Miracle-dz/UniFAR-FTUs huggingface dataset:
A Longitudinal Study Examining Changes in Students’ Leadership Behavior

This study investigated the impact of a leadership development program in students’ first year with the subsequent leadership behaviors of those students in their senior year. Significant changes were reported in the frequency of engaging in leadership behaviors from freshman to senior years. No differences were found on the basis of gender. In addition, significant differences in leadership behaviors were found between seniors who had participated in the leadership development program with a control group of seniors who had not participated. Results supported the impact of a formal leadership program upon students’ leadership development.
Vernier-cascade silicon photonic label-free biosensor with very large sensitivity and low-cost interrogation

Recently, cheap silicon-on-insulator label-free ring resonator biosensors have been demonstrated that allow fast and accurate quantitative detection of biologically relevant molecules for applications in medical diagnostics and drug development. However, a further improvement of their detection limit is limited by their small sensitivity and an expensive tunable laser is typically required to resolve the sharp resonances for wavelength interrogation. Therefore, we experimentally investigated the use of a Vernier-cascade sensor that achieves a sensitivity (thousands of nm/RIU) that is an order of magnitude larger than that of a ring resonator sensor (approx. 100 nm/RIU), while still maintaining sharp spectral features that allow precise monitoring of spectral shifts with data-fitting. Moreover we prove that it's also possible to accurately interrogate the sensor with a low-cost broadband light source by integrating it with an arrayed waveguide grating spectral filter that divides the sensor's transmission spectrum in multiple wavelength channels and transmits them to spatially separated output ports. Experiments show that this sensor can monitor refractive index changes of watery solutions in real-time with a detection limit (1.6 • 10-5 RIU) competitive with more expensive interrogation schemes, indicating its applicability in low-cost label-free biosensing.
PRELAUNCH PHOTOGRAMMETRIC CALIBRATION OF RUSSIAN SATELLITE ELEKTRO-L IMAGERY INSTRUMENTS

Abstract. Technology of prelaunch geometric calibration of multispectral imagery instruments of Russian geostationary satellites “Elektro-L” No.1 and No.2 is considered. Circular control points are used as a test field. Its geometrical model is developed to take distortions in the collimator optical system into account. Multiple observations of a test field at different angles is used to cover the full visual field of a geostationary sensor. New algorithm of circular control point detection is developed and adapted to complex geometry of geostationary imagery. It is capable of processing images formed as a set of separate scans. Under calibration, sensor design parameters and also the law of scanning mirror motion are specified. The paper contains results of the technology approval under prelaunch calibration of MSU-GS sensors for geostationary operational meteorological satellites (GOMS) “Elektro-L” No.1 and No.2.
Profrager Web Server : Fragment Libraries Generation for Protein Structure Prediction

This paper describes Profrager, a new flexible web server for generation of protein fragment libraries. These libraries have widespread use amongst modern protein structure prediction methods. Profrager offers several options for generating customized libraries, e.g., the users can choose between three options of structural databases to generate the libraries and can also define the number of fragments per position and the fragments lengths. The selection of fragments can be guided by three scoring strategies: (i) use only sequence similarity to the target sequence; (ii) use a weighted sum of the sequence similarity score and a secondary structure score; (iii) use a Pareto Efficiency strategy with the two scores. The software outputs useful statistics about the fragments in addition to files fully compatible with the GAPF and Rosetta protein structure prediction programs. Profrager is available at http://www.lncc. br/sinapad/Profrager/ as a
DeepTC: ConvLSTM Network for Trajectory Prediction of Tropical Cyclone using Spatiotemporal Atmospheric Simulation Data

Accurate forecasting of tropical cyclone trajectory is important because it can 1 have a great impact on the safety of people and infrastructure. This paper intro2 duces a novel data-driven tropical cyclone path prediction model called DeepTC. 3 The proposed model makes use of data generated using the Weather Research 4 and Forecasting model, which simulates spatiotemporal atmospheric conditions. 5 Additionally, the proposed model utilizes convolutional long short-term memory, 6 which is effective when operating on spatial data over time. Experimental results 7 demonstrate that our methodology is promising, confirming that DeepTC learns 8 the spatiotemporal dynamics of the atmosphere by the WRF effectively. 9
Experiences of Healing Yoga among Breast Cancer Women with Adjuvant Chemotherapy

Objective: To illustrate the experiences and perceived benefits of healing yoga as described by patients with breast cancer participating in a healing yoga program. Methods: The qualitative research with naturalistic design was conducted after the completion of an 8 weeks healing yoga program. A total of 11 breast cancer women with adjuvant chemotherapy were interviewed using the semi-structured interview guidelines. Findings: Participants expressed their experiences of healing yoga, including transforming concern to confidence, regaining a sense of belonging, gaining experience and satisfaction, and leading the way for life, were critical in developing these benefits. The perceived benefits of participating in this program was described as positive mental support, promoted a mind-body interaction and provided benefits ascribed to social activities, leading to a reported increase in active participation in life. Conclusion: This study gives support for the positive experiences of healing yoga among patients with a breast cancer. The objective effect of the healing yoga must be examined further to guide nurses in implementing suitable health promotional strategies for breast cancer patients.
Biophysical Studies on the Interactions of Bacterial Toxins

Many diarrhoeal diseases such as cholera are caused by protein toxins that have an AB5 hetero-oligomeric structure. The proteins comprise a single toxic A-subunit and a pentameric B-subunit that interacts with specific cell surface glycolipids. Inhibitors of such protein-carbohydrate interactions could provide prophylactic treatments for these debilitating diseases. In our work we aim to understand the binding interactions of multivalent inhibitors for bacterial toxins. Often a single biophysical technique is limited in the information it can provide, whereas a more complete picture can be constructed through an integrated approach using a broad range of biophysical methods. For example, the importance of protein and ligand dynamics in multivalent interactions is revealed when combinations of NMR spectroscopy, isothermal titration calorimetry, analytical ultracentrifugation and dynamic light scattering are used to study to different multivalent systems.
Multivariate asset models using Lévy processes and applications

In this paper, we propose a multivariate asset model based on Lévy processes for pricing of products written on more than one underlying asset. Our construction is based on a two-factor representation of the dynamics of the asset log-returns. We investigate the properties of the model and introduce a multivariate generalization of some processes which are quite common in financial applications, such as subordinated Brownian motions, jump-diffusion processes and time-changed Lévy processes. Finally, we explore the issue of model calibration for the proposed setting and illustrate its robustness on a number of numerical examples.
A non parametric survival analysis of business demography dynamics in Portugal

This article addresses the post-entry performance of Portuguese firms, using survival and hazard functions, along a period of eighteen years, from 1985 to 2007. The method follows the “Manual on Business Demography Statistics” (OECD/Eurostat, 2007), so as to assure international comparability with other datasets, such those from the Entrepreneurship Indicators Programme (OECD/Eurostat 2008 and 2009). In the exercise, we use a sub-set of the Quadros de Pessoal dataset (Employment Administrative Records by the Portuguese Ministry of Labour and Social Security), where only active employer enterprises are considered. The survival analysis is then disaggregated in different dimensions, namely sectors, regions and size class.
The effects of cycling cleat position on subsequent running performance in a simulated duathlon

Strategies that reduce the physiological load during the cycling phase of triathlon events may enable athletes to perform better during the subsequent running phase. The current study examines the effects of changes in shoe cleat position, during the cycling phase of a simulated duathlon, on running performance of competitive triathletes. Controlled crossover. 12 triathletes completed a simulated duathlon race using either their normal (control) cycling cleat position or an experimental mid-foot (arch) shoe cleat position. The duathlon consisted of a 30-min cycle, completed at 65% of the athlete’s previously determined peak aerobic power output, followed by a self-paced maximal effort 5.5-km treadmill run. Respiratory-gas measurements were made throughout testing using an automated online metabolic system. There were only trivial differences between conditions for any metabolic variables obtained during the cycling phase of the duathlon. However run time following the mid-foot condition was 2.2% (90% CI 0.8-3.6%) shorter compared to the control condition. In addition Oxygen consumption during the run phase was greater following the mid-foot condition by 2.2% (-0.5-5.1%). We conclude that worthwhile performance gains can be achieved during the running phase of a duathlon when athletes utilize a mid-foot-cleat shoe position during the cycling phase of an event. The improvement in running performance was likely due to a reduction in the rate of plantar flexor muscle fatigue during the cycling phase of the event.
Randomized and Efficient Time Synchronization in Dynamic Wireless Sensor Networks: A Gossip-Consensus-Based Approach

This paper proposes novel randomized gossip-consensus-based sync (RGCS) algorithms to realize efficient time calibration in dynamic wireless sensor networks (WSNs). First, the unreliable links are described by stochastic connections, reflecting the characteristic of changing connectivity gleaned from dynamic WSNs. Secondly, based on the mutual drift estimation, each pair of activated nodes fully adjusts clock rate and offset to achieve network-wide time synchronization by drawing upon the gossip consensus approach. The converge-to-max criterion is introduced to achieve a much faster convergence speed. The theoretical results on the probabilistic synchronization performance of the RGCS are presented. Thirdly, a Revised-RGCS is developed to counteract the negative impact of bounded delays, because the uncertain delays are always present in practice and would lead to a large deterioration of algorithm performances. Finally, extensive simulations are performed on the MATLAB and OMNeT++ platform for performance evaluation. Simulation results demonstrate that the proposed algorithms are not only efficient for synchronization issues required for dynamic topology changes but also give a better performance in terms of converging speed, collision rate, and the robustness of resisting delay, and outperform other existing protocols.
Adoption Social Learning in MOOCs Learning Designs to Increase the Interactivity and Cooperatively

: MOOC system (Massive Open Online Course) represents a distinctive phenomenon in education by having the characteristics of open learning, e-learning and lifelong education. As well the availability of the Current technologies can provide the possibility of creating a new sophisticated learning environment. The main objective of this paper is to integrate the use of Social Media with MOOC in order to design more Interactive and Cooperative platform. What keeps MOOC successful is the dynamic building of the context around the content. The idea behind this work is to maintain the concept of MOOC that will depart it from the basic online courses which it contents are close ended and static while MOOCs are develops dynamically through student collaboration and participation. As will not to isolate the learners but to encourage them to form up a groups. Therefore this paper will focus on encouraging the use of network media at the same time supporting the student centered learning in another word cMOOC concept within the xMOOC and face to face learning benefits.
Layer-by-LayerNanoparticles for Systemic Codelivery of an Anticancer Drug and siRNA for Potential Triple-Negative Breast Cancer Treatment

T riple-negative breast cancer (TNBC) is a subtype of breast cancer associated with very poor prognosis, but it currently has no standard-of-care therapy. TNBC patients with residual disease after neoadjuvant chemotherapy experience significantly worse survival rates, due to the ineffectiveness of chemotherapy to recurrent disease. This phenomenon is due to the high genetic diversity of tumor cells in this aggressive form of cancer, which are capable of evading treatment by overexpression of certain genes that involve antiapoptotic or drug desensitizing pathways. siRNA holds great promise as a potential new class of targeted therapeutics with the ability of treating specific tumor types that have thus far been resistant to available therapies. Combining genetic targeting of specific resistance pathways of tumor cells with the corelease of chemotherapy drugs can provide the ability to “turn off” or “switch” the tumor cell's ability to fight, recover from, or avoid a given therapy, and thus greatly increase the treatment efficacy. However, to create clinically relevant siRNA therapeutics for systemic treatment of advanced diseases, some key issues must be addressed: (1) prolonged nanoparticle persistence in circulation to allow sufficient access to the tumor for sustained therapy; (2) high loading of siRNAper nanoparticle to overcome losses from the generally low uptake and endosomal escape rates in tumor cells; and (3) the use of materials that can mediate endosomal escape of siRNA while minimizing potential toxicity. Recent advances use materials such as block copolymers, cyclodextrins, copolypeptides, and charged lipids that are solid at body * Address correspondence to hammond@mit.edu.
A two stage Bayesian stochastic optimization model for cascaded hydropower systems considering varying uncertainty of flow forecasts

This paper presents a new Two Stage Bayesian Stochastic Dynamic Programming (TS‐BSDP) model for real time operation of cascaded hydropower systems to handle varying uncertainty of inflow forecasts from Quantitative Precipitation Forecasts. In this model, the inflow forecasts are considered as having increasing uncertainty with extending lead time, thus the forecast horizon is divided into two periods: the inflows in the first period are assumed to be accurate, and the inflows in the second period assumed to be of high uncertainty. Two operation strategies are developed to derive hydropower operation policies for the first and the entire forecast horizon using TS‐BSDP. In this paper, the newly developed model is tested on China's Hun River cascade hydropower system and is compared with three popular stochastic dynamic programming models. Comparative results show that the TS‐BSDP model exhibits significantly improved system performance in terms of power generation and system reliability due to its explicit and effective utilization of varying degrees of inflow forecast uncertainty. The results also show that the decision strategies should be determined considering the magnitude of uncertainty in inflow forecasts. Further, this study confirms the previous finding that the benefit in hydropower generation gained from the use of a longer horizon of inflow forecasts is diminished due to higher uncertainty and further reveals that the benefit reduction can be substantially mitigated through explicit consideration of varying magnitudes of forecast uncertainties in the decision‐making process.
Modelling of the surface emission of the low magnetic field magnetar SGR 0418+5729

SG is funded by the FONDECYT postdoctoral grant 3150428. During the preparation of this work, SG was partially funded at McGill University by NSERC via the Vanier Canada Graduate Scholarship program, and by the Fonds de Recherche du Quebec - Nature et Technologies. RP acknowledges support by NSF grant No. AST 1414246 and Chandra-Smithsonian Awards No. GO3-14060A and No. AR5-16005X. NR acknowledges support via an NWO Vidi Award. NR and DV are supported by grants AYA2012-39303 and SGR2009-811. Partial support comes from NewCompStar, COST Action MP1304. JP is supported by the grant AYA2013-42184-P.
Drug utilization pattern in acne vulgaris in skin outpatients department of a tertiary care teaching hospital at Dehradun, Uttarakhand -

Background: Irrational prescription of drugs is a common occurrence in clinical practise. Aims & Objective: The principal aim of drug utilization studies is to facilitate the rational use of drugs in population. Materials and Methods: A total of 238 prescription of patients of acne vulgaris were analyzed for 6 months in Dermatology OPD by Pharmacology department of SGRRIM & HS, Dehradun to study the drug utilization pattern, using WHO drug use indicator. Results: A total of 238 prescriptions were analysed, male: female ratio was 1:1.07, mean age was 21.67 ± 0.51 years, majority of the patients were unmarried 153 (64.28%), students 192 (80.68%), non-vegetarian 121 (50.84%), belongs to middle socio-economic group 213 (89.49%). Total 1135 drugs were used, oral formulations 471 (41.50%), topical 664 (58.50%), 35 (3.08%) FDCs (fixed dose combination) were prescribed. 4.76 drugs per prescription were prescribed. Antibiotics 204(43.31%) were most commonly used oral drugs. 620 (93.37%) single topical preparations and 44 (6.63%) topical combination preparations of steroids, antibiotics and antifungals were prescribed. All drugs were prescribed in brand names. Conclusion: The prescriptions revealed polypharmacy. This study can help to provide feedback to the prescribers, thereby increase in awareness and improve patient care by rational utilisation of drugs.
A compact power-efficient 3 V CMOS rail-to-rail input/output operational amplifier for VLSI cell libraries

The design of low-cost mixed/mode VLSI systems requires compact power-efficient library cells with a good performance. Digital library cells fully benefit from the continuing down-scaling of CMOS processes, since these cells contain minimum-size components. Analog library cells, such as the op amp, cannot be designed using minimum-size transistors, for reasons of gain, offset, etc. Moreover, low-voltage rail-to-rail requirements complicate the design. To obtain compact low-voltage analog cells with a good performance, simple power-efficient designs need to be developed. This paper presents a compact two-stage 3 V CMOS opamp that is suitable as a VLSI library cell because of its small die area. <<ETX>>
How Responsive is Female Labour Supply to Child Care Costs: New Australian Estimates

The degree of responsiveness of Australian women's labour supply to child care cost has been a matter of some debate. There is a view that the level of responsiveness is very low or negligible, running counter to international and anecdotal evidence. In this paper we review the Australian and international literature on labour supply and child care, and provide improved Australian estimates of labour supply elasticities and child care demand elasticities with respect to gross child care price. We find that the limited literature in Australia has suffered from measurement error problems stemming in large part from shortcomings with data on child care price and child care usage. We use detailed child care data from three recent waves of the Household, Income and Labour Dynamics in Australia (HILDA) Survey (covering the period 2005 to 2007) to address these problems. We extend the standard labour supply and child care model to allow for separate effects of different child care prices for children in different age ranges and we calculate regional child care prices based upon child-level information. The salient finding is that child care prices do have statistically significant effects on mothers’ labour supply and child care demand. The new estimates are in line with international findings, and their robustness is supported by a validation exercise involving an alternative technique and an earlier time period.
Keyword Based Emotion Word Ontology Approach for Detecting Emotion Class from Text

Human Computer interaction is a very powerful and most current area of research because the human world is getting more digitize. This needs the digital systems to imitate the human behavior correctly. Emotion is one aspect of human behavior which plays an important role in human computer interaction, the computer interfaces need to recognize the emotion of the users in order to exhibit a truly intelligent behavior. Human express the emotion in the form facial expression, speech, and writing text. Every day, massive amount of textual data is gathered into internet such as blogs, social media etc. This comprises a challenging style as it is formed with both plaint text and short messaging language. This paper is mainly focused on an overview of emotion detection from text and describes the emotion detection methods. These methods are divided into the following four main categories: keyword-based, Lexical Affinity method, learning based, and hybrid based approach. Limitations of these emotion recognition methods are presented in this paper and also, address the text normalization using different handling techniques for both plaint text and short messaging language.