Miracle-dz/UniFAR-FTUs huggingface dataset:
Layered molybdenum disulfide coated carbon hollow spheres synthesized through supramolecular self‐assembly applied to supercapacitors

Through supramolecular assembly method, molybdenum disulfide (MoS2) is uniformly anchored on the mesoporous hollow carbon spheres (HCS), which are obtained by hard template method. The introduction of HCS can prevent the agglomeration of MoS2 and decrease the electric resistance of the compound material MoS2@HCS. The composite of MoS2@HCS‐17 also owns a specific surface area of 119.0 m2 g−1. For MoS2@HCS‐17, SEM and TEM results exhibit that flaky MoS2 is uniformly covered on hollow carbon spheres and possesses an expanded layered structure. Electrochemical test results show that MoS2@HCS‐17 can reach 314.5F g−1 at 1A g−1. When tested at a scan speed of 50 mV s−1, there is still 87% specific capacity retention for MoS2@HCS‐17 after 4000 cycles. Moreover, the assembled MnO2//MoS2@HCS asymmetric supercapacitor manifests 34.0 Wh kg−1 at 611.6 W kg−1. Bending by 180°, our assembled device still keeps stable capacitive performance. This asymmetric supercapacitor also keeps almost 93% capacity maintained after 2000 cycles.
Health and conservation implications of Australian bat Lyssavirus

Australian bat Lyssavirus, first reported in mid-1996 from a Black Flying Fox Pteropus alecto has now been isolated from two other species of flying fox, a microbat and a human, who died of a rabies-like illness. Infected animals have been identified from widely separated localities in four Australian states. It is not known definitely from which species of animal the human victim contracted the disease, which is (are) responsible for spreading it. nor whether it is an old disease or one that has recently entered Australia.The infectivity of Australian bat Lyssavirus to humans and other mammals is not known, but its close genomic and antigenic relationship to classical rabies virus suggest that it is likely to be capable of causing fatal illness in most mammalian species. Its similarity to classical rabies virus also indicates that humans and other mammals will be protected by existing rabies vaccines. The discovery of Lyssavirus in Australian bats has highlighted the need for professional and community g.
Ultra-Low Noise Defect Probing Instrument for Defect Spectroscopy of MOS Transistors

It is commonly accepted that the performance and time-to-failure of modern semiconductor transistors are seriously affected by single defects located in the insulator or at the insulator/semiconductor interface. The impact of such single defects on the device current ranges from several pico-ampere up to hundreds of nano-ampere and their characterization poses a major challenge for measurement instruments. However, for an accurate description of the device behavior under operation, the understanding of the physical mechanism behind single-charge trapping is inevitable. For this a large variety of defects and devices with different geometries have to be studied. However, the impact of single defects on the device current rapidly decreases with increasing effective gate area. Thus, suitable measurement instruments have to provide a high current measurement resolution at a large signal-to-noise ratio (SNR) for monitoring single charge transitions. To enable defect spectroscopy at a very detailed level an ultra-low noise defect probing instrument (DPI) is invented. The compact implementation and optional usage of a lead battery supply unit for the DPI guarantees highest SNR and also long-term stability over more than two years, which is typically hard to achieve when instruments of different manufacturers are connected. Utilizing the DPI a measurement resolution of a few micro-volts in terms of threshold voltage shift can be achieved, which fairly outweighs the results obtained with general-purpose instruments.
First arrival Q tomography based on an adjoint-state method

Under the assumption of invariant ray path in a weakly dissipative (high quality factor Q) subsurface medium, a tomographic inversion approach composed of two cascading applications of first arrival traveltime and Q tomography is proposed for compensating amplitude loss caused by near-surface anomalies, such as unconsolidated soils or the overburden gas cloud. To improve the computational efficiency, these two related tomography methods were adopted with an adjoint-state technique. First, arrival traveltime tomography will be performed to provide an inverted velocity model as one of the inputs for the following first arrival Q tomography. Then, the synthetic first break generated by the inverted velocity model will be used as a stable guidance of accessing the scopes of first arrival waveforms in the time domain where the potential attenuated time information is contained. The attenuated time will be estimated through a logarithmic spectral ratio linear regression corresponding to frequency-dependent propagation responses of different wave types. All these estimated attenuated times will be applied with reference signals to generate synthetic attenuated seismic data in the time domain, and their discrepancies with real data will be evaluated using similarity coefficients. The ones with larger values will be selected as optimal attenuated time inputs for the following Q tomographic inversion. Examples of both synthetic and field data reveal the feasibility and potential of this method.
Stationary Exercise Classification using IMUs and Deep Learning

In the current market, successful ﬁtness tracking devices utilize heart rate and GPS to determine performance. These devices are useful, but don’t extensively classify stationary exercise. This paper proposes a modern approach for tuning and investigating optimal neural network types on stationary exercises using Inertial Measurement Units (IMUs). Using three IMUs located on the ankle, waist, and wrist, data is collected to map the body as it moves during the stationary physical activity. A novel ﬁve-stage deep learning tuning system was written and deployed to classify user movement as one of three classes: air squats, jumping jacks, and kettlebell swings. It was determined that the ConvLSTM2D type is the most accurate and second fastest for training stationary exercise classiﬁcation. Tracking of human movement extends to realms outside of ﬁtness such as robotics, medical and military applications.
Food Habits of Adult Pheasants in Michigan Based on Crop Analysis Method

This investigation of the food habits of the pheasant ' was centered in the general farming region of southern Michigan. Data were collected from June 1930 to July 1, 1933. The food habits of the ring-necked pheasant have been investigated to some extent by other workers in several parts of the United States. McAtee ('12) reported on a few stomachs collected during the fall months inl Washington and Oregon. Burnett ('21) reported on the crop analyses of 45 pheasants collected near Fort Collins, Colorado, during all seasons of the year. A count was made of all food items, but no percentages were computed. Maxson ('21) made a report on the crop and gizzard analyses of 12 male pheasants collected in summer, fall, and early winter near Longmont, Colorado. He interpreted the data in respect to the economic status of the pheasant in the particular area where the investigation was conducted. Another investigation was conducted by Cottam ('29) in Utah County, Utah. Pheasants were collected at all seasons of the year. The results were based upon the crop and gizzard analyses of 45 pheasants. The volumetric methods used in analyzing the various foods were the same as those employed by the U. S. Biological Survey. A more extensive study of the food habits of the pheasant was undertaken by Swenk ('29) in Valley County, Nebraska. The crops and gizzards of 100 pheasants collected in every month of the year were examined. Results were based upon net weight. Severin ('33) made a report on the stomach analyses of 285 adult pheasants collected in South Dakota during all months of the year. Results and. interpretations are based upon the numerical method of stomach analysis. The investigation was conducted primarily to determine the economic status of the pheasant in that state. Leffingwell ('28) described the general feeding habits of pheasants from birds collected from various parts of the United States, but gave no quantitative data upon the foods eaten throughout the year. The method of analysis was by counting rather than by weight. In addition to the above-mentioned
Artificial neural network incorporated decision support tool for point velocity prediction

ABSTRACT This study aims to develop a decision support tool for identifying the point velocity profiles in rivers. The tool enables managers to make timely and accurate decisions, thereby eliminating a substantial amount of time, cost, and effort spent on measurement procedures. In the proposed study, three machine learning classification algorithms, Artificial Neural Networks (ANN), Classification & Regression Trees (C&RT) and Tree Augmented Naïve Bayes (TAN) along with Multinomial Logistic Regression (MLR), are employed to classify the point velocities in rivers. The results showed that ANN has outperformed the other classification algorithms in predicting the outcome that was converted into 10 ordinal classes, by achieving the accuracy level of 0.46. Accordingly, a decision support tool incorporating ANN has been developed. Such a tool can be utilized by end-users (managers/practitioners) without any expertise in the machine learning field. This tool also helps in achieving success for financial investors and other relevant stakeholders.
Antecedents of word of mouth in Muslim-friendly tourism marketing: the role of religiosity

Purpose This paper aims to examine the impact of religiosity on Muslim-friendly destination performance, customer engagement and customer satisfaction; the mediating impact of Muslim-friendly destination performance, customer engagement and customer satisfaction on the link between religiosity and word of mouth (WOM); and the moderating impact of religiosity on the relationship between Muslim-friendly tourism, customer engagement and customer satisfaction. Design/methodology/approach The population of this study was all tourists who visited West Sumatra Indonesia. By using a survey through questionnaires, this study has got 393 out of 450 collected responses (83.6%). This research used the structural equation modeling as the data analysis technique. Findings This research found that religiosity is a significant antecedent of Muslim-friendly tourism, customer engagement and tourist satisfaction. This study revealed that Muslim-friendly tourism, customer engagement and tourist satisfaction significantly mediate the link between religiosity and WOM. This research also found that religiosity significantly moderates the effect of Muslim-friendly tourism on tourist satisfaction. Research limitations/implications This study was only conducted in Indonesia; hence, it lacks generality. Accordingly, future studies can expand to several other countries such as Southeast Asian countries which have big Muslim population. This study only focused on Muslim-friendly tourism industry as a whole. For future studies, it can be extended to several related industries, such as hotel, food and beverage and halal cosmetic. Practical implications This study has shown the important of manager knowledge about religiosity of customers. Accordingly, when they want to increase tourists’ WOM, they have to increase tourist perceived quality of Muslim-friendly tourism attributes which also have an impact on customer engagement and tourist satisfaction. Originality/value This study proposes the direct relationship between religiosity and Muslim-friendly tourism, the religiosity-customer engagement link and the religiosity-tourist satisfaction relation. This research has revealed the mediating effect of Muslim-friendly tourism, satisfaction and engagement on the link between religiosity and WOM. This study has also revealed the impact of religiosity in strengthening the link between halal tourism and tourist satisfaction which is limited previously.
Changes in Student Expectancies and Values in Different Lessons

Students can be motivated to learn in some lessons but in other lessons they appear to be unmotivated. If expectancies and values play an important role in the way students approach learning tasks then we would expect their expectancies and values to differ from one lesson to another, but few studies of expectancies and values have investigated lesson-lesson differences. The purpose of this study was to compare expectancies and values when students do feel motivated compared to when they do not feel motivated. The participants were 24 grade 10 students who participated in individual interviews. It was found that more highly positive expectancies and values were associated with lessons in which students experienced a motivated feeling of wanting to learn. Conversely, less positive expectancies and values were associated with lessons in which students had experienced an unmotivated feeling of not wanting to learn. It was concluded that expectancies and values are very closely aligned with these feelings of wanting to learn or not wanting to learn.
THE EFFECT OF CONCOMITANT GASTROESOPHAGEAL REFLUX DISEASE ON CLINICAL COURSE AND LUNG FUNCTION IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE

Authors’ contribution Wkład autorów: A. Study design/planning zaplanowanie badań B. Data collection/entry zebranie danych C. Data analysis/statistics dane – analiza i statystyki D. Data interpretation interpretacja danych E. Preparation of manuscript przygotowanie artykułu F. Literature analysis/search wyszukiwanie i analiza literatury G. Funds collection zebranie funduszy Summary Background. Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality in modern society and can lead to the development of comorbidities. Among the last, gastroesophageal reflux disease (GERD) is frequently present, but often gets a close attention from doctors in the treatment of pulmonary patients. The aim of the current study was to determine the characteristics of clinical and lung disorders in the pathogenesis of COPD with concomitant GERD. Material and methods. We examined 113 COPD patients with isolated COPD or with COPD and concomitant GERD. All the patients underwent spirography, endoscopy, radiological and pH-metric procedures. Results. Many patients (95%) with concomitant pathology complained of heartburn, dysphagia, especially after meals, burning tongue, hoarseness and a lump in the throat. Among COPD patients without concomitant GERD, both clinical pulmonary manifestations met with almost the same frequency but were less pronounced (p>0.05). During the lung examination, we determined the level of FEV1, VC, FVC, FEF25-75 and FEV1/FVC, which differed significantly in COPD patients (p<0.05) compared to predicted normal values in human of the same sex, age, height and body weight. In the COPD with concomitant GERD cohort, a sharp decrease in spirography indices was found compared to patients with isolated COPD (p<0.001). Conclusions. COPD patients with concomitant GERD had significantly greater extraesophageal manifestations and lung disorders compared with COPD patients without comorbidity.
Development of New CAPS/dCAPS and SNAP Markers for Rice Eating Quality

Rice eating quality traits are very complex and essential to be evaluated not only through physicochemical analysis and sensory test but also by PCR-based marker approach. To date, simple markers based on single nucleotide polymorphism (SNP) discovery to evaluate eating quality of cooked rice are still limited. Thus, the aims of this study were to develop PCR-based markers, called SNAP (single nucleotide amplified polymorphism) as alternative markers of cleaved amplified polymorphic sequence/derived cleaved amplified polymorphic sequence (CAPS/dCAPS). Four primer pairs specific to targeted alleles (CAPS/dCAPS and SNAP) of four loci were successfully designed based on the discovered SNPs according to the eating quality-QTL and searching genomic database. The primer pairs were able to identify alleles corresponding loci among indica and japonica varieties with diverse palatability (overall eating quality). There was consistent allele pattern produced by SNAP and CAPS/dCAPS for the same base mutation. The SNAP marker for rice eating quality trait could be easily assayed by standard agarose gel electrophoresis, allowing to increase the advantage of genotyping methods. Moreover, the SNAP markers together with our previous developed markers which were recommended as applicable marker set for evaluation of rice eating quality, will facilitate as marker-assisted selection for rice breeding program.
Characteristics of Dimethyl Ether Oxidation in a Preheated Pt-γ-Al2O3 Catalytic Reactor

ABSTRACT An experimental study on the catalytic combustion of dimethyl ether under various oxidation conditions through a preheated tubular catalytic reactor filled with a lab-made Pt-γ-Al2O3 catalyst is presented in this paper. Both the transient variance of temperature distribution during the ignition process and the stationary results as the reactor reaches stable are delineated. The catalytic reactor is mounted in a tubular furnace to preheat and maintain an isothermal boundary. The reaction profiles and ignition processes are characterized by monitoring the temporal temperature traces, which is the steady-state axial distribution of temperature in the reactor. The average axial reaction temperature for different fuel quantities with various isothermal boundaries of the reactor was also evaluated. During the light-off process, the main exothermal reaction zone shift is found. The results demonstrate that a higher equivalence ratio of reactants produces a higher temperature, resulting in more heat transferring upstream and causes a higher conversion ratio. For the same equivalence ratio, a higher isothermal boundary temperature will result in a higher conversion ratio. The more extended reactor is required in one of the two conditions of a lower equivalence ratio of reactants and a lower isothermal boundary of the reactor. Finally, the energy balance and exergy analysis for the reactor was also performed; the results will be the basis for improving and optimizing designs.
Optimized Power Allocation for a Cooperative NOMA System with SWIPT and an Energy-Harvesting User

ABSTRACT This paper investigates the solution to an optimisation problem to minimise the total transmission power at the transmitter in a cooperative non-orthogonal multiple access (NOMA) system with simultaneous wireless information and power transfer (SWIPT) and an energy-harvesting user. First, we formulate the optimisation problem to obtain the minimum transmission power at the transmitter under the constraints of minimum signal-to-interference-plus-noise ratio and minimum energy harvesting. Since the problem is not convex, we transform it into a bi-level optimisation problem. Then, conditions to guarantee the feasibility of the problem are provided, and we derive the analytical optimal solution via the Lagrange method meeting Karush–Kuhn–Tucker optimality conditions to solve the lower-level variables of the inner convex problem. Second, we use particle swarm optimisation to find the approximately optimal values of the upper-level variables. Next, we present two baseline schemes based on orthogonal multiple access (OMA) and equal power splitting for performance comparison with the proposed cooperative NOMA system with SWIPT. Finally, simulation results show that cooperative NOMA with SWIPT can reduce the transmit power at the transmitter, compared to two baseline schemes: OMA and EPS.
Diagnostic Single‐Nucleotide Polymorphisms Identify Pacific Ocean Perch and Delineate Blackspotted and Rougheye Rockfish

Abstract Diagnostic single-nucleotide polymorphisms (SNPs) that delineate Pacific ocean perch Sebastes alutus from other rockfish species and distinguish rougheye rockfish S. aleutianus and blackspotted rockfish S. melanostictus were developed from restriction endonuclease site differences in mitochondrial DNA sequences. The SNP developed for Pacific ocean perch was specific to that species in a panel of adult rockfishes common in Alaskan waters and positively recognized all of 994 adult specimens for reactions in which polymerase chain reaction product was obtained. Species-specific microsatellite alleles (Sma6) and SNPs were concordant in 113 blackspotted and 26 rougheye rockfish. Five additional individuals were heterozygous for the microsatellite alleles and are presumably hybrids. These SNP markers, which are substantially faster to assay and much less labor-intensive than restriction site analyses, can be used to identify individuals of any life stage during abundance surveys and provide necessary s.
Optimum feeding rates in juvenile olive flounder, Paralichthys olivaceus, at the optimum rearing temperature

Two feeding trials were carried out to determine the optimum feeding rates in juvenile olive flounder, Paralichthys olivaceus, at the optimum rearing temperature. Fish averaging 5.0 ± 0.11 g (mean ± SD) in experiment 1 and 20.2 ± 0.54 g (mean ± SD) in experiment 2 were fed a commercial diet at the feeding rates of 0%, 3.0%, 4.0%, 4.25%, 4.5% and 4.75% body weight (BW) day−1 and satiation (5.52% BW day−1) in experiment 1 and 0%, 1.0%, 2.0%, 3.0% and 3.5% BW day−1 and satiation (4.12% BW day−1) in experiment 2 at 20 ± 1 °C. Both feeding trials lasted for 2 weeks. Results from experiment 1 indicated that weight gain (WG) and specific growth rate (SGR) of fish fed to satiation were significantly higher than those of fish fed at other feeding rates while feed efficiency (FE) and protein efficiency ratio (PER) of fish fed at 4.25% BW day−1 were significantly higher than those of fish fed to satiation and fish fed at 3.0% BW day−1 (P 4.25 but 3.0 but <3.47% BW day−1 for 20 g size of juvenile olive flounder at the optimum rearing temperature.
Human Malaria Detection using Random Forest Tree

— Malaria is mosquito-borne infection brought about by parasites of the genus Plasmodium. Due to the difficulty of identifying low-abundance parasites from blood serum, early diagnosis of malaria is daunting. Malaria treatment is tested by microscope patient stressed blood stain. The blood sample to be examined is put in a transparent glass slide under a microscope to count the number of RBC contaminated concentrations. To view the slide with extreme visual focus, an intended microscopist is required. This entire process is time-consuming, exhausted and less accurate. Under the roof of this paper, we build a fully automatic detection system to count the plasmodium parasites in blood Smear. This system is based on an algorithm for machine learning against traditional thin-blood smear analysis, which has more sensitivity and specificity. This automated system is simple, making it ideal even with low levels of parasites for ultra-fast and accurate detection. The suggested technique utilizes collected photographs of patients to assess the malaria disease without staining the blood or specialist required.
Contrôle du mouvement du regard (1) - Le rôle du cortex pariétal

Les mouvements des yeux constituent un mode d’acces privilegie au monde qui nous entoure. Ils permettent, en placant les objets d’interet dans la partie centrale du champ visuel, d’explorer les scenes visuelles, d’en identifier les composants significatifs et d’acquerir les informations necessaires pour pouvoir agir sur eux (prehension, evitement…). De nombreuses etapes de traitement se succedent entre l’arrivee des photons sur la retine et la contraction des muscles oculaires. Dans cet article, nous etudions la place du cortex parietal dans cet enchainement de mecanismes neurophysiologiques. Nous proposons que celui-ci soit implique dans la representation de l’espace et la selection des objets pertinents dans l’environnement, c’est-a-dire apres le traitement visuel perceptif et avant l’elaboration du signal moteur.