Miracle-dz/UniFAR-FTUs huggingface dataset:
Empirical analysis of agricultural and non-agricultural exports’impact on infrastructural investment in Nigeria

The purpose of the article is to estimate the impact of agricultural and non-agricultural exports on infrastructural investment in Nigeria. Research methods. In the research process, the following scientific methods have been used: The study adopted the Autoregressive Distributed Lag – Unrestricted Error Correction Model (ARDL-UECM) to estimate the impact of agricultural and non-agricultural exports on infrastructural investment in Nigeria. The ARDL model was estimated using Eviews 9. Research results. The regression results showed that agricultural export has a significant positive relationship with infrastructural investment while non-agricultural export was found to have an insignificant relationship with the dependent variable. Scientific novelty. This paper adds to the body of literature on this subject for the economy of Nigeria and other related economies because this is the first paper investigating the joint impact of agricultural and non-agricultural exports on infrastructural investment in Nigeria. The study makes some innovative findings and recommendations that the government should invest more in mechanised farming and as well ensure that the agricultural sector is made more viable and productive since the country has a comparative advantage in agriculture. Practical significance. Practically, this study is significant in many ways. Following the empirical results it has become practically clear that agricultural produce should not only be exported in its primary form but there should be value added in order to make Nigeria’s exports more competitive in the international market. Income generated from agricultural and non-agricultural exports by government should be properly accounted for and invested into more capital projects to boost the level of infrastructure in the Nigerian economy. Tabl. : 4. Figs.: 2. Refs.: 15.
High-Temperature Polyimide Dielectric Materials for Energy Storage

The availability of high-temperature dielectrics is key to develop advanced electronics and power systems that operate under extreme environmental conditions. In the past few years, many improvements have been made and many exciting developments have taken place. However, currently available candidate materials and methods still do not meet the applicable standards. Polyimide (PI) was found to be the preferred choice for high-temperature dielectric films development due to its thermal stability, dielectric properties, and flexibility. However, it has disadvantages such as a relatively low dielectric permittivity. This chapter presents an overview of recent progress on PI dielectric materials for high-temperature capacitive energy storage applications. In this way, a new molecular design of the skeleton structure of PI should be performed to balance size and thermal stability and to optimize energy storage property for high-temperature application. The improved performance can be generated via incorporation of inorganic units into polymers to form organic-inorganic hybrid and composite structures.
Black carbon mixing state impacts on aerosol activation investigations using particle-resolved model simulations

Black carbon-containing aerosol particles (called BC particles hereafter) are a major particle type in the atmosphere. Their source is the incomplete combustion of carbon containing material, which means that except for natural biomass burning all sources of BC particles are anthropogenic. They absorb solar radiation directly, warming the atmospheric layer where they reside. Because of the absorbing nature of BC particles and their relatively short life time compared to long-lived greenhouse gases (e.g. carbon dioxide), the reduction of BC emission has been suggested as a short-term global warming mitigation strategy. However, BC particles can also act as CCN, form cloud droplets and hence contribute to a cooling impact on climate. Both the optical properties and the CCN properties of BC particles depend on the BC mixing state, i.e. which other species are present within one BC-containing particle. The BC mixing state, in turn, evolves by so-called aerosol aging processes such as condensation of atmospheric gaseous components and coagulation with other aerosols. The climate effects of BC particles are therefore closely related to the BC mixing state and its evolution. Uncertainties regarding the representation of these processes in models are a major source of uncertainties in current climate model predictions. This dissertation focuses on studying the impact of mixing state of BC particles on cloud microphysical quantities during the early stages of cloud formation. With the recently-developed particle-resolved model PartMC-MOSAIC, the mixing state and other physico-chemical properties of individual aerosol particles can be tracked as the particles undergo aerosol aging processes. As part of this dissertation this model framework was extended, and a particle-resolved cloud parcel model was developed. This simulates the
Learning User Latent Attributes on Social Media

In recent years, there is a growing interest in using social media to understand social phenomena. Researchers have demonstrated many important applications of usingonline social media to understand real world events, such as presidential election prediction, earthquake early detection, and disaster management. A social media site is mixed with different types of users, in terms of gender, location, ideology, and etc. Different types of users may have different motivations, different opinions towards certain topics, different resources at their disposal, different behaviors in events. If researchers want to understand what is happening on a social media site, it is important to know where a post comes from, who wrote this post, and which party the authorbelongs to. However, this information is not explicitly provided by users. In this thesis, the goal is to predict users’ latent attributes such as their locations, social identities, and political orientations. Thanks to the massive text data on social media, we can learn rich knowledge from text to predict users’ attributes. In the meanwhile, text data from social media often comes with a significant amount of metadata. Furthermore, data from social networks also contains rich connection information, eg. mentioning, following. It is still a challenge task to combine text, meta data, usernetwork together for user attributes prediction.In this thesis, I approach user attributes prediction at three levels — single post, user timeline, graph-level classification. I start with a global location prediction system that uses one single tweet as input to learn one user’s location. It utilizeslocation-related features in a tweet, such as text and user profile metadata. I extend the tweet-level prediction system to user-level, which combines multiple posts in oneuser’s timeline. I demonstrate the effectiveness of this model on the task of user social identity classification. An improved user-level hierarchical location prediction model is also presented. In these described models, I mainly focus on learning user attributes from users themselves. In the next step, I consider social graph as additional information to improve performance. Users connected in a social network often show similarities in certain aspects, which is a well-known phenomenon called social homophily. Experiments demonstrate that combining a social graph dramatically improves the performance of our prediction system compared to the previous user-level method. As a case study of the attributes prediction system, I apply the method on a real world emergency event — the novel coronavirus outbreak starting from 2019. I demonstrate that we gain better understanding of the public conversation during thisglobal emergency event.
Concise Review: Knee Cartilage Repair Techniques using Cellular Therapy

Articular hyaline cartilage is a tissue whose mechanical properties allow joint movements with a low coefficient of friction and a high absorption of constraints. Degradation of hyaline cartilage causes functional impairment of the joint, pain and decreased quality of life. In the case of isolated cartilage lesion of the knee, a remedy that allows histological restoration of cartilage and therefore a functional improvement for the long-term represents a therapeutic challenge. The hyaline cartilage is organized into four distinct layers. It is a non-vascularised and non-innervated tissue [1] composed of chondrocytes, which come from the undifferentiated mesenchymal stem cells, immersed in an extracellular matrix. This matrix synthesized by chondrocytes consists mainly of water, electrolytes, collagen (type II mainly, IX and XI), proteoglycans (aggrecan) and glycoproteins. Production of the extracellular matrix is a function of various parameters such as growth factors, intra-articular mechanical stress, hormones or age.
Physicochemical evaluation of lake water in vicinity of Nagpur city.

Lake water samples from the vicinity of Nagpur city were subjected to quality parameters. Range of pH, temperature and conductivity remained in between 7.8 – 9.01, 31 – 32.2 0 C and 15 – 68 µs/cm, respectively. Colour criterion was normal for six sources, however, four samples appeared to be yellowish to green. The results of chemical parameter tested were as follows: dissolved O 2 - 0.7 – 2.6 mg/l, dissolved CO 2 – present in three samples, total alkalinity - 24 – 53 mg/l, total hardness - 8 – 28 ppm, permanganate value - 0.4 – 10.4 ppm, chlorides - 0.004 – 0.129 mg/l. , nitrate - 0.5 – 4 mg/l. , phosphates - 0.00 – 2.94 mg/l. - sulphates - 0.07 – 1.54 mg/l. All the samples were negative for the presence of nitrites.
Push and pull factors impacting visitors’ loyalty: A case of Saigon Zoo and Botanical Gardens

push-pull factors, motivations, park tourism, Saigon Zoo, Botanical Gardens This paper aims to build and test the model of the relationship between push and pull factors and visitors’ loyalty to botanic park, a case of Saigon Zoo and Botanical Gardens in Vietnam. The previous studies were used to build and then test the model in which 185 usable responses from botanic park visitors were analyzed among 200 collected responses. The findings contribute to the current literature of park tourism by indicating that push (β = .246) and pull (β = .619) factors have a direct impact on visitors’ loyalty.
What Matters for Consumer Sentiment? World Oil Price or Retail Gasoline Price?

This paper examines the impact of oil supply and demand shocks on gasoline prices and consumer sentiment in the Euro Area. Results reveal that aggregate consumer sentiment and its components deteriorate notably as a response to positive shocks to real gasoline prices. On the contrary, positive oil-specific demand shocks do not trigger a deterioration of consumer sentiment. In other words, consumer sentiment is affected primarily by unexpected changes in gasoline prices at the pump rather than unexpected changes in crude oil prices. The analysis is further refined to analyze the effects of these shocks to six subcomponents of consumer sentiment.
Hygienic Practice of Complementary Food Preparation and Associated Factors among Mothers with Children Aged from 6 to 24 Months in Rural Kebeles of Harari Region, Ethiopia

Introduction: Evidence shows that 10 to 20% of food-borne outbreaks perceptible in developing countries. The objective of this study was to assess the magnitude of hygienic practice of complementary food preparation and associated factors among mothers with children aged from 6 to 24 months in rural kebeles of Harari region, Ethiopia. The Method is a community based cross-sectional study design which was implemented on 422 of sampled mothers. Simple random sampling method was used to select those study participants. The data was collected using pre-tested and structured questionnaires. Data was processed, coded and entered into epi data version 3.02, exported to SPSS Version 20 and analyzed. Odds ratio along with 95% CI was estimated to measure the strength of the association. Finally, level of statistically significant was declared at P-value <0.05. From the result of this study, the status of good hygienic practice of mothers was (39.6%) [95% CI (confidence interval): 34.60, 43.90]. Lack of formal education [AOR (adjusted odds ratio): [AOR=0.177, 95% CI: (0.044, 0.75)], learning grade 1-8 [AOR=0.214, 95% CI: (0.052, 0.872)], age group of 25-30 years [AOR=6.51, 95% CI: (1.38, 30.50)], income ≥ 1000 ETB [AOR = 2.19, 95% CI: (1.354, 3.55)] and the presence of separate kitchen [AOR=0.594, 95% CI: (0.390, 0.906)] were significantly associated with complementary food preparation practice. The prevalence of good hygienic practice of complementary food preparation among of mothers was low in this study. Hence, the concerned stakeholders in collaboration with Harar health bureau need to facilitate awareness raising activities on hygiene practice which help to prevent food borne.
Influence of Various Levels of Zinc and Sulphur on Storage Proteins and Protein Quality of Lentil (Lens culinaris) Varieties

India is the largest producer, consumer, importer and processor of pulses in the world. Pulses are the basic ingredient in the diets of a majority of the Indian population, as they provide a perfect mix of vegetarian protein component of high biological value when supplemented with cereals (Ali and Gupta, 2012). Lentil (Lens culinaris Medik.) is one of the most nutritious cool season food legumes and ranks next only to chickpea. It is grown throughout the northern and central India for grains. Besides its utilisation as a dal, whole or dehulled grains are also used in various other preparations. It is one of the prominent sources of vegetable protein in the IndoGangetic plain (IGP) region, essentially grown as a rainfed crop on the residual soil moisture of preceding crop (rice in-general) (Ali et al., 2012 and Joshi 1998).
Reconstructing the phylogeny of new world monkeys (platyrrhini): evidence from multiple non-coding loci

Abstract Among mammalian phylogenies, those characterized by rapid radiations are particularly problematic. The New World monkeys (NWMs, Platyrrhini) comprise 3 families and 7 subfamilies, which radiated within a relatively short time period. Accordingly, their phylogenetic relationships are still largely disputed. In the present study, 56 nuclear non-coding loci, including 33 introns (INs) and 23 intergenic regions (IGs), from 20 NWM individuals representing 18 species were used to investigate phylogenetic relationships among families and subfamilies. Of the 56 loci, 43 have not been used in previous NWM phylogenetics. We applied concatenation and coalescence tree-inference methods, and a recently proposed question-specific approach to address NWM phylogeny. Our results indicate incongruence between concatenation and coalescence methods for the IN and IG datasets. However, a consensus was reached with a single tree topology from all analyses of combined INs and IGs as well as all analyses of question-specific loci using both concatenation and coalescence methods, albeit with varying degrees of statistical support. In detail, our results indicated the sister-group relationships between the families Atelidae and Pitheciidae, and between the subfamilies Aotinae and Callithrichinae among Cebidae. Our study provides insights into the disputed phylogenetic relationships among NWM families and subfamilies from the perspective of multiple non-coding loci and various tree-inference approaches. However, the present phylogenetic framework needs further evaluation by adding more independent sequence data and a deeper taxonomic sampling. Overall, our work has important implications for phylogenetic studies dealing with rapid radiations.
To Herd or Not to Herd: Do Intangible Assets Affect the Behavior of Financial Analyst Recommendations?

Abstract The extent to which financial analysts provide “herd” rather than “bold” (or anti-herd) earnings forecasts has important implications for market efficiency. Identifying any contributing factor(s) for financial analyst herding behavior can lead to policies to help reduce such harmful conduct. Our 2 proxies for intangible asset intensity are found to have a differential impact on analyst herding behavior. More specifically, increases in firm-specific reported balance sheet intangible assets (level of patents granted) are associated with heightened (reduced) herding behavior. Our findings highlight the need for regulatory reforms such as more transparent disclosure, and standardized accounting treatment to better capture a firm’s investment in intangible assets in their financial statements.
The Effectiveness of Collaborative Teaching Method in Teaching Calculus I

The collaborative teaching method is a method that requires students working together in groups to solve problems to perform better in their studies. This paper aims to determine the method’s effectiveness in teaching Calculus I in UiTMCJ. Some students were chosen to participate in this study. They were taught Calculus I using this method and were assessed by using pre-assessment and post-assessment questions. The scores were analyzed using the paired T-test method. The results suggest that this method is effective to be used to teach Calculus I in UiTMCJ. Keywords: Collaborative teaching; Calculus I; concept, paired T-test. eISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5iSI1. 2319
Evaluation of the potential toxicity of haloperidol, clozapine and a new putative antipsychotic molecule, PT-31, in an alternative toxicity model, C. elegans

Schizophrenia is a disabling mental illness that affects approximately 1% of the world population. The treatment of this disorder is based on two generations of substances, typical antipsychotics, such as haloperidol, and atypical antipsychotics, such as clozapine, which can cause severe adverse effects. Therefore, the development of novel molecules that are safe and efficacious to treat the disease is crucial. PT-31 is a putative α2-adrenoceptor agonist effective against schizophrenia positive and cognitive symptoms in mice. C. elegans is an alternative model that has been successfully used to investigate the toxicity of a variety of substances. The present study aimed to evaluate the potential toxicity of the new molecule PT-31 and the antipsychotics haloperidol and clozapine in C. elegans. The evaluation was carried out based on toxicity endpoint tests, survival, developmental and behavioral assays. The antipsychotics haloperidol and clozapine decreased nematode survival by 30 and 40%, respectively, exposing the potential toxicity of these substances whereas PT-31 was safer based on this parameter. Similar results were obtained in the nematode developmental assay: haloperidol and clozapine significantly reduced nematode body length and area, whereas PT-31 preserved the normal development of the nematodes. The behavioral assessment was based on the frequency of body bends; none of the antipsychotics affected the locomotion rate of the nematodes, and PT-31 also did not compromise this parameter, demonstrating the safety of this new compound and reinforcing the recognized toxicity of antipsychotics.
Effect of Restricted Suckling on Growth Performance and Behaviour of Crossbred Piglets

Present study was planned to acclimatize the pre-weaned piglet for stress tolerance through restricted suckling with or without mother’s visibility for improved piglet and through stress tolerance. For this, 244 piglets from 36 pregnant crossbred sows (Landrace × Desi), with 18 sows each, during summer season having 147 piglets and during winter season having 97 piglets were used. Eighteen sows along with their piglets were randomly distributed in 3 treatment groups viz. T0 (No restriction), T1 (restricted suckling with mother’s visibility) and T2 (restricted suckling without mother’s visibility) for the above said study for 3 months. A total of 15 minutes time was allotted for suckling of piglets in T1 and T2 group. Different records pertaining to body weight, feed intake, behaviour and growth parameter of piglets were recorded up to 3 months of age. At the end of the study period, body weight of piglets showed non-significant difference between the treatment groups. Grower feed intake during post-weaning (after 42 days) period showed significant difference (P less than 0.01) during winter season with highest value observed in T2 group. In rest of the period, non-significant difference was observed for all the treatment groups both during summer and winter season. Higher values for suckling behaviour was recorded for T1 and T2 groups than T0. From the present study, restricted suckling without mother’s visibility may be recommended at farm level for quick adaptation of piglets after weaning.
Response of direct seeded rice to increasing rates of nitrogen, phosphorus, and potassium in two paddy rice soils

The rice (Oryza sativa L.) crop is very important worldwide for its contribution to human nutrition. Rice grain yield depends on several agronomic management factors that must also be adjusted to the cropping system such as permanent inundation (anaerobic conditions) or direct seeding (aerobic and anaerobic conditions) mainly in response to the application of nutrients such as N. In Chile, the cropping system with direct seeding has limited agronomic and scientific development. The objective was to determine the effect of increasing N (0, 40, 80, 120, and 160 kg ha-1), P (0, 30, 60, and 120 kg P2O5 ha-1), and K (0, 30, 60, and 120 kg K2O ha-1) rates on grain yield and N agronomic efficiency (NAE) (kg grain produced per kg N applied) in two paddy rice soils for two consecutive seasons. Grain yield had a positive response to increasing N rates in the two evaluated soils (grain yield increased from 6.7 to 8.9 Mg ha-1 in the Vertisol and from 7.4 to 11.0 Mg ha-1 in the Alfisol) and a low response to P rates in the Vertisol. The Alfisol showed no response to increasing P rates, and both soils had no response to K application. The N rates that obtained the highest rice grain yield were 120 and 160 kg ha-1 for Alfisol and Vertisol, respectively. The P rate that obtained the highest rice yield in the Vertisol was 30 kg ha-1 P2O5. In addition, NAE values associated to those N rates were 74 and 61, respectively. In conclusion, direct seeding in rice cropping had a response to high rates of applied N, low response to P, and no response to K.