Miracle-dz/UniFAR-FTUs huggingface dataset:
Dual electron donor/electron acceptor character of a conjugated polymer in efficient photovoltaic diodes

The authors report efficient photovoltaic diodes which use poly((9,9-dioctylfluorene)-2,7-diyl-alt-[4,7-bis(3-hexylthien-5-yl)-2,1,3-benzothiadiazole]-2′,2″-diyl) (F8TBT) both as electron acceptor, in blends with poly(3-hexylthiophene), and as hole acceptor, in blends with (6,6)-phenyl C61-butyric acid methyl ester. In both cases external quantum efficiencies of over 25% are achieved, with a power conversion efficiency of 1.8% under simulated sunlight for optimized F8TBT/poly(3-hexylthiophene) devices. The ambipolar nature of F8TBT is also demonstrated by the operation of light-emitting F8TBT transistors. The equivalent p- and n-type operation in this conjugated polymer represent an important extension of the range of useful n-type materials which may be developed.
What Happened to Mirror Neurons?

Ten years ago, Perspectives in Psychological Science published the Mirror Neuron Forum, in which authors debated the role of mirror neurons in action understanding, speech, imitation, and autism and asked whether mirror neurons are acquired through visual-motor learning. Subsequent research on these themes has made significant advances, which should encourage further, more systematic research. For action understanding, multivoxel pattern analysis, patient studies, and brain stimulation suggest that mirror-neuron brain areas contribute to low-level processing of observed actions (e.g., distinguishing types of grip) but not to high-level action interpretation (e.g., inferring actors’ intentions). In the area of speech perception, although it remains unclear whether mirror neurons play a specific, causal role in speech perception, there is compelling evidence for the involvement of the motor system in the discrimination of speech in perceptually noisy conditions. For imitation, there is strong evidence from patient, brain-stimulation, and brain-imaging studies that mirror-neuron brain areas play a causal role in copying of body movement topography. In the area of autism, studies using behavioral and neurological measures have tried and failed to find evidence supporting the “broken-mirror theory” of autism. Furthermore, research on the origin of mirror neurons has confirmed the importance of domain-general visual-motor associative learning rather than canalized visual-motor learning, or motor learning alone.
COMPOSITION AND DETERMINANTS OF RURAL NON-FARM INCOME DIVERSIFICATION IN NIGERIA

Farming has been considered as main source of income for rural households in Nigeria, despite their involvement in other income generating activities. Focusing on income derivable from farming alone may be partially responsible for the ineffective poverty reduction strategies in Nigeria. Using the National Living Standard Survey data collected by the National Bureau of Statistics, this paper investigated the composition and determinants of non-farm incomes of rural households in Nigeria. The results show that the share of farm, non-farm wage (NFW)- and self-employment (NFS) incomes in total household incomes were 24.3%, 43.0% and 23.7% respectively. Households whose heads are male (0.647), had formal education (0.522), increased the likelihood of households’ participation in NFW activities, while access to credit (-0.307) and having larger farm size (-0.221) decreased it. Access to credit (0.379); community participation (0.103); larger family size (0.193) and possession of capital assets (0.069) increased the likelihood of participation in NFS-employment activities, while having larger farm size (-0.211) decreased it. The study concludes that policy targeting poverty reduction should focus on providing enabling environment for poor households’ access to non-farm activities in the study area.
Defining an Ultrasound‐guided Regional Anesthesia Curriculum for Emergency Medicine

Ultrasound‐guided regional anesthesia (UGRA) can be a powerful tool in the treatment of painful conditions commonly encountered in emergency medicine (EM) practice. UGRA can benefit patients while avoiding the risks of procedural sedation and opioid‐based systemic analgesia. Despite these advantages, many EM trainees do not receive focused education in UGRA and there is no published curriculum specifically for EM physicians. The objective of this study was to identify the components of a UGRA curriculum for EM physicians.
A comparison of methods for finding magnetic nulls in simulations and in situ observations of space plasmas

Context. Magnetic nulls are ubiquitous in space plasmas, and are of interest as sites of localised energy dissipation or magnetic reconnection. As such, a number of methods have been proposed for detecting nulls in both simulation data and in situ spacecraft data from Earth’s magnetosphere. The same methods can be applied to detect stagnation points in flow fields. Aims. In this paper we describe a systematic comparison of different methods for finding magnetic nulls. The Poincaré index method, the first-order Taylor expansion (FOTE) method, and the trilinear method are considered. Methods. We define a magnetic field containing fourteen magnetic nulls whose positions and types are known to arbitrary precision. Furthermore, we applied the selected techniques in order to find and classify those nulls. Two situations are considered: one in which the magnetic field is discretised on a rectangular grid, and the second in which the magnetic field is discretised along synthetic “spacecraft trajectories” within the domain. Results. At present, FOTE and trilinear are the most reliable methods for finding nulls in the spacecraft data and in numerical simulations on Cartesian grids, respectively. The Poincaré index method is suitable for simulations on both tetrahedral and hexahedral meshes. Conclusions. The proposed magnetic field configuration can be used for grading and benchmarking the new and existing tools for finding magnetic nulls and flow stagnation points.
Adicción a internet y agresividad en estudiantes peruanos de educación secundaria

In recent years the internet has positioned itself as a useful, functional and necessary tool for students to develop mainly their academic and social activities. However, it’s inappropriate and excessive use could cause physical and psychological problems in students, affecting their quality of life. For this reason, the present research aimed to determine the relationship between internet addiction and aggressiveness in students at the secondary education level of a public educational institution in Madre de Dios, Peru. The research had a quantitative approach, an experimental design and was correlational. The sample consisted of 170 students to whom the Lima Internet Addiction Scale and the Aggression Questionnaire were applied, instruments with adequate levels of validity and reliability. According to the results, the students were characterized by moderate levels of internet addiction, average levels of aggressiveness and it was determined that the correlation coefficient between both variables was 0.643 with a p-value lower than the significance level (p<0.05). It was concluded that there is a direct and statistically significant relationship between internet addiction and aggressiveness.
Comprehensive Interactome Development Technique

Interactome depicts the arrangement of all atomic communications in cells, particularly with regards to protein-protein collaborations. We look at different strategies for foreseeing protein-protein collaborations utilizing grouping and structure data. A definitive objective of those methodologies is to introduce the total approach for the programmed choice of communication accomplices utilizing their amino corrosive arrangements as well as three dimensional structures, whenever known. The proposed approval of the hypothetical strategies utilizing test information would be a superior appraisal of their exactness.
Comparison between satellite and ground data with UAV-based information to analyse vineyard spatio-temporal variability

Currently, the greatest challenge for vine growers is to improve the yield and quality of grapes by minimizing costs and environmental impacts. This goal can be achieved through a better knowledge of vineyard spatial variability. Traditional platforms such as airborne, satellite and unmanned aerial vehicles (UAVs) solutions are useful investigation tools for vineyard site specific management. These remote sensing techniques are mainly exploited to get the Normalized Difference Vegetation Index (NDVI), which is useful for describing the morpho-vegetational characteristics of vineyards. This study was conducted in a vineyard in Tuscany (Italy) during the 2017, 2018 and 2019 seasons. Ground data were acquired to detect some agronomic variables such as yield (kg/vine), total soluble solids (TSS), and pruning weight (kg/vine). Remote sensed multispectral images acquired by UAV and Sentinel-2 (S2) satellite platform were used to assess the analysis of the vegetative variability. The UAV NDVI was extracted using both a mixed pixels approach (both vine and inter-row) and from pure canopy pixels. In addition to these UAV layers, the vine thickness was extracted. The aim of this study was to evaluate both classical Ordinary Least Square (OLS) and spatial statistical methods (Moran Index-MI and BILISA) to assess their performance in a multi-temporal comparison between satellite and ground data with UAV information. Good correlations were detected between S2 NDVI and UAV NDVI mixed pixels through both methods (R2 = 0.80 and MI = 0.75). Regarding ground data, UAV layers showed low and negative association with TSS (MI = - 0.34 was the lowest value) whereas better spatial autocorrelations with positive values were detected between UAV layers and both yield (MI ranged from 0.42 to 0.52) and pruning weight (MI ranged from 0.45 to 0.64). The spatial analysis made by MI and BILISA methodologies added more information to this study, clearly showing that both UAV and Sentinel-2 satellite allowed the vigour spatial variability within the vineyard to be detected correctly, overcoming the classical comparison methods by adding the spatial effect. MI and BILISA play a key role in identifying spatial patterns and could be successfully exploited by agricultural stakeholders.
Machine Learning Assisted Stochastic Unit Commitment: A Feasibility Study

Stochastic unit commitment is an effective model for generation scheduling, in the presence of substantial uncertainty. However, effectiveness comes with substantial computational cost. Generally, stochastic unit commitment needs more time than other standard methods such as deterministic, to solve the unit commitment problem. In this paper, the results of initial feasibility studies are presented aiming to find out if using machine learning-based models can facilitate solving stochastic unit commitment problems. A real-world, large-scale test case is used to demonstrate the capabilities and shortcomings of machine learning algorithms in reducing the calculation time without sacrificing accuracy. Our feasibility study reveals that while it is unlikely to train a machine learning model to solve the problem as a standalone platform, it is possible to use a trained machine learning model to assist in accelerating the solution of the stochastic model.
Fund Managers Adding Values? Measuring Performance without Benchmark – A Study of Indian Mutual Fund Schemes

This paper calculates the Portfolio Change Measure (PCM) developed by Grinblatt and Titman for a sample of 744 equity schemes of Indian mutual funds over a minimum period of more than 2 years and less than 11 years. PCM, based on holding of assets, is a measure which is free from ‘benchmark’ biases arising out of usage of a ‘benchmark’ portfolio. So by using PCM as a measure, this paper, without using any benchmark, attempts to assess whether the selected mutual fund managers were able to add value and exhibit superior skills on the average and thus making a case for active fund management over a passive buy and hold strategy. Using the monthly holding statement of each individual scheme’s portfolio, rolling PCM has been calculated on a monthly basis with a rolling window of one year. The results of our analysis, supported by robustness checks, which includes time periods of pre-and post-Global Financial Crisis, shows strong evidence of active fund management adding value in the stock selection and hence in return generating process, thus justifying the possession of superior skill or superior information of fund managers at an aggregate level. Finally, using Quantile Regression we identify some characteristics of the scheme like scheme size and ownership category, which influence PCM significantly.
Biocatalysis and Chemocatalysis: A Powerful Combination for the Preparation of Enantiomerically Pure α‐Amino Acids

Demand for enantiopure chiral compounds has grown exponentially over the past few decades, primarily for use in pharmaceuticals. Whereas up to the mid 1980s chiral active pharmaceutical ingredients (APIs) tended to be formulated as racemates, the preference now is for single enantiomers. This is a result of new FDA regulations governing chiral APIs and the recognition that enantiomers of a chiral compound can have dramatically different biological activities (1). As part of its remit to serve the pharmaceutical industry, Dowpharma has invested in a broad range of chiral technologies. Asymmetric catalysis encompasses the use of both biocatalysts (e.g. enzymes) and chemical catalysts that possess an element of chirality (e.g. a transition metal complex bearing a chiral ligand). The practical advantages that result from using these methodologies have been demonstrated through numerous large scale applications. It is important to realise all the attributes that these catalysts must possess to enable the development of robust large scale manufacturing processes – high enantioselectivities, high catalytic efficiencies, security of supply, freedom to operate and regulatory compliance are all necessary.
Kaolin Particle Film Affects Grapevine Berry Quality in cv. Meili in Humid Climate Conditions

Kaolin particle film (KPF) is an aqueous formulation of chemically inert mineral particles that can be sprayed on the surface of crops to form a protective film, resulting in increased fruit yield and quality. In this work, the effects of kaolin-based, foliar reflectant particle film on grape composition and volatile compounds in ‘Meili’ (Vitis vinifera L.) grapes were investigated under different growth stages over two growing seasons. The 100-berry weight and titratable acid content were decreased, and the sugar and soluble solid contents were increased in grapes of plants treated with kaolin over 2 years. Compared with grapes from plants not sprayed with kaolin, the levels of total phenol, flavonoid, flavanol, tannin, and anthocyanins of grapes from plants treated with kaolin for 2 years were mostly increased. High-performance liquid chromatography (HPLC) analysis also revealed an increased content of monomeric anthocyanin and changed anthocyanin composition. However, there was little effect on the volatile compounds in the grapes. These results demonstrate that KPF can facilitate the accumulation of sugar and phenolics, thereby improving grape quality even in a humid climate.
USING RADIOCARBON DATA TO CHRONOLOGICALLY CONTROL POPULATION DENSITY ESTIMATES DERIVED FROM SYSTEMATICALLY COLLECTED INTRA-SETTLEMENT DISTRIBUTIONAL DATA

ABSTRACT Population density is an important variable in the development of social complexity. Estimating population densities from the archaeological record requires combining estimates of population, area, and time. Archaeological population estimates tend to be reported as a maximum population derived from the total accumulation of discrete archaeological material types, usually ceramics or radiocarbon (14C) dates. However, given the palimpsest nature of the archaeological record at recurrently occupied archaeological sites, these maximal, total estimates are, at best, a poor reflection of contemporaneous populations. I present a method for calculating average yearly population densities for occupations at a large, multicomponent site using a combination of distributional data and 60 14C dates. By employing this method at other sites in the same region, modeling intra-regional population dynamics at fine time scales will be possible.
El Niño Southern Oscillation signal in a new East Antarctic ice core,
Mount Brown South

Abstract. Paleoclimate archives, such as high-resolution ice core records, provide a means to investigate long-term (multi-centennial) climate variability. Until recently, the Law Dome (Dome Summit South) ice core record remained one of few long-term high-resolution records in East Antarctica. A new ice core drilled in 2017/2018 at Mount Brown South, approximately 1000 km west of Law Dome, provides an additional high-resolution record that will likely span the last millennium in the Indian Ocean sector of East Antarctica. Here, we compare snowfall accumulation rates and sea salt concentrations in the upper portion (~21 m) of the Mount Brown South record, and an updated Law Dome record over the period 1975–2016. Annual sea salt concentrations from the Mount Brown South record preserves a stronger signal for the El Niño-Southern Oscillation (ENSO; in austral winter and spring, r = 0.521, p
Simulación molecular del comportamiento mucoadhesivo de biopolímeros farmacéuticos en contacto con mucinas

This paper presents the study of aggregation y adsorption between models of mucin (the main component of human mucus) in solution y mucin with polymers, supported by simulation tests in Dissipative Particle Dynamics method (DPD). This technique applies a mesoscale coarse-grained approach dropping the atomic level detail y modeling multiple atoms in a single sphere (bead) in order to extend the timescale necessary to simulate phenomena such as adsorption nanometer level. To develop the project was carried out an experimental design that allowed the identification of the simulation box sizes, y selection of structural parameters, then three computational models were proposed mucin with different levels of refinement, y evaluated their structural stability , using 2 of these models was a study of aggregation in aqueous solution, finding mechanisms y kinetics of aggregation typical of real systems involving protein aggregation mediated by chemical associations. Finally conducted adsorption test of a simplified model of mucin in surface models, demonstrating the ability of the technique to emulate this kind of phenomena, y the influence of the hydrophobic nature of the surface in the final guidance take the adsorbed proteins.
Quantitative Determination of Phenolic Acids and Flavonoids in Fresh Whole Crop Rice, Silage, and Hay at Different Harvest Periods

Whole crop rice (WCR) is used as an important feed for livestock ruminants. In this study, “Yeongwoo” variety WCR (cultivated on the Korean peninsula) was harvested at three different maturity stages (booting, heading, and milk) and their phenolic acid and flavonoid profiles in the lactic acid bacteria (LAB)-inoculated and noninoculated silage, hay, and fresh freeze-dried WCR extract were quantified. The alterations in the phenolic and flavonoid contents of the selected WCR during maturation in different samples were analyzed by the High-Performance Liquid Chromatography- Diode Array Detector (HPLC–DAD) technique. The six phenolics (caffeic acid, ferulic acid, p-coumaric acid, chlorogenic acid, dihydroxy benzoic acid, and prophyl gallate) and six flavonoids (rutin hydroxide, luteolin, kaempferol, vitexin, myricetin, and quercetin) were noted to have slight differences between the LAB-inoculated and noninoculated silage samples; however, the phenolics and flavonoids were higher in hay WCR at the milk stage compared to the silage and fresh freeze-dried samples. The results indicate that WCR harvest times have different phenolic compounds in the WCR silage, hay, and fresh samples. The phenolic and flavonoid compounds were higher (p < 0.05) with the increase in maturity (Stage 1–3). The stage of WCR maturity was positively related (p < 0.05) to the amount of phenolic acid and flavonoid contents (µg/g) in hay, silage, and fresh freeze-dried extract. We observed the WCR had high amounts of phenolic acid and flavonoid concentrations at milk stage (Stage 3) hay (quercetin, kaemferol, luteolin, ferulic acid, caffeic acid, and coumaric acid were 1.28, 1.29, 0.54, 1.54, 1.92, and 1.81 µg/g, respectively) compared with the booting and heading stages (Stages 1 and 2), with acceptable accuracy on a pilot scale. Based on these results, it could be concluded that LAB (Lactobacillus plantarum)-inoculated whole crop rice silage (WCRS) did not affect the phenolics and flavonoids of secondary plant metabolites in fermented silage. However, phenolics and flavonoids were of higher rations in WCR at the milk stage. Furthermore, this phenolic acid and flavonoid effect needs to be confirmed using large-scale in vivo analysis.
Development of Microemulsions Containing Glochidion wallichianum Leaf Extract and Potential for Transdermal and Topical Skin Delivery of Gallic Acid

Glochidion wallichianum (GW) is a good source of antioxidants, including gallic acid, promoting its development as a microemulsion. We constructed five pseudo-ternary phase diagrams comprising isopropyl myristate (IPM), water, and surfactant mixture (Smix)—i.e., Labrasol®:HCO-40® (1:1) with Transcutol® (1:1, 2:1, 3:1), and Tween80:Span80 (3:2) with Transcutol® or propylene glycol:ethanol (1:1). Additionally, blank and GW extract-loaded microemulsions were prepared at an IPM:Water:Smix ratio of 10:30:60 (high water content) and 30:10:60 (high oil content) from each Smix. The physical characteristics, skin permeation, and disposition were evaluated. The formulations with high water content and conductivities provided higher gallic acid permeation and disposition than those with high oil content. The Smix of Labrasol®:HCO-40® (1:1) and Transcutol® (1:1) promoted the highest gallic acid permeation (enhancement ratio 1.78 ± 0.12) and was suitable for transdermal delivery. However, the 1% hydroxypropyl methylcellulose control gel, the microemulsion with Smix of Labrasol®:HCO-40® (1:1) with Transcutol® (2:1), and Smix of Tween80:Span80 (3:2) with propylene glycol:ethanol (1:1) could provide higher skin accumulation of gallic acid than that with other formulations. The microstructures, ratio of surfactant:cosurfactant, and compositions of microemulsions were found to affect the skin permeation and disposition of gallic acid and require optimization to act as transdermal or topical delivery carriers.
Novel Encapsulated Functional Dye Particles Based on Alternately Adsorbed Multilayers of Active Oppositely Charged Macromolecular Species

A comprehensive study of the encapsulation of 11 functional dyes belonging to several chemical groups and subgroups is presented. Layer-by-layer polyelectrolyte adsorption at dye crystal surfaces as well as the removal of the crystal core to obtain semipermeable multilayer microcapsules is conducted. Dye crystals are alternately coated by poly(allylamine hydrochloride) (PAH), poly(styrene sulfonate) (PSS), poly(diallyldimethylammonium chloride) (PDADMAC) using a combination of electrostatic, hydrophobic and van der Waals interactions. It is remarkable that the uncharged organic crystals have successfully been coated with PSS without using any amphiphile. The introduction of a water-soluble shell on a functional dye crystal may be of importance in various technologies. We characterized the prepared multilayers at the particle surface or in the microcapsule (shcll) by scanning force microscopy and confocal laser scanning microscopy.