Miracle-dz/UniFAR-FTUs huggingface dataset:
Distill Structural Knowledge by Weighting Samples for Visual Place Recognition Supplementary Material

This supplementary material is structured as follows. In Section 1, we explain the reasons for choosing the datasets in the main paper and present the detailed dataset configurations. In Section 2, we show some additional quantitative results and analysis on datasets, as well as results on the computation time. This section also contains several qualitative results. Section 3 provides the experimental details of methods, including detailed training settings of our method, ablation studies and the implementation of SOTA methods. Finally, Section 4 contains some additional ablation studies.
GREAT [C ii] and CO observations of the BD+40°4124 region

The BD+40 ◦ 4124 region was observed with high angular and spectral resolution with the German heterodyne instrument GREAT in CO J = 13 → 12 and [C ii] on SOFIA. These observations show that the [C ii] emission is very strong in the reflection nebula surrounding the young Herbig Ae/Be star BD+40 ◦ 4124. A strip map over the nebula shows that the [C ii] emission approximately coincides with the optical nebulosity. The strongest [C ii] emission is centered on the B2 star and a deep spectrum shows that it has faint wings, which suggests that the ionized gas is expanding. We also see faint CO J = 13 → 12 at the position of BD+40 ◦ 4124, which suggests that the star may still be surrounded by an accretion disk. We also detected [C ii] emission and strong CO J = 13 → 12 toward V 1318 Cyg. Here the [C i] emission is fainter than in BD+40 ◦ 4124 and appears to come from the outflow, since it shows red and blue wings with very little emission at the systemic velocity, where the CO emission is quite strong. It therefore appears that in the broad ISO beam the [C ii] emission was dominated by the reflection nebula surrounding BD+40 ◦ 4124, while the high J CO lines
PerFedSI: A Framework for Personalized Federated Learning with Side Information

With an ever-increasing number of smart edge devices with computation and communication constraints, Federated Learning (FL) is a promising paradigm for learning from distributed devices and their data. Typical approaches to FL aim to learn a single model that simultaneously performs well for all clients. But such an approach may be ineffective when the clients’ data distributions are heterogeneous. In these cases, we aim to learn personalized models for each client’s data yet still leverage shared information across clients. A critical avenue that may allow for such personalization is the presence of client-specific side information available to each client, such as client embeddings obtained from domain-specific knowledge, pre-trained models, or simply one-hot encodings. In this work, we propose a new FL framework for utilizing a general form of client-specific side information for personalized federated learning. We prove that incorporating side information can improve model performance for simplified multi-task linear regression and matrix completion problems. Further, we validate these results with image classification experiments on Omniglot, CIFAR-10, and CIFAR-100, revealing that proper use of side information can be beneficial for personalization.
Making the impossible possible: engaging the entire population in comprehensive workplace health promotion programs at no net cost to employers or employees.

Sec. 2705 (‘‘Prohibiting Discrimination Against Individual Participants and Beneficiaries Based on Health Status’’) of the Patient Protection and Affordable Care (PPAC) Act includes a provision that allows employers more flexibility in setting health plan premiums based on employees’ meeting health standards. This mechanism has the potential to do what seems intuitively impossible: drive participation in workplace health promotion programs to nearly 100%, and fund the full cost of a comprehensive health promotion program at no additional cost to the employers or employees as a group. This provision was developed by Safeway, not Health Promotion Advocates, but Health Promotion Advocates strongly endorsed it and generated more than 11,000 letters to members of Congress to support it. I predict that financing health promotion programs using this mechanism will become the norm among major employers in the next few years.
Dysphagia Improvement Using Acupuncture Therapy: A Systematic Review

Background: Dysphagia is a common complication in patients with stroke. Although the research on acupuncture treatment of dysphagia has stepped up, the results are still inconsistent. In this review, we intend to answer the potential of acupuncture in treating dysphagia in stroke patients and which acupuncture points are the most promising for treating dysphagia. Methods: We used PRISMA (the preferred reporting items for systematic reviews and meta-analysis) 2020 guidelines in conducting this review. A literature search was performed in four databases (PubMed, ScienceDirect, Cochrane, and Willey online library) to find eligible randomized controlled studies that assessed the effect of acupuncture in post-stroke dysphagia. The search time is from 2010 to 2022. Study quality was assessed using the critical appraisal skills program (CASP), and the risk of bias was evaluated by the RoB software, version 2 (risk-of-bias tool). The data were analyzed thematically. Results: A systematic electronic search identified 1409 publications through forward and backward searching of relevant papers. The full-text screening was conducted on 777 articles. A total of 681 articles failed to meet eligibility criteria at this stage, and only 6 articles were finally eligible for further analysis. The results showed that compared with rehabilitation, acupuncture significantly improved dysphagia in post-stroke patients. Gallbladder (GB) 20 is often used as an acupoint. In addition, the frequency and duration of treatment also contributed to a more significant increase in dysphagia improvement. Conclusion: Acupuncture could effectively improve dysphagia in post-stroke patients, and acupuncture combined with rehabilitation has a better effect.
Critical abilities required to the training of RPA MALE operators in the French Air Force.

The current study focused on the use of the Harfang in the French Air Force. This Medium Altitude Long Endurance Remotely Piloted Aircraft (MALE RPA) is integrated in air traffic and is managed by a three-specialists crew: a RPA Pilot (RPA pilot), a Tactical Coordinator (TC) and an Imagery Analyst (IA). The quality of Situational Awareness (SA) at both individual and crew level is a determining factor for safety. We considered that building an optimal SA is strongly influenced by the development of competencies during training. As the training efficiency can be improved by an adapted selection of candidates, our study aimed to define the optimal profile of each Harfang specialist in order to select the best candidates’ profile. A preliminary step was to compare the optimal profile (assessed by job analysis surveys) to the current profile of operators (assessed by psychological tests), to consider the efficiency of the training. Because candidates have not yet developed specific competencies, we made a comparison of profiles in terms of abilities. We identified cognitive and socio-emotional critical abilities which are required to the development of each Harfang specialist competencies. We adapted and applied the Fleishman Job Analysis Survey (F-JAS - Fleishman, Quaintance, & Broedling, 1984) to the whole population of Harfang operators (N = 30) who had to define the optimal profile of each specialist. Then we used visuospatial tests and personality inventory to assess the level of critical abilities identified with the F-JAS. Results showed global consensual optimal profiles for each Harfang specialist. This means that the population of operators identified the same critical abilities needed to become a competent operator. Results to visuospatial tests confirmed that operators required the critical abilities identified by the F-JAS. But, we observed some interindividual variability which may have an influence on the efficiency of training.
A new active gate driver for MOSFET to suppress turn-off spike and oscillation

MOSFETs are widely used in power electronics converters. Due to the high di/dt and dv/dt of the MOSFET and parasitic parameters in the circuit, drain voltage spikes and oscillations will be generated during turn-off, which can affect the safety of the device and degrade the system's electromagnetic compatibility. This paper first studies the relationship between drain voltage spike and gate voltage during turn-off. Based on the effect of gate voltage on drain voltage spike, a new active gate driver that optimizes gate voltage is proposed. The proposed active gate driver detects the slope of the drain voltage and generates a positive pulse in the drain current fall phase to increase the gate voltage, thereby suppressing drain voltage spike and oscillation. In order to verify the effectiveness of the proposed active gate driver, a simulation circuit and an experimental platform are constructed and compared with the conventional gate driver. Simulation and experimental results show that the new active gate driver can effectively suppress the drain voltage spike and oscillation of MOSFETs, and can effectively reduce high-frequency EMI.
ExtaviJect 30g device for subcutaneous self-injection of interferon beta-1b for multiple sclerosis: a prospective European study

Background: The ExtaviJect ® 30G autoinjector was developed to facilitate parenteral self-administration of interferon beta-1b (Extavia ® ), a first-line disease-modifying therapy in patients with multiple sclerosis. Our aim was to assess patient compliance with treatment when using the autoinjector, patients’ and nurses’ experiences of using the device, its tolerability, and patient satisfaction. Methods: This was a 12-week, real-world, prospective, observational, noninterventional study conducted in nine European countries. Questionnaires were used to measure patient compliance and to assess patients’ and nurses’ experiences. All adverse events were recorded by severity, including injection site reactions or pain. Patient satisfaction and health-related quality of life were assessed using the Treatment Satisfaction Questionnaire for Medication-9 (TSQM-9) and EuroQol-5 Dimension (EQ-5D) instruments, respectively. Results: Of 582 patients enrolled, 568 (98%) received at least one injection and attended the first follow-up visit at 6 weeks, and 542 (93%) attended the second follow-up visit at 12 weeks. For the whole study, 548 of 568 (97%) patients were compliant with treatment. Among the various questions assessing whether the device was easy and quick to use accurately, without fear of the needle, 56%–98% of patients and 59%–98% of nurses were in agreement. There were nine serious adverse events (four disease-related) reported among the 227 (39%) patients reporting adverse events. Scores increased in the TSQM-9 convenience domain between weeks 6 and 12 ( P = 0.0009), and in the EQ-5D visual analog scale between baseline and week 12 ( P , 0.0001), indicating improvement in health-related quality of life. Conclusion: ExtaviJect 30G was convenient to use and was associated with high levels of compliance.
Short history of the Phytography of Malaysian vascular plants

For various reasons the space occupied by pre-Linnean Malaysian phytography in this concise history seems too large and out of proportion in comparison to the survey of post-Linnean work. Modern plant description, though based on, and derived from, ancient beginnings and traditions, maintains but slender contacts with plant sciences earlier than the 18th century and it might claim to be allotted by far the larger space on account of its superior results, its greatly increased efficiency, its Consciousness of limitations and capabilities, its output, and its clearness of purpose. There exists, however, during the last decade, an increasing interest in the nearly forgotten botany of centuries long past, not only because of a certain taste for the quaint and attractive flavour of scientific efforts from minds so remote from our own, but also on account of a growing insight into the hidden springs of modern thought and method, which flow deeply, emerge unexpectedly, and appear to rise from distant roots. There is also, in connexion with this, the absorbing spectacle of discovery and of growth i.e. the development of a field of human culture that has bound devoted and excellent personalities in its service from the first glimmerings of our civilization.
The Electrical Properties of Disordered Metals

1. Introduction 2. Production and structure of metallic glasses 3. Electron transport in metals: introduction to conventional theory 4. Scattering 5. Simple liquid metals: Ziman theory 6. Phonons in disordered systems 7. Interactions and quasi-particles 8. Transition metals and alloys 9. The Hall coefficient of metallic glasses 10. Magnetoresistance 11. Electrical conductivity of metallic glasses: weak localisation 12. Interaction effect or Coulomb anomaly: density of states 13. The effect of the enhanced interaction effect on conductivity 14. The effect of a magnetic field on the enhanced interaction effect 15. The thermopower of disordered metals and alloys 16. Comparison of theory and experiment Appendices.
Option-implied information: What’s the vol surface got to do with it?

We find that option-implied information such as forward-looking variance, skewness and the variance risk premium are sensitive to the way the volatility surface is constructed. For some state-of-the-art volatility surfaces, the differences are economically surprisingly large and lead to systematic biases, especially for out-of-the-money put options. Estimates for risk-neutral variance differ across volatility surfaces by more than 10% on average, leading to variance risk premium estimates that differ by 60% on average. The variations are even larger for risk-neutral skewness. To overcome this problem, we propose a volatility surface that is built with a one-dimensional kernel regression. We assess its statistical accuracy relative to existing state-of-the-art parametric, semi- and non-parametric volatility surfaces by means of leave-one-out cross-validation, including the volatility surface of OptionMetrics. Based on 14 years of end-of-day and intraday S&P 500 and Euro Stoxx 50 option data we conclude that the proposed one-dimensional kernel regression represents option market information more accurately than existing approaches of the literature.
Buprenorphine, methadone, and morphine treatment during pregnancy: behavioral effects on the offspring in rats

: Methadone and buprenorphine are widely used for treating people with opioid dependence, including pregnant women. Prenatal exposure to opioids has devastating effects on the development of human fetuses and may induce long-term physical and neurobehavioral changes during postnatal maturation. This study aimed at comparing the behavioral outcomes of young rats prenatally exposed to buprenorphine, methadone, and morphine. Pregnant Sprague-Dawley rats were administered saline, morphine, methadone, and buprenorphine during embryonic days 3–20. The cognitive function, social interaction, anxiety-like behaviors, and locomotor activity of offsprings were examined by novel object recognition test, social interaction test, light–dark transition test, elevated plus-maze, and open-field test between 6 weeks and 10 weeks of age. Prenatal exposure to methadone and buprenorphine did not affect locomotor activity, but significantly impaired novel object recognition and social interaction in both male and female offsprings in the same manner as morphine. Although prenatal exposure to methadone or buprenorphine increased anxiety-like behaviors in the light–dark transition in both male and female offsprings, the effects were less pronounced as compared to that of morphine. Methadone affected elevated plus-maze in both sex, but buprenorphine only affected the female offsprings. These findings suggest that buprenorphine and methadone maintenance therapy for pregnant women, like morphine, produced detrimental effects on cognitive function and social behaviors, whereas the offsprings of such women might have a lower risk of developing anxiety disorders.
Constraints on the Origin of Fine Layers in Ganges Mensa and Hebes Mensa, Mars

Ganges Mensa is located near 311◦ E, 7.5◦ S, and has been studied ever since it was first resolved with the Mariner 9 spacecraft. Masursky [1] indicated that this was a finely layered deposit, and that those layers did not match the layering seen in the canyon slopes. Sharp [2] noted that the layers appeared near-horizontal. Hebes Mensa is located near 283◦ E, 1◦ S, and is within the entirely closed Hebes Chasma. Observations by the Viking spacecraft indicated that there were light and dark layers of uniform thickness within these mensae, and the similarity to other layered mesas and deposits in the Valles Marineris was noted [3]. However, Malin and Edgett [4] showed that some of the albedo patterns previously attributed to layering on Ganges Mensa were not bedrock layers, but topographic benches where dark toned aeolian material accumulated (their Fig. 26). Komatsu et al. [5] show a similar example of dark toned material collecting on a topographic bench on Hebes Mensa (their Fig. 11). Ganges and Hebes Mensae are indeed layered, but the layers are too thin to have been resolved by cameras before the Mars Orbital Camera (MOC) [4].
Complementary Attention for Multi-Agent Reinforcement Learning

In cooperative multi-agent reinforcement learning, centralized training with decentralized execution (CTDE) shows great promise for a trade-off between independent Q-learning and joint action learning. However, vanilla CTDE methods assumed a fixed number of agents could hardly adapt to real-world scenarios where dynamic team compositions typically suffer from dramatically variant partial observability. Specifically, agents with extensive sight ranges are prone to be affected by trivial environmental substrates, dubbed the “distracted attention” issue; ones with limited observation can hardly sense their teammates, degrading the cooperation quality. In this paper, we propose Complementary Attention for Multi-Agent reinforcement learning (CAMA), which applies a divide-and-conquer strategy on input entities accompanied with the complementary attention of enhancement and replenishment. Con-cretely, to tackle the distracted attention issue, highly contributed entities’ attention is enhanced by the execution-related representation extracted via action prediction with an inverse model. For better out-of-sight-range cooperation, the lowly contributed ones are compressed to brief messages with a conditional mutual information estimator. Our CAMA facilitates stable and sustainable teamwork, which is justified by the impressive results reported on the challenging Star-CraftII, MPE, and Traffic Junction benchmarks.
Walk the talk: the journey towards deconstructing the education environment as a model for anti-oppressive social and community welfare practice

As an experienced social welfare practitioner, two years spent living and working as a volunteer in Botswana forced me to reflect critically on my practice, but it was not until I returned that I recognised the pervasive power of our culture to oppress, most visibly, Indigenous Australians. That realisation has led me to focus on issues of power, racism and oppression in my social and community welfare teaching and I am endeavouring to develop a model of teaching that not only raises these issues and strategies to address them for practice but provides an educational environment that enables students to experience such a model. This paper examines the process of integrating my personal experience with my professional teaching and welfare practice and offers some ideas about how social and community welfare students might learn to be genuinely inclusive professional workers through their educational experience.
Aquatic weed classification, environmental effects and the management technologies for its effective control in Kerala, India

Abstract: Aquatic weeds, the unabated plants completing life cycle in water, are a serious menace to the environment. Dense colonies of aquatic weeds are observed in the southern regions of Kerala which mainly includes Ernakulam, Kottayam, Idukki and Alappuzha districts. The noxious aquatic weeds invade inland water masses, estuaries inshore regions of seas and are now abandoned. The rapid and excessive growth of aquatic weeds in varied and wide environmental condition limits the sustained performance of many drainage and irrigation system, reducing the productivity of agricultural land. Aquatic weeds are classified into emergent, floating and submerged weeds according to the various habitats. Many species are found in Kerala which were originally introduced into botanical gardens. The major aquatic weeds found in Kerala include Salvinia spp. , Eichhornia crassipes, Pistia stratiotes, Alternanthera spp. , Azolla, common duckweed, and Hydrilla verticillata. Reduction or elimination of aquatic weeds is possible through well planned management strategies which includes preventive and control (biological, physical, chemical, eco-physiological) measures. A successful weed control program depends on the resources available, the weeds present and the ability to carry out effective control methods. Operational research and /or pilot projects have to be initiated in the problematic areas on long term basis, using technical recommendations derived from research experiments. Keywords: aquatic weeds, classification, effects, management technology DOI: 10.3965/j.ijabe. 20120501.010 Citation: Jayan P R, Nithya Sathyanathan. Aquatic weed classification, environmental effects and the management technologies for its effective control in Kerala, India. Int J Agric & Biol Eng, 2012; 5(1): 76
Five new things

Recent reports herald important advances in our understanding and management of gliomas. A role for alkylator chemotherapy in the management of certain high-grade gliomas has been confirmed and linked to specific, clinically ascertainable molecular markers. Magnetic resonance spectroscopy can now image 2-hydroxyglutarate, an oncometabolite restricted to the three-quarters of low-intermediate grade gliomas harboring an isocitrate dehydrogenase gene mutation; this has powerful implications for diagnosis and assessment of response to therapies. Genome-wide association studies point to several SNPs conveying increased risk of glioma; further studies of the involved genes and RNA products will enhance our understanding of glioma development. Finally, high-throughput sequencing has identified novel mutations in a histone-coding gene and in genes related to the histone complex in pediatric glioblastoma.