Miracle-dz/UniFAR-FTUs huggingface dataset:
STUDY ON SIGNAL INDUCED EXPRESSION OF COLD TOLERANCE IN EDIBLE LILY IN ALPINE ENVIRONMENT

The objective of this experiment was to study the differentially expressed proteins and genes of edible lily in alpine environment, and to provide a better growth environment for edible lily. The edible lily of Heilongjiang Province, China, was selected as the object of the study. The samples were divided into two groups. The first group grew normally in the artificial climate box; the second group was treated at 4°C for 16 hours after spraying with Abscisic Acid (ABA) hormone, and the second group included edible lily No. 1 and edible lily No. 2. The total protein of one leaf was extracted by the trichloroacetic acid-acetone method and the differential protein spots of edible lily were analyzed by DeCyder software. The leaf genes of two edible lilies were extracted based on cold-resistant gene primer design. The results showed that alpine environments could induce energy metabolism, fatty acid metabolism, photosynthesis and signal transduction of differential proteins in edible lily; exogenous ABA could promote Coscisic Rirna (COR) gene expression by activating transcription factors dependent on ABA signaling pathway, and to some extent, it promotes the expression of cold resistance genes in signal pathways independent of ABA, and improves the cold resistance of edible lily.
A Systematic Review and Meta-Analysis of the Proportion and Antimicrobial Susceptibility Pattern of Escherichia coli O157:H7 from Different Human Foods in Ethiopia

Background: Escherichia coli O157: H7 is shiga toxinproducing Escherichia coli which is recognized as an important cause of diarrhea, hemorrhagic colitis and hemolytic-uremic syndrome worldwide. The aim of this systematic review and meta-analysis is to assess the burden of Escherichia coli O157:H7 and its antibiotic resistance pattern in different foods in Ethiopia. Methods: The literature search was conducted to identify all published articles reporting the proportion and antimicrobial susceptibility pattern of shiga toxin producing Escherichia coli O157:H7 in foods. From all screened articles, 21 studies were eligible for i¬A‚Ânal systematic review and meta-analysis. Statistical analysis was done by using STATA14 software. Results: The pooled proportion of Escherichia coli O157:H7 is 0.05 (95% CI, 0.04 to 0.07%). Moreover, Shiga toxin-producing Escherichia coli strains were found to be highly resistant to Chloramphenicol, Tetracycline, Erythromycin and Streptomycin, with a pooled resistance ratio of 79.72, 63.44, 52.65, and 50.77%, respectively. On the other hand, comparably low levels of resistance ratio were noted to Nitrofurantoin 7.54% and Norfloxacin 9.72%. Conclusion: The overall burden of Escherichia coli O157:H7 is low. However, it indicates the probability of food contamination by Escherichia coli O157:H7. And, E. coli O157:H7 showed resistance to Chloramphenicol, Tetracycline, Erythromycin and Streptomycin.
Effects of individuation and grouping on face representations in the visual cortex

Top-down signals can influence our visual perception by providing guidance on information processing. Especially, top-down control between two basic frameworks, “Individuation” and “grouping”, is critical for information processing during face perception. Individuation of faces supports identity recognition while grouping subserves higher category level face perception such as race or gender. However, it still remains elusive how top-down dependent control between individuation and grouping affects cortical representations during face perception. Here we performed an fMRI experiment to investigate whether representations across early and high-level visual areas can be altered by top-down control between individuation and grouping process during face perception. Focusing on neural response patterns across the early visual cortex (EVC) and the face-selective area (the fusiform face area (FFA)), we found that the discriminability of individual faces from the response patterns was strong in the FFA but weak in the EVC during the individuation task whereas the EVC but not the FFA showed significant face discrimination during the grouping tasks. Thus, these findings suggest that the representation of face information across the early and high-level visual cortex is flexible depending on the top-down control of the perceptual framework between individuation and grouping.
Corporate taxation and investment of multinational firms

This paper explores the effect of corporate taxes on the investment of multinational enterprises (MNEs), and whether this effect differs across MNE groups depending on their profitability rate. Firm-level analysis conducted on a cross-country panel of MNE entities confirms the earlier finding that MNE investment in a jurisdiction is negatively affected by effective corporate tax rate increases in that jurisdiction. The analysis also suggests that the tax sensitivity of MNE investment differs across entities belonging to different MNE groups, with a U-shape relationship between tax sensitivity and MNE group profitability. Entities belonging to groups with negative profitability or relatively high profitability rates are found to be relatively less sensitive than those belonging to groups with lower but positive profitability rates. For example, the estimated tax sensitivity of firms in MNE groups with a profitability rate above 10% is found to be nearly half the sensitivity of a firm in an MNE group with a profitability rate between 0% and 10%. This has implications with regard to the tax reform proposals currently under discussion by the OECD/G20 Inclusive Framework on BEPS, as this suggests that highly profitable MNE groups, which are more likely to be impacted by the proposals, may be less sensitive to taxes in their investment behaviour than the typical MNE.
Identification of Sexual Behavior in Community at Risk of Oral Human Papillomavirus Infection

Background: Human Papillomavirus (HPV) is a virus that commonly associated with malignancy in the oral cavity. Most deaths from head and neck cancer are caused by HPV. The virus can infect the oral cavity due to the sexual behavior of male homosexuals. Objective: To identify sexual behavior in communities at risk for HPV infection in the oral cavity based on age, sex, education level, occupation, HIV status, marital status, and social support. Method: This was an observational cross-sectional analytic study conducted in Surabaya with sample criteria of individuals who are homosexuals. Data collection was carried out through questionnaires and patient medical records to see HIV status. Results: There were 70 samples, 53 people having sexual intercourse with the same gender and 17 people having sex with the same gender and the opposite gender. Individuals in this study tended to have good sexual knowledge, supportive attitudes for risky sexual intercourse and high-risk actions when having sexual relations, such as changing partners, not using contraception, doing sex more than once a day and doing oral and anal sex when having sex. Sex, marital status, HIV status, occupational status, education level, and individual social support contributed to shaping individual behavior during sexual intercourse. Conclusion: There are factors that have a great contribution to form sexual behavior. In this study, occupational status is a one of contributing factor which can form the sexual behavior because, in this study, most of the respondents were sex workers so they had high-risk sexual behavior.
Towards a Scalable Architecture for Smart Villages: The Discovery Phase

Alleviating poverty, reducing inequality, and achieving economic prosperity and well-beingis a global challenge. The spread and quantum of this daunting challenge calls for a scalable solution.The aim of the ‘Scalable Architecture for Smart Villages’ project is to contribute to an eective solutionwhich addresses scale as well as customization. In order to achieve both in our new framework forsmart villages, we take an endogenous approach. This approach emphasizes learning which will createa catalytic eect for scale. Learning is an essential component in the process, both for the researchersas well as members of the community. With these principles in mind, our approach proceeds in fourphases, namely discovery, planning, resourcing and executing. In this paper we outline the discoveryphase, which will lay the foundation for developing our framework of scalable smart villages.The Discovery Phase is a research process where the community learns about itself and the researcherslearn about the underlying factors that can help uplift and develop a smart village. Using conventionalqualitative and quantitative research methodology, the researchers and the community will generatebaseline data which will help calibrate villages for future development into smart villages.
LOW-COST COMB-LINE-FED MICROSTRIP ANTENNA ARRAYS WITH LOW SIDELOBE LEVEL FOR 77 GHZ AUTOMOTIVE RADAR APPLICATIONS

In this paper, we design and fabricate a side lobe comb-line fed microstrip antenna array at the frequency of 77 GHz. This antenna can be used in car and also in peripheral protection radars. To design the antenna, a radiating microstrip element on a simple sublayer is first designed and optimized in order to have desirable specification at 77 GHz. Secondly, a one-dimensional array is formed using a row of microstrip antenna array with 32 serried elements. Finally, a two-dimensional antenna array with 16 rows is fabricated and subsequently fed with a waveguide to complete the antenna design.
Predicting Network Flow Characteristics Using Deep Learning and Real-World Network Traffic

We present a processing pipeline for flow-based traffic classification using a machine learning component leveraging Deep Neural Networks (DNNs). The system is trained to predict likely characteristics of real-world traffic flows from a campus network ahead of time, e.g., a flow’s throughput or duration. Training and evaluation of DNN models are continuously performed on a flow data stream collected from a university data center. Instead of the common binary classification into “mice” and “elephant” (throughput) or “short-term” and “long-term” (duration) flows, predicted flow characteristics are quantized into three classes. Various communication contexts (subset of network traffic, e.g., only TCP) and flow feature groups (subset of flow features, e.g., only a flow’s 5-tuple), which are supported through an enrichment strategy, are considered and investigated. An in-depth description of the data acquisition process, including preprocessing steps and anonymization used to protect sensitive information, is given. Additionally, we employ an accelerated variant of t-distributed Stochastic Neighbor Embedding (t-SNE) to visualize network traffic data. This enables the understanding of traffic characteristics and relations between communication flows at a glance. Furthermore, possible use-cases and a high-level architecture for flow-based routing scenarios utilizing the developed pipeline are proposed.
A neuromechanistic model for rhythmic beat generation

When listening to music, humans can easily identify and move to the beat. Numerous experimental studies have identified brain regions that may be involved with beat perception and representation. Several theoretical and algorithmic approaches have been proposed to account for this ability. Related to, but different from the issue of how we perceive a beat, is the question of how we learn to generate and hold a beat. In this paper, we introduce a neuronal framework for a beat generator that is capable of learning isochronous rhythms over a range of frequencies that are relevant to music and speech. Our approach combines ideas from error-correction and entrainment models to investigate the dynamics of how a biophysically-based neuronal network model synchronizes its period and phase to match that of an external stimulus. The model makes novel use of on-going faster gamma rhythms to form a set of discrete clocks that provide estimates, but not exact information, of how well the beat generator spike times match those of a stimulus sequence. The beat generator is endowed with plasticity allowing it to quickly learn and thereby adjust its spike times to achieve synchronization. Our model makes generalizable predictions about the existence of asymmetries in the synchronziation process, as well as specific predictions about resynchronization times after changes in stimulus tempo or phase. Analysis of the model demonstrates that accurate rhythmic time keeping can be achieved over a range of frequencies relevant to music, in a manner that is robust to changes in parameters and to the presence of noise. Author summary Music is integral to human experience and is appreciated across a wide range of cultures. Although many features distinguish different musical traditions, rhythm is central to nearly all. Most humans can detect and move along to the beat through finger or foot tapping, hand clapping or other bodily movements. But many people have a hard time “keeping a beat”, or say they have “no sense of rhythm”. There appears to be a disconnect between our ability to perceive a beat versus our ability to generate a beat, as a drummer would do as part of a musical group. Generating a beat requires learning how to keep track of the specific time intervals between beats and then executing the motor movement needed to produce the sound associated with a beat. In this paper, we begin to explore neural mechanisms that may be responsible for our ability to generate and keep a beat. We develop a computational model that includes different neurons and shows how they cooperate to learn a beat and keep it, even after the stimulus is removed, across a range of frequencies relevant to music. Our dynamical systems model leads to predictions for how the brain may react when learning a beat. Our findings and techniques should be widely applicable to those interested in understanding how the brain processes time, particularly in the context of music.
The Combined Use of rHVT-H5 and rHVT-F Vector Vaccines in the Hatchery Enhances Immunity against Highly Pathogenic Avian Influenza H5N1 and Velogenic Newcastle Disease Viral Infections in Commercial Chickens

Highly pathogenic avian influenza H5N1 and Newcastle disease viral infections cause severe illness in chickens and vaccination is a strategic tool of controlling these diseases. Hence, this study was conducted to evaluate the efficacy of using both recombinant herpesvirus of turkey (rHVT-H5 and rHVT-F) vector vaccines at day-old, in the hatchery, under field conditions. Vaccinated chickens were challenged at 33 days of age with 100 µL containing 106 embryonated infective dose50 of either highly pathogenic avian influenza H5N1 or very virulent (velogenic) Newcastle disease viral strains through the intranasal route and monitored for 7 days for clinico-pathological changes. Tracheal and cloacal swabs and blood samples were also collected for determination of viral shedding using RT-PCR and immune responses using hemagglutination inhibition test. Absolute (100%) protection was recorded in vaccinated group against challenge with H5N1. In all time points, the challenge virus shedding was either not detected or greatly reduced in the trachea and the cloaca of vaccinated chickens compared to non-vaccinated, challenged chickens. Excretion of H5N1 challenge virus was not detected in the trachea of vaccinated birds at 3 and 5 days post-challenge and results of hemagglutination inhibition test revealed an average of 3.2 log2 titres at 5 days post-challenge. Protection achieved against challenge with very virulent Newcastle disease virus was 79%. There was 80-100% reduction in tracheal shedding at 3, 5, and 7 days post-challenge, and an average of 6.2, 6.0 and 6.4 log2 hemagglutination inhibition titres were recorded, respectively. Cloacal shedding of challenge Newcastle virus was greatly reduced in vaccinated groups compared to non-vaccinated, challenged chickens. These data support the efficacy of the combined use of rHVT-H5 and rHVT-F vector vaccines against highly pathogenic avian influenza and Newcastle disease viral infections under field conditions.
Diagnosis and treatment of mucocele in a pediatric patient: case report

ABSTRACT Mucocele is a benign lesion, originating from disorders of minor salivary glands containing mucus. These lesions are found in children and young adults and usually occur due to local trauma. Clinically, it presents as a circumscribed, asymptomatic, soft and bluish or normocromic blister. The treatment of choice is surgical removal, when the lesion does not rupture naturally. This study aims to report a clinical case of mucocele in a pediatric patient removed through total surgical excision. A 7-year-old patient accompanied by mother sought care at the Dentistry Clinic of the “Tiradentes” University Center (UNIT / AL), with a main complaint of asymptomatic blister in the lower lip for about 15 days. In the anamnesis, the habit of biting in the region was reported. At clinical examination, a blister with clear limits of approximately 10 mm in diameter was observed in the lower lip mucosa, with slightly firm/fibrous consistency, which gave rise to doubts about the possible diagnosis, since it presented characteristics similar to that of a mucocele, although consistency at palpation indicates possible fibroma. Surgical excision of the lesion was performed; the material collected was fixed in 10% formalin and sent to histopathological examination that confirmed the diagnosis of mucocele. The patient was kept on follow-up, and there was no recurrence of the lesion. Surgical excision demonstrated an effective and prognostic therapeutic course, allowing accurate diagnosis through the histopathological evaluation of the lesion.
To share or not to share: an explorative study of health information non-sharing behaviour among Flemish adults aged fifty and over

Introduction. This study explores health information non-sharing behaviour in everyday social settings and interactions. The novelty and relevance of the study lies in the fact that it explores a common yet understudied information behaviour, as very few studies have examined information non-sharing. Method. Forty qualitative in-depth interviews were held in Flanders, the Dutch-speaking northern part of Belgium, with adults between the ages of fifty and eighty. Analysis. A contextual framework was drawn from information studies and health information and communication research, consisting of the concepts of health orientation, information avoidance, uncertainty management, to help understand health information non-sharing. Thematic analysis was employed to identify reasons for non-sharing behaviour. Results. Seven key themes or reasons emerge for health information non-sharing behaviour; health as a non-topic, avoid being labelled as ill, individual responsibility, avoid burdening others, lack of trust in others, lack of trust in the internet, and avoiding information overload. Conclusions. This study is not only more nuanced than earlier work on sharing behaviour, but also leads to new questions about outcomes of health information non-sharing. The findings further illuminate 'non-information behaviour' within information studies, while also offering insights relevant to health communication researchers and healthcare practitioners.
Comparisons of day-time and night-time hydroacoustic surveys in temperate lakes

In recent years, due to an increased need for non-intrusive sampling techniques, hydroacoustics has attracted attention in fishery science and management. Efforts to promote standardisation are increasing the accuracy, efficiency, and comparability of this method. The European Water Framework Directive and the Standard Operating Procedures for Fisheries Hydroacoustic Surveys in North American Great Lakes has recommended that surveys be conducted at night. At night, fish usually disperse in the water column, thus allowing for single echo detection and subsequent accurate fish size estimation, while day-time schooling behaviour hampers the estimation of fish size. However, sampling during the day would often be safer and cheaper. This study analyses how fisheries hydroacoustic results differ between day-time and night-time surveys, using data from 14 natural temperate lakes of various size. Data collected during the day and night at two depth layers linked to thermal stratification were compared in terms of acoustic scattering strength, target strength, and biomass estimates. The results showed a significant correlation between day-time and night-time estimates, though biomass in the upper layer was biased for day-time surveys, mainly due to incorrect fish size estimates resulting from rare single echo detections and schooling behaviour. Biomass estimates for the lower depth layer did not significantly differ between the two diel periods. Thus, this study confirms that hydroacoustic sampling in temperate lakes should be performed at night for accurate fish stock biomass estimates.
Exploring the limits of a hybrid actuation system through Co-Design

This letter assesses the energy efficiency of a hybrid actuation architecture combining Geared Motors (GMs) and Series Elastic Actuators (SEAs) by comparing its energy consumption to GM and SEA alone. We consider this comparison for two robotic systems performing different tasks. Our results show that using the hybrid actuation we can save up to 98% of energy with respect to SEA for sinusoidal movements. This efficiency is achieved by exploiting the coupled dynamics of the two actuators, resulting in a latching-like control strategy. We also show that these large energy savings are not straightforwardly extendable to nonsinusoidal movements, but smaller savings (e.g., 7%) are nonetheless possible. The presented results were obtained thanks to the framework of concurrent design (co-design), namely the simultaneous optimization of hardware parameters and control trajectories. This shows that the combination of complex hardware morphologies and advanced numerical co-design can lead to peak hardware performance that would be unattainable by human intuition alone.
Zirconium interferences on the detection of silver nanoparticles by single particle ICP-MS: implications on natural water analysis

Background: The analysis of silver nanoparticle (NP-Ag) by the single particle technique with argon plasma-coupled mass spectrometry (SP-ICP-MS) is an increasingly used analytical approach. The sensitive technique, distinguishing particle size distribution, allows working at concentrations similar to those found in environmental samples. The two natural Ag isotopes 107 and 109, with abundances of 52 and 48% respectively, have similar sensitivity in ICP-MS detection. However, it is common to encounter isobaric interferences in mass spectrometry, and the element silver is not an exception, as much with the 107 isotope as 109. For both isotopes, zirconium oxides present isobaric interferences, either 91Zr16O, 90Zr16O1H for the isotope 107 and the 92Zr16O1H for the 109. Results: For surface water analysis by ICP-MS in regular technique, these interferences do not generally impact the analysis of total Ag concentrations (mainly dissolved) as they can be then simply subtracted like background signal. On the other hand, detection of NPAg was impacted by the interfering colloidal Zr. The analysis of Zr by the SP-ICP-MS technique of surface waters showed the presence of colloidal Zr, a random signal that cannot be simply subtracted from NP Ag signal. Our results show that, Zr colloids are effectively interfering with the NP-Ag assays by SP-ICP-MS technique where interferences translated into a false positive. Conclusion: The analytical issue related isobaric interferences from the naturally occurring colloidal Zr was attenuated (up to 250% in this assay) by the use of the 109 isotope in the Ag detection, limiting false positive detections and improving the reliability of NP-Ag measurements in natural waters. Therefore , more specific detection of NP Ag in surface waters that naturally contain Zr colloids can be accomplished.