Miracle-dz/UniFAR-FTUs huggingface dataset:
High-Performance Bipolar Membrane Development for Improved Water Dissociation

Bipolar membranes (BPMs) are the enabling component of many promising electrochemical devices used for separation and energy conversion. Here, we describe the development of high-performance BPMs, including two-dimensional BPMs (2D BPMs) prepared by hot-pressing two preformed membranes and three-dimensional BPMs (3D BPMs) prepared by electrospinning ionomer solutions and polyethylene oxide. Graphene oxide (GOx) was introduced into the BPM junction as a water-dissociation catalyst. We assessed electrochemical performance of the prepared BPMs by voltage–current (V–I) curves and galvanostatic electrochemical impedance spectroscopy. We found the optimal GOx loading in 2D BPMs to be 100 μg cm–2, which led to complete coverage of GOx at the interface. The integration of GOx beyond this loading moderately improved electrochemical performance but significantly compromised mechanical strength. GOx-catalyzed 2D BPMs showed comparable performance with a commercially available Fumasep BPM at current densities up to 500 mA cm–2. The 3D BPMs exhibited even better performance: lower resistance and higher efficiency for water dissociation and substantially higher stability under repeated cycling up to high current densities. The improved electrochemical performance and mechanical stability of the 3D BPMs make them suitable for incorporation into CO2 electrolysis devices where high current densities are necessary.
Identification of novel autoantibodies based on the protein chip encoded by cancer-driving genes in detection of esophageal squamous cell carcinoma

ABSTRACT The purpose of this study was to identify novel autoantibodies against tumor-associated antigens (TAAbs) and explore the optimal diagnosis model based on the protein chip for detecting esophageal squamous cell carcinoma (ESCC). The human protein chip based on cancer-driving genes was customized to discover candidate TAAbs. Enzyme-linked immunosorbent assay was applied to verify and validate the expression levels of candidate TAAbs in the training cohort (130 ESCC and 130 normal controls) and the validation cohort (125 ESCC and 125 normal controls). Logistic regression analysis was adopted to construct the diagnostic model based on the expression levels of autoantibodies with diagnostic value. Twelve candidate autoantibodies were identified based on the protein chip according to the corresponding statistical methods. In both the training cohort and validation cohort, the expression levels of 10 TAAbs (GNA11, PTEN, P53, SRSF2, GNAS, ACVR1B, CASP8, DAXX, PDGFRA, and MEN1) in ESCC patients were higher than that in normal controls. The panel consisting of GNA11, ACVR1B and P53 demonstrated favorable diagnostic power. The sensitivity, specificity and accuracy of the model in the train cohort and the validation cohort were 71.5%, 93.8%, 79.6% and 77.6%, 81.6%, 70.8%, respectively. In either cohort, there was no correlation between positive rate of the autoantibody panel and clinicopathologic features for ESCC patients. Protein chip technology is an effective method to identify novel TAAbs, and the panel of 3 TAAbs (GNA11, ACVR1B, and P53) is promising for distinguishing ESCC patients from normal individuals.
The Role of Gender and Culture in Vocational Orientation in Science

Females and people belonging to ethnic minorities tend to be underrepresented in science occupations. The goal of this paper was to investigate the needs of students of different gender and ethnicity in terms of vocational orientation in order to tailor future interventions to their needs. This paper finds that students of different gender and cultural background differ in their preferences in terms of vocational orientation in science. Two studies were conducted: (1) secondary school students (N = 450) were asked about their current activities and needs in terms of vocational orientation; (2) university students’ (N = 342) retrospective views on their vocational orientation were investigated. Among the secondary school students (1), we found no significant differences in science aspirations, when differentiating between students’ culture and their gender. However, females with migration background tended to wish for information from different sources than other students (contacts with university, teacher feedback, i.e., more formal/professional sources). Male participants without migration background tended to rely more strongly on informal sources such as online video platforms. This study (2) confirmed the finding that more professional feedback would be beneficial. These findings suggest that vocational orientation in science should be more specific to the target group in order to reach those who are currently underrepresented in science.
Archimedes Screw Turbines: A Sustainable Development Solution for Green and Renewable Energy Generation—A Review of Potential and Design Procedures

Archimedes Screws Turbines (ASTs) are a new form of small hydroelectric powerplant that can be applied even in low head sites. ASTs offer a clean and renewable source of energy and are safer for wildlife and especially fish than other hydro generation options. As with other energy solutions, ASTs are not a global solution for all situations. However, in terms of sustainable development, ASTs can offer many economic, social, and environmental advantages that make them an important option for providing sustainable hydropower development. Archimedes screws can operate in low water heads (less than about 5 m) and a range of flow rates with practical efficiencies of 60% to 80% and can generate up to 355 kW of power. ASTs increase the number of suitable sites where it is possible to develop sustainable hydropower, including in undeveloped, hard to access regions and small communities. At many low head sites, ASTs may be more cost-effective, with lower installation and operating costs than alternative hydropower systems. An AST may also reduce the disturbance of natural sedimentation and erosion processes and have smaller impacts on fish and other fauna. ASTs can often be retrofit to existing unpowered dams or weirs, providing new hydropower capacity for very little marginal environmental impact. This review outlines the characteristics of ASTs, then discusses and analyzes how they could benefit the sustainability of hydropower development.
Numerical conformal mapping method vs. geometrical separation attitude: Combustion motor chamber internal flow simulation

This paper describes the numerical solution of flow analysis in a two‐dimensional combustion chamber with two parallel inlets aided for propellants entrance, addressing a number of different problems that depend on each other: the flow affected by a discrete point in‐cell vortex, the velocity affected by the flow regime in the cell, and the combustion problem affected by the oxygen and fuel entries from the cell walls. The shape geometry of the combustion chamber is made from a square section connected with a semi‐circular one. The mathematical model of the problem consists of an inhomogeneous stream function Laplace equation coupled to partial differential mass conservation equation subjected to a wall non‐intrusion condition and known mass values in the wall openings. Algebraic conformal mapping transformation has been used for modeling the complex cell geometry. The solution was obtained by using the iterative Gauss–Seidel method for both the current function and the mass calculation. Comparison with another modeling method for calibration purpose was performed; considering each geometrical component separately whereas continuous conditions were applied between the two sections. The grid types are: (1) a uniform grid in Cartesian coordinates in the square part, and (2) a uniform circular grid in polar coordinates. It was found that different initial guesses have not effect on the final solution, but an informed initial guess affects the solution time convergence iterations number to solve the problem. Finally, the effect of the mixing vortex on the location of the flame front in the chamber was investigated.
A case study of person with depression: a cognitive behavioural case work approach

Individuals with depression often face problems in activities of daily living, work functioning and interpersonal relationships. Aim and Objectives: The present case study aimed to assess psychosocial problems and to provide psychiatric social work intervention based on cognitive behaviour therapy (CBT) to the client. Methods and materials: The single-subject case study design was used and the pre-post baseline assessment was done. Semi-structured clinical and socio-demographic data sheet, social history proforma, McMaster family assessment device, Rosenberg self-esteem scale, Beck depression inventory, Beck anxiety inventory, UCLA loneliness scale, the family questionnaire (expressed emotion) were administered before and after the intervention. Psychiatric social work intervention was provided by adopting a cognitive behavioural casework approach. Results: A cognitive behavioural case work intervention turned out to be effective in dealing with depression, anxiety and loneliness. Conclusion: Cognitive Behavioural Case Work can be effective in dealing with depression cases. Psychiatric social worker can practice CBT based case work under guidance and supervision.
Plant functional type indirectly affects peatland carbon fluxes and their sensitivity to environmental change

The sensitivity of peatland carbon (C) fluxes to changes in climate and hydrology are uncertain due to the complex interactions between plants and peat properties. In this study we examine how peat cores taken from under three plant functional types (PFT) (bryophyte, graminoid and ericoid) differ in their biotic and abiotic properties and how this indirectly modulates the response of C fluxes to environmental change. Peat cores taken from under three PFTs had their aboveground vegetation removed to exclude direct plant‐mediated effects, and were incubated in a temperature × water table factorial experiment at 12, 14 and 16°C (air temperature) with the water table level −25, −15 or −5 cm below the peat surface. Carbon dioxide (CO2) and methane (CH4) fluxes were measured over 11 months. Emissions of CO2 and CH4 increased with temperature, with strong positive (CH4) and negative (CO2) interactions with increasing water table level. There were significant effects of removed PFT on the environmental sensitivity of CH4, but not CO2 fluxes. CH4 emissions were greatest in peat with graminoid PFT removed at the warmest temperature but these indirect effects were not explained by peat abiotic or biotic properties, which did not differ between PFTs. These results show that climate change‐induced expansion of graminoids in northern peatlands will have direct and indirect effects on C fluxes and the stability of peatland C stores. These responses will be determined by the interactive effects of vegetation composition, hydrology and warming on methane‐cycling microbial communities.
Evaluation of shape and asymmetry in rye leaf

The variability of bilateral structures is associated with the stability of development; the populations attribute which characterizes homeostasis of plant development at the epigenetic level. A violation in the functioning of regulatory proteins creates a deviation from the norm in fluctuating asymmetry, as a measure of ontogenetic noise. To test the variability of the shape and asymmetry of winter rye leaf plates depending on the dose of mineral fertilizer, we used the Generalized Procrustes analysis and the thin splines method. A small dose (N90P90K90) caused the apical growth and the fluctuating asymmetry of the leaf plate, indicating a reduced development stability of the population (p <0.0001), the “side” factor was statistically insignificant. The interaction side × individual was statistically significant at both doses of fertilizer. The bending energy of the thin spline was higher (p = 0.001) in population with an increased dose of fertilizer (N90P90K90) and high directional asymmetry (“side”; p <0.0001). The authors consider that a high dose of fertilizer contributed to the synthesis of cells in the medial part of the leaf blade and caused asymmetry in a mix of fluctuating and directional asymmetry. Thus, an increased dose of mineral fertilizer enhanced the growth of the lateral part of the leaf blade and led to directional asymmetry, which reduced the asymmetric variability and increased the variability of the shape in the leaf blade.
Spaceborne Middle‐ and Far‐Infrared Observations Improving Nighttime Ice Cloud Property Retrievals

Two upcoming missions are scheduled to provide novel spaceborne observations of upwelling far‐infrared spectra. In this study, the accuracy of ice cloud property retrievals using spaceborne middle‐to‐far‐infrared (MIR‐FIR) measurements is examined toward a better understanding of retrieval biases and uncertainties. Theoretical sensitivity studies demonstrate that the MIR‐FIR spectra are sensitive to ice cloud properties, thereby providing a robust means for retrieving cloud properties under nighttime conditions. However, the temperature dependence of the ice refractive index and relevant ice particle shape models need to be incorporated into the retrieval procedure to avoid systematic biases in inferring cloud optical thickness and effective particle radius. Furthermore, prior information of subpixel cloud fractions is essential to mitigation of substantial systematic retrieval biases due to inconsistent subpixel cloud fractions.
Identification of novel cytosolic thioredoxin-1 target proteins in mammalian cells by mechanism-based kinetic trapping

Reactive oxygen species (ROS) have been reported to be locally produced after stimulation of various transmembrane receptors, including those for cytokines, growth factors and hormones. Transient ROS generation leads to the reversible oxidation of redox-sensitive proteins, which may either result in their transient activation or inactivation. Even though the role of ROS as a signal transducer is widely accepted, little is known about the identity of redox-sensitive proteins and the reduction mechanism by which they are re-generated. Thioredoxin-1 (Trx1) is an oxidoreductase known to influence a variety of cellular processes including proliferation, apoptosis and gene expression. In higher plants and cyanobacteria different proteomic approaches allowed for the identification of various thioredoxin target proteins. However, no comprehensive study of Trx1 interactions in the cytosol of mammalian cells has been performed so far. In this thesis, mechanism-based kinetic trapping was applied to identify proteins forming mixed disulfide intermediates with Trx1 in the cytosol of a human T cell leukemia line. Most previously established target proteins of Trx1 could be identified, including ribonucleotide reductase, peroxiredoxins and annexin-2, thus confirming the validity of the approach. Interestingly, a substantial number of newly identified proteins currently lacks functional annotation, suggesting that several thioredoxin-regulated pathways still await initial characterization. Of those newly identified proteins with known function, a significant portion is associated with cell cycle control and regulation of apoptosis, while others participate in various signal transduction pathways, cytoskeleton and membrane dynamics, metabolism and transcriptional control. These results strongly support the long-held belief that Trx1 not only plays a role in ROS scavenging and reductive metabolism but is also extensively involved in interactions with key regulatory proteins associated with cellular behavior and fate. While Trx1-interactions are clearly pleiotropic in that they affect a variety of processes simultaneously, we have found strong evidence that they are nevertheless highly target specific. The newly identified Trx1 target proteins cdk6 and caspase-2 were selected for further study. For cdk6 the thioredoxin-interacting cysteine residue was identified and for caspase-2 redox regulation of activity by Trx1 could be demonstrated in vitro, lending further support to the biological relevance of Trx-based regulation.
The Effect of Student's Attitudes toward Entrepreneurship Education with Respect to the Moderating Role of Gender and Family Background

Purpose : The aim of this study was to investigate the effect of students' attitudes toward entrepreneurship education and entrepreneurial environment on entrepreneurial intention with respect to the moderating role of gender and family background. Methodology: The present study was applied in terms of purpose and quantitative research in terms of data collection. The statistical population included all business management students of Islamic Azad University, Science and Research Branch of Tehran in the academic year 2018-19 who had taken entrepreneurship courses as part of their curriculum. To determine the sample size, stratified random sampling was used and 297 people were selected using Morgan table. The data collection tool was the Jena Standard Questionnaire (2020) based on a 5-item scale. The validity of the questionnaire was confirmed in terms of form and content by several experts, the validity was confirmed by the calculation of the slope and the validity of the questionnaire was confirmed by the calculation of the square root of the AVE. The reliability of the questionnaire was obtained through Cronbach's alpha for the whole questionnaire of 0.968. For data analysis, Cronbach's alpha tests, orthodontics (AVE), AVE root matrix, Kolmogorov-Smirnov, confirmatory factor analysis were used. Findings: The results showed that each of the components of attitude (emotional, behavioral and cognitive) and entrepreneurial environment has a significant effect on entrepreneurial intention. The results also confirmed the effect of control groups (gender and family history of the entrepreneur) on the relationship between entrepreneurial attitude and intention. Conclusion: Entrepreneurship training programs increase the intentions and attitudes (behavioral, cognitive and emotional) of individuals and perceived environment, which motivates people to entrepreneurship. Intention .
Effect of dietary Centrosema pubescens leaf meal on growth and reproductive traits of Archachatina marginata snails

ABSTRACT This study was conducted to determine the effect on growth and reproductive performance of supplementing dried Centrosema pubescens leaf meal to Archachatina marginata snails. A total of 80 growing, medium-sized A. marginata snails were used. Twenty snails were randomly assigned to one of the four experimental diets as T1, T2, T3, and T4 containing 0%, 5%, 10%, and 15% dietary inclusion levels of dried C. pubescens leaves, respectively. Each diet constituted a treatment and each treatment was replicated four times with five snails per replicate. Results showed that snails under T4 had the highest (P < .05) final body weight, average weight gain, and daily weight gain (346.89, 47.60, and 0.85 g, respectively) with the best feed conversion to meat rate of 2.12. The weekly feed intake and average body weight gain revealed the superiority of dietary T4 in supporting the growth of snails more efficiently than other dietary treatments (T1, T2, and T3) used in this study. The number of eggs laid, percentage fertility, and hatchability were highest (P < .05) for snails fed dietary T4 with the least (P < .05) embryo mortality of 2.22%. Archachatina marginata snails fed 15% dietary inclusion of dried C. pubescens leaves (T4) were the best in growth and reproductive performance.
Analysis of genetic diversity of Lagenandra spp. (Araceae) of Kerala (South India) using ISSR Markers

The Present study reveals the molecular variations in different species of Lagenandra , an aquatic plant collected from different geographical areas of Kerala State, India. Molecular analysis was carried out using ISSR markers. Out of the 18 primers screened, a total of 66 scorable polymorphic markers were generated. The genetic distance between the population ranged from 0.0016 to 0.0271 and the genetic identity ranged from 0.9732 to 0.9984. The standard deviation of Gene diversity, Shannon's Information index and effective number of alleles are about 0.1468, 0.0719 and 0.0866 respectively. It is evident that that there is distinct genetic variability among Lagenandra species, occurring in Kerala.
ANTIOXIDANT ACTIVITY OF WATER APPLE (Syzygium aqueum) FRUIT ANDFRAGRANT MANGO (Mangifera odorata) FRUIT

Objective: The aim of this study was to compare the antioxidant activity of fruit of water apple and fragrant mango against 1,1-diphenyl-2- picrylhydrazyl as a free radical.Methods: This study was conducted by visible spectrophotometry.Results: The water apple and fragrant mango contain reducing compounds including vitamin C. The vitamin C content of water apple and fragrant mango fruit was 0.087% (w/w) and 0.050% (w/w), respectively. The inhibitory concentration 50% value of fresh fruit of water apple and fragrant mango was 4.857 I¼g/ml and 4.379 I¼g/ml, respectively.Conclusion: Antioxidant activity of water apple fruit was higher than fragrant mango fruit.
Weakly supervised retinal vessel segmentation algorithm without groundtruth

In the current image processing field, medical image segmentation needs a lot of groundtruths, and the process of making these groundtruths is time-consuming and laborious. Thus, a novel retinal vessel segmentation algorithm without groundtruth is proposed in this Letter. The hierarchical clustering algorithm is first used to binary classify vessel and non-vessel pixels. Then classification results based on DRIVE databases are used as pseudo groundtruths to train the neural networks and transfer learning is considered for subsequent processing. Next the trained network is used as the feature extraction tool, by calculating and comparing the difference of image features between the target domain data (DRIVE database) and the source domain data (STARE, CHASE DB1, and HRF databases) extracted from the network. The data required for training is expanded based on semi-supervised clustering in this image feature space, finally the deep neural network is further fine-tuned. Experiments on the publicly available fundus image dataset DRIVE demonstrate that the proposed method outperforms many other state-of-the-art weakly supervised and unsupervised methods.
Design and Cost Study of Improved Scaled-Up Centrifugal Particle Receiver Based on Simulation

A numerical model of the CentRec® receiver has been developed and validated using the measurement data collected during the experimental test campaign of the centrifugal particle system at the solar tower Jülich. The model has been used to calculate the thermo-optical efficiency of a scaled-up 20 MWth receiver for various receiver geometries. A cost function has been deduced and was used to perform a technoeconomic optimization on an LCOH (levelized cost of heat) basis of the CentRec® receiver concept. Attractive LCOH as low as 0.0209 €/kWhth for a system with thermal storage, or as low as 0.0150 €/kWhth for the LCOH without storage, are predicted. This study has shown that the optimal configuration from an LCOH perspective for a 20 MWth centrifugal particle receiver reaches specific receiver costs of 35 €/kWth. Hereby the costs of the receiver can be reduced by 60 % compared to the original configuration.