Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Nonsurgical Modalities in Improving Facial Aging

Objective This review aims to summarize different kinds of applications of minimally invasive surgery in improving facial aging to provide a comprehensive and accurate introduction on the issue of esthetic treatment of facial skin. Overview. In the twentieth century, facial rejuvenation has become a new beauty trend. Facial cosmetology has entered a period of antiaging and rejuvenation therapies and microplastic surgery. The pursuit of beauty has promoted the development of minimally invasive plastic surgery. This review introduces the possible causes of facial aging and its related topics with a focus on facial injectable drugs, such as botulinum toxin, main filler materials (hyaluronic acid, calcium hydroxyapatite, poly L-lactic acid, collagen, autologous fat, and polymethyl methacrylate), and some current antiwrinkle technologies, such as thread lift and radiofrequency rhytidectomy. Conclusions Despite the difference in mechanisms of action, each technique can address facial aging involving the loss of collagen, displacement and enlargement of fat, and muscle relaxation. Combinations of these treatments can provide patients with reasonable, comprehensive, and personalized treatment plans.
FORMAT: A Reconfigurable Tile-Based Antenna Array System for 5G and 6G Millimeter-Wave Testbeds

This article introduces the FORMAT array, a reconfigurable millimeter-wave antenna array platform based on antenna tiles. FORMAT stands for Flexible Organization and Reconfiguration of Millimeter-wave Antenna Tiles, which is a unique hardware solution aiming to implement and demonstrate a variety of antenna array concepts, as well as different array architectures and configurations from the same basic module, providing even benchmark between different solutions and thus valuable insights into fifth-generation (5G) and beyond-5G antenna systems. The combination of a minimum-sized $2\times 2$ tile with 3D-printed frame parts enables antenna arrays of a variety of sizes, allows multiple beamforming architectures, and a range of different antenna element positioning in the array. The hardware implementation is thoroughly described, with a few different array assemblies being manufactured and measured, validating their antenna performance with over-the-air measurements. Finally, using FORMAT hardware as both base station and user equipment, a 5-m wireless communication link was set up, achieving 4.8 Gbps downlink speed with QAM64 modulation.
Obtaining dynamic Norton parameters of a solar panel from manufacturer data

Photovoltaic arrays have been shown to possess significant influence on the dynamic performance of coupled source-converter-load system while its dynamic resistance is the most important parameter, contributing to the overall system dynamics. In this paper, a method of deriving the parameters of linearized photovoltaic equivalent circuit from manufacturer data is proposed. The approach allows predicting the range of dynamic Norton parameters for the expected irradiation and temperature operation conditions thus defining clear bounds required for robust design of the system controller.
The Application of Copper Waterline on Laying Performance and Gut Health of Aged Laying Hens

The effect of the application of copper waterline on the performance and gut health of aged laying hens was evaluated in this study. Forty-eight 70-week-old laying hens were divided into two groups (three replicates of eight hens each): control and copper (Cu) groups provided with normal polyvinyl chloride (PVC) waterline or Cu waterline. The laying performance was measured during the four-week period of the experiment. The intestinal antioxidant status and the microbiota diversity of the cecal content were determined. Moreover, a bacteriostasis test on Escherichia coli and Salmonella enteritidis was conducted after inoculation in waterline and hens, respectively. The water Cu2+ content was increased by Cu waterline compared to the control (P<0.05). Cu waterline had no detectable effect on most production performances, however, it increased the egg weight (P<0.05). Cu waterline increased the Cu level in the eggshell. Cu level in excreta increased with time, especially in the final two weeks, however, there was no significant change in fecal Cu excretion. The lipid peroxidation product malondialdehyde content in ileum decreased (P<0.01), while the activities of CuZn-superoxide dismutase (SOD) of ileum and glutathione peroxidase (GSH-PX) activity of jejunum and ileum increased after Cu treatment. The relative abundance and richness of cecal microbiota increased after Cu treatment (P<0.05). Cu waterline changed the microbial composition, including the increased proportion of Methanocorpusculum, Paludibacter, and decreased proportion of Fucobacterium, Anaerobiospirillum, and Campylobacter. The colonization of E. coli and S. enteritidis in Cu waterline was suppressed by Cu treatment, indicating that Cu waterline had potential antibacterial properties. The result suggests that Cu waterline could inhibit the colonization of pathogenic microorganisms such as E. coli and Salmonella and facilitate the enrichment of cecal microbiota diversity.
starMC: an automata based CTL* model checker

Model-checking of temporal logic formulae is a widely used technique for the verification of systems. CTL \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$^*$\end{document}∗ is a temporal logic that allows to consider an intermix of both branching behaviours (like in CTL) and linear behaviours (LTL), overcoming the limitations of LTL (that cannot express “possibility”) and CTL (cannot fully express fairness). Nevertheless CTL \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$^*$\end{document}∗ model-checkers are uncommon. This paper presents (1) the algorithms for a fully symbolic automata-based approach for CTL \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$^*$\end{document}∗, and (2) their implementation in the open-source tool starMC, a CTL \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$^*$\end{document}∗ model checker for systems specified as Petri nets. Testing has been conducted on thousands of formulas over almost a hundred models. The experiments show that the fully symbolic automata-based approach of starMC can compute the set of states that satisfy a CTL \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$^*$\end{document}∗ formula for very large models (non trivial formulas for state spaces larger than 10480 states are evaluated in less than a minute).
PENGARUH PSYCHOLOGICAL EMPOWERMENT, EMOTIONAL INTELLIGENCE DAN ORGANIZATIONAL CITIZENSHIP BEHAVIOR TERHADAP KNOWLEDGE SHARING PADA SEKOLAH BINA BANGSA BANDUNG [THE EFFECT OF PSYCHOLOGICAL EMPOWERMENT, EMOTIONAL INTELLIGENCE, AND ORGANIZATIONAL CITIZENSHIP BEHAVIOR ON KNOWLEDGE SHARING IN BANGSA SCHO

This study aims to determine the effect of psychological empowerment, emotional intelligence, and organizational citizenship behavior on knowledge sharing in educators and education staff at Bina Bangsa School Bandung. The data in this study were obtained from the distribution of questionnaires given to 64 educators and education staff in the school. Further research data were analysed using SEM analysis with Partial Least Square (PLS) technique. The research itself uses a quantitative approach with the path analysis method to find out the coefficient effect of each of the variables. In order to collect the data with the census method using a questionnaire. The issue from the research stated that psychological empowerment, emotional intelligence, and organizational citizenship behavior have a positive effect on knowledge sharing in Bina Bangsa School. Furthermore, psychological empowerment and emotional intelligence have a positive effect on knowledge sharing through organizational citizenship behavior.
Participation of Women for Supporting Family Income in the Sukowono Sub-district

This study was conducted to determine of women's participation in increasing family income. The research will examine aspects of access, aspects of control, aspects of decision making, and aspects of participation in farming. The variable observed in the study was the level of participation consisting of access aspects, control aspects, decisionmaking aspects, and participation aspects. This research is a case study with a descriptive exploratory qualitative approach with the selection of respondents selected purposive sampling. Selecting respondents who have criteria has been determined by the researchers were women who have banana plants and chickens that contribute to the socioeconomic status of his family. Data collection was carried out in villages Sumberwringin, Sukowono dan Sukosari in the Sukowono sub-district. In the study, each village was 30 research subjects. Data was obtained based on interviews, documentation, and library studies. The participation of women in farming in the Sukowono subdistrict is still not optimal. Limited access for women in each element of participation consists of aspects of access, aspects of control, aspects of decision making, and aspects of benefits.
Tastes and odours in potable water:perception versus reality

Tastes and odours are amongst the few water quality standards immediately apparent to a consumer and, as a result, account for most consumer complaints about water quality. Although taste and odour problems can arise from a great many sources, from an operational point of view they are either ”predictable” or ”unpredictable”. The former - which include problems related to actinomycete and algal growth - have a tendency to occur in certain types of water under certain combinations of conditions, whereas the latter - typically chemical spills - can occur anywhere. Long-term control is one option for predictable problems, although biomanipulation on a large scale has had utile success. Detection and avoidance is a more practicable option for both predictable and unpredictable problems, particularly if the distribution network can be serviced from other sources. Where these are not feasible, then water treatment, typically using activated carbon, is possible. In general there is a reasonable understanding of what compounds cause taste and odour problems, and how to treat these. An efficient taste and odour control programme therefore relies ultimately on good management of existing resources. However, a number of problems lie outside the remit of water supply companies and will require more fundamental regulation of activities in the catchment.
Free as a Bird: Event-based Dynamic Sense-and-Avoid for Ornithopter Robot Flight

Autonomous flight of flapping-wing robots is a major challenge for robot perception. Most of the previous sense-and-avoid works have studied the problem of obstacle avoidance for flapping-wing robots considering only static obstacles. This paper presents a fully onboard dynamic sense-and avoid scheme for large-scale ornithopters using event cameras. These sensors trigger pixel information due to changes of illumination in the scene such as those produced by dynamic objects. The method performs event by-event processing in low-cost hardware such as those onboard small aerial vehicles. The proposed scheme detects obstacles and evaluates possible collisions with the robot body. The onboard controller actuates over the horizontal and vertical tail deflections to execute the avoidance maneuver. The scheme is validated in both indoor and outdoor scenarios using obstacles of different shapes and sizes. To the best of the authors' knowledge, this is the first event-based method for dynamic obstacle avoidance in a flapping-wing robot.
Potential Application of Citrus Valencia Essential Oil (EO) on Three Mango Varieties and It Effects on the Quality Attributes of the Fruits

In today’s world, synthetic preservatives, pesticides, fungicides, etc., misused are a call for concern, especially in the current health-conscious generation, whose consciousness to an extent have been due to the outbreak of many unknown and doubtful diseases. As such consumers' demands for as natural as possible or organic food have pushed food scientists, processors, preservatory, etc. to look for alternative natural sources especially plant botanicals. This study, therefore, extracted essential oil (EO) from orange peels (waste) of citrus Valencia fruit by a mechanical cold-press method. The essential oil was used for the treatment of three varieties of mango fruits (Broken, John, and Julie) and which were stored at room temperature. The fruits were then sampled and analyzed for quality attributes at four days intervals, from which the result of the control and treated mango fruits showed that citrus EO could extend the shelf-life of mango fruit by retaining most of the organoleptic properties in the unripped form. And in which 0.3 and 0.4 percent of the EO in carrier oil happens to show the best quality retention, a recommended percentage is used for further findings. However, it should be noted that the treated mango fruits did not ripen and that the immediate greenish outside of the peels due to the acidic nature of the extracted oil was also soft, but not the pulp of the fruits.
Simulating the Doctor's Behaviour: A Preliminary Study on the Identification of Atrial Fibrillation through Combined Analysis of Heart Rate and Beat Morphology

: Atrial ﬁbrillation (AF) is a medical disorder that affects the atria of the heart. AF has emerged as a world-wide cardiovascular epidemic affecting more than 33 million people around the world. Several automated approaches based on the analysis of the ECG have been proposed to facilitate the manual identiﬁcation of AF episodes. Especially, such approaches analyze the heartbeat morphology (absence of P-wave) or the heart rate (presence of arrhythmia). In this article, we present AMELIA (AutoMatic dEtection of atriaL fIbrillation for heAlthcare), an approach that simulates the doctor’s behavior by considering both the sources of information in a combined way. AMELIA is basically composed of two components; one integrating a LSTM (Long Short-Term Memory) Recurrent Neural Network (RNN) and the second integrating a rhythm analyzer. When the RNN reveals a heartbeat with abnormal morphology, the rhythm analyzer is activated to verify whether or not there is a simultaneous arrhythmia. AMELIA has been experimented by using well-known datasets, namely Physionet-AF and NSR-DB. The achieved results provide evidence of the potential beneﬁts of the approach, especially regarding sensitivity. AMELIA has an incredibly high potential to be used in applications of continuous monitoring, where the detection of AF episodes is a fundamental and crucial activity.
Efficient Function Queryable and Privacy Preserving Data Aggregation Scheme in Smart Grid

The collection of users' near-real-time electricity consumption data brings advantages to the operation of smart grids, while raising some security and privacy issues. Multiple privacy preserving data aggregation schemes have been proposed to address these problems. However, most schemes only focus on the aggregation of electricity consumption data without considering the data availability. In addition, although a data aggregation scheme that supports function queries on encrypted data has also been developed, its efficiency is insufficient. In this paper, we first propose an EC-ElGamal encryption algorithm with a double trapdoor decryption mechanism. Through employing the proposed algorithm and the elliptic curve Schnorr signature scheme, an efficient data aggregation scheme supporting privacy protection and function query is proposed for smart grids. This solution allows the control center and users to initiate various function queries on encrypted data. In order to lighten the calculation burden of the control center, we propose another cryptosystem named ElGamal-OU to improve the decryption efficiency, which also supports two independent decryption methods. Finally, the security analysis and performance comparison with related work show that our schemes have advantages in terms of computational, communication and storage overhead.
A vector representation of local image contrast patterns for lesion classification

Quantitative description of lesion image heterogeneity is a major task for computer-aided diagnosis of lesions, and it has remained a challenging task because the heterogeneity is associated with local image contrast patterns of each voxel. This work explores a novel vector representation of the local image contrast patterns of each voxel and learns the features from the local vector field across all voxels in the lesion volume. We generate a matrix from the first ring of surrounding voxels from each voxel in the image and perform a Karhunen-Loève transformation on this matrix. Using the eigenvectors associated with the largest three eigenvalues, we then generate a series of textures based on a vector representation of this matrix. Using an in-house dataset, experiments were performed to classify colorectal polyps using the learnt features and a Random Forest classifier to differentiate malignant from benign lesions. The outcomes show dramatic improvement for the lesion classification compared to seven existing classification methods (e.g. LBP, Haralick, VGG16), which learn the features from the original intensity image.
Effect of Protein Thermal Denaturation on the Texture Profile Evolution of Beijing Roast Duck

To investigate the mechanism of the texture formed by protein thermal denaturation, the profile and formation of texture and thermal denaturation of protein were evaluated using texture profile analysis (TPA) and transmission electron microscopy (TEM) combined with differential scanning calorimeter (DSC). Results indicated that the surface temperature of Beijing roast duck increased from 23.9 to 174.4 °C, while the center temperature rose from 20.6 to 99.3 °C during roasting. Shear force decreased significantly during the first 20 min, and the texture profile largely changed at 20 and 40 min. Firstly, Band I was broken and twisted, Band A was overstruck, and Z-line was diffused and finally disappeared, resulting in a blurred myofibril structure. The sarcomere considerably contracted within 30 min. Secondly, the main myofibrillar proteins were denatured at 20 and 40 min, respectively. The formation of hydrophobic interactions and the reduction of ionic bonds were observed. Thirdly, roasting induced protein thermal denaturation, which was correlated with interprotein forces, texture profile, and the shear force. Muscle fibers were damaged and shrunken, accompanied by the formation of hydrophobic interactions and the reduction of ionic bonds. The turning points were at 20 and 40 min, and the main proteins were denatured, leading to the formation of tenderness of Beijing roast duck.
ON THE SPEED OF SOUND IN STEAM

A study of the speed of sound in a pure water substance is presented here. The IAPWS data on the state of water and steam are applied only for investigating the speed of sound for a one-phase medium. A special numerical model for investigating the parameters of shock waves in steam is presented here and is applied for investigating extremely weak waves to obtain velocities representing the speed of sound in both one-phase and two-phase steam. Problems with the speed of sound in two-phase steam are discussed, and three types of speed of sound are derived for the metastable region of wet steam.
The Influence of Stiffeners on the Propagation of Guided Ultrasonic Waves

Stiffeners are important structural components in modern composite and honey-comb structures. The safe operation of such composite structures, which are com-monly used in aeronautical applications, requires careful monitoring as hidden de-fects may compromise the structural safety. In order to improve the reliability of ultrasonic damage detection in stiffened plate structures, experimental and numeri-cal studies are conducted, in this paper, in an effort to understand the interaction of guided ultrasonic waves with simple models of the stiffener. Through a series of measurements in different positions, the amplitudes of scattered waves for various configurations of the stiffener are determined. Moreover, the group velocity of the waves in the stiffened structure is analyzed. The experimental findings are compared with results from numerical simulations. doi: 10.12783/SHM2015/248
Gastric Cancer: Mechanisms, Biomarkers, and Therapeutic Approaches

Gastric cancer (GC) remains one of the most common deadly malignancies worldwide. Recently, several targeted therapeutics for treating unresectable or metastatic GC have been developed. Comprehensive characterization of the molecular profile and of the tumor immune microenvironment of GC has allowed researchers to explore promising biomarkers for GC treatment and has enabled a new paradigm in precision-targeted immunotherapy. In this article, we review established and promising new biomarkers relevant in GC, with a focus on their clinical implications, diagnostic methods, and the efficacy of targeted agents.
Influence of Ambient Temperature on Part Distortion: A Simulation Study on Amorphous and Semi-Crystalline Polymer

Semi-crystalline polymers develop higher amounts of residual stress and part distortion (warpage) compared to amorphous polymers due to their crystalline nature. Additionally, the FDM processing parameters such as ambient temperature play an important role in the resulting residual stresses and part distortion of the printed part. Hence, in this study, the effect of ambient temperature on the in-built residual stresses and warpage of amorphous acrylonitrile-butadiene-styrene (ABS) and semi-crystalline polypropylene (PP) polymers was investigated. From the results, it was observed that increasing the ambient temperature from 50 °C to 75 °C and further to 120 °C resulted in 0.22-KPa and 0.37-KPa decreases in residual stress of ABS, but no significant change in the amount of warpage. For PP, increasing ambient temperature from 50 °C to 75 °C led to a more considerable decrease in residual stress (0.5 MPa) and about 3% increase in warpage. Further increasing to 120 °C resulted in a noticeable 2 MPa decrease in residual stress and a 3.4% increase in warpage. Reduction in residual stress in both ABS and PP as a result of increasing ambient temperature was due to the reduced thermal gradients. The enhanced warpage in PP with increase in ambient temperature, despite the reduction in residual stress, was ascribed to crystallization and shrinkage.