Miracle-dz/UniFAR-FTUs huggingface dataset:
A note on the detection of the neurotoxin domoic Acid in beAch-strAnded DosiDicus gigas in the southern cAliforniA bight

The first occurrence of the neurotoxin domoic acid (DA) in Humboldt squid (Dosidicus gigas) during a toxic Pseudo-nitzschia bloom in the Southern California Bight is reported. Bloom levels of cells within the Pseudonitzschia delicatissima group were detected on 6 July 2009 at 4 nearshore collection sites in the Southern California Bight (Scripps Pier, Newport Pier, Goleta Pier and Sterns Wharf). Particulate DA was detected in all of these locations, except for Newport Pier. Stranded Humboldt squid were found south of the Scripps pier 5 days after the toxic bloom was detected. DA was measured using ELISA and low DA concentrations were detected in the stomach or mantle tissue of the stranded specimens. Stomach content analysis indicated that possible DA vectors to Humboldt squid included both pelagic (Pacific hake, Merluccius productus, and Pacific sardine, Sardinops sagax) and nearshore (pile surfperch, Damalichthys vacca, and shiner surfperch, Cymatogaster aggregata) fish species. Although low DA levels were detected in stranded squid specimens, neurological symptoms of DA toxicity were not observed and low DA concentrations alone may not have been the cause of the strandings. Further studies should focus on DA toxic effects in D. gigas to verify whether this pelagic predator can be affected by a toxin frequently detected in pelagic ecosystems influenced by the California Current System.
Fertility Differentials in Kenya: The Effect of Female Migration

This study uses the Kenya Demographic and Health Survey (KDHS) data conducted in 1988/89.The hypothesis of the paper is that women who migrate tend to maximise their other lifetime aspirations at the expense of their reproductive roles and performance. That is, female migrants are involved in behaviours and practices that negatively influence fertility relative to non-migrants. The analysis shows that through the influence of migration on fertility, reproductive behaviour and performance is modified; migration is a mechanism through which the changes observed in fertility behaviour and levels can be explained. The influence of migration on fertility levels is estimated using two procedures: the comparison of the mean CEB and multivariate analysis. The study demonstrated that there is an inverse relationship between migration and the number of children ever born.
The impact of feed treatment on the performance of broilers : A review

Commonly used treatments of poultry feed, such as pelleting, expanding or extrusion increase the physical density of the feed and lead to increased feed intake, reduced time spent feeding, improved growth rate and improved feed to gain ratio. Subsequently, improved feed conversion and better performance can often be observed when feeding processed diets compared to mash. Other benefits of thermal treatment include the ease of handling the finished product, improved hygienic status of the feed, and reduced anti-nutritional factors. Besides the mechanic forces of processing, feed is also exposed to heat and steam as conditioning procedures. The amount and duration of heat and moisture applied while processing feed can have a significant effect on the availability of crude protein, amino acids, starch, fat, vitamins and feed additives. The effectiveness of feed processing on nutrient digestibility is also determined by the ingredients and their thermolability. There is a tradeoff between the control of feed borne diseases and digestibility of nutrients. Treatment conditions which reliably reduce harmful micro-organisms may have an adverse effect on digestibility and performance. Short time exposure of the feed to high temperature improves the hygienic status of the feed with limited impact on nutrient digestibility.
ConfigFile++: Automatic comment enhancement for misconfiguration prevention

Nowadays, misconfiguration has become one of the key factors leading to system problems. Most current research on the topic explores misconfiguration diagnosis, but is less concerned with educating users about how to configure correctly in order to prevent misconfiguration before it happens. In this paper, we manually study 22 open source software projects and summarize several observations on the comments of their configuration files, most of which lack sufficient information and are poorly formatted. Based on these observations and the general process of misconfiguration diagnosis, we design and implement a tool called ConfigFile++ that automatically enhances the comment in configuration files. By using name-based analysis and machine learning, ConfigFile++ extracts guiding information about the configuration option from the user manual and source code, and inserts it into the configuration files. The format of insert comment is also designed to make enhanced comments concise and clear. We use real-world examples of misconfigurations to evaluate our tool. The results show that ConfigFile++ can prevent 33 out of 50 misconfigurations.
Fast Parallel Recovery of Many Small In-Memory Objects

Social media networks as well as online graph analytics operate on large-scale graphs with millions of vertices, even billions in some cases. Low-latency access is essential, but caching suffers from the mostly irregular access patterns of the aforementioned application domains. Hence, distributed in-memory systems are proposed keeping all data always in memory. These in-memory systems are typically not optimized for the sheer amounts of small data objects, which demands new concepts regarding the local and global data management as well as for the fault-tolerance mechanisms to mask server failures and power outages. In this paper, we propose a novel backup distribution and parallel recovery approach aiming at fast recovery of servers storing hundreds of millions of small objects. All proposed concepts have been implemented within the open source distributed system DXRAM and have been evaluated in the Microsoft Azure cloud with up to 72 high performance virtual machines in two scale-sets. For evaluation, we used two benchmarks: the Yahoo! Cloud Serving Benchmark and a recovery benchmark. The experiments show that the proposed recovery strategy is able to recover servers with 500,000,000 small data objects in less than 2 seconds and, also, to ef? ciently mask server failures under heavy load. Furthermore, DXRAM outperforms the state-of-the-art system RAMCloud in additional recovery experiments with large objects (2.4x faster) and even more with small objects (> 9x).
Characteristics of Malaysian highly cited papers

Highly cited papers serve as a proxy for excellence. In this paper, we identify Malaysia’s highly-cited papers and explore the characteristics of these papers. The research question posed is “What characterizes Malaysian highly cited papers? ” This study adopts the definition by Thomson Reuters Essential Science Indicator, i.e. the highly cited papers are papers that received enough citations to be placed in the top 1 percent of the academic field of each 22 subject areas based on a highly cited threshold for the field and publication year. As a small scientific nation, Malaysia has a rather limited number of papers being highly cited, and we observed nine characteristics of highly cited papers based on 708 datasets obtained from the Web of Science. Malaysian highly cited papers are largely represented by articles, but reviews have higher impact. Typically, these papers have a low self-cited index and they are published in the First Quartile of the science discipline publications. The papers are mainly the outcome of national funded research; involve multiple co-authorship and international collaboration; affiliated to Malaysian research universities and Malaysian authors often play a dominant role as first or reprint authors. Partnership with scientists from Iran, Australia and UK may increase markedly the possibility of a Malaysian paper becoming highly cited. This investigation has shown that these are the characteristics of Malaysian highly cited papers, but to what extent can these be used as indicators need further investigation and discussions among the scientific community.
The EPICS Based Control System at the FREIA Laboratory

FREIA (Facility for REsearch and Instrumentation for Accelerator development) Laboratory at Uppsala University, Sweden, is a new facility, inaugurated 2013. Initially FREIA is testing and developing superconducting accelerating cavities and high power RF sources in collaboration with the European Spallation Source (ESS). Later projects include testing of superconducting cavities and magnets for the high luminosity LHC. The high level control, alarm system and archiving is implemented in EPICS. Presently this includes a helium liquefaction plant, a horizontal test cryostat, two high power RF amplifiers, a low level RF system, environment monitoring and safety systems. Some attention will be given to integration of commercially acquired systems as well as the safety system, interlocks and radiation monitoring. The implementation of the EPICS environment follows closely that of ESS and thus can provide a test bench for developments at ESS.
Development of a reader device for fully passive wireless sensors

The zero power sensor network represents a platform that enables fully passive wireless sensing based on the third order intermodulation principle. This work describes the development and evaluation of a zero power reader device. Results from the initial characterization are presented for the evaluation of the reader's performance in sensor readout at a distance of 5 m. The limitations affecting the readout range are investigated and highlighted to be based on the reader's self-intermodulation.
Malathion-induced endocrine disruption leads retardation in fish growth

Abundant reports on stunted growth in fishes following pesticides exposure are available; however, mechanism underlying it is rarely studied. Since hormones are well known to play vital role in regulation of metabolic activities and general body growth, present study was conducted to investigate the effects of malathion (an organophosphorous pesticide) on metabolic hormones, responsible for promotion of body growth as well as somatic and ovarian growth of the freshwater catfish, Clarias batrachus. Malathion treatment drastically reduced the body weight as well as food intake. Malathion-treated catfish exhibited avoidance to food to a great degree. This pesticide also suppressed the secretions of thyroxine (T 4 ), triiodothyronine (T 3 ), growth hormone (GH), insulin like growth factor-I (IGF-I), testosterone (T) and estradiol-17â (E 2 ) significantly, in a dose dependent manner, in general, except that the low dose of malathion increased the secretion of growth hormone. Significant reduction in muscle and hepatic protein content was also noted in malathion-treated fish. Malathion induced lipolysis in liver and muscle. Study, thus, revealed that malathion disrupted the entire endocrine mechanism and olfactory sensation responsible for gustatory feeding behavior, food intake and metabolism, which ultimately resulted in retardation in general growth.
Investigation of SAR Reduction Using Flexible Antenna With Metamaterial Structure in Wireless Body Area Network

A flexible dual-band antenna with a metamaterial structure (MS) is presented. Polyimide substance, which makes the antenna thin and bendable, is used as the substrate for the antenna. When the MS is placed between the antenna and the human’s forearm, the antenna gain is increased by 9.3 and 5.37 dB, and the radiation efficiency is increased by 48.4% and 35.7%, at 2.45 and 5.8 GHz, respectively. In addition, the specific absorption rate is decreased by more than 70%, considering the limitations imposed by Federal Communications Commission and the regulation of International Commission on Non-Ionizing Radiation Protection (ICNIRP) for the frequencies cited above. The fabricated prototype of the antenna with the integrated MS was investigated by placing it on different places of human body, as also on different human bodies. The obtained results show that the proposed antenna is safe and suitable for use, in terms of the ICNIRP standards of World Health Organization.
Simultaneous measurement of neuronal activity and cortical hemodynamics by unshielded magnetoencephalography and near-infrared spectroscopy

Abstract. The correlation between neuronal activity and cortical hemodynamics, namely, neurovascular coupling (NVC), is important to shed light on the mechanism of a variety of brain functions or neuronal diseases. NVC can be studied by simultaneously measuring neuronal activity and cortical hemodynamics. Consequently, noninvasive measurements of the NVC have been widely studied using both electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). However, electromagnetic interference between EEG and fMRI is still a major problem. On the other hand, near-infrared spectroscopy (NIRS) is another promising tool for detecting cortical hemodynamics because it can be combined with EEG or magnetoencephalography (MEG) without any electromagnetic interference. Accordingly, in the present study, a simultaneous measurement system—combining an unshielded MEG using a two-dimensional gradiometer based on a low-Tc superconducting quantum interference device (SQUID) and an NIRS using nonmagnetic thin probes—was developed. This combined system was used to simultaneously measure both an auditory-evoked magnetic field and blood flow change in the auditory cortex. It was experimentally demonstrated that the combined unshielded MEG/NIRS system can simultaneously measure neuronal activity and cortical hemodynamics.
associations between the built environment and activity among older people in 20 towns.

background Policy initiatives such as WHO Age Friendly Cities recognise the importance of the urban environment for improving health of older people, who have both low physical activity (PA) levels and greater dependence on local neighbourhoods. Previous research in this age group is limited and rarely uses objective measures of either PA or the environment. Methods We investigated the association between objectively measured PA (Actigraph GT3x accelerometers) and multiple dimensions of the built environment, using a cross-sectional multilevel linear regression analysis. Exposures were captured by a novel foot-based audit tool that recorded fine-detail neighbourhood features relevant to PA in older adults, and routine data. results 795 men and 638 women aged 69–92 years from two national cohorts, covering 20 British towns, were included in the analysis. Median time in moderate to vigorous PA (MVPA) was 27.9 (lower quartile: 13.8, upper quartile: 50.4) minutes per day. There was little evidence of associations between any of the physical environmental domains (eg, road and path quality defined by latent class analysis; number of bus stops; area aesthetics; density of shops and services; amount of green space) and MVPA. However, analysis of area-level income deprivation suggests that the social environment may be associated with PA in this age group. Conclusions Although small effect sizes cannot be discounted, this study suggests that older individuals are less affected by their local physical environment and more by social environmental factors, reflecting both the functional heterogeneity of this age group and the varying nature of their activity spaces.
Adolescent Sleep: Review of Characteristics, Consequences, and Intervention

Adolescent Sleep: Review of Characteristics, Consequences, and Intervention Inadequate sleep is a pervasive problem among adolescents. This paper reviews the characteristics of adolescent sleep patterns, the negative consequences of poor sleep, and the interventions that target disrupted sleep among adolescents. Review of the literature suggests that systematic assessment and implementation of outpatient and school-based interventions are infrequent for this population, and in general provide mixed findings with regard to improvement of overall sleep quality. Existing barriers for implementation of intervention are discussed, and suggestions for improving interventions via inclusion of motivational interviewing techniques, skills building, and “hands-on” approaches through group activities are provided.
Security-Aware Network Analysis for Network Controllability

Although people use critical, redundant and ordinary categories to concisely distinguish the importance of edges in maintaining controllability of networks in linear time-invariant (LTI) model, a specific network analysis is still uncertain to confirm edges of each category for further edge protection. Given a large, sparse, Erdős-Rényi random digraph with a precomputed maximum matching in LTI model as an input network, we address the problem of efficiently classifying its all edges into those categories. By the minimal input theorem, classifying an edge into one of those categories is modeled into analysing the number of maximum matchings having it, while it is solved by finding maximally-matchable edges via a bipartite graph mapped by the input network. In the worst case, entire edge classification is executed in linear time except for precomputing a maximum matching of the input network.
Microring resonator arrays for VLSI photonics

The analytic theory governing the complete scattering response of two-dimensional (2-D) microring resonator arrays is developed, The method is applicable to arbitrary interconnections of general four-port, single polarization nodes. An 8/spl times/8 cross-grid array of vertically coupled glass microring resonators is fabricated for test purposes.
SINAI at TAC-KBP BeST 2017: evaluating the impact of modal verbs in the classification of beliefs

The aim for SINAI group is twofold in the task of belief clas-siﬁcation for English. On one hand, we continue with the development of a hierarchical Bayesian model as a formalism to describe and classify categories, and its comparison with other popular classiﬁcation algorithms. On the other hand, since the belief-sentiment annotation guidelines high-light the leverage of modal verbs, ﬁrstly, we have studied the distribution of this verbs over the corpus and, secondly, those events and relations that are under the scope of a modal verb have been accordingly labelled. We have found that this issue does not increase the performance of the classiﬁers. Since we have found that the scope of modal verbs and the category of the corresponding facts are correlated, it is necesary a more in-depth analysis of the results and possibly a more ﬁne-grained classi-ﬁcation of modal verbs. For example, by making explicit the distinction between deontinc and epistemic senses of such verbs.
Comparison of Coaxial Magnetic Gears With and Without Magnetic Conducting Ring

This paper quantitatively compares four coaxial magnetic gears (CMGs) with and without magnetic conducting ring (MCR), which are artfully integrated into a permanent-magnet (PM) machine. In addition, different gear ratios are investigated for both topologies. By using the finite-element method, their torque and loss performances are compared and evaluated. Analysis results show that the CMGs without MCR and low gear ratio can offer higher pull-out torque and lower torque ripple, whereas the CMGs with MCR and low gear ratio have lower PM eddy current and iron loss. Finally, a 9/6 slot-pole CMG machine without MCR is prototyped for verification.
Evaluation of the Canadian Aerobic Fitness Test with 10- to 15-Year-Old Children

The objective of this study was to evaluate the utility of the Canadian Aerobic Fitness Test (CAFT), a field measure of cardiovascular fitness. After providing anthropometric measures, 31 subjects, ages 10 to 15, completed a maximal treadmill test and the CAFT, a 3-stage step test. Multiple regression analyses were conducted where maximal oxygen consumption from the treadmill test was estimated based on the oxygen cost of stepping, age and various combinations of body composition. For the total sample, the best model (R = 0.79, SEE = 6.7), obtained from the sum of 4 skinfolds, was the body composition estimate. This model was slightly more accurate for males (R = 0.83, SEE = 6.0) than for females (R = 0.77, SEE = 7.0). When the regression equation incorporated less time consuming indicators of body composition, the predictive power, albeit lower, was still satisfactory. It appears that the CAFT can be a useful option for measuring cardiovascular fitness for youth, with the decision dependent on the purpos.
Web application firewall using character-level convolutional neural network

Web applications can be maliciously exploited by malicious HTTP requests. Normally, web application firewall (WAF) protects web applications from known attacks using pattern matching method. However, introduction of WAF is usually expensive as it requires the definition of patterns according to the situation. Furthermore, the system cannot block unknown malicious request. In this paper, we come up with an efficient machine learning approach to solve these issues. Our approach uses Character-level convolutional neural network (CLCNN) with very large global max-pooling for extracting the feature of HTTP request and identify it into normal or malicious request. We evaluated our system on HTTP DATASET CSIC 2010 dataset and achieved 98.8% of accuracy under 10-fold cross validation and the average processing time per request was 2.35ms.
Faithful Representation

Statement of Financial Accounting Concepts No. 8 challenges accounting research to provide techniques for empirically measuring faithful representation apart from relevance, that is, to disentangle between the two characteristics of useful financial information. Addressing this call, we introduce a new comprehensive and context-free metric for measuring faithful representation. Using this metric, we find that low levels of faithful representation only marginally influence the value relevance of financial information. However, investors find low level of faithful representation to be valuedecreasing. The evidence suggests that the two fundamental characteristics of useful financial information are independent, with a marginal mutual impact. Additional findings indicate that non-recurring accounting estimates (e.g., restructuring costs, inprocess research and development) impede the faithful representation more than recurring estimates (e.g., depreciation, doubtful receivables).
ow-cost , easy-to-prepare magnetic chitosan microparticles for nzymes immobilization

Extremely simple procedures for the preparation of magnetic chitosan enzyme carriers have been developed and used for the immobilization of lipase and -galactosidase as model enzymes. In the first case commercially available magnetite microparticles were entrapped in chitosan gel, while in the second case magnetic iron oxides microparticles were synthesized in chitosan matrix from ferrous sulfate using vailable online 18 April 2013