Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review of Pharmaceutical Nano-Cocrystals: A Novel Strategy to Improve the Chemical and Physical Properties for Poorly Soluble Drugs

Nowadays, many commercial drugs have poor solubility and bioavailability. Cocrystals are formulated to modulate active pharmaceutical ingredients’ properties with improved solubility, dissolution, and bioavailability compared to their pristine individual components in the pharmaceutical industry. Nano-cocrystals, crystals in the nano range, can further enhance these properties because of not only the cocrystal structure, but also the large surface to volume ratio of nanocrystals. Even though there are many studies on cocrystals, the research of pharmaceutical nano-cocrystals is still in the initial stage. Thus, it is necessary to conduct a systematic study on pharmaceutical nano-cocrystals. In this review, the possible preparation approaches of nano-cocrystals have been reported. To have a comprehensive understanding of nano-cocrystals, some analytical techniques and characterizations will be discussed in detail. In addition, the feasible therapeutic application of nano-cocrystals will be presented. This work is expected to provide guidance to develop new nano-cocrystals with commercial value in the pharmaceutical industry.
Using QKD in MACsec for secure Ethernet networks

Media access control security (MACsec) is an IEEE 802.1AE standard for secure communication on Ethernet links. MACsec ensures the confidentiality, integrity and origin authenticity of Ethernet frames. The secrecy of MACsec stems from a root key that is either configured as a pre ‐ shared key or derived from a mutual authentication protocol. However, both methods are not ideal because such a root key may be disclosed due to human errors or broken by quantum attacks. Here, the authors investigate the quantum key distribution (QKD) as an alternative source of trust for MACsec. QKD can be used as either a root key provider or a session key generator. The authors develop a new key exchange protocol based on QKD for Ethernet networks. Furthermore, it is verified by the experiment that QKD could be well integrated into MACsec without performance degradation.
Psychology Software Tool (PST) For Specific Language Impairment Person

Specific Language Impairment (SLI) is a disorder categorized by the inability of an individual to master spoken and written language, despite the absence of any apparent handicapping conditions. Many tools have been developed to diagnose or treat SLI, but these tools are largely made up of standalone components which must be utilized separately to obtain sufficient data for the diagnosis and treatment of SLI. Furthermore, some of these components are either very expensive or not widely available. As a result, therapists have faced many inconveniences when trying to treat individuals suffering from SLI. Hence, the development of an integrated, cost-effective Psychology Software Tool (PST) to diagnose and treat SLI is being developed as a solution to counter the inconveniences currently faced by SLI therapists. As a tool by SLI therapists to diagnose and treat SLI within children, the Psychology Software Tool offers standardized questionnaires with a special method to diagnose SLI will be presented in both text and audio, while a webcam will be used to deduce the amount of focus which is given by the patient to comprehend a particular element displayed on the screen. The diagnosis shall take into account the accuracy of answers provided within the questionnaires, the time taken to provide those answers and the aforementioned degree of focus. In terms of SLI treatment, the tool will also provide music therapy for SLI patients to work towards better speech production and comprehension. In short, PST will simplify and enhance the process of diagnosing and treating SLI patients.
An adaptive approach for word sense disambiguation for Hindi language

Word sense disambiguation has been a classical problem and it is still considered as a big challenge for NLP researchers. Word vectors have shown remarkable improvements from baseline performances for various NLP challenges. An adaptive approach is developed to resolve the ambiguity at word level using word vectors and presented in this paper. CBOW and Skip-gram models of Word2Vec are used to generate the word embeddings. An input sentence is split into two sets: The first set contains all possible ambiguous words and the second set is constituted from all the unambiguous words. The words from the first set are processed through IndoWordNet to collect all the senses of respective words, and such senses are stored in sensedictionary. An adaptive approach is applied to find out the exact interpretation of the ambiguous word from the sense dictionary for each word from the set of ambiguous words with the context words from the set of unambiguous words. The proposed approach is evaluated on a large scale Hindi corpus and claimed better results than previous attempts.
Characterization of Products from the Aqueous-Phase Photochemical Oxidation of Benzene-Diols

Chemical processing in atmospheric aqueous phases, including cloud and fog drops, might be significant in reconciling the gap between observed and modeled secondary organic aerosol (SOA) properties. In this work, we conducted a relatively comprehensive investigation of the reaction products generated from the aqueous-phase photochemical oxidation of three benzene-diols (resorcinol, hydroquinone, and methoxyhydroquinone) by hydroxyl radical (·OH), triplet excited state (3C*) 3,4-dimethoxybenzaldehyde (3,4-DMB), and direct photolysis without any added oxidants. The results show that OH-initiated photo-degradation is the fastest of all the reaction systems. For the optical properties, the aqueous oxidation products generated under different reaction conditions all exhibited photo-enhancement upon illumination by simulated sunlight, and the light absorption was wavelength dependent on and increased as a function of the reaction time. The oxygen-to-carbon (O/C) ratio of the products also gradually increased against the irradiation time, indicating the persistent formation of highly oxygenated low-volatility products throughout the aging process. More importantly, aqueous-phase products from photochemical oxidation had an increased oxidative potential (OP) compared with its precursor, indicating they may more adversely impact health. The findings in this work highlight the importance of aqueous-phase photochemical oxidation, with implications for aqueous SOA formation and impacts on both the chemical properties and health effects of OA.
Soundscape of protected and unprotected tropical Atlantic coastal coral reefs

1 Departamento de Engenharia de Pesca, Universidade Federal de Alagoas, Av. Beira Rio, s/n –Centro, Penedo– AL, 57200-000 (AB) (Corresponding author) E-mail: a.borie@gmail.com. ORCID iD: https://orcid.org/0000-0002-1044-9421 2 Centro de Pesquisa e Conservação da Biodiversidade Marinha do Nordeste, Rua Samuel Hardman s/n, Tamandaré, CEP 55.578-000 (SMR) E-mail: rezende.sergiomagalhaes@gmail.com. ORCID iD: https://orcid.org/0000-0001-9050-6475 3 Departamento de Oceanografia, Universidade Federal de Pernambuco (BPF) E-mail: beatricepadovaniferreira@gmail.com. ORCID iD: https://orcid.org/0000-0001-6315-9834 (MM) E-mail: maida.mauro@yahoo.com. ORCID iD: https://orcid.org/0000-0002-1136-8631 4 Institute of Marine Science, Leigh Marine Laboratory, Institute of Marine Science, University of Auckland, New Zealand. (CR) E-mail: c.radford@auckland.ac. nz. ORCID iD: https://orcid.org/0000-0001-7949-9497 5 Departamento de Pesca e Aquicultura, Universidade Federal Rural de Pernambuco CEP 52.171-900, Recife, PE, Brasil. (PT) E-mail: pautrax@hotmail.com. ORCID iD: https://orcid.org/0000-0001-8667-5292
Genome editing efficiency of four Drosophila suzukii endogenous U6 promoters

The invasive spotted‐wing drosophila, Drosophila suzukii (Matsumura) (Diptera: Drosophilidae) has caused serious economic losses to the fruit industry. The conventional control methods have many limitations and genetic engineering technologies such as CRISPR/Cas9‐mediated gene drive are promising approaches. In the CRISPR/Cas9 system, the transcriptional regulatory elements play an important role in the activities of gRNA. Thus, in order to improve the genome editing efficiency of the CRISPR/Cas9 system in D. suzukii, we cloned and tested four endogenous U6 promoters to drive mutagenesis of the white gene. Our results showed that all the four promoters could be used with variable efficiency. The promoter DsU6‐3 had the highest genome editing efficiency among the four DsU6 promoters. Compared with the DsU6‐3 promoter, the DmU6:3 promoter showed lower efficiency to drive mutagenesis in D. suzukii. These findings expand the range of promoters available to express gRNAs in D. suzukii, facilitating the basic and applied research on this important pest.
Linking farm production to household diets: Evidence from two low potential areas in Kenya

Abstract Despite the role played by small-scale farmers in agricultural production, majority of these farmers’ households in developing countries consume diets that are of low quality. This consumption of poor quality diets is a major factor contributing to the high burden of malnutrition. Farm enterprise diversification as one of nutrition-sensitive agriculture interventions, improve nutritional status by supporting consumption of nutritious foods. This study aimed at examining the role of farm enterprise diversity on household diet quality among small-scale farmers in two low potential areas in Kenya. The cross-sectional study targeted 320 randomly selected small–scale farmers’ households in Makueni and Nyando Sub-Counties and semi-structured questionnaires were used to collect data. From the results, livestock count had a positive significant effect on household diet quality at 5% significance level. This finding indicates that household dietary diversity (HDD) can also be achieved through the income pathway since people can purchase a variety of other foods from the market using the income they earn. Thus, there is a need to sensitize small-scale farmers on the importance of producing a variety of crops and animal species for household consumption and sale for improved HDD.
Controllable microemulsion method for the synthesis of Mg(OH)
 2
 /PS core–shell structures

A core–shell structured Mg(OH) 2 /PS with enhanced surface lipophilicity was successfully synthesized by a microemulsion template. The core magnesium hydroxide was prepared in a cetyltrimethyl ammonium bromide (CTAB)/isopropanol/cyclohexane/water microemulsion, and the shell polystyrene (PS) was formed in situ by adding styrene monomer into oil phase of the microemulsion. The Mg(OH) 2 /PS core–shell nanoparticles were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), thermogravimetry/differential scanning calorimetry (TG/DSC) and Fourier transform infrared spectroscopy (FT-IR). The results indicated that the obtained nanoparticles is a core–shell structure and well-dispersed; the polystyrene shell thicknesses could be controlled in the range of 9.11 to 13.36 nm by sim-ply changing the dosage of styrene monomer. Due to its polymer coating modiﬁcation and integrated core–shell structure, the Mg(OH) 2 /PS is with excellent surface lipophilicity and easy to mix with the organic phase. The results provide a facile method to produce the surface-modiﬁed inorganic material for functionality.
A comprehensive flood inundation mapping for Hurricane Harvey using an integrated hydrological and hydraulic model

As climate change will increase the frequency and intensity of precipitation extremes and coastal flooding, there is a clear need for an integrated hydrology and hydraulic system that has the ability to model the hydrologic conditions over a long period and the flow dynamic representations of when and where the extreme hydrometeorological events occur. This system coupling provides comprehensive information (flood wave, inundation extents and depths) about coastal flood events for emergency management and risk minimization. This study provides an integrated hydrologic and hydraulic coupled modeling system that is based on the Coupled Routing and Excessive Storage (CREST) model and the Australia National University- Geophysics Australia (ANUGA) model to simulate flood. Forced by the near-real-time Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimates (QPEs), this integrated modeling system was applied during the 2017 Hurricane Harvey event to simulate the streamflow, the flood extent, and the inundation depth. The results were compared with post-event Water High Mark (WHM) survey data and its interpolated flood extent by the United States Geological Survey (USGS) and the Federal Emergency Management Agency (FEMA) flood insurance claims, as well as a satellite-based flood map, the National Water Model (NWM) and the Fathom (LISFLOOD-FP) model simulated flood map. The proposing hydrologic and hydraulic model simulation indicated that it could capture 87% of all flood insurance claims within the study area, and the overall error of water depth was 0.91 meters, which is comparable to the mainstream operational flood models (NWM and Fathom).
Butterfly diversity in the three selected areas in Dhaka city, Bangladesh

The diversity of butterfly species was studied from January to June 2015 in the three selected areas, viz. Ramna Park, Jagannath University Campus, and Baldha Garden in Dhaka city, Bangladesh. A total 75 species of butterfly belonging to 42 genera under 8 families were recorded from the study areas during the study period. Of them, 52 species (6253 individuals) of 8 families were found in the Ramna Park, 37 species (1430 individuals) of 7 families in the Jagannath University Campus and 20 species (320 individuals) of 6 families in the Boldha Garden. In these three study areas, 17 species, 14 genera and 6 families were in common. At the Ramna Park, the highest species richness included the family Lycaenidae (21.15%, 11 spp.) followed by Papilionidae (17.31%, 9 spp.), Pieridae (17.31%, 9 spp.), Nymphalidae (17.31%, 9 spp.), Hesperiidae (13.46%, 7 spp.), Danaidae (7.69%, 4 spp.), Satyridae (3.85%, 2 spp.), and the lowest was in the family Acriidae (1.92%, 1 spp.). At the Jagannath University Campus the highest number of species were recorded in the family Lycaenidae (21.62%, 8 spp.) and Hesperiidae (21.62%, 8 spp.) followed by Pieridae (18.92%, 7 spp.), Papilionidae (13.51%, 5 spp.), Nymphalidae (10.81%, 4 spp.), Danaidae (10.81%, 4 spp.), and the lowest was in Satyridae (2.70%, 1 spp.). The topmost butterfly species were recorded in the family Pieridae (25%, 5 spp.) followed by Lycaenidae (20%, 4 spp.), Nymphalidae (20%, 4 spp.), Papilionidae (15%, 3 spp.), and the lowest from the family Hesperiidae (10%, 2 spp.) and Danaidae (10%, 2 spp.) at the Baldha Garden. The maximum butterfly species were found in February to June (51 spp.), February (34 spp.), and April (16 spp.), and the lowest were in January (46 spp.), June (21 spp.) and January (8 spp.), respectively for the Ramna Park, Jagannath University Campus and the Baldha Garden. The peak of the population observed in May (n =1285), March (n = 325), and May (n = 71), and the lowest was in January (n = 662), June (n = 145) and January (n = 21), respectively for the Ramna Park, Jagannath University Campus, and Baldha Garden. The Shanon’s Diversity Index (H) and Simpson’s Index (λ) indicated high butterfly diversity at the Ramna Park (H = 3.68, λ = 0.03), Jagannath University Campus (H = 3.20, λ = 0.06) and Baldha Garden (H = 2.50, λ = 0.13), respectively. The high Species Evenness in the Ramna Park (E = 0.93), Jaganath University Campus (E = 0.89) and the Baldha Garden (E = 0.84) indicated that the species were evenly distributed. The calculated Sorenson’s Coefficient (CC) was 0.47, which indicates that these three communities have quite a bit of overlap or similarity.
Microwave-assisted extraction of flavonoids from Chinese herb Radix Puerariae (Ge Gen).

Microwave-assisted extraction (MAE) technique was developed for the extraction of flavonoids from Radix puerariae (FRP). Several influential parameters of the MAE pro cedure (ethanol concentration, solvent volume, microwave power and extraction time) were studied through single factor experiments and orthogonal experiment for the optimization of the extraction protocol. The optimal conditions of MAE were: ethanol concentration 70%, solvent volume 35 ml microwave power 255W and extraction time 6.5 min, while extraction yield of FRP was 8.37 mg/g. The developed MAE method provided a good alternative for the extraction of flavonoids from R. puerariae .
Solvent Engineering Boosts the Efficiency of Paintable Carbon‐Based Perovskite Solar Cells to Beyond 14%

Carbon‐based hole transport material (HTM)‐free perovskite solar cells (PSCs) have shown much promise for practical applications because of their high stability and low cost. However, the efficiencies of this kind of PSCs are still relatively low, especially for the simplest paintable carbon‐based PSCs, in comparison with the organic HTM‐based PSCs. This can be imputed to the perovskite deposition methods that are not very suitable for this kind of devices. A solvent engineering strategy based on two‐step sequential method is exploited to prepare a high‐quality perovskite layer for the paintable carbon‐based PSCs in which the solvent for CH3NH3I (MAI) solution at the second step is changed from isopropanol (IPA) to a mixed solvent of IPA/Cyclohexane (CYHEX). This mixed solvent not only accelerates the conversion of PbI2 to CH3NH3PbI3 but also suppresses the Ostwald ripening process resulting in a high‐quality perovskite layer, e.g., pure phase, even surface, and compact capping layer. The paintable carbon‐based PSCs fabricated from IPA/CYHEX solvent exhibits a considerable enhancement in photovoltaic performance and performance reproducibility in comparison with that from pure IPA, especially on fill factor (FF), owing mainly to the better contact of perovskite/carbon interface, lower trap density in perovskite, higher light absorption ability, and faster charge transport of perovskite layer. As a result, the highest power conversion efficiency (PCE) of 14.38% is obtained, which is a record value for carbon‐based HTM‐free PSCs. Furthermore, a PCE of as high as 10% is achieved for the large area device (1 cm2), also the highest of its kind.
Study on the Influence of Sand Production on Seepage Capacity in Natural Gas Hydrate Reservoirs

Sand production has become a common phenomenon in the exploitation of unconsolidated natural gas hydrate reservoirs, which will hinder the long-term production of natural gas hydrate reservoirs. However, there are few literatures reported on the influences in reservoir physical properties such as permeability and porosity, and production laws caused by sand production. This paper provides a numerical model, coupled with reservoir sand-gas-water multiphase flow processes, which is capable to simulate the process of sand production in natural gas hydrate reservoirs. The simulation results indicate that sand settlement is mainly concentrated near the wellbore due to the high concentration of migrated sand. The decrease in reservoir porosity and permeability caused by sand settlement has a significant impact on production. The impact of sand production on reservoir fluid fluidity shows that fluid flow is inhibited near the wellbore, while fluid flow performance increases far away from the wellbore. The numerical model and analysis presented here could provide useful insight into changes in reservoir physical properties and production laws caused by sand production in the natural gas hydrate-bearing marine sediments using depressurization method.
Measuring ERP System Success: Success Indicators and Structural Equation Modelling Approach

The study aims to analyse the system success of ERP Systems functioning at a leading Coal Producer Company in Odisha. The study is divided into two parts in the first part universal success indicators from the literature of ERP success measurement will be tested using factor analysis. In the second part of the study how factors influencing the success of ERP systems will be analysed using the updated G.Gable model by Princely Ifinedo. Data will be collected regarding 27 success indicators through a structured questionnaire from the end-users of ERP systems working at a Leading Coal Producer Company in Odisha. The sample size will be 330 i.e., at Confidence Level of 95(Ninety-Five)% and Confidence Interval of 5(Five)% for a total end-user population of 3300. A hypothesis is formulated and data analysis will be conducted by SPSS for Factor analysis and AMOS for SEM. The result obtain will show that whether success indicators are present or absent in the ERP Systems working at Leading Coal Producer Company in Odisha. Based on the presence or absence of success indicators through the data received from the end-users we can clearly say that whether ERP Systems implemented has served its purpose fully or partially
Influencia del contexto en problemas de multiplicación y división: estudio de caso de un alumno con autismo

Los estudiantes diagnosticados con Trastornos del Espectro Autista (TEA) suelen desarrollar un interés especial sobre áreas que no son habituales en cuanto a su intensidad o temática. Este trabajo profundiza en comprender la influencia que tienen las áreas de interés especial en los procesos de resolución de problemas aritméticos verbales de multiplicación y división, mediante un estudio de caso único con un estudiante de 11 años diagnosticado con TEA y discapacidad intelectual. Se utiliza un cuestionario formado por 15 problemas enunciados en tres tipos de contextos: de interés especial, familiar y no familiar. Siguiendo una metodología cualitativa, se clasifican las estrategias informales y el éxito en la obtención de la solución. Los resultados muestran que las áreas de interés especial han supuesto una mayor implicación del estudiante, pero no han logrado una mejora efectiva respecto de los contextos familiares, ya que en ambos contextos el estudiante ha resuelto los problemas de multiplicación y de división-agrupamiento pero no ha logrado resolver los problemas de división-reparto. En el contexto no familiar no ha resuelto ningún problema. Estos hallazgos contribuyen a completar la literatura existente sobre la utilidad educativa de las áreas de interés especial en estudiantes diagnosticados con TEA.
A Review of Principal Component Analysis Algorithm for Dimensionality Reduction

Big databases are increasingly widespread and are therefore hard to understand, in exploratory biomedicine science, big data in health research is highly exciting because data-based analyses can travel quicker than hypothesis-based research. Principal Component Analysis (PCA) is a method to reduce the dimensionality of certain datasets. Improves interpretability but without losing much information. It achieves this by creating new covariates that are not related to each other. Finding those new variables, or what we call the main components, will reduce the eigenvalue /eigenvectors solution problem. (PCA) can be said to be an adaptive data analysis technology because technology variables are developed to adapt to different data types and structures. This review will start by introducing the basic ideas of (PCA), describe some concepts related to (PCA), and discussing. What it can do, and reviewed fifteen articles of (PCA) that have been introduced and published in the last three years.