Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular characterization of chemosensory protein genes in Bactrocera minax (Diptera: Tephritidae)

Chemoreception is of great importance for survival of insects. Chemosensory proteins (CSPs) are believed to be involved in the perireceptor events of chemosensory system in many insect species, but this has not been clarified in the citrus fruit fly, Bactrocera minax, a serious dipteran pest of citrus crops. Previous studies indicated that four CSP genes were identified in many fly speices in Diptera. In the present study, we also identified four CSP genes in B. minax, namely BminCSP1–4, from a transcriptome database. All CSP proteins encoded by these genes bear the typical hallmarks of the CSP family: an N‐terminal signal peptide and the four highly conserved cysteine residues. Phylogenetic analysis comparing with other dipteran CSPs indicated that dipteran CSPs may evolved from three ancestral CSP genes, and revealed the sequence diversities of BminCSPs and showed that BminCSP1–4 are clustered in separate groups, indicating the possibility of their contrasting function in B. minax. Furthermore, the tissue distribution of the four CSP genes in adult B. minax was analyzed by real‐time quantitiative PCR. The results demonstrated that BminCSP3 are significantly transcriptionally enriched in antennae; BminCSP4 expressed primarily in heads; BminCSP1 and BminCSP2 showed high expressions in different tissues, such as antennae, abdomens and wings. Based on these findings, the different implications for the functions of BminCSPs are discussed. This study will offer a significant indication for further functional studies of the CSPs in B. minax.
The Method of Tile Surface Defect Detection Based on Improved Deeplabv3+

To deal with the problems of slow model running speed and inaccurate edge feature extraction in the current ceramic tile surface defect detection, this paper proposed an improved ceramic tile surface defect detection method. This method effectively improves the running speed of the algorithm by using the lightweight backbone network MobileNetv2 instead of the backbone network Xception of Deeplabv3+. At the same time, the attention mechanism module CBAM is introduced, which can pay more attention to edge defect information and small-scale defect information, and suppress useless background information and noise information, thus significantly improving the segmentation accuracy. The experimental results show that the MIoU value of the improved algorithm reaches 89.34 %, the MPA value reaches 98.32 %, the FPS is 51.47, and the Accuracy value is 98.56 %. Compared with the model before the improvement, it is increased by 3.87 %, 1.47 %, 7.61 and 1.32 %, respectively, and the segmentation accuracy and detection speed are significantly improved. Therefore, the algorithm proposed in this paper can effectively complete the ceramic tile surface defect detection task.
THE ROLE OF CONTEMPORARY LEADERSHIP AT THE LIBRARY AND INFORMATION SCIENCE STUDENT ASSOCIATION IN THE FACULTY OF HUMANITIES, UNIVERSITAS INDONESIA

Introduction/Main Objectives : Leadership is important in enabling a person and a nation to improve and advance. Background Problems: Leadership is not something that everyone seeks, especially in youth. The youth leadership crisis can be seen from the lack of students who want to become chairpersons in university extracurricular activities. Novelty: This research makes a three-fold contribution. First, this study presents an analysis of the ‘Evolving Leadership Practices Assessment’ quizzes (Olson and Singer, 2004) distributed by the Chairperson and Vice-chairperson of the Library Science Student Association (IMASIP) the Faculty of Humanities, Universitas Indonesia. Second, this study assesses the IMASIP FIB-UI Daily Management Board. This study also interviewed five informants with 12 closed-ended questions. Research Methods : This paper assesses youth leadership by using a mix of qualitative and quantitative methods, with a case study approach. Finding/Results : Our result shows and supports the assumption that age and years of leadership will affect the scores obtained at IMASIP, which further research must examine. This research also suggests that the Daily Management Board's performance can be maintained by connection, contribution, and collaboration. Conclusion: The results identify efforts to build and improve leadership among students, including developing and increasing seminars and training in leadership to prepare students who have a role as the successors of the nation’s leadership.
Effects of some Food Juices and Additives on some Physicochemical, Textural, Color, Microbiological and Sensory Properties of Cemen Paste

The aim of this study was to determine the effects of some juices and additives on some characteristic properties of cemen paste, which is a coating material in pastirma processing. For this purpose, they were incorporated into cemen paste formulation and the cemen paste was coated on wood blocks mimicking the pastirma and then stored at two different temperatures (4 and 20C) for 30 days. pH and brightness values of the samples decreased during the storage while color values were significantly different from each other. Pickle juice and carmine added samples exhibited similar effects on sensory scores and gave the highest overall acceptability level while the citric acid added sample generally had high scores in all storage periods. It was concluded that acidic foods and their juices could successfully be used in the cemen paste as an alternative to undesirable food ingredients. Practical Applications Cemen paste that is used as a coating material for pastirma (a dried-cured meat product commonly consumed in Turkey) plays a very important role on many quality characteristics such as microbiological, textural and sensory properties of the product. Appearance of cemen is also critical for consumer preference since it is the first visual sensorial parameter when testing the product quality. Carmine is a coloring agent that is used in cemen paste to impact its desirable color. However, consumers tend to avoid see animal based food additives such as carmine in the food formulations. In this study, the use of readily available materials such as lemon juice, pickle juice and gilaburu juice in cemen instead of carmine was investigated and promising results were obtained.
The Legacy of Exploitation in Intercountry Adoptions from Ethiopia: “We Are All One Family Now”

Abstract In 2018, the Ethiopian Parliament closed its intercountry adoption program. Momentum to end the program followed reports of adoption-related exploitation including the abduction and sale of children, falsification of documentation, bribing of officials, inaccurate testimonies, and false promises to birth families. The Ethiopian Parliament also cited concerns over the identity and psychological problems of adoptees as contributing factors to the ban. This paper explores how adoptive parents, with knowledge of exploitation in their own adoptions, are responding emotionally and pragmatically. Qualitative analysis of interview data provides insight into how adoptive parents communicate about and integrate referral and emergent adoption narratives in the service of healthy identity development in adopted children.
Quantitative Analysis of Infrared Spectroscopy of Alkane Gas Based on Random Forest Algorithm

The advantages of infrared spectroscopy analysis method are safe, effective, fast, pollution-free, and low-cost, which perfectly meets the current industrial measurement and measurement needs. In this paper, the infrared spectra of various elemental alkane gases are treated by random forest algorithm combined with multiple pretreatment schemes. Firstly, the number of components and concentration labels of alkane gas in the dataset are analyzed for manual data division, and three pretreatment methods have been selected: principal component analysis, Lowess smoothing method and S-G smoothing method, and two parameters in the random forest are fixed, and the regression prediction of ethane low concentration components is carried out by combining three pretreatments. S-G smoothing method is preferred to be the optimal pretreatment method. Then, S-G smoothing is used as the preprocessing to optimize the two parameters of the random forest. It is concluded that the optimal parameters are optimal when the number of decision trees is 300 and the number of leaves is 4, and the low concentration components of ethane are best predicted, with $\mathrm{R}^{2}=0.9991$ and $\text{RMSE}=4.1495$.
Nutritional composition, antioxidant activity and anticancer potential of Syzygium cumini (L.) and Syzygium malaccense (L.) fruits

Intending to highlight new fruits with nutraceutical potential, the present work reports the nutritional and antioxidant content of Syzygium cumini (L.) Skeels (S. cumini) and Syzygium malaccense (L.) Merr. & LM Perry (S. malaccense), and evaluates the anticancer potential against CP-H460 (lung carcinoma line) and its functionality over HEK-293 (healthy embryonic kidney line), two human cells. For this, the physical-chemical characterization of the lyophilized fruits was carried out, and the content of total phenolic compounds (Folin-Ciocalteau) and the antioxidant potential (DPPH, FRAP, and ORAC) was determined. For anticancer activity, aqueous extracts were prepared and evaluated using the MTT (3-[4,5-dimethyl-triazol-2-yl]-2,5-diphenyltetrazolium) assay for periods of 20 hours. These two species are rich in dietary fibers, mainly insoluble fibers, and are sources of natural compounds and antioxidants, which possibly explain the protective potential against cancer cells. Thus, it is expected, as two source fruits, results obtained (p <0.01), mainly S. cumini in contact with CP-H460, which reduces the growth of a cell with lung carcinoma. This finding revealed that these fruits have antiproliferative activity against a lung carcinoma cell, where the highest concentration tested (2 mg/mL) was able to inhibit almost 80% of cell proliferation. Besides, when S. cumini was evaluated in HEK-293, all concentrations evaluated showed cell viability superior to the positive control (p <0.01). In conclusion, both S. cumini and S. malaccense can be used as nutraceuticals in complementary therapies given their nutritional properties.
Adaptive fuzzy finite‐time quantized control for stochastic nonlinear systems with full state constraints

This article studies the adaptive fuzzy finite‐time quantized control problem of stochastic nonlinear nonstrict‐feedback systems with full state constraints. During the control design process, fuzzy logic systems are used to identify the unknown nonlinear functions, integral barrier Lyapunov functions are employed to solve the state constrained problem. In the frame of backstepping design, an adaptive fuzzy finite‐time quantized control scheme is developed. Based on the stochastic finite‐time Lyapunov stability theory, it can be guaranteed that the closed‐loop system is semiglobal finite‐time stable in probability, and the tracking errors converge to a small neighborhood of the origin in a finite time. Finally, two simulation examples are provided to testify the effectiveness of the developed control scheme.
Secure Verifiable Scheme for Biometric System based on Secret Sharing and CSK

Biometric templates stored in a database introduce a number of security and privacy risks. The requirements for an architecture that does not suffer from these risks are needed. Therefore, the reference information that is stored in the database must not give sufficient information to make successful impersonation possible. Also, the reference information must be retrieved as little as possible about the original biometrics; in particular it reveals no sensitive information. The proposed system introduces a novel method for template protection and a verification using the merging techniques of chaotic shift keying (CSK) and secret image sharing (SIS). The proposed architecture assures a complete protection framework for the biometric templates, which involves two phases: the first phase is to protect the ID image; a watermark ID image that includes the personal information embedded in the template using a novel watermarking algorithm to generate two shares, and then it is utilized to verify the accuracy of the revealed template. The second phase is for template protection, where the generated shares are encoded separately using CSK and then one share is stored in the database and the other kept with the user. The experimental and comparative results demonstrate that the proposed framework retains the protection of the template and preserves robustness to malicious attacks, while it does not have a discernible effect on the quality of the template.
High-Entropy Oxides Based on Valence Combinations: Design and Practice

High-entropy oxides (HEOs) are a new class of materials that are promising for a wide range of applications. Designing HEOs needs to consider both geometric compatibility and electrical equilibrium. However, there is currently no available method to systematically consider these two factors when selecting constituent materials for making HEOs. Here we propose a two-step strategy, where a HEO system to be explored is first partitioned into multiple subsystems based on the valence combinations of substituted cations; the geometric compatibility is then considered in selecting suitable substituted cations. We demonstrate this strategy by using A(5B0.2)O3 perovskite as a model system. We show that the system can be partitioned into 12 subsystems. Ten of the subsystems have formed a single-phase cubic perovskite, while two have partially ordering structure. The formation of single phases is correlated to Goldschmidt's tolerance factor, while the formation of the ordering structure is mainly correlated to cation-valence difference. We anticipate that this strategy is applicable to exploring HEOs in other systems.
Natural Hazards and Extreme Events in the Baltic Sea region

Abstract. A natural hazard is a naturally occurring extreme event with a negative effect on people and society or the environment. Natural hazards may have severe implications for human life and they can potentially generate economic losses and damage ecosystems. A better understanding of their major causes, probability of occurrence, and consequences enables society to be better prepared and to save human lives and to invest in adaptation options. Natural Hazards related to climate change are identified as one of the Grand Challenges in the Baltic Sea region. We here summarise existing knowledge of extreme events in the Baltic Sea region with the focus on past 200 years, as well as future climate scenarios. The events considered here are the major hydro-meteorological events in the region and include wind storms, extreme waves, high and low sea level, ice ridging, heavy precipitation, sea-effect snowfall, river floods, heat waves, ice seasons, and drought. We also address some ecological extremes and implications of extreme events for society (phytoplankton blooms, forest fires, coastal flooding, offshore infrastructures, and shipping). Significant knowledge gaps are identified, including the response of large scale atmospheric circulation to climate change, but also concerning specific events, for example, occurrences of marine heat waves and small-scale variability of precipitation. Suggestions for future research includes further development of high-resolution Earth System models, and the potential use of methodologies for data analysis (statistical methods and machine learning). With respect to expected impact of climate change, changes are expected for sea-level, extreme precipitation, heat waves and phytoplankton blooms (increase) and cold spells and severe ice winters (decrease). For some extremes (drying, river flooding and extreme waves) the change depends on the area and time period studies.
Fundamentals and Application of Osmotic Dehydration

Osmotic dehydration is a water removal process that consists of placing foods, such as pieces of fruits and vegetables, in a hypertonic solution. Both mass fluxes lead to a decrease of the water activity in the product, increasing its shelf life. It can be used as a single dehydration process or as a pre-treatment of other processes such as drying, pasteurization or freezing. Heat and mass transfer gradients associated to the process produce changes in the chemical, physical and structural characteristics of the vegetable tissue. The knowledge and prediction of these changes are very important because they affect the quality of the final product, process modelling and design of process equipment. This work presents some new experimental data during osmotic dehydration of fruits. Some models were used so as to obtain predicted values during osmotic dehydration.
An application of filtered back projection method for computed tomography images

Mathematical methods take an important part in reconstruction technologies of radiographic image. Back projection, iterative, and analytical (Two-dimensional Fourier, Filtered Back Projection) methods are the most important procedures for image reconstruction. Whenever there exists numerous projections, analytical methods have a great performance in speed and accuracy and due to these advantages they are comprehensively used for X-ray imaging. One of the widespread used methods in tomographic image reconstruction is Filtered Back Projection (FBP) algorithm. This paper presents an application of this reconstruction algorithm for a generated image of the object. Shepp-Logan filter is used to form the filtered back projection image and performance improvement is investigated. The obtained images indicate that FBP algorithm can be substantial for various applications in the field of medicine and industry.
Numerical analysis of coupled systems of ODEs and applications to enzymatic competitive inhibition by product

Enzymatic inhibition is one of the key regulatory mechanisms in cellular metabolism, especially the enzymatic competitive inhibition by product. This inhibition process helps the cell regulate enzymatic activities. In this paper, we derive a mathematical model describing the enzymatic competitive inhibition by product. The model consists of a coupled system of nonlinear ordinary differential equations for the species of interest. Using nondimensionalization analysis, a formula for product formation rate for this mechanism is obtained in a transparent manner. Further analysis for this formula yields qualitative insights into the maximal reaction velocity and apparent Michaelis-Menten constant. Integrating the model numerically, the effects of the model parameters on the model output are also investigated. Finally, a potential application of the model to realistic enzymes is briefly discussed.
A novel face recognition method based on fusion of LBP and HOG

As one of the hot topics in the ﬁeld of computer vision research, face recognition technology has received signiﬁcant attention due to its potentiality for a wide range of applications in government as well as commercial purposes. In practical applications, although several existing face recognition methods have achieved good performances in speciﬁc scenes, they easily suffer from a sharp decline in recognition rate if affected by different conditions of light, expression, posture and occlusion. Among many factors, inﬂuences of complex illuminations on face recognition are particularly signiﬁcant. To further improve the performance of the existing local binary pattern (LBP) operator, neighbourhood weighted average LBP (NWALBP) is ﬁrst proposed for fully considering the strong correlations between pixel pairs in the neighbourhood, which extends the traditional LBP uni-layer neighbourhood template window to the bi-layer neighbourhood template window and calculates the weighted average of bi-layer neighbourhood pixels in each direction. Then, inspired by center symmetric LBP (CS-LBP), centre symmetric NWALBP (CS-NWALBP) is further proposed, which can effectively reduce computation complexity by only comparing the weighted average values of the neighbourhood pixels that are symmetric about the centre pixel. Finally, by combining the merit of histogram of oriented gradient (HOG), a feature fusion algorithm named CS-NWALBP + HOG is suggested. Several experiments have eventually demonstrated that our proposed algorithms have more robust performance under complex illumination conditions if compared with many other latest algorithms.
Concern over hybridization risks should not preclude conservation interventions

Conservation interventions such as assisted migration and genetic alterations are controversial in part because, through unintended hybridization events, they may imperil native species. Threats could stem from hybrid offspring having altered fitness or from genetic swamping due to extensive introgression of non‐native genes. Over the last 40 years, papers discussing hybridization increasingly use value‐laden terminology (e.g., “genetic contamination”). Such terms presume that any amount of hybridization equates to harm, but this perspective is at odds with modern evolutionary theory's recognition of hybridization as a creative force that can accelerate evolution or spur adaptive breakthroughs. To assess the evidence undergirding perceptions of hybridization threats, we examined the IUCN's Global Invasive Species Database (GISD). Of 870 invasive species, the GISD identified 35 as potentially threatening endemic taxa via hybridization. For each of these 35 species, we assessed the quality of data that the GISD cited pertaining to hybridization. Direct evidence for hybridization was cited for only 16 species, and there was neither direct nor indirect evidence demonstrating reduced fitness of hybrid offspring for 18 species. In our era of rapid environmental change, it is time to examine hybridization case‐by‐case and not to presume that hybridization always presents a threat to biodiversity, but rather, to consider it as a potential pathway to species survival.
Improvement in gas permeability, selectivity, and stability of asymmetric membranes based on poly(vinyltrimethylsilane)

A marked improvement in gas separation properties of asymmetric membranes based on poly(vinyl-trimethylsilane) containing traces of solvent and nonsolvent used in membrane preparation was achieved by thermal treatment in a closed volume. Thermal treatment in a temperature range from 40 to 180°C appeared to be effective upon variation of exposure time from one minute to several hours. Thermal treatment of asymmetric membranes was shown to improve their stability after plasmochemical modification.
WallTokens: Surface Tangibles for Vertical Displays

Tangibles can enrich interaction with digital surfaces. Among others, they support eyes-free control or increase awareness of other users’ actions. Tangibles have been studied in combination with horizontal surfaces such as tabletops, but not with vertical screens such as wall displays. The obvious obstacle is gravity: tangibles cannot be placed on such surfaces without falling. We present WallTokens, easy-to-fabricate tangibles to interact with a vertical surface. A WallToken is a passive token whose footprint is recognized on a tactile surface. It is equipped with a push-handle that controls a suction cup. This makes it easy for users to switch between sliding the token or attaching it to the wall. We describe how to build such tokens and how to recognize them on a tactile surface. We report on a study showing the benefits of WallTokens for manipulating virtual objects over multi-touch gestures. This project is a step towards enabling tangible interaction in a wall display context.