Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS

Human culture relies on innovation: our ability to continuously explore how existing elements can be combined to create new ones. Innovation is not solitary, it relies on collective search and accumulation. Reinforcement learning (RL) approaches commonly assume that fully-connected groups are best suited for innovation. However, human laboratory and field studies have shown that hierarchical innovation is more robustly achieved by dynamic social network structures. In dynamic settings, humans oscillate between innovating individually or in small clusters, and then sharing outcomes with others. To our knowledge, the role of social network structure on innovation has not been systematically studied in RL. Here, we use a multi-level problem setting (WordCraft), with three different innovation tasks to test the hypothesis that the social network structure affects the performance of distributed RL algorithms. We systematically design networks of DQNs sharing experiences from their replay buffers in varying structures (fully-connected, small world, dynamic, ring) and introduce a set of behavioral and mnemonic metrics that extend the classical reward-focused evaluation framework of RL. Comparing the level of innovation achieved by different social network structures across different tasks shows that, first, consistent with human findings, experience sharing within a dynamic structure achieves the highest level of innovation in tasks with a deceptive nature and large search spaces. Second, experience sharing is not as helpful when there is a single clear path to innovation. Third, the metrics we propose, can help understand the success of different social network structures on different tasks, with the diversity of experiences on an individual and group level lending crucial insights.
Stable and memory-efficient image recovery using monotone operator learning (MOL)

—We introduce a monotone deep equilibrium learning framework for large-scale inverse problems in imaging. The proposed algorithm relies on forward-backward splitting, where each iteration consists of a gradient descent involving the score function and a conjugate gradient algorithm to encourage data consistency. The score function is modeled as a monotone convolutional neural network. The use of a monotone operator offers several beneﬁts, including guaranteed convergence, uniqueness of ﬁxed point, and robustness to input perturbations, similar to the use of convex priors in compressive sensing. In addition, the proposed formulation is signiﬁcantly more memory-efﬁcient than unrolled methods, which allows us to apply it to 3D problems that current unrolled algorithms cannot handle. Experiments show that the proposed scheme can offer improved performance in 3D settings while being stable in the presence of input perturbations. normalization of weights restricting representation power. and UNET with worst-case perturbations, which indicates fragility to adversarial noise. Signiﬁcant artifacts are visible in the reconstructions. By contrast, the Lipshitz-constrained MOL algorithms and DE-GRAD algorithms exhibit a lower drop in PSNR, indicating graceful deterioration in performance. The performance of all algorithms remains less affected in each case by Gaussian noise. We note that the performance of the Lipschitz-constrained algorithms is similar for Gaussian and worst-case noise with the same variance.
Enhanced L-asparaginase production by a marine-derived eurihalineAspergillus niger strain AKV MKBU – a statistical model

In this study, sequential optimization has been carried out to enhance L-Asparaginase (LA) production potential of a eurihaline marine-derived fungus Aspergillus niger strain AKVMKBU having 7.5642U/mL LA activity. A Plackett-Burman Design followed by Response Surface Methodology using Central Composite Design has led to 73.52% rise in LA activity. This study provides base line information for scaling up LA production by marine-derived fungus Aspergillus niger strain AKVMKBU.
ZINC INDUCES DIMERIZATION OF THE CLASS II MHC MOLECULE THAT LEADS TO COOPERATIVE BINDING TO A SUPERANTIGEN

LEADS TO COOPERATIVE BINDING TO A SUPERANTIGEN Hongmin Li, Yiwei Zhao, Yi Guo, Zhong Li, Leslie Eisele, Walid Mourad From the Wadsworth Center, New York State Department of Health, and Department of Biomedical Sciences, School of Public Health, University at Albany, State University of New York, 120 New Scotland Ave, Albany, NY 12208; and Université de Montréal, CHUM, Campus St-Luc, PEA, 264, Boul. René Lévesque Est, Bureau 313, Montréal, Québec, H2X 1P1 Running title: Structural and functional studies of MAM-MHC complexes † Address correspondence to: Hongmin Li, Wadsworth Center, New York State Department of Health, 120 New Scotland Ave, Albany, NY 12208, Tel: 518-486-9154; Fax: 518-474-7992; Email: lih@wadsworth.org
STUDY TO KNOW THE ASSOCIATION OF CLINICAL PRESENTATION AND COMORBIDITY AMONG COVID-19 PATIENTS ADMITTED IN TERTIARY CARE HOSPITAL

: Objective: To study the association of clinical features & comorbidity among Covid-19 patients admitted in tertiary care hospital. Study Design: Cross-sectional study Place and Duration of Study: This study was conducted at the Mayo Hospital Lahore for the period of four months from April to July, 2020. Materials and Methods: Total 142 admitted Covid-19 patients were selected as participants to assess the range of symptoms experienced during active phase of infection. Results: Out of total 142 participants, 87.3 %( n=124) complaint of shortness of breath, 57.7%(n=82) had fever & 43.3% (n=62) had cough,27.5%(n=39) reported of body aches as compared to 14.1% (n=20) who had loose motions & 3.5%(n=5) who experienced irritability. Regarding comorbidity,49.3%(n=70) patients had Diabetes Mellitus,33.1%(n=47) Hypertension, 10.6%(n=15) Ischemic heart disease & 2.8%(n=4) had Chronic kidney disease. Conclusion: During the pandemic of corona infection, majority of the symptomatic patients admitted in hospital had pre-existing health issues i.e. Diabetes, Hypertension, Renal diseases & respiratory involvement. Moreover, the concurrence of Covid-19 infection with medical syndrome serve as a vital prognosis factor linked with complications with multi organ involvement, unexpected outcome & longer hospital stay. This implies that health care emergency services should be formulated and implemented in a way where supervised intensive care should be provided to the most vulnerable group. Moreover, extensive awareness campaigns should be carried out to identify the group at risk of mortality.
Orthokeratinised Odontogenic Cyst: A Diagnostic Havoc

This case report presents a 27 year old male patient who reported with pain in his anterior mandible since a week. History revealed an incidence of trauma on his chin when he was young for which he didn't undergo any treatment. On examination buccal cortical expansion was clinically evident and tenderness was elicited on percussing over the lower anterior teeth. Aspiration was negative initially while it showed serous blood the second time. Radiograph featured an unilocular radiolucency extending from distal of left mandibular first premolar to mesial of right mandibular first molar with an impacted right mandibular canine was seen. Displacement of teeth and inter-radicular scalloping were also evident. With all these clinical and radiographic features we could arrive at a provisional diagnosis of odontogenic keratocyst. A differential diagnosis of traumatic bone cyst and ameloblastoma were also considered. A Complete surgical excision with curettage of the cystic cavity was performed following which histopathological evaluation confirmed the lesion to be an orthokeratinised odontogenic cyst.
The role of vector meson dominance and running masses in the hadronic contributions to the muon $g-2$

We summarize our recent results for the quark loop part of the light-by-light scattering contribution as well as the hadronic vacuum polarisation contributions to the anomalous magnetic moment of the muon. In particular we focus on the role played by the momentum dependence of the quark- and quark-photon vertex dressing functions. We give a detailed comparison of the DysonSchwinger description of this contribution to the corresponding picture emerging from hadronic models in particular the extended Nambu‐Jona-Lasonio model (ENJL). We find that the details of the momentum dependence are important on a quantitative level. Especially the transverse parts of the quark-photon-vertex, which serve as a dynamical extension of simple vector meson dominance models, do not yield the large suppression of the light-by-light contribution found in the ENJL model if realistic dressings are taken into account.
DETECTION OF GENETIC DIVERSITY IN DIFFERENT SOYBEAN (Glycine max L.) CULTIVARS USING SEED STORAGE PROTEIN PROFILES AND RAPD-PCR ANALYSIS

Protein electrophoretic banding patterns of SDS-PAGE and RAPD-PCR analyses were performed to establish molecular diversity pattern for five soybean cultivars (Crawford, Giza 22, Giza 21, Giza 35 and Giza 111) and to elucidate their genetic relationships. The results of protein banding pattern showed a low level of polymorphism, so cannot be used for complete discrimination among the five cultivars under study. However, the results of protein profiles could be considered as indicators for general protein model pattern for the studied soybean cultivars. On the other hand, RAPD-PCR profiles revealed high levels of polymorphism among the five cultivars. Four 10-mer arbitrary primers successfully generated reproducible polymorphic products. Both number and size of the amplified products varied considerably with different primers and a sum of 22 polymorphic and 9 monomorphic bands were generated in all cultivars that used. A total of 8 unique bands were also identified. Two of the primers were more successful in cultivar's identification since they produced unique bands that are characteristics of each cultivar under study. The combination of all polymorphic bands generated by the four primers, were enough to discriminate between the examined soybean cultivars. Various combinations of the three RAPD decamer oligonucleotides had been used in the single-primer to increase the potential of the PCR reaction. To elucidate the genetic relationship, a dendrogram was constructed using both SDS-PAGE and RAPD profiles. The resulting dendrogram revealed three main genetic clusters; the first cluster include Giza22, Crawford and Giza35, while the second cluster, comprised the cultivar Giza21, and the third cluster comprised the cultivar Giza111. The first group has been subdivided into two subgroups; the first subgroup comprised one cultivar (Giza35) whereas the second subgroup included the two cultivars Giza22 and Crawford.
with Calcium Channel Raft Trafficking Entry and Respiratory Burst: Correlations 2+ and Function Regulating Neutrophil Ca Free Cholesterol Alters Lipid Raft Structure

Recent studies associate cholesterol excess and atherosclerosis with inﬂammation. The link between these processes is not understood, but cholesterol is an important component of lipid rafts. Rafts are thought to concentrate membrane signaling molecules and thus regulate cell signaling through G protein-coupled pathways. We used methyl (cid:2) -cyclodextrin to deplete cholesterol from polymorphonuclear neutrophil (PMN) rafts and thus study the effects of raft disruption on G protein-coupled Ca 2 (cid:1) mobilization. Methyl (cid:2) -cyclodextrin had no effect on Ca 2 (cid:1) store depletion by the G protein-coupled agonists platelet-activating factor or fMLP, but abolished agonist-stimulated Ca 2 (cid:1) entry. Free cholesterol at very low concentrations regulated Ca 2 (cid:1) entry into PMN via nonspeciﬁc Ca 2 (cid:1) channels in a biphasic fashion. The speciﬁcity of cholesterol regulation for Ca 2 (cid:1) entry was conﬁrmed using thapsigargin studies. Responses to cholesterol appear physiologic because they regulate respiratory burst in a proportional biphasic fashion. Investigating further, we found that free cholesterol accumulated in PMN lipid raft fractions, promoting formation and polarization of membrane rafts. Finally, the transient receptor potential calcium channel protein TRPC1 redistributed to raft fractions in response to cholesterol. The uniformly biphasic relationships between cholesterol availability, Ca 2 (cid:1) signaling and respiratory burst suggest that Ca 2 (cid:1) inﬂux and PMN activation are regulated by the quantitative relationships between cholesterol and other environmental lipid raft components. The association between symptomatic cholesterol excess and inﬂammation may therefore in part reﬂect free cholesterol-dependent during Ca 2 (cid:1) entry (9). We therefore studied TRPC1 raft trafﬁcking in response to cholesterol as an initial proof of principle that raft cholesterol concentration might regulate the distribu- tion of various Ca 2 (cid:1) inﬂux-related proteins within the cell membrane. We analyzed 20 (cid:2) l of each gradient fraction by electrophoresis on a SDS gel followed by Western blotting for TRPC1 protein. The primary rabbit anti-human TRPC1 Ab (Santa Cruz Biotechnology) was used at 1/1600 dilu- tion. Secondary goat anti-rabbit Ab was used at 1/16,000 dilution. An ECL Western blotting detection kit was used to develop the blots that were imaged as described.
Homotopy classiﬁcation of PD 4 -complexes relative an order relation

We deﬁne an order relation among oriented PD 4 -complexes. We show that with respect to this relation, two PD 4 -complexes over the same complex are homotopy equivalent if and only if there is an isometry between the second homology groups. We also consider minimal objects of this relation
yocardial Blood Volume Is Associated With yocardial Oxygen Consumption

Div rma rma, yocardial ischemia occurs when the supply of xygen is inadequate for the metabolic demand f the myocardium. Measurements of myocarial perfusion (O2 supply) and myocardial oxgen consumption (MVO2) may provide accuate assessments of this balance in the heart. wo important parameters for oxygen delivery re myocardial blood flow (MBF) and myocarial blood volume (MBV). The addition of BV measurements increases the accuracy of erfusion assessments because MBV has been hown to be altered in situations of increased VO2 (1). The MBV is composed of vessels 200 m, of which 90% are capillaries. Beause only 50% of capillaries are functional at est, altering the amount of functional capillar-
in Patient for Letters to the Editor

neonates (1-minute Apgar of (cid:44) respect their at birth and their outcome. The data were collected with respect to birth weight, sex, Apgar score, and acid base status (blood pH and base excess) at birth. The temperature was noted from the nursing sheet. Outcome variables were the mortality and duration of stay (in days) in the hospital. The mean birth weight of the cohort was noted to be 3149 (cid:54) 439 grams, with a male-to-female ratio of 1 (cid:59) 1. The hypothermic asphyxiated neonates (birth temperature between 32°C and 36°C) were noted to have increased mortality (25%) compared with the 0% mortality in normothermic asphyxiated neonates (birth temperature of (cid:46) 36°C). The mean duration of stay for hypothermic asphyxiated neonates was 12 days, compared with 4 days for normothermic asphyxiated neonates. Statistical tests were not applied in view of the small sample size. Our findings of increased mortality and prolonged stay in the hospital in hypothermic asphyxiated neonates to those in previous reports.
The Empirical Moment Matrix and Its Application in Computer Vision

of the Dissertation The Empirical Moment Matrix and Its Application in Computer Vision by Mengran Gou Doctor of Philosophy in Electrical Engineering Northeastern University, April 2018 Dr. Octavia I. Camps, Advisor Embedding local properties of an image, for instance its color intensities or the magnitude and orientation of its gradients, to create a representative feature is a critical component in many computer vision tasks, such as detection, classification, segmentation and tracking. A feature that is representative yet invariant to nuisance factors will scaffold the following modules in the processing pipeline and lead to a better performance for the task at hand. Statistical moments have often been utilized to build such descriptors since they provide a quantitative measure for the shape of the underlying distribution of the data. Examples of these include the covariance matrix feature, bilinear pooling encoding and Gaussian descriptors. However, until now, these features have been limited to using up to second order moments, i.e. the mean and variance of the data, and hence can be poor descriptors when the underlying distribution is non-Gaussian. This dissertation aims towards examining this problem in-depth and identifying possible solutions. In particular, we propose to use feature descriptors based on the empirical moment matrix, which gathers high order moments and embeds them into the manifold of symmetric positive definite (SPD) matrices. The effectiveness of the proposed approach is illustrated in the context of two computer vision problems: person re-Identification (re-ID) and fine-grain classification. Person re-ID is the problem of matching images of a pedestrian across cameras with no overlapping fields of view. It is one of the key tasks in surveillance video processing. Yet, due to the extremely large inter-class variances across different cameras (e.g., poses, illumination, viewpoints), the performance of the state-of-the-art person re-id algorithms is still far from ideal. In this thesis, we propose a novel descriptor, based on the on-manifold mean of a moment matrix (moM) and horizontal mean pooling, which can be used to approximate complex, non-Gaussian, distributions of the pixel features within a mid-sized local patch. To mitigate the gap between academic research and real-world applications, two large-scale public re-ID datasets are proposed and a systematic
Factors influencing nutritional status and food consumption patterns of children with cancer: a case of Kenyatta National Hospital, Kenya

Observations at the Kenyatta National Hospital wards prior to the research period indicated a marked increase in cases of child cancer patients being admitted with various complications. These complications interfered with the children’s food consumption patterns as there was increased morbidity and infections since the immunity of these children was weakened and they were not able to fight the disease effectively. The purpose of this study was to investigate the factors influencing nutritional status and food consumption patterns of children with cancer at Kenyatta National Hospital. A descriptive survey design was used. The study sample was made up of 60 children aged 6 months’ to14 years and 15 service providers. Purposive sampling was used. Data collection instruments included a self-administered questionnaire, an interview schedule, anthropometry, 24 hour dietary recall and an observation checklist. Data was analysed using the Statistical Package for Social Sciences Programme. Research findings revealed that 32% of the children were stunted, 26% were underweight while 12% were wasted. The findings confirmed that all the 18.3% children in the advanced stage of the disease were malnourished. A majority (88.5%) of the children’s food intake was affected by the type of treatment received while the disease process affected 71.8% of the patient’s food intake. Most of these interferences occurred in the middle (55%) and advanced stages (18.3%) of the disease. Therefore astreatment becomes more vigorous and as the disease advances the patients tend to develop more nutritional problems since their food intake is affected. From the findings of this study, it is concluded that food consumption patterns of children with cancer at Kenyatta National Hospital were influencedby the following factors: type of cancer a child suffered from, stage of the disease, duration of cancer disease and therapy used to manage their conditions. In view of these findings, the study recommends that nutritionists should emphasize the importance of adherence to the amounts of nutrients recommended for individual child cancer patients.
LIFT Deliverable template

Barnes, A.P.*1, Candemir, A.2, De Bauw, M.3, Duvaleix, S.2, Florian, V.4, Höglind, L.5, Hyland, J.6, Kilcline, K.6, Leduc, G.5, O’Donoghue, C.7, Polge, E.2,Thompson, B1. , Van Ruymbeke, K.3, Billaudet, L.8, Biseul, P.-A.2,8, Carvin, O.8, Coisnon, T.2, Duclos, A.8, Engström, E.5, Clavin, D.6, Gillanders, M.1, Gourtay, L.2, Guéret, L.2, Hansson, H.5, Henchion, M.6 ,Jeanneaux, P.8, Jin, Y.6, Konstantidelli, V.9, Lassalas, M.2, Latruffe, L.2, Leavy, E.6, Lynch, R.6, Manevska-Tasevska, G.5, Pagès, H.2,8, Roșu, E.4, Rousselière, D.2, Ryan, M.6, Saïd, S.2, Toma, L.1, Tzouramani, I.9, Vranken, L.3 1SRUC^ (United Kingdom), 2INRAE (France), 3KU Leuven (Belgium), 4IAE-AR (Romania), 5SLU (Sweden), 6 Teagasc (Ireland), 7NUI (Ireland),8 VetAgro Sup (France), 9DEMETER (Greece)
DMSO_A_282403 4689..4697

Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, People’s Republic of China; Department of Obstetrics, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, People’s Republic of China; Injury Prevention Research Center, Shantou University Medical College, Shantou, People’s Republic of China; Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, People’s Republic of China
The Economic Impact of Syrian Refugees in Sweden

This report analyzes the economic impact of forced migration on the host country. Specifically, it quantifies the magnitude of the costs associated with the Syrian refugees in Sweden. The results suggest that Syrians tend to accumulate large and persistent deficits over the life cycle. However, the aggregated impact of these deficits is negligible, largely because the Syrian population is much smaller, compared the native-born Swedes. The analysis further demonstrates that only half of the deficits are channeled through the public sector, implying that the fiscal costs of hosting Syrian refugees is quite modest, which is equivalent to about 0.4% of Sweden’s annual GDP.
Fabrication of Oxaliplatin Microemulsion for Enhanced Cytotoxicity against Colon Cancer Cells

The aim of this study was to explore the potential of microemulsion (ME) to improve oxaliplatin efficacy against colon cancer cells. Oxaliplatin ME was prepared by water titration method using Miglyol 812 as oil phase, tween 80 and labrasol as surfactant and cosurfactant respectively. The constructed phase diagram showed the positioning of the ME towards surfactant/cosurfactant region. All the prepared ME formulae with negatively charged with particle size less than 100 nm. The conductivity results revealed that the ME could be water in oil or oil in water. Water amount could significantly affect conductivity, particle size and viscosity of the proposed ME. The incorporation of oxaliplatin in water in oil ME controlled the in vitro release for 24 h in contrast to only 2 h for oxaliplatin oil in water ME. The imparted lipophilicity produced by ME, especially water in oil ME, improved cytotoxicity against CT26 colon cancer cells by 1.7-2 fold. These results gave a rationale for further in vivo biological and toxicological studies. Keywords— Controlled drug release, Cytotoxicity, Lipophilicity, Microemulsion, Oxaliplatin.