Miracle-dz/UniFAR-FTUs huggingface dataset:
Conformational and structural diversity of iridium dimethyl sulfoxide complexes

Transition metal complexes containing dimethyl sulfoxide (DMSO) are important precursors in catalysis and metallodrugs. Understanding the solid-state supramolecular structure is crucial for predicting the properties and biological activity of the material. Several crystalline phases of DMSO-coordinated iridium anions with different cations, potassium (1a) and n-butyl­ammonium (1b), were obtained and their structures determined by X-ray crystallography. Compound (1a) is present in two solvatomorphic forms: α and β; the β form contains disordered solvent water. In addition, the structures exhibit different rotamers of the trans-[IrCl4(DMSO)2]− anion with the trans-DMSO ligands being oriented in anti and gauche conformations. In consideration of these various conformers, the effects of the crystallized solvent and intermolecular interactions on the conformational preferences of the anion are discussed. In addition, density functional theory calculations were used to investigate the energies of the anions in the different conformations. It was found that hydrogen bonds between water and the DMSO complex stabilize the gauche conformation which is the least stable form of the trans-DMSO complex. Consequently, by controlling the number of hydrogen-bond donors and acceptors and the amount of water, it may be possible to obtain different solvatomorphs of clinically significant metallodrugs.
Impact of climate change on monthly streamflow in the Verde River Basin using two hydrological models

This study assessed the impact of climate change on monthly streamflow in the Verde River Basin, located in the Grande River Basin headwater. For this purpose, the SWAT and VIC hydrological models were used to simulate the monthly streamflow under RCP4.5 and RCP8.5 scenarios, obtained by Regional Climate Models Eta-HadGEM2-ES, Eta-CanESM2 and Eta-MIROC5 in the baseline period (1961-2005) and three time-slice (2011-2040, 2041-2070, and 2071-2099) inputs. At the end of the century, the Eta-HadGEM2-ES showed larger decrease of precipitation in both radiative scenarios, with an annual reduction of 17.4 (RCP4.5) and 32.3% (RCP8.5), while the Eta-CanESM2 indicated major warming, with an annual increase of 4.7 and 10.2°C under RCP4.5 and RCP8.5, respectively. As well as precipitation changes, the Eta-HadGEM2-ES also showed greater impacts on streamflow under RCP4.5 for the first time-slice (2011-2040), with an annual decrease of 58.0% for both hydrological models, and for the RCP8.5 scenario by the end the century (2071-2099), with an annual reduction of 54.0 (VIC model) and 56.8% (SWAT model). Regarding monthly streamflow, the Eta-HadGEM2-ES and Eta-CanESM2 inputs indicated decrease under the RCP8.5 scenario by the end the century, varying from 7.2 to 66.3 % (VIC model) and 37.0 to 64.7% (SWAT model). In general, Eta-MIROC5 presented the opposite in terms of direction in the simulations with both hydrological models at the end of the century. Combined effects of climate models, hydrological model structures and scenarios of climate change should be considered in assessments of uncertainties of climate change impacts.
Comparison of Probe with Bath Ultrasonic Leaching Procedures for Preparation to Heavy Metal Analysis of Bio-Collectors Prior to Atomic Absorption Spectrometry

ABSTRACT Both comparison and optimization of two sample preparation methods (probe and bath) based on leaching of lead (Pb), zinc (Zn), manganese (Mn) and nickel (Ni) from bio-collector sprouts (Pinus sylvertris L., Picea orientalis L., Thuja orientalis L.) under ultrasonic effect has been examined. The best analytical conditions influencing leaching such as sonication times, acid type, acid concentrations, ultrasound amplitude and sample position (wet, dry and grinding) were determined. Leachatants obtained upon sonication were directly nebulized into an air-acetylene flame for fast metal determination by atomic absorption spectrometry (AAS). Optimum conditions for ultrasonic metal leaching were as follows: a 15 min for probe or 30 min for bath sonication time, wet sample position, nitric acid (HNO3) solvent, 1% (w/v) for probe or 2% (w/v) for bath solvent concentration and 20% amplitude for probe. Comparable results for the ultrasonic leaching with probe (UL-P) and the ultrasonic leaching with bath (UL-B) for metals in certified reference material and bio-collectors have been obtained. Besides, UL-P reduces the time required for all treatments with UL-B approximately from 30 min to 15 min. The accuracy of methods was tested either by comparing obtained results with those of ashing method (AM) or by application on a certified reference material (CRM-7, Tea Leaves). The recoveries of metals using CRM-7 ranged from 94% to 104% for UL-P and 91% to 101% for the UL-B. The precision variance either between UL-P and UL-B or UL-P and AM was not significant at 0.05 probability for all metals. The relative standard deviation % was obtained between 3.4–7.6% (n = 3) and 4.7–9.5% (n = 3) for UL-P and UL-B, respectively, depending on the analyte.
Deterministic Asynchronous Scheduling with Probabilistic Reliability Guarantee in Industrial Wireless Networks

Industrial Wireless Networks (IWNs) play a critical role in industry 4.0 applications. However, industrial control processes require deterministic data delivery with an extremely high reliability, which is challenging in harsh IWN environments. Existing scheduling schemes rely mainly on accurate global synchronization to ensure deterministic transmission, which incurs additional hardware cost and a large communication overhead. To eliminate the synchronization requirements, we propose an asynchronous scheduling model that supports arbitrary time offset between any node pairs. As finding a solution with a given reliability guarantee in this model is a NP-hard problem, we design a probabilistic algorithm based on the Monte Carlo tree search (MCTS) method to generate and verify feasible schedules. The simulation results show that E-MCTS is significantly better in transmission reliability if compared to the classic Monte Carlo tree search algorithm.
Industrialisation for structural transformation: Economy-wide impacts of agro-processing development in Tanzania

ABSTRACT Despite high economic growth rates experienced recently, socio-economic challenges such as poverty still prevail in Tanzania. This has been attributed to unsuccessful economic transformation where labour has moved out of agriculture into mainly relative less productive services and informal sectors, leapfrogging the highly productive manufacturing sector. The government is targeting the expansion of agro-processing activities for economic transformation and four policy options were explored. Results of a computable general equilibrium model indicated that policies such as (1) attracting foreign direct investment to improve productivity should be encouraged, especially if (2) coupled with export strategies. (3) Agricultural expansion is also crucial to expand the input base for agro-processing activities. (4) Non-targeted policies such as improving education may not be sufficient for the sector’s expansion but are crucial for the expansion of the whole economy. Government should be mindful of the varied implications of different policies on factor returns and household incomes.
The Country Ceiling and Sovereign Rating Relationship Exemplified by the Case of Poland

The aim of the article is to answer the question whether the ratings of entities registered in Poland are limited by the sovereign rating of the country. The author theorises that the sovereign rating of Poland does not constitute the upper limit for ratings granted by the Big Three (Fitch Ratings, Moody’s and Standard & Poor’s) to Polish financial and non‑financial entities. The databases of three leading rating agencies were queried, selecting all (52) long‑term foreign ratings assigned to entities registered in Poland. The analysis indicates that currently no confirmation can be found of the use of the country ceiling principle, according to which the rating of any entity registered in a given country cannot be higher than its sovereign rating, by rating agencies (7.7% of rated entities in Poland is given higher rating than the sovereign one). This is at the same time a higher percentage than the average for all Big Three ratings, amounting to approx. 3%. The country ceiling is an upper, potential sovereign rating bound, resulting from the T&C risk. In the case of entities registered in Poland, however, their rating is a maximum of one notch higher than the sovereign rating, which in turn is in line with the policy that Standard & Poor’s officially announced as the only agency among the Big Three (the rating of an entity registered in a given jurisdiction can be up to four notches higher than the sovereign rating). The analysis of ratings assigned to Polish entities also indicates that a rating above the sovereign rating awarded by a given credit rating agency does not translate into similar actions of other agencies. This paper analyses the relationships between the concepts of country risk, T&C risk and sovereign risk. Another original contribution is establishing how the country ceiling principle used by rating agencies works in practice and verifying the scope of application of this principle in the Polish economic reality.
Portable Molecular Diagnostics Device for Identification of Asini Corii Colla by Loop-Mediated Isothermal Amplification

Asini Corii Colla (ACC; donkey-hide glue) is one of the most valuable tonic traditional Chinese medicines. Because of the large demand for gelatinous Chinese medicines, bovine or swine skin was sometimes used to make adulterated gelatine in recent decades. Food chemicals can greatly harm people’s health, and detecting chemicals in foods is extremely important. A loop-mediated isothermal amplification (LAMP) device with smartphone detection is demonstrated in this study for detecting the DNA of Asini Corii Colla. The complete system is composed of a hand-held box equipped with a smartphone, a cartridge heater, an ultraviolet LED, a disposable reaction tube, and a homemade thermal module. All the processes are powered by a set of rechargeable batteries. Comprehensive experiments of measuring temperature profiles are presented, which showed the accuracy of temperature under thermal control is less than 0.5 °C. By implementing one heating module with an ATmega328p-au microcontroller in the device, the DNA mixture is heated directly up to the reaction temperature within 5 min. Next, a DNA segment of Asini Corii Colla is utilized to evaluate the sensitivity of the DNA amplification in the portable device. A limit of detection to a concentration of 10−4 ng/μL is achieved. Real-time detection of Asini Corii Colla by a smartphone camera can be achieved using this portable device. The unique architecture utilized in this device is ideal for a low-cost DNA analysis system.
Selective and Simultaneous Removal of Ni (II) and Cu (II) Ions from Industrial Wastewater Employing a Double Ni-Cu-Ion Imprinted Polymer

In this paper, a Ni-Cu ion imprinted polymer was synthesized and employed for the simultaneous removal of high levels of copper (II) and nickel (II) ions from wastewater. Bulk polymerization technique employing methacrylic acid, ethylene glycol dimethylacrylate, azobisisobutyronitrile as the functional monomer, cross linker and initiator respectively was used to synthesize the ionic imprinted polymer. Rigorous template removal was conducted employing increasing hydrochloric acid concentration ranging from 1.0 M to 10.0 M. The chemical characteristic of the prepared polymer was evaluated by employing Fourier Transform Infrared Spectroscopy. Adsorption parameters including contact time, pH and prepared polymer dosage were investigated and found to be 12 min, 7.0 and 665.5 mg/L respectively. The prepared Ni-Cu ions imprinted polymer showed excellent copper (II) and nickel (II) ions removal efficiency from wastewater as indicated by the 89.1% and 83.2% at n = 3 removal of total copper (II) and nickel (II) ions in the wastewater sample.
Test items of 3D printed copper alloy parts based on virtual reality technology

Today, with the rapid development of virtual reality technology, 3D printing technology has gradually gained people's attention. Copper alloy parts have a wide range of uses in our lives, but due to the high technology required, production is more difficult. In order to make copper alloy parts more widely used, this paper uses 3D printing technology to print copper alloy parts, and through comparative experiments, the printed copper alloy parts are analyzed in detail. In the printing process, by adjusting the printing parameters, different parts are printed, and the printing results are analyzed for different parameters. The experimental results show that the experimental 3D printing technology can successfully print copper alloy parts. During the printing process, the input parameters have an extremely important effect on the results. The experimental results show that there are related parameters in the printing process, such as layer height, length, density, etc., which will cause deviations in the printing results. Among them, the layer height and length have the most important effect on the results, accounting for more than 50% of the deviation value. This shows that based on virtual reality technology, the use of 3D printing copper alloy parts is achievable.
Acute ophthalmic manifestations in Mycoplasma induced rash and mucositis.

Background: The purpose of the current study is to demonstrate the prevalence of ocular complications in patients suffering with MIRM, an eruption clinically distinct from Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN). Methods: In this retrospective observational study, we identified all patients in our hospital database who were diagnosed with MIRM. Diagnosis was confirmed by clinical information and a positive Mycoplasma pneumoniae serology. Only patients with available records with formal ophthalmology consults were included. Clinical and laboratory data were collected from our electronic medical record system.Results: A total of 11 patients were included in our study. The average age was 22 ± 15.2 years, and the majority were male (63.6%). In all 22 eyes, the acute ocular findings were limited to conjunctival hyperemia (n=18, 81.8%), meibomitis (n=2, 9.1%), and conjunctival epithelial defects (n=1, 4.5%). None of the patients were treated with amniotic membrane transplantation in the acute phase. Three patients received follow-up eye examinations; none showed ocular complications.Conclusions: Ocular complications from MIRM appear to be milder in comparison to ocular complications found in other bullous and inflammatory conditions such as SJS/TEN. Understanding the ocular sequelae of MIRM is important to better inform acute and chronic management.
Indole-3-acetic acid production by rhizobacteria Bacillus spp. to various abiotic stress factors

Indole-3-acetic acid (IAA) phytohormone plays an essential role in forming and initiating main, lateral, and adventitious roots in vegetative propagation. Plants are receiving IAA naturally from a diverse group of soil-plant associated rhizobacteria. However, IAA synthesis by rhizobacteria is influenced by abiotic growth conditions. Three indigenous Bacillus isolates were subject to in vitro assay for the effects of abiotic factors (temperature, salinity and pH) on growth and IAA production. All isolates grew well between 25 - 40°C, and only B. megaterium UPMLH3 was capable of synthesising IAA (21.18 µg/ml) at 40°C. All three bacterial growth under saline stress were slightly dropped over control (0% NaCl), but still producing IAA up to 1% NaCl condition. B. cereus UPMLH24 revealed high resistance to salinity up to 5% NaCl. The optimum growth of all three Bacillus spp. was at pH 7. B. cereus UPMLH1 and UPMLH24 discovered higher IAA production in slightly alkaline conditions (pH 8). Each rhizobacterium shows different physiology trait against each abiotic factor. However, the multiple tolerance ability of PGPR against abiotic factors is an indication that its ability to survive under harsh soil and plant environments while delivering benefits to the plant. Thus, B. cereus UPMLH1, B. megaterium UPMLH3 and B. cereus UPMLH24 might serve as potential biofertiliser, enhancing the growth performance of test plants at various environmental conditions.
Relationship between Plasma Vascular Endothelial Growth Factor (VEGF) and Ovarian Cancer Staging

Ovarian cancer is the 8th most common cancer that occurs in most women. In a 2018 survey by Global Cancer Statistics in 185 countries of all cancer cases, 3.4% were caused by ovarian cancer. Vascular endothelial growth factor is a multifunctional cytokine that stimulates angiogenesis and increases microvascular permeability by binding to receptors located in endothelial cells in blood vessels. Immature platelet fraction (% IPF) is a modern parameter that measures young platelets and reticulation in peripheral blood. The purpose of this study was to look at differences in plasma VEGF and IPF levels between ovarian cancer sufferers and staging of ovarian cancer. This type of research is a cross sectional observational study of VEGF and Ovarian Cancer stage. A total of 18 people with ovarian cancer were sampled before surgery and after surgery an anatomy pathology examination was performed to assess early stage and advanced cancer staging. From 18 patients with ovarian cancer obtained from the early stage ovarian cancer group and advanced stage group. Obtained a median age of 50 (42-63), whereas in the advanced stage group a median age of 51 (19-68) was obtained. There is a significant difference between VEGF levels in early and advanced stage ovarian cancer with a value of p = 0,000. Using the Spearman Correlation test to assess the correlation between tumor size and VEGF levels, p values <0.001 with r = 0.742 were obtained. The conclusion of this research are advanced stage ovarian cancer VEGF is significantly higher P = 0.001 compared to early stage. Keywords: VEGF, Ovarian Cancer.
Morphologic Evaluations of Hypoglossal Canal using Cone Beam Computed Tomography

Hypoglossal canal (HC) which begins from very slightly above the inner part of the anterolateral portion of the foramen magnum and is located above the occipital condyle of the occipital bone. The aim of this study is to examine HC morphology and variations using cone beam computed tomography (CBCT). The morphology and types of HC were investigated with 303 CBCT images (606 side). Type 1 variation in 606 HC examined becomes the most commonly observed type (57.3%) while type 5 variation was the least common type of variation (0.8%). Type 1 HC was statistically higher in males (p=0.004). Because of HC, which is an anthropologically important point and enters the field of images in CBCT scan, it is recommended that dental radiologists should be aware of their variations and be wary of the pathologies that may occur in this region.
Iterative Learning Based Torque Ripple Suppression of Flux-Modulation Double-Stator Machine

Due to the double-layer airgap configuration, the even-order harmonic components exist in the phase back electromotive force (EMF) of flux-modulation electrically excitation double-stator synchronous machine (FMEE-DSM), thus resulting in relatively high torque ripples. To promptly and effectively suppress these torque ripples, this article proposes and implements a second-order iterative learning control (ILC) strategy to minimize the main harmonic torque components based on the periodically repetitive characteristic of torque ripples in the FMEE-DSM. Via harmonic analysis on the torque ripples caused by the cogging torque and the nonsinusoidal induced EMFs, the dominative harmonic component, namely, the seventh-order component, can be precisely identified and then involved in the proposed ILC for torque ripple suppression. To verify the feasibility of proposed control strategy, a test bench of the FMEE-DSM control system was built based on dSPACE 1103. Accordingly, both the static and dynamic performances of the FMEE-DSM were investigated under the conditions of no-load and rated load. The theoretical analysis, computer simulation, and hardware experimentation are given to verify the proposed second-order ILC.
Sensors on Nonconventional Substrates Developed through Printing Technologies

This paper presents the development of sensors on nonconventional substrates realized through the fast emerging printing technologies. Drop-on-demand inkjet, screen printing and aerosol jet printing are the leading rapid manufacturing techniques. The functional nanomaterials in their solution form are used for patterned deposition in a single pass making the process simple and very cost-effective. The patterned deposition and deterministic placement of various functional materials ranging from conducting, semiconducting and insulators are central to the development of a wide range of sensing devices. These devices being developed on nonconventional substrates particularly made from polymeric materials are playing significant role in advancements of printed wearable sensors and transducers. Here in this paper, we summarize some of our recent developments made towards realizing sensors on multiple substrates. A particular focus is oriented towards printing technologies for developing sensors in various geometric configurations. Also, few of the challenges faced by printing technologies are highlighted.
The Portilla-Simoncelli Texture Model: towards Understanding the Early Visual Cortex

Texture synthesis is a proliﬁc subarea in computer vision where statistical methods are often successful. The Portilla and Simoncelli (PS) texture algorithm is one of such methods that became very popular and has inﬂuenced visual perception studies. For many reasons it can still be considered as a state-of-the art texture synthesis algorithm: (i) it generates textures that are often indistinguishable from the original without scrutiny; (ii) it relies on few parameters compared to recent deep learning methods; (iii) recent algorithms often compare to it. Here, we review the scientiﬁc impact of this algorithm and give a detailed explanation. Brieﬂy, the PS algorithm synthesizes a new texture by iteratively imposing to a Gaussian white noise image a set of high-order statistics of wavelet coeﬃcients precomputed on a texture example. After few iterations the initial white noise image is transformed into a texture that is similar to the texture example. We provide a fast C++ implementation, evaluate the eﬀect of the algorithm parameters and illustrate its capabilities with many synthesis examples. In addition, we propose two notable new features to the original implementation: (i) the possibility to interpolate be-tween two textures; (ii) the possibility to handle non-periodicity using the “periodic+smooth” decomposition.