Miracle-dz/UniFAR-FTUs huggingface dataset:
CNN-Enhanced graph attention network for hyperspectral image super-resolution using non-local self-similarity

ABSTRACT The small-sample problem that widely existed in the hyperspectral image (HSI) super-resolution task will lead to insufficient feature extraction in network training. Therefore, it is necessary to design an effective network to extract the feature of HSIs fully. In addition, existing HSI super-resolution (SR) networks usually capture multiple receptive fields by staking massive convolutions, which will inevitably produce many parameters. In this paper, we propose a novel HSI SR network based on the convolution neural network enhanced graph attention network (CEGATSR), which can fully capture different features by using a graph attention block (GAB) and a depthwise separable convolution block (DSCB). Moreover, the graph attention block can also capture different receptive fields by using relatively few layers. Specifically, we first divide the whole spectral bands into several groups and extract the features separately for each group to reduce the parameters. Second, we design a parallel feature extraction unit to extract non-local and local features by combining the graph attention block (GAB) and the depthwise separable convolution block (DSCB). The graph attention block makes full use of the non-local self-similarity strategy not only to self-learn the effective information but also to capture the multiple receptive fields by using relatively few parameters. The depthwise separable convolution block is designed to extract the local feature information with few parameters. Third, we design a spatial-channel attention block (SCAB) to capture the global spatial-spectral features and to distinguish the importance of different channels. A large number of experiments on three hyperspectral datasets show that the proposed CEGATSR performs better than the state-of-the-art SR methods. The source code is available at [Online]. Available: https://github.com/Dongyx1128/CEGATSR.
Plant fossils from the Talchir and coal-bearing Formation of South Rewa Gondwana Basin, India and their Biostratigraphical significance

Plant fossils belonging to the Talchir and coal-bearing formations (Lower Permian) of four areas, namely Umaria, Birsinghpur Pali, Anuppur and Chirimiri of the South Rewa Gondwana Basin are described. The Talchir flora is represented by a few species of Gangamopteris and Noeggerathiopsis, while the megafossils from the coal-bearing formation are represented by various species of Glossopteris, Gangamopteris, Noeggerathiopsis and Vertebraria. A new species of Noeggerathiopsis, N. minor, has been recognized. It has also been observed that the flora of the coal-bearing beds in these areas is characterized by the dominance of Gangamopteris and Noeggerathiopsis. This suggests that these beds of the South Rewa Gondwana Basin are equivalent to the Karharbari ‘Stage’ of Peninsular India.
Modeling of Uneven Air Gap Magnetic Field for Disc Planetary Permanent Magnet Machine With Segmented Gap Halbach Array

A new analytical magnetic circuit hybrid model (AMCHM) is proposed to predict uneven air gap magnetic field for disc planetary permanent magnet machine (DP-PM machine) with segmented gap Halbach array. The 3-D model is transformed into 2-D model by using radial sectors-of-rings division method and coordinate transformation. The 2-D magnetic field model is obtained by analytical method, and the magnetic equivalent circuit (MEC) model is used to consider the leakage flux loops with and without magnetic coupling. Finally, the analytical models of uneven air gap magnetic field and torque are obtained. The results obtained from proposed model are in good agreement with those of 3-D finite element method (FEM), which verifies the validity of AMCHM. Compared with 3-D FEM model, the AMCHM is convenient for the analysis and optimization of structure parameters, and it improves the calculation efficiency. The research results can be utilized for the research on structural optimization and power analysis.
Design of Compact Class-F High-Efficiency Shunt-Diode Rectifier With Extended Harmonic Termination for Wireless Power Transfer

This letter presents the compact and high-efficiency Class-F rectifier with a novel multiharmonic termination network for wireless power transfer (WPT). This network deploys only four transmission lines (TLINs), which allows harmonic control up to the sixth order and provide fundamental input impedance matching, simultaneously; enabling an efficient Class-F behavior. The implemented rectifier exhibits a superior power conversion efficiency of 82.2% at 2.4 GHz for an input power level of 15 dBm, and has a size of $0.24\,\,\lambda \times 0.16\,\,\lambda $ , indicating clear advantages in high power conversion efficiency (PCE) and compactness over the other designs.
Comorbidity Index in Predicting Toxicity and Mortality Risk among patient Undergoing Hematopoietic Stem Cell Transplantation

Background: Despite current improvement in supportive care, mortality after hematopoietic stem cell transplantation remains high. Depending on the diagnosis, this procedure is indicated as the frontline treatment Aim: Assess comorbidity index in predicting toxicity and mortality risk among patient undergoing hematopoietic stem cell transplantation through: assess comorbidities of patient’s pre-hematopoietic stem cell transplantation, assess toxicity and mortality risk post hematopoietic stem cell transplantation & assess the relation of pre-transplantation comorbidity scores and post transplantation-related toxicity and mortality in patients undergoing hematopoietic stem cell Transplantation. Study design: A descriptive retrospective design was utilized to conduct this study. Subject: A purposive sample of (44) patients undergoing allogeneic hematopoietic stem cell transplantation was recruited in this study. Setting : This study conducted at The Bone Marrow Transplantation Unit in Nasser institute for research and treatment. Tools: Tool I. Patient structured interview questionnaire, Tools II. The hematopoietic stem cell transplantation specific-comorbidity index (HCT-CI) & Tools III Seattle Criteria for Organ Toxicity after Bone Marrow Transplantation. Results: The study revealed that there was a positive Correlation between comorbidity, organ toxicity and total mortality post bone marrow transplantation with p value 0.01. Conclusion: Comorbidity index is an important tool to predict toxicity and mortality rate among patient undergoing hematopoietic stem cell transplantation as there was a positive correlation between patient’s comorbidity (obesity, cerebrovascular disease, cardiac disease, infection, renal disease, prior malignancy, hepatic disease and psychiatric disorder) and total toxicity and mortality post bone marrow transplantation . Recommendations: Apply Comorbidity Index in predicting toxicity and mortality risk among patient undergoing Hematopoietic Stem Cell Transplantation.
GENETIC CONSTRUCTION OF BROAD HOST RANGE Bradyrhizobium japonicum

Protoplast fusion and conjugation were used to expand the Rhizobium host range. B.japonicum AS25 and R.leguminosarum biovar vicia ICARDA441 were fused and six, genetically stable, fusants were isolated. No fusants were obtained when B.japonicum BR20 and Agrobacterium tumefaciens CB were fused. Conjugation technique was done between Agrobacterium tumefaciens CB and twenty-five B.japonicum strains, which isolated from different Egyptian governorates. Fourteen conjugants were selected according to their variant antibiotic resistance (Genetic marker). The six fusants were able to nodulate both soybean and Vicia faba , while the fourteen conjugants were able to nodulate both clover and soybean. Plasmid profiles and phyllogenetic analysis of the parents; B.japonicum AS25 and R.leguminosarum biovar vicia ICARDA441, and their six fusants were done. All fusants and conjugants were characterized and their relatedness were determined according to plasmid profiles.
Factors Influencing Entrepreneurial Intention: Focusing on Individuals’ Knowledge Exploration and Exploitation Activities

With rapid changes in industrial environments, the role of start-ups and their initial attempts toward the market are regarded as critical initiates. To increase the number of young start-up entrepreneurs, it is important to understand the relationship between entrepreneurial intention and its antecedents. Drawing on the organizational learning theory, we adopt the concept of exploration and exploitation as mediating roles of entrepreneurial intention as individual-level perspectives. Additionally, we consider innovativeness, self-efficacy, and internal locus of control as antecedents of two learning activities. The results indicate that each learning activity successfully supports the entrepreneurial intention, which requires a complex decision-making process and long-term efforts. This research discusses practical implications and guidelines for entrepreneurship education programs further.
Tissue Culture of Plagiochasma appendiculatum and the Effect of Callus Differentiation on Types and Content of Bisbibenzyls

Plagiochasma appendiculatum, a thalloid liverwort, contains high levels of bisbibenzyls, aromatic compounds with potent antitumor as well as antifungal activities. In the present study, rapid growth callus was induced from the thallus of P. appendiculatum, and optimal culture conditions, including medium, temperature, pH, and plant growth regulators for callus production were evaluated. Under optimal culture conditions, the biomass of the callus doubled with a sigmoidal growth curve after 15 days. Differentiation and plant regeneration were studied on a medium supplemented with different plant hormones (α-naphthaleneacetic acid [NAA], 6-benzyladenine [6-BA], and 2,4-dichlorophenoxyacetic acid [2,4-D]). NAA and 6-BA stimulated rhizoid and thallus differentiation, respectively, whereas 2,4-D inhibited the differentiation of thallus and rhizoid. Different metabolic profiles of callus, differentiated thallus, and thallus in the soil were studied by high-performance liquid chromatography. The results showed that both the callus and thallus could synthesize bisbibenzyls. In addition, the kinds and content of bisbibenzyl differed significantly between the callus and thallus. In conclusion, P. appendiculatum thallus cultured in vitro possesses the ability to biosynthesize bisbibenzyl, and it may be utilized for the mass production of specific bisbibenzyls in an appropriate growth environment.
Multilayer Graphtriyne Membranes for Separation and Storage of CO2: Molecular Dynamics Simulations of Post-Combustion Model Mixtures

The ability to remove carbon dioxide from gaseous mixtures is a necessary step toward the reduction of greenhouse gas emissions. As a contribution to this field of research, we performed a molecular dynamics study assessing the separation and adsorption properties of multi-layered graphtriyne membranes on gaseous mixtures of CO2, N2, and H2O. These mixtures closely resemble post-combustion gaseous products and are, therefore, suitable prototypes with which to model possible technological applications in the field of CO2 removal methodologies. The molecular dynamics simulations rely on a fairly accurate description of involved force fields, providing reliable predictions of selectivity and adsorption coefficients. The characterization of the interplay between molecules and membrane structure also permitted us to elucidate the adsorption and crossing processes at an atomistic level of detail. The work is intended as a continuation and a strong enhancement of the modeling research and characterization of such materials as molecular sieves for CO2 storage and removal.
DIFFERENTIAL DISPLAY OF IN VITRO TRANSLATION AND SUBTRACTIVE ENRICHED cDNA FOR mRNAs FROM GRAFTED AND UNGRAFTED F1 MELON HYPRID ON Lagenaria siceraria ROOTSTOCKS

The four grafted melon genotypes; Ismaillawi, Ananas El-Dokki, PI 124111 and the F1 (Ismaillawi PI124111), on Lagenaria siceraria rootstocks were found to have higher mean values of all studied developmental characters than the respective values of ungrafted genotypes. The differential increase in developmental characters in different scion genotypes revealed that the PI124111 followed by the F 1 (Ismaillawi x PI124111) were the best combination with this rootstock under irrigation conditions using under-ground water of EC 1.7 m.mhos. In vitro translated mRNAs isolated from leaves of dark-treated grafted and ungrafted melon genotypes on Lagenaria siceraria rootstock, showed that after one week of grafting date, mRNA samples of F 1 (Ismaillawi x PI 124111) expressed two more protein bands (108.4 and 41.7KD) than those of ungrafted plants. After two weeks of grafting date, mRNAs of leaves of dark-treated grafted F 1 plants showed to have the transcript of additional third protein band with a molecular weight of 67KD which was also found to be absent of in vitro translated mRNAs of respective ungrafted plants. The differential display of in vitro translated mRNAs of roots and leaves of both scion and rootstock of dark-untreated plants showed that the two unique protein bands (108.6, 42KD) which were also appeared in L. siceraria roots found in the in vitro translated mRNA samples of leaves of F1 melon scion grafted on L. siceraria rootstock. The results suggest that both the two transcripts of mRNAs either might be migrated from the roots of L. siceraria rootstock to scion leaves or stimulated to be transcribed in scion leaves as a response of signals originated in roots of the rootstock. Positive subtractive enriched cDNA fragment, after two rounds of PCR amplification, was observed with a size of about 200bp which will be used as a probe for fishing a complete cDNA involved in enhancing the developmental characters of grafted melon plants on L. siceraria rootstocks.
Effects of Acid Modulators on the Microwave-Assisted Synthesis of Cr/Sn Metal-Organic Frameworks

Metal-organic frameworks (MOFs) have attracted remarkable attention for their distinguished structural designability. Precisely controlling the particle size and improving the structural stability of MOF nanoparticles influence their catalytic activity significantly. In this study, six acids (nitric, hydrochloric, formic, acetic, succinic, and citric acids) were used as modulators to prepare bimetallic MIL-101 (Cr, Sn) (MIL stands for Materials of Institut Lavoisier) via a microwave-assisted hydrothermal method. Changes in volumetric, structural, stability, and catalytic properties, size, and shape of MIL-101 (Cr, Sn) were examined using scanning electron microscopy, X-ray diffraction, thermogravimetric analysis, and N2 adsorption–desorption measurements. All modulators altered the MOF properties. Compared with other samples, acetic acid as a modulator mildly altered the MOF morphology by narrowing their particle size distribution, enhancing the specific surface area, and significantly improving their water and thermal stabilities. The addition of acetic acid was suitable for the catalytic conversion of glucose to 5-hydroxymethylfurfural (5-HMF), achieving a 43.1% 5-HMF yield with 91.4% glucose conversion in a mixed solution of γ-valerolactone and saturated salt water at 150 °C after 30 min.
Identifying patients with Crohn's disease at high risk of primary nonresponse to infliximab using a radiomic‐clinical model

Approximately 13%–40% of patients with Crohn's disease (CD) show a primary loss of response to infliximab (IFX) therapy. Therefore, differentiating potential responders from primary nonresponders is clinically important. In this double‐center study, we developed and validated a computed tomography enterography (CTE)‐based radiomic signature (RS) for identification of CD patients at high risk of primary nonresponse (PNR) to IFX therapy, and demonstrated its incremental value to the clinical model. A total of 244 patients (training cohort, n = 119; test cohort 1, n = 51; test cohort 2, n = 74) were retrospectively recruited. Their clinical data and pretreatment CTE were retrieved and analyzed. All patients underwent IFX induction therapy. Reliability of clinical factors and radiomic‐based features were assessed with the area under the receiver operating characteristic curve (AUC). In all, 1130 radiomic features were extracted from the whole inflamed gut in CTE images. In training cohort and test cohorts 1 and 2, the RS that discriminated PNR to IFX therapy yielded AUCs of 0.848, 0.789, and 0.789, respectively (all p < 0.05). By combining the clinical predictors (C‐reactive protein, albumin, and body mass index) and RS, the radiomic‐clinical model showed an increase in predicting performance (AUCs: 0.864, 0.794, and 0.791, respectively; all p < 0.05). Decision curve analysis and net reclassification improvement demonstrated the clinical usefulness of the radiomic‐clinical model. In this study, the proposed RS showed potential as a clinical aid for the accurate identification of CD patients at high risk of PNR to IFX therapy before treatment. A combination of the RS and existing clinical factors might enable a step forward precise medicine.
On the Clifford Collineation, Transform and Similarity Groups (IV): An Application to Quadratic Forms

E. S. Barnes and I recently constructed a series of positive quadratic forms fN in N = 2 n variables (n = 1, 2,…) with relative minima of order for large N. I continue this investigation by determining the minimal vectors of fN and showing that, for its group of automorphs is the Clifford group This suggests a generalization. Replacing by where p is an odd prime, I derive a new series of positive forms in N =(p−1)pn variables (§4). The relative minima are again of order (p fixed, N → ∞ ), the “best” forms being those for p = 3, 5. All forms are eutactic though only those for p = 3,5 are extreme.
Enhanced thermoelectric properties in CoSb3-xTex alloys prepared by mechanical alloying and spark plasma sintering

CoSb3-xTex(x=0.05−0.3) skutterudite polycrystals with an average grain size of 160 nm were fabricated by mechanical alloying combined with spark plasma sintering. The variation of lattice parameter with Te content indicates that the solution limit of Te was x=0.15, above which the impurity phases of Te, CoTe2, and CoSb2 appeared, and the matrix cracked above 500 °C. All samples behaved as degenerate semiconductors. The forbidden energy gap was estimated to be 0.047 eV from the temperature corresponding to the occurrence of intrinsic excitation, which is in good agreement with Singh’s theoretical calculation (0.05 eV) [D. J. Singh and W. E. Pickett, Phys. Rev. B 50, 11235 (1994)]. The CoSb2.85Te0.15 sample had the highest power factor and the lowest thermal conductivity, resulting in the highest thermoelectric figure of merit, ZT=0.93 at 547 °C. The role of Te substitution in enhancing thermoelectric properties is discussed in relation to the bipolar diffusion mechanism.
EFFECT OF SOIL SOLARIZATION AND CHICKEN MANURE ADDITION ON CORN YIELD AND NITROGEN UPTAKE UNDER ARID ZONE CONDITIONS

Two field experiments were conducted at Hada Al-sham Experimental Station, King Abdulaziz University, during two sowing dates (Fall 1994 and Spring 1995) to study the effects of soil solarization (mulching wet soil with clear polyethylene during summer season for the control of soil pests) and different rates of chicken manure as a soil amendment (0, 10, 20 and 40 t/ha) on yield and ear characters and nitrogen uptake by hybrid corn (AGA seed 215 cultivar). The results indicated that values in the Fall was higher than the values in the Spring sowing date in the following parameters: total yield dry matter, weight of 1000 kernels, ear diameter, ear volume, number of kernels/row and weight of ears and its parts (kernels and cobs). However, harvest index was higher in the spring than the fall sowing date. On the other hand, weight of kernels, cobs, and ears shelling %, and protein content of kernels were not significantly affected by sowing date. However, yield and ear characters and their parts were not significantly affected by either soil solarization or chicken manure treatments. Total yield dry matter and nitrogen uptake by corn plants were increased in solarized than in non-solarized soil for both sowing dates.
Extending Decidable Cases for Rules with Existential Variables

In ∀∃-rules, the conclusion may contain existentially quantified variables, which makes reasoning tasks (as deduction) non-decidable. These rules have the same logical form as TGD (tuple-generating dependencies) in databases and as conceptual graph rules. We extend known decidable cases by combining backward and forward chaining schemes, in association with a graph that captures exactly the notion of dependency between rules. Finally, we draw a map of known decidable cases, including an extension obtained by combining our approach with very recent results on TGD.
Sample Importance Guided Progressive Sampling-Based Bayesian Optimization for Automatic Machine Learning

: In the era of big data, machine learning-based data analysis has been integrated into almost all walks of modern life. Before applying machine learning, a machine learning algorithm with its proper hyper-parameters have to be decided, where rich machine learning knowledge and lots of practical manual iterations are required. In order to popularize machine learning and allow non-professionals to use machine learning to solve problems, automatic machine learning model selection is particularly important. Among various existing automatic machine learning model selection methods, Progressive Sampling-based Bayesian Optimization (PSBO) is one of the most efficient and effective ones. However, PSBO adopted the progressive sampling with the traditional random sampling strategy, which does not consider the importance of individual samples. Based on the idea that more important and effective samples will make the model training results better, the paper proposed a Sample Importance Guided Progressive Sampling-based Bayesian Optimization (SIG-PSBO) for automatic machine learning. SIG-PSBO defines the sample importance by the difficulty to distinguish categories in a PCA feature space. Then samples with higher sample importance are more likely to be sampled for the subsequent model training. Extensive experiment results showed that the SIG-PSBO method can significantly shorten the search time and reduce the classification error rates compared to the original PSBO method.