 1.1.2 Cheddar Cheese Ripening. 5 1.1. 3 Biochemical Changes during Ripening . 6 1.1. 3.1 Metabolism of Lactose, Lactate and Citrate . 6 1.1. 3.2 Lipolysis and Catabolism of Free Fatty Acids. 8 1.1. 3.3 Proteolysis and Catabolism of Amino Acids . 9 1.1. 4 Factors Affecting Ripening and Flavor Development . 13 1.1. 5 Cheddar Cheese Flavor . 15 1.1. 5.1 Component Balance Theory . 15 1.1. 5.2 Contribution of Volatile Phase. 15 1.1. 5.3 Contribution of Aqueous Phase . 16 1.1. 6 Monitoring Cheese Ripening and Flavor. 17 1.2 FOURIER-TRANSFORM INFRARED SPECTROSCOPY . 19 1.2. 1 Brief History . 19 1.2. 2 Fourier-Transform Mid-Infrared Spectroscopy . 20 1.2. 3 Construction of FTIR Spectrometers . 21 1.2. 4 Collection of Spectra. 23 1.2. 5 Advantages and Limitations . 26 1.2. 6 Chemometric Analyses of Spectroscopic Data. 27 1.2. 6.1 Principal Component Analysis . 27 1.2. 6.2 Soft Independent Modeling of Class Analogy (SIMCA) . 28 1.2. 6.3 Partial Least Squares Regression (PLSR). 29
Real-Time Parking Lot Occupancy Detection System with VGG16 Deep Neural Network using Decentralized Processing for Public, Private Parking Facilities

Efforts have been taken to develop an efficient image-based parking occupancy detection system employing the camera systems (CCTV) pre installed for security purposes. The present detection system has experienced the problem of identifying the subject with high accuracy and applicability in real time environments. A transfer learning methodology where CNN’s feature extraction was used with binary classifier has proved to provide optimum accuracy. This paper proposes a decentralized system to detect the occupancy status of a parking slot from the CCTV video footage using VGG16 CNN architecture for feature extraction followed by binary classification to detect vacant or occupied spaces. To deliver a complete parking solution, the model has been tested on Live CCTV footages collected from existing parking slots and have provided a complete integrated system that allows real time availability check and booking of parking slots. This paper provides a detailed explanation of the execution of the above system. The performance efficiency and detection are improved by testing the designed model on two datasets Pklot and CNRPark, CNRParkEXT comprising daylight images with multiple weather conditions. The proposed technique is compared with the current state of the art implementations [1],[2]. The dataset has been developed to test the model under low intensity light conditions. With significant accuracy and high-performance throughput observed, the proposed system can be effectively implemented at the commercial level.
MicroRNA-mRNA regulatory network related to lipid metabolism in bovine mammary epithelial cells

Milk fat percentage is an important factor of milk quality in dairy cattle. Functional microRNAs and genes can affect lipid synthesis and metabolism through differential expression in bovine mammary epithelial cells (BMECs). It is necessary to screening the crucial candidate gene and miRNA on milk fat percentage. In this study, we extract total RNA of BMECs isolated from Chinese Holstein cows with high and low milk fat percentages for the conjoint analysis of RNA-seq and Solexa sequencing data. 190 differentially expressed genes and 33 differentially expressed microRNAs (DERs) were enriched in 488 GO terms and 12 KEGG pathways significantly (p <0.05) based on the conjoint analysis. The detection of triglyceride production in BMECs showed that bta-miR-21-3p and bta-miR-148a promote triglyceride synthesis, whereas bta-miR-124a, bta-miR-877, bta-miR-2382-5p and bta-miR-2425-5p inhibit triglyceride synthesis. Meanwhile, the target relationships between PDE4D and bta-miR-148a, PEG10 and bta-miR-877, SOD3 and bta-miR-2382-5p, and ADAMTS1 and bta-miR-2425-5p were verified using luciferase reporter assays and quantitative RT-PCR. The conjoint analysis can more accurately screen candidate regulator related to milk fat percentage at the molecular level, which provided a scientific research method screening functional miRNA and gene for the breeding of new high-quality dairy cows.
The response of single-walled carbon nanotubes to NO2 and the search for a long-living adsorbed species

Contact-passivated sensor devices allow one to measure the response of individual ultraclean single-walled carbon nanotubes to 1 ppm NO2, and show that the activation energies for desorption from nanotubes of diameters in the 1.5–3.5 nm range are of the order of 1 eV. DFT calculations based on several exchange-correlation functionals are presented and critically examined. The nature of the molecular binding is thus clarified for NO2, N2O4, and NO3, and also the dependence on the size of the nanotube. The binding strength of physisorbed NO3 is consistent with the experimental data on desorption.
Learning Online-Aware Representations using Neural Networks

Learning online is essential for an agent to perform well in an ever-changing world. An agent has to learn online not only out of necessity — a nonstationary world might render past learning useless — but also because continual tracking in a temporally coherent world can result in better performance than a fixed solution. Despite the necessity of online learning, we have made little progress towards building robust online learning methods. More specifically, a scalable online representation learning method for neural network function approximators has remained elusive. In this thesis, I investigate the reasons behind this lack of progress. I propose the idea of online-aware representations – data representations explicitly optimized for online learning – and argue that existing representation learning methods do not learn such representations. I investigate if neural networks are capable of learning these representations. My results suggest that neural networks can indeed learn representations that are highly effective for online learning, but learning these representations online using gradient-based methods is challenging. More specifically, long-term credit assignment using back-propagation through time (BPTT) does not scale with the size of the problem. To address this, I propose Learning with Backtracking for slowly and continually improving representations online. The primary idea behind LwB is that while it is not possible to compute an accurate estimate of the representation update online, it is possible to verify if an update is useful online.
Assessment of Pyogenic Granuloma of the Gingiva in Iraqi Patient

Pyogenic granuloma is smooth or lobulated mass that is usually pedunculated, while some lesion aresessile. Usually it enlarge until complete its size within weeks or months and rare does exceed 2.5 cmin size. Oral pyogenic granuloma, which in reality is the most common gingival tumor, shows a strikingpredilection for the gingival accounting for 75% of all cases. Material and Method: The data of this studywas collected from oral pathology lab at dentistry college/ University of Baghdad, all cases from 2014 to2018 were reviewed and the pyogenic granuloma cases were recorded after preparing a pathological reportfor each patients the clinical parameters regarding the age, sex, code, site, anatomical location of lesionwere recorded. Results: The total number of pyogenic granuloma cases were 119, 76 cases were pyogenicgranuloma of the gingiva. Number of female equal to 71 while number of males is 48. The highest number26 patients was recorded in association with 11- 20 years group and lowest was in 71- 80 years group(only2 patients). Maxilla is more affected by pyogenic granuloma (66%) than sites in mandibular arch (34%). Conclusion: The clinical, demographic and pathological features of oral pyogenic granuloma in the Iraqipopulation in this study were similar to those in studies of populations from other countries. The predilectionsite of pyogenic granuloma was the gingiva.
Nexus between HR Strategies & Job Satisfaction: Examining Mediating Role of Employee Motivation

: Primarily, purpose of the current research was to examine the influence of Human resource factors like job security, job autonomy and promotional practices on employee motivation and job satisfaction among employees of petroleum firms in Indonesia. Moreover, the research has also surveyed the mediating aspect of employee motivation among mentioned HR factors and job satisfaction. For data collection, the survey methodology was chosen for the present study. The researcher used convenience sampling for collecting data from employees of petroleum organizations. The response rate of the present study was 73%. For analysis, PLS-SEM tool was used by the researcher. Findings of the study revealed that all these HR factors, job security, job autonomy and promotional practices are sig nificant predictors of employee motivation and employee job satisfaction. Moreover, employee motivation mediates significantly among job security, job autonomy, promotional practices, and job satisfaction. The present study fills the gap of limited studies regarding the application of HR factors to enhance motivation and job satisfaction of the petroleum sector employee. Findings of current research are beneficial for the policymakers, petroleum sector and academicians of HR discipline. follows:
Brill-Noether problems, Ulrich bundles and the cohomology of moduli spaces of sheaves

In this paper, we survey some recent developments on computing the cohomology of the moduli spaces of sheaves on surfaces and the Brill-Noether problem. We explain several applications to classifying stable Chern characters on Hirzebruch surfaces, classifying globally generated vector bundles on minimal rational surfaces, and constructing and classifying Ulrich bundles on surfaces. This paper grew out of the talks of the authors at the ICM Satellite Conference on Moduli Spaces in Algebraic Geometry and Applications. 2000 AMS Subject Classification: Primary: 14D20, 14J60. Secondary: 14J26, 14F05, 13C14, 13H10.
Genome-wide investigation of CCCH zinc finger family in longan (Dimocarpus longan Lour): characteristic identification and expression profiles in longan somatic embryo

Background: CCCH Zinc finger ( Znf ) transcription factors ( TF ), as a novel type Znf genes, regulate genes expression by binding on their mRNA and play important roles in plant abiotic stress, growth and development. However, no overall genome-wide analysis or expression profiling of CCCH ( C3H ) gene family in Dimocarpous longan , especially during the early stages of somatic embryo in longan has been studied. Longan is a tropical/subtropical fruit tree of great economic importance in Southeast Asia,and longan embryogenesis is the main factor affecting fruit quality and yield. Results: In this study, a comprehensive analysis of longan C3H （ DlC3H ）gene family was carried out. 49 DlC3H genes were identified from longan genome database,which divided into 3 clades. Besides, genes characteristics, phylogenetic tree, gene structure, motif composition were comprehensively analyzed. The analysis of alternative splicing events (AS) suggested that AS events of DlC3H genes were related to longan non-embryonic and embryonic callus transformation. Promoter analysis indicted that most of DlC3H genes included cis -elements associated with hormones and stress response. Quantitative real-time PCR analysis indicated that 26 DlC3Hs ,which possess MeJA and ABA responsive cis -elements, showed different expression patterns and may involved into ABA and MeJA signaling pathway. The expression profiles of 17 DlC3Hs were performed in four stages of longan, the results showed that only DlC3H01/07/14/16/38 was consistent with the data in the transcriptome. DlC3H 07/14/16/36/49 were highly expressed in EC and only DlC3H 04/38 was in GE , suggesting that they have different functions in embryonic development. Finally, sRNAs were verified involved into regulating 6 DlC3Hs . Conclusion: This study provides the first systematic analysis of CCCH protein in longan somatic embryo. Particularly, CCCH genes may be involved in hormone and stress respond, and somatic embryogenesis. Our results presented here may provide a insight into the characteristics and functions of this family in somatic embryogenesis.
Hospital efficiency in the eastern mediterranean region: A systematic review and meta-analysis

Background Recent rising costs and shortages of healthcare resources make it necessary to address the issue of hospital efficiency. Increasing the efficiency of hospitals can result in the better and more sustainable achievement of their organizational goals. Objective The purpose of this research is to examine hospital efficiency in the Eastern Mediterranean Region (EMR) using data envelopment analysis (DEA). Methods This study is a systematic review and meta-analysis of all articles published on hospital efficiency in Eastern Mediterranean countries between January 1999 and September 2020, identified by searching PubMed through MEDLINE, Web of Science, Scopus, Science Direct, and Google Scholar. The reference lists of these articles were checked for additional relevant studies. Finally, 37 articles were selected, and data were analyzed through Comprehensive Meta-Analysis Software (v.2.2.064). Results Using the random-effects model, the mean hospital efficiency in Eastern Mediterranean hospitals was 0.882 ± 0.01 at 95% CI. Technical efficiency (TE) was higher in some countries such as Iraq (0.976 ± 0.035), Oman (0.926 ± 0.032), and Iran (0.921 ±0.012). A significant statistical correlation was observed between the hospital efficiency and the year of publication and sample size (p < 0.05). Conclusion Efficiency plays a significant role in hospital growth and development. Therefore, it is important for healthcare managers and policymakers in the EMR to identify the causes of inefficiency, improve TE, and develop cost-effective strategies.
Superconductivity of Ta34Nb33Hf8Zr14Ti11 high entropy alloy from first principles calculations

The Korringa–Kohn–Rostoker method with the coherent potental approximation (KKR‐CPA) is applied to study the first superconducting high entropy alloy (HEA) Ta34Nb33Hf8Zr14Ti11 (discovered in 2014 with Tc = 7.3 K), focusing on estimations of the electron–phonon coupling constant λ. The electronic part of λ has been calculated using the rigid muffin‐tin approximation (RMTA), while the phonon part has been approximated using average atomic mass and experimental Debye temperature. The estimated λ = 1.16 is close to the value determined from specific heat measurements, λ = 0.98, and suggests rather strong electron–phonon coupling in this material. (© 2016 WILEY‐VCH Verlag GmbH &Co. KGaA, Weinheim)
Interrelationships Among Grain Yield and Related Traits of Candidate Restorer Lines of Brassica Napus L.

Forty-three candidate restorer lines of Brassica napus were evaluated for 11 agronomic traits for genetic variability and interrelationships among yield traits to find out yield contributing traits. A wide range of variability and character association was observed among the lines. The line BNR-017 took the lowest time for first (26.67 days) and 100% flowering (41.00 days) whereas BNR-031 (74.33 days) and BNR-034 (74.00 days) matured earlier. The lines BNR-022 (1.07m) and BNR-026 (1.02m) were found with the shortest plant stature and all other lines were in average plant height of around 1.35m. The lines BNR-039, BNR-011, BNR-001, BNR-013 and BNR-014 were found the best performer for number of pods per plant, seeds per pod and seed yield per plant. Estimates of genotypic and phenotypic coefficient of variation were high (≥30%) for seed yield per plant (30.52 and 33.13, respectively). High broad sense heritability was recorded for 1000-seed weight (97.69%), days to ripening (97.12%), days to first flowering (96.80%), days to 100% flowering (95.50%) and pod length (92.74%). Significant and negative correlation was observed between seed yield per plant and number of seeds per pod, -0.217* and -0.192*, respectively both at genotypic and phenotypic level, while the highest positive and significant genotypic (0.786**) and phenotypic (0.795**) correlation were found with pod length. Path co-efficient analysis showed the highest positive and direct phenotypic effect of number of seeds per pod (1.221) on seed yield per plant while days to first flowering had the maximum negative direct effect (-0.039). The results of genotypic and phenotypic coefficient of variation, heritability and genetic advance in percent of mean, correlation co-efficient and path coefficient revealed that pods per plant, pod length, seeds per pod and 1000-seed weight could be used as selection criteria to increase seed yield in rapeseed.
Identification of additive and epistatic effects QTLs for seed oil content in soybean based on an integrating map of two RIL populations

Background Soybean seed oil has been widely used in human consumption and industrial production. Results In order to identify the additive and epistatic effects QTLs and QTLs by environments interactions (AE and AAE) for seed oil content in soybean, an eight-environment conjoint analysis based on two populations RIL3613 and RIL6013 with an integrating map was conducted. An new high-density integrated genetic map containing 2212 SNP markers and covering 5718.01 cM with an average distance of 2.61 cM were constructed by the combination of two linkage maps of two associated recombinant inbred line (A-RIL) populations. A total of 64 additive effect and additive × environment interaction (AE) QTL were identified on 19 chromosomes by both ICIM and IM methods, and the proportion of phenotypic variations explained (PVE) range of QTL related to oil content was 1.29–10.75%, of which 19 QTLs had overlapping marker intervals, and qOil-5-1 was identified simultaneously in both RIL populations. Compared with previous SSR positioning results, it is found 8 SNP sites within the QTL physical interval located in the SSR sites. Among them, 4 QTLs were new found. Twelve pairs of epistatic QTLs (additive × additive, AA) and QTL interactions with environments (AAE) for oil content were identified by the ICIM method, of which 3 QTLs were new found, and 2 additive effect QTLs, qOil-9-2 and qOil-15-1, linked to the other two QTLs to produce epistatic effects. A total of 5 potential candidate genes were identified based on genetic ontology and annotated information showing the relationship with seed oil content and/or fatty acid biosynthesis and metabolism. Conclusion These QTLs with different effects provide the good basis for molecular-assisted breeding of soybean oil content-related traits and further fine mapping of related genes.
Trade Openness and Economic Growth in Nepal

This study examines the impact of trade openness on economic growth in Nepal over the period 1975-2019. Using ARDL bounds testing approach to cointegration in the multivariate framework, the study results reveal that there exists a long-run relationship between Nepal’s foreign trade and economic growth over the study period. The long-run estimates of ARDL model show that the level of trade openness in Nepal predicts the rate of economic growth of the country positively and significantly in the long-run. The study also reports the positive and significant longrun effect of investment level on growth in Nepal over the study period supporting the tradeinduced investment growth hypothesis. It postulates that trade openness affects economic growth through the channel of investment. The growth enhancing role of trade openness implies that Nepal Government should promote international trade by eliminating trade barriers and making the procedures of foreign trade simple and convenient. Besides, Nepal’s import policy should promote investment environment particularly in capital intensive sectors to take the advantage of technology transfer from technologically advanced country. Furthermore, Nepal should pay proper attention and come up with effective human resource development policy that can uplift human knowledge and skills to make use of technologies from developed countries.
Aggressive Behavior: Comparative Study on Girls and Boys in The Middle School

Adolescents in carrying out social actions sometimes show behaviours that harm or hurt others such as insulting, teasing, bullying, fighting, and various other actions. This social act is called aggressive behaviour. Like as controlling themselves, especially their emotions, girls and boys have significant differences in their actions. Therefore, there may also be differences between girls and boys in engaging in aggressive behaviour. Therefore, this study aims to compare of the aggressive behaviour in middle school from the perspective of girls and boys. 200 middle school’s students in Kayu Agung, South Sumatera (100 girls and 100 boys) as research respondents in this comparative. The results of the T-test found that the value of sig. (two-tailed) = 0.000, which means less than 0.05. So that boy students who have a higher tendency to aggressiveness than girls with an average score of boy respondents are 79.73 and girls are 69,46.
Study of genetic variability and association on yield and yield components in Mungbean (Vignaradiata L.)

Thirty five genotypes of Mungbean were evaluated in RBD for estimation of genetic variability, heritability, genetic advance, correlation coefficient for yield and its component traits. The estimates of heritability in broad sense were found higher in seeds per pod, Seed yield per plot and branches per plant. The genotypes showed wide and highly significant variation for all the traits. The estimates of GCV and PCV for pods per plant, number of cluster per plant, plant height and seed yield per plot showed very little differences indicating the greater role of genetic factors in the expression of these traits and ample scope for improvement. High heritability along with high genetic advance as percent of mean was observed for seed yield per plot, days to maturity, plant stand and plant height preponderance of additive gene action. The characters, Seed yield per plant showed highly significant and positive correlation with cluster per plant and plant height.
A Hybrid Security System for Unmanned Aerial Vehicles

Autonomous unmanned aerial vehicles are one of the most important applications in modern technology. Otherwise known drones, these vehicles perform a lot of vital missions and sensitive tasks in scientific discoveries and agricultural and military applications. Drones that are in a network possess the freedom to roam in various directions. The security system of drones plays an important role in performing services. In this paper, a hybrid security system is proposed for drones to protect their data. This detection system is designed to protect autonomous drones from any attack. The proposed approach is implemented in a highway environment scenario. Our experimental results for the security system demonstrate that the proposed approach possesses an outstandingly accurate rate for intrusion detection.