Miracle-dz/UniFAR-FTUs huggingface dataset:
“Micro‐cultures” of conflict: Couple‐level perspectives on reasons for and causes of intimate partner violence in young adulthood

Abstract Objective To highlight the development of young adult couples' shared understandings about reasons for conflict in their relationships, views about why some disagreements included the use of aggression (“causes”), and gendered perspectives on these relationship dynamics. Background Feminist theories have centered on relationship dynamics associated with intimate partner violence (IPV), but have focused primarily on men's concerns (e.g., jealousy) and use of violence as a means of control over female partners. The current analysis drew on symbolic interaction theory as a framework for exploring couple‐level concerns, and ways in which dyadic communication contributes to these understandings, or what can be considered “micro‐cultures” of conflict. Method The study relied on in‐depth interviews with a heterogeneous sample of IPV‐experienced young adults who had participated in a larger longitudinal study (Toledo Adolescent Relationships Study [TARS]) and separate interviews with their partners (n = 90). Results Analyses revealed that women's concerns about men's actions (e.g., infidelity) were frequently cited as reasons for serious conflicts, and showed significant concordance in partners' reports. Shared understandings sometimes extended to views on the role of more distal causes (e.g., family background) and the meaning(s) of each partner's use of aggression. Gendered dynamics included men's tendency to minimize women's concerns, and both partners' more open discussions of women's perpetration. Conclusions Theories of IPV and associated programmatic efforts should include attention to the social construction of these “micro‐cultures,” as these shared meanings affect behavior, are potentially malleable, and add to the more intuitive focus on one‐sided forces of control and constraint.
Dynamics of two distinct subseasonal growth of the North Pacific Oscillation

This study investigates the growth mechanism of the North Pacific Oscillation (NPO), one of the primary causes of winter temperature extremes at midlatitudes. We find that the NPO has two distinct origins: one is the Rossby wave propagating across Eurasia that strengthens during cold/warm surges over East Asia. The corresponding vorticity and thermal anomalies grow into the NPO as they move eastward. The other is a local disturbance at the Asian Pacific jet stream exit that amplifies when propagating westward. The dynamical processes behind these two types of NPO growth are investigated by conducting quasi-geostrophic geopotential tendency budget analysis, focusing on the relative importance of the vorticity flux and differential heat flux. It is revealed that the contribution of high-frequency eddies is greater in the NPO that grows from a local disturbance. However, NPO growths in both cases are primarily steered by low-frequency vorticity flux, which facilitates eastward or westward propagation through relative or planetary vorticity advections, respectively. Differential heat flux promotes the growth of the NPO before the onset, but dissipates the NPO anomalies afterward. The net effect of the heat flux, however, allows the NPO to amplify and persist through baroclinic instability by constraining the NPO anomalies to have westward vertical tilt. Accordingly, the NPO grows conforming to the dissipative destabilizing mechanism. From the perspective of potential vorticity (PV), the eastward growth of the NPO originates from the downstream advection of PV anomalies accumulated over East Asia, while westward growth is favored by a strong PV gradient near the jet stream.
Comparison of Pelvic Rotation Angle and Electromyography Activity of the Trunk and Gluteus Maximus Muscles during Four Pilates Exercises

The Pilates method has recently been recommended as the best way to improve spinal stability by strengthening the trunk and gluteus maximus (GM) muscles. Purpose In this study, we compared trunk and GM muscle activities and pelvic rotation angles during four traditional Pilates exercises. the LPF if the goal is increased and GM muscle activity and the if you for useful for while
DEEP LEARNING BASED CHALLENGE RESPONSE LIVELINESS MATCHING FOR PRESENTATION ATTACK DETECTION IN FACE RECOGNITION BIOMETRIC AUTHENTICATION SYSTEMS

Face recognition based biometric authentication systems are being widely adopted but they are vulnerable to presentation attacks. Detecting presentation attack is important to enhance the security level of face recognition biometric systems. Many presentation attack detection systems (PAD) have been proposed based on comparison of real and presentation image features. But these solutions can be deceived easily by creating the exact replica of real face. To solve this problem, this work proposes a liveliness approach which solves PAD as a challenge response problem. The response of face to a challenge is measured and analyzed to detect PAD. The challenge response matching is realized using a novel Face action unit biased convolutional neural network which selectively skips feature learning in non action unit areas. This novel deep learning model speeds up the challenge response face matching, increases the accuracy of liveliness matching and robust against environmental distortionss. based biometrics. Face recognition based biometric authentication is used in various applications like Smartphone/computer login, passport control, premises access control. In spite of various challenges in illumination and pose variations, it is still being used in biometric authentication systems. Users face presented in front of cameras are captured. Features extracted from the face are matched to features stored in database to recognize the person. Various attacks exploit the loop holes in face acquisition process like printed photographs, masks, or video displays and reduce the security level of the system. These attacks are called as presentation or spoofing attacks. These attacks must be detected and recognition process must be barred to enhance the security level.
Learning 3D Skeletal Representation from Transformer for Action Recognition

Skeleton-based human action recognition has attracted significant interest due to its simplicity and good accuracy. Diverse end-to-end trainable frameworks based on skeletal representation have been proposed so far to map the representation to human action classes better. Most skeleton-based human action recognition approaches are based on the skeletons, which are heuristically pre-defined by the commercial sensors. Nevertheless, it is not confirmed whether the sensor-captured skeletons is the best representation of human bodies for the action recognition task, while in general, the dedicated representation is required for achieving the successful performance on subsequent tasks such as action recognition. In this paper, we try to deal with the issue by explicitly learning the skeletal representation in the context of the human action recognition task. We start our investigation by reconstructing 3D meshes of the human bodies from RGB videos. Then we involve the transformer architecture to sample the most informative skeletal representation from reconstructed 3D meshes, considering the inner and inter structural relationship of 3D meshes and sensor-captured skeletons. Experimental results on challenging human action recognition benchmarks (i.e., SYSU and UTD-MHAD datasets) have shown the superiority of our skeletal representation compared to the sensor-captured skeletons for the action recognition task.
Effect of Color Temperature and Illuminance on Psychology, Physiology, and Productivity: An Experimental Study

In this study, we investigated the impact of the lighting environment on psychological perception, physiology, and productivity and then designed lighting control strategies based on the experimental results. The research was conducted in a smart lighting laboratory, and 67 subjects were tested in different illuminances and correlated color temperatures (CCTs). During the experiment, the physiological data of subjects were continuously recorded, while the psychology and productivity results were evaluated by questionnaires and working tests, respectively. The experimental results found that both illuminance and CCT could significantly influence the feeling of comfort and relaxation of the subjects. Warm CCT and higher illuminance (3000 K–590 lux) made subjects feel more comfortable. Productivity reached its maximum value with illuminance above 500 lux and equivalent melanopic lux (EML) higher than 150. The brain-wave and heart-rate changes did not have a close relationship with either illuminance or CCT, but the heart rate slightly increased in the adjustable lighting mode. Regardless of the initial value setting, the subjects preferred intermediate CCT (4200 K) and bright illumination (500 lux) after self-adjustment. Finally, we proposed three comprehensive lighting control strategies based on psychology, productivity, circadian rhythm, and energy-saving.
Exploring the Association Between Cervical Microbiota and HR-HPV Infection Based on 16S rRNA Gene and Metagenomic Sequencing

The relationship between the cervico-vaginal microbiome and high-risk human papillomavirus (HR-HPV) is well observed. However, there is a lack of adequate research regarding the cervical microbiota in HR-HPV infection. Most published research results have used 16S rRNA gene sequencing technology; this technology only focuses on marker sequences, resulting in incomplete gene information acquisition. Metagenomic sequencing technology can effectively compensate for the deficiency of 16S rRNA gene sequencing, thus improving the analysis of microbiota function. Cervical swab samples from 20 females with HR-HPV infection and 20 uninfected (Control) women were analyzed through 16S rRNA gene and metagenomic sequencing. Our results indicated that the composition and function of the cervical microbiota of HR-HPV infection differed notably from that of control women. Compared with control women, Firmicutes was decreased during HR-HPV infection, whereas Actinobacteria was increased. At the genus level, Lactobacillus was enriched in control women, while levels of Gardnerella and Bifidobacterium were lower. At the species level, Lactobacillus crispatus, L. jensenii, and L. helveticus were enriched in control women; these were the top three species with biomarker significance between the two groups. Eight pathways and four KEGG orthologies of the cervical microbiota of statistical differences were identified between the HR-HPV infection and control women. Collectively, our study described the cervical microbiota and its potential function during HR-HPV infection. Biomarkers of cervical microbiota and the changed bacterial metabolic pathways and metabolites can help clarify the pathogenic mechanism of HR-HPV infection, making them promising targets for clinical treatment and intervention for HR-HPV infection and cervical carcinoma.
EEG-based Biometric Authentication Using Machine Learning: A Comprehensive Survey

An electroencephalogram (EEG) is a measurement that reflects the overall electrical activity in the brain. EEG signals are effective for biometric authentication and robust against malware attacks and any kind of fraud activities due to the uniqueness of the signals. Significant progress in research on EEG-based authentication has been achieved in the last few years, with machine learning being extensively used for classifying EEG signals. However, to the best of our knowledge, there has been no investigation into the overall progress made in such research. In this paper, the literature on the various factors involved in state-of-the-art biometric authentication systems is reviewed. We provide a thorough comparison of different machine learning biometric authentication techniques. The comparison criteria include the research objectives, machine learning algorithms, computational complexity, source of brainwaves, feature extraction methods, number of channels, and so on. Alongside the discussion of existing works, directions for future research are suggested to improve authentication accuracy. This paper provides an in-depth discussion of different advanced biometric authentication techniques, and a vivid picture of state-of-the-art machine learning-based biometric authentication techniques using EEG.
D e te c tin g in te ra ctio n s b e tw e e n e u k a ry o tic p ro te in s in b a cte ria

Few convenient genetic assays are available to study protein-protein interactions. This report de­ scribes a genetic scheme in E. coli to detect protein-protein interactions based on the concept of cooperative DNA binding of two interacting proteins. The yeast regulatory proteins GAL4 and GAL80, which are known to interact with each other, were used to test the scheme. A fusion pro­ tein, LexA-GAL80, was found to exert a cooperative effect on the DNA-binding activity of GAL4 as monitored by a bacterial repression assay. This report describes a complementary genetic scheme in E. coli to detect protein-protein interactions based on the concept of cooperative DNA binding of two interacting pro­ teins. The yeast regulatory proteins GAL4 and GAL80 (Johnston, 1987), known to interact with each other, were used to test the genetic scheme. The DNA-binding activity of GAL4 was moni­ tored by a bacterial repression assay in which a GAL4 binding site overlapped the binding site for E. coli RNA polymerase: the binding of GAL4 repressed the bacterial promoter activity. A fusion protein, LexA-GAL80, which contains GAL80 fused to the DNA-binding protein LexA (Markham et al., 1981; Walker, 1984), was shown to enhance GAL4-mediated repression in E. coli. This bacterial genetic scheme could be used as a general method to study protein-protein interactions.
Educational Innovation through Building Adaptation

How can school and university buildings adapt to accommodate growth and significant change in educational technologies? How can new buildings be designed that will stand the test of future change? Architect and planner Alexi Marmot, Professor of Facility and Environment Management at the Bartlett Faculty of the Built Environment, University College London, looks at innovative upgrades of old educational buildings and conversion of other facilities into contemporary schools, colleges and universities fit for now and the future. She identifies general principles and useful tools that can help educators, architects and designers working in the field.
OPTH_A_369969 2011..2024

Objective: To assess the effect of peribulbar anesthesia on retinal microvasculature in primary open-angle glaucoma (POAG) patients undergoing cataract surgery using OCT Angiography. Participants: Forty-nine patients undergoing cataract surgery were divided into two groups. Group I included patients with no history of glaucoma, while group II included patients previously diagnosed as POAG with controlled IOP. Each participant received 6 mL of peribulbar anesthetic injection of 4 mL lidocaine 2% containing 150 IU hyaluronidase and 2 mL bupivacaine 0.5%. They were scanned with the OCT-A 10 minutes before and 10 minutes after injection for foveal deep (DCP), superficial (SCP) capillary plexuses density and total vessel density, foveal avascular zone (FAZ) diameter, optic disc total vessel density, and radial peripapillary capillary (RPC) network density. In addition, IOP was checked before and 10 minutes after injection. Results:Median percent change in DCP post-injection was significantly greater in group II (−43%) than in group I (−2.5%) (P < 0.001). Also, DCP total density median percent change post-injection was significantly higher in group II (−21%) than in group I (−0.9%) (P < 0.001). Foveal SCP vessel density and total vessel density median percent change post-injection were −62.6% and −16.2%, respectively, in group II and were −2.6% and −1.1%, respectively, in group I, which are statistically significant (P < 0.001). The FAZ diameter median percentage change postinjection was higher in group II (40.6%) than in group I (2.5%) (P < 0.001). Optic disc total vessel density and radial peripapillary capillary (RPC) network density post-injection median percent change were significantly higher in group II (−13.6%) and (−13.1%) respectively than in group I (−1.1%) and (−1.25%) respectively (P < 0.001). Conclusion: Peribulbar anesthesia harbors a deleterious ischemic effect on the retinal vascular tree of glaucoma patients, which could harmfully affect the vision and the visual field in those vulnerable patients.
DMSO_A_366100 1897..1909

Objective: To investigate the association between body mass index (BMI) and clinicopathologic parameters in patients with idiopathic membranous nephropathy (IMN). Methods: This study was retrospective and included patients with biopsy-proven IMN from 2018 to 2021 in Hebei General Hospital. Patients were categorized into two groups based on BMI. Clinical and histopathologic data were analyzed at the time of renal biopsy. Pathological data included immunofluorescence staining, glomerulosclerosis (GS, 0–2), mesangial cell proliferation (MCP, 0–1), tubular atrophy (TA, 0–1), interstitial fibrosis (IF, 0–1), vascular wall thickness (VWT, 0–1) and a combination score (GMTIV) graded from 0 to 5. Results: Our study revealed that the obese group had a higher prevalence of hypertension and diabetes than the overweight/normal weight group (P=0.001, P=0.002). Systolic blood pressure (P=0.005), diastolic blood pressure (P<0.001), haemoglobin (P=0.006), triglycerides (P<0.001), serum uric acid (P=0.05), 24 h urine proteinuria concentration (UP) (P=0.012), MCP (P=0.042), IF (P=0.033), and GMITV (P=0.033) score were higher in obese group compared to the other group, while the high-density lipoprotein-cholesterol (P=0.034) and immunoglobulin A deposition score (P=0.005) were lower. Factors significantly associated with UP were the ratio of lymphocyte count to white blood cell count, serum pre-albumin, immunoglobulin G, microscopic hematuria, anti-phospholipase A2 receptor (anti-PLA2R), C3 deposit on multivariable analysis (adjusted R=0.343). Binary logistic regression analysis illustrated that MCP was correlated to BMI (OR=2.528, P=0.036). Ordinal logistic regression analysis demonstrated that GMTIV was associated with BMI (OR=1.114, P=0.010) and C3 deposit (OR=1.655, P=0.001). Conclusion: High BMI was associated with MCP and GMTIV score in IMN patients. Obesity may play an essential role in mesangial lesions of IMN. This study emphasized the relation between BMI and histological parameters under the universal usage of anti-PLA2R antibodies for diagnosis and prognosis in IMN.
Privacy Threats from Seemingly Innocuous Sensors CUCS-002-20

Smartphones incorporate a plethora of diverse and powerful sensors that enhance user experience. Two such sensors are the accelerometer and gyroscope, which measure acceleration in all three spatial dimensions and rotation along the three axes of the smartphone, respectively. These sensors are often used by gaming and fitness apps. Unlike other sensors deemed to carry sensitive user data, such as GPS, camera and microphone, the accelerometer and gyroscope do not require user permission on Android to transmit data to apps. This paper presents our IRB-approved studies showing that the accelerometer and gyroscope gather sufficient data to quickly infer the user’s gender. We started with 33 in-person participants, with 88% accuracy, and followed up with 259 on-line participants to show the effectiveness of our technique. Our unobtrusive ShakyHands 1 technique draws on these sensors to deduce additional demographic attributes that might be considered sensitive information, notably pregnancy. We have implemented ShakyHands for Android as an app, available from Google Play store, and as a Javascript browser web-app for Android and iOS smartphones. We show that even a low-skilled attacker, without expertise in signal processing or deep learning, can succeed at inferring demographic information such as gender and pregnancy. Our approach does not require tampering with the victim’s device or specialized hardware; all our study participants used their own phones.
Supplementary: Unleashing Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identiﬁcation

CUHK03 [10] contains 13,164 images of 1,360 pedestrians. Each identity is observed by 2 cameras. Note that CUHK03 offers both hand-labeled and DPM-detected bounding boxes, and the former is adopted in this paper. Market1501 [22] contains 32,668 person images of 1,501 identities captured by 6 cameras. The training set consists of 12,936 images of 751 identities, the query set consists of 3,368 images, and the gallery set consists of 19,732 images of 750 identities. PersonX [14] is a large-scale data synthesis engine, which contains 1,266 manually designed identities and editable visual variables. Each identity is captured by 6 cameras. MSMT17 [18] contains of 126,441 images of 4,101 identities captured by 15 cameras. The training set consists of 30,248 person images of 1,041 identities, the query set consists of 11,659 images, and the gallery consists of 82,161 images of 3,060 identities.
Blockchain in Capital Markets: A Revolution of the Trading System in Stock Exchange

This study aims to explore the benefits of implementing blockchain technology as a basis for stock trading in Indonesia to improve the corporate governance of issuers. Two main factors that trigger the emergence of agency problems in corporate gov-ernance in traditional stock exchanges are differences in interests between principals and agents and the complexity of the investment chain. This research is a documen-tary research where the researchers search for references in the form of previous research using the keyword “blockchain” in the “publish” or “perish” application. Next, the researchers organize, make a written summary, and interpret the findings obtained based on the the researchers’ thoughtd. Based on the interpretation of pre-vious research, compared to traditional stock trading systems, blockchain technology has several advantages, such as high information transparency, improved stock liquidity, high monitoring by various parties, and the availability of information in real-time, thereby creating better corporate governance. The implementation of blockchain technology can reduce information asymmetry in the relationship between principal and agent, which in turn can improve the quality of corporate governance due to transparency, accountability, and high trust between all parties involved in this blockchain technology network.
Installed F404 Engine Noise Source Characteristics from Far-field Directivity Measurements

This paper presents an analysis of acoustic radiation characteristics of a T-7A-installed F404 engine, as derived from far-field measurements. Radiated directivity at different engine conditions is compared with contemporary investigations into Mach wave radiation. The peak directivity angles observed in the far-field are used to evaluate appropriate values for the convective Mach number. It is shown that velocity from the convective Mach number is approximately 70% of the centerline jet velocity, agreeing with contemporary supersonic jet noise literature. Spatiospectral maps from far-field data indicate the presence of spatiospectral lobes, like those observed in the near field. These spatiospectral maps also illustrate interference nulls caused by ground reflection interference. A ground reflection model is used to attempt to correct these errors. Using these corrected data, the overall sound power level is calculated and is used to find the acoustic radiation efficiency, a value rarely calculated for jet engines. The F404 OAPWL is proportional to Ue 8 subsonically, and Ue 3