Miracle-dz/UniFAR-FTUs huggingface dataset:
Leveraging tensor methods in neural architecture search for the automatic development of lightweight convolutional neural networks

Most state-of-the-art Convolutional Neural Networks (CNNs) are bulky and cannot be deployed on resourceconstrained edge devices. In order to leverage the exceptional generalizability of CNNs on edge-devices, they need to be made efficient in terms of memory usage, model size, and power consumption, while maintaining acceptable performance. Neural architecture search (NAS) is a recent approach for developing efficient, edgedeployable CNNs. On the other hand, CNNs used for classification, albeit developed using NAS, often contain large fully-connected (FC) layers with thousands of parameters, contributing to the bulkiness of CNNs. Recent works have shown that FC layers can be compressed, with minimal loss in performance, if any, using tensor processing methods. In this work, for the first time in literature, we leverage tensor methods in the NAS framework to discover efficient CNNs. Specifically, we employ tensor contraction layers (TCLs) to compress fully connected layers in the NAS framework and control the trade-off between compressibility and classification performance by handcrafting the ranks of TCLs. Additionally, we modify the NAS procedure to incorporate automatic TCL rank search in an end-to-end fashion, without human intervention. Our numerical studies on a wide variety of datasets including CIFAR-10, CIFAR-100, and Imagenette (a subset of ImageNet) demonstrate the superior performance of the proposed method in the automatic discovery of CNNs, whose model sizes are manyfold smaller than other cutting-edge mobile CNNs, while maintaining similar classification performance.
A NEAREST NEIGHBOUR CLASSIFICATION RULE FOR MULTIPLE OBSERVATIONS BASED ON A SUB-SAMPLE

SUMMARY. In this paper, a 1-nearest neighbour (NN) classification rule for classifying m multiple observations into one of s populations is proposed by suitably sub-grouping the training sample observations. This classification rule generalizes the one by Cover and Hart (1967) for a single observation to m multiple observations. The asymptotic risk of the proposed rule is derived and the bounds thereon in terms of the corresponding Bayes risk are shown to be parallel to those obtained by Cover and Hart (1967) for the case m = 1. A proposed crossvalidation type estimator of the asymptotic risk is shown to be asymptotically unbiased and consistent. Further, the results of a Monte Carlo study are reported to assess the performance of the proposed rule and to compare it with that of the 1st-stage rank nearest neighbour (RNN) rule for multiple observations (Bagui, 1989) in small sample situations.
Machine Learning Algorithms and Techniques for Sentiment Analysis in Scientific Paper Reviews: A Systematic Literature Review

Sentiment analysis also referred to as opinion mining, is an automated process for identifying and classifying subjective information such as sentiments from a piece of text usually comments and reviews. Supported by machine learning algorithms, it is possible to identify positive, neutral or negative opinions, being possible to rank or classify them in order to reach some kind of conclusion or obtain any type of information. Thus, this paper aims to perform a systematic literature review in order to report the state-of-the-art of machine learning techniques for sentiment analysis applied to texts of reviews, comments and evaluations of scientific papers.
Study of Aeromycoflora in Different Patient Wards of PMCH Patna (Bihar)

: An attempt was made for purpose of isolation and identification of the fungal load in air indoor and outdoor of Different Patient wards in Patna Medical College and Hospital, Patna, Bihar. The study of aeromycoflora which refers to the airborne fungal spores in the atmosphere was performed during month of September2020 to March 2021. Potato Dextrose media PouredPetri dishes were exposed directly in air, and with Burkard volumetric spore trap placed near patient table and beds in indoor and outdoor areas for 10 to 20 minutes. Incubated at 27 degree for one week. After week grown fungal were identified On the basis of morphological studies taking picture by camra and making slides identifying under microscope. Morphological studies shows total number of 9 to 12 airborne fungal species were observed from both the indoor and outdoor areas, and among them Rhizopus, Aspergillus, Mucor, Curvularia, cladosporium, Penicillium, Fusarium, Alternaria, Histoplasma, Microsporum, there were some species which could not be identified. Microsporum and Aspergillus were reported as dominant species followed by Rhizopus and Mucor in air of PMCH patient ward.
Overview of ROMCIR 2023: The 3rd Workshop on Reducing Online Misinformation through Credible Information Retrieval

The 2023 Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROM-CIR 2023) is at its Third Edition, as part of the Satellite Events of the 45th European Conference on Information Retrieval (ECIR 2023). ROMCIR aims at offering a discussion forum about access to truthful information and mitigation to the information disorder phenomenon, which characterizes our current online environment. This problem is very broad, as it concerns different information objects (e.g., Web pages, online accounts, social media posts, etc.) on different platforms, and different domains and purposes (e.g., detecting fake news, retrieving truthful health-related information, reducing propaganda and hate-speech, etc.). In this context, all those approaches that can serve, from different perspectives, to tackle the truthful information access problem, find their place. In particular, this year keynote speeches and articles have been presented discussing the problem of providing skills for people to identify the truthfulness of information, preventing access to health misinformation, and improving the evaluation processes of truthful information retrieval solutions.
Respiratory and Photosynthetic Responses of Antarctic Vascular Plants Are Differentially Affected by CO2 Enrichment and Nocturnal Warming

Projected rises in atmospheric CO2 concentration and minimum night-time temperatures may have important effects on plant carbon metabolism altering the carbon balance of the only two vascular plant species in the Antarctic Peninsula. We assessed the effect of nocturnal warming (8/5 °C vs. 8/8 °C day/night) and CO2 concentrations (400 ppm and 750 ppm) on gas exchange, non-structural carbohydrates, two respiratory-related enzymes, and mitochondrial size and number in two species of vascular plants. In Colobanthus quitensis, light-saturated photosynthesis measured at 400 ppm was reduced when plants were grown in the elevated CO2 or in the nocturnal warming treatments. Growth in elevated CO2 reduced stomatal conductance but nocturnal warming did not. The short-term sensitivity of respiration, relative protein abundance, and mitochondrial traits were not responsive to either treatment in this species. Moreover, some acclimation to nocturnal warming at ambient CO2 was observed. Altogether, these responses in C. quitensis led to an increase in the respiration-assimilation ratio in plants grown in elevated CO2. The response of Deschampsia antarctica to the experimental treatments was quite distinct. Photosynthesis was not affected by either treatment; however, respiration acclimated to temperature in the elevated CO2 treatment. The observed short-term changes in thermal sensitivity indicate type I acclimation of respiration. Growth in elevated CO2 and nocturnal warming resulted in a reduction in mitochondrial numbers and an increase in mitochondrial size in D. antarctica. Overall, our results suggest that with climate change D. antarctica could be more successful than C. quitensis, due to its ability to make metabolic adjustments to maintain its carbon balance.
Designing Group Music Improvisation Systems

often complete strangers — meet to play music. At these sessions musicians self-organise into performing groups and play whichever tune and style the group feels like, often one from the canon of jazz standards. When the people on stage agree on key and tempo someone does the count-in after which (hopefully) everyone starts at the same moment in the same way. This is where the group music improvisation truly begins, as it is simply impossible to agree on everything beforehand and deliberation is limited in the heat of the moment; you cannot elegantly stop playing and align expectations. Moreover, the fun of group music improvisation lies in its unexpectedness.
in CD14-Deficient Mice Reduced Early Alcohol-Induced Liver Injury

Activation of Kupffer cells by gut-derived endotoxin is associated with alcohol-induced liver injury. Recently, it was shown that CD14-deﬁcient mice are more resistant to endotoxin-induced shock than wild-type controls. Therefore, this study was designed to investigate the role of CD14 receptors in early alcohol-induced liver injury using CD14 knockout and wild-type BALB/c mice in a model of enteral ethanol delivery. Animals were given a high-fat liquid diet continuously with ethanol or isocaloric maltose-dextrin as control for 4 wk. The liver to body weight ratio in wild-type mice (5.8 6 0.3%) was increased signiﬁcantly by ethanol (7.3 6 0.2%) but was not altered by ethanol in CD14-deﬁcient mice. Ethanol elevated serum alanine aminotransferase levels nearly 3-fold in wild-type mice, but not in CD14-deﬁcient mice. Wild-type and knockout mice given the control high-fat diet had normal liver histology, whereas ethanol caused severe liver injury (steatosis, inﬂammation, and necrosis; pathology score 5 3.8 6 0.4). In contrast, CD14-deﬁcient mice given ethanol showed minimal hepatic changes (score 5 1.6 6 0.3, p < 0.05). Additionally, NF- k B, TGF- b , and TNF- a were increased signiﬁcantly in wild-type mice fed ethanol but not in the CD14 knockout. Thus, chronic ethanol feeding caused more severe liver injury in wild-type than CD14 knockouts, supporting the hypothesis that endotoxin acting via CD14 plays a major role in the development of early alcohol-induced liver injury. The Journal of Immunology, 2001, 166: 4737–4742.
Determinant factors of Book-Tax Differences

This article aims to identify institutional and non-institutional factors that determine Book-Tax Differences (BTD) of Brazilian public companies. The research sample is composed of 124 companies, with data available for the period 2010-2015. The results indicate that total BTD have positive relationship with the variables profitability, liquidity and lagged BTD. When the types of BTD are dismembered, profitability and lagged BTD are positively associated with temporary BTD; and profitability and liquidity are positively associated with permanent BTD. Therefore, the results suggest that profitability is associated with all types of BTD (total, temporary and permanent), that is, the most profitable companies show greater difference between book income and taxable income. In addition, the results suggest that the segregation of BTD by type (temporary and permanent) is relevant to the analysis of determinants of this variable. al. investigated the relationship between non-institutional factors and BTD, using a sam ple of Chinese public companies. These identified a negative relationship between BTD and the following factors: relation price to earnings ratio, price to book value ratio, liquidity, leverage and earnings per share growth rate. There is a positive relation between BTD, institutional investor rate and company’s size. Koubaa and Anis (2015) verified the relation between institutional factors (profitability, sales growth and fixed assets growth) and non-institutional ones (accruals, price to book value ratio, liquidity, leverage, institutional stock rate and lagged BTD) and BTD, using a sample of twenty-eight Tunisian companies with data from 2005 to 2012. The results suggest that profitability, sales growth, accruals, leverage and the price to book value ratio are related to BTD.
Near-field optical properties of top-down and bottom-up nanostructures

This review presents a panel of theoretical and experimental results on optical properties near linear, curved, dashed or branched nanometric patterns made of both dielectric and metallic materials. State-of-the-art photonic planar structures can be split into two classes depending on whether they were obtained by top-down or bottom-up processes. The former have been extensively studied but remain large and simple in terms of feature size and architecture, respectively. The latter have only been made available recently and need much investigation of their near-field optical properties, yet they push the integration limit further and provide a new approach to complex architectures. In addition, we review the challenging problem of the light evanescent wave optical addressing of such devices in a subwavelength area. Finally, fundamental aspects related to the mechanisms of optical energy transport in such reduced geometry are also discussed.
Decision Making and Learning in Artificial Physical Systems – Long-Range Orientational Order in a Gibbsian Hard-Core Particle System, Value Learning of Spiking Neurons, and Exit Time Asymptotics of a Switching Process by Alexisz

In this dissertation, we present results in three distinct models of artificial physical systems concerning decision making and learning in an abstract sense. The first chapter discusses crystallization of physical fluids that is not rigorously understood mathematically. We study crystallization in a simplified model with hard-core interaction, and the absence of lattice defects. Point processes of hard spheres that are enumerated by and locally close to some three-dimensional rigid lattice are considered, and shown to exhibit long-range orientational order. This result extends an earlier work to the three-dimensional case which is – to our knowledge – the first rigorous result on long-range orientation order of hard spheres in three dimensions. Long-range orientational order is considered as a signature for crystallization. Relative orientation of neighboring atoms is learned from imposed, tight boundary conditions. In two dimensions, we define a Gibbsian point process with respect to a Poisson point process by a local, geometry dependent Hamiltonian on hard disks that informally speaking imposes a constraint that each point has exactly six neighbors in an annulus around them. Hence, in contrast to the earlier work, we do not require anymore that the process is globally enumerable by a triangular lattice. Existence of long-range orientational order carries over, and we obtain the existence of an infinite-volume Gibbs measure on two-dimensional point configurations that follow the orientation of a fixed triangular lattice arbitrary closely everywhere. In the second chapter, we present a model for neural learning that is joint work with Johanni Brea, Robert Urbanczik, and Walter Senn. How predictions of future events of a
REALISTIC CHALLENGES OF CORPORATE GOVERNANCE IN INDIA

With the rise in the number and nature of corporate debacles in India, it is time to investigate the deep governance related issues of an organization. In the present times, it is evident that the equation between ownership and management lacks the balance and is seen to be skewed more towards the earlier part of the present equation. When owners self interest impedes the interest of other stakeholders; good governance takes a back seat due to the lack of transparency and accountability in the transactions, thereby derailing the entire system. Apart from this there are several other issues that hinder the corporate governance. The present paper aims to identify such realistic challenges Indian organizations are facing and suggest the probable remedies to overcome the same.
The Effect of Mindfulness Intervention on Perceived Stress and Emotional Intelligence

: This study aims to see the effect of one day workshop of mindfulness on the perceived stress and emotional intelligence of participants. This study used the two groups' pre-post research design, with the independent variable of a one-day workshop on Mindfulness for a happy life with dependent variables of five facets in mindfulness, perceived stress, and emotional intelligence. The paired dependent t-test using SPSS 16 was used to compare the five facets of mindfulness, perceived stress, and emotional intelligence among the experimental group and the control group before and after the intervention. The comparison in the variables of five facets of mindfulness perceived stress and emotional intelligence among the experimental and control group were compared using the independent sample t-test using SPSS 16. Two studies were conducted to see the effect of mindfulness practice. Study one was conducted on the employees working in an NGO named HRDS from Kerala. It was a single group pre-post design without a control group. 10 participants took part in this study belonging to the age group of 30 to 40. Data were collected using a five-facet mindfulness questionnaire, a perceived stress scale, and a simplified form of trait emotional intelligence questionnaire (SF TEI Q) before and after the mindfulness for happy life workshop. This study showed a significant difference in the perceived stress level of the employees before and after mindfulness for happy life workshops. In this study, there was a significant positive correlation found between observation, description, and non-judgment. Also, there was a significant positive correlation found between observation and non-reactance. Similarly, there was a significant positive correlation found between description, non-judgment, and non-reactance. A significant negative correlation was found between act with awareness and perceived stress. A significant positive correlation was found between non-judgmental and non-reactance.
A CONTROLLED TRIAL OF TWO NUCLEOSIDE ANALOGUES PLUS INDINAVIR IN PERSONS WITH HUMAN IMMUNODEFICIENCY VIRUS INFECTION AND CD4 CELL COUNTS OF 200 PER CUBIC MILLIMETER OR LESS

Background The efficacy and safety of adding a protease inhibitor to two nucleoside analogues to treat human immunodeficiency virus type 1 (HIV-1) infection are not clear. We compared treatment with the protease inhibitor indinavir in addition to zidovudine and lamivudine with treatment with the two nu- cleosides alone in HIV-infected adults previously treated with zidovudine. The AIDS Clinical Trials Group 320 Study was a randomized, double-blind, placebo-controlled trial that compared the three-drug regimen of indinavir (Crixivan), open-label zidovudine (Retrovir) or stavudine (Zerit), and lamivudine (Epivir) with the two-drug regimen of zidovudine (or stavudine) and lamivudine in HIV-infected patients who had no more than 200 CD4 cells per cubic millimeter and at least three months of prior zidovudine therapy. The randomization was stratified according to the CD4 cell count obtained at the time of screening (50 or fewer cells per cubic millimeter as compared with 51 to 200 cells per cubic mil-limeter). The study was designed to enroll 1750 patients, with 40 percent of them in the stratum with 50 or fewer CD4 cells per cubic millimeter. The primary outcome measure in the assess- ment of efficacy was the development of a new acquired immunodeficiency syndrome (AIDS)–defining event (except when the AIDS-defining event was the development of Pneumocystis carinii pneumonia, in which case both new and recurrent events were ac- cepted as outcome measures) or death; in the assessment of safety, the outcome measure was the occurrence of adverse events (signs, symptoms, or laboratory abnormalities) defined as severe or worse according to the grading scheme of the AIDS Clinical Trials Group. 27 The secondary outcome measures studied were death and changes in CD4 cell counts and plasma HIV-1 RNA concentrations.The
Appendix A-1 Identification under Patient Selection

The analyses to evaluate selection have focused on implications on the EOS effect on length of stay, because qualitative differences in observed patient characteristics suggest that slightly easier patients are assigned near EOS. Easier patients would suggest that cost, orders, and admissions should be lower near EOS, and therefore to the extent that there is any bias of from selection, estimated effects on these other outcomes should be conservative lower bounds of the true effect. This appendix section formally assesses this intuition and quantifies selection on observable characteristics with respect to predicted outcomes. As above, consider predicted outcomes Ŷ set it , where set ∈ {ante, full}. I estimate regressions of predicted outcomes, similar to the baseline regression in Equation (1):
Attention Fusion: a light yet efficient late fusion mechanism for task adaptation in NLU

Fine-tuning a pre-trained language model us-ing annotated data has become the de-facto standard for adapting general-purpose pre-trained models like BERT to downstream tasks. However, given the trend of larger pre-trained models, ﬁne-tuning these models for each downstream task is parameter-inefﬁcient and computationally-expensive deeming this approach sub-optimal for adoption by NLU systems. In recent years, various approaches have been proposed for parameter efﬁcient task adaptation such as Adaptor, Bitﬁt, Prompt tuning, Preﬁx tuning etc. However, most of these efforts propose to insert task spe-ciﬁc parameters in-between or inside intermediate layers of the pre-trained encoder resulting in higher computational cost due to back-propagation of errors to all layers. To mitigate this issue, we propose a light but efﬁcient, attention based fusion module which computes task-attuned token representations by aggregating intermediate layer representations from a pre-trained network. Our proposed fusion module trains only 0.0009% of total parameters and achieves competitive performance to the standard ﬁne-tuning approach on various tasks. It is also decoupled from the pre-trained network making it efﬁcient during computation and scalable during deployment. Last but not the least, we demonstrate that our proposed attention-fusion mechanism can transfer effectively to different languages for further re-use and expansion.