Miracle-dz/UniFAR-FTUs huggingface dataset:
Communication Efficient Distributed Learning for Kernelized Contextual Bandits

We tackle the communication efficiency challenge of learning kernelized contextual bandits in a distributed setting. Despite the recent advances in communication-efficient distributed bandit learning, existing solutions are restricted to simple models like multi-armed bandits and linear bandits, which hamper their practical utility. In this paper, instead of assuming the existence of a linear reward mapping from the features to the expected rewards, we consider non-linear reward mappings, by letting agents collaboratively search in a reproducing kernel Hilbert space (RKHS). This introduces significant challenges in communication efficiency as distributed kernel learning requires the transfer of raw data, leading to a communication cost that grows linearly w.r. t. time horizon $T$. We addresses this issue by equipping all agents to communicate via a common Nystr\"{o}m embedding that gets updated adaptively as more data points are collected. We rigorously proved that our algorithm can attain sub-linear rate in both regret and communication cost.
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes

Learning heterogeneous treatment effects (HTEs) is an important problem across many fields. Most existing methods consider the setting with a single treatment arm and a single outcome metric. However, in many real world domains, experiments are run consistently - for example, in internet companies, A/B tests are run every day to measure the impacts of potential changes across many different metrics of interest. We show that even if an analyst cares only about the HTEs in one experiment for one metric, precision can be improved greatly by analyzing all of the data together to take advantage of cross-experiment and cross-outcome metric correlations. We formalize this idea in a tensor factorization framework and propose a simple and scalable model which we refer to as the low rank or LR-learner. Experiments in both synthetic and real data suggest that the LR-learner can be much more precise than independent HTE estimation.
Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs

The need to train DNN models on end-user devices (e.g., smartphones) is increasing with the need to improve data privacy and reduce communication overheads. Unlike datacenter servers with powerful CPUs and GPUs, modern smartphones consist of a diverse collection of specialized cores following a system-on-a-chip (SoC) architecture that together perform a variety of tasks. We observe that training DNNs on a smartphone SoC without carefully considering its resource constraints can not only lead to suboptimal training performance but significantly affect user experience as well. In this paper, we present Swan, a neural engine to optimize DNN training on smartphone SoCs without hurting user experience. Extensive large-scale evaluations show that Swan can improve performance by 1.2 - 23.3x over the state-of-the-art.
Building an Icelandic Entity Linking Corpus

In this paper, we present the first Entity Linking corpus for Icelandic. We describe our approach of using a multilingual entity linking model (mGENRE) in combination with Wikipedia API Search (WAPIS) to label our data and compare it to an approach using WAPIS only. We find that our combined method reaches 53.9% coverage on our corpus, compared to 30.9% using only WAPIS. We analyze our results and explain the value of using a multilingual system when working with Icelandic. Additionally, we analyze the data that remain unlabeled, identify patterns and discuss why they may be more difficult to annotate.
Generic Reed-Solomon Codes Achieve List-Decoding Capacity

In a recent paper, Brakensiek, Gopi and Makam introduced higher order MDS codes as a generalization of MDS codes. An order-ℓ MDS code, denoted by MDS(ℓ), has the property that any ℓ subspaces formed from columns of its generator matrix intersect as minimally as possible. An independent work by Roth defined a different notion of higher order MDS codes as those achieving a generalized singleton bound for list-decoding. In this work, we show that these two notions of higher order MDS codes are (nearly) equivalent. We also show that generic Reed-Solomon codes are MDS(ℓ) for all ℓ, relying crucially on the GM-MDS theorem which shows that generator matrices of generic Reed-Solomon codes achieve any possible zero pattern. As a corollary, this implies that generic Reed-Solomon codes achieve list decoding capacity. More concretely, we show that, with high probability, a random Reed-Solomon code of rate R over an exponentially large field is list decodable from radius 1−R−є with list size at most (1−R−є)/є, resolving a conjecture of Shangguan and Tamo.
A redetermination of the solar iron abundance based on new Fe I oscillator strengths

We derive the solar abundance of iron from photospheric Fe I lines whose f-values have been determined recently in a hollow-cathode experiment in combination with accurate lifetime measurements. Taking into account a small (+ 0.03 dex) abundance correction for photospheric Non-LTE effects we infer a solar iron abundance of log N(Fe)=7.50±0.07 on the scale log N(H)=12. This result is in close agreement with that derived earlier from lines of ionized iron whose f-values have been obtained by the same technique, but it is 0.17 dex smaller than the currently accepted standard value based on absorption furnace f-values
QUANTITATIVE DETERMINATION OF PHYTOCHEMICALS CONSTITUENTS OF JUSTICIA SPP. (IRUGEJE) SEED

: Phytochemicals are non- nutritive plant chemicals that have protective or disease preventive properties. They are non-essential nutrients, meaning that they are not required by the human body for sustaining life. Justicia spp. (Irugege) is a spice used in the preparation of various dishes in the southern part of Nigeria. It grows in subtropical areas and is relatively drought resistant; it is believed to possess various nutritional properties. The aim of this work is to determine the quantitative phytochemical constituents of Justicia spp. Seed. The phytochemical constituent of the seed were carried out using gas chromatography flame ionization detector (GC-FID). Results revealed the presence of eleven phytoconstituents alkaloids (17.32/100g), terpenes (1.47mg/100g). tannins (4.59mg/100g), saponins (5.29mg/100g), anthocyanins (1.15mg/100g), phenols (119.40mg/100g), lignans (1.40mg/100g), glycosides (9.23mg/100g), phytosterols (45.52mg/100g), flavonoids (207.06mg/100g) and stilbenes (271.07mg/100g). Justicia spp. , high in stilbenes, flavonoids, and phenols concentration could be used as a potent herbal antioxidant, quantification of chromatography and type HP AX , . The injection was 250°C in split injection of sample. The carrier gas used was nitrogen with Hydrogen pressure (22psi). The initial oven was 60°C and first ramping at 10°C/min for 20min, maintained for 4min and second ranging at 15°C/min for 4min, maintained for 10min. while the detector was operated at 320°C. Phytochemicals were determined by the ratio between the area and mass of internal standard and the area of identified phytochemicals.
MODERN CRYPTOGRAPHY TECHNIQUES FOR INCREASE NETWORK SECURITY

Network Security & Cryptography is a concept to protect network and data transmission over wireless network.Data Security is the main aspect of secure data transmission over unreliable network. Network security involves theauthorization of access to data in a network, which is controlled by the network administrator. Users choose or are assignedan ID and password or other authenticating information that allows them access to information and programs within theirauthority. Network security covers a variety of computer networks, both public and private, that are used in everyday jobsconducting transactions and communications among businesses, government agencies and individuals. Networks can beprivate, such as within a company, and others which might be open to public access. Network security is involved inorganizations, enterprises, and other types of institutions. In this paper we also studied cryptography along with itsprinciples. Cryptographic systems with ciphers are described.The cryptographic models and algorithms are outlined.
ACELL May 45/5

Wheeler, Matthew T. , Emily C. Snyder, Melissa N. Patterson, and Steven J. Swoap. An E-box within the MHC IIB gene is bound by MyoD and is required for gene expression in fast muscle. Am. J. Physiol. 276 (Cell Physiol. 45): C1069–C1078, 1999. —The myosin heavy chain (MHC) IIB gene is selectively expressed in skeletal muscles, imparting fast contractile kinetics. Why the MHC IIB gene product is expressed in muscles like the tibialis anterior (TA) and not expressed in muscles like the soleus is currently unclear. It is shown here that the mutation of an E-box within the MHC IIB promoter decreased reporter gene activity in the fasttwitch TA muscle 90-fold as compared with the wild-type promoter. Reporter gene expression within the TA required this E-box for activation of a heterologous construct containing upstream regulatory regions of the MHC IIB promoter linked to the basal 70-kDa heat shock protein TATA promoter. Electrophoretic mobility shift assays demonstrated that mutation of the E-box prevented the binding of both MyoD and myogenin to this element. In cotransfected C2C12 myotubes and Hep G2 cells, MyoD preferentially activated the MHC IIB promoter in an E-box-dependent manner, whereas myogenin activated the MHC IIB promoter to a lesser extent, and in an E-box-independent manner. A time course analysis of hindlimb suspension demonstrated that the unweighted soleus muscle activated expression of MyoD mRNA before the de novo expression of MHC IIB mRNA. These data suggest a possible causative role for MyoD in the observed upregulation of MHC IIB in the unweighted soleus muscle.
Optical resonance in inhomogeneous parity-time symmetric systems

Linshan Sun (孙林山), Bo Zhao (赵 博), Jiaqi Yuan (袁家琪), Yanrong Zhang (张艳荣), Ming Kang (康 明), and Jing Chen (陈 璟) 1 MOE Key Laboratory of Weak-Light Nonlinear Photonics, School of Physics, Nankai University, Tianjin 300071, China 2 College of Physics and Materials Science, Tianjin Normal University, Tianjin 300387, China 3 Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China
Numerical study of the effect of glass fiber sizing reinforcement by randomly distributed CNTs on the glass / epoxy composite transverse mechanical properties

ناگژاو دیلک : لحت لی دودحم ناملا راهآ کرتشم زاف تسلاا لودم هتیسی ضرع ی ششک ماکحتسا ی ضرع ی هدیکچ هب ،یسکوپا/هشیش تیزوپماک یضرع یکیناکم صاوخ یور رب هشیش فایلا راهآ یکیناکم تیوقت رثا ،هعلاطم نیا رد هیحان نیا دایز ریثأت تهج تیزوپماک یلک یکیناکم صاوخ یور رب یاه تیوقت شیپ یارب . تسا هدش یسررب ،فایلا اب هدش یششک ماکحتسا و هتیسیتسلاا لودم ینیب هس لدم کی و هدنیامن یمجح ناملا کی بیترت هب ،یسکوپا/هشیش تیزوپماک یضرع مرن رد هتسوپ یدعب هیبش سوکابآ یراجت رازفا یزاس هدش هب راهآ یکیناکم صاوخ . دنا رد تخاونکیریغ و نگمهان تروص اب راهآ تیوقت ،نیا رب هولاع . تسا هدش هتفرگ رظن رد نآ تماخض لوط هلولونان زا هدافتسا و یفداصت عیزوت شور کی زا هدافتسا هیبش نیا رد . تسا هتفرگ ماجنا ینبرک یاه یمجح رسک و رطق ،لوط ،یزاس یاه هلولونان یارب فلتخم سپس و تسا هدش هتفرگ رظن رد راهآ تیوقت رد ینبرک یاه هدش هسیاقم جیاتن هب جیاتن هسیاقم . دنا تسد زا هدمآ هیبش هداد و یزاس یم ناشن ،دوجوم یبرجت یاه هیبش هک دهد یکیناکم صاوخ اب راهآ هب تبسن تخاونکیریغ یکیناکم صاوخ اب راهآ یزاس قیقد جیاتن ،تباث یم هئارا ار یرت هلولونان لوط شیازفا هک تسا هدش هداد ناشن ،نینچمه . دهد نآ رطق شهاک ای و ینبرک یاه راهآ رد هک ،اه هدش عیزوت یم یسکوپا/هشیش تیزوپماک یضرع یششک ماکحتسا و هتیسیتسلاا لودم دوبهب ثعاب ،دنا . دوش
Reducing the Attack Surface for Private Data

—Breaches of private data have been occurring at an alarming rate, to the embarrassment and expense of companies that hold the data. It would appear that in each breach, the attack surface for the data has been sufficiently large to attract attackers. Reducing this attack surface is a way to lessen the likelihood of breaches. This paper presents methods for reducing the attack surface of private data held in the online computer systems of organizations. The methods are applied to a software system’s architecture early in the design process, as an approach for designing-in security. This work defines the attack surface for the data, and then uses this definition to obtain a formula for calculating the attack surface. The definition further leads to identifying methods that can be used to reduce the attack surface. Reducing the attack surface may not prevent breaches, but it will make them less likely to occur.
Transformer-based Methods with #Entities for Detecting Emergency Events on Social Media

This paper summarizes the participation of the L3i laboratory of the University of La Rochelle in the TREC Incident Streams 2021. This track aimed at identifying critical information present in social media by categorizing and prioritizing tweets in a disaster situation to assist emergency service operators. For both classifying tweets by information type and ranking tweets by criticality, we proposed a multitask and multilabel learning approach based on representing the tweet text and the event types with pre-trained language models, and by highlighting entities and hashtags. We also experimented with a bag of words representation and classical machine learning methods for the prioritization task. We conclude that, because our multitask approach can take advantage of both tasks, it achieved the best performance in comparison with different proposed ensembles. Our submissions obtained top performance for the prioritization task and surpassed the median performance for the information type classification task.
A MODEL OF AFFECTIVE, COGNITIVE AND HEDONIC RESPONSE TO PRODUCTS

This paper discusses the user response to product features, within the context of a non-instrumental interaction. Basing on existing literature, three types of response are identified: cognitive, hedonic and emotional response. This work proposes a visual model in which the different types of user response, their relations and the processes underlying their elicitation are represented. The suggested model is an attempt to give an overview of the aspects involved in the generation of the user response and their mutual influences, with the aim to support researchers in the field of Design and Emotion in clarifying the context of their studies. Possible uses of the model are discussed, both as a theoretical framework and as a practical research tool. Moreover, various disciplines involved in the study of this many-sided phenomenon are placed on the model, with a particular focus on the role of design.
Accuracy of Multidetector Computed Tomography for N Staging of Gastric Cancer in Eastern Asia: A Meta-analysis and Systematic Review

Background:Eastern Asia is a region with a high incidence of gastric cancer (GC), and the detection rate of early gastric cancer (EGC) has been rising in recent decades.2With the development of endoscopic submucosal dissection (ESD) and the scope of its indications gradually expanded,the treatment for EGC is becoming a hot topic, which involves accurate preoperative evaluation.3The purpose of this study was to assess overall accuracy of multidetector computed tomography (MDCT) in N staging of GC in Eastern Asia.4Methods: A comprehensive search was conducted to collect all relevant published studies about MDCT in assessing N staging of GC in Eastern Asia, within the PubMed, Cochrane library and Web of science databases from January 01, 2002 to April 01, 2020.5 The raw data from the included studies calculated the pooled sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for evaluating the performance of MDCT.6 The studies were grouped according to different criteria to assess the effect of possible factors on the sensitivity of MDCT.7Results: fourteen studies (5119 patients) were included in this analysis.8 In Eastern Asia, MDCT had a pooled accuracy of 67% (95% confidence interval [CI] 0.62-0.72, I = 90.1%) for N staging. By subgroup analysis, reference diameter of lymph node metastasis (LNM) and degree of tumor invasion (DTI) were correlated with the sensitivity of N staging.9 And the pooled sensitivity for N+ of EGC was relatively low.10Conclusions: In Eastern Asia, as the influence of reference diameter of LNM and DTI, the sensitivity of MDCT in N staging of GC was insufficient.11 This may lead to incorrect preoperative staging, so that patients with GC may be over treated or inadequate lymph node (LN)dissection.12 The hierarchical assessment strategy may significantly improve the sensitivity for N+ of EGC to make appropriate methods of treatment.13
Small vessel disease lesion type and brain atrophy: The role of coâ•’occurring amyloid

1 Department of Neurology andNeurosurgery, UMCUtrecht Brain Center, Utrecht University, Utrecht, the Netherlands 2 Department of Radiology andNuclear Medicine, AmsterdamNeuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands 3 Institutes of Neurology &Healthcare Engineering, University College London (UCL), London, UK 4 Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands 5 Image Sciences Institute, UniversityMedical Center Utrecht, Utrecht, the Netherlands 6 Alzheimer Center &Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands 7 Brain Research Center, Amsterdam, the Netherlands
Multi-instrument Observations of Ion-Neutral Coupling

20 Using data from the Scanning Doppler Imager, the Super Dual Auroral Radar Network, 21 the EISCAT Svalbard Radar and an auroral all-sky imager, we examine an instance of 22 F-region neutral winds which have been influenced by the presence of poleward moving 23 auroral forms near the dayside cusp region. We observe a reduction in the time taken 24 for the ion-drag force to re-orientate the neutrals into the direction of the convective plasma 25 (on the order of minutes), compared to before the auroral activity began. Additionally, 26 because the ionosphere near the cusp is influenced much more readily by changes in the 27 solar wind via dayside reconnection, we observe the neutrals responding to an interplan28 etary magnetic field change within minutes of it occurring. This has implications on the 29 rate that energy is deposited into the ionosphere via Joule heating, which we show to 30 become dampened by the neutral winds. 31
Golgi Membrane Dynamics Viewed Through a Lens of Lipids

The striking morphology of the Golgi complex has fascinated cell biologists since its discovery over 100 years ago. Yet, despite intense efforts to understand how membrane flow relates to Golgi form and function, this organelle continues to baffle cell biologists and biochemists alike. Fundamental questions regarding Golgi function, while hotly debated, remain unresolved. While Golgi function is historically described from a protein-centric point of view, we now appreciate that conceptual frameworks for how lipid metabolism is integrated with Golgi biogenesis and function are essential for a mechanistic understanding of this fascinating organelle. It is from a lipid-centric perspective that we discuss the larger question of Golgi dynamics and membrane trafficking. We review the growing body of evidence for how lipid metabolism is integrally written into the engineering of the Golgi system, and highlight questions for future study.
This is a repository copy of Sensor-based platforms for remote management of chronic diseases in developing regions: A qualitative approach examining the perspectives of healthcare

The continuous monitoring of chronic diseases serves as one of the cornerstones in the efforts to improve the quality of life of patients and maintain the healthcare services provided to them. This study aims to provide an in-depth understanding of the perspectives of healthcare professionals on using sensor-based networks (SBN) used for remote and continuous monitoring of patients with chronic illness in Kosovo, a developing country. A qualitative research method was used to interview 26 healthcare professionals. The study results demonstrate the positive attitudes of participants to using SBN, and considers their concerns on the impact of these platforms on the patient’s life, the number of visits in the medical centre, data privacy concerning interactions between patients and their medical personnel and the costs of the platform. Corresponding author: Adelina Basholli, Information School, The University of Sheffield Western Bank Sheffield, Sheffield S10 2TN, UK. Email: adbasholli@seerc.org 979350 JHI0010.1177/1460458220979350Health Informatics JournalBasholli et al. research-article2021
The Unsolved Problem of Language Identification: A GMM-based Approach

Language identification (LID) systems attempt to identify a language from a series of randomly spoken utterances (Das & Roy, 2019), and this provides the foundation of many natural language processing (NLP) applications, such as multimedia mining, spoken-document retrieval, as well as multilingual spoken dialogue systems (Navratil, 2006). However, presently, the LID task is still an unsolved problem, often with increasing equal error rate (EER) as the duration and quality of the dataset decreases (Ambikairajah et al., 2011). The HMM-GMM (Hidden Markov Model-Gassian Mixture Model) approach taken in this paper involves building an acoustic model that uses probabilistic representations of speech datasets across 10 languages (Dutch, Russian, Italian, Portuguese, German, English, French, Turkish, and Greek). Through the exploration of the cross-linguistic features present in language families and the effect of the experimental parameters on the performance of the system, i.e., the length of the data recording, areas of weaknesses and corresponding means of improvement are therefore revealed.
Title : In-situ out-of-plane testing of as-built and retrofitted unreinforced masonry walls 1

3 The out-of-plane behavior of as-built and retrofitted unreinforced masonry (URM) walls was 4 investigated by conducting in-situ static airbag tests in four buildings. The age of the buildings 5 varied from 80 to 130 years, and all but one were constructed using clay brick masonry with 6 timber floor and roof diaphragms. The fourth building was a reinforced concrete frame structure 7 with pre-cracked clay block partition walls in addition to partition walls that appeared 8 undamaged. The test program was comprised of testing five one-way vertically spanning solid 9 URM walls from the group of three URM buildings and testing four two-way spanning URM 10 partition walls from the reinforced concrete frame building. All walls were tested with their 11 original support conditions, but three one-way spanning walls were additionally re-tested with 12 modified support conditions. These additional tests allowed the effects of wall support type to be 13 investigated, including the influence of a concrete ring beam used at the floor levels and the 14 influence of wall to timber diaphragm anchorage by means of grouted steel rods. Several walls 15 were next retrofitted by adding either near-surface mounted (NSM) carbon fiber reinforced 16 polymer (FRP) strips or NSM twisted steel bars (TSB), and were then re-tested. A comparison 17 1 Post-doctoral Research Fellow, School of Civil, Environmental, and Mining Engineering, The University of Adelaide, SA 5005, Australia, hossein.derakhshan@adelaide.edu.au 2 Post-doctoral Research Fellow, Department of Civil & Environmental Engineering, University of Auckland, Private Bag 92019, Auckland 1010, New Zealand, ddiz001@aucklanduni.ac. nz 3 Professor, School of Civil, Environmental, and Mining Engineering, University of Adelaide, SA 5005, Australia, mcgrif@civeng.adelaide.edu.au 4 Professor, Department of Civil & Environmental Engineering, University of Auckland, Private Bag 92019, Auckland 1010, New Zealand, j.ingham@auckland.ac. nz