Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficiency Enhancement in a Multi-coil Wireless Power Transfer System

Wireless power transfer technology via magnetic resonance coupling now has significant interest in industry and research with many applications. This paper proposes a linear multiple transmitter coil array (5 coils) for wireless power transfer for added gain and hence higher transfer efficiency in comparison to a single transmitter coil. The frequency splitting effect as a result of the coupling between the resonant transmitter coils due to their close proximity is shown to reduce the transfer efficiency to a receiver. The effect of the array spacing on splitting effect suppression is verified. It is shown that the splitting effect is sup-pressed as the distance between the coils is increased leading to a higher received signal and hence higher efficiency. Proposed horizontal displacement of the middle transmitter coils (2nd and 4th coils) in the coil array is shown to suppress frequency splitting. To further suppress the splitting effect due to the magnetic coupling between the transmitter coils, a multiple transmitter array is proposed with different coil turns. Thus it is shown that designing the multiple coil array with mixed number of coil turns (the 2nd and 4th coils are designed to have different number of turns as compared to the other three coils) causes uniform coupling among the coils reducing and eventually eliminating the splitting effect. Also to increase the efficiency at the receiver coil, displaced stacked coils are introduced on top of the coil array. The pro-posed stacked coil array is demonstrated to improve the transfer efficiency. Using the techniques, the proposed linear array structure achieves a transfer efficiency of 36.9% for a receiver coil at the boresight of the array at a transfer distance of 40 cm.
Species‐dependent Response of the Martian Ionosphere to the 2018 Global Dust Event

Global dust storms (GDS) are an important dynamical phenomenon of the Martian lower atmosphere but are known to have important impacts on the Martian middle/upper atmosphere and ionosphere. Despite extensive studies over the past several decades, how the composition of the Martian ionosphere is modified during the GDS has only been studied from a theoretical point of view. Here we present for the first time the observations of the compositional variation of the Martian ionosphere during the GDS in 2018, using the ion density measurements made by the Neutral Gas and Ion Mass Spectrometer onboard the Mars Atmosphere and Volatile Evolution. At a representative altitude of 170 km, the variations of ionospheric species during the GDS show either enhancement ( CO2+ , Ar+, HO2+ , H2O+, H2+ , ArH+) or depletion ( O2+ , O+, N2+ /CO+, OH+). Despite the apparent diversity, the observations are mostly understandable within the established framework of ionospheric chemistry on Mars, which further demonstrates that the variation of ion species during the GDS is a good diagnostic of the variation of relevant neutral species in the thermosphere. In particular, the observed ionospheric variation strongly supports a scenario that H2O is substantially enhanced in the Martian thermosphere during the GDS. However, the variations of O2+ and H2+ are inconsistent with predictions from ionospheric chemistry and require further investigation.
THE STRUCTURES OF CYTOTOXIC DITERPENES CONTAINING BROMINE FROM THE MARINE RED ALGA LAURENCIA OBTUSA (HUDSON) LAMOUROUX

Four new brominated diterpenes possessing parguerane or isoparguerane skeleton have been isolated from the title alga collected in the Japanese waters along with several known parguerol, isoparguerol, and deoxyparguerol congeners. The structures of three new compounds were determined by the chemical correlation with the corresponding known compounds. The structural elucidation of the remaining one was carried out on the basis of a combination of chemical and spectroscopic means including 2D NMR technique. One of the new metabolites has proved to be cytotoxic. The cytotoxic properties of the several chemically derived compounds in addition to the known diterpenes are also described.
Sodium silicate as source of silica for synthesis of mesoporous SBA-15

Ordered mesoporous silica SBA-15 was prepared using hydrothermal synthesis using sodium silicate (Na2SiO3) as the silica source and amphiphilic block copolymer Pluronic P123 as the structure directing agent. The influence of the mass Na2SiO3, ripening duration, aging time and calcination temperature on the structural and mesoporous properties of silica was studied. X-ray diffraction (XRD), Fourier transform infrared (FTIR), Scanning electron microscopy (SEM) and the nitrogen adsorption desorption using Brunauer Emmett Teller (BET) are some instruments used to characterize the results of investigation. From XRD analysis, SBA-15 synthesized from sodium silicate yield 2D-hexagonal symmetry (p6mm). From FTIR analysis, functional group Si-O-Si symmetric stretching modes and asymmetric Si- O-Si stretching modes were present. The sample with the highest mass of Na2SiO3 and the shortest aging time exhibited the largest surface area and large pore size. The results also showed the morphological structure could be tuned during ripening stage.
Retrospective Analysis of the Effect of Three-Dimensional Preformed Titanium Mesh on Peri-Implant Non-Contained Horizontal Defects in 100 Consecutive Cases

This study aimed to clinically and radiographically evaluate the results of guided bone regeneration (GBR) using three-dimensional preformed titanium mesh (3-D-PFTM) for non-contained horizontal defects in 100 consecutive cases. This study involved 100 patients (129 implants) with peri-implant non-contained horizontal defects. The patients were divided into three groups: 3-D-PFTM alone (Group 1), 3-D-PFTM plus cross-linked collagen membrane (Group 2), and 3-D-PFTM plus non-cross-linked collagen membrane (Group 3). Each implant was evaluated radiographically using CBCT at baseline and 6 months postoperatively. At the platform level, the mean horizontal hard tissue gain of all the sites was 3.1 ± 1.3 mm at 6 months postoperatively. The mean rate of mesh exposure was 11.8% in Group 1, 4.2% in Group 2, and 5.0% in Group 3. The mean hard tissue gain rate was 71.0 ± 23.0% in group 1, 84.2 ± 21.5% in group 2, and 84.0 ± 22.9% in group 3. Groups 2 and 3 showed significantly higher hard tissue gain rates than group 1. However, there was no significant difference between the rates in groups 2 and 3. Within the limitations of this study, 3-D-PFTM should be considered as a valuable option for GBR for peri-implant non-contained horizontal defects. The use of an additional resorbable collagen membrane provides additional advantages.
An Intelligent Deep Learning Based Xception Model for Hyperspectral Image Analysis and Classification

: Due to the advancements in remote sensing technologies, the generation of hyperspectral imagery (HSI) gets significantly increased. Accurate classification of HSI becomes a critical process in the domain of hyperspectral data analysis. The massive availability of spectral and spatial details of HSI has offered a great opportunity to efficiently illustrate and recognize ground materials. Presently, deep learning (DL) models particularly, convolutional neural networks (CNNs) become useful for HSI classification owing to the effective feature representation and high performance. In this view, this paper introduces a new DL based Xception model for HSI analysis and classification, called Xcep-HSIC model. Initially, the presented model utilizes a feature relation map learning (FRML) to identify the relationship among the hyperspectral features and explore many features for improved classifier results. Next, the DL based Xception model is applied as a feature extractor to derive a useful set of features from the FRML map. In addition, kernel extreme learning machine (KELM) optimized by quantum-behaved particle swarm optimization (QPSO) is employed as a classification model, to identify the different set of class labels. An extensive set of simulations takes place on two benchmarks HSI dataset, namely Indian Pines and Pavia University dataset. The obtained results ensured the effective performance of the Xcep-HSIC technique over the existing methods by attaining a maximum accuracy of 94.32% and 92.67% on the applied India Pines and Pavia University dataset respectively.
Implementation of Surprise Question Assessments using the Electronic Health Record in Older Adults with Advanced CKD

Visual Abstract Abstract Key Points The Surprise Question can be successfully integrated into the electronic health record for routine collection to aid in clinical practice. A low response rate indicates additional implementation efforts are needed to encourage integration of the Surprise Question into clinical practice. Assessment of reasons for nonuptake highlighted improving technical implementation and providing additional decision making support. Background The Surprise Question (SQ; “Would you be surprised if this patient died in the next 12 months? ”) is a validated prognostication tool for mortality and hospitalization among patients with advanced CKD. Barriers in clinical workflows have slowed SQ implementation in practice. Objectives The aims of this study were: (1) to evaluate implementation outcomes after the use of electronic health record (EHR) decision support to automate the collection of the SQ; and (2) to assess the prognostic utility of the SQ for mortality and hospitalization/emergency room (ER) visits. Methods We developed and implemented a best practice alert (BPA) in the EHR to identify nephrology outpatients ≥60 years of age with an eGFR <30 ml/min per 1.73 m2. At appointment, the BPA prompted the physician to answer the SQ. We assessed the rate and timeliness of provider responses. We conducted a post-hoc open-ended survey to assess physician perceptions of SQ implementation. We assessed the SQ’s prognostic utility in survival and time-to-hospital encounter (hospitalization/ER visit) analyses. Results Among 510 patients for whom the BPA triggered, 95 (19%) had the SQ completed by 16 physicians. Among those completed, nearly all (98%) were on appointment day, and 61 (64%) the first time the BPA fired. Providers answered “no” for 27 (28%) and “yes” for 68 (72%) patients. By 12 months, six (22%) “no” patients died; three (4%) “yes” patients died (hazard ratio [HR] 2.86, ref: yes, 95% CI, 1.06 to 7.69). About 35% of “no” patients and 32% of “yes” patients had a hospital encounter by 12 months (HR, 1.85, ref: yes, 95% CI, 0.93 to 3.69). Physicians noted (1) they had goals-of-care conversations unprompted; (2) EHR-based interventions alone for goals-of-care are ineffective; and (3) more robust engagement is necessary. Conclusions We successfully integrated the SQ into the EHR to aid in clinical practice. Additional implementation efforts are needed to encourage further integration of the SQ in clinical practice.
Genomic Investigation of Hepatitis E Virus in Persian Gazelle

Background: Numerous studies have shown that a variety of animal species can be the hosts of the hepatitis E virus. In addition to pigs, wild boars, deer, and rats, new types of hepatitis E virus have been found in ferrets and bats. Objectives: Due to the limited reports of virus identification in deer and the potential role of this animal as a reservoir in maintaining the virus, in the present study, the genome of the virus was investigated in the samples of feces and gastrointestinal swabs of Gazelle. Methods: Samples were collected from 50 Gazelle in the protected area of Moteh and the lands around Maymeh City from winter, 2017 to winter, 2019. After RNA extraction and reverse transcription reaction, the genomic identification of the virus was performed by RT-PCR. Results: The results of the present study showed that out of 50 samples taken, three samples were positive for the hepatitis E virus, including one sample from female Gazelle under one year of age and two samples from female animals over one year of age. Conclusions: No statistically significant relationship was found between hepatitis E infection, age, and sex using statistical tests. The present study indicated the contamination of Iranian wildlife animals and the importance of these animals as the potential reservoirs of the disease.
Deproteinization with ZnSO4–Ba(OH)2 reduces the photodegradation of montelukast during plasma sample preparation for HPLC analysis

ABSTRACT Montelukast (MKT), a leukotriene receptor antagonist, degrades when it is exposed to light. The analysis of MKT content in blood plasma by high-pressure liquid chromatography requires several sample preparation steps including deproteinization. This study aimed to evaluate MKT photodegradation in blood plasma samples and optimize a deproteinization method to reduce MKT photodegradation, and thereby improve analytical quality. We evaluated the stability of MKT in water and plasma in real time using high-pressure liquid chromatography and optimized a sample deproteinization procedure by comparing the effectiveness of several deproteinization methods. When exposed to light, MKT photodegraded quickly. Although MKT photodegradation was slightly slower than that in water, a half portion (55%) of the MKT in plasma degraded within 2 h when exposed to light. The rate of MKT photodegradation was dramatically reduced by sample deproteinization using ZnSO4–Ba(OH)2, but it was accelerated by deproteinization through precipitation using methanol or acetonitrile. These results suggest that precautions should be taken when preparing plasma samples for the analysis of MKT, and that deproteinization of such samples using ZnSO4–Ba(OH)2 can reduce the risk of analytical error arising from MKT photodegradation. GRAPHICAL ABSTRACT
Investigation of Structural and Optoelectronic Properties of Organic Semiconductor Film Based on 8-Hydroxyquinoline Zinc

In this work, we investigated an organic semiconductor based on zinc 8-hydroxyquinoline (ZnQ2) and tetracyanoquinodimethane (TCNQ), which can be used as a photoactive layer in organic devices. The semiconductor was optimized by applying density-functional theory (DFT) methods, and four hydrogen bridges were formed between ZnQ2 and TCNQ. Later, thin films of ZnQ2-TCNQ were successfully deposited. The films were structurally and morphologically characterized, and the optical characteristics of the photoactive layer were investigated using ultraviolet–visible spectroscopy and time-dependent density-functional theory (TDDFT) calculations. The comparison and analysis of the experimental and theoretical absorption spectra indicate that the optical bandgap of the photoactive layer is 2.4 eV. Additionally, a flexible photo device was manufactured with the active layer ZnQ2-TCNQ, and its electrical behavior was evaluated under dark and light conditions. The results show a significant change in the behavior of the device when radiation is eliminated; the layer is light sensitive. The electrical resistance in the flexible photo device is associated with the optical behavior of the materials that constitute the active layer.
Durability of Zambia’s Agricultural Exports

This paper establishes the determinants of the export durability of agriculture products in Zambia with specific attention to maize, sugar, cotton, and tobacco between 1996 and 2019. We find that approximately 39% of Zambia’s agricultural products were exported beyond the first year of trading and less than 10% lasted up to 6 years of trading. The mean and median duration of exporting agricultural products in Zambia was 1.7 years and 1 year, respectively. Among the products, maize had the highest export duration after the first year of trading, followed by sugar, tobacco, and cotton. Results of the discrete-time logit and probit models with random effects revealed that the duration of total agricultural products was significantly impacted by common colony, contiguity, partner’s gross domestic product (GDP), Zambia’s GDP, initial exports, and total exports. Of these factors, colonial history and Zambia’s GDP reduced export duration, while contiguity, partner’s GDP, initial exports, and total exports increased the durability of exports in Zambia. The effect of Zambia’s GDP was uniform across all individual agricultural products. Total exports also significantly impacted all other agriculture products in a similar manner except for maize. Export durability for cotton was significantly impacted by the Regional Trade Agreements (RTAs), while the export durability of tobacco was significantly impacted by distance, contiguity, and partner’s GDP. To increase the duration of agriculture exports, we propose the exporting of finished agriculture products (and not just raw materials), which have a higher market value and duration probability. Farmers also need support with export subsidies, increased foreign market access (especially to economies with higher buying power), and negotiated favorable trade terms in the region and around the globe.
Technology for increasing the bioavailability of feed using quorum sensing inhibitors

The article presents the results of studies on increasing the bioavailability of feed, when using oak bark extract (OBE) and quorum sensing inhibitors (QSI) in the diet of cattle, in particular, the effect on volatile fatty acids, pH, ammonia and the content of nitrogen metabolites. The use of OBE and QSI was accompanied by an increase in the concentration of VFAs by 1.17 and 5.56 % (P≤0.05) three hours after feeding. The studies revealed an increase in the concentration of ammonia in the cicatricial content when adding ECD and IR by up to 2.88 and 8.80 % (P≤0.001) 3 hours after feeding, respectively. The same tendency is observed at a 6-hour exposure, the ammonia level increases by 6.08 % (P≤0.01) and 11.08 % (P≤0.001). The effect of oak bark extract on the bioavailability of the forage substrate in the rumen was accompanied by an increase in the total nitrogen content by 2.10% (P≤0.05), and in the group using quorum inhibitors, by 4.41% (P≤0.01). 6 hours after feeding, the content of non-protein nitrogen decreased by 4.56 and 7.45 % (P≤0.01) in the OBE and QSI groups; this indicates a significant rate of nitrogen assimilation by the scar microbiota which converts it into protein.
The relationship of tumor microenvironment and clinico-pathological parameters in different molecular subtypes of breast cancer

Introduction: Tumor microenvironment plays a significant role in tumor progression. Tumor stroma is one of the strongest modifiers of tumor cell response, cancer behavior, and cancer progression. This study aimed to investigate the correlation of matrix metalloproteinase-9 (MMP-9) expression and tumor-stroma ratio (TSR) with standard clinicopathological parameters in different molecular subtypes of breast cancer.Methods: Ninety biopsy samples of primary breast cancer diagnosed at the Department of Pathology, School of Medicine, Sarajevo, were selected for this study. The molecular subtype was determined based on the immunohistochemical expression of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and Ki-67. Stromal and tumoral MMP-9 immunohistochemical expression and the TSR were determined for each tumor.Results: Tumoral MMP-9 expression correlated positively with the presence of lymphovascular invasion (p= 0.016). TSR showed significant association and correlation with tumor grade (G) (p= 0.031; p= 0.049) and tumor size (pT) (p = 0.049;p= 0.021, respectively). Stromal MMP-9 expression correlated with histologic type, histologic grade of tumor, and lymphocytic inflammatory infiltrate (p= 0.021;p= 0.047, p= 0.038, respectively). A higher percentage of stromal MMP-9 expression correlated with the strongest lymphocytic response (p = 0.007). Significant correlation was observed between molecular subtypes and histologic grade of the tumor (p= 0.032). Conclusion: Our results, to some extent, confirm the significance of the tumor microenvironment in breast cancer, especially when it is about stromal MMP-9 expression. Although we observed significant association, without linear correlation, we found no significant correlation between molecular subtypes of breast cancer and MMP-9 expression.
Technologies for automation creation of an ontology of urbanonyms in the aspect of historical changes (on the example of Almaty)

When creating geoinformation systems of a city scale, relation this or that information from Internet, there comes the task of creation an ontology of urbanonyms taking into account their historical changes. The account of historical changes is necessary, for example, to process messages about urban event from blogs: since more and more representatives of the middle and older generations are becoming active Internet users, the massages often contain the former names of urbanonyms. Let us note that it is the accounting of historical changes that is required to solve this problem that determines the need to create not a thesaurus, which is sufficient, as shown in [1], to take into account geographical names commonly used (at least in natural science articles) in their actual from, but an ontology. Taking into account the specifics of the task of creating an ontology of Almaty, in should be bilingual: in the Kazakh and Russian languages.
Online or in Person? Examining College Decisions to Reopen during the COVID-19 Pandemic in Fall 2020

When coronavirus disease 2019 (COVID-19) became a major impediment to face-to-face college instruction in spring 2020, most teaching went online. Over the summer, colleges had to make difficult decisions about whether to return to in-person instruction. Although opening campuses could pose a major health risk, keeping instruction online could dissuade students from enrolling. Taking an ecological approach, the authors use mixed modeling techniques and data from 87 percent of two- and four-year public and four-year private U.S. colleges to assess the factors that shaped decisions about fall 2020 instructional modality. Most notably, the authors find that reopening decisions about whether to return to in-person instruction were unrelated to cumulative COVID-19 infection and mortality rates. Politics and budget concerns played the most important roles. Colleges that derived more of their revenue from tuition were more likely to return to classroom instruction, as were institutions in states and counties that supported Donald Trump for president in 2016.
Changes in Air Temperature and Snow Cover in Winter in Poland

The primary objective of the paper was to characterize the climatic conditions in the winter season in Poland in the years 1966/67–2019/20. The study was based on daily values of minimum (Tmin) and maximum air temperature (Tmax), and daily values of snow cover depth. The study showed an increase in both Tmin and Tmax in winter. The most intensive changes were recorded in north-eastern and northern regions. The coldest winters were recorded in the first half of the analyzed multiannual period, exceptionally cold being winters 1969/70 and 1984/85. The warmest winters occurred in the second half of the analyzed period and among seasons with the highest mean Tmax, particularly winters 2019/20 and 1989/90 stood out. In the study period, a decrease in snow cover depth statistically significant in the majority of stations in Poland was determined, as well as its variability both within the winter season and multiannual.