Miracle-dz/UniFAR-FTUs huggingface dataset:
Approaching 18% efficiency of ternary organic photovoltaics with wide bandgap polymer donor and well compatible Y6 : Y6-1O as acceptor

Abstract A series of ternary organic photovoltaics (OPVs) are fabricated with one wide bandgap polymer D18-Cl as donor, and well compatible Y6 and Y6-1O as acceptor. The open-circuit-voltage (VOC) of ternary OPVs is monotonously increased along with the incorporation of Y6-1O, indicating that the alloy state should be formed between Y6 and Y6-1O due to their excellent compatibility. The energy loss can be minimized by incorporating Y6-1O, leading to the VOC improvement of ternary OPVs. By finely adjusting the Y6-1O content, a power conversion efficiency of 17.91% is achieved in the optimal ternary OPVs with 30 wt% Y6-1O in acceptors, resulting from synchronously improved short-circuit-current density (JSC) of 25.87 mA cm−2, fill factor (FF) of 76.92% and VOC of 0.900 V in comparison with those of D18-Cl : Y6 binary OPVs. The JSC and FF improvement of ternary OPVs should be ascribed to comprehensively optimal photon harvesting, exciton dissociation and charge transport in ternary active layers. The more efficient charge separation and transport process in ternary active layers can be confirmed by the magneto-photocurrent and impedance spectroscopy experimental results, respectively. This work provides new insight into constructing highly efficient ternary OPVs with well compatible Y6 and its derivative as acceptor.
Utilization of MoS2 Nanosheets To Enhance the Photocatalytic Activity of ZnO for the Aerobic Oxidation of Benzyl Halides under Visible Light

Semiconductors are the low cost and recyclable photocatalysts for visible-light photoredox catalysis, which is one of the prospective ways to convert solar energy to chemical energy in organic synthesis. This study reports a new MoS2/ZnO composite for the aerobic oxidation of benzyl halides under visible light. Despite the limited intrinsic activity of the ZnO alone, we found that the introduction of a small amount of MoS2 nanosheets (4 wt %) could significantly improve the catalytic performances of the ZnO in visible-light photoredox catalysis.
Relationship between the economy, construction sector and imports in Nigeria

Abstract Increase in construction output through infrastructure development increases economic development. However, construction sectors in developing countries are import-dependent, and current knowledge has suggested that the dependence needs to be reduced to enhance the sector’s contribution to economic development. To demonstrate that this knowledge is applicable in the Nigerian construction sector, this study was aimed at establishing a relationship between economic development, construction sector output and imports using time series data covering a forty-seven-year period (1970-2016). The study used econometric methodology involving tests for stationarity, cointegration, causality and exogeneity. From the findings, the evaluation of the relationship between the economy and construction sector output produced a linear relationship when construction sector import was excluded from the analysis, and when it was included, the construction sector output Granger cause construction sector imports. The study concluded that relationship between the economy and construction sector output has an impact on construction sector import in Nigeria. The implication was that economic and construction production policies could be employed to influence construction sector imports in Nigeria, and other developing countries whose construction sectors are import-dependent.
Effect of Picking Stages on Seed Quality of Okra (Abelmoschus esculentus L. Moench)

The present study was carried out in the field of Department of Seed Science and Technology, CCS Haryana Agricultural University, Hisar, Haryana during 2018-2019 to investigate the effect of picking stages on seed quality of okra. The okra plant was divided in three parts on the basis of node numbers which constitutes 1 st to 5 th nodes as part1 and 6 th to 10 th nodes as part 2 and 11 th to 15 th nodes as part 3 respectively. The parameters recorded during the study was flowering at 1 st , 6 th and 11 th node, fruit length at maturity, seed yield per fruit, test weight of 1000 seeds and number of seeds per fruit at harvesting. The study suggested that the picking of fruits developed on middle nodes (6 th to 10 th ) showed higher values for parameters recorded as compare to lower (1 st to 5 th ) and upper nodes (11 th to 15 th ).
TEACHING MODELS FOR CHILDREN WITH MODERATE INTELLECTUAL DISABILITIES DURING COVID-19 PANDEMIC

Abstract:This study aims to analyze learning models appropriate for children with moderate intellectual disabilities during the COVID-19 pandemic because all learning in schools turn into distance learning. This period is very crucial, especially for children with moderate learning disability in learning. This research used a qualitative method with a case study. Data collection was done through in-depth interviews and observations. The subjects were two special education teachers, a homeroom teacher, and two parents of children with moderate intellectual disabilities. Thematic analysis was used to interpret the research findings. In this study, the answers of parents and teachers as respondents were evaluated. The results showed a suitable learning model to use during this pandemic was a project-based individual learning model. Teachers could provide a simple project containing soft skill and hard skills for children with intellectual disabilities controlled under their parents' supervision. The focus of learning was not on achieving cognitive abilities as in general, but on how they could be skilled and independent in carrying out activities. The findings of this research could provide teachers and parents with solutions in guiding learning activities for children with moderate intellectual disabilities, especially during the COVID-19 pandemic.Abstrak:Penelitian ini bertujuan untuk menganalisis model pembelajaran yang sesuai untuk anak tunagrahita sedang pada saat pandemi COVID-19 karena semua pembelajaran di sekolah berubah menjadi pembelajaran jarak jauh. Periode ini sangat krusial, terutama bagi anak-anak dengan ketidakmampuan belajar sedang dalam belajar. Penelitian ini menggunakan metode kualitatif dengan studi kasus. Pengumpulan data dilakukan melalui wawancara mendalam dan observasi. Subjek penelitian ini adalah dua orang guru pendidikan luar biasa, seorang wali kelas, dan dua orang tua anak tunagrahita sedang. Analisis tematik digunakan untuk menafsirkan temuan penelitian. Dalam penelitian ini, jawaban orang tua dan guru sebagai responden dievaluasi. Hasil penelitian menunjukkan model pembelajaran yang sesuai untuk digunakan selama pandemi ini adalah model pembelajaran individu berbasis proyek. Guru dapat memberikan proyek sederhana yang berisi soft skill dan hard skill untuk anak tunagrahita yang dikendalikan di bawah pengawasan orang tua. Fokus pembelajaran bukan pada pencapaian kemampuan kognitif seperti pada umumnya, tetapi pada bagaimana mereka bisa terampil dan mandiri dalam melakukan aktivitas. Temuan penelitian ini dapat memberikan solusi kepada guru dan orang tua dalam memandu kegiatan pembelajaran bagi anak tunagrahita sedang, khususnya pada saat pandemi COVID-19.
Demineralization of Food Waste Biochar for Effective Alleviation of Alkali and Alkali Earth Metal Species

Ash-related issues from a considerable amount of alkali and alkaline earth metal species in biochar are major obstacles to the widespread application of biomass in thermoelectric plants. In this study, food wastes were converted into biochar through pyrolysis at 450 °C or 500 °C and four different demineralization approaches, using deionized water, citric acid, nitric acid, and CO2 saturated water. The chemical properties of the resulting biochars were investigated, including proximate analysis, concentrations of inorganic species in biochar and ash, and the crystalline structure. All demineralization treatments produced food waste biochar with sufficient calorific value (>4000 kcal/kg) and a chlorine concentration <0.5%. Among the inorganic species in biochar, Na and K exhibited a significantly higher removal rate through demineralization, which ranged from 54.1%–85.6% and 53.6%–89.9%, respectively; the removal rates of Ca and Mg were lower than 50.0%. The demineralization method was more critical than the pyrolysis temperature in the removal of alkali and alkaline earth metals. Especially, the lower slagging and fouling tendency was expected for the biochar demineralized with citric acid. Our results suggested that food waste biochar pyrolyzed at 500 °C and demineralized with citric acid is a promising co-firing material for electric power generation in thermoelectric power plants.
Polyamide 12/Antimony Trioxide/Sepiolite or Boron Composites: Mechanical Properties and Flame Retardancy

Bu calismada, antimon trioksit, sepiolit veya bor tozlari eklenerek uretilen poliamid 12 (PA 12) esasli kompozitlerin mekanik ve alev geciktirici ozelliklerini rapor edilmistir. Bu kompozitler, cift vidali ekstruder ve sicak presleme teknikleri ile hazirlanmistir. PA 12 esasli kompozitlerin mikroyapisal ve alev geciktirici ozellikleri, taramali elektron mikroskobu, dikey UL-94 yanma testi ve sinirlayici oksijen indeksi (LOI) testleri ile karakterize edilmistir. Polimer kompozitlerin mekanik performansi, Shore-D sertlik, Charpy darbe dayanimi, ve cekme (dayanimi ve kopma uzamasi) testleri ile ortaya cikarilmistir. En iyi mekanik performansin antimon oksit/sepiyolit katkili PA 12 numunesi gostermistir. Antimon oksit/bor katkisi yapilmis PA 12 bazli kompozit numunenin en iyi alev geciktirici performansi gostermistir.
Rateless TLRCM for IoT Uplink Transmission

It is critical to lower the power consumption of battery powered nodes in Internet-of-Things (IoT) applications while maintaining a high transmission throughput. In this article, a novel turbo coded lightweight rate compatible modulation (TLRCM) with a simple weight set {±1} is proposed for IoT uplink transmission. Unlike narrowband IoT (NB-IoT) standard where the whole data block will be retransmitted repeatedly until the data are recovered successfully, the proposed TLRCM works in a rateless manner and can achieve a smooth rate adaptation to channel variations, reducing the number of symbols to be retransmitted. Thus, TLRCM can significantly reduce the power consumption of IoT device and improve transmission throughput. To reduce computational complexity, a 1-b subtraction and memory reading algorithm, which can be easily implemented in limited computing capability IoT devices, is proposed for the generation of TLRCM symbols. In addition, an iterative algorithm with significantly reduced complexity is proposed for TLRCM demodulation. Moreover, the reliable soft information from the output of TLRCM demodulator enables a fast convergence of Turbo codes decoding. The simulation results show that compared with the repetition transmission scheme in NB-IoT standard, the proposed TLRCM can reduce by over 37% the average transmission power consumption while maintaining a high throughput of transmission in both Gaussian channels and fading channels. The uniqueness of low-power consumption, high throughput transmission, and low-complexity implementation enables the proposed TLRCM to be a potential technique for IoT applications.
Atomic Data and Nuclear Data Tables

a b s t r a c t The ab initio quasirelativistic Hartree–Fock method developed specifically for the calculation of spectral parameters of heavy atoms and highly charged ions is used to derive transition data for a multicharged tungsten ion. The configuration interaction method is applied to include electron correlation effects. The relativistic effects are taken into account in the Breit–Pauli approximation for quasirelativistic Hartree–Fock radial orbitals. The energy level spectra, radiative lifetimes and Lande gfactors are calculated for the 4p 6 4d 2 , 4p 6 4d4f, and 4p 5 4d 3 configurations of the ion W 36+ . The transition wavelengths, spontaneous transition probabilities, oscillator strengths, and line strengths for the electric dipole, electric quadrupole, electric octupole, and magnetic dipole transitions among the levels of these configurations are tabulated.
Advanced Russian EFL Learners’ Awareness of Idiomatic Synonymy, Antonymy, and Polysemy

Foreign language acquisition is notoriously constrained by learners’ lack of awareness of the systemic relations that are obtained among stable multiple-unit lexical items. This results in learners’ inability to variegate their performance (both written and oral) with idioms that stand in complementary (synonymy) or contrastive (antonymy) distribution to one another. Nor are learners typically able to distinguish between the multiple senses of English idioms. Given these impedimenta, the present research investigates the degree of entrenchment of idiomatic synonymy, antonymy, and polysemy and, on the back of it, sets the agenda for partial revision of the practice of exposing learners to English idioms. Data were collected to investigate the knowledge of idiomatic synonymy, antonymy, and polysemy amongst Russian EFL learners. The results of the ANOVA analysis revealed that the degree of awareness of the major types of idiomatic paradigmatic relations significantly differed between the groups, with learners being more aware of synonymy and polysemy than antonymy. The findings suggest that current EFL materials and dictionaries need to be updated and revisited with a view to exposing foreign learners to an extended network of paradigmatic idiomatic relations.
Model-fitting approach for methylene blue dye adsorption on Camelina and Sapindus seeds-derived adsorbents

Adsorption of methylene blue dye over the adsorbent derived from Sapindus seed hull (S) and Camelina (C) is studied. Batch adsorption study on both adsorbents is compared as a function of various parameters such as time, initial concentration and temperature. Langmuir and Freundlich models were fitted to the equilibrium data of methylene blue dye adsorption. Kinetics was evaluated using pseudo-first- and second-order models. Weber Morris model helped to understand the intraparticle diffusion during adsorption of methylene blue molecules. Thermodynamic analysis on both adsorbents revealed the spontaneity of the process. The relative study illustrated a comparison in adsorption capacities among both the adsorbents. Morphology explicated the surface characteristics of both the sorbents. Fourier transform infrared spectroscopy spectrum revealed a variety of functional groups on adsorbents’ surface.
INFLUENCE OF TWO DIFFERENT ACCURACY IMPROVEMENTS TO NUMERICAL PRICE FORECASTING

The paper aims to compare two different strategies of accuracy improvement of studied prognostic numerical models. The price prognoses of aluminium on the London Metal Exchange were determined as the numerical solution of the Cauchy initial problem for the 1st order ordinary differential equation. To make the numerical model more accurate two ideas were realized, the modification of the initial condition value by the nearest stock exchange (initial condition drift) and different way of creation of the differential equation in solved Cauchy initial problem (using two known initial values). With regard to the accuracy of the determined numerical models, the model using two known initial values obtained slightly better forecasting results. The mean absolute percentage error of all observed forecasting terms was mostly less than 5%. This strategy was more successful in problematic price movements, especially at steep price increase and within significant changes in the price movements. Larger fluctuation of prognoses calculated by this model was disadvantageous in forecasting terms with a small error. Moderate increase of prognoses obtained by the model using initial condition drift better described price fluctuation. Both chosen strategies eliminated the forecasting terms with the mean absolute percentage error larger than 10%. Therefore, we recommend both strategies as acceptable way for commodity price forecasting.
Modazar as promising corrosion inhibitor of carbon steel in hydrochloric acid solution

ABSTRACT Modazar drug was tested as corrosion inhibitor for carbon steel in 1 M HCl solution using chemical (weight loss and gasometric) and electrochemical (open {circdeg;}uit potential, potentiodynamic polarization, electrochemical frequency modulation and electrochemical impedance spectroscopy) techniques. The results showed that the inhibitory efficiency increased with the increase in drug concentration reaching a maximum value of 92.3% at 300 ppm while it decreases with increasing the temperature. Polarization curves showed that Modazar drug is a mixed type inhibitor but the cathode is more polarized than the anode. The drug was adsorbed physically on the C-steel surface obeying Langmuir adsorption isotherm. The morphology of the surface of the specimens was analyzed using atomic force microscopy, energy dispersion spectroscopy and scanning electron microscopy. The results obtained from chemical and electrochemical techniques are in good agreement. GRAPHICAL ABSTRACT
Delirium due to Anticholinergic Drug Burden in Older Persons

The cumulative effect of medications with anticholinergic activity (known as Anticholinergic Drug Burden, ADB) is associated with incident delirium and onset of adverse outcomes in older persons (e.g., cognitive and functional impairment). In a recent study by Egberts and colleagues, the association between delirium and ADB was demonstrated, mainly when assessed using the Anticholinergic Risk Scale (ARS). Although drugs with anticholinergic properties are often included in lists of potentially inappropriate medications, their prescription is still widespread. More efforts should be made to support deprescribing strategies and limit the prescription of potentially harmful medications.
Factors Affecting Teachers Attitude towards Designing Virtual Learning Environment

In many developing countries, Information and Communication Technology had been introduced. Its integration with the curriculum is limited. In view of this, a survey was conducted to examine the factors that affect teacher’s attitude in adopting virtual learning environment in their classroom teaching. The result of regression analysis revealed that Perceived usefulness and Perceived ease of use, had been seen to have more considerable significance than Social Influence and Facilitating Condition in affecting teacher’s attitude to adopt Frog VLE. Together these constructs explained 57 per cent the variance in teacher’s intention to use VLE application in their teaching. Keywords: Virtual Learning Environment; ICT in teaching and learning; teacher’s attitude towards e-learning 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.v5iSI3. 2560
Solvation free energies of nucleic acid bases in ionic liquids

Abstract The solvation free energies of five nucleic acid bases in [Cnbim]Br (where n = 2, 4, 6) ionic liquids (ILs) were computed using the Bennett acceptance ratio (BAR) method employing molecular dynamics simulations. The computed free energies using BAR were in agreement with other methods. The large and negative predicted free energies of the bases in ILs indicated that the bases were better solvated in the ILs rather than in water. Hydrogen bonding interactions between polar sites of the bases and ILs’ ions significantly contributed to the solvation mechanism.
Optimal Steady-State Voltage Control Using Gaussian Process Learning

In this article, an optimal steady-state voltage control framework is developed based on a novel linear voltage–power dependence deducted from Gaussian process (GP) learning. Different from other point-based linearization techniques, this GP-based linear relationship is valid over a subspace of operating points and, thus, suitable for a system with uncertainties such as those in power injections due to renewables. The proposed optimal voltage control algorithms, therefore, perform well over a wide range of operating conditions. Both centralized and distributed optimal control schemes are introduced in this framework. The least-squares estimation is employed to provide analytical forms of the optimal control, which offer great computational benefits. Moreover, unlike many existing voltage control approaches deploying fixed voltage references, the proposed control schemes not only minimize the control efforts but also optimize the voltage reference setpoints that lead to the least voltage deviation errors with respect to such setpoints. The control algorithms are also extended to handle uncertain power injections with robust optimal solutions, which guarantee compliance with the voltage regulation standards. As for the distributed control scheme, a new network partition problem is cast, based on the concept of effective voltage control source (EVCS), as an optimization problem which is further solved using convex relaxation. Various simulations on the IEEE 33-bus and 69-bus test feeders are presented to illustrate the performance of the proposed voltage control algorithms and EVCS-based network partition.
The technocratic rationality of governance - the case of the Danish employment services

ABSTRACT This study analyzes technocracy as a distinct rationality and shows how this rationality continues to inform the adoption and restructuring of new governance arrangements within the public sector. The recalibration of governance arrangements according to a technocratic rationality offers a way for governments to retain control amidst increasing decentralization and local self-governance. This is empirically illustrated through an analysis of recent changes in the governance of the Danish employment services. The analysis shows how recent changes in economic incentives, procedural regulations, and the performance monitoring of municipal job centers – officially adopted to increase local self-governance and autonomy – have been reshaped to accommodate the Ministry of Employment’s strategy of evidence-based policymaking. The article argues that this technocratic reshaping of governance arrangements increases central government control, while – at the same time – running the risk of ignoring the democratic aspects of public sector governance.
Extreme rainfall impacts on soil CO2 efflux in an urban forest ecosystem in Beijing, China

Abstract: Extreme rainfall events are infrequent disturbances that affect urban environments and soil respiration (Rs). Using data measured in an urban forest ecosystem in Beijing, China, we examined the link between gross primary production (GPP) and soil respiration on a diurnal scale during an extreme rainfall event (i.e., the “21 July 2012 event”), and we examined diel and seasonal environmental controls on Rs. Over the seasonal cycle, Rs increased exponentially with soil temperature (Ts). In addition, Rs was hyperbolically related to soil volumetric water content (VWC), increasing with VWC below a threshold of 0.17 m3 m? 3, and then decreasing with further increases in VWC. Following the extreme rainfall event (177 mm), Rs showed an abrupt decrease and then maintained a low value of ~0.3 μmol m? 2 s? 1 for about 8 h as soil VWC reached the field capacity (0.34 m3 m? 3). Rs became decoupled from Ts and increased very slowly, while GPP showed a greater increase. A bivariate Q10-hyperbolical model, which incorporates both Ts and VWC effects, better fits Rs than the Q10 model in summer but not for whole year.