Miracle-dz/UniFAR-FTUs huggingface dataset:
Region Attention Enhanced Unsupervised Cross-Domain Facial Emotion Recognition

The visual emotion recognition from facial expressions easily suffers barrier problems of varying brightness, head pose change, various image scales when the recognition is performed in different domains. Therefore, it is required to erase such domain barriers. Considering that the human expresses their emotions always relying on the muscle motion near five sense organs of face, local features around them are typically crucial. In this paper, we propose a Region Attention eNhanced Domain Adaptation (RANDA) approach for unsupervised cross-domain facial expression recognition (FER). In RANDA, we design an unsupervised domain adaptation solution that adopts an iterative pseudo label assignment method to provide pseudo labels in the target domain, then employs adversarial learning to confuse feature representation of facial expressions in the source and target domains. Furthermore, a facial landmark guided fine-grained region attention learning module is designed to enhance significant emotion features and simultaneously weaken domain discrepancy. The proposed RANDA is adopted for cross-domain emotion recognition, and extensive evaluations are performed on multiple datasets, i.e., CK+, MMI, SFEW, RAF-DB, AffectNet. Results indicate that the RANDA outperforms the state-of-the-art approaches. It provides an effective solution for the cross-domain FER.
REHABILITASI BENDUNG SINOMAN DI KALI BRANGKAL UNTUK MENGATASI BANJIR DI DESA SOOKO, KOTA MOJOKERTO

Banjir merupakan permasalahan umum yang sering melanda sebagian besar wilayah Indonesia.Salah satunya terjadi di Kali Brangkal yang berada di Kota Mojokerto. Pada Tahun 2004 terjadi banjir di Kota Mojokerto, Banjir tersebut disebabkan karena adanya beberapa ruas tanggul yang putus di hulu Bendung Sinoman. Akibatnya, timbul genangan air di Desa Sooko,Kota Mojokerto. Selain itu, ada dugaan bahwa penyebab jebolnya tanggul akibat dari dampak pembendungan pada Bendung Sinoman. Untuk itu permasalahan banjir perlu segera diatasi sebab daerah yang banjir merupakan daerah pemukiman penduduk Penelitian ini dilakukan dengan pendekatan sederhana untuk mencari kesesuaian debit puncak dan bentuk hidrograf aliran antara hidrograf terukur dan hidrograf satuan sintetis pada daerah aliran Kali Brangkal, beberapa metode seperti metode Gama I, metode Nakayasu, metode Snyder, metode ITB-1 dan metode ITB-2 digunakan untuk menghitung debit puncak. Untuk memperoleh profil muka air dilakukan simulasi dengan bantuan software Hec-Ras. Konsep yang direncanakan dalam rangka pengendalian banjir tersebut yaitu dengan modifikasi Bendung Sinoman dengan mengurangi tinggi mercu bendung, penurunan mercu bendung diharapkan dapat menurunkan tinggi muka air dihulu bendung yang menjadi penyebab banjir Hasil dari penelitian ini, menunjukkan bahwa hidrograf yang paling sesuai dengan hidrograf terukur adalah hidrograf sintetik Nakayasu. Debit puncak pada hidrograf kala ulang 100 tahun adalah sebesar 636,25 m 3 /s. Hasil simulasi dengan input debit kala ulang 100 tahun pada kondisi bendung eksisiting terjadi banjir. Dan dilakukan modifikasi terhadap Bendung Sinoman dengan mengurangi tingggi mercu 3m hasilnya belum dapat mengatasi banjir. Untuk mengatasi hal itu perlu peninggian tanggul 1 m di tanggul sebelah kiri dan 1.5 m di tanggul sebelah kanan. Hasil simulasi dengan peninggian tanggul, banjir di hulu bendung dapat teratasi. Kata kunci : Debit Banjir, Mercu bendung, Hec-ras,Tanggul,Tinggi Muka Air.
Non-Invasive Measurement of Exercise-Induced Oxidative Stress in Response to Physical Activity. A Systematic Review and Meta-Analysis

Physical activity may benefit health by modulating oxidative stress and inflammation. However, the selection of suitable exercise-induced oxidative stress biomarkers is still challenging. This study aimed at systematically summarizing the available evidence on exercise-induced oxidative stress measured in urine and/or saliva. Two meta-analyses including the most frequently quantified biomarkers of oxidative stress, namely, urinary isoprostane and DNA oxidation products, were performed. Three electronic databases (PubMed, EMBASE and Cochrane CENTRAL) were interrogated. Among 4479 records, 43 original articles were included in the systematic review and 11 articles were included in meta-analysis I and II, respectively. We observed a pooled trend of increase of urinary isoprostanes in response to physical activity (+0.95, 95% CI: −0.18; 2.09). In comparison with aerobic exercise, anaerobic training determined a greater induction of isoprostanes (+5.21, 95% CI: 2.76; 7.66, p < 0.0001), which were markedly increased after vigorous physical activity (+6.01, 95% CI: 1.18; 10.84, p < 0.001) and slightly decreased in response to exercise interventions protracted over time (e.g., months) (−1.19, 95% CI: −2.25; −0.12, p < 0.001). We recommend the most integrative approach of oxidative stress multi-marker panels in response to physical activity instead of selecting one preferential biomarker to quantify physical activity-induced oxidative stress in humans.
Asymmetry drives the cumulative impacts of multiple stressors on freshwater ecosystems under a warming climate

Climate warming is an important stressor in freshwater ecosystems, yet its interactive effects with other environmental changes are poorly understood. We address this challenge by testing the ability of three contrasting null models to predict the joint impacts of warming and a second stressor using a new database of 296 experimental combinations. Despite concerns that stressors will interact to cause synergisms, we found that net impacts were best explained by the effect of the worst stressor (the dominance null model). When this stressor’s impact was at least 50% greater than that of the second, the dominance model was most accurate in 62% of responses. Prediction accuracy depended on the identity of the stressors and declined at higher levels of biological organisation. Together these findings suggest we can often effectively forecast impacts of multiple stressors by focusing on the degree of asymmetry that exists among their independent impacts.
Configurations of Adult Attachment, Indicators of Mental Health and Adverse Childhood Experiences in Women: A Cross-Sectional Study

The relationship between adverse childhood experiences, attachment and adult mental health has been pointed out in a large amount of studies. In a sample of 339 women receiving support from mental health and social services, this research analyzed the association between three adult attachment variables (fear of rejection or abandonment—FRA; desire for closeness—DC; preference for independence—PI) and four mental health indicators. After dichotomizing these variables, we constructed eight configurations of attachment and examined their association with mental health indicators. BAB people (those below the median in FRA, above in DC and below in PI) obtained the most favorable scores in mental health, whereas the ABA configuration (above the median in FRA, below in DC and above in PI) was the least favorable. The association between attachment configurations and mental health indicators was different to what might be expected, aggregating the effects of individual attachment variables. When analyzing the relationship between configurations and adverse childhood experiences (ACEs), women with an ABA configuration reported the highest number of ACEs and eight ACE types had a higher-than-expected contingency coefficient. In conclusion, these findings suggest that certain adult attachment configurations are associated with a greater number of ACEs and poorer mental health indicators in adult women.
Closed-Loop Motion Capture Feedback Control of Small- Scale Aerial Vehicles

An approach is presented for closed-loop feedback control of autonomous and teleoperated aerial vehicles in a laboratory setting using off-the-shelf motion capture (MoCap)hardware. The system provides general purpose position feedback capabilities for use in the early development stages of UAVs and other robotic systems. Advantages of this system include increased accuracy, scalability, and robustness as compared to other methods of tracking and control for these types of vehicles. Implementation of the concept for motion control of indoor hovering vehicles is discussed.
e-learning Opportunities and Challenges in India

In the age of globalization and technological revolution the term e-learning has got enormous impor- tance in recent years. Globalization has generated a good vibration and more opportunities in the field of education and there is e-learning technology got potential to spread and provide learning facilities at remote locations. The use of internet has given needed space to reach e-learning at wide area through computer networks. e-learning has been accepted as a learning tool by primary and higher educational institutions. Its features make possible 24x7 availability, mobility and skill improvements. Present paper concentrates on two major aspects e-learning tools & tech- niques and finding opportunities and challenges for e-learning. Introduction: The term e-learning stands for electronic learning. The term is in use since many years but in last five years it has gained popularity and a formal tool for teaching and learning activities. e-learning is a rapidly de- veloping field in academic, government, corporate and community sectors. e-learning focus on human interaction and different methods are used for e-learning i.e. online learning, internet learning, distributed learning, networked learning, tele-learning, virtual learning, web based learn- ing, distance learning, etc.
Effect of saline processed Icacinia manni (earthball) on performance, egg quality, blood profiles and carcass indices of laying hens

Twelve week feeding trial was conducted to investigate the effect of 10 and 20% replacement of maize with Icacinia manni meal processed in saline on the laying performance, egg quality characteristics, internal organ evaluation, hematological and serum biochemistry of laying hens. Three experimental diets were formulated in which Icacinia manni processed in saline replaced maize at 0% for T1 (control) 10 and 20% for T2 and T3, respectively. One hundred and eighty laying hens (Isa Brown) with 6 weeks of laying life were randomly allotted to three dietary treatments with nine replicates of twenty birds per replicate in a completely randomized design. The laying performance, carcass/organs, hematology and serum biochemistry, egg quality analysis showed no significant differences (p>0.05) at the end of the experiment. The values for hen-day production of birds fed 10% Icacinia manni processed in saline showed numerical increase for hen day egg production and egg weight over the control and 20% groups (T1 and T3 respectively). The study revealed that Icacinia manni processed in saline can replace 20% maize in layers diets without detrimental effect on the performance, egg quality characteristics, internal organs, haematology and serum biochemical indices.
Psychometric properties of the Arabic version of the UCLA Loneliness Scale (ULS-8) among Saudi female undergraduate students

Background: The prevalence of loneliness among students indicates the need for its assessment by a valid and reliable tool. This study investigates the psychometric properties of the Arabic version of the short-form University of California Los Angeles Loneliness Scale (ULS-8) among Saudi undergraduate students. Methods: A cross-sectional survey was distributed to the participants (n = 753) through their university emails to target female students in two universities in Riyadh, Saudi Arabia. They completed an Arabic translation of the eight items ULS-8 and the Arabic version of the Patient Health Questionnaire-9 (PHQ-9). Construct validity of the Arabic version of ULS-8 was evaluated by exploratory factor analysis and confirmatory factor analysis. The convergent validity of the scale was assessed using PHQ-9. Reliability was assessed by Cronbach alpha. Results: Construct validity showed that the ULS-7, which excluded item #3 from the ULS-8, had had a greater good-fit model. The score of ULS-7 had converged significantly and positively on the depression score (r = 0.679, p < 0.010). The overall Cronbach’s an of the ULS-6 was 0.78. Conclusion: The present study results indicate that the Arabic version of ULS-7 was an adequate concise measure of loneliness.
Instantaneous Ripple Energy Balancing Control to reduce Input Ripple Current in Grid connected BESS

The cascaded-H bridge converter (CHBC) has become one of the most popular converter topologies for grid-scale battery energy storage. The single phase inverter employed in CHBC modules draws low harmonic ripple power from the DC bus which results in ripple currents being drawn from the battery. The low frequency ripple current can severely degrade battery life. Moreover, a large DC bus capacitor is needed to limit the resulting DC bus voltage oscillations. This paper proposes an energy-balancing based control of a buck type active power filter (APF) to buffer the ripple power of multiple orders being drawn from the battery. Also, the proposed control allows utilizing a lower value of DC bus capacitor, which will result in reduced size and improved reliability. Real-time hardware-in-the-loop simulation results verify the validity of the proposed method.
49. ANALYSIS OF NOISE ON DIGITAL SONIC LOG DATA AT LEG 120 SITES. DERIVED SYNTHETIC SEISMOGRAM AND CORRELATION WITH MCS DATA AT SITE 7471

During Leg 120, weather conditions and time constraints restricted logging operations to Sites 747 and 750; only the seismic-stratigraphic combination was run at these sites. For some intervals, the sonic digital tool produced extremely noisy velocity logs that made interpretation of the data very difficult, even impossible. Three types of noise were observed: phase skipping, oscillations caused by noncompensated heave, and discrete aberrant velocity values. The heave-related oscillations recorded on the velocity logs were eliminated by deriving a simple model simulating the tool movement. The aberrant velocity values, essentially caused by failures in recording the signal from one of the two transmitters, were eliminated by inspection of the individual waveforms using an interactive software package. This software program was also used to pick the compressional arrival time. A composite velocity log accounting for all these corrections and complemented for the unlogged part of the hole with the core-measured velocities was used to derive a synthetic seismogram at Site 747. The synthetic seismogram was correlated with a multichannel seismic reflection profile and the lithologic units, which allowed us to define four seismic sequences that could be identified with the K2-K3, P1-P2, PN1, and NQ1 sequences of the Raggatt Basin in the Southern Kerguelen Plateau.
Performance Analysis of Single Module Thermoelectric Generator

The need of energy is increasing enormously day by day and presently it is being fulfilled mostly by depleting energy resources like coal and petroleum based fuels. This situation pushes mankind to search for novel green technologies which can convert efficiently even low grade heat energy into useful energy. Thermoelectric generator (TEG) promises to be clear technology to generate electricity. TEG uses temperature gradient between source and sink to generate electricity. In this study, performance of commercially available thermoelectric module was studied using a specially designed cross flow heat exchanger. The heat exchanger was optimized previously using commercially available CFD package Ansys CFX. The efficiency of thermoelectric module was calculated by taking figure of merit and Carnot efficiency into consideration. The results indicate that the commercially available TEG used in this study, which is made of Bismuth Telluride performs efficiently at higher temperature difference and value of figure of merit is around one at maximum efficiency.
Pool boiling enhancement techniques for water at low pressure

Saturated pool boiling of water at low pressures from a heated, 12.7*12.7 mm horizontal surface was examined. Rectangular fins, fluidized particulate beds, and surface finishes were used to enhance heat transfer. Water at low pressure significantly decreases the boiling performance below that of water at atmospheric pressure. However, surface temperatures are reduced to values acceptable for cooling electronic components. All rectangular fin geometries were found to enhance heat transfer, although certain geometries were more effective. The finned surfaces extended the base area critical heat flux beyond the critical heat flux for the flat plate. Rougher surface finishes reduced wall superheat temperatures. The addition of non-wetting, TFE particles also decreased wall superheat temperatures for the isolated bubble regime. <<ETX>>
Adaptive combination of normalised filters for robust system identification

The performance of square norm adaptive filters degrades in the presence of impulsive noise. The sign algorithm overcomes this problem, at the cost of a slower convergence. Presented is an adaptive combination of two independent filters, using the absolute and quadratic error criteria, respectively, so that the resulting scheme achieves a fast convergence and remains robust to impulsive noise.
A Preliminary Study of Baseline Design Architecture Effects on Aircraft Redesign Risks

Aircraft redesign process normally does not start from scratch and requires a well-defined reference baseline design as the starting point for redesign changes. In general, the baseline design is often chosen based on the closeness of its existing performance capability to the driving requirement. This practice essentially presumes that such condition guarantees a minimum amount of required redesign changes, hence the least development risk. However, it is argued here in this study that such notion can be misleading because risk also depends on the type and the extent of the changes. Instead, it is believed that the existing baseline design architecture is an important element that will influence its suitability for the redesign task at hand. Through a sample aircraft redesign case study, the possible effects of existing design architecture on the redesign process is demonstrated and highlighted.
Big Data Driven Decision Making Model: A case of the South African banking sector

The quest to develop a Big Data Driven Decision Making framework to support the incorporation of big data analytics into the decision-making process resulted in the development of a decision making model. The study was conducted within the banking sector of South Africa, with participants from three leading South African banking institutions. The conducted research followed the design science research process of awareness, suggestion, development, evaluation and conclusion. This study developed a theoretical Big Data Driven Decision Making model which illustrates the decision-making process in banking using big data. The study further determined the organizational supports that need to be in place to support the big data analytics decision-making process.
A Pairwise Deep Ranking Model for Relative Assessment of Parkinson’s Disease Patients from Gait Signals

Continuous monitoring of the symptoms is crucial to improve the quality of life for patients with Parkinson’s Disease (PD). Thus, it is necessary to objectively assess the PD symptoms. Since manual assessment is subjective and prone to misinterpretation, computer-aided methods that use sensory measurements have recently been used to make objective PD assessment. Current methods follow an absolute assessment strategy, where the symptoms are classified into known categories or quantified with exact values. These methods are usually difficult to generalize and considered to be unreliable in practice. In this paper, we formulate the PD assessment problem as a relative assessment of one patient compared to another. For this assessment, we propose a new approach to the comparative analysis of gait signals obtained via foot-worn sensors. We introduce a novel pairwise deep-ranking model that is fed by data from a pair of patients, where the data is obtained from multiple ground reaction force sensors. The proposed model, called Ranking by Siamese Recurrent Network with Attention, takes two multivariate time-series as inputs and produces a probability of the first signal having a higher continuous attribute than the second one. Our detailed performance analysis shows that the accuracy of pairwise ranking predictions can reach up to 82% with an AUROC of 0.89 with ten-fold cross validation. The model outperforms the previous methods for PD monitoring when run in the same experimental setup. To the best of our knowledge, this is the first study that attempts to relatively assess PD patients using a pairwise ranking measure on sensory data. The model can serve as a complementary model to computer-aided prognosis tools by monitoring the progress of the patient during the applied treatment.
On Quantum-MV Algebras - Part I: The Orthomodular Algebras

We prove that almost all the properties of quantum-MV algebras are verified by orthomodular algebras, the new algebras introduced in a previous paper. We put a special insight on transitive antisymmetric orthomodular (taOM) algebras, generalizations of MV algebras. We make the connection with IMTL and NM algebras. In memoriam Dragos. Vaida (1933 – 2020)
Integrated scatterometry in high-volume manufacturing for polysilicon gate etch control

For several years, integrated scatterometry has held the promise of wafer-level process control. While integrated scatterometry on lithography systems is being used in manufacturing, production implementation on etch systems is just beginning to occur. Because gate patterning is so important to yield, gate linewidth control is viewed by many as the most critical application for integrated scatterometry on etch systems. IBM has implemented integrated scatterometry on its polysilicon gate etch systems to control gate linewidth for its 90 nm node SOI-based microprocessors in its 300 mm manufacturing facility. This paper shows the performance of the scatterometry system and the equipment-based APC system used to control the etch process. Some of the APC methodology is described, as well as sampling strategies, throughput considerations, and scatterometry models. Results reveal that the scatterometry measurements correlate well to CD-SEM measurements before and after etch, and also correlate to electrical measurements. Finally, the improvement in linewidth distribution following the implementation of feedforward and feedback control in full manufacturing is shown.
Resonance and damping in CMOS circuits with on-chip decoupling capacitance

Design of on-chip decoupling capacitance and modeling of resonance effects in the power supply network of CMOS integrated circuits is addressed. The modeling is based on mathematical limits proving that damping will be low, resulting in resonance unless careful design is used. Design strategies that reduce resonance are discussed. It is shown that an optimal parasitic resistor in series with the decoupling capacitor gives a maximum damping factor of 0.5 and practical values are within the range 0.3-0.4. Examples of digital circuits show that proper design of on-chip decoupling capacitance may reduce the number of bonding wires by an order of magnitude. The modeling and design suggestions are also applicable to mixed-mode circuits. In particular, sampled analog networks benefit with a potentially higher sampling rate if enhanced damping is introduced during design.