Miracle-dz/UniFAR-FTUs huggingface dataset:
A comparative study for the efficiency of the Platelet-rich plasma and hyaluronic acid in treatment of temporomandibular joint osteoarthritis

Objectives: The aim of this study is to compare the effect of Platelet-rich plasma (PRP) and Hyaluronic acid (HA) in management of Temporomandibular joint osteoarthritis (TMJ-OA) Patients and methods: Among 46 patients who were diagnosed with TMJ-OA, 14 patients were treated with PRP, 17 patients were treated with HA and 15 patients were treated with arthrocentesis alone, evaluation of clinical improvement was done for each patient postoperatively at 6 and 12 months.Results: After 6 months, there were no statistically significant differences in the mean changes between PRP and HA groups regarding the pain intensity value, joint sound and extent of maximum mouth opening, while at the end of the follow-up period, after 12 months, better clinical results were maintained in the group treated with PRP.Conclusion: The application of PRP is more effective and remains for long term than HA injection TMJ-OA treatment.
On the Analysis of Machine Learning Classifiers to Detect Traffic Congestion in Vehicular Networks

Problems related to traffic congestion and management have become common in many cities. Thus, vehicle re-routing methods have been proposed to minimize the congestion. Some of these methods have applied machine learning techniques, more specifically classifiers, to verify road conditions and detect congestion. However, better results may be obtained by applying a classifier more suitable to domain. In this sense, this paper presents an evaluation of different classifiers applied to the identification of the level of road congestion. Our main goal is to analyze the characteristics of each classifier in this task. The classifiers involved in the experiments here are: Multiple Layer Neural Network (MLP), K-Nearest Neighbors (KNN), Decision Trees (J48), Support Vector Machines (SVM), Naive Bayes and Tree Augment Naive Bayes.
Induction of somatic embryogenesis and evaluation of genetic stability in regenerated plants of Magnolia dealbata

The utility of plant tissue culture for the mass propagation of trees is well known, but continuous in vitro multiplication of plant material may increase the possibility of somaclonal variation; therefore, it is essential to evaluate the genetic integrity of regenerants from species-specific in vitro protocols prior to mass production and implementation. The objectives of this study were: 1) to determine the effect of 2,4-dichlorophenoxyacetic acid (2,4-D) concentration over two cycles of secondary somatic embryogenesis in Magnolia dealbata; and 2) to verify the genetic stability of the regenerants obtained. The embryogenic response was not significantly affected by the concentration of 2,4-D but did vary across cycles of induction. The addition of 4.52 μM 2,4-D induced the highest total number of embryos (100.5), the mean number of somatic embryos (25.1) and somatic embryos per explant (80.6). In both 2,4-D concentration (2.26 or 4.52 μM), genetic integrity between the donor and the propagated clones was 0.90, and the low genetic instability (≤ 0.10 in both PGR treatments) might be due to effect of cyclic somatic embryogenesis or the different response of the explants at stress in in vitro culture conditions. However, it is necessary to examine more cell lines and somatic embryogenesis cycles.
Motion Planning and Safety for Autonomous Driving

This thesis discusses two different problems in motion planning for autonomous driving. The first is the problem of optimizing a lattice planner control set for any particular autonomous driving task, with the goal of reducing planning time for that task. The driving task is encoded in the form of a dataset of trajectories executed while performing said task. In addition to improving planning time, the optimized control set should capture the driving style of the dataset. In this sense, the control set is learned from the data and is tailored to a particular task. To determine the value of control actions to add to the control set, a modified version of the Fréchet distance is used to score how useful control actions are for generating paths similar to those in the dataset. This method is then compared to the state of the art lattice planner control set optimization technique in terms of planning runtime for the learned task. The second problem is the task of extending the Responsibility-Sensitive Safety (RSS) framework by introducing swerve manoeuvres in addition to the nominal braking manoeuvres present in the framework. This includes comparing the clearance distances required by a swerve to the braking distances in the original framework. This comparison shows that swerve manoeuvres require less distance gap in order to reach safety from a braking agent in front of the autonomous vehicle at higher speeds. For more realistic swerve manoeuvres, the kinematic bicycle model is used rather than the 2-D double integrator model considered in RSS. An upper bound is then computed on the required clearance distance for a swerve manoeuvre that satisfies bicycle kinematics. A longitudinal safe following distance is then derived that is provably safe, and is shown to be lower than the following distance required by RSS at higher speeds. The use of the kinematic bicycle model is then validated by computing swerve manoeuvres with a dynamic single-track car model and Pacejka tire model, and comparing the single-track swerves to the bicycle swerves.
PROCESS MANAGEMENT IN LOCAL GOVERNMENT SHARED SERVICES CENTRES – FROM AN INVENTORY OF SHARED SERVICE PROCESSES TO SLA DESIGNING

The efficiency and quality of performed tasks constitute one of the indicators of functioning of an organization in both the public and private sector. The article presents the experience of the Shared Services Centre (SSC) in Toruń in the managing processes conducted as a part of provided shared service. The management of the processes which are presented by the authors of the article includes inventories of taken-over processes, their standardisation, optimisation and the principles of constructing service level agreements (SLAs) concluded by the SSC with the served units.
Antioxidant potential of Shorea robusta resin-accelerated cutaneous wound healing in streptozotocin-induced diabetic rats

Oxidative stress plays a pivotal role in the development of diabetes complications. It was hypothesized that elimination of reactive oxygen species by the application of herbal extract in the treatment of cutaneous wounds could be an important strategy to improve healing of wounds. The time-dependent and concentration-dependent effects of alcoholic extract of Shorea robusta resin (SRE) were evaluated on cutaneous wound healing in diabetic rats. Open excision wounds of 2x2 cm2 were experimentally created on dorsal region of the diabetic rats. 3, 10 or 30% SRE ointment was applied topically on the wound area twice daily for 19 days, as compared to diabetic control in which only ointment base was applied. Six animals from each group were sacrificed on days 3, 7, 14 and 19 to collect the granulation tissue which was used for the estimation of antioxidant enzyme activity and lipid peroxidation by spectrophotometer. Topical application of SRE markedly decreased the wound size, as compared to that of control group on day 3, 7, 14 and 19 post-wounding. The levels of GSH and activities of SOD and catalase were markedly higher in SRE treated group with concomitant decrease in MDA and NO level on day 3, 7, 14 and 19 as compared to control. The results of this study revealed that SRE treatment caused faster as well as better organized healing of cutaneous wounds in diabetic rats. The quality of the healed tissue was much better than the diabetic control rats. Thus, the SRE has shown great potential in treating wounds in diabetic rats.
www.econstor.eu Digitalization Potentials in Supporting Offshore Wind Logistics

Suggested Citation: Chartron, Sylvain; Stein, Michael; Gaysse, Jérôme; Haasis, Hans-Dietrich (2018) : Digitalization potentials in supporting offshore wind logistics, In: Jahn, Carlos Kersten, Wolfgang Ringle, Christian M. (Ed.): Logistics 4.0 and Sustainable Supply Chain Management: Innovative Solutions for Logistics and Sustainable Supply Chain Management in the Context of Industry 4.0. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 26, ISBN 978-3-7467-6536-5, epubli GmbH, Berlin, pp. 81-101, http://dx.doi. org/10.15480/882.1809 This Version is available at: http://hdl.handle. net/10419/209360
Neural Network based Linear and Nonlinear Noise Estimation

—Operators are pressured to maximize the achieved capacity over deployed links. This can be obtained by operating in the weakly nonlinear regime, requiring a precise understanding of the transmission conditions. Ideally,optical transponders should be capable of estimating the regime of operation from the received signal and feeding that information to the upper management layers to optimizate the transmission characteristics, however this estimation is challenging. This paper addresses this problem by estimating the linear and nonlinear SNR from the received signal. This estimation is performed by obtaining features of two distinctive effects: nonlinear phase noise and second-order statistical moments. A small neural network is trained to estimate the SNRs from the extracted features. Over extensive simulations covering 19,800 sets of realistic ﬁbre transmissions, we veriﬁed the accuracy of the proposed techniques. Employing both approaches simultaneously gave a measured performances of 0.04 and 0.20 dB of std error for the linear and nonlinear SNR, respectively.
Shifts in tree growth sensitivity to climate 1 Monitoring climate sensitivity shifts in tree-rings of eastern boreal North America

1 Monitoring climate sensitivity shifts in tree-rings of eastern boreal North America using model1 data comparison 2 3 Clémentine Ols 1,2* , Martin P. Girardin 3 , Annika Hofgaard 4 , Yves Bergeron 1 & Igor Drobyshev 1,5 4 1Institut de recherche sur les forêts, Université du Québec en Abitibi-Témiscamingue, 445 5 boul. de l'Université, Rouyn-Noranda, QC J9X 5E4, Canada 6 2Institut National de l’Information Géographique et Forestière, Laboratoire d’Inventaire 7 Forestier, 14 rue Girardet, 54000 Nancy, France 8 3Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, 1055 du 9 P.E. P.S. , P.O. Box 10380, Stn. Sainte-Foy, Quebec, QC G1V 4C7, Canada 10 4Norwegian Institute for Nature Research, P.O. Box 5685 Sluppen, NO-7485, Trondheim, 11 Norway 12 5Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, P.O. 13 Box 49, SE-230 53, Alnarp, Sweden 14 15 Clementine Ols, * Corresponding author, (1) clementine.ols@ign.fr, (2) clementine.ols@uqat.ca , : 16 +33782818920 17 Martin P. Girardin, martin.girardin@canada.ca 18 Annika Hofgaard, annika.hofgaard@nina.no 19 Yves Bergeron, yves.bergeron@uqat.ca 20 Igor Drobyshev, (1) igor.drobyshev@uqat.ca, (2) igor.drobyshev@slu.se 21 For author contributions see footnote below 1 22 23
Homogenization of Alloying Particles in Induction Crucible Furnaces

The present paper contains the result of the numerical modelling of the industrial process of the particle homogenization in induction crucible furnaces. The LES method is used to simulate the flow of liquid metal and the Lagrangian equation is used for particle tracking. The algorithm is implemented by means of the development of the OpenFOAM software code. The analysis of the numerical results allows us to conclude that big particles concentrate in a the thin layer near the wall and the number of the particles in the layer is much bigger for the particles with low density. The homogenization of the particles with the density equal to the liquid density occurs more rapidly than the homogenization of the light particles because of different behaviour of the particles in the middle zone of the crucible near the wall. The physical model of the particle motion in this zone is presented in this paper.
Neoadjuvant chemotherapy for upper tract urothelial carcinoma

Upper tract urothelial carcinoma (UTUC) is a very uncommon disease that occupies for <5% of all urothelial cancers. Radical nephroureterectomy (RNU) remains the standard-of-care for UTUC; however, when patients with locally advanced UTUC are treated with RNU only, the recurrence rate is high. Therefore, perioperative chemotherapy has been proposed given the high systemic recurrence rate. Moreover, there is growing evidence that neoadjuvant chemotherapy (NAC) plays an important role in the treatment of UTUC. Several studies and meta-analyses have reported the beneficial effect of NAC on survival outcomes and pathologic downstaging of patients with UTUC. However, the recommendation of NAC for UTUC is primarily based on level 1 evidence that demonstrated a beneficial effect on survival outcomes in patients with bladder cancer. The chemotherapy regimen for patients with UTUC is also based on that used for patients with bladder cancer. Nevertheless, the use of NAC for UTUC has some limitations, including the possibility of overtreatment. Therefore, selection criteria for NAC are needed, as are further trials to identify the most suitable patients and validate its use in daily clinical practice.
Referral of Patients with Nonmalignant Chronic Diseases to Specialist Palliative Care: A Study in a Teaching Hospital in Ghana

Ghana's chronic disease burden is on the rise. An essential aspect of clinical care in chronic disease management is to improve the quality of life of both patients and their families and to help them cope with the experience of life-limiting illness. Specialist palliative care services help reach this objective, especially in the context of complex psychosocial challenges and high symptom burden. It is, therefore, necessary that as many patients as possible get access to available specialist palliative care services. This paper explores the factors influencing referral of patients with nonmalignant chronic diseases for specialist palliative care. A qualitative approach was used to explore these factors from eight (8) participants—four (4) physician specialists and four (4) next of kin of patients with advanced nonmalignant chronic illness. Individual face-to-face interviews were conducted using a semistructured interview guide. Interviews were audio-recorded and data coded, themes and subthemes were identified, and thematic analysis was done. Barriers and motivators identified were categorized as either related to physicians, institution, or family. Barriers to referral were perception of the scope of palliative care, medical paternalism, lack of an institutional referral policy, poor human resource capacity of the palliative care team, and lack of awareness about the existence of specialist palliative care service. Poor economic status of the patient and family, poor prognosis, previous interaction with the palliative care team, and an appreciation of patients' expectations of the healthcare system were identified as motivators for referral. The palliative care team must therefore increase awareness among other health professionals about their services and facilitate the development and availability of a clear policy to guide and improve referrals.
Collections and genetic diversity analyses of SSR markers for mango native genetic resources in Lao PDR

Exploration and collection of mango native genetic resources have been conducted in southern and central parts of Laos. A total of 24 accessions of mango local varieties were collected, and successfully propagated and conserved by grafting at Horticultural Research Center as the first collection of mango genetic resources in Laos. Collected genetic resources were employed for DNA analysis of SSR markers to estimate genetic relationship and diversity among accessions. From the results, it was interesting that some accessions were identified as same genotype even from different regions and different local variety names. Compared with world standard varieties, Laos mango genetic resources have potentially unique genotypes to be conserved and utilized.
An Enhanced Twitter Corpus for the Classification of Arabic Speech Acts

Twitter has gained wide attention as a major social media platform where many topics are discussed on daily basis through millions of tweets. A tweet can be viewed as a speech act (SA), which is an utterance for presenting information, hiding indirect meaning, or carrying out an action. According to SA theory, SA can represent an assertion, a question, a recommendation, or many other things. In this paper, we tackle the problem of constructing a reference corpus of Arabic tweets for the classification of Arabic speech acts. We refer to this corpus as the Arabic Tweets Speech Act Corpus (ArTSAC). It is an enhancement of a modern standard Arabic (MSA) tweet corpus of speech acts called ArSAS. ArTSAC is more advantageous than ArSAS in terms of its richness of annotated features. The goal of ArTSAC is twofold: Firstly, to understand the purpose and intention of tweets which act in accordance with the SA theory, and hence positively influencing the development of many natural language processing (NLP) applications. Secondly, as a future goal, to be used as a benchmark annotated dataset for testing and evaluating state-of-the-art Arabic SA classification algorithms and applications. ArTSAC has been put in practice to classify Arabic tweets containing speech acts using the Support Vector Machine (SVM) classification algorithm. The results of the experiments show that the enhanced ArTSAC corpus achieved an average precision of 90.6% and an F-score of 89.6%. Substantially it outperformed the results of its predecessor ArTSAC corpus.
Supporting Information of “Ultra-confined plasmonic hotspots inside graphene nanobubbles”

“Ultra-confined plasmonic hotspots inside graphene nanobubbles” Z. Fei1,2,3*, J. J. Foley IV2,4, W. Gannett5,6, M. K. Liu1,7, S. Dai1, G. X. Ni1, A. Zettl5,6, M. M. Fogler1, G. P. Wiederrecht2, S. K. Gray2, D. N. Basov1,8 1Department of Physics, University of California, San Diego, La Jolla, 92093, USA 2Center for Nanoscale Materials, Argonne National Laboratory, Argonne, Illinois 60439, USA 3Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA 4Department of Chemistry, William Paterson University, Wayne, New Jersey, 07470, USA 5Department of Physics, University of California at Berkeley, Berkeley, California 94720, USA 6Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA 7Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York, 11794. 8Department of Physics, Columbia University, New York, NY 10027, USA.
Smart Customer Care using AI-Based Approach

—Artificial Intelligence is getting as smart as human and it is capable of replacing humans in many fields, for example, in medical and in education fields or in business. One of the reasons to use AI was for customers service and care. In this study, the researcher has developed a simulation program “Chatbot” to assist the authorities on the fishing license, by collecting some samples and information from a helpdesk center. The researcher then used this data to analyze and design responding format of the program, which was developed by Dialogflow and Python. Program efficiency and users’ satisfaction can be examined through an evaluation form, with is classified into five rating scales with two points of view: program design and use as well as program response and accuracy. The program design and use are focused on efficiency, feature and process, chat design and reliable analysis. The results of the program design and use can be explained as follows: practical delivery was 4.35 in rating scales, while the program design and use were less. Chat feature was 3.55, while the overall satisfaction was 3.88, while the most satisfying result of answer and accuracy was its question repeating. Satisfaction in terms of the edited issue was 4.75, while the satisfaction regarding the answers and accuracy was at the lowest scale, 3.6 in the rating scale, with the same result regarding the capacity of the program to respond towards users. The overall satisfaction upon the answer and accuracy was 4.05, the result of both issues genuinely explains the satisfaction regarding the program design and use, focused on their feature and process, chat design and authentic delivery. Regarding the program design and use, since according to the study the answer and accuracy were 3.9, the researcher reached the conclusion that the program still needs better development in order to work more efficiently on both aspects, program design, and efficiency as well as to minimize errors as much as possible
A Review Study on Self-compassion and Its Place in Psychological Health

* Corresponding Author: Bahman Kurd, PhD. Address: Department of Psychology, Mahabad Branch, Islamic Azad University, Mahabad, Iran. Tel: +98 (914) 3800915 E-mail: b.kurd@iau-mahabad.ac. ir Background: Self-compassion is a construct of mental health that facilitates acceptance and understanding without judgment of difficult mental conditions. It is also effective in creating positive emotions and improving mental well-being.
A Supervised Joint Topic Modeling Method Using Sentiment Analysis

ABSTRACT: In this project, we concentrate on displaying user produced review and general rating sets, and plans to distinguish semantic aspect and aspect level feelings from review information and in extra to anticipate general prediction of review. We developed a novel probabilistic surprised joint aspect and sentiment model (SJASM) to manage the issues in one goes under a brought together structure. SJASM speaks to each audit record as assessment matches, and can all the while display perspective terms and relating conclusion expressions of the survey for concealed angle and assumption location. It additionally use nostalgic general evaluations, which frequently accompanies online surveys, as supervision information, and can derive the semantic perspectives and viewpoint level suppositions that are significant as well as prescient of general notions of audits. Besides, we additionally create proficient derivation technique for parameter estimation of SJASM in view of given way Gibbs testing. We assess SJASM widely on certifiable audit information, and trial comes about exhibit that the proposed show beats seven entrenched pattern strategies for assumption examination errands.
EXPLOITING SPATIAL PATTERNS FOR INFORMAL SETTLEMENT DETECTION IN ARID ENVIRONMENTS USING OPTICAL SPACEBORNE DATA

In this paper human settlement detection using SPOT data in arid environments is addressed, with stress on informal settlement analysis. We show that a proper use of spatial patterns may improve the delineation of the extent of these areas and the discrimination between formal and informal settlements. A comparison with existing global data sets shows the potentials of this approach for human settlement mapping in arid environments.
Threshold effects and unit roots of real commodity prices since the mid-nineteenth century

This paper investigates whether real commodity prices for six major primary goods can be characterized by a unit root process and nonlinearities. An unconstrained two-regime threshold autoregressive model is used with an autoregressive unit root. Among the main results, it is found that terms of trade for agricultural, mineral, non-tropical, and non-oil goods, are nonlinear processes that are characterized by a unit root process. Additionally, we found evidence supporting the Prebisch-Singer hypothesis for mineral and tropical goods.