Miracle-dz/UniFAR-FTUs huggingface dataset:
Robotic Colonoscopy Endotics with Colon Wash: Two Performing Technologies in a Winning Combination

BACKGROUND: Colonoscopy is the standard method for CCR prevention, diagnosis, and treatment, but it is painful and highly dependent on quality of bowel preparation. This study describes the experience of the first 150 colonoscopies performed using the Endotics System at S. Giuseppe Hospital in Milan (Italy), demonstrating the effectiveness, diagnostic quality, and lack of pain even without sedation. Moreover, at the patient's request, robotic system was combined with Colon Wash technology, able to prepare the bowel in a comfortable and effective way without use of purgatives. METHODS: The study is observational, retrospective, comparative, on a group of 150 patients, enrolled consecutively over a year. Quality of the intestinal preparation is evaluated and then reported based on BBPS for both patients who underwent Colon Wash and those who opted for the traditional preparation. In addition, the total percentage of cecal intubation and the average time needed to achieve it, in patients who have also undergone Colon Wash, are reported. RESULTS: 87 out of the 150 patients enrolled, (58%) chose intestinal preparation with Colon Wash technology. In this group, optimal preparation was obtained in 71.3% of cases. The percentage of optimal preparation among patients who chose the traditional method decreased 66.7%. Failure rates of procedure due to poor bowel preparation were 4.6% and 3.2% respectively. Cecum was achieved in 99.2% of cases with an average time of 22.5 minutes. In addition, in patients with a previous failed conventional colonoscopy, cecum was achieved in 92.3% of cases. 58 patients out of the 150 were eligible for the ADR calculation according to the ASGE guidelines, resulting in an overall ADR of 39.7% (ADR M of 60% and ADR F of 24.2%). CONCLUSIONS: Endotics system confirms its ability to perform painless procedures as effectively as conventional colonoscopy (and Journal Home: https://scienceworldpublishing.org/journals/world-journal-of-gastroenterology-hepatology-and-endoscopy/WJGHE World J Gastroenterol Hepatol Endosc Volume: 3.4 2/9 more effectively in difficult cases). Colon Wash technology allows intestinal preparation comparable to the standard one. The combination of these two technologies can increase acceptance of colonoscopy procedure and adherence to CCR screening programs.
Stability of the Northern coast of Egypt under the effect of urbanization and climate change

ABSTRACT The effect of the human activities on the coastal area are enormous. They include impacts on natural resources, coastal stability, environmental quality, and the cultural environment. The instability condition is the predominant feature of the Egyptian coastal zone due to natural and anthropogenic effect. This paper discusses the stability conditions of the sediment within the Egyptian Mediterranean coastal zone. It includes the sediment sources, degradation of resources, reasons and side effects, climate change effects, and recommendations to control the degradation. The research methodology depends on collecting and discussing the results of the previous related studies, collecting field data and observation along the Egyptian Mediterranean coastal zone as well as Satellite images within the last ten years. Sediment origin from territorial or sea resources, sediment transport, and interaction within the coastal zone are investigated to understand the sediment behavior and how to control erosion and siltation problems. The study shows that urbanization, coastal structures, removing sand dunes, controlling the floodwater and sediment, as well as climate change cause severe shoreline changes within the coastal zone. Dramatically erosion along the Northern coast of Egypt, and migration of the sand spit inland along the Rosetta Nile branch document these unbalance conditions. The study recommends that the coastal sand dune, as well as other nature resources of sediment, should be protected to eliminate the coastal erosion.
Comprehensive Assessment Indicator of Ecosystem Resilience in Central Asia

The ecosystems in the arid inland areas of Central Asia are fragile and severely degraded. Understanding and assessing ecosystem resilience is a challenge facing ecosystems. Based on the net primary productivity (NPP) data estimated by the CASA model, this study conducted a quantitative analysis of the ecosystem’s resilience and comprehensively reflected its resilience from multiple dimensions. Furthermore, a comprehensive resilience index was constructed. The result showed that plain oasis’s ecosystem resilience is the highest, followed by deserts and mountainous areas. From the perspective of vegetation types, the highest resilience is artificial vegetation and the lowest is forest. In warm deserts, the resilience is higher in shrubs and meadows and lower in grassland vegetation. High coverage and biomass are not the same as the strong adaptability of the ecosystem. Moderate and slightly inelastic areas mainly dominate the ecosystem resilience of the study area. The new method is easy to use. The evaluation result is reliable. It can quantitatively analyze the resilience latitude and recovery rate, a beneficial improvement to the current ecosystem resilience evaluation.
Data Fusion about Serviceability Reliability Prediction for the Long-Span Bridge Girder Based on MBDLM and Gaussian Copula Technique

This article presented a new data fusion approach for reasonably predicting dynamic serviceability reliability of the long-span bridge girder. Firstly, multivariate Bayesian dynamic linear model (MBDLM) considering dynamic correlation among the multiple variables is provided to predict dynamic extreme deflections; secondly, with the proposed MBDLM, the dynamic correlation coefficients between any two performance functions can be predicted; finally, based on MBDLM and Gaussian copula technique, a new data fusion method is given to predict the serviceability reliability of the long-span bridge girder, and the monitoring extreme deflection data from an actual bridge is provided to illustrated the feasibility and application of the proposed method.
Dorsal Hand Veins Based Biometric Identification System Using Deep Learning

Identification systems have become biometric-based, especially with the increase in the performance rates of machine learning methods. Biometric identification systems offer a high level of security by using reliable, difficult-to-change parameters. In this thesis, a biometric identification system is proposed using dorsal hand vein patterns. The relevant system has been tested on the sample dataset in the literature. The number of data were increased by adding noisy data to the data set used. The classification was made on the preprocessed images using SVM, ANN, LDA + KNN, and CNN methods. It has been determined that the highest identification accuracy is achieved when CNN is used, and CNN method provides higher performance compared to other methods. With the proposed identification system, after multiple runs, an average accuracy of 99.64% is achieved with the CNN machine learning method.
Homesick or Sick-of-Home? Examining the Effects of Self-Disclosure on Students’ Reverse Culture Shock after Studying Abroad: A Mixed-Method Study

ABSTRACT This mixed-method study investigates the effects of self-disclosure and reverse culture shock among students returning from studying abroad. While previous literature examined the socio-cultural factors of re-entry, this study explores the role of communication in this readaptation process using a sample of 285 international college students returning home from different countries. Quantitative data showed that some of the dimensions of self-disclosure were significant predictors of reverse culture shock and difficulty during the four phases of re-entry. Qualitative findings revealed reasons for self-disclosure, as well as cultural and interpersonal challenges of sharing one’s experience when returning home. Implications and future directions are discussed to facilitate students’ re-entry through communicative practices like self-disclosure.
A Dual Active Bridge Converter With Multiphase Boost Interfaces for Single-Stage Bidirectional DC–AC Conversion

A novel bidirectional dual active bridge based dc–ac converter is proposed in this article. The converter has multiphase boost interfaces at both the dc and ac ports. The interleaved operation of the multiphase units cancels the ripple currents and eliminates the input filter requirement. The dc to ac conversion is carried out in a single stage using only eight switches. The converter utilizes the low-frequency and high-frequency components in the inverter output to achieve both power conversion and power transfer across the high-frequency transformer simultaneously. A thorough analysis of the converter is carried out for the proper design of the components. Based on the results, a detailed design method is discussed. A multiresonant controller based phase-shift control is suggested to eliminate the low-frequency ripple in the input dc current. Finally, the effectiveness of the proposed converter is validated using results obtained from a 3-kW hardware prototype.
What is unique about high performing students? Exploring personality, motivation and competitiveness

Abstract The novel variable of competitiveness is explored to determine whether it has a role in differentiating high performing students from others. While the Big Five personality traits and motivation have been well-researched in relation to academic performance, the concept of competitiveness has yet to receive such attention. The competitiveness of business students (n = 226) was investigated in tandem with personality traits and motivation. Four academic performance tiers emerged from the analysis. These results unambiguously reveal that the Tier one cohort, which was comprised of a homogenous subset – i.e. the students attaining a high distinction grade – was statistically unique. The distinct point of differentiation is that these students were competitive as well as conscientious and intrinsically motivated. The implications of this finding open opportunities for future research, and potentially for learning and teaching strategies that acknowledge competitiveness in student learning.
Self-assessed hearing handicap in the elderly: a pilot study on Iranian population

Background and Aim: Presbycusis is a prevalent chronic condition in the elderly which may have potential adverse effects on social and emotional aspects of their life. There is no one to one relationship between audiogram and the perceived handicap in elderly. A good way to measure hearing handicap are self-assessment tools. This study was aimed to translate, adapt and establish face validity of Short form of Hearing Handicap Inventory for the Elderly (HHIE-S) and the correlation with pure-tone and speech audiometry results as well as score of the other self-assessmnet tool (Self-Assessment of Communication: SAC) in the Iranian elderly. Methods: HHIE-S was translated into Persian and face validity was established. It was administered in 80 elderly participants. Correlation of their scores with their pure tone averages of 3 and 4 frequencies (PTA0.5-1-2 and PTA0.5-1-2-4), word recognition score (WRS) in quiet, and SAC scores was determined. Results: The experts mean scores to PHHIE-S was 99.63%. There were significant correlations between PHHIE-S with SAC (r = 0.89; p < 0.001), PTA0.5-1-2 (r = 0.4; p < 0.001), PTA0.5-1-2- 4 (r = 0.6; p <0.001) and WRS (r = -0.4; p < 0.001). There was no significant gender effect on any of the measures (p > 0.05). Conclusion: Simply evaluation of the hearing levels is not adequate in elderly. Self-assessment tools can shed light on the specific disability induced by hearing loss. PHHIE-S appears to be an easy and fast tool that may helpful to distinguish patients who might need rehabilitative services. Keywords: Elderly; presbycusis; selfassessment; handicap
Research Progress of Virtual Reality Modeling Based on Three-Dimensional Reconstruction Technology

The limitations of virtual reality (VR) modeling and construction is one of the key issues in the recent research. An accurate model constructed based on real-world scenes is time and resource consuming. The three-dimensional (3D) reconstruction technology can efficiently construct models based on real-world objects, which is ideal for high-speed VR modeling system. This paper introduces the modeling examples based on 3D reconstruction in VR devices, compares the advantages/disadvantages between various reconstruction methods and comprehensively introduces the combination of the different methods. The summary and future development trend is also discussed at the end.
Spectrophotometric determination of metformin hydrochloride via oxidative coupling reaction with 1-naphthol in pharmaceutical and environmental water sample

A simple, rapid, accurate and sensitive spectrophotometric method for determination of metformin hydrochloride has been developed. The proposed method is based on the oxidation of 1-naphthol by sodium hypochlorite and coupling with metformin hydrochloride in the presence of sodium hydroxide to form an intense blue soluble product with maximum absorption at 580 nm. Beers law is obeyed over the concentration range of 2-20μg/ml, with molar absorptivity of 3.66x10 l/mol.cm. The present method is considered to be simple because it does not need either heating or hydrolysis or solvent extraction steps. The ingredients often formulated with metformin hydrochloride have been shown not to interfere, and the proposed method is suitable for the routine determination of metformin hydrochloride. The method has been successfully applied for the determination of metformin hydrochloride in pure form, pharmaceutical preparations(Tablets) and environmental water sample .
Mutual relationship between upper extremity function and core muscle endurance in patients with multiple sclerosis

Objective: This study aimed to determine the relationship between upper extremity function and core muscle endurance in patients with multiple sclerosis (PwMS). Methods: Twenty-two PwMS and 20 healthy controls (HC) were included in this retrospective cross-sectional study. The upper extremity function was assessed by the Nine Hole Peg Test (NHPT). In addition, the core muscle endurance was assessed by the side bridge test, trunk flexor endurance test, trunk extensor test, and prone bridge test. Results: Upper extremity function and core muscle endurance (except extensor endurance) in PwMS were lower compared to HC (p<0.05). In addition, the results of correlation analyses in PwMS showed that both sides’ upper extremity functions were related to EDSS, and trunk flexor endurance (p<0.05). Moreover, the right-upper extremity function was related to the right side bridge endurance test performance while the left-upper extremity function was related to left side bridge endurance test performance and disease duration (p<0.05). Conclusion: These results demonstrated the mutual relationship between upper extremity function and core muscle endurance in PwMS. Therefore, the core stabilization training may improve both the core muscle endurance and upper extremity function in PwMS.
Analysis of the Risk Factors for Sexual Dysfunction in Stoma Patients

Objective: to analyze the risk factors for sexual dysfunction in stoma patients.Methods: The study was an analytical descriptive design with a cross-sectional approach. Thirty-sevenwere respondents selected by consecutive sampling. Data were collected using demographic, ASEX scalequestionnaires, and questionnaire of risk factors for sexual dysfunction, and Analyzed using chi-square andlogistic regression.Results: The results show that there were correlations among fear to performance (p=0.00;RR=14.66),inadequate counseling (p=0.00;RR=33.33), alcohol consumption (p=0.01;RR=10.12), and biological causes(p=0.00;RR=27.14) with prevalence of sexual dysfunction in stoma patients. The results also show thatthere was not significant correlation among psychosexual trauma (p=0.56;RR=0.37) and socio-culturalfactors (p=0.12;RR=4.26). The factors which was most significantly correlated with the prevalence ofsexual dysfunction in stoma patients were inadequate counseling (p=0.03;OR=20.84 95% CI=1.25-347.47),alcohol consumption (p=0.04;OR=14.66 95% CI=1.05-204.30), and biological factors (p=0.04;OR=19.4595% CI=1.09-346.98). Conclusion: The sexual dysfunction in stoma patients is possibly influenced by a variety of factors, theselection of the right intervention plays a very important role to minimize the risks for sexual dysfunction instoma patients so that the nursing care quality will be improved to be better.
Classification of rice leaf diseases using artificial neural network

Rice is one of the important food crops for humans. The yield of this crop is affected by several factors, one of them is climate change. The irregularities of climate can cause the crops were infected by various diseases. By knowing the diseases through its unusual characteristics, fast remedial actions could be expected. The purpose of this essay is to find the best artificial neural network (ANN) architecture in classifying brown spot and leaf smut diseases on rice crops, two common types of diseases attack rice plant, based on the leaf images. Two features of rice leaf images i.e. shape and color were extracted to classify both diseases. The result of this research demonstrated the best ANN architecture to classify the diseases is the architecture with 4 neurons in the input layer, 5 neurons in one single hidden layer, and one neuron in the output layer. This architecture has accuracy as much as 66.3 percent.
Fluorescence Correlation Spectroscopy: Theory and Application to Langmuir Monolayers

ii Abstract (in Finnish) . iii Preface . iv
X-ray diffraction method for the determination of solid-solution compositions of rare-earth scandium borates belonging to the huntite family

Solid solutions of rare-earth scandium borates LnSc 3 (BO 3 ) 4 , (Ln,Ln')Sc 3 (BO 3 ) 4 , and (Ln,Ln')(Ln',Sc)3(B03)4 (Ln and Ln' are rare-earth metals) belonging to the huntite family were studied by X-ray diffraction (powderand single-crystal X-ray diffraction study). Plots of the parameters of the huntite-type subcell (space group R32) vs. the Ln radius or the weighted-average (Ln,Ln') radii, [(Ln,Ln')(Ln',Sc) 3 ]/4, were calculated for solid-solution crystals or melts. Based on these dependences, huntite-like compounds and their solid solutions were divided into hexagonal and monoclinic structures according to their symmetry, and the compositions of solid solutions were evaluated taking into account the distribution of cations between the structural positions. The ternary phase diagram for the CeSc 3 (BO 3 ) 4 -NdSc 3 (BO 3 ) 4 -GdSc 3 (BO 3 ) 4 system was constructed, and the crystallization regions of huntite-like phases with different symmetry were revealed.
Improved Mask Wearing Detection Algorithm for SSD

Coronavirus disease is seriously affecting the world in 2019. Wearing a mask in public places is a major way to protect people. However, there are few studies on mask detection based on image analysis. In this paper, an improved mask wearing inspection algorithm based on the SSD algorithm is proposed. The SSD algorithm is improved to add a face mask wearing detection task. Based on the original SSD model, the algorithm improves the mask wearing detection capability by introducing inverse convolution and feature fusion in combination with an attention mechanism to filter out the information to be retained. A dataset containing 3656 tensor images was created and manually labeled for network training. Experiments on this dataset show that the algorithm has good accuracy for mask wearing inspection.
Science versus the Unconscious Bias Paradigm in Education: A Review Essay

ABSTRACT Popular ideas often spread like wildfire among higher education curricula within teacher preparation programs, which leads to the hasty promotion of constructs that are both bereft of empirical support and singularly responsible for profoundly negative consequences in schools. The concept of ‘Unconscious Racial Bias’ is a notable example of this destructive trend in the teacher education literature. This essay reviews a recent book on Unconscious Racial Bias entitled ‘Unconscious Bias in Schools: A Developmental Approach to Exploring Race and Racism’ by Tracey A. Benson and Sarah E. Fiarman. The book purports to provide teacher preservice and inservice trainers with a blueprint for conducting unconscious bias training for (primarily white) teachers in schools that have significant racial minority populations. The philosophical roots of Unconscious Race Bias (URB) theory is discussed, followed by a discussion of a parallel movement in the social psychological literature on the Implicit Bias Test (IAT). IAT research is shown to suffer from serious psychometric problems, which in turn casts serious doubt on the validity of Unconscious Bias theory as an explanation for academic problems experienced by minority students in schools (that are presumably caused by unconscious bias in White teachers). The essay ends with suggestions for better resources that pre- and inservice teachers can consult for addressing educational problems of racial/ethnic minority students in schools.
Hybrid and Non-Hybrid Block-Based Programming Languages in an Introductory College Computer-Science Course

Block-based programming languages (BBLs) have been proposed as a way to prepare students for learning to program in more sophisticated, text-based languages, such as Java. Hybrid BBLs add the ability to view and edit the block commands in auto-generated, text-based code. We compared the use of a non-hybrid BBL (Scratch), a hybrid BBL (Pencil Code), and no BBL across three sections of an introductory CS course that taught Java programming, to determine whether either type of BBL offered cognitive or affective advantages for learning Java. Students in the BBL groups were surveyed about their perceptions of each BBL in terms of ease of use and helpfulness in learning Java, and all three groups were compared on their performance in Java programming. The results showed that, in this introductory CS course, neither type of BBL offered an advantage in preparing students for learning Java. These results held regardless of the students’ level of Java knowledge prior to the course.
METASURFACE SUPERSTRATE INSPIRED PRINTED MONOPOLE ANTENNA FOR RF ENERGY HARVESTING APPLICATION

In this paper, a metasurface superstrate-inspired broadband circularly polarized (CP) printed monopole antenna is investigated. To achieve broadband circular polarization and directional radiation pattern, a circle-shaped monopole radiator with asymmetrical staircased partial ground loaded with metasurface is introduced. It is fed by a 50-Ω microstrip feedline and is fabricated on an FR4 substrate, having overall dimension of 1. 25λ0 × 1. 66λ0 × 0. 02λ0 at f = 5 GHz. The metasurface antenna exhibits a measured impedance bandwidth of 5GHz (1.85–6.85 GHz, 114.9%), axial bandwidth of 910 MHz (4.09–5 GHz, 20.02%) with average CP antenna gain of 6.82 dBic, directional radiation pattern and consistent antenna efficiency of > 85.65% in the desired frequency bands. Time domain characteristics, i.e., group delay is obtained within 2 ns in the operating frequency bands. Due to its design process and attainment of broadband CP, higher antenna gain, and directional radiation pattern in the broadside direction, it is extended for RF energy harvesting. The proposed metasurface antenna is integrated with a rectifier circuit, where RF-to-DC conversion efficiency (η0) and DC output voltage (Vout) are analyzed by using ADS circuit solver.