Miracle-dz/UniFAR-FTUs huggingface dataset:
Stable learned bloom filters for data streams

Bloom filter and its variants are elegant space-efficient probabilistic data structures for approximate set membership queries. It has been recently shown that the space cost of Bloom filters can be significantly reduced via a combination with pre-trained machine learning models, named Learned Bloom filters (LBF). LBF eases the space requirement of a Bloom filter by undertaking part of the queries using a classifier. However, current LBF structures generally target a static member set. Their performances would inevitably decay when there is a member update on the set, while this update requirement is not uncommon for real-world data streaming applications such as duplicate item detection, malicious URL checking, and web caching. To adapt LBF to data streams, we propose the Stable Learned Bloom Filters (SLBF) which addresses the performance decay issue on intensive insertion workloads by combining classifier with updatable backup filters. Specifically, we propose two SLBF structures, Single SLBF (s-SLBF) and Grouping SLBF (g-SLBF). The theoretical analysis on these two structures shows that the expected false positive rate (FPR) of SLBF is asymptotically a constant over the insertion of new members. Extensive experiments on real-world datasets show that SLBF introduces a similar level of false negative rate (FNR) but yields a better FPR/storage trade-off compared with the state-of-the-art (non-learned) Bloom filters optimized on data streams.
Development and survival of Helicoverpa armigera (Lepidoptera: Noctuidae) on short-duration pigeonpea

Larvae of Helicoverpa armigera Hubner were reared on flowers, pods, and leaves of six short-duration pigeonpea genotypes (ICPL 86005, ICPL 86015, ICPL 86012, ICPL 87101, ICPL 88023, and ICPL 87) under laboratory conditions to study the effect of host plant and different plant parts on growth and survival. Larval and pupal weights were significantly higher, larval developmental period significantly shorter, and adult lifespan significantly longer when larvae were reared on pods compared with flowers or leaves. Lowest larval and pupal weight, longest larval developmental period, and shortest adult lifespan were observed when larvae were reared on leaves. Larvae reared on ICPL 87 had the shortest larval developmental time, the highest larval and pupal weights, and the longest adult lifespan. Larvae reared on ICPL 86012 had the lowest larval weight and longest larval period, and larvae reared on ICPL 86005 had the lowest pupal weight and longest pupal period. The effect of these differences on H. armigera population dynamics and the potential impact on pigeonpea are discussed.
Scalable Tensor-Train-Based Tensor Computations for Cyber–Physical–Social Big Data

Tensor-based big data analysis approaches are effectively exploited to handle multisource and heterogeneous cyber–physical–social big data generated from diverse spaces. However, the curse of dimensionality seriously restricts their widespread exploitation, especially under edge/fog computing environments. To alleviate the dilemma, we attempt to present a set of tensor-train (TT)-based tensor operations with their scalable computations and then propose a novel TT-based big data processing framework under edge/fog computing environments. Specifically, in this article, we first summarize and present a set of TT-based tensor operations by converting the original high-order tensor operation to a series of low-order (second- or third-order) TTcore-based operations. Then, we propose a two-layer scalable TT-based computation architecture, including inter-TTcore and intra-TTcore scalable models. Afterward, according to various scalable models, a series of scalable TT-based tensor computations (STT-TCs) with their complexity analysis are proposed in detail. Finally, we propose a novel TT-based big data processing framework to adapt to edge/fog computing environments. We conduct extensive experiments based on both random data sets and real-world ubiquitous bus traffic data sets. Experimental results demonstrate that the proposed STT-TCs can significantly improve computation efficiency and are suitable for edge/fog computing environments.
Pitfalls of Provably Secure Systems in Internet the Case of Chronos-NTP

The critical role that Network Time Protocol (NTP) plays in the Internet led to multiple efforts to secure it against time-shifting attacks. A recent proposal for enhancing the security of NTP with Chronos against on-path attackers seems the most promising one and is on a standardisation track of the IETF. In this work we demonstrate off-path attacks against Chronos enhanced NTP clients. The weak link is a central security feature of Chronos: The server pool generation mechanism using DNS. We show that the insecurity of DNS allows to subvert the security of Chronos making the time-shifting attacks against Chronos-NTP even easier than attacks against plain NTP.
BOUNDED SOLUTIONS TO FUNCTIONAL INTEGRO-DIFFERENTIAL EQUATIONS ARISING FROM HEAT CONDUCTION IN MATERIALS WITH MEMORY

Abstract. In this paper, we consider recurrent behavior of bounded solutions for a functional integrodifferential equation arising from heat conduction in materials with memory. Prior to the main results, we give a new version of composite theorem on measure pseudo almost automorphic functions involved in delay. Based on recently obtained results on the uniform exponential stability as well as contraction mapping principle, we prove some existence and uniqueness theorems on the recurrence of bounded mild solutions for the addressed equations with infinite delay. Finally, we finish this paper with an example on partial integro-differential equation which frequently comes to light in the study of heat conduction.
Machine Learning for Phone-Based Relationship Estimation

Estimating the category and quality of interpersonal relationships from ubiquitous phone sensor data matters for studying mental well-being and social support. Prior work focused on using communication volume to estimate broad relationship categories, often with small samples. Here we contextualize communications by combining phone logs with demographic and location data to predict interpersonal relationship roles on a varied sample population using automated machine learning methods, producing better performance (F1 = 0.68) than using communication features alone (F1 = 0.62). We also explore the effect of age variation in the underlying training sample on interpersonal relationship prediction and find that models trained on younger subgroups, which is popular in the field via student participation and recruitment, generalize poorly to the wider population. Our results not only illustrate the value of using data across demographics, communication patterns and semantic locations for relationship prediction, but also underscore the importance of considering population heterogeneity in phone-based personal sensing studies.
Carbon Stocks and Fluxes in Kenyan Forests and Wooded Grasslands Derived from Earth Observation and Model-Data Fusion

The characterization of carbon stocks and dynamics at the national level is critical for countries engaging in climate change mitigation and adaptation strategies. However, several tropical countries, including Kenya, lack the essential information typically provided by a complete national forest inventory. Here we present the most detailed and rigorous national-scale assessment of aboveground woody biomass carbon stocks and dynamics for Kenya to date. A non-parametric random forest algorithm was trained to retrieve aboveground woody biomass carbon (AGBC) for the year 2014 ± 1 and forest disturbances for the 2014–2017 period using in situ forest inventory plot data and satellite Earth Observation (EO) data. The ecosystem carbon cycling of Kenya’s forests and wooded grassland were assessed using a model-data fusion framework, CARDAMOM, constrained by the woody biomass datasets from this study as well as time series information on leaf area, fire events and soil organic carbon. Our EO-derived AGBC stocks were estimated as 140 Mt C for forests and 199 Mt C for wooded grasslands. The total AGBC loss during the study period was estimated as 1.89 Mt C with a dispersion below 1%. The CARDAMOM analysis estimated woody productivity to be three times larger in forests (mean = 1.9 t C ha−1 yr−1) than wooded grasslands (0.6 t C ha−1 yr−1), and the mean residence time of woody C in forests (16 years) to be greater than in wooded grasslands (10 years). This study stresses the importance of carbon sequestration by forests in the international climate mitigation efforts under the Paris Agreement, but emphasizes the need to include non-forest ecosystems such as wooded grasslands in international greenhouse gas accounting frameworks.
A comparative review on the pathogenicity and virulence factors of meticillin-resistant and meticillin-susceptible Staphylococcus aureus

Staphylococcus aureus infections are important causes of morbidity and mortality either in hospitals or in the community. It is worth examining comparatively two major populations, the meticillin-resistant S. aureus (MRSA) and the meticillin-susceptible S. aureus (MSSA). The debate about the pathogenic role of MRSA has existed ever since such strains appeared. The controversial opinions have inspired several researchers to examine the factors that can contribute to the pathogenicity and virulence of MRSA and MSSA. The aim of this review is to compare MRSA and MSSA strains according to pathogenic factors and virulence. Comparison will be made of possible differences between MRSA and MSSA, including the cell growth kinetics, slime layer production, lipid content, cell-surface proteins, enzyme activity, virulence gene combinations and toxin production. Showing possible differences in various aspects of virulence, the results of phagocytosis assays and in-vivo animal studies are also reviewed. The clinical relevance of any differences will be made by comparing mortality rates and hospital costs of MSSA and MRSA infections. In addition, the hospital-associated MRSA and the community-acquired MRSA are described in terms of the virulence factors and infections caused by these types of MRSA. In conclusion, the most important reason for the controversial results is the heterogeneous nature of the meticillin-resistant population. To give more correct results, the comparison of at least selected and congenic MRSA and MSSA strain pairs derived from the same wild-type MRSA isolates would be required.
Multi-Sensor Approach to Improve Bathymetric Lidar Mapping of Semi-Arid Groundwater-Dependent Streams: Devils River, Texas

Remote sensing technology enables detecting, acquiring, and recording certain information about objects and locations from distances relative to their geographic locations. Airborne Lidar bathymetry (ALB) is an active, non-imaging, remote sensing technology for measuring the depths of shallow and relatively transparent water bodies using light beams from an airborne platform. In this study, we acquired Lidar datasets using near-infrared and visible (green) wavelength with the Leica Airborne Hydrography AB Chiroptera-I system over the Devils River basin of southwestern Texas. Devils River is a highly groundwater-dependent stream that flows 150 km from source springs to Lake Amistad on the lower Rio Grande. To improve spatially distributed stream bathymetry in aquatic habitats of species of state and federal conservation interest, we conducted supplementary water-depth observations using other remote sensing technologies integrated with the airborne Lidar datasets. Ground penetrating radar (GPR) mapped the river bottom where vegetation impeded other active sensors in attaining depth measurements. We confirmed the accuracy of bathymetric Lidar datasets with a differential global positioning system (GPS) and compared the findings to sonar and GPR measurements. The study revealed that seamless bathymetric and geomorphic mapping of karst environments in complex settings (e.g., aquatic vegetation, entrained air bubbles, riparian zone obstructions) require the integration of a variety of terrestrial and remotely operated survey methods. We apply this approach to Devils River of Texas. However, the methods are applicable to similar streams globally.
Synthesis And Characterization Of Silver Nanoparticles Using Flower Extract Ofaerva Lanata And Evaluation Of Its antimicrobial Activities

Silver nanoparticles (AgNPs) with flower extract of Aerva lanata are successful in the process of synthesis. The characterization of obtained AgNPs are accomplished by the following methods like UV-Visible Spectrometer, Field Emission Scanning Electron Microscopy paired with Energy Dispersive Xray Spectroscopy, X-ray Diffraction, Fourier Transform Infrared Spectroscopy, Dynamic Light Scattering. The spherical morphologies are confirmed, with the size of range 10 to 50 nm. The Energy Dispersive X-ray Spectroscopy present in the elemental absorption peak at 3 KeV. The existence of elemental silver in the sample is also proved by the planes (111), ( 200), (220) and (311) corresponds peaks in the X-Ray Diffraction patterns which implies the crystalline nature of the nanoparticles in the face centered cubic structure. The evaluation of size dis tribution of nanoparticles were done using Dynamic Light Scattering measurements. Additionally, nanoparticles show effective antibacterial and antifungal activities. As synthesized AgNPs showed excellent antibacterial activities against pathogenic two gram positive and one gram negative and antifungal activities showed good test organisms, from the result sample candida vulgaris was most effective and the highest activity. Index Terms : Aerva lanata, Antibacterial activity, Antifungal activity, DLS, FTIR, silver nanoparticles, UV. ——————————  ——————————
Effects of Indigestible Dextrin on Blood Glucose and Insulin Levels after Various Sugar Loads in Rats.

馬鈴薯デンプンより調製した低粘性水溶性食物繊維である難消化性デキストリン (PF-C) について, 各種糖質負荷後の血糖値およびインスリン分泌に及ぼす影響を検討した。 1) PF-Cの血糖値上昇抑制効果はショ糖およびマルトースに対して, またインスリン分泌の抑制効果はショ糖, マルトースならびにマルトデキストリンに対して有意に認められた。 しかし, グルコース, 異性化糖あるいはラクトース負荷後の血糖値およびインスリン分泌に対してPF-Cは有意な影響を及ぼさなかった。 2) PF-Cはスクラーゼ活性を微弱ながら上昇させたが, マルターゼ活性に対しては有意な影響を及ぼさなかった。 3) in situ小腸灌流実験において, PF-Cはグルコースの吸収にはほとんど影響を与えなかうたのに対し, ショ糖およびマルトースの消化により生じたグルコースの吸収はいずれも有意に抑制した。
I NTERNATIONAL J OURNAL OF R ESEARCH S CIENCE & M ANAGEMENT

Multimodality medical image fusion has drawn innumerable attention with the increasing rate at that multimodality medical pictures square measure out there in several clinic application fields. irradiation arrange, for example, usually advantages from the complementary data in pictures of various modalities. Dose calculation relies on the computerized tomography (CT) knowledge, whereas neoplasm define is commonly higher performed within the corresponding resonance (MR) image. For diagnosis, CT provides the higher data on denser tissue with less distortion, whereas magnetic resonance imaging offers higher data on soft tissue with a lot of distortion. With a lot of out there multimodality medical pictures in clinic application, the concept of encompassing completely different image data comes up vital, and medical image fusion has been rising as a brand new and promising analysis space. The goal of image fusion is to get helpful complementary data from multimodality pictures the maximum amount as potential.multimodality clinical picture fusion has drawn numerous attention with the growing rate at that multimodality scientific snap shots rectangular measure handy in numerous hospital software fields. radiation arrange, for example, usually edges from the complementary statistics in pictures of various modalities. dose calculation relies on the computed axial tomography (ct) information, while growth define is normally higher accomplished within the corresponding resonance (mri) photograph. for diagnosing, ct provides the better records on denser tissue with less distortion, while magnetic resonance imaging gives better records on tender tissue with a number of distortion
Local versus global diversity of microorganisms : cryptic diversity of ciliated protozoa

Microbial species diversity. both global and local, is still poorly understood. In this study all species of ciliated protozoa were recorded microscopically from ∼1 cm 2 sediment collected from a small lake and from a marine shallow-water bay. Additional adjacent sediment samples (together representing <50 cm 2 ) then incubated under a variety of culture conditions to reveal cryptic species that are present as resting cysts or are too rare to be found microscopically. About 85 and of the total number of observed species from the limnic and marine sediment, respectively, were such cryptic species. In both cases the number of species found in < 50 cm 2 of sediment represented about 75% of all ciliate species ever recorded from these two previously well-studied habitats, and about 8% of all named free-living ciliates. These observations support the assumption that in the case of microorganisms everything is everywhere and that their global species diversity is relatively limited.
The reproductive cycle of the viviparous Mexican lizard Sceloporus torquatus

The reproductive cycle of the lizard Sceloporus torquatus was determined using data obtained from field caught and museum specimens. Males exhibit testicular recrudescence during late summer and maximal testicular volumes occur during September and October. Similarly, females begin vitellogenesis in late summer, culminating in ovulation during November or December. Females are pregnant throughout the winter months with birth in April or early May. Average clutch size is 9.7 young. Neonates of both sexes are born early in summer, achieve adult size within five months and are thus capable of reproductive activity the first fall after birth. This study adds to the data that indicate that fall reproductive activity is the common reproductive strategy among viviparous lizards of the genus Sceloporus
Examining the Relationship between Financial Ratios and Stock Returns of Companies Listed on Tehran Stock Exchange (Chemical, Biotechnology Products and Non-metallic Minerals Industry)

In order to make their economic decisions, the investors of the market need information and part of the required information is provided through the company's financial reports. Financial ratios derived from the financial statements and analyzing them are considered as an important tool for assessing and making decision for investors. The study examines the relationship between the rate of earnings before interest and taxes, total debt to earnings before interest and taxes, stock market price to book value, dividends and earnings per share in non-metallic minerals industry and chemical products industries with stock returns in Tehran Stock Exchange. The population of the study consisted of 15 companies and to test the hypothesis, E-views software was used. The results showed that only the ratio of total debt to earnings before interest and taxes have a positive and significant relationship with stock returns, but other ratios have a significant relationship with stock returns.
Integration patterns in host societies analysed on the basis of alphabet book content for Russian schools in limitrophe states in the first third of the twentieth century

ABSTRACT This paper examines the content of alphabet books published for Russian-speaking children in Latvia, Estonia and Poland in the 1920s and explains the nexus between socio-cultural context and representation of social environment and children’s interactions to explore strategies of adaptation offered to children. The textbooks were quantified using a target codifier. The results are embedded in the context of theories of intergenerational cultural transmission and integration of minorities. The textbooks published for Russian-speaking children in Poland and Estonia exemplify a classical postfigurative type of intergenerational transmission to ensure group cohesion protecting against assimilation. The model of transmission in alphabet books published in Latvia is based on encouraging a child to establish values and guidelines independently. Thus, Latvian alphabet books allow a child to join a network of tenuous relationships for integration into the dominant culture. Therefore, the study provides a retrospective of strategies of Russian-speaking minorities’ consolidation and integration into dominant societies.
Dynamic Load Balancing Algorithm for Cloud Data Centers

---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Storage device technologies are rapidly adapting to meet the ever-increasing demands by the users. Nowadays, users need high speed and low-cost storage options even for home applications. To cater this demand, researchers have come up with a hybrid storage system, where the frequently accessed data like operating system files, user’s program files, and others are stored on solid state drives (SSDs), while the non-frequently used data, like videos, documents, music and everything else is stored on normal hard disk drives (HDDs). In order to obtain better efficiency in terms of load balancing and task scheduling, researchers have proposed Dynamic and Integrated resource scheduling (DAIRS) algorithm for non-hybrid storage systems. In this work, we propose to implement the DAIRS algorithm for hybrid storage systems, and consider the nuances like intra-differences in read and write cycle times for different storage types, caching high frequency data from for low speed storage, and others. This work aims to improve the efficiency of the existing load balancers and task schedulers for hybrid systems, and provide a system which is robust and can be used for real time hybrid systems.
Synopsis of the Genus Burmeistera (Campanulaceae: Lobelioideae) in Peru

The southern distributional limit of Burmeistera has long been obscured by the inclusion in that genus of several disharmonious elements from central and southern Peru. Of the six Peruvian species that have previously been assigned to Burmeistera, only B. ramosa is retained in that genus. The recent collection of B. microphylla brings the number of Peruvian species of Burmeistera to two. The southernmost stations known for these two species, and thus the genus as a whole, are at approximately 5'50'S in San Martin Department of northern Peru. Burmeistera Triana is a well-delimited neotropical genus of Lobelioideae distinguished from other baccate-fruited genera by the combination of oblong or linear seeds, oblique and distally open anther tubes, and mostly nonbracteolate pedicels. The typically distorted, greenish to maroon corollas make the genus easily recognizable in the field. However, complex morphological patterns, in particular extreme local differentiation, render it taxonomically challenging at the species level. Burmeistera is found primarily in montane wet forests from Chiapas, Mexico south to Venezuela and Peru, with its center of diversity in the Andes of Colombia and Ecuador. The southern distributional limits of the genus have been problematic, owing to the questionable inclusion of several central and southern Peruvian taxa. This paper clarifies the status of Burmeistera in Peru and establishes its currently known southern lim-