Miracle-dz/UniFAR-FTUs huggingface dataset:
Digital Asymmetries in Transnational Communication: Expectation, Autonomy and Gender Positioning in the Household

In contemporary society, information and communication technologies (ICTs) are widely cherished for helping transnational households preserve a coherent sense of familyhood despite geographical separation. Despite ICTs having positive benefits for the maintenance of long-distance intimacies, digital asymmetries characterized by gaps in routines, emotional experiences, and outcomes of ICT use can also emerge between family members of different structural, social, and geographical conditions. Drawing on an innovative “content–context diary”-cum-participant observation, this article investigates the multi-dimensional digital asymmetries emerging from the transnational communication of Chinese “study mothers” in Singapore. Using the data visualization and analysis tool “ecomap,” the findings uncover that study mothers were largely beleaguered by expectation asymmetry and autonomy asymmetry, arising from different expectations to and control over daily transnational communication with their family members. The study mothers were disadvantaged by their relatively isolated life situations in the host society and accentuated gender hierarchies in the household.
CO Adsorption and Oxidation on Ceria Surfaces from DFT+U Calculations

The limiting steps of CO oxidation catalyzed by ceria via the Mars−van Krevelen reaction mechanism are identified and investigated by means of density functional theory calculations that account for the on-site Coulomb interaction via a Hubbard term (DFT+U). We address the adsorption of CO on the (111) and (110) surfaces, and its oxidation via participation of lattice oxygen leading to vacancy formation and CO2 desorption. CO physisorbs on the (111) ceria surface (Ebind 2 eV) yielding carbonate formation and surface reduction. The DFT+U energy of CO adsorption and oxidation is studied as a function of the parameter U. This analysis demonstrates that the values of U presently used in the literature (U > 4 eV) tend to overestimate the binding energy of CO to ceria surfaces. In contrast, the energy for the complete CO oxidation reaction is effectively independent of U and in good agreement with the available experimental data. The discuss.
Effectiveness of flonicamid 50 wg and flupyradifurone 200 SL against leafhopper and whitefly in okra

A field study was carried out to determine the efficacy of different insecticides against leafhopper and whitefly on okra crop during Kharif 2015 and 2016. Three different concentrations of each insecticide viz., flonicamid 50 WG and flupyradifurone 200 SL and single concentration of commonly used neonicotinoid i.e., imidacloprid 17.8 SL were used to observe their efficacy against leaf hoppers and whitefly on okra. The lowest population of leafhopper, 1.0/five leaves/plant during 2015 and 1.33/five leaves/plant during 2016 after 10 days of third spray was recorded in flonicamid 50 WG @ 0.4 g/l. However, the lowest population of whitefly, 1.53/five leaves/plant during 2015 and 1.33/five leaves/plant during 2016 after 10 days of third spray was observed in flupyradifurone 200SL @ 2.5 ml/l. The highest marketable fruit yield, 41.55 q/ha and 64.27 q/ha, respectively, during 2015 and 2016 was recorded from the treatment flonicamid 50 WG @ 0.4 g/l. Flonicamid and flupyradifurone both the chemicals gave satisfactory control in comparison to imidacloprid, thus, these new class insecticides may be a suitable option for the management of sucking insect-pests in okra.
Legal Language Modeling with Transformers

We explore the use of deep learning algorithms to generate text in a professional, technical domain: the judiciary. Building on previous work that has focused on non-legal texts, we train auto-regressive transformer models to read and write judicial opinions. We show that survey respondents with legal expertise cannot distinguish genuine opinions from fake opinions generated by our models. However, a transformer-based classiﬁer can distinguish machine-from human-generated legal text with high accuracy. These ﬁndings suggest how transformer models can support legal practice.
RELATING SOIL TEST P TO P UPTAKE BY PADDY RICE

In Arkansas, the Mehlich-3 extraetant is used in the determination of soil test P for both upland and lowland crops. However, this technique does not consistently predict a response by paddy rice (Oryza sativa L.) to P fertilization. The objective of this research was to relate soil test P determined by four extractants to P uptake by paddy rice grown on two rice-producing soils. The soils in this study were a Crowley silt loam and two Hillemann silt loam samples collected from fields where P deficiencies in rice were observed the previous summer. Rice was grown on these soils in the greenhouse at fertilizer rates of 0, 5, 10, 20 and 40 mg P kg-1. Plant uptake and tissue concentrations of P were measured and related to soil test P extracted by Mehlich-3, Bray-1, Olsen, or ion exchange resin at 0, 24, 31, and 124 days after flooding (DAF). The Crowley had the highest soil test P obtained with all extractants at all flooding dates compared with the two Hillemann soil samples. Mehlich-3 and Bray-1 extractants consistently gave higher soil test P values on the Crowley soil than did Olsen and resin extractants. Only the resin showed a consistent correlation between soil test P measured at 0 DAF and % P in shoot and total P uptake measured at 24, 31, and 124 DAF. This correlation was improved when P uptake was related to soil test P measured on anaerobic soils. Although Mehlich-3 is convenient for soil test laboratories, the resin appears to be a more appropriate extractant to estimate plant available P for paddy rice.
Economical Performances and Cholesterol Profiles due to the Incorporation of Salvinia molesta in the Diets of Kampong Chicken

This study aimed to perform an assessment of economic performance and meat cholesterol profiles of Kampong chickens fed diets with the increasing levels of Salvinia molesta. One hundred male Kampong chickens were divided into 4 treatments containing 0% (T0), 6% (T1), 12% (T2), and 18% (T3) of S. molesta leaf (SML) in the diet. Then, an economic analysis was performed by calculating revenue, feed cost, and income over feed cost (IOFC). Investment analysis was computed when the farmers raised 1000 heads of Kampong Chicken utilized SML in the feed. NPV, PP, and B/C ratio were calculated for each treatment. The performance of the Kampong chickens fed the diet with SML content of 18% gave the best feed consumption, the final weight, and FCR. Kampong chickens fed diet with SML content of 18% gave the best IOFC. In the investment analysis, the Kampong chicken fed diet contained 18% SML gave the best NPV, PP, and B/C ratio. Regression analysis was conducted on the level of SML in the diet of kampong chicken on some parameters. Kampong chicken fed diet contained SML had significantly higher HDL and lower LDL concentrations. The optimum inclusion level of SML leading to a reduced feed cost and increased IOFC, as well as feasibility, was 18%. Based on the study, utilization of SML up to 18% in the diet of kampong chicken technically and economically gave the best performances.
1686-1691 Houssein Elbaraasi 439

1686 EFFECTS OF DIETARY EXCESS OF VITAMIN E AND SELENIUM ON SOME PRODUCTION TRAITS, LIPID PEROXIDE STATE AND AMOUNT/ACTIVITY OF THE GLUTATHIONE REDOX SYSTEM IN AFRICAN CATFISH CLARIAS GARIEPINUS (SILURIFORMES, CLARIIDAE) FINGERLINGS Houssein Elbaraasi, Miklós Mézes, László Horváth, István Csengeri, Katalin Németh, László Wágner and Krisztián Balogh Department of Zoology, Faculty of Science, Benghazi University, Benghazi, Libya Department of Nutrition, Faculty of Agricultural and Environmental Science, Szent István University, Gödöllő, Hungary Department of Fisheries, Faculty of Agricultural and Environmental Science, Szent István University, Gödöllő, Hungary Research Institute for Fisheries, Aquaculture and Irrigation, Szarvas, Hungary Department of Nutrition, Faculty of Animal Science, Kaposvár University, Kaposvár, Hungary Department of Animal Physiology and Nutrition, Georgikon Faculty of Agriculture, Pannon University, Keszthely, Hungary
(Kualiti Hubungan dan E-Kesetiaan terhadap Agensi Perjalanan dalam Talian (OTA): Perspektif Teori Pertukaran Sosial)

Drawing from the social exchange theory, the study extends the merits model of ICTR and examine the correlation of communication, transaction, and relational on relationship quality and e-loyalty towards the online travel agency (OTA). The data for the present study were collected from 190 tourists in Sabah, Malaysia. For our data purification and paths analysis, we employed structural equation modeling using PLS-SEM. The initial analysis of the current framework produces strong nomological validity. The path-coefficient analysis indicates that all dimensions of communication, transaction and relational have strong correlations as reliable antecedents for both trust and satisfaction. Correspondingly, the findings indicate that both of our latent constructs of relationship quality positively influence consumers’ sense of e-loyalty towards OTA. The bootstrapping analysis also offers credence on the relationship quality of trust and satisfaction as a significant mediator for e-loyalty. Limitations and recommendations for future research are also discussed and noted.
* Owoyemi J. M. and Akinwamide T. O. ASSESSMENT OF DENSITY AND ANATOMICAL PROPERTIES OF NIGERIAN GROWN Cocos nucifera WOOD

The knowledge of density and anatomical features of wood is required to understand its morphology prior to its use in order to recommend appropriate treatments and applications. Anatomy of coconut wood with its density was investigated in this study. Methods used include sectioning and fibre characterization both along and across the stem of the tree. The mean results obtained for the Fibre Length, Fibre Diameter, Lumen Width and Vessel Diameter were 1.49mm, 0.030mm, 0.02mm, and 0.27mm respectively. Its density were found to vary along the stem. The basic 3 density distribution of Cocos nucifera showed that the middle portion has the highest density of 1107.85kg/m , 3 followed closely by the base portion with 1052.67kg/m while the top portion recorded the least density of 3. 1003.79kg/m . Both the density and anatomical results showed a comparable value which make it a suitable alternative for timber. Abstract
Impact of Leverage on Firms’ Investment: Decoding the Indian Experience

It has been observed in India that economic growth cycle coincides with the investment cycle. We find that firm-level leverage could provide early signals about the movements in the investment cycle. Furthermore, a firm’s leverage adversely affects its investment activity after a threshold. Regression results after controlling for firm’s price to book ratio and operational variables indicate that adverse impact of high leverage on low growth firms is predominant. We conclude that initiatives to clean up balance sheets of banks and deleveraging by non-financial corporates should help in revival of the investment cycle. Our results are consistent with the agency cost of debt and trade-off theory of capital structure, where firms set a target for leverage by balancing costs and benefits of debt. JEL Classification: D22, E3, G31 and G32
The Hirsch index for Twitter: Inﬂuential proponents and opponents of Brexit

We propose a measure of influence on Twitter, based on the well-known Hirsch index [6]. The influence of a Twitter user is defined as a combination of her/his productivity (the number of tweets posted) and citations (the number of retweets received). The retweets are a form of endorsement, and we already demonstrated that the retweet networks reflect well the actual relations between the Twitter users. In the case of the members of the European Parliament, we showed that the retweet communities closely match the political groups and nationalities of the members [2], and that their co-voting and retweeting behaviours are correlated [1].
International Journal of Instruction

This paper examined the comparative effects of Reading-While-Listening practice (RWL) and a proposed practice of Listening before Reading while Listening (LBRWL), both of which practices were inspired by the principles of extensive listening. Participants were 138 Thai Grade 8th students, from a school in the north of Bangkok, Thailand, divided into 3 groups, with 2 experimental groups (RWL and LBRWL groups) and a positive control group (high language proficiency group) as the top baseline. Two vocabulary tests and two listening tests (each of which had specific and general tests) were administered in three stages over 16 weeks (1 school term); before, after, and 10 weeks after the experiments. The results showed that participants, in both experimental groups, using 12 graded reader books with audio CDs, were found to gain in all four tests. The all delayed posttests indicated the language retentions. When compared among the three groups, the participants in LBRWL outperformed the RWL group. Additionally, there was no significant difference in performance between LBRWL and the positive control group, in each specific listening and vocabulary test. The questionnaire responses showed a positive attitude on both practices, but LBRWL showed a relatively stronger attitude.
EVALUATION OF LACTOBACILLUS REUTERI IN RIPENING OF BUFFALO MILK FETA CHEESE

Feta-type cheese was made from buffalo milk using isolated local adjunct culture of Lactobacillus reuteri along with Feta starter (Lactococcus lactis sub. lactis, Lactococcus lactis sub. cremoris and Streptococcus thermophiles). The manufactured Feta cheese was subjected to microbiological and sensory evaluation through the 60 days of ripening. pH values of the experimental cheeses were found to be significantly (P<0.05) higher than of those in control. The microbiological analyses showed a noticeable decrease in population of Staphylococcus aureus and coliforms bacteria after the first day of production, thereafter were inactivated for the rest of the ripening period. Whereas the count of lactococci and streptococci decreased gradually by the increasing of adjunct level and progressed of the ripening period. In contrast, counts of lactobacilli increased until day 15 and then decreased up to 30 days and remained constant until the end of ripening approximately 8 log cfu/g. Sensory evaluation showed that the cheese control and containing Lb.reuteri along with Feta culture were very good accepted by the sensory evaluation panelists in comparison of samples containing Lb.reuteri only.
COMPUTING OFFLOADING AND RESOURCE ALLOCATION ALGORITHM BASED ON GAME THEORY FOR IOT DEVICES IN MOBILE EDGE COMPUTING

With the explosive growth of Internet of Things (IoT) devices and the popularization of intelligent terminals, the computing resources of various new applications are intensive, and existing work oﬄoads them to mobile edge centers for computing. However, due to limitations in the coverage and resource capabilities of edge devices, there is still a problem of unbalanced load in the network. Therefore, in order to balance the load reasonably, this paper proposes a computing oﬄoading and resource allocation algorithm for IoT devices using game theory in Mobile Edge Computing (MEC). Firstly, a multi-user multi-MEC computing oﬄoading and resource allocation model is designed, which manages a large number of devices by multiple base stations and multiple MEC partitions, and models the system including computing model and task model. Then, a prediction method of MEC server waiting time is proposed according to the task queue in base stations. The task processing sequence, time and frequency are arranged to improve the calculation eﬃciency of this algorithm, which makes rational use of computing resources for devices and MEC. Finally, the problem of multi-user and multi-MEC computing oﬄoading and resource allocation is transformed into a multi-user game problem, and it is concluded that there is always a Nash equilibrium in this game problem. Furthermore, the optimal solution of this problem, that is, the optimal device computing oﬄoading and resource allocation scheme, is obtained when the system is in Nash equilibrium state. The simulation results based on MATLAB platform show that our proposed algorithm is eﬀective compared with other algorithms. It can converge reliably and has obvious optimization in energy consumption and time delay; besides the performance of this algorithm is improved.
Development and Application of Highly Sensitive Anti-immune Complex ELISAs for Microcystins in Tap Water

We developed an anti-immune complex (IC) ELISA applicable to direct determination of trace amounts of microcystins (MCs) in tap water. Comparison of two assay formats revealed that the use of anti-immune complex monoclonal antibody (MAB) in the coating step to trap anti-MC MABMC complexes improved the sensitivity as well as precision. The detection limit and quantitative range of the IC ELISA was 2 pg ml−1 and 2100 pg ml−1 of microcystinLR (MCLR), respectively, indicating the most sensitive of all the methods for detecting MCs reported to date. Additionally, the IC ELISA maintained good reliability through its quantitative range, as evidenced by low coefficients of variation (5.010.8 and 4.910.2% for intra- and interassay, respectively). The IC ELISA showed good cross-reactivity to microcystin-RR and microcystin-YR, suggesting major MCs found in the environment can be detected by this method. Recovery tests in which quantitative range of MCLR were added to tap water resulted in a mean recovery of 99%, with a mean standard deviation of 5.7%; therefore the IC ELISA performed well in the analysis of tap water samples. ELISA analysis of tap water samples collected in China and Japan revealed that, among 17 samples tested, two samples collected in China were positive for MCs at 4.914 pg ml−1. These results suggest that the newly developed IC ELISA can be used to monitor trace amounts of MCs in tap water.
SUPPLEMENTARY MATERIAL FOR “PHASE TRANSITIONS FOR HIGH DIMENSIONAL CLUSTERING AND RELATED PROBLEMS”

where 0 ≤ a ≤ 1/2 is a constant. This extended model includes the original ARW as a special case with a = 0. In this extension, we allow the nonzero coordinates of the feature vector μ to have positive and negative signs. Due to such a change, we need to slightly modify the definition of the (normalized) Hamming distance for signal recovery: Hammp(μ̂, α, β, θ) = (p p) −1∑p j=1 P (sgn(μ(j)) 6= sgn(μ̂(j))). The loss functions for clustering and hypothesis testing remain the same. When 0 < a < 1/2, with high probability, the majority of the nonzero coordinates of μ are positive, and the performance of the four methods in Section 1.1 is not affected. Furthermore, the statistical limits and CTUB for all three problems continue to hold. For brevity, we omit the details. The case of a = 1/2 is more delicate. In this case, the two aggregation methods turn out to be ineffective. In light of this, we introduce a variant of the Sparse Aggregation, where we cluster the n subjects by
Secondary Malignant Neoplasms in Patients with Primary Hypopharyngeal Squamous Cell Carcinoma: An Analysis from SEER Database

Purpose: An increasing attention has turned to the burden of secondary malignant neoplasms (SMNs) in long-term cancer survivors. The aim of this study was to describe the incidence, and survival outcomes of SMNs in primary hypopharyngeal squamous cell carcinoma (HSCC). Materials and Methods: Patients with primary diagnosis with HSCC and reported to the Surveillance, Epidemiology, and End Results (SEER) program between 1973 and 2016 were eligible for this study. Kaplan-Meier method was used to estimate the cumulative incidence of SMNs and survival rates. Standardized incidence ratios (SIRs) of SMNs after primary HSCC were also assessed. Results: A total of 8518 patients diagnosed with HSCC as their first malignancy were included (median follow-up: 142 months). 984 patients developed SMNs with a median time from primary diagnosis to an SMN diagnosis was 3.8 years. The cumulative incidences of any SMNs were 30% at 10 years, and 54% at 20 years. The top three common secondary tumors were lung, esophageal and oral cavity cancer, with cumulative incidence rates of 22%, 12% and 9% at 20 years, irrespectively. The SIR for SMNs in survivors of HSCC compared with the general population was 2.86 and 5-year overall survival (OS) rate after SMNS was 16%. Esophageal carcinoma as a SMN showed the highest SIR of 23.81 and presented with the lowest 5-year OS rate of 7%. Conclusions: Survivors of HSCC are at increased risks of developing SMNs compared with the baseline population. Patients developed oesophageal carcinoma as SMNs showed the highest SIR and shortest survival
AEROBIC BACTERIA ISOLATED FROM DIABETICS FOOT INFECTION LOCALLY AND ANTIBIOTICS INFLUENCE

Diabetic foot infection is one of the terrible complications of diabetes leading to morbidity and mortality. This study evaluated the resistance and sensitivity of isolated aerobic bacterial frequencies that were isolated from patients with diabetic food for the commonly used antibiotics to assist in identifying empirical therapy.This study aimed to determine the antibiotic sensitivity and resistance pattern to detect aerobic bacterial pathogens present in diabetes pus against 13 commonly used standard antibiotics: erythromycin, oxacillin, chloramphenicol, ciprofloxacin, vancomycin, methycillin, amoxicillin, cephoprazin, and biphenylpropionone.Forty patients with a diabetic foot infection, including 28 males and 12 females from Al Najaf center for diabetes and endocrine in Al-Sadir medical city, were clinically sampled for 5 months. All swabs from these 40 patients showed a positive culture and a total of 98 isolates were isolated. Standard aerobic microbiological techniques were used to process clinical specimens. Also the Kirby-Bauer disc diffusion method was used to study the antimicrobial susceptibility pattern.The Infections are generally due to Gram-positive bacteria. The most isolated Gram-positive bacteria was Staphylococcus aureus bacteria and streptococcus spp. followed by Staphylococcus aureus and Bacillus spp. (49%, 34%, 13%and 3%), respectively. While Proteus spp. and Pseudomonas spp. the most isolated Gram-negative bacteria followed by Escherichia coli and Klebsiella spp. and Enterobacter spp. and Acenetobacter baumannii (32%, 27%, 19%, 11%, 5% and 5%), respectively.
Disambiguation for Semi-Supervised Extraction of Complex Relations in Large Commonsense Knowledge Bases

Cognitive systems require extensive commonsense knowledge to perform well in real-world tasks. Extracting knowledge from text to populate knowledge bases (KBs) would decrease the cost of knowledge engineering and expedite the process of building KBs. However, AI systems must address several disambiguation tasks to successfully learn useful knowledge from the Web. In this work, we propose two methods: (i) We discuss how contents of the Cyc knowledge base could be used to design a similarity-based disambiguation scheme to extract knowledge from text; (ii) We show how a large Web-scale corpus could be used with the Cyc knowledge base to aid in disambiguation tasks. Preliminary results show that these methods can extract complex relations from text with good accuracy.