Miracle-dz/UniFAR-FTUs huggingface dataset:
The Status of Faculty Status for Academic Librarians :A Twenty-Year Perspective

In 1990, data on the employment status of librarians was collected from two groups of academic libraries in higher education-a random sample of all institutions in the United States and all academic members of the Association of Research Libraries. This data provides a twenty-year retrospective of librarians' status and indicates that 67 percent of higher education institutions grant them faculty status. In general, faculty status for librarians has been vigorously expanded during the same period, though the process has slowed in recent years. Understandably, librarians with faculty status evince perquisites similar, but not identical to, teaching faculty
Demographic survey and management outcome of Post-Neonatal Tetanus at the Ekiti state university teaching hospital, Ado Ekiti

Background: Tetanus continues to threaten the survival of children in spite of it being a vaccine preventable disease. The objective of this study was to determine the prevalence of post-neonatal tetanus, review the vaccination of aff ected children, complications encountered and the outcome among aff ected children in a tertiary health institution in southwestern Nigeria. Methods: The study was a retrospective study. Case notes of children outside neonatal life admitted to the Paediatric ward with clinical diagnosis of tetanus between January 2012 and October 2018 were retrieved and evaluated to identify socio-demographic and clinical characteristics. A review of the immunization history and cards was done where the immunization cards were available. Results: 21children with post-neonatal tetanus were admitted over a period of six years (November 2012 to October 2018) with a prevalence of 0.3%. The M:F was 3.2:1. The mean age in years was 10.14 ±3.44 while the age range of the subjects was 4 to 16years. None of the patients had booster doses of tetanus toxoid (TT) outside the infancy period. Nine (42.9%) subjects had no previous TT vaccination, 2 (9.5%) had 3 doses of TT vaccine in infancy but developed tetanus at age ≥9 years, 1(4.8%) subject had a dose of TT while the remaining 9subjects had no proof of previous TT vaccination. The percentage mortality was 19% (4 out of 21). All the patients that died had no prior record of TT vaccination. Complications identifi ed included laryngeal spasm and autonomic dysfunction. Conclusion: Post-neonatal tetanus is still common in our locality because booster doses of Tetanus Toxoid are not part of the national immunization schedule. Complete dose of tetanus toxoid vaccination during infancy and booster doses at school entry is necessary and should be part of school health programme to forestall post-neonatal tetanus.
BIOTYPE AND SUSCEPTIBILITY TO ANTIMICROBIAL AGENTS OF RABBIT Escherichia coli

Non-invasive Enteropathogenic Escherichia coli (EPEC) represents one of the most frequent pathogens involved in fatal enteropathy of commercial rabbits in Italy. We here report the characterisation of the biotype and the resistance to antimicrobial agents of 60 strains of E. coli isolated from 150 rabbits affected by diarrhoeic enteropathy. Parasitological, bacterioscopical, bacteriological and histological examinations were performed on caecal samples. Biotyping was made according to CAMGUILHEM and MILON (1989), and the antibiotic resistance against 18 different antibiotics was evaluated using the Kirby-Bauer method. All the strains were isolated from caeca that showed catharral to haemorrhagic entero-tiflitis and, microscopically, attachment/effacement (A/E) lesions. Twelve different biotypes were identified, among which B12 and B14 biotypes were constantly present. Antibiotic resistance patterns varied considerably among the biotypes and within the same biotype among the rabbitries. Only fluoroquinolones resulted highly efficacious against E. coli. The results suggest to adopt quarantine measures for restocking rabbits in order to identify potential reservoirs of EPEC as well as to determine the prevalent biotype/biotypes and its/their susceptibility to antimicrobial agents.
The Effect of Counseling Based on Sexual Self-Concept via Social Networks on Smartphone in Infertile Women: A Randomized Controlled Trial

ABSTRACT Background: Infertility can affect the physical, mental and emotional aspects of a person’s life. This study aimed to investigate the effect of sexual counseling via social networks on Smartphone in sexual self-concept of infertile women. Methods: In a randomized controlled trial, 80 eligible infertile women referred to the fertility centers of Alborz University of Medical Sciences from April to July 2018. They were randomly assigned into intervention) sexual counseling with routine infertility counseling) and control groups )routine infertility counseling(. Eight counseling sessions via social networks were held for both groups. The Snell’s sexual self-concept questionnaire was completed by participants before and after the intervention. The data were analyzed using SPSS 19 with a significance level of P<0.05. Results: The mean age of women was 30.76±0.72 years and the most infertility duration was more than 36 months. The results of a repeated measure showed that there were significant differences in positive self-concept domain between the two groups during the time by comparing the means (120.4±17.9 versus 105.1±16.8). We also found an increasing trend of the scores in positive sexual self-concept domain (110.6±18.42, 120.1±18.7, 120.4±17.9) (P<0.001) and a decrease in negative sexual self-concept domain (24.3±7.87, 20.2±7.77, 19.65±6.97) (P<0.001) in intervention group. In the situational self-concept, there were no difference between the two groups during the time (P=0.06) Conclusion: The results obtained in the present study showed that counseling through social networks was effective in improving the sexual self-concept in infertile women, thus ameliorating the couples’ sexual relations. Trial Registration Number: IRCT20160503027728N9
A Deep Generative Approach to Search Extrapolation and Recommendation

Related search query recommendation is a standard feature in many modern search engines. Interesting and relevant queries often increase the active time of users and improve the overall search experience. However, conventional approaches based on tag extraction, keywords matching or click graph link analysis suffer from the common problem of limited coverage and generalizability, which means the system could only make suggestions for a small portion of well-formed search queries. In this work, we propose a deep generative approach to construct a related search query for recommendation in a word-by-word fashion, given either an input query or the title of a document. We propose a novel two-stage learning framework that partitions the task into two simpler sub-problems, namely, relevant context words discovery and context-dependent query generation. We carefully design a Relevant Words Generator (RWG) based on recurrent neural networks and a Dual-Vocabulary Sequence-to-Sequence (DV-Seq2Seq) model to address these problems. We also propose automated strategies that have retrieved three large datasets with $500$K to $1$ million instances, from a search click graph constructed based on $8$ days of search histories in Tencent QQ Browser, for model training. By leveraging the dynamically discovered context words, our proposed framework outperforms other Seq2Seq generative baselines on a wide range of BLEU, ROUGE and Exact Match (EM) metrics.
Strain–rate Effect in Dynamic Buckling of Thin–walled Isotropic Columns

The aim of this paper is the analysis of strain–rate sensitivity in dynamic stability of thin–walled isotropic columns of closed rectangular cross–section, subjected to in–plane pulse loading of finite duration. The analysis is performed with the FE Method application. The full Lagrange strain tensor is assumed and various material characteristics are applied. The First Shear Deformation Theory displacement field is employed for the solution as well as the viscoplasticity constitutive model for material behavior under high strain rate loading. In the performed analysis the strain–rate effect influence on the dynamic buckling load is examined and also the initial imperfections of walls, pulse shape and pulse duration. The applications of some dynamic criteria are compared as well.
Transformational Leadership Theory and the Characteristics of Holistic Coaching in Sports

For this study I developed two hypotheses. The first is that the four characteristics of Transformational Leadership Theory represent a guideline for holistic coaching in sports because as of now, there is only a definition of holistic coaching, not a set of characteristics. These characteristics of Transformational Leadership Theory are Individualized Consideration, Intellectual Stimulation, Inspirational Motivation, and Idealized Influence. The second hypothesis, that Transformational Leadership would relate more to holistic coaching than Transactional Leadership. In order to do this, I surveyed 25 athletes from various athletic teams at the University of Rhode Island. I also interviewed five coaches of various athletic teams at the same university. The first hypothesis proposed that the characteristics of Transformational Leadership Theory act as a guideline for how to be a holistic coach was supported. Three out of four of the characteristics of Transformational Leadership Theory were found to have a significant relation with holistic coaching. The only characteristic to not be found significant was Idealized Influence and the most significant was Intellectual Stimulation. The second hypothesis, that those four characteristics are more representative of holistic coaching than Transactional Leadership was also supported. The data confirmed this hypothesis by finding that the highly rated holistic coaches did not use Transactional Leadership tactics in their coaching style but instead used Transformational Leadership.
Do investors care about the Quality of Sustainability reports?-The Relationship between Sustainability Reporting Quality and Firm Value and the Role of Analysts

This thesis investigates the relationship between the quality of sustainability reporting and firm value and the role of analysts in this relationship. A panel dataset of listed companies during the period 2012-2016, comprising 300 observations is used. The results show that having a higher level of sustainability reporting quality is negatively associated with firm value. However, most of the results regarding this relationship are insignificant and have to be interpreted with care. In addition, the results show that a higher level of analyst coverage has a strengthening effect on the relationship between sustainability reporting quality and firm value. These findings extend the literature on sustainability reporting quality and firm value by integrating the role of analysts in this relationship. This thesis has implications for management and investors as they can use the findings of this thesis in their decision making process.
The Vulnerable Are Not ( Necessarily ) the Poor CGR Working Paper 40

In this paper I examine the concept of "vulnerability" within the context of income mobility of the poor. While the concept of poverty is well developed, the concept of vulnerability is less established in the economic literature. I test for the dynamics of vulnerable households in the UK using Waves 1 12 of the British Household Panel Survey and find that, of three different types of risks for which I test, household-specific shocks and economy-wide aggregate shocks have the greatest impact on consumption, in comparison to shocks to the income stream. I find vulnerable households up to at least 10 percentile points above the poverty line. Savings and earnings from a second job are not significantly associated with smoothing consumption of all vulnerable households. The results strongly indicate that income transfers and benefits assist the vulnerable in smoothing consumption. Thus, traditional poverty alleviating policies are not likely to assist the vulnerable.
High Resolution 3 D Seismic Imaging for Tunnel Engineering at Olkiluoto , Finland

Posiva Oy conducts bedrock investigations at the spent nuclear fuel final disposal site at Olkiluoto, in western Finland. The purpose of these efforts, which include a significant R&D component, is to ensure compliance with the requirements set forth for the long-term safety of final disposal. The excavation of the access tunnel to the repository hosts the ONKALO underground rock characterization facility. The investigations carried out at ONKALO concentrate on the bedrock and groundwater conditions prevailing on the final disposal site and how construction work affects them. The main objective of the surveys performed in the ONKALO tunnel was to image, by reflection seismics, mechanically weak and hydraulically conductive zones in front of and aside ongoing excavation works [6]. Refraction velocity profiles were also produced along the tunnel wall. In situ determinations of Pand Svelocity distributions and associated ray paths were derived and dynamic values for compression and shear moduli were inferred.
Information Environment , Sophisticated Investors , and Market Efficiency : Evidence from a Natural Experiment

This paper examines how changes in information environment affect the trading behavior of sophisticated investors and stock price efficiency. Using closures of brokerage firms as an exogenous shock to information environment, we study how hedge funds trade the affected stocks and how their trades in turn impact price efficiency. We find that, after exogenous reduction of analyst coverage, 1) the magnitudes of post-earnings-announcement-drift (PEAD) become stronger; 2) hedge funds trade more aggressively on the affected stocks in that their abnormal holdings increase (decrease) more prior to positive (negative) earnings announcements; 3) hedge funds obtain higher abnormal returns on the affected stocks; and 4) conditional on high levels of hedge fund holdings prior to earnings announcements, the increase in the magnitudes of PEAD becomes significantly weaker and is indistinguishable from zero, suggesting that the participation of hedge funds can restore the impaired market efficiency. Overall, these results are consistent with a substitution effect between sophisticated investors and providers of public information in facilitating market efficiency.
TEM 1 knock-down inhibits the proliferation and metastasis of MESSA uterine sarcoma cells

Aims: Uterine sarcomas are associated with a poor prognosis because of their high recurrence rate and metastatic potential. Tumor endothelial marker (TEM1) is associated with tumor metastasis and invasiveness. It is over-expressed in uterine sarcomas but has not been investigated fully. Our study aimed to elucidate the function of the TEM1 protein in uterine sarcoma cells MES-SA. Methods: A TEM1 knock-down MES-SA uterine sarcoma cell line was established using a small interfering RNA (siRNA) targeting TEM1. Cell proliferation, invasion and metastasis were assessed using Cell Counting Kit (CCK)-8, scratch, transwell and colony formation assays. Protein markers of the epithelial-mesenchymal transition (EMT) were investigated to evaluate the metastatic potential of TEM1 in uterine sarcoma cells. Results: TEM1 downregulation inhibits the migration, metastasis and proliferation of MES-SA cells. The ability of these cells to form colonies was also impaired by TEM1 knock-down. The EMT was significantly inhibited in MES-SA cells after TEM1 silencing. Conclusion: TEM1 promotes the invasiveness and EMT of uterine sarcoma cells, and a TEM1-targeted therapy may be a potential option for patients with uterine sarcoma.
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++

Change detection (CD) is essential to the accurate understanding of land surface changes using available Earth observation data. Due to the great advantages in deep feature representation and nonlinear problem modeling, deep learning is becoming increasingly popular to solve CD tasks in remote-sensing community. However, most existing deep learning-based CD methods are implemented by either generating difference images using deep features or learning change relations between pixel patches, which leads to error accumulation problems since many intermediate processing steps are needed to obtain final change maps. To address the above-mentioned issues, a novel end-to-end CD method is proposed based on an effective encoder-decoder architecture for semantic segmentation named UNet++, where change maps could be learned from scratch using available annotated datasets. Firstly, co-registered image pairs are concatenated as an input for the improved UNet++ network, where both global and fine-grained information can be utilized to generate feature maps with high spatial accuracy. Then, the fusion strategy of multiple side outputs is adopted to combine change maps from different semantic levels, thereby generating a final change map with high accuracy. The effectiveness and reliability of our proposed CD method are verified on very-high-resolution (VHR) satellite image datasets. Extensive experimental results have shown that our proposed approach outperforms the other state-of-the-art CD methods.
Border Effects and North American Economic Integration : Where Are We Now ?

N THE FIRST PART OF THE STUDY, we review and discuss the recent evolution of the literature on border effects in light of Anderson and van Wincoop’s (2001) proposed solution to the border puzzle. We argue that these authors have taken a critical step forward regarding the information contained in border effect estimates. In the second part of the study, we estimate border effects for Canada and the ten provinces with a sample spanning the years 1981-2001. For most provinces and for Canada as a whole, the border effect on goods trade appears to have been declining steadily over the 1981-2000 period.
Sampling For Community Structure in Multiplex Networks with Multilevel Multi-Armed Bandit

In this paper, we look at the problem of sampling (through crawling) for the community structure in a layer of interest in a multiplex network. If the cost of a query on the layer of interest is higher than than that of the other, we can explore the cheaper layers and use the information gathered to make better decisions on which node to query on in the expensive layer. The problem that we address is found in a lot of real world cases. For example, if we want to find the community structure of the Twitter Friends-Followers relationship, the API rate limits is a huge hindrance. However the API rate limits for querying the user timeline to fetch the mentions and replies layer is huge comparatively. To solve this problem, we propose an algorithm called MultiComSample. This algorithm uses multiple multiarmed bandits to figure out what are the best layers, communities and roles to select nodes to query are. We tested our alorithm against four baselines on four realworld multiplex networks. The experimental results show that our algorithm outperforms all the baselines by a significant margin.
Genetic Diversity of ‘ Candidatus Phytoplasma solani ’ Strains Associated with “ Bois Noir ” Disease in Croatian Vineyards

Variability of genotypes involved in “bois noir” (BN) pathosystem, disease induced by ‘Candidatus Phytoplasma solani’, was assessed by a multilocus sequence typing (MLST) approach. Genotyping was performed on almost ninety selected strains detected in the scope of an eight-year national survey encompassing grapevine samples, weeds and insects from all Croatian viticultural regions. The extensive tuf, secY, vmp1 and stamp genes based MLST analyses revealed the presence of at least 19 different ‘Ca. P. solani’ comprehensive genotypes. The prevalent genotype identified is affiliated to the main vector Hyalesthes obsoletus and widespread in central north-western part of Croatia. In addition to H. obsoleteus, ‘Ca. P. solani’ was also detected in samples from the genus Cixius that grouped within distinct stamp/comprehensive genotype. These results revealed a considerable genetic variability and the wide geographical distribution of ‘Ca. P. solani’ strains in Croatia. Furthermore, considerable number of comprehensive genotypes found also indicated presence of several independent epidemiological cycles included in the BN pathosystem.
Scales of Cognitive Ability for Traumatic Brain Injury

The Scales of Cognitive Ability for Traumatic Brain Injury (SCATBI) assesses cognitive and linguistic abilities of adolescent and adult patients with head injuries. Its results can be used to establish the severity of the injury and can be charted to show progress during recovery. The SCATBI can be individually administered in 30 minutes to 2 hours. It consists of five subtests: Perception/Discrimination, Orientation, Organization, Recall, and Reasoning. Because the subtests use the same standard score scale, direct comparison of performance on the different subtests is possible. Unlike other tests for this population, the SCATBI progresses in difficulty to levels that even some normal adults do not typically master. This permits patients who functioned at very high levels prior to injury to be measured with the same instrument as they regain the use of higher level abilities (such as complex organization and abstract reasoning). The SCATBI is time efficient-administered only those scales you think are useful for evaluating a particular patient.
Inhibition of Escherichia Coli, Pseudomonas Aeruginosa, Staphylococcus Aureus and Enterococcus Feacalis through Malus DomesticaExtracts to Eliminate Food Borne Illness

Pathogenic microbial agents such as bacteria, fungi and viruses are major threats to food safety as well as community health [1]. These microorganisms cause number of diseases, such as Gastrointestinal tract infection, diarrhoea, nausea, intestinal disorders, abdominal bloating, allergies and inflammatory disorders. Use of antibiotics have shown the cure and suppression of diseases but it also lead to increase resistance as well as expansion of strains [2]. This situation has necessitated a search for natural antimicrobial agent against pathogenic microbes to control such disorders and to ensure food safety. Fruits phytochemicals and their extracts with identified antimicrobial activities have great importance in the treatment of many infectious diseases [3]. Recent study has exposed that peel and seed of many fruits like apple peel, grape peels and seeds [4], pomegranate peel [5], mango seed kernel [6] and wampee peel [7] may possibly have antimicrobial property. All components of plants separately or in combination show antimicrobial activity and antimicrobial agents can be found in any part of plant as in stalks, bark, leaves, roots, fruits, flowers, seeds, pods, latex, stems, fruit rind and hull [8]. Apple fruit and its extract have been used as medicine for prevention and treatment of different diseases [9]. Abstract