Miracle-dz/UniFAR-FTUs huggingface dataset:
Appl. Entomol. Zool. 42 (4): 643–650 (2007)

Recent studies have revealed that non-Cyclorrhapha insects possess two acetylcholinesterases (AChEs): Drosophila Ace-orthologous (o-Ace) and -paralogous (p-Ace) forms. In these insects, p-Ace is considered as a neural target of insecticides because mutations conferring insecticide insensitivity have been consistently identified in equivalent forms from various insects. To clarify the functional differentiation between the two AChE isoforms, we characterized the expression of two AChE genes in nerve cell-rich and -poor tissues of German cockroaches. The two AChE genes were expressed at comparable levels in both the nerve cord and head. Two AChE isoforms with mutually discriminatory fenitroxon sensitivities were exhibited in the nerve cord, indicating that o-Ace and p-Ace function in the neurons. pAce was mainly expressed in the nerve cord and head, while o-Ace was ubiquitously expressed at a comparable level. Moreover, o-Ace transcripts as well as AChE activity were detected in the fat body where no nervous tissue is observed. No AChE activity was detected in the hemolymph. These results show that p-Ace is better as an insecticidal target because of its abundant transcripts in nervous tissue. In addition, the roles of o-Ace, which is present ubiquitously without secretion into the hemolymph in insects, are discussed.
CLINICAL AND RADIOGRAPHIC OUTCOMES OF POLY- ETHERETHERKETONE (PEEK) HYBRID PROSTHESIS USED FOR “ALL ON FOUR” REHABILITATION OF EDENTULOUS MAXILLA. A SHORT-TERM CASE SERIES STUDY

Purpose: The aim of this study was to evaluate clinical and radiographic outcomes of polyetheretherketone (PEEK) hybrid prosthesis used for “All on four” rehabilitation of edentulous maxilla. Materials and methods: Six patients with atrophied edentulous maxillary ridges were managed by 4 implants according to the “All on four” protocol using computer guided surgery and flapless surgical approach. The existing maxillary dentures were placed immediately after modifications on the same day. After 6 months, the definite prosthesis consisted of screw retained milled BioHPP framework bonded to acrylic resin teeth and denture base. The prosthesis restored lost teeth, hard and soft tissues (hybrid fixed prosthesis). Plaque and gingival index, probing depth, implant mobility and bone loss (measured by standardized periapical radiographs) were evaluated after prosthesis delivery (T0), six months (T6) and 12 months (T12) after delivery. Results: Two implants failed in one patient resulting in 91.7% survival rate. Plaque index increased with time. No difference in gingival index, pocket depth, implant stability, and vertical bone loss between observation times was noted. Posterior implant showed higher plaque scores and pocket depth than anterior implants after 6 and 12 months and no significant difference in all other parameters between anterior and posterior implants was noted. Conclusion: Within the limitation of this study, PEEK hybrid prosthesis bonded to acrylic resin teeth and denture base can be used successfully to rehabilitate patients with atrophic maxilla according to “All on four” concept as it was associated with favourable clinical and radiographic outcomes after one year. (3700) Samer Mostafa Ali and Dina Bahgat El Talawy E.D. J. Vol. 65, No. 4
EFFECTS OF SPONSOR-EVENT CONGRUENCE ON BRAND IMAGE, ATTITUDE TOWARD THE BRAND, AND PURCHASE INTENTION: AN EMPIRICAL ANALYSIS IN THE CONTEXT OF SPORT SPONSORSHIP

Event sponsorship is considered as one major marketing strategy. Companies investing in sponsorship are growing rapidly. However, research on sponsorship has not been done in the depth management aspects of a sports organization and has been concentrated in specific areas. Thus, this research fills the gap by conducting the study to analyze the relationship between sponsor-event congruence on brand image, attitude toward the brand, and purchase intention in the context of sport sponsorship event in Indonesia. Questionnaires were distributed by applying a personally administered questionnaire to 200 respondents who participated in that event. Data were analyzed through structural equation modeling method. Results showed that there are 4 out of 6 hypotheses were supported. Those hypotheses are: there is a positive relationship between sponsor-event congruence and attitudes toward the brand; there is a positive relationship between attitudes toward the brand and purchase intention, there is a positive relationship between brand image and attitudes toward the brand, and there is a positive relationship between sponsor-event congruence and purchaseintention.
Inflammation and Mitochondrial Dysfunction in Type I Bipolar Disorder

Bipolar disorder (BD) is a chronic psychiatric illness and a leading cause of disability worldwide. Several lines of evidence suggest that mitochondrial dysfunction and inflammation are present in BD. Our objective was to investigate if there was evidence for NLRP3 inflammasome activation as a link between inflammation and mitochondrial dysfunction in peripheral samples of BD. Sera, peripheral blood mononuclear cells, and DNA were obtained from 205 participants with type I BD and 205 non-psychiatric controls. We observed large differences between recruitment sites in levels of serum cytokines and L-lactate. However, controls and BD cases were not recruited from the same sites and the observed differences were largely be explained by transit time ̶ the time between blood draw and when the sample arrived at the central biospecimens laboratory. The present study highlights problems inherent involving collection of biospecimens for biobanks and provides recommendations for how future studies should be conducted.
Lumbar interbody fusion (LIF) is a procedure that is indicated for various spinal disorders including degenerative disc disease, instability and deformity, neoplasia, infection, and traumatic pathologies. Degenerative pathologies include discogenic lower back pain, radiculopathy due to foraminal ste

Lumbar interbody fusion (LIF) is a procedure that is indicated for various spinal disorders including degenerative disc disease, instability and deformity, neoplasia, infection, and traumatic pathologies. Degenerative pathologies include discogenic lower back pain, radiculopathy due to foraminal stenosis, lumbar degenerative spinal deformity, and spondylolisthesis (1). There are various approaches to LIF: anterior (ALIF), posterior (PLIF), transforaminal (TLIF), oblique (OLIF) and lateral (LLIF). The LIF involves placement of an implant device following discectomy and endplate preparation (2,3). ALIF was first described in the treatment of Pott’s disease (4), and over time, ALIF procedure has been studied extensively and is now a commonly performed procedure for degenerative lumbar spinal disease (3,5). Unlike the PLIF technique, the anterior approach does not require access through the spinal canal with retraction of the nerve roots and cauda equina. Furthermore, it spares potential iatrogenic injury to the posterior spinal muscles (2).
“You really shouldn't have!” Coping with failed gift experiences

Purpose This paper aims to examine coping approaches used by receivers to deal with failed gift experiences, thereby dealing with misperceptions between givers and receivers that could affect their relationship. Design/methodology/approach This study uses a sequential, multimethod methodology using background questionnaires, online diary method and 27 semi-structured interviews. Findings Receivers cope with failed gift experiences through concealing, disclosing or re-evaluating the gift experience. These approaches encompass several coping strategies, allowing receivers to deal with their experiences in ways that help them manage their relationships with givers. Research limitations/implications Informants described gift experiences in their own terms without being prompted to talk about coping, thus some insights of coping with failed gifts may have been missed. Multiple data collection methods were used to minimise this limitation, and the research findings suggest new avenues for future research. Practical implications The present research helps retailers and brands to minimise gift failure by promoting gifts that emphasise aspects of the giver–receiver relationship, assists givers in their learning from gift failure by making them aware of the receiver’s preferences and reduces the cost of gift failure by offering further opportunities to dispose of unwanted gifts. Originality/value This paper contributes to the emerging topic of consumer coping by providing a novel and rounded understanding of coping in the context of failed gift events, identifying new reasons for gift failure, highlighting receivers’ ethical considerations when responding to failed gifts and proposing new insights for the coping literature.
EFFECTS OF DIETARY PROTEIN LEVELS WITH OR WITHOUT SYNTHETIC AMINO ACIDS AND ENZYME SUPPLEMENTATION ON PERFORMANCE OF BROILER CHICKENS

This experiment was conducted to study the effect of using two levels of (recommended (R), R-2%) crude protein (CP) supplemented with or without the requirements of methionine and lysine (Met. and Ly.) and each with two levels (0.00 and 0.10%) of Avizyme 1500 in 2 x 2 x 2 factorial arrangement (giving eight dietary treatments) on growth performance of broiler chickens (Ross strain). Accordingly, a total numbers of 192 one-day old unsexed Ross broiler chickens were initially fed a control diet for five days. At six days of age, chicks were randomly allotted to the dietary treatments, birds were divided into eight treatments (24 birds each), each treatment contained three replicates of eight birds each. Results obtained could be summarized in the following: The main effects of level of CP had insignificant effect on live body weight (LBW), live body weight gain (LBWG), feed intake (FI), feed conversion (FC) and performance index (PI) during finisher (25 to 41) and overall experimental periods (6 to 41 days). Level of CP had significant effect on crude protein conversion (CPC) during the period from 6 to 41 days, chicks fed diet containing R had the worst CPC during same period. Chicks fed adequate amounts of amino acids (AA) supplement diets recorded significantly higher PI value during the period from 6 to 41 days, while, recorded significantly the worst values of FC and CPC during the same period. Level of AA had insignificant effect on LBW, LBWG and FI during overall experimental period. Neither enzyme addition nor interaction between level of CP, AA and enzyme addition had any significant effect on LBW, LBWG, FC, CPC and PI during the period from 6 to 41 days. No significant differences due to level of CP or AA on blood constituents, except, red blood cells count (RBCs) which was significantly affected. Chicks fed diet containing R-2% CP or diet containing inadequate amounts of AA had higher value of RBCs. No significant differences due to enzyme addition and interaction effect of dietary treatments on blood constituents, except, interaction effect on neutrophils% (segment) which was significantly affected. Neither level of CP and enzyme addition nor interaction between level of CP, AA and enzyme addition had any significant effect on slaughter parameters% and tibia weight and ash% at the end of the finishing period. Level of CP, AA and interaction between level of CP, AA and enzyme addition had insignificantly affected chemical composition of broiler meat. Chicks fed diet containing R-2% supplemented with the requirements of Met. and Ly. with 0.10% of Avizyme had the best economical and relative efficiency values during the period from 6 to 41 days of age, as compared with those fed the control diet and other treatments. It can be concluded that, CP can be reduced from the recommended level by 2% and supplement these diets with either Met. and Ly or Avizyme without affecting performance. Besides, using such diets reduces feed cost and N pollution.
Personality Classification from Online Text using Machine Learning Approach

Personality refer to the distinctive set of characteristics of a person that effect their habits, behaviour’s, attitude and pattern of thoughts. Text available on Social Networking sites provide an opportunity to recognize individual’s personality traits automatically. In this proposed work, Machine Learning Technique, XGBoost classifier is used to predict four personality traits based on Myers- Briggs Type Indicator (MBTI) model, namely Introversion-Extroversion(I-E), iNtuition-Sensing(N-S), Feeling-Thinking(F-T) and Judging-Perceiving(J-P) from input text. Publically available benchmark dataset from Kaggle is used in experiments. The skewness of the dataset is the main issue associated with the prior work, which is minimized by applying Re-sampling technique namely random over-sampling, resulting in better performance. For more exploration of the personality from text, pre-processing techniques including tokenization, word stemming, stop words elimination and feature selection using TF IDF are also exploited. This work provides the basis for developing a personality identification system which could assist organization for recruiting and selecting appropriate personnel and to improve their business by knowing the personality and preferences of their customers. The results obtained by all classifiers across all personality traits is good enough, however, the performance of XGBoost classifier is outstanding by achieving more than 99% precision and accuracy for different traits.
Combination of SAR Polarimetric Parameters
for Estimating Tropical Forest
Aboveground Biomass

There is a demand for better information on forest biomass in tropical regions for use in carbon accounting. This needs robust above-ground biomass (AGB) estimation in different forest types. Our study sought to improve biomass estimation by selecting the best regression models based on observations of the contribution of radar signals to AGB in five forest types in Vietnam. Data from PALSAR and PALSAR-2, which covered the forest area, were used to extract 16 polarimetric radar (PolSAR) parameters in 2007 and 2016. This study was designed as a comparative experiment of four regression models: linear, polynomial, support vector machine (SVR) and random forest. First, the contribution of PolSAR data to AGB estimation was evaluated using two approaches: the sample data from all forest types, and the five individual forest types (rich, medium, poor, restoration and bamboo forest). Second, we examined the improvement of AGB prediction by selecting the important variables and assessing the best models for different forest types. The results showed an improvement in the value of R-squared and RMSE using the five individual forest types compared to the combined forest types. In particular, using a multivariate model, RMSE values were enhanced by 9-18% for the rich forest, and by 80-85% for the remaining forest types in all models. SVM provided the best performance for medium and poor forest (RMSE of 8.27 tons ha-1 and 12.38 tons ha-1, respectively), random forest for bamboo (RMSE of 23.18 tons ha-1), and the polynomial regression for the restoration forest (RMSE *e-mail: manhhakg@sgu.edu. vn DOI: 10.15244/pjoes/112900 ONLINE PUBLICATION DATE: 2020-03-09 Tuong T.T. C. , et al. 3354
Employee Burnout vs Employee Engagement and Its Impact on Turnover Intention

The purpose of this study was to determine the effect of burnout and employee engagement on turnover intention. The research method used is quantitative research methods. The population in this study were employees of PT. Arteria Daya Mulia (ARIDA) with 841 people. The technique of measuring the number of samples uses the Slovin formula with a margin of error of 10%, so that the number of samples is set at 90 respondents. Data collection techniques using questionnaires and data analysis techniques using multiple regression analysis. The results showed that burnout had a positive and significant effect on turnover intention and employee engagement had a negative and significant effect on turnover intention.
Implementing nature-based solutions for creating a resourceful circular city

Resource depletion, climate change and degradation of ecosystems are challenges faced by cities worldwide and will increase if cities do not adapt. In order to tackle those challenges, it is necessary to transform our cities into sustainable systems using a holistic approach. One element in achieving this transition is the implementation of nature-based solutions (NBS). NBS can provide a range of ecosystem services beneficial for the urban biosphere such as regulation of micro-climates, flood prevention, water treatment, food provision and more. However, most NBS are implemented serving only one single purpose. Adopting the concept of circular economy by combining different types of services and returning resources to the city, would increase the benefits gained for urban areas. The COST Action Circular City aims to establish a network testing the hypothesis that: ‘A circular flow system that implements NBS for managing nutrients and resources within the urban biosphere will lead to a resilient, sustainable and healthy urban environment’. In this paper we introduce the COST Action Circular City by describing its main objectives and aims. The paper also serves as introduction to the review papers of the Action's five Working Groups in this Special Issue.
Impact of the Labour Productivity on Farm Income in Poland

In the case of all farms, the issue of profitability achieved is crucial. The effectiveness of production factors involved, including labour, shapes income in agriculture to a large extent. Thus, the increase in the productivity of the labour factor determines the increase in the labour profitability. On the grounds of classical microeconomic relationships, it can be pointed out that the increase in farm income, which is the remuneration of the labour factor, can take place, ceteris paribus, with the increase in production. Assuming the permanence of labour factor inputs in the long term, the source of production growth should, in turn, be the increase in the labour productivity. The objective of the paper is to identify differences in the impact of labour productivity on farm income, with the dominance of family labour force and on farms with a dominance of paid labour force in Poland. The results presented may serve as a basis for concluding on the income situation of farms depending on the type of labour factor involved. The study will use the FADN data from 2009-2015 for Polish farms. The impact of labour productivity on farm income will be analysed using the propensity score matching method.
Human resource management in improving students’ academic achievement mediated by teacher’s performance

The role of teacher is critical in improving students’ academic performance. Teacher’s performance is affected by many factors. This study analyzes and examines the effect of organizational culture, leadership style, work ethic, and work commitment on teacher’s performance and students’ academic achievement. The study applies the analytical research involving private high school teachers in the district of Jember East Java Province of Indonesia. There are 313 private high schools in Jember with more than 5,000 teachers. The sample consists of 213 respondents. The main research data were obtained by distributing the questionnaires. It uses path analysis to determine the direct and indirect effect using the structural equation modeling. The results show that organizational culture, leadership style, work ethic, and work commitment have a significant positive effect both on teacher’s performance and students’ academic performance. Besides, teacher’s performance plays a significant mediating role in the relationship between the independent variables and students’ academic performance.
Accident Detection and Disaster Response Framework Utilizing IoT

The internet of things (IoT) leads the noteworthy edges above customary information and communication technologies (ICT) for Intelligent Transportation Systems (ITS). The progression in the transportation system, the increment in vehicles and the accidents happened on the roads are cumulative up to an alarming situation. Additionally, 1.256 million people expire by the road bumps every year and it is very problematic to find the precise accident location of the user. If an accident occurs, the survival rate of the victim increases, if he is given instantaneous remedial assistance. You can provide remedial assistance to the victim only when you identify the precise location of accident. The main persistence of this system is to identify an accident and find the location of the user. After tracing the location, the system will search nearby hospitals for remedial treatment. System will send a message that contains user's current location, to the nearby hospitals in case of an emergency. System will acquire recommended contacts from the cloud and also send message to them for user’s support by using API. If the user is safe, he can cancel the message that is being sent to the nearest hospital and the recommended contacts. This system will help the users in saving their lives within minimal time.
Optimal Investment Strategy under the CEV Model with Stochastic Interest Rate

Interest rate is an important macrofactor that affects asset prices in the financial market. As the interest rate in the real market has the property of fluctuation, it might lead to a great bias in asset allocation if we only view the interest rate as a constant in portfolio management. In this paper, we mainly study an optimal investment strategy problem by employing a constant elasticity of variance (CEV) process and stochastic interest rate. The assets of investment for individuals are supposed to be composed of one risk-free asset and one risky asset. The interest rate for risk-free asset is assumed to follow the Cox–Ingersoll–Ross (CIR) process, and the price of risky asset follows the CEV process. The objective is to maximize the expected utility of terminal wealth. By applying the dual method, Legendre transformation, and asymptotic expansion approach, we successfully obtain an asymptotic solution for the optimal investment strategy under constant absolute risk aversion (CARA) utility function. In the end, some numerical examples are provided to support our theoretical results and to illustrate the effect of stochastic interest rates and some other model parameters on the optimal investment strategy.
AN IMPROVED SINGLE IMAGE DEHAZING ALGORITHM BASED ON DOWNSAMPLING

: Now-a-days our environment is full of pollution. Pollution includes particles, water droplets, fog, smoke due to atmospheric absorption and scattering. Due to this the outdoor images suffer degradation, which is termed as Haze. The removal of this Haze is called Dehazing. In this paper, we propose a fast haze removal method, which is an improved version of an existing method using dark channel prior method proposed by He et al. [1]. In this method, we reduced the computational time by improving the method to estimate dark channel. Our proposed method uses a downsampled image and do not need a soft – matting process [2]. Experiments have proved that our proposed method is faster than existing He’s dark channel method with acceptable image quality.