Miracle-dz/UniFAR-FTUs huggingface dataset:
Localization of the Centers of Intramuscular Nerve Dense Regions of the Rotator Cuff Muscles: A Guide for Botulinum Toxin A Injection for Spasticity Accompanied by Shoulder Pain

To accurately localize the centers of intramuscular nerve dense regions (CINDRs) of rotator cuff muscles. Twenty adult cadavers were used. The curves on skin connecting the superior angle of scapula with the acromion, and with the inferior angle of scapula were designed as the horizontal (H) and longitudinal (L) reference lines, respectively. One side of the rotator cuff mu scles were removed and subjected to Sihler’s staining to show intramuscular nerve dense regions, and the contralateral muscles’ CINDRs wer e labeled with barium sulfate and scanned by computed tomography (to determine body surface projection points (P)). The intersect ion of the longitudinal line from point P to line H, and that of the horizontal line from point P to line L, were recorded as P H and P L , respectively. The projection of CINDRs on the anterior body surface across the saggital plane was defined as P' and the line connecting P to P' was recorded as Line PP'. Percentage positions of CINDRs of P H and P L on lines H and L, and the depths on line PP’ were determined under the Syngo system. Two, four, one, and one CINDRs were identified in supraspinatus, infraspinatus, teres minor, and subscapulari s muscles, respectively. The positions of P H of these CINDRs on the H-line are as follows: supraspinatus, 25.43 % and 26.59 %; infraspinatus, 53.85 %, 34.63 %, 35.96 % and 58.17 %; teres minor, 74.50 %; and subscapularis, 20.33 %. The P L on t L-line: supraspinatus, 11.09 % and 14.83 %; infraspinatus, 21.59 %, 27.93 %, 48.55 % and 57.52 %; teres minor, 68.28 %; and subscapularis, 52.82 %. The dept h on line PP': supraspinatus, 24.83 % and 25.40 %; infraspinatus, 21.55 %, 16.10 %, 10.01 % and 8.14 %; teres minor, 13.27 %; and su bscapularis, 22.88 %. The identification of these CINDRs should provide the optimal target position for injecting botulinum toxin A to treat rotator cuff muscles spasticity accompanied by shoulder pain and to improve the efficiency and efficacy of blocking target localization .
INVESTIGATION OF THE MECHANICAL PROPERTIES ON RED MUD FILLED POLYESTER BANANA COMPOSITES USING GREY RELATIONAL TECHNIQUE

Red mud is an industrial waste generated during the production of alumina by Bayer’s process. General purpose polyester resin is used as a matrix and banana fiber as reinforcement. This paper presents a new approach for the optimization of fabrication parameters on red mud filled banana fiber treated and untreated polyester composite with multiple response based on orthogonal array with grey relational analysis in order to save the initial experimental cost on number of specimen and experimental duration. In this study, fabrication parameters namely red mud percentage, fiber treatment, length of fiber, weight fraction of fiber are optimized with consideration of multi response such as impact strength, flexural strength, and tensile strength. A grey relational grade is obtained from the grey analysis. Based on the grey relational grade, optimum level of parameters has been identified and significant parameters are determined by analysis of variance (ANOVA). Experimental result has shown that the responses in the fabrication process can be improved effectively through the new approach.
Case presentations and recommendations from the 2018 ITMIG Annual Meeting

The 9th International Thymic Malignancy Interest Group’s (ITMIG) Annual Meeting was held in Seoul, South Korea in October 2018, and in this article, we discuss three of the cases presented and review the radiology imaging and pathology slides. The first two cases involve thymic carcinoma: the first reviews systemic therapy recommendations for non-resectable recurrence and the second case the optimal treatment recommendations after incomplete resection. The third case discusses treatment recommendations for recurrent thymoma after complete resection.
Activity of Zinc Oxide Based Spinels Catalytic

Comparative assessment of phase formation in the system ZnO-CeO2-Fe2O3-Cr2O3, obtained using a number of technological methods, is carried out. Spinel phase formation is established for all materials studied, except ZnO-CeO2. Synthesized materials are examined with X-ray phase analysis, low-temperature nitrogen adsorption, and scanning electron microscopy. It is shown that the synthesis in the presence of an organic precursor allows obtaining fine spinel samples. High catalytic activity of the synthesized materials, containing the spinel phase, is established in the process of methyl orange oxidative destruction in the presence of hydrogen peroxide. It is proved that with an increase in the number of chromium cations in the sample, the catalytic activity of the materials also increases. Zinc ferrite, despite the considerably more developed surface, and ZnO /CeO2 are not very effective in this process. The data obtained is useful for the development of materials for wastewater treatment at industrial enterprises, which use organic dyes in their production cycles.
Analysis of Galvanized Coatings Applied on General Purpose Wire

The paper deals with applying hot-dip galvanized coatings on general purpose wire. Galvanized wire properties were generalized and structured as a hierarchical tree of properties. A set of experiments was carried out to analyze potential operation modes of the line and the application of steel wire. The coating quality forecasting technique was developed to implement a production process, ensuring the required properties of galvanized wire.
Imitation of human motion for humanoid robot in lift and carry event

Abstract This study proposed a method to enable a humanoid robot to step up onto a stair by imitating the step-up motion of a human and to accomplish a lift and carry event in HuroCup of Federation of International RoboSports Association. The step-up motion, divided into five states, was captured by a Kinect sensor, and the human joints corresponded to the humanoid robot joints. Selected servomotors and their angle variation were matched with that of human joint numbers by a designed fuzzy inference system on the basis between the human and the humanoid robot joints. Then, the rest of the robot motors were adjusted by the zero moment point obtained from force-sensing registers to maintain stability. Next, two intermediate transition states were added between each state of the humanoid robot step-up to maintain its balance and reduce motor damage. Finally, to be applied in a real lift and carry event, a vision system was integrated to recognize the edge of a color board and determine a suitable site for the step-up. With these functions integrated, the robot under the proposed method was verified to successfully achieve the task of the lift and carry event without losing its balance or falling.
The average speed of motion and optimal power consumption in biped robots

Abstract One of the issues that have garnered little attention, but that is nevertheless important for developing practical robots, is optimal walking conditions like power consumption during walking. The main contribution of this research is to prepare a correct walking pattern for humans who have a problem with their walking and also study the effect of average motion speed on optimal power consumption. In this study, we firstly optimize the stability and minimize the power consumption of the robot during the single support phase using parameter optimization. Our approach is based on the well-known Zero Moment Point method to calculate the stability of the proposed biped robot. Secondly, we performed experiments on healthy male, age 29 years, to analyze human walking by placing 28 markers, attached to anatomical positions and two power plates for a distance of more than one gait cycle at an average speed of 1.23 ± 0.1 m s−1 validate our results for motion analysis of correct walking ability. Our model was continuously validated by comparing the results of our empirical evaluation against the prediction of our model. The errors between experimental test and our prediction were about 4%–11% for the joint trajectories and about 0.2%–0.5% for the ground reaction forces which is acceptable for our prediction. Due to the presented model and optimized issue and predicted path, the robot can move like a person in a way that has maximum stability along with the minimum power consumption. Finally, the robot was able to walk like a specific person that we considered. This study is a case study and also can be generalized to all samples and can perform these procedures to another person’s with different features.
A comprehensive survey on humanoid robot development

Abstract The development of a versatile, fully-capable humanoid robot as envisioned in science fiction books is one of the most challenging but interesting issues in the robotic field. Currently, existing humanoid robots are designed with different purposes and applications in mind. In humanoid robot development process, each robot is designed with various characteristics, abilities, and equipment, which influence the general structure, cost, and difficulty of development. Even though humanoid robot development is very popular, a few review papers are focusing on the design and development process of humanoid robots. Motivated by this, we present this review paper to show variations in the requirements, design, and development process and also propose a taxonomy of existing humanoid robots. It aims at demonstrating a general perspective of existing humanoid robots’ characteristics and applications. This paper includes state-of-the-art and successfully reported existing humanoid robot designs along with different robots used in various robot competitions.
University of Birmingham Effectiveness of pharmacological agents for the treatment of non-infectious scleritis

Background: Non-infectious scleritis is a potentially sight-threatening condition in which the sclera, the white outer layer of the eye, becomes inflamed. Whilst scleritis can be infective, the majority of cases are due to non-infectious causes, often occurring in association with an underlying systemic autoimmune or auto-inflammatory condition. Thorough systemic work-up is crucial to identify disease aetiology and exclude infection; however, a significant proportion of disease remains idiopathic with the underlying cause unknown. Non-infectious scleritis is normally managed with systemic corticosteroid and immunosuppression, yet there is no widely agreed consensus on the most appropriate therapy, and no national or international guidelines exist for treatment of non-infectious scleritis. Methods: Standard systematic review methodology will be used to identify, select and extract data from comparative studies of pharmacological interventions used to treat patients with non-infectious scleritis. Searches of bibliographic databases (Cochrane Library, MEDLINE, CINAHL and EMBASE) and clinical trial registers will be employed. No restrictions will be placed on language or date of publication. Non-English articles will be translated where necessary. The primary outcome of interest will be disease activity measured by reduction in scleritis grading according to standardised grading systems. Secondary outcomes will include change in best corrected visual acuity, reduction in concurrent dose of systemic corticosteroid, time to treatment failure, adverse events and health-related quality of life. Risk of bias assessment will be conducted appropriate to each study design. Study selection, data extraction and risk of bias assessment will be completed by two reviewers independently. Data will be presented in a table and a narrative synthesis will be undertaken. Meta-analysis will be performed where methodological and clinical homogeneity exists. Subgroup and sensitivity analysis will be undertaken if appropriate. Discussion: Many studies have investigated the effectiveness of pharmacological agents used in the management of non-infectious scleritis. A systematic review is needed to collate and analyse this evidence. Findings of this systematic review will help guide ophthalmologists managing patients with non-infectious scleritis and may form the basis for evidence-based recommendations for future clinical practice and encourage standardisation of treatment protocols. Systematic review registration: PROSPERO CRD42019125198
Weight Balancing Techniques in Cloud Computing

: Load Balancing is the standout amongst the most critical parts in circulated situations. As Cloud Computing is one of the best stage that gives stockpiling of information in exceptionally insignificant cost and open forever finished the web, stack adjusting for the distributed computing has transformed into an extremely fascinating and vital examination territory. Load adjusting backings to get a high client fulfillment and utilization of asset proportion by ensuring a capable and sensible allotment of each registering asset. There are various challenges in the heap adjusting strategies, for example, security, adaptation to internal failure and so on in distributed computing conditions. Numerous scientists have been proposed a few systems to improve the heap adjusting. This paper depicts a diagram on stack adjusting plans in cloud situations. We investigate the assorted sorts of calculations that is proposed by numerous scientists to take care of the issue of load adjusting in distributed computing.
911-927 Narang D.pmd

An in-house multiplex PCR designed for differential detection of M. bovis, M. avium paratuberculosis (MAP) and M. smegmatis in tissue samples, besides PCR and TaqMan real-time PCR targeting esxA (ESAT-6) and esxB (CFP-10) gene of M. tuberculosis complex (MTC) and IS900 gene targeting MAP were carried out in the present study. Tissue samples comprising of lung, mediastinal lymph node, intestine and mesenteric lymph node from cattle and buffaloes (n=16) suspected to have died of tuberculosis (TB) or paratuberculosis (JD) were collected at post-mortem. Out of 16 animals, only 4 (25%) cases were positive for M. bovis by in-house designed multiplex PCR, where as 9 (56.25%) cases were positive for MTC by both conventional and real-time PCR targeting esxA (ESAT-6) and esxB (CFP-10) genes. Out of 9 TB positive animals, 2 (22.22%) had co-infection with MAP as confirmed by IS900 PCR, real-time PCR and also by in-house multiplex PCR. No samples were found positive for M. smegmatis by the in-house multiplex PCR. Analytical sensitivity of in-house multiplex primers targeting M. bovis, MAP and M. smegmatis were 170 fg/μl, 300 fg/μl and 51 fg/μl of genomic DNA respectively. Analytical sensitivity of primers for both conventional and real time PCR tareting esxA were 8 pg/μl and 800 fg/μl, esxB were 800 fg/μl and 80 fg/μl and IS900 were 30 fg/μl and 3 fg/μl of M. tuberculosis and MAP genomic DNA respectively. The tissue samples were also subjected to histopathology and Immunohistochemical (IHC) staining using ESAT-6 and CFP-10 antibodies for TB and anti-JD anti-serum (raised in rabbit) for JD. All the animals positive for TB (9 of 9) and JD (2 of 2) in PCR and real-time PCR were also positive in histopathology and IHC. Thus, combination of molecular, histopathology and IHC techniques increased the accuracy of TB and JD diagnosis, all of which had same sensitivity and specificity except the in-house multiplex PCR which was comparatively less sensitive in M. bovis detection. However, the molecular methods were found to be more convenient and rapid, capable of making the diagnosis within 6 hours. The study indicated that Real-time PCR was ten times more sensitive than the conventional PCR.
THE DEVELOPMENT OF A CHATTERBOT FOR ENVIRONMENTAL EDUCATION

With the accelerated growth of cities around the world, the need of learning about our environment becomes inevitable. In the face of such a situation, it would be of great importance to implement an educational software, easy to use and understand, so that children and adolescents could acquire an awareness in a practical and objective way. On this basis, the present research is aimed the development of a computational tool – a Chatterbot, with an educative and informative potential that has information related to Environmental Education as knowledge base
TeamGL at ACRV Robotic Vision Challenge 1: Probabilistic Object Detection via Staged Non-Suppression Ensembling

This paper describes a novel approach to probabilistic object detection using ensemble techniques. The approach synthesises results from multiple non-probablistic object detectors to acquire ﬁnal detections. We achieve this by a two-staged ensembling pipeline: (i) identifying detections that are of the same object based on the Intersection over Union (IoU) and labels utilising a greedy assignment process; (ii) creating an ensemble of the detections using a non-suppression algorithm. We employ ﬁxed proportional and label conﬁdence based covariances to capture the spatial uncertainty with particular calibrations on edging objects , a special yet common class of detections. The proposed approach achieved 3 rd place in the leaderboard of CVPR-2019 ACRV Robotic Vision Challenge on Probablis-tic Object Detection.
Importance of Palliative Care in Pediatric Oncology Or IgINal

To analyze the testimonies of clinical nurses about the importance of the practice of palliative care in Pediatric Oncology, in the light of the Humanistic Nursing Theory. This is a qualitative research conducted with ten nurses from a pediatric unit of a public hospital in the city of Joao Pessoa – PB, through a semi-structured interview, using
An Enhanced Password-Username Authentication System Using Cryptographic Hashing and Recognition Based Graphical Password

: Password-username authentication is a critical component of today’s web application technology that is commonly used to control access to restricted resources. However, poor design, coding flaws and weak user login credentials exposes this functionality to Sequel Query Language Injection (SQLI) and online password guessing attacks. Current techniques advanced by researchers to address authentication attacks only focus on either one of them, thus failing to envisage a scenario where the login form can be used to launch both SQLI and online password guessing attacks. To address this challenge, this paper presents an authentication solution that addresses the issue of SQLI and online password guessing attacks on login form as implemented in generic web applications. The solution combines the use of plain text credentials that are cryptographically hashed at runtime with recognition based graphical login credentials. The goal is to always guarantee access to a user account even when such account is under attack while at the same time ensuring convenient and secure login experience by legitimate users. This is achieved by blocking the Internet Protocol (IP) addresses from which there are unsuccessful login attempts. Security test shows that the solution is not vulnerable to SQLI and online password guessing attacks.
International Journal of Social Science and Economic Research

Distant rural regions of the sub-Sahara Africa are often coveted by foreign investing companies for their natural resources . However; the rural populations do not always take advantage of economic benefits resulting from those investing activities. These increasing activities do not leave without harm the health of rural communities as they rely on community-based traditional and ancestral practices such as fishing and hunting, traditional medicine, spiritual ceremonies among others to survive. We aimed to analyze selected indicators of public health in rural zones highly impacted by globalization factors using existing database and literature research. Given the complexity of the situation, efforts and strategies to mitigate the negative effect of globalization on the health of rural communities must include not only urgent and binding commitment of all stake holders but also a multi sectorial long-term approach to increase the health of rural SubSaharan African populations while taking advantages of local know-how.
Checking the validity of word forms generated to ﬁll empty cells in analogical grids

Analogical grids are constructed from a set of words contained in a text. They tend to look like paradigm tables. Obviously, not all word forms in a language are found in a given text or corpus. This leaves empty cells inside analogical grids. Analogy is a possible way to ﬁll in these empty cells. However, there is an issue of creating invalid word forms by analogy. This paper proposes a method to assess the validity of newly generated word forms in such empty cells. Several features are extracted from analogical grids, empty cell, and the word form itself to classify whether newly generated word form is valid or not. We carry experiments in different languages with different morphological richness. Experimental results shows that our model is able to achieve very high accuracies on invalid samples. It also delivers satisfying performance on valid samples.
Conference On Recent Advances In Computer Science

: Recently we see the rapid development in Remote Sensing and Data Mining . It has free various real life applications in several domains such as Urbanization &transportation, National Resource Management, National Security and Agriculture is one of them. This review highlights the precedence of Remote Sensing, and Data Mining techniques for examining the soil properties . As we know soil is a vital part of the environment, survival and humanistic welfare . Soil is formed by minerals, organic matter and living organism components. Soil prediction is dependent on the soil substances. Soil physical, Biological and chemical properties plays a very significant role in agricultural field. Accelerated low cost and predictable assessment of soil quality under agricultural management is necessary to accomplish convenient observation of the effects of various management practices on soil conditions to avoid soil degradation and ensure feasible soil productivity and also soil security. Here we represent all remote sensing and data mining techniques for analysis of soil characteristics and data classification.
Quasi-Parallel Corpora: Hallucinating Translations for the Chinese-Japanese Language Pair

We show how to address the problem of bilingual data scarcity in machine translation. We propose a method that generates aligned sentences which may be not perfect translations. It consists in ‘hallucinating’ new sentences which contain small but well-attested variations extracted from unaligned unrelated monolingual data. We conducted various experiments in statistical machine translation between Chinese and Japanese to determine when adding such quasi-parallel data to a basic training corpus leads to increases in translation accuracy as measured by BLEU.
REVEALING THE SOCIO-ECONOMIC POTENTIAL OF CULTURAL HERITAGE

Our exercise began with the literature survey on impact assessment methodologies applied in the heritage context. It revealed that there is no one-size-fits-all approach to assess the impacts of CH investments. However, the complexity and evolution of impact assessment (IA) as a research methodology and practice are stimulating the process of standardization. Hence, various frameworks and guidelines have emerged to direct IA (Vanclay 2003), such as guidelines of the International Council on Monuments and Sites (ICOMOS 2011) or Social Impact Assessment guidance (Vanclay et al. 2015). In the CH context dedicated works are also facilitated by the United Nations Educational, Scientific and Cultural Organization (UNESCO) at the global level.