Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on the effect of chemotherapy on physical status of patients with nonsmall-cell lung cancer

This study is to investigate the effect of chemotherapy on living quality, anxiety and immunity of patients with non-small-cell lung cancer. 78 patients with non-small-cell lung cancer treated with chemotherapy in hospital were selected randomly. The clinical effect of chemotherapy on patients was evaluated every two cycles. The living quality, anxiety and immunity of patients with lung cancer were graded. Before chemotherapy, the scores of living quality functional fields, fatigue and dyspnoea were high. There were 53.8% patients with anxiety. The score of SAS was 52.36 ± 6.42. After two cycles of chemotherapy, dyspnoea was obviously improved, while insomnia and loss of appetite were obviously increased. There were 73.1% patients with anxiety and the score of SAS was 52.36 ± 6.18, which were significantly increased compared with before chemotherapy. After four cycles of chemotherapy, the scores of body, role, emotion and social function were obviously reduced, while nausea and vomiting, loss of appetite, constipation and financial difficulty were worse. There were 80.8% patients with anxiety. The score of SAS was 55.27 ± 6.42. Compared with two cycles of chemotherapy, the difference was not statistically significant. Compared with before chemotherapy, the number of CD8+ was decreased, and the ratio of CD4+/CD8+ was increased. The physical status of part patients was relieved after chemotherapy, but their anxiety was quite obvious and their immunity and living quality were decreased. Medical worker should be timely evaluated patients’ living quality and emotional changes, provide a good job of health and prevention, and actively carry out psychological counselling for patients.
Aﬀective metadata from movies helps predict a viewer’s mood for mood-based recommenders

Finding a good movie to watch is getting more diﬃcult in this day and age because of the huge availability. Movie recommendations are thus getting more important. Mood-based and context-aware recommenders could help improve these by taking a viewer’s mood and context into account. In this paper, we constructed aﬀective ‘proﬁles’ for movies that potentially characterize their aﬀective inﬂuence on viewer’s moods. We then gathered data about people’s moods before and after watching movies to use these aﬀective proﬁles in predicting viewer’s moods after the movie. We found that a linear model armed with these aﬀective proﬁles and information about people’s mood and an estimated score for the movie could explain 22% of the variance in moods. While not perfect, we believe this shows that aﬀective movie proﬁles based on metadata combined with traditional recommender systems could successfully use people’s moods to improve movie recommendations.
The large-scale magnetospheric electric field observed by Double Star TC-1

Abstract. The relationship between the average structure of the inner magnetospheric large-scale electric field and geomagnetic activity levels has been investigated by Double Star TC-1 data for radial distances ρ between 4.5 R E and 12.5 R E and MLT between 18:00 h and 06:00 h from July to October in 2004 and 2005. The sunward component of the electric field decreases monotonically as ρ increases and approaches zero as the distance off the Earth is greater than 10 R E . The dawn-dusk component is always duskward. It decreases at about 6 R E where the ring current is typically observed to be the strongest and shows strong asymmetry with respect to the magnetic local time. Surprisingly, the average electric field obtained from TC-1 for low activity is almost comparable to that observed during moderate activity, which is always duskward at the magnetotail (8 R E ~12 R E ).
Urban Mobility and Atmospheric Pollution within the Torino Metropolitan Area

Pancrazio Bertaccini 2 Dipartimento di Statistica e Matematica Applicata ‘Diego De Castro’, Universita degli Studi di Torino, e-mail: bertaccini@econ.unito. it Michela Cameletti Dipartimento di Ingegneria dell’Informazione e Metodi Matematici, Universita di Bergamo, e-mail: michela.cameletti@unibg.it Alessandro Fasso Dipartimento di Ingegneria dell’Informazione e Metodi Matematici, Universita di Bergamo, e-mail: alessandro.fasso@unibg.it
The comparison of Cognitive Functions in Schizophrenia and Schizoaffective Disorder

Objective: The aim of this study was to investigate cognitive function in individuals with schizophrenia and schizoaffective disorder. Method: Research participants included 48 outpatients with a diagnosis of schizophrenia, 35 outpatients with schizoaffective disorder, and 48 non-patients from the community. Scale for Assessment of Positive Symptoms (SAPS), Scale for Assessment of Negative Symptoms (SANS), and Brief Psychiatric Rating Scale (BPRS) were applied to the patients. Neuropsychological evaluation included Wisconsin Card Sorting Test (WCST) for executive functions, Verbal Memory Processes Test (VMPT) for verbal memory and Stroop Test (ST) for attention tasks. Results: There were significant differences among the groups in the number of categories completed, number of perseverative error, percentage of perseverative error, number of conceptual level responses and percentage of conceptual level responses in WCST; time diffrence in Stroop test; score of learning, score of maximum learning and long term memory-recall in VMPT. A post hoc analysis (Turkey) was performed. It was determined that there was no difference between schizoaffective and schizophrenia patients on neuropsyhological tasks. However, schizoaffective and schizophrenia patients had significantly poorer performance than control group on neuropsychological tests. Conclusion: Our study show that cognitive functions in patients with schizoaffective disorder and schizophrenia are similar and that they are both impaired compared with healthy controls.
Bias Analysis for The Principal Stratum Direct Effect in The Presence of Confounded Intermediate Variables

In epidemiological and clinical research, investigators often want to estimate the direct effect of a treatment on an outcome, which is not relayed by intermediate variables. Even if the total effect is unconfounded, the direct effect is not identifi ed when unmeasured variables affect the intermediate and outcome variables. This article focuses on the principal stratum direct effect (PSDE) of a randomized treatment, which is the difference between expectations of potential outcomes within latent subgroups of subjects for whom the intermediate variable would be constant, regardless of the randomized treatment assignment. Unfortunately, the PSDE will not generally be estimated in an unbiased manner without untestable conditions, even if monotonicity is assumed. Thus, we propose bounds and a simple method of sensitivity analysis for the PSDE under a monotonicity assumption. To develop them, we introduce sensitivity parameters that are defi ned as the difference in potential outcomes with the same value of the intermediate variable between subjects who are assigned to the treatment and those who are assigned to the control group. Investigators can use the proposed method without complex computer programming. The method is illustrated using a randomized trial for coronary heart disease.
Spiritual and ethical transformational leadership: Critical discourse analysis within a practical theology praxis

The objective of this article is to focus renewed attention on ethics in contemporary dialogue through value-based leadership. This is done with reference to the value of meaning in social research and critical discourse analysis within a framework of leadership discourse praxis. Discourse constructs, such as dominance and power, are analysed in the (re)production of oppression, injustice and inequality. The objective is to analyse the way in which human ideas and the actions of powerful and dominant leadership elites are influencing and dominating ethical and/or unethical public enactments. The hypothesis is that ethical discourse enactments (practices) could foster authentic ethical and transformational leadership.
Intangibles and methods for their valuation in financial terms: literature review

Purpose: The purpose of this paper is to review literature devoted to intangibles and their valuation and give examples of the methods that can be used for valuation of individual intangibles in financial terms. Design/methodology/approach: Paper presents a systematic review of articles dedicated to intangibles and their valuation. Findings: This review shows that there is a need for consensus in definitions of intangibles, intangible assets, knowledge assets and other related terms. These terms are used interchangeably in spite of their different meanings. Many methods for valuation of intangibles can be found in the literature, but widely accepted list of basic intangibles with suggested methods for their valuation in financial terms is still missing. Research limitations/implications: Not all the papers related to this topic could be covered in this paper. Presented list of important intangible components may be enhanced and examples of some other methods for their valuation may be added in the future. Practical implications: Paper calls for development of framework comprising list of the most important intangibles, proposals of methods used for their valuation and examples of their use. This framework can be helpful for organization, which are confronted with a difficult task of intangibles valuation. Originality/value: Basic definitions and differences between intangibles, intangible assets, identifiable intangible assets, knowledge assets and intellectual capital have not been mentioned in one paper yet. List of intangibles and methods for their valuation gives a direction for future work that can be fruitful for valuation of intangibles.
Projected change in atmospheric nitrogen deposition to the Baltic Sea towards 2020

Abstract. The ecological status of the Baltic Sea has for many years been affected by the high input of both waterborne and airborne nutrients. The focus here is on the airborne input of nitrogen (N) and the projected changes in this input, assuming the new National Emission Ceilings directive (NEC-II), currently under negotiation in the EU, is fulfilled towards the year 2020. With a set of scenario simulations, the Danish Eulerian Hemispheric Model (DEHM) has been used to estimate the development in nitrogen deposition based on present day meteorology combined with present day (2007) or future (2020) anthropogenic emissions. Applying a so-called tagging method in the DEHM model, the contribution from ship traffic and from each of the nine countries with coastlines to the Baltic Sea has been assessed. The annual deposition to the Baltic Sea is estimated to 203 k tonnes N for the present day scenario (2007) and 165 k tonnes N in the 2020 scenario, giving a projected reduction of 38 k tonnes N in the annual load in 2020. This equals a decline in nitrogen deposition of 19%. The results from 20 model runs using the tagging method show that of the total nitrogen deposition in 2007, 52% came from emissions within the bordering countries. By 2020, this is projected to decrease to 48%. For some countries the projected decrease in nitrogen deposition arising from the implementation of the NEC-II directive will contribute significantly to compliance with the reductions agreed on in the provisional reduction targets of the Baltic Sea Action Plan. This underlines the importance of including projections like the current in future updates of the Baltic Sea Action Plan.
Lightweight Language Support for Type-Based, Concurrent Event Processing

Many concurrent applications are structured around typebased event handling. Scala provides a library for eventbased actors, which allows common idioms to be expressed in a concise and intuitive way. However, innocent-looking programs can exhibit catastrophic performance under certain conditions. In this paper, we introduce translucent functions, a type-based refinement of Scala’s pattern-matching functions. Translucent functions additionally provide the runtime types of classes that identify disjoint cases in a pattern. We show how this additional type information can be used to optimize actors as well as a form of join-style synchronization.
FELEX BUILDER: A SEMI-SUPERVISED LEXICAL RESOURCE BUILDER FOR OPINION MINING IN PRODUCT REVIEWS

As the Internet continues to expand into one of the largest sources of information in the world, more and more applications are being created that are able to extract and make use of valuable knowledge obtained from it. Opinion Mining (OM) and Sentiment Analysis (SA) focus on the subjective elements of text, and the inherent opinions of the writer rather than the contents of their message. The subjective and opinionated nature of the Internet makes it a prime source of data for OM and SA applications. Sentiment Lexicons are databases that store polarity scores of words, and are used by many SA applications as a standard data resource. However, one of the main limitations of modern sentiment lexicons is that they do not take the context of the word into account, and how the polarity of a word can change depending on what it is describing. As certain words may have different opinion orientations when pertaining to different objects, applications that use standard sentiment lexicons may not able to accurately identify the opinion content of a certain text. This research addresses this issue through the creation of a lexicon builder that extract word pairs instead of individual opinionated words. FeLex Builder is a feature-descriptor-based lexical resource builder that is created through an automated extraction of word pairs present in texts and a semi-supervised polarity scoring process. We tested FeLex Builder on online product reviews. Reviews from six different product categories on Amzon were gathered. Evaluation shows a 75.02% accuracy performance of the Felex Builder in extracting word pairs.
Time series analysis reveals synchrony and asynchrony between conflict management effort and increasing large grazing bird populations in northern Europe

The management of conflicts between wildlife conservation and agricultural practices often involves the implementation of strategies aimed at reducing the cost of wildlife impacts on crops. Vital to the success of these strategies is the perception that changes in management efforts are synchronized relative to changes in impact levels, yet this expectation is never evaluated. We assess the level of synchrony between time series of population counts and management effort in the context of conflicts between agriculture and five populations of large grazing birds in northern Europe. We reveal inconsistent patterns of synchrony and asynchrony between changes in population counts and impact management effort relating to population harvesting, monetary payments, or scaring practices. This variation is likely due to differing management aims, the existence of lags between management decisions and population monitoring, and the inconsistent use of predictive models across case studies. Overall, our findings highlight the need for more adaptive and timely responses of management to changes in target species numbers so as not to unexpectedly increase social conflicts and jeopardize the status of wildlife populations.
Optimization of frozen wild blueberry vacuum drying process

The objective of this research was to optimize the vacuum drying of frozen blueberries in order to preserve health benefits phytochemicals using response surface methodology. The drying was performed in a new design of vacuum dryer equipment. Investigated range of temperature was 46-74°C and of pressure 38-464 mbar. Total solids, total phenolics, vitamin C, anthocyanin content and total color change were used as quality indicators of dried blueberries. Within the experimental range of studied variables, the optimum conditions of 60 °C and 100 mbar were established for vacuum drying of blueberries. Separate validation experiments were conducted at optimum conditions to verify predictions and adequacy of the second-order polynomial models. Under these optimal conditions, the predicted amount of total phenolics was 3.70 mgCAE/100dw, vitamin C 59.79 mg/100gdw, anthocyanin content 2746.33 mg/100gdw, total solids 89.50% and total color change 88.83. [Projekat Ministarstva nauke Republike Srbije, br. TR 31044]
NUMERICAL SIMULATION OF TSUNAMI CURRENTS AROUND MOVING STRUCTURES

The paper aims to simulate Tsunami currents around moving and fixed structures using the moving-particle semiimplicit method. An open channel with four different sets of structures is employed in the numerical model. The simulation results for the case with one structure indicate that the flow around the moving structure is faster than that around the fixed structure. The flow becomes more complex for cases with additional structures.
Activation of Lignin Biosynthetic Enzymes During Internodal Development of Aeluropus littoralis Exposed to NaCl

Lignin is one of the major characteristics of plant secondary cell wall that provides structural rigidity for the cells and tissues and hydrophobicity to tracheary elements. Internode tissues of Aeluropus littoralis as a halophyte grass were sampled at different developmental stages (from the first to the fifth internodes) and under different NaCl concentrations. The influences of NaCl and internode maturity on lignin content and activities of phenylalanine ammonia-lyase (PAL) and cinnamyl alcohol dehydrogenase (CAD) were investigated. Salt stress induced the activities of PAL and CAD and increased the lignin content. Data indicated that the highest level of PAL activity was found at the first internode and CAD activity in the apical and young parts of stem was higher than the old and basal parts of it. Lignin accumulation correlated positively with PAL and CAD activities under salt stress, but during internodal maturation lignification correlated negatively with PAL and CAD activity. The results suggest that induction of PAL and CAD activities and consequently increasing of lignin deposition at internode tissues can be a strategy for high salinity tolerance in this halophyte.
On Building a Universal and Compact Visual Vocabulary

Bag-of-visual-words has been shown to be a powerful image representation and attained great success in many computer vision and pattern recognition applications. Usually, for a given dataset, researchers choose to build a specific visual vocabulary from the dataset, and the problem of deriving a universal visual vocabulary is rarely addressed. Based on previous work on the classification performance with respect to visual vocabulary sizes, we arrive at a hypothesis that a universal visual vocabulary can be obtained by taking-into account the similarity extent of keypoints represented by one visual word. We then propose to use a similarity threshold-based clustering method to calculate the optimal vocabulary size, where the universal similarity threshold can be obtained empirically. With the optimal vocabulary size, the optimal visual vocabularies of limited sizes from three datasets are shown to be exchangeable and therefore universal. This result indicates that a universal and compact visual vocabulary can be built from a not too small dataset. Our work narrows the gab between bag-of-visual-words and bag-of-words, where a relatively fixed vocabulary can be used with different text datasets.
White House Review of Agency Rulemaking

Since the earliest days of the Republic, presidents have taken the steps they deemed necessary to maintain some control over the activities of the executive branch—to ensure that officials’ statements and actions followed presidential policies and were consistent with each other. For example, President Jefferson reported approvingly that President Washington had routinely reviewed the correspondence prepared by his cabinet officials before it was mailed, a practice that Jefferson resumed. [1] With the growth of the executive branch, later presidents took more formal steps to maintain their influence over the executive bureaucracy. In 1921, the Bureau of the Budget was created to consolidate all executive branch budget submissions. Shortly thereafter, agency positions on proposed legislation were also routed through the Bureau of the Budget. In the 1970s, growing dissatisfaction with government regulation led to formal presidential oversight of executive branch rulemaking. This oversight function was eventually entrusted to the Office of Management and Budget (OMB) within the Executive Office of the President. The same rationale applied: the president wanted to ensure that regulations were consistent with each other and with administration policies and priorities. Modest initial efforts during the Nixon administration have been strengthened and expanded by each president who followed. [2] President Reagan’s regulatory review program evolved from these earlier efforts and extended them in two crucial respects. First, the initial programs directed agencies to assess the social costs and benefits of their rules; the Reagan program directs agencies to decide regulatory
Organizational Commitment and Turnover Intentions of Clinical Laboratory Scientists in Ghana

High employee turnover rate coupled with frequent strike actions embarked on by clinical laboratory scientists in Ghana over the years has become a major issue that needs to be addressed. This study examined the different dimensions of organizational commitment (affective, continuance and normative commitment) as predictors of turnover intentions of medical laboratory scientists in selected health facilities in Ghana. The study consisted of 141 medical laboratory scientists drawn from various public health institutions. Two standardized instruments were used to measure organisational commitment and turnover intentions. Results of the study revealed that turnover intentions correlated insignificantly with affective commitment, but correlated significantly with continuance commitment and negatively with normative commitment. Further analysis revealed a linear positive relationship between the predictor variables combined (affective commitment, continuance commitment, normative commitment) and criterion variable (turnover intentions) among clinical laboratory scientists. Based on the findings, retention strategies of clinical laboratory scientists were proposed. Key words: Organisational Commitment, Turnover Intentions, Clinical Laboratory Scientists.
The Excitation and Damping of Transversal Coronal Loop Oscillations

The excitation and damping of transversal coronal loop oscillations is studied using a simple line-tied one-dimensional model. The dynamics of the loop and the coronal environment is governed by the well-known Klein-Gordon equation, and so a localized disturbance (representing the effect of a solar flare) gives rise to a perturbation that undergoes dispersion as it propagates toward the loop. As a consequence, the loop oscillates at the external cutoff frequency, and its motion attenuates with time roughly as t-1/2 (with dense and wide loops having even stronger damping profiles). Hence, the damping of transversal loop oscillations is not related to any dissipation mechanism but is simply produced by the wake of the traveling disturbance. In addition, these damped oscillations are not related to the kink mode, although this mode can be excited after the attenuation process by the energy of the wave packet deposited in the loop.