Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of application of biochar and straw on sustainable phosphorus management

Abstract. Excessive use of phosphorus (P) in farmland soil and improper disposal of crop residues such as straws accelerate the consumption of P resources and cause a high level of air and water pollution, which are the main limiting factors for sustainable agricultural development. The most important alternative is the introduction of organic fertilizers to replace mineral P fertilizer. However, the type of organic fertilizers and management methods differ significantly. In this study, we used solution 31-P nuclear magnetic resonance spectra and Hedley fractionation method to characterize the P compounds in the initial soil (in 2013; CK0), long-term unfertilized (CK) soil, and the soils treated with N+P+K mineral fertilizer (NPK), biochar in combination with NPK fertilizer (CNPK), and corn straw in combination with NPK fertilizer (SNPK). The results showed that adding biochar significantly increased the concentration of P. However, Olsen-P was found to be the highest (21.88 mg kg−1) in SNPK. The concentration of Hedley-P was the highest (574.76 mg kg−1) in CNPK. The inorganic P forms were significantly increased by adding biochar (up to 183.9 %). The concentration of orthophosphate is positively relative to Resin-P, NaHCO3-inorganic P (Pi; organic P (Po)), NaOH-Po, and Residual-P, which are absorbed and utilized to plants and microorganisms. Adenosine monophosphate (AMP) and inositol hexakisphosphate (IHP) are potential sources of P. Compared to the direct application of straw, adding biochar increases the available P in the different soil and reduces environmental pollution.
Recovery of gold from mining solutions using Au(III)-imprinted polymeric resins with pyridine, ethylenediamine and aminothiophosphate functionalities

New Au(III)-ion-imprinted polymers (Au(III)-IIPs) with pyridine (4-VP), ethylenediamine (EDA) or aminothiophosphate (ADT) functionalities were prepared and employed in recovering Au(III) ions from aqueous media. These polymers demonstrated good adsorption capability for Au(III) ions owing to their faster kinetics adsorption, higher capacity and good recyclability. The Au(III) ions kinetic data fitted well to pseudo-second-order rate equation. The equilibrium data were best described by the Langmuir isotherm, with the maximum adsorption capacity of 418.41, 393.70 and 189.75 mg g–1 for IIPs with 4-VP, EDA and ADT, respectively. The IIPs displayed excellent recognition towards Au(III) in its binary systems with Pb(II), Ni(II), Cu(II), Mn(II) and Fe(III), Pt(IV) and Pd(II). The suitability of the developed IIPs for selective recovery of Au(III) in real leach liquor samples and acid mine drainage spiked with standards was successfully demonstrated.
Are You Still Interested in This Item? Field Evidence on the Effectiveness of Onsite Retargeting

Onsite retargeting is a type of targeting and product recommendation strategy typically offered on the homepage of online retailers based on customers’ prior behavior on retailers’ own websites. Onsite retargeting consists of a retargeted product that consumers previously interacted with and the recommendations based on the retargeted product. While onsite retargeting presents a fertile opportunity to address customers in a personalized manner, little is known about how its effectiveness varies depending on the choice of the retargeted product and how customers respond to the retargeted versus recommended products. In collaboration with a leading online retailer, we collected data from a large-scale randomized field experiment to examine the effectiveness of wishlist-based retargeting (retargeting based on products in consumer’s wishlist) compared to commonly used view-based retargeting (retargeting based on viewed products). Our empirical results suggest that wishlist-based retargeting is more effective than view-based retargeting in generating clicks and conversions for the retargeted (source) products. However, the incremental effectiveness of wishlist-based retargeting declines for recommended products. In addition, we find that onsite retargeting loses effectiveness as time passes, but this negative timing effect is smaller for wishlist-based retargeting than view-based retargeting. We further conduct an online experiment that replicates the findings of the field experiment and explores the mechanisms underlying the observed behaviors. This work contributes to the retargeting and personalized recommendations literature and provides meaningful implications for practitioners.
Pengaruh Religiusitas dan Pengetahuan terhadap Keputusan Menabung di Bank Syariah dengan Minat Sebagai Variabel Intervening

Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh religiusitas dan pengetahuan terhadap keputusan menabung di bank syariah dengan minat sebagai variabel intervening (study pada bank syariah Indonesia kota Palembang). Dalam penelitian ini data dikumpulkan dengan meyebarkan kuesioner terhadap 180 responden nasabah dan non nasabah di kota palembang menggunakan metode explanatory research untuk mengetahui tanggapan responden terhadap variabel yang ada. Analisis dilakukan dengan menggunakan metode Structural Equation Modelling (SEM) berbasis Analysis of Moment Structure (AMOS 21). Hasil analisis menunjukkan bahwa religious berpengaruh positif signifikan terhadap keputusan menabung di Bank Syariah, pengetahuan berpengaruh positif dan signifikan terhadap keputusan menabung di Bank Syariah, Dan variabel Minat berpengaruh positif dan signifikan dalam mediasi antara religiusitas dan pengetahuan terhadap keputusan menabung di bank syariah dengan minat sebagai variabel intervening.
Credit Market Competition and Bank Capitalization

We document that within regional U.S. mortgage markets an increase in competition exerts differential effects on banks with large and small market shares. Large market share banks reduce capitalization and increase risk taking as a response to an increase in the intensity of competition, while small market share banks enhance capitalization and reduce risk taking. These results are tied to market shares and not driven by bank size or the level of concentration within local regional markets.
Customer well-being in Banking Industry: Conceptualization and Antecedents

The current study aimed to apply the psychological life space theory to provide a comprehensive framework for the conceptualization of customer well-being in banking field. A grounded theory including open, axial and selective coding was employed. Theoretical sampling was applied to select candidates for an in-depth interview; data gathering was done by purposive sampling followed by selective sampling. By following a qualitative approach, a deeper insight was provided in regard to the role of banks in a variety of customers’ life domains. It was revealed that, primary brand associations could enhance customer well-being by affecting six customers’ life subdomains including, consuming, social, community, business, religious and daily life. Besides, it was found that five different images, namely, brand image, self-image, user image, bank’s employee image and bank’s competitor image inside customers’ mind, could contribute to the changes in the customer well-being. This study contributes to the literature, by proposing a new framework including new concepts and consequently, new relationships. Managerial implications along with limitations are discussed, as well.
Retracted: Economic viability in free-range chicken production

Abstract Despite the lack of large-scale farming of free-range chickens in Brazil, their production generates income in the countryside and prevents exodus of rural families in agricultural regions. The objective of this study is to evaluate the economic viability of free-range broiler production in different facilities. The experiment was conducted in two different sheds (masonry shed-SM and wooden shed-SW) located in the Plural Space of the Universidade Federal do Vale São Francisco, municipality of Juazeiro, BA. Here, 200 heavy red French free-range chickens were distributed in the two sheds and were raised from the 1st to the 88th day (slaughter). Assuming that the minimum age for slaughter is 85 days, the results indicated that at least 205 birds in SM and 217 birds in SW were necessary for the producer to earn the minimum per capita monthly wage in Brazil (2020); at least 411 birds in CG and 600 birds in GM were found to be necessary to achieve maximum productivity at the end of the production cycle. The maximum profitability in the slaughter of the chickens was achieved at an age of 60 days.
Assessment Knowledge of Diabetic Patients towards Prevention of Diabetic Retinopathy at the Endocrinology and Diabetes Center in Basra City

Objectives: The study goals to: To assess diabetic patients’ knowledge of diabetic retinopathy (DR), toassess the knowledge of diabetic patients regarding the prevention of diabetic retinopathy and to find out therelationship between the level of knowledge regarding the prevention of diabetic retinopathy and clinicalsocio-demographic characteristics.Methodology: A cross-sectional study design was performed though out the present study for periodfrom 1st December 2020 to 20st March 2021. A non - probability purposive sample of 100 patients at theEndocrinology and Diabetes Center in Basra City. Data were collected through the questionnaire constructedand the self-management reporting process. The questionnaire consists of three parts: social and clinicaldemographic characteristics (age, gender, marital status, educational level, occupation, the environment,economic Status, duration of illness, type of diabetes mellitus, A family history of diabetes, type of treatmentfor diabetes and history of eye disease). The second part consist of questionnaire contain questions relatedto general information regarding knowledge of diabetic patients about diabetic retinopathy. The third partcontains questions related to the prevention of diabetic retinopathy in patients with diabetes. The validityof the tool content was determined by a committee of experts, and the internal consistency of the tool wasdetermined through a pilot study and the calculation of the alpha correlation coefficient (r = 0.70). Analyzingdata by descriptive and inferential statistical approaches using (SPSS) version 22.0. Results: The results of the study showed that (55%) had a poor level of knowledge regarding diabeticretinopathy, and (50%) had a moderate level of knowledge regarding the prevention of diabetic retinopathy.
Intangible assets and the cross-section of stock returns

We examine whether intangible assets are priced in the cross-section of stock returns. We find that intangible asset intensity has more explanatory power than size, value, profitability, and investment. An intangibles-based long-short factor has a higher Sharpe ratio than these established factors. Adding the intangible factor to the Fama-French five-factor model improves the description of average returns and makes the investment factor redundant. The intangible factor is distinct from traditional growth strategies, provides a hedge to value and quality strategies, and expands investors’ opportunity sets. Intangible intensity as characteristic is more important than as risk factor, consistent with intangibles-based mispricing.
Are things getting better with an executive specialist? The case of M&A

This paper investigates the impact on deal outcomes of the presence of M&A top executives with a job title related to external growth. Using a sample of 10,818 US deals between 1993 and 2019, our results show that such presence is negatively associated with bidder gains. These bidders also experience lower post-acquisition operating performance, as well as lower investment efficiency. This negative effect is associated with a change in firms' acquisition strategy. More specifically, we find evidence that the presence of M&A top executives reduces the propensity to acquire tech targets and to differentiate the firm from existing competitors. We also find that this institutionalization of the M&A function occurs mainly in mature companies. Taken together, these results suggest that M&A top executives are appointed in companies at a mature stage of their life cycle, when the need for innovation and differentiation is less pronounced, resulting in deals that create less value.
Incongruent long‐term trends of a marine consumer and primary producers in a habitat affected by nutrient pollution

Nutrient pollution, de ﬁ ned as excess nitrogen and phosphorus related to human activities, is a widespread anthropogenic impact that decreases water quality and limits light penetration in estuarine habitats. These factors can lead to shifts in primary producer communities, but the association between these changes and marine consumer patterns of abundance and growth is relatively unknown. Understanding these relationships is necessary for herbivorous species of conservation concern like the green turtle ( Chelonia mydas ). We used generalized additive models to analyze concurrent 18-yr data sets of seagrass cover, drift macroalgae cover, juvenile green turtle abundance, and growth to (1) evaluate long-term trends in primary producer cover and green turtle demographics; and (2) gain insights into their interrelatedness at a study site known to be affected by nutrient pollution throughout the study period. We found that seagrass cover sharply declined during our study period while macroalgae cover was more resilient with trends varying over time. Juvenile green turtle abundance slowly declined throughout the study period with altered intra-annual trends, while growth rates remained relatively stable. The incongruence of these trends suggests that relationships between marine consumers and nutrient pollution are more complex than effects on food availability alone. Our results focus on the green turtle but highlight the need for greater understanding of relationships between marine consumer species and nutrient pollution at both local and regional scales.
Deep Learning Method for Quantitative Analysis of Covid -19 using CT Chest Images

The manual diagnostic tests performed in laboratories for pandemic disease such as COVID19 is time-consuming, requires skills and expertise of the performer to yield accurate results. Moreover, it is very cost ineffective as the cost of test kits is high and also requires well-equipped labs to conduct them. Thus, other means of diagnosing the patients with presence of SARS-COV2 (the virus responsible for COVID19) must be explored. A radiography method like chest CT images is one such means that can be utilized for diagnosis of COVID19. The radio-graphical changes observed in CT images of COVID19 patient helps in developing a deep learning-based method for extraction of graphical features which are then used for automated diagnosis of the disease ahead of laboratory-based testing. The proposed work suggests an Artificial Intelligence (AI) based technique for rapid diagnosis of COVID19 from given volumetric CT images of patient’s chest by extracting its visual features and then using these features in the deep learning module. The proposed convolutional neural network is deployed for classifying the infectious and non-infectious SARS-COV2 subjects. The proposed network utilizes 746 chests scanned CT images of which 349 images belong to COVID19 positive cases while remaining 397 belong negative cases of COVID19. The extensive experiment has been completed with the accuracy of 98.4 %, sensitivity of 98.5 %, the specificity of 98.3 %, the precision of 97.1 %, F1score of 97.8 %. The obtained result shows the outstanding performance for classification of infectious and non-infectious for COVID19 cases.
LOW-FIELD NMR METHOD FOR ANALYSIS OF HEAVY OILS WITHOUT EXTRACTION OF ASPHALTENES

For the analysis of heavy oil samples of the Ashalchinskoye deposit the combined nuclear magnetic resonance (NMR) method to measure the free-induction decay (FID) together with the Carr-Purcell-Meiboom-Gill (CPMG) echo signal’s decay was used. The measurements were carried out on a NMR analyzer Chromatek-Proton 20M, operating at a frequency of 20 MHz. Special control program was created on the NMR analyzer, which automatically tunes and measures full FID curve, then switches to measuring the echo amplitudes decay by the CPMG pulse sequence, and the study is completed by co-processing together all experimental data. This technique makes it possible to measure the amplitudes of the NMR signals and the relaxation times T2 of the protons of heavy oil components in situ, including asphaltenes, without introducing any perturbations into the analyzed system. Under the influence of paramagnetic centers included to the composition of asphaltene, mainly vanadyl complexes on EPR data, the amplitude-relaxation characteristics of protons in the samples are divided into 6 groups related to solid asphaltenes (in crystalline and amorphous states), resins (high and low density), aromatic and saturated compounds. The amplitudes of NMR signals characterize the content of these fractions in the sample, and the relaxation times are determined by the mobility of molecules and the dynamics of their exchange between fractions. The proposed NMR method is promising for on-line monitoring the technological processes of heavy oil mining, transportation and processing under real conditions on temperature, pressure and the presence of dissolved gases, provided that the design of NMR sensor is adapted to industrial applications.
Deep Insights of Erroneous Bengali–English Code-Mixed Bilingual Language

ABSTRACT Code-switching, the combination of more than one language within a single utterance is popular in social media sites for informal communication, generating a huge amount of data, though not fully analysed for knowledge extraction due to lack of documentation. Moreover, the code-mixed data is erroneous, and to detect and correct different types of errors, the model requires large erroneous code-mixed language data, not publicly available. This paper first defines generic rules to write Bengali–English code-mixed language in English script, considering the inherent complexity of the Bengali language. Different types of typographical and cognitive errors are induced to obtain the huge erroneous data, based on human behaviour and perception as consulted with the language experts. The errors considered here are applicable to other code-mixed Indic languages and would be beneficial for the researchers. To demonstrate the applicability of the model, we have included the errors in the Hindi–English code-mixed Indic language. An attention-based two-level deep network architecture (uses LSTM as a basic unit) is used for error detection, correction, and translation of code-mixed sentences into a monolingual sentence. Results are reported in terms of accuracy, ROUGE score, and BLEU scores at word level and sentence level for both Bengali–English and Hindi–English code-mixed languages.
Competition between Energy Transfer and Energy Migration Processes in Neat and Eu3+-Doped TbPO4

The luminescence spectroscopy of various TbPO4, EuPO4, and TbPO4:Eu3+ polycrystalline materials has been systematically investigated upon near- and vacuum-UV excitation. Evidence was found for an efficient overall Tb3+ → Eu3+ energy transfer in TbPO4:Eu3+. Upon UV excitation, this process leads to a significant change in the resulting emission color of the materials from green to red even for low europium doping levels. The efficiency of the transfer at room temperature was evaluated. Fast migration among Tb3+ ions in the Tb3+-based materials was also observed, which in the case of TbPO4 causes partial luminescence quenching due to energy transfer to killer centers.
Low Pressure Tube Transport—An Alternative to Ground Road Transport—Aerodynamic and Other Problems and Possible Solutions

This paper presents the concept of one possible but unconventional implementation of a Low Pressure Tube Transport (LPTT) system for a network with station-to-station distances of 300 km, based on the use of circular tunnels in which modular vehicles consisting of three interconnected functional segments move on wheels with airless tires. The physical limitations associated with high-speed vehicle travel in tunnels are presented. The reasons for the expected inconvenience in the travel system, compensated by short travel times, are justified. Assumptions for the use of locomotion, safety, and passenger segments in the construction of a vacuum modular vehicle are presented, as well as systems to ensure the efficient conversion of serial traffic in tunnels to parallel traffic in station areas. Schemes of station construction and traffic organization in the station area are presented, as well as assumptions for a number of systems increasing the safety of vehicle traffic used in emergency situations. Visualizations of some solutions are presented. Details of the construction of a locomotive segment based on a multi-wheel system of airless wheels with the use of a system of linear motors for acceleration and an inertial drive system between them to reduce its weight are presented. Some conclusions from tests conducted on built simulators, mechanical and virtual, of the passenger segment of a vacuum vehicle are discussed.
Effect of Task Value on Employee Job Satisfaction in Benue State, Nigeria: A Study of Board of Internal Revenue Service

: This study investigated the effect of task value on employee job satisfaction in Board of Internal Revenue Service. The study sought to achieve the following specific objectives: to examine the effect of attainment value, interest value and utility value on employee job satisfaction in Board of Internal Revenue Service in Makurdi metropolis, Benue State. The survey design is adopted and questionnaires used for data collection. The population for this study is 207 employees of Board of Internal Revenue Service in Makurdi metropolis. Census sampling was adopted and 207 questionnaires were issued out of which 180 were properly answered and returned for analysis. Data were statistically analyzed after being collected from the field using Multiple Regression Analysis as the main statistical tool with the aid of SPSS to explain the extent of effect of independent variables on the dependent variable. The result of multiple regression analysis established significant effect of attainment value, interest value and utility value on employee job satisfaction in Board of Internal Revenue Service in Benue State, Nigeria. The study concludes that employees are more satisfied with their jobs when tasks performed are important, interesting, and useful to them. Interestingly, results showed utility value to have the largest effect on employee job satisfaction, indicating that tasks with high utility values contribute most significantly to employee job satisfaction in Board of Internal Revenue Service in Benue State, Nigeria. Based on the research findings, this study recommends among others that management should provide realistic information at the start of the job; they should make sure the employees can perceive the utility value of their task given that tasks with high utility values contribute most significantly to employee job satisfaction.