Miracle-dz/UniFAR-FTUs huggingface dataset:
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions

Advances in perception for self-driving cars have accelerated in recent years due to the availability of large-scale datasets, typically collected at specific locations and under nice weather conditions. Yet, to achieve the high safety requirement, these perceptual systems must operate robustly under a wide variety of weather conditions including snow and rain. In this paper, we present a new dataset to enable robust autonomous driving via a novel data collection process - data is repeatedly recorded along a 15 km route under diverse scene (urban, highway, rural, campus), weather (snow, rain, sun), time (day/night), and traffic conditions (pedestrians, cyclists and cars). The dataset includes images and point clouds from cameras and LiDAR sensors, along with high-precision GPS/INS to establish correspondence across routes. The dataset includes road and object annotations using amodal masks to capture partial occlusions and 3D bounding boxes. We demonstrate the uniqueness of this dataset by analyzing the performance of baselines in amodal segmentation of road and objects, depth estimation, and 3D object detection. The repeated routes opens new research directions in object discovery, continual learning, and anomaly detection. Link to Ithaca365: https://ithaca365.mae. cornell.edu/
Patient Zero & Patient Six: Zero-Value and Correlation Attacks on CSIDH and SIKE

Recent works have started side-channel analysis on SIKE and show the vulnerability of isogeny-based systems to zero-value attacks. In this work, we expand on such attacks by analyzing the be-havior of the zero curve E 0 and six curve E 6 in CSIDH and SIKE. We demonstrate an attack on static-key CSIDH and SIKE implementations that recovers bits of the secret key by observing via zero-value-based resp. exploiting correlation-collision-based side-channel analysis whether secret isogeny walks pass over the zero or six curve. We apply this attack to fully recover secret keys of SIKE and two state-of-the-art CSIDH-based implementations: CTIDH and SQALE. We show the feasibility of exploiting side-channel information for the proposed attacks based on simulations with various realistic noise levels. Additionally, we discuss countermeasures to prevent zero-value and correlation-collision attacks against CSIDH and SIKE in our attacker model.
Using Local Geographic Features to Predict Changes in the Los Angeles Homeless Population

Homelessness is a complex phenomenon with many factors, both societal and personal, playing a role. By combining annual homeless point-in-time estimates for Los Angeles, along with other publicly available data, we conduct a multimethod study that builds a series of models correlating the estimated homeless populations with localized features in the city. We ﬁrst establish a descriptive link between regional features on the scale of census tracts, including median rent and number of coffee shops, and the homeless population, through correlation analysis and topic modelling. Then, we make a ﬁrst step at quantitative predictions by combining our data into a shallow neural network to forecast homeless population changes. By inverting the network and looking at its structure, we identify regional features that may be signiﬁcant in determining how the homeless population changes over time; notably, in trying to select one single feature as a predictor, both the street and vehicle homeless counts are more likely to decrease over a year if they began with an above average count and census tracts with zero counts may be more likely to remain that way rather than increasing.
Regulation of Uterine Steroid Receptor Levels and Peroxidase Activity During the Puerperium of the Nonlactating Rat’

nuclear and cytosol levels of receptors for progesterone (PR) and estrogen (ER) were measured and compared with serum levels of these two hormones in the rat immediately after birth and during the first 25 days of the puerperium. Both nuclear and cytosol ER were elevated at birth, decreased extensively 24 h following parturition, then gradually increased until Day 5, post- partum. Serum estrogens were elevated at parturition, gradually decreased until Day 4, then increased again on Day 5. Nuclear PR content was low during the first 3 days postpartum before increasing to a maximum on Day 5, while cytosol PR concentration was increased at birth, then declined 1 day later before rising again by Day 5 of the puerperium. Serum progesterone was very low at birth and during the 4 days following, but started to rise on Day 5 and was significantly increased on Day 10 before declining again 15-25 days after parturition. Parturient rats were administered estrogen and progesterone in order to examine the hormonal response of the uterus during the puerperium. Estradiol on 0, and 2 and 1.9-fold and 2.5-fold 10, peroxidase increased 4.2-fold Day 3 and 45-fold 10. Morphological examination of the uterus revealed that the luminal epithelium had changed in appearance from cuboidal to tall columnar on both Days 3 and 10. Uterine uptake of eosinophils also increased significantly on Days 3 and 10 and was proportional to the increase in peroxidase activity. Uterine wet weight was also increased on both days. Immediately following birth, administration of estra- diol (100 Mg) to parturient rats resulted in translocation of the ER to the nucleus. Cytosol PR also translocated at this time after injection of 1.0 mg of progesterone. These results demonstrate that 1) uterine steroid receptor concentrations after parturition may be correlated with serum hormone levels, 2) the uterus is able to respond to estrogen administration during the periparturient period as shown by increases in uterine wet weight, cytosol progesterone receptor, peroxidase activity and degree of eosinophil infiltration, and 3) the increase in uterine peroxidase activity after 3 days of estrogen treatment is derived from eosinophil infiltration as well as the estrogen-induced enzyme present in the epithelium. 4 days during
Unraveling the Mystery of Artifacts in Machine Generated Text

As neural Text Generation Models (TGM) have become more and more capable of generating text indistinguishable from human-written ones, the misuse of text generation technologies can have serious ramifications. Although a neural classifier often achieves high detection accuracy, the reason for it is not well studied. Most previous work revolves around studying the impact of model structure and the decoding strategy on ease of detection, but little work has been done to analyze the forms of artifacts left by the TGM. We propose to systematically study the forms and scopes of artifacts by corrupting texts, replacing them with linguistic or statistical features, and applying the interpretable method of Integrated Gradients. Comprehensive experiments show artifacts a) primarily relate to token co-occurrence, b) feature more heavily at the head of vocabulary, c) appear more in content word than stopwords, d) are sometimes detrimental in the form of number of token occurrences, e) are less likely to exist in high-level semantics or syntaxes, f) manifest in low concreteness values for higher-order n-grams.
СЕРДЕЧНО-СОСУДИСТЫЕ ОСЛОЖНЕНИЯ ПОСЛЕ ПРОТИВООПУХОЛЕВОЙ ТЕРАПИИ У ОНКОЛОГИЧЕСКИХ БОЛЬНЫХ В ОТДАЛЕННЫЕ СРОКИ (>1 ГОДА)

Oncological and cardiovascular diseases (CVD) hold a leading position among the causes of mortality in many countries of the world, including the Russian Federation [1]. In recent years, a decrease in mortality due to oncologic diseases (OD) is noted around the world thanks to early diagnostics, as well as to the development and implementation of new technologies and therapeutic treatment strategies (chemotherapy, targeted and radiation therapy). Among patients with OD who received chemotherapy and radiation therapy, CVD is one of the leading causes of poor prognosis, including lethal outcomes [2-5]. The long-term cardiotoxic effects of antitumor therapy (chemotherapy, radiation therapy) reduce the survival rate and quality of life of patients who suffer from cancer. Thus, early diagnostics and timely detection of the cardiotoxic effects that follow antitumor treatment is one of the main tasks of cardio-oncology.
ONLINE APPENDIX “Monopsony in the U.S. Labor Market”

In the following, we provide some external validity on our markdown measures by correlating them with measures of unionization. The ASM and CM unfortunately do not contain measures of unionization at the plant level. Instead, we leverage the Current Population Survey (CPS), which since 1984 has asked about unionization and collective bargaining status in outgoing rotation months, to construct measures of unionization at the 3-digit NAICS-state-year level. To do so, we convert the Census industry codes for manufacturing in the CPS to 21 consistent, 3-digit, 2012-vintage NAICS codes using crosswalks provided by IPUMS.1 We then run a logit regression of union coverage (member or covered by a union) on a vector of state indicators, NAICS3 indicators, and year indicators. After collapsing the data to 3-digit NAICS–state–year cells, we fit values of union coverage based on the estimated logit coefficients. This simulated instrument adjusts for small cells (including missings) and mitigates endogeneity, although it still contains measurement error.
Granular Sound Spatialization Using Dictionary-Based Methods

—We present methods for spatializing sound using representations created by dictionary-based methods (DBMs). DBMs have been explored primarily in applications for signal processing and communications, but they can also be viewed as the analytical counterpart to granular synthesis. A DBM determines how to synthesize a given sound from any collection of grains, called atoms , speciﬁed in a dictionary . Such a granular representation can then be used to perform spatialization of sound in complex ways. To facilitate experimentation with this technique, we have created an application for providing real-time synthesis, visualization, and control using representations found via DBMs. After providing a brief overview of DBMs, we present algorithms for spatializing granular representations, as well as our application program Scatter , and discuss future work.
Painting Algorithms

This document presents new approaches for painting algorithms based on optimization methods and learning models. My thesis focuses on artistic stylization of images under a stroke-based painting framework. That is, given an image, an algorithm generates a set of strokes that results in a painting. The two main problems that this thesis will address are finding the right combination of strokes for a particular artistic style and, by extension, how such combination follows a painting strategy that leads to certain styles. The former is not fully resolved under a stroke-based painting framework, as there exists a trade-off between reconstructions of the input image and a controllable stylistic variation. Existing works that address style are still limited in style variations and controllability and principally use different stroke models and textures to output styles. The latter task is unresolved and challenging. State-of-the-art algorithms normally output strokes in an uncontrollable manner without a planned strategy that might help stylization. However, human artists employ painting techniques such as “blocking in”, grouping by semantics or colors, “background-foreground” or “color-then-contours” that help them convey artistic styles. My thesis will aim to disentangle such a complex landscape of painting styles and strategies, and will try to leverage some artistic vision under some perception of art. Finally, my thesis will dissect existing common artistic styles with the use of deep nets which might find their underlying patterns and inform painting models. Ultimately, my thesis will shed some light as to whether painting algorithms can be creative or not, under a definition of creativity, and whether it is possible to model a notion of self-awareness in the painting process.
SILVER BINDING NUCLEOLAR ORGANISER REGIONS (AGNOR) VALUE IN SQUAMOUS CELL CARCINOMAS

Background: Study of Silver-binding nucleolar organizing regions (AgNORs) in 100 cases of squamous cell carcinomas (SCC) of upper Aero-digestive tract was carried out with an aim of correlating AgNOR positivity with histological grade of tumour and evaluating value of AgNOR staining in predicting the progress of disease. Method: Tissue sections of the cases were stained with 50 percent silver nitrate solution for AgNOR evaluation and the data analysed. All the sections were also stained with haematoxylin and eosin stain for tumour typing and grading. Result: In this study, the mean AgNOR (mAgNOR) score of normal squamous epithelium (100 cases) was 1.56 (range1.00-2.80), that of well differentiated squamous carcinoma (54 cases) was 3.29 (range 2.4-4.6), moderately differentiated squamous carcinoma (42 cases) was 4.29 (range 2.7-5.6) and of poorly differentiated squamous cell carcinoma (4 cases) was 5.21. The mAgNOR scores were statistically significant. Comparison of the percentage AgNOR (pAgNOR) scores between well differentiated and moderately differentiated carcinomas showed that all the pAgNOR values (1-9) were significant. However, pAgNOR 3 and pAgNOR 4 were most significant. Cut off values for pAgNOR score to differentiate between the various grades of squamous cell carcinomas could not be calculated due to lack of data on survival rates. Conclusion: AgNOR technique can definitely be used as a supportive tool to routinely performed Hemotoxylin and Eosin staining and may help in prognosis as well as therapeutic decision-making in squamous cell carcinomas. Studies of larger number of cases in a prospective study are needed to arrive at more substantial conclusions.
Carbonate Production by Calcareous Algae in a Seagrass-Dominated System: The Example of Chwaka Bay

Chwaka Bay is well protected from the open ocean by fringing Coral Reefs, forming a secluded bay with vast shallow sand flats and a tidal range of over 3 m. This is an ideal setting for seagrasses, and over half of the Bay’s ca. 50 km2 is indeed covered by extensive seagrass meadows (see chap. 5). Within these meadows, seagrasses are found mixed with large populations of macroalgae, and in particular calcareous green algae of the genus Halimeda. Overall, the seagrass cover within meadows consist of 54% seagrasses and 35% Halimeda species, and the remainder (11%) of the photosynthetic organisms are other macroalgae (Gullström et al. 2006) as well as zooxanthellae-containing coral heads and other invertebrates. Both the seagrasses and calcareous algae like Halimeda are important contributors to the coastal habitats of the Bay; Halimeda species contribute 60% of the calcareous sediment (Muzuka et al. 2001). This emphasises the important role of Halimeda, which thrive together with the seagrasses, as major producers of carbonate sand in Chwaka Bay, as well as the whole east coast of Unguja Island (Shagude et al. 2001). While the contributions by seagrasses per se are covered in chapter 5, the importance of the calcareous algae will be discussed here.
Analysing Socio-Demographic Differences in Shopper’s Experiential Values: Illustration of Servicescape in Malaysia Department Store

How servicescape influence on demographic differences in consumers’ experiential values are not extensively examined by researchers in context of department stores. The purpose of this study is to examine is there any significance on demographic differences in shoppers’ experiential values towards servicescape of department stores. 558 usable questionnaires were obtained across 5 regions in Malaysia and the analysis proceeded with both descriptive analysis and inferential analysis to test the model that was developed. The results indicate that shoppers’ age and income are really having a significant difference on how they experience the store environment. Mean-while higher incomes group greater than RM9000 has a significant difference in their experience with group income of RM3001-RM5000. Group income greater than RM9000 has a different experience and perception on servicescape compared to other income groups. It indicates that the higher the incomes, the more reactive and concern to environmental contrast than those who have lower incomes. This finding will assist retailers to apprehend the effects of customers’ experiential values harmonised with the demographic characteristics affecting the servicescape offering. This could directly improve servicescape development strategies to produce unique in-store environment to boost shopping experiences and consequently leads to more satisfied shoppers especially in Malaysia.
An α -stable limit theorem under sublinear expectation

For α ∈ ( 1 , 2 ) , we present a generalized central limit theorem for α -stable random variables under sublinear expectation. The foundation of our proof is an interior regularity estimate for partial integro-differential equations (PIDEs). A classical generalized central limit theorem is recovered as a special case, provided a mild but natural additional condition holds. Our approach contrasts with previous arguments for the result in the linear setting which have typically relied upon tools that are non-existent in the sublinear framework, for example, characteristic functions.
Alternative/complementary therapies in public and private education: a knowledge analysis among nursing students

This study aimed to analyze undergraduate Nursing students' knowledge in two education institutions, one public and one private, about alternative/complementary therapies, since both institutions offer a specific subject in this area under the optional and obligatory form, respectively. Data suggest that, apart from academic education, knowledge about this theme originates from common sense. The students recommend the use of alternative/complementary therapies although they do not use them much. Flower therapy, acupuncture, homeopathy, cromotherapy, fitotherapy, music therapy and massage are more utilized. The most neglected aspect in the teaching-learning process refers to the legal aspects of specialization in this area for the nurse.
Macrophage Responses Migration Inhibitory Factor Modulates Host Ortholog of Macrophage Leishmania A

Parasitic organisms have evolved specialized strategies to evade immune defense mechanisms. We describe herein an ortholog of the cytokine, macrophage migration inhibitory factor (MIF), which is produced by the obligate intracellular parasite, Leishmania major . The Leishmania MIF protein, Lm1740MIF, shows signiﬁcant structural homology with human MIF as revealed by a high-resolution x-ray crystal structure (1.03 Å). Differences between the two proteins in the N-terminal tautomerization site are evident, and we provide evidence for the selective, species-speciﬁc inhibition of MIF by small-molecule antagonists that target this site. Lm1740MIF shows signiﬁcant binding interaction with the MIF receptor, CD74 ( K d (cid:1) 2.9 (cid:2) 10 (cid:3) 8 M). Like its mammalian counterpart, Lm1740MIF induces ERK1/2 MAP kinase activation in a CD74-dependent manner and inhibits the activation-induced apoptosis of macrophages. The ability of Lm1740MIF to inhibit apoptosis may facilitate the persistence of Leishmania within the macrophage and contribute to its evasion from immune destruction. The Journal of Immunology, 2008, 180: 8250–8261. an obligate, intracellular infection of macrophages eukaryotic genus Promastigotes invade cells, transform into amastigotes,
Understanding Help Seeking for Chronic Joint Pain : Implications for Providing Supported Self-Management

Osteoarthritis-related joint pain is prevalent and potentially disabling. United Kingdom clinical guidelines suggest that patients should be supported to self-manage in primary care settings. However, the processes and mechanisms that influence patient consultation decisions for joint pain are not comprehensively understood. We recruited participants (N = 22) from an existing longitudinal survey to take part in in-depth interviews and a diary study. We found that consultation decisions and illness actions were ongoing social processes. The need for and benefits of consulting were weighed against the value of consuming the time of a professional who was considered an expert. We suggest that how general practitioners manage consultations influences patient actions and is part of a broader process of defining the utility and moral worth of consulting. Recognizing these factors will improve self-management support and consultation outcomes.
Autoimmune Encephalomyelitis the Suppression of Experimental and Important Role in Intravenous Tolerance Dendritic Cells Play an + CD11b+ CD11c

The central role of T cells in the induction of immunological tolerance against i.v. Ags has been well documented. However, the role of dendritic cells (DCs), the most potent APCs, in this process is not clear. In the present study, we addressed this issue by examining the involvement of two different DC subsets, CD11c (cid:1) CD11b (cid:1) and CD11c (cid:1) CD8 (cid:1) DCs, in the induction of i.v. tolerance. We found that mice injected i.v. with an autoantigen peptide of myelin oligodendrocyte glycoprotein (MOG) developed less severe experimental autoimmune encephalomyelitis (EAE) following immunization with MOG peptide but presented with more CD11c (cid:1) CD11b (cid:1) DCs in the CNS and spleen. Upon coculturing with T cells or LPS, these DCs exhibited immunoregulatory characteristics, including increased production of IL-10 and TGF- (cid:2) but reduced IL-12 and NO; they were also capable of inhibiting the proliferation of MOG-speciﬁc T cells and enhancing the generation of Th2 cells and CD4 (cid:1) CD25 (cid:1) Foxp3 (cid:1) regulatory T cells. Furthermore, these DCs signiﬁcantly suppressed ongoing EAE upon adoptive transfer. These results indicate that CD11c (cid:1) CD11b (cid:1) DCs, which are abundant in the CNS of tolerized animals, play a crucial role in i.v. tolerance and EAE and may be a candidate cell population for immunotherapy of autoimmune diseases. The Journal of Immunology, 2008, 181:
(2017). A higher-dimensional Siegel-Walfisz theorem. Acta Arithmetica , 179 (1), 79-100.

The Green-Tao-Ziegler theorem provides asymptotics for the number of prime tuples of the form ( ψ 1 ( n ) , . , ψ t ( n )) when n ranges among the integer vectors of a convex body K ⊂ [ − N, N ] d and Ψ = ( ψ 1 , . . . , ψ t ) is a system of aﬃne-linear forms whose linear coeﬃcients remain bounded (in terms of N ). In the t = 1 case, the Siegel-Walﬁsz theorem shows that the asymptotic still holds when the coeﬃcients vary like a power of log N . We prove a higher-dimensional (i.e. t > 1) version of this fact. We provide natural examples where our theorem goes beyond the one of Green and Tao, such as the count of arithmetic of progressions of step (cid:98) log N (cid:99) times a prime in the primes up to N . We also apply our theorem to the determination of asymptotics for the number of linear patterns in a dense subset of the primes, namely the primes p for which p − 1 is squarefree. To the best of our knowledge, this is the ﬁrst such result in dense subsets of primes save for congruence classes.