Miracle-dz/UniFAR-FTUs huggingface dataset:
Planar On-Silicon Inductor Design for Electromagnetic Tracking

In this article, a planar on-silicon inductor design for electromagnetic tracking (EMT) is presented. The design process has been demonstrated for a planar sensing coil in a 65-nm on-silicon process. The designed multilayer planar inductor configuration achieves SNR of 23.6 dB and sensitivity of 202 <inline-formula> <tex-math notation="LaTeX">$\mu \text{V}$ </tex-math></inline-formula>/T/Hz. The designed inductor satisfies system requirements for clinical use in EMT applications. The current design has been verified on the Taiwan Semiconductor Manufacturing Company (TSMC) 65-nm process and exhibits a close correlation with simulation results. Measured SNR of 22.1 dB and sensitivity of 198 <inline-formula> <tex-math notation="LaTeX">$\mu \text{V}$ </tex-math></inline-formula>/T/Hz at a frequency of 20 kHz and magnetic flux density of 150 nT is achieved. An improved lumped element model to account for multilayer planar inductor designs is also proposed.
Physical activity on anxiety symptoms during the COVID-19 pandemic: a systematic review

Abstract This systematic review aimed to investigate the effect of physical activity on anxiety symptoms during the COVID-19 pandemic. Three databases (PubMed; Scopus and Web of Science) were searched in the period from 2020 to 2022 the following base terms were used: “Physical Activity”, Exercise, Anxiety and COVID-19. Peer-reviewed, primary studies published in English, Portuguese and Spanish using valid and reliable measures were included. Eighteen studies met the eligibility criteria, of which 17 were cross-sectional, 2 were cohort studies. The number of participants ranged from 43 to 2,301, aged between 18 and 65 years or older. A decrease in PA practice or an increase in sitting time were associated with higher levels of anxiety symptoms. Additionally, participants who did not meet PA recommendations were more likely to experience moderate to severe anxiety symptoms. The results showed that physical activity is associated with the alleviation of anxiety symptoms during confinement in the COVID-19 pandemic.
Physiological Responses of Diploid Banana Accessions to In Vitro Chilling Stress

Banana ( Musa spp . ) is a tropical fruit crop characterized by optimal growth and fruiting at average temperatures in excess of 80 °F, whereas cold stress has been established to have detrimental effects on growth, yield, and fruit quality. In this study, we accordingly sought to identify diploid banana germplasms with cold tolerance potential. Twelve in vitro growing accessions [ Musa acuminata ssp. zebrina , M. acuminata ssp. zebrina (‘Zebrina GF’), M. balbisiana, M. acuminata ssp. burmannica (‘Calcutta 4’), M. lolodensis, M. barioensis, M. coccinea, M. mannii, M. acuminata ssp. ma-lacconsis, M. acuminata (‘Meleng’), and M. velutina ] were subjected to temperature stress at 39 °F (4 °C) for 48 hours with the cold-tolerant M. itinerans serving as the positive control. Following cold treatment, we detected increases in total chlorophyll content in M. barioensis, M. mannii, and M. velutina. High levels of malondialdehyde (MDA) were recorded in the M. coccinea, ‘Calcutta 4’, M. velutina, and zebrina accessions, whereas in contrast, M. balbisiana, M. acuminata ssp. malacconsis, and M. itinerans showed negligible increases in MDA content. Furthermore, M. balbisiana and M. mannii s howed slight difference in radical scavenging capacity and levels of total phenolic compounds when subjected to control and chilling conditions. Collectively, our rapid screening results revealed that M. coccinea, ‘Calcutta 4’, zebrina , and M. velutina bananas are sensitive to cold stress. Diploid Musa cultivars, such as those assessed in this study, can be utilized for banana improvement programs using somatic fusion techniques. Screening for cold stress in the field is currently ongoing to validate the in vitro results.
Solving MAXSAT by Decoupling Optimization and Satisfaction

Max-SAT is an optimization version of SAT that can represent a wide variety of important optimization problems. We introduce a new approach for solving Max-SAT, that exploits both a SAT solver and a Mixed Integer Programming (MIP) solver in a hybrid approach. Each solver generates information used by the other solver in a series of iterations that terminates when an optimal solution is found. Empirical results indicate that a bottleneck in this process is the time required by the MIP solver, arising from the large number of times it is invoked. We present two enhancements of the basic algorithm, that address this bottleneck. First, we enrich the constraints given to the MIP solver. Second, we postpone the calls to the MIP solver by substituting non-optimal solutions for the optimal ones computed by the MIP solver, whenever possible. We present empirical results that show that the resulting solver, MaxHS, is the most robust existing solver for Max-SAT. About the Speaker: Jessica Davies is a postdoc in Tom Henzinger's group at IST Austria. She received a PhD in Computer Science from the University of Toronto in 2013. Her thesis introduced a new approach for solving the Maximum Satisfiability problem, implemented in the MaxHS solver, which is the most robust existing solver for Max-SAT. Her work on an open problem in computational social choice, in collaboration with NICTA Sydney, resulted in an Outstanding Paper award at AAAI 2011. She is the co-author of 10 conference papers and 3 journal papers. Her research interests include model counting, optimization, diagnosis, and software verification and synthesis Assist. -Prof. Dr. Martina Seidl and Prof. Dr. Armin Biere
Temporal Variations in QP−1 ${Q}_{P}^{-1}$ and QS−1 ${Q}_{S}^{-1}$ Above a Megathrust Following Episodic Slow‐Slip Events

Recent observations beneath central Japan have shown that periodic fluid drainage occurs during slow‐slip events (SSEs) based on temporal variations in QP−1 ${Q}_{P}^{-1}$ above the megathrust boundary of the subducting Philippine Sea slab. However, no previous studies have estimated associated QS−1 ${Q}_{S}^{-1}$ . A comparison of QP−1 ${Q}_{P}^{-1}$ and QS−1 ${Q}_{S}^{-1}$ can provide clues to the mechanism of seismic attenuation because of different propagation characteristics of the two waves. We estimate temporal variations in QP−1 ${Q}_{P}^{-1}$ and QS−1 ${Q}_{S}^{-1}$ via spectral analyses of waveform data from November 2009 to August 2021 period. The results indicate that both QP−1 ${Q}_{P}^{-1}$ and QS−1 ${Q}_{S}^{-1}$ exhibit temporal variations at about 1‐year periodicity and there are systematic differences between QP−1 ${Q}_{P}^{-1}$ and QS−1 ${Q}_{S}^{-1}$ that QS−1 ${Q}_{S}^{-1}$ have smaller values, less insignificant variation, and weaker correlations with SSEs. Furthermore, QP−1/QS−1 ${Q}_{P}^{-1}/{Q}_{S}^{-1}$ increases concurrent with SSEs. These differences suggest that attenuation is caused by the wave‐induced fluid flow. QP−1/QS−1 ${Q}_{P}^{-1}/{Q}_{S}^{-1}$ could be an important parameter for detecting the presence of fluid.
Synthesis Methods and Applications of Cerium Dioxide Nanoparticles: A Brief Review

: Cerium dioxide (CeO 2 ) is an oxide of the rare-earth metal cerium and is also referred to as ceric oxide, ceric dioxide, ceria, cerium oxide, and cerium oxide. CeO2 is an n-type semiconductor with a 2.9 eV band gap. It has gained more emphasis because to its great adsorption capacity, stability under radiation, and band characteristics in addition to other factors. The main reasons Cerium Oxide NPs have been used are their distinct surface chemistry, excellent durability, and biocompatibility. Wide-ranging uses for cerium oxide nanoparticles can be found in a variety of industries, including agriculture, medicine, sensors, cells, catalysis, therapies, and drug delivery. The high reactivity and distinctive properties of cerium oxide nanoparticles make them very attractive in the agriculture sector. It is essential to both ecological productivity and food production. Human cells can tolerate cerium oxide nanoparticles both in vitro and in vivo, which enables them for use in medicinal applications. The present review paper provide various brief information of synthesis methods and applications of cerium dioxide.
Design of efficient FIR filters with cyclotomic polynomial prefilters using mixed integer linear programming

The cyclotomic polynomial (CP) prefilter design problem is formulated as an optimization problem with linear objective functions by applying logarithms to the transfer function of the CP prefilter. This problem is then solved by mixed integer linear programming (MILP). Design examples demonstrate that this method leads to more efficient cascaded finite impulse response (FIR) prefilter-equalizers than existing methods.
How to Manage Metallosis: A Retrospective Cohort Analysis after Revision Hip Surgery

Background: Adverse local tissue reactions to metal debris are due to a metal-on-metal bearing complication caused by micromotions at modular interfaces that induce corrosion of the protective oxide layer. This process could lead to wear, fretting, and abrasion with the release of metal ions locally and systemically, which may cause adverse local reactions in nearby tissues. The aim of this study is to describe a series of patients with painful local adverse tissue reactions secondary to corrosion at the modular neck–body interface, to document the clinical presentation, diagnostic workup, and surgical findings of our research, and to search for a possible correlation between metallosis and infection. Methods: A retrospective study of patients with adverse local tissue reactions due to metal surface corrosion was performed. Blood samples were collected to identify erythrocyte sedimentation rate, C reactive protein, and procalcitonin, and a magnetic resonance imaging protocol was performed. Results: Serum cobalt and chromium levels of the 43 patients tested were significantly higher on average. However, both erythrocyte sedimentation rate and C-reactive protein were significantly elevated. Magnetic resonance imaging showed adverse reactions to metal debris with large soft tissue masses and surrounding tissue damage. Conclusions: Corrosion in hip prosthesis can lead to the release of metal ions and debris locally and systemically, resulting in local soft tissue changes. A “tumor-like” debridement can reduce this complication.
Association of self-efficacy and mental toughness with sport performance in Brazilian futsal athletes

Introduction Self-efficacy is considered a component of mental toughness, but there are few studies investigating the relationship of sport self-efficacy with mental toughness in performance athletes, especially in team sports. Objective The objective was to examine the impact of sport self-efficacy mediated by mental toughness on the sport performance of Brazilian futsal athletes. Methods The sample was composed of five adult male teams participating in the National Futsal League 2020, totaling 77 athletes. As instruments, we used: athlete identification sheet, Perceived Self-Efficacy Scale in Sports (PSES), Mental Toughness Index (MTI) questionnaire and the performance data from the National Futsal League 2020 (NFL). The data were analyzed using the Kolmogorov–Smirnov test, Mann–Whitney “U” test, Spearman’s correlation, network analysis (LASSO), with the indicators of centrality: strength, proximity and degree of intermediation (p < 0.05). Results The results showed that the investigated sample presented high levels of Perceived Self-Efficacy Scale in Sports (PSES) (Md = 4.66) and mental toughness (MT) (Md = 6.44). PSES presented a positive relationship with the number of wins, and negative relationships with the number of red cards and wrong passes (r = −0.08). MT indirectly influenced these variables through its connection with PSES (r = 0.30). The best ranked teams presented higher amounts of goals for, fouls, shots on goal, tackles, assists, and wins. The time of practice revealed an inverse relationship with the number of defeats, while age was positively related to the number of wrong passes (r = 0.09). The centrality indicators showed that the number of games stood out as the most central variable in the network, due to its degree of strength, proximity and intermediation. Moreover, the high degree of proximity and intermediation of the tackles made presented a connection with the number of assists (γ = 0.25; n = 77). Conclusion We can conclude that sport self-efficacy and mental toughness are intervening factors in the sport performance of Brazilian futsal athletes.
UNDERSTANDING THE IMPACTS OF FINANCIAL TECHNOLOGY IN THE SOCIETY 5.0 ERA

Financial Technology (FinTech) aims to achieve a competitive market advantage based on technology (digitalization). This study focuses on figuring out the effects of financial technology in the era of Society 5.0, in which humans can create new values from existing technological transformations to reduce social and economic inequalities in society in the future. This research used a systematic literature review method of 68 articles screened from the Scopus database. Fifty-five impacts of FinTech in the Society 5.0 which can help organizations understand the importance of using fintech are found in this study. The research only focuses on one database. Whereas the aims only focus on the impact of fintech, thus subsequent researchers can continue and develop the same topic using other databases (for example, ScienceDirect) and try to figure out other topics related to fintech (for example, causal factors consequence). Keywords: Financial Technology, Finance, Society 5.0
Development of a travel recommendation algorithm based on multi-modal and multi-vector data mining

Given the rise of the tourism industry, there is an increasing urgency among tourists to access information about various tourist attractions. To address this challenge, innovative solutions have emerged, utilizing recommendation algorithms to offer customers personalized product recommendations. Nonetheless, existing recommendation algorithms predominantly rely on textual data, which is insufficient to harness the full potential of online tourism data. The most valuable tourism information is often found in the multi-modal data on social media, characterized by its voluminous and content-rich nature. Against this backdrop, our article posits a groundbreaking travel recommendation algorithm that leverages multi-modal data mining techniques. The proposed algorithm uses a travel recommendation platform, designed using multi-vector word sense segmentation and multi-modal data fusion, to improve the recommendation performance by introducing topic words. In our final experimental comparison, we verify the recommendation performance of the proposed algorithm on the real data set of TripAdvisor. Our proposed algorithm has the best degree of confusion with various topics. With a LOP of 20, the Precision and MAP values reach 0.0026 and 0.0089, respectively. It has the potential to better serve the tourism industry in terms of tourist destination recommendations. It can effectively mine the multi-modal data of the tourism industry to generate more excellent economic and social value.
Development of a video camera-type kayak motion capture system to measure water kayaking

Background In kayaking, trunk motion is one of the important factors that prevent injury and improve performance. Kinematic studies in kayaking have been reported in laboratory settings using paddling simulators and ergometers. However, such studies do not reflect kayaking on water, the actual competitive environment. Therefore, we developed a video camera-type kayak motion capture system (KMCS) wherein action cameras were fixed to a kayak to capture images of markers attached to an athlete’s body. This study aimed to compare the kinematic data between KMCS and an optical motion capture system (OMCS) in kayaking and to determine the accuracy of the KMCS analysis. Methods In a competition, five elite junior female kayak athletes performed kayak paddling under the unloaded condition using a kayak. The kayak was secured using a tri-folding bench and a towel, and twenty strokes were recorded during maximal paddling. One stroke was defined as the period from right catch to left catch, and the first six strokes were used to evaluate the accuracy. Trunk angles (tilting, turning, and rotation) were examined with the simultaneous use of KMCS and OMCS, and the differences between these systems were evaluated. To ensure reliability, intraclass correlation coefficient (ICC; a two-way mixed model for absolute agreement) was calculated for each angle. Furthermore, Bland–Altman analysis was performed to understand the agreement between the two systems. Results Root mean square errors (RMSEs) were 1.42° and 3.94° for turning and rotation, respectively, and mean absolute errors (MAEs) were 1.08° and 3.00° for turning and rotation, respectively. The RMSE and MAE for tilting were 2.43° and 1.76°, respectively, which indicated that the validity was comparable to that of other angles. However, the range of motion in tilting was lower than that in turning and rotation. Bland–Altman analysis showed good agreement in the total range of motion, with mean bias values of −0.84°, −0.07°, and −0.41° for tilting, turning, and rotation, respectively. The ICCs for tilting, turning, and rotation were 0.966, 0.985, and 0.973, respectively, and showed excellent reliability. Conclusions The newly developed KMCS effectively measured the trunk motion with good accuracy in kayaking. In future studies, we intend to use KMCS to measure kayaking on water and collect data for performance improvement and injury prevention.
Motion analysis of squash backhand drop shot – A kinematic analysis study

A hand-held sport characterises racket sports including squash, badminton, tennis, and table tennis. This study discusses squash and kinematics involved. There are varies shots can be played in squash including rail shot, boast shot, and backhand drop shot. Unlike other shots, the backhand drop shot requires control over the racket, control in swing speed and hitting angle, control in angular displacement of elbow, trunk and shoulder joints. With author’s knowledge, there were not much research studies on squash kinematics. This study considered squash backhand drop shot and performed the kinematic analysis. Subjects (squash players) in the twenties participated, who had no injuries in the last six months. The players were separated into expert and novice groups. The kinematic analysis was performed through a 3D motion analysis system when the players are performing backhand drop shot. The results compare the displacement and velocities of trunk and racket, and the angular displacements and velocities of elbow and shoulder joints between the groups. Statistical analysis was performed using SPSS 20.0. The lap time required by the expert group was longer than that of the novice group. The expert group was used significantly (p<0.001) lower racket speed than that of the other group. Also, the expert group was maintained significantly (p<0.001) more extended elbow joint angle after the shot. Similarly, the expert group only used elbow extension just before the shot. However, the novice group played with the pre-extended elbow joint. These results conclude that the racket should move fast during the down-swing period and move slowly during the follow-through period, and the shoulder joint should extend before the elbow joint extension for the efficient backhand drop shot in squash game.
Computational light transport using space, time, and polarization

Understanding how light travels through macroscopic scenes can transform autonomous driving, medical imaging and consumer photography. Unfortunately, this understanding is difficult to achieve: trillions of light paths are measured by millions of pixels. The framework of computational light transport was introduced to model this complex interaction between light and matter in a tractable space. In this thesis, we study new methods to invoke space, time, and polarization into a computational light transport framework. First, we study how probing the time dimension enables cameras to separate bounces from multiple light paths. Our solutions are inspired by prior work on multipath in wireless and telecommunications. We then invoke both time and space to provide the first provable bound on resolution for seeing around corners or through scattering media. Finally, we jointly invoke space, time, and polarization to propose an ultra-high quality form of 3D imaging. This thesis contributes a few analytical theories, including: (1) provable bounds on multipath separation; (2) provable bounds on seeing around corners; and (3) proof of shape reconstruction from polarimetric measurements. The thesis also contributes new applications that span: (a) micron-scale 3D cameras; (b) real-time object tracking around corners; and (c) single-shot computational relighting of images. Future applications encompass equipping self-driving cars the ability to see through fog, or enabling doctors to see deeper inside the body using light. Thesis Supervisor: Ramesh Raskar Title: Associate Professor Program in Media Arts and Sciences
Effectiveness of eight or more antenatal contacts on health facility delivery and early postnatal care in low- and middle-income countries: a propensity score matching

Background Despite progress in reducing maternal and child mortality, many low- and middle-income countries (LMICs) still experience an unacceptably high level of the problem. The World Health Organization (WHO) recently recommended pregnant women should have at least eight antenatal care visits (ANC8+) with a trained healthcare provider as a key strategy to promote pregnant women's health. Antenatal care is an imperative factor for subsequent maternal healthcare utilization such as health facility delivery and early postnatal care (EPNC). This study aimed to examine the net impact of ANC8+ visits on health facility delivery and EPNC in LMICs using a propensity score matching analysis. Methods We used the recent Demographic and Health Survey (DHS) datasets from 19 LMICs. Women of reproductive age (15–49 years) who had given birth within 1 year preceding the survey were included. A propensity score matching analysis was employed to assess the net impact of eight or more antenatal care visits on health facility delivery and early postnatal care. Result After matching the covariates, women who attended ANC8+ visits had a 14% (ATT = 0.14) higher chance of having their delivery at health facilities compared with women who attended less than eight ANC visits. This study further revealed that women who had ANC8+ visits were associated with a 10% (ATT = 0.10) higher probability of early PNC compared with their counterparts. Conclusion and recommendation This study confirmed that ANC8+ visits significantly increased the likelihood of health facility-based delivery and early PNC utilization in LMICs. These findings call for public health programs to focus on pregnant women attending adequate ANC visits (according to revised WHO recommendation) as our study indicates that ANC8+ visits significantly improved the chances of subsequent care.
Resonance Interaction Due to Quantum Coherence

The interaction energy between two atoms is crucially dependent on the quantum state of the two‐atom system. In this paper, it is demonstrated that a steady resonance interaction energy between two atoms exists when the atoms are in a certain type of coherent superposition of single‐excitation states. The interaction is tree‐level classical in the sense of the Feynman diagrams. A quantity called quantum classicality is defined in the present paper, whose nonzero‐ness ensures the existence of this interaction. The dependence of the interatomic interaction on the quantum nature of the state of the two‐atom system may potentially be tested with Rydberg atoms.