Navigation control of an automated mobile robot robot using neural network technique

Over recent years, automated mobile robots play a crucial role in various navigation operations. For any mobile device, the capacity to explore in its surroundings is essential. Evading hazardous circumstances, for example, crashes and risky conditions (temperature, radiation, presentation to climate, and so on.) comes in the first place, yet in the event that the robot has a reason that identifies with particular places in its surroundings, it must discover those spots. There is an increment in examination here due to the requisition of mobile robots in a solving issues like investigating natural landscape and assets, transportation tasks, surveillance, or cleaning. We require great moving competencies and a well exactness for moving in a specified track in these requisitions. Notwithstanding, control of these navigation bots get to be exceptionally troublesome because of the exceedingly unsystematic and dynamic aspects of the surrounding world. The intelligent reply to this issue is the provision of sensors to study the earth. As neural networks (NNs) are described by adaptability and a fitness for managing non-linear problems, they are conceived to be useful when utilized on navigation robots. In this exploration our computerized reasoning framework is focused around neural network model for control of an Automated motion robot in eccentric and unsystematic nature. Hence the back propagation algorithm has been utilized for controlling the direction of the mobile robot when it experiences by an obstacle in the left, right and front directions. The recreation of the robot under different deterrent conditions is carried out utilizing Arduino which utilizes C programs for usage

Panoramic-Based Mandibular Indices and Bone Mineral Density of Femoral Neck and Lumbar Vertebrae in Women

Objective: The aim of this cross-sectional analytic study was to evaluate the diagnostic efficacy of panoramic-based indices of the mandible (Mental Index-MI, Mandibular Cortical Index-MCI and Panoramic Mandibular Index-PMI) and to determine their correlationwith bone mineral density (BMD) of the femoral neck and lumbar vertebrae (L2-L4) in order to assess the possibility of using these parameters as indicators of osteoporosis.Materials and Methods: The mandibular indices of 67 women over 35 years old were measured from panoramic radiographs, and bone densitometry was performed in the femoral neck and lumbar vertebrae (L2-L4), using DXA (Dual Energy X-ray Absorptiometry)technique. The patients were divided into three categories of normal, osteopenic andosteoporotic in each skeletal region. One-way ANOVA and ROC curve analyses were applied.The results were considered statistically significant when the P-value was less than 0.05.Results: Comparing the mean BMD in the femoral neck in women between C1 and C3 subgroups of MCI, a significant difference was detected (P=0.04). The mean PMI in the three skeletal subgroups was not different according to the skeletal region (P>0.05). We found a significant difference in mean MI between normal and osteopenic subgroups in the femoral neck (P=0.042).Conclusion: Using radiomorphometric indices of the mandible (MCI-MI) may be useful in determining the skeletal status of the patients, but is not sufficient for precise evaluation

Evaluating novice and experienced EFL teachers' perceived TPACK for their professional development

Technological Pedagogical Content Knowledge (TPACK) is a framework which provides a number of opportunities for conducting research in teacher edu- cation, teacher professional development, and teacher’s use of technology. By applying TPACK framework, this mixed methods study aimed to examine novice and experienced EFL teachers’ differences in their perceived TPACK and its influences on their professional development. To this end, for the quantitative phase, a sample of 427 EFL teachers, both male and female with different teaching experiences were selected from various English language institutes in Tehran. In the qualitative phase, 16 EFL teachers were selected for a structured interview. The quantitative results indicated that experienced teachers were of significantly higher scores in terms of pedagogical knowledge and pedagogical content knowledge subscales. In contrast, novice teachers were of significantly higher scores considering their technological knowledge, technological content knowledge, technological pedago- gical knowledge, and TPACK. The qualitative results demonstrated that novice and experienced EFL teachers favored different professional development programs tailored to their needs. Likewise, they claimed that they could bridge the gap in their knowledge through collaboration in professional development courses

Peer-Assessment and Student-Driven Negotiation of Meaning: Two Ingredients for Creating Social Presence in Online EFL Social Contexts

With the current availability of state-of-the-art technology, particularly the Internet, people have expanded their channels of communication. This has similarly led to many people utilizing technology to learn second/foreign languages. Nevertheless, many current computer-assisted language learning (CALL) programs still appear to be lacking in interactivity and what is termed social presence, which is in turn an obstacle to the learners assuming active roles in their online experience of L2 learning. Consequently, the existing CALL programs do not seem to have updated themselves from the obsolete behavioristic and communicative genres to reach for the integrative one to yield optimum interactivity. The present study has attempted to cast light on the prospect of creating an online learning community that could optimize the patterns of interaction among the students and the teacher with the intention of creating online social presence. Using a qualitative research based on grounded theory, the researchers attempted to collect and analyze the data vis-à-vis the participants’ feedback on the research questions that were cyclically obtained from 42 English students of the first researcher’s weblog through 41 semi-structured interviews at the end of each virtual class on Skype and Discord over one year. The results suggested that content-based instruction (CBI) in which the students can opt for and create the content of the course through engaging in asynchronous activities and performing peer-assessment in the comment forms and discussion boards before practicing negotiation of meaning in each synchronous class could maximize the level of student-student interactivity and social presence among the L2 learners

Assessment of body mass index and hand anthropometric measurements as independent risk factors for carpal tunnel syndrome

The goal of this study was to clarify the role of body mass index (BMI) (weight divided by square of height; kg/m2) and hand anthropometric measurements as independent risk determinants in the development of carpal tunnel syndrome (CTS) and their relationship to the severity of CTS. A total of 131 patients with clinical symptoms of CTS and 131 normal subjects were enrolled, of whom 121 were female both in the CTS cases and the controls. All cases were electrodiagnostically confirmed and assigned to three severity groups. BMI, wrist ratio, shape index, digit index and hand length/height ratio were measured in all participants. Mean values for each item were compared between cases and controls and severity subgroups. A logistic regression analysis was performed to determine independent CTS risk factors. The mean values of BMI, wrist ratio and shape index were significantly higher in all CTS patients and females compared to controls, whereas in males only BMI and wrist ratio were higher. The patients in the mild severity subgroup had a significantly lower age and wrist ratio. BMI, wrist ratio and shape index were found to be independent risk factors of CTS development in all patients and females. Our study showed BMI, wrist ratio and shape index as independent risk factors for CTS. These findings are of potential anatomical and clinical importance and outline the risk factors of anatomical malfunction of the wrist in CTS. (Folia Morphol 2008; 67: 36-42

Clinical outcomes in management of unstable distal radius fractures treated with external fixation and internal fixation: a prospective comparative study

Background: Management of Distal Radius fracture that are inherently unstable is still a matter of debate. There is no conclusive evidence that support one surgical fixation method over another. An attempt was made to analyze patients treated with Ex-Fix and Internal-Fixation for unstable distal radius fractures and evaluate the clinical efficacy of Ex-fix using principles of ligamentotaxis and Internal-fixation and compare functional recovery, fracture healing time and complications.Methods: A prospective trial was undertaken at our hospital with 35 patients,all aged >20 yrs with closed distal radius fracture and divided into two groups: group I (Ex-fix with or without percutaneous k-wire, and JESS) and group II (Int-Fixation) including 14 and 21 patients, respectively. Periodic clinical examination and x-ray review was carried out to find out fracture union, and functional assessment. Patients were followed up for 1 year, 6 months average.Results: Group I consumed significant less operative time, fluoroscopic exposure, reduced hospital stay, quicker post-operative pain relief. Quick DASH score were significantly high in elderly treated with Ex-Fix in comparison to young in which DASH score was higher with internal-fixator. Functional recovery was early with int-fixation but post-operative wrist stiffness was also higher. 2 cases of delayed wound healing &1 case of pin tract infection with ex-fix application was observed. Conclusions: Internal-fixation remains the treatment of choice for unstable distal radius fracture involving the articular surface and in the young, while ext-fixation can be considered as a primary treatment modality in the extra-articular fractures in young or even intra-articular fractures in the elderly

Development of a machine learning model for early prediction of plasma leakage in suspected dengue patients

Background At least a third of dengue patients develop plasma leakage with increased risk of life-threat-ening complications. Predicting plasma leakage using laboratory parameters obtained in early infection as means of triaging patients for hospital admission is important for resource-limited settings. Methods A Sri Lankan cohort including 4,768 instances of clinical data from N = 877 patients (60.3% patients with confirmed dengue infection) recorded in the first 96 hours of fever was consid-ered. After excluding incomplete instances, the dataset was randomly split into a development and a test set with 374 (70%) and 172 (30%) patients, respectively. From the development set, five most informative features were selected using the minimum description length (MDL) algorithm. Random forest and light gradient boosting machine (LightGBM) were used to develop a classification model using the development set based on nested cross validation. An ensemble of the learners via average stacking was used as the final model to predict plasma leakage. Results Lymphocyte count, haemoglobin, haematocrit, age, and aspartate aminotransferase were the most informative features to predict plasma leakage. The final model achieved the area under the receiver operating characteristics curve, AUC = 0.80 with positive predictive value, PPV = 76.9%, negative predictive value, NPV = 72.5%, specificity = 87.9%, and sensitivity = 54.8% on the test set. Conclusion The early predictors of plasma leakage identified in this study are similar to those identified in several prior studies that used non-machine learning based methods. However, our observations strengthen the evidence base for these predictors by showing their relevance even when individual data points, missing data and non-linear associations were consid-ered. Testing the model on different populations using these low-cost observations would identify further strengths and limitations of the presented model

Association of milk components with intra-mammary inflammation in Jaffrabadi buffaloes

Aim: To study the alteration of major milk components such as milk fat, protein, lactose, solid not fat (SNF) and total solids (TS) and their association with different degree of intra-mammary inflammation (IMI) in Jaffrabadi buffaloes. Materials and Methods: Milk samples (n=1516) were collected from Jaffrabadi buffaloes separately from each quarter. Milk samples were analyzed for milk fat, protein, lactose, SNF and TS percent on the same day using milk analyzer "LACTOSCAN." Milk samples were checked for IMI by California mastitis test (CMT), and the results were expressed as negative (0), +, ++, and +++ CMT score. The traits of milk components which showed significant difference (p<0.05) between samples from inflamed and non-inflamed quarters were analyzed by receiver operating characteristic (ROC) analysis to see the accuracy and degree of association with IMI. Results: Among several milk components, milk protein and lactose percent showed a significant difference (p<0.05) between milk samples from normal and inflamed quarters. Though, during the early stage of mammary gland inflammation milk protein percent remained significantly high (p<0.05), later with an increase in the degree of severity of inflammation it did not show any difference. Milk samples from normal udder quarters had significantly higher lactose percent than inflamed quarters (p<0.05). Milk lactose percent decreased gradually with an increase in the degree of severity of inflammation. ROC analysis revealed that milk samples having lactose content below the threshold values had significantly higher chances to come from inflamed udder quarters (p<0.05). Though, the value of the area under curve (AUC) indicated that milk lactose was significantly associated with IMI (p<0.05), the accuracy was moderate (AUC=0.71-0.75). Conclusions: The results of the present study indicated that milk lactose percent gradually and significantly reduced during IMI and can be used as a marker for identification of IMI in buffaloes. However, ROC analysis further confirmed that using milk lactose IMI can be identified with moderate accuracy

Sequencing and In Silico Multi-aspect Analysis of S1 Glycoprotein in 793/B Serotype of Infectious Bronchitis Virus Isolated From Iran in 2003 and 2011

Infectious bronchitis (IB) is an acute, highly contagious, and economically important viral disease of chickens. The S1 subunit from Spike (S) protein plays the major role in protective immunity and is involved in the host-virus interactions, as well as infectious bronchitis virus (IBV) serotyping. Aim of the present study was multi-aspect analysis of the molecular and immunological features of 5' part belonging to the S1 glycoprotein sequence of Iranian 793/B IBV strain isolates. This might ideally help in characterization, prevention, and vaccine development. The tissue samples were prepared, followed by virus isolation, reverse transcription polymerase chain reaction and restriction fragment length polymorphism analysis. In addition, sequencing and registration of the sequences in the National Center for Biotechnology Information were performed. Moreover, 12 sequences were retrieved from Fars province, Iran. The next steps included evaluation of conservation/variability along the sequences, phylogenetic analysis, estimation of the average evolutionary divergence over all the sequence pairs, predicting the phosphorylation/N-glycosylation/palmitoylation sites, and the final analysis of antigenicity. The findings of alignment, entropy plot, and pairwise similarity analysis revealed 17 hypervariable regions. The isolates belonging to Tehran were clustered in phylogenetic tree, and the most similar isolates to them were ADW11182 and ADW11183. Location of some of the N-glycosylation/phosphorylation/palmitoylation points indicated that these sites were conserved among the isolates. Furthermore, the frequency of epitopes and their scores reflect the high immunogenicity of S1 protein in 793/B serotype. Analysis of the primary and secondary structures demonstrated that their parameters had variable values and were different regarding the number and location of α-helix, β-strand, and coils. According to our findings, the Iranian isolates of 793/B serotype change their molecular characteristics during time and in different geographical regions. These alterations might account for failure in prevention programs and differences in virulence and pathogenicity

Directional atomic layer etching of MgO-doped lithium niobate using sequential exposures of H2_2 and SF6_6 plasma

Lithium niobate (LiNbO$_3$, LN) is a ferroelectric crystal of interest for integrated photonics owing to its large second-order optical nonlinearity and the ability to impart periodic poling via an external electric field. However, on-chip device performance based on thin-film lithium niobate (TFLN) is presently limited by optical loss arising from corrugations between poled regions and sidewall surface roughness. Atomic layer etching (ALE) could potentially smooth these features and thereby increase photonic performance, but no ALE process has been reported for LN. Here, we report a directional ALE process for $x$-cut MgO-doped LN using sequential exposures of H$_2$ and SF$_6$/Ar plasmas. We observe etch rates up to $1.01 \pm 0.05$ nm/cycle with a synergy of $94$%. We also demonstrate ALE can be achieved with SF$_6$/O$_2$ or Cl$_2$/BCl$_3$ plasma exposures in place of the SF$_6$/Ar plasma step with synergies above $90$%. When combined with a wet post-process to remove redeposited compounds, the process yields a 50% decrease in surface roughness. With additional optimization to reduce the quantity of redeposited compounds, these processes could be used to smoothen surfaces of TFLN waveguides etched by physical Ar$^+$ milling, thereby increasing the performance of TFLN nanophotonic devices or enabling new integrated photonic capabilities