Miracle-dz/UniFAR-FTUs huggingface dataset:
The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems

Recent technological advances, especially in the field of machine learning, provide astonishing progress on the road towards artificial general intelligence. However, tasks in current real-world business applications cannot yet be solved by machines alone. We, therefore, identify the need for developing socio-technological ensembles of humans and machines. Such systems possess the ability to accomplish complex goals by combining human and artificial intelligence to collectively achieve superior results and continuously improve by learning from each other. Thus, the need for structured design knowledge for those systems arises. Following a taxonomy development method, this article provides three main contributions: First, we present a structured overview of interdisciplinary research on the role of humans in the machine learning pipeline. Second, we envision hybrid intelligence systems and conceptualize the relevant dimensions for system design for the first time. Finally, we offer useful guidance for system developers during the implementation of such applications.
WEAVING SUSTAINABILITY INTO BUSINESS EDUCATION 19

The imperative for addressing complex sustainability challenges through education underpins the UN declaration of the 2005 to 2014 Decade of education for sustainable development. Sustainability has been burgeoning as a theme for business schools worldwide with increasing numbers of courses and specialisations on sustainability in degrees such as the Master of Business Administration (MBA) programs. However, in the current 2007-08 Beyond Grey Pinstripes Global 100 ranking of social and environmental issues in MBA programs, only one Australian university is listed (Aspen CBE 2007). The aim of this preliminary empirical research is to explore the essential linkage between the sustainability requirements of business and curriculum offerings. The findings in this paper support the call for holistic embedding of sustainability in business education to develop current and future business leaders’ capacities and competencies in shifting towards corporate sustainable development.
Effects of Organizational Control, Trust, Relationship Commitment, and Partnerships on Relationship Performance in the Business Waste Industry

This study aimed to explore the effects of organizational control, relationship commitment, trust, and partnerships on industrial relationship performance. The participants in the survey were legitimate civil private companies that deal with waste disposal and treatment (both domestic and foreign companies) and are located in the six special municipalities of Taiwan. A questionnaire survey was conducted. A total of 1,000 questionnaires were distributed, and 550 questionnaires were returned. An effective sample of 539 questionnaires was collected, for an effective recovery rate of 98%. Analyses were performed using structural equation modeling (SEM). The results indicated significant positive effects of relationship control on formal control, relationship control on relationship commitment, relational trust on institutional trust, institutional trust on partnerships, and partnerships on relationship performance. These results can provide business waste organizations with a reference for the coordination of organizational control and decisions related to relationship performance management.
Preliminary Normative Data of Persian Phonemic and Semantic Verbal Fluency Test

Objective: Verbal fluency tests (VFTs) are widely used in clinical practice and research to assess executive functions and are highly sensitive to frontal lobe lesions. However, using VFTs in different cultures and languages needs further considerations. The aim of this study was to provide a Persian (Farsi) version of verbal fluency with preliminary normative data. Method : In the first phase, 50 healthy native Persian-speaking individuals completed 1-minute VFT for all 32 letters in Persian to find letters with highest frequency. In the second phase, 100 healthy participants (50 females) were recruited into 5 age groups that were matched by gender and education. Participants were instructed to do 1-minute VFT for the 3 selected letters (phonemic VFT) and 3 categories (animal, supermarket, and fruit) (semantic VFT). For data analysis, one-way ANOVA was performed. Results: In the first phase, 3 letters (Pe standing for /P/, Meem for /M/ and Kaaf for /K/) had the highest frequency in word production (12 in average) and had been chosen for Persian phonemic VFT. Participants were assessed with the 3 selected letters (/P/: 12.28±3.607, /M/: 12.54±3.907, and /K/: 12.48±3.708) and 3 semantic categories (animal: 21.67±5.119, supermarket: 21.19±4.907, and fruit: 19.58±4.439) with 1-minute time limitation for each test. The results showed that education was significantly (p<0.01) associated with the performance in the phonemic but not semantic scores, while age was not correlated with either of the tests. No significant effect of gender was observed. Conclusion: Based on our results, we recommend Persian letters Pe, Meem, and Kaff that have the highest frequency in word production among others to be used for neuropsychological assessments and future studies in the Persian language. This is the same logic behind selecting F, A, and S in the English version. Although the norms obtained in this study are preliminary, these results can be useful in clinical evaluation with considerations about age and educational levels. Moreover, the findings of this study can be used as an initial step for more comprehensive normative studies.
A remark on the group structure of elliptic curves in towers of finite fields

Let l be an odd prime, let F be a finite field of characteristic different from l and let A and B be l-isogenous elliptic curves defined over F. We study how the group structures of A(L) and B(L) vary in finite extensions L/F and prove that if the cardinality of the groups A(F) and B(F) are divisible by l and if A(F) and B(F) are isomorphic, then so are A(L) and B(L) for all finite extensions L of F.
Coping styles, resilience and emotional intelligence in clinical and nonclinical groups

The aim of the current study was to compare a clinical and nonclinical group across three psychological factors: coping styles, resilience and emotional intelligence. Participants (N =60) completed the Mississippi post-traumatic stress disorder scale, Connor and Davidson resilience scale, Moos and Billings coping styles scale and Schulte emotional intelligence scale. Results showed there are significant differences in all three psychological factors between 2 groups. Clinical group used emotional coping styles but nonclinical group more used behavioral and cognitive coping styles. Nonclinical group had higher emotional intelligence and psychological resilience scores. The results suggest that these psychological factors can be good protectors against prevention and treatment after exposure.
Estimating Local Fiscal Multipliers

We propose a new source of cross-sectional variation that may identify causal impacts of government spending on the economy. We use the fact that a large number of federal spending programs depend on local population levels. Every ten years, the Census provides a count of local populations. Since a different method is used to estimate non-Census year populations, this change in methodology leads to variation in the allocation of billions of dollars in federal spending. Our baseline results follow a treatment-effects framework where we estimate the effect of a Census Shock on federal spending, income, and employment growth by re-weighting the data based on an estimated propensity score that depends on lagged economic outcomes and observed economic shocks. Our estimates imply a local income multiplier of government spending between 1.7 and 2, and a cost per job of $30,000 per year. A complementary IV estimation strategy yields similar estimates. We also explore the potential for spillover effects across neighboring counties but we do not find evidence of sizable spillovers. Finally, we test for heterogeneous effects of government spending and find that federal spending has larger impacts in low-growth areas.
The Effect of Physical Activity on Serum Lipids, Lipoprotein, and Apolipoproteins

Objective: The aim of this study was to measure apolipoprotein-A1 and apolipoprotein-B serum concentrations during a physical activity program. Serum apolipoprotein concentrations may be a more sensitive indicator of coronary heart disease (CHD) risk than total cholesterol, triglycerides, low density lipoproteins and high density lipoproteins. Design: Thirty-seven sedentary, healthy adult males were randomly allocated to an exercise group (n=20) who underwent 12 weeks of aerobic physical activity or a sedentary group (n=17) who acted as nonexercising controls. Results: The exercise group increased their aerobic capacity (from 33±4
Web 2 . 0 Tools in the Innovation Process

There is a wide recognition that, innovation is a key and strategic process, that is, essential for the survival and growth of individual firms, and also, for sustainable national and regional economic growth. Meanwhile, on the one hand, collaboration is a necessary approach for the innovation process in today’s environment, and, on the other hand, information technology (IT) tools are indispensable means for collaboration across different boundaries. Web 2.0 is a new generation of web tools that are providing new ways for work and new opportunities for interaction and collaboration. These new tools are increasingly being used by various organizations to enhance collaboration, to the end of, supporting and improving the innovation process. This review aims to assess the extent and scope to which the literature has examined web 2.0 tools in the context of the innovation process. For this purpose, scholarly articles, published from 2002 to 2012, on each of the topics of innovation and web 2.0, were collected by the literature search. The study here adopted the systematic approach of lexical analysis for extracting relevant articles from the corpus and for the analysis of those articles.
Development and Validation of Academic Dishonesty Scale (ADS): Presenting a Multidimensional Scale

The purpose of the study was to develop a scale measuring academic dishonesty of undergraduate students. The sample of the study constitutes nine hundred undergraduate students selected via random sampling technique. After receiving expert’s opinions for the face and content validity of the scale, the exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were applied. EFA favored a six factor structure viz: cheating in examination; plagiarism; outside help; prior cheating; falsification and lying about academic assignments. Moreover, the findings obtained from the CFA showed that the structure consisting of 23 items and the six factors associated to academic dishonesty scale (ADS) had adequate consistency indices. The internal consistency indices, alpha coefficient (α=.831) is adequate for the academic dishonesty scale (ADS). Results from the study confirmed multidimensionality and robust psychometric properties of academic dishonesty scale.
Autografts promote post-operative activity level compared to allografts in posterior cruciate ligament reconstruction : a systematic review and meta-analysis

Objective: To compare the clinical outcomes of autografts with allografts in PCL reconstruction. Methods: Data bases including Pubmed, Cochrane Library databases, Web of Science, and Grey literature were searched from their inception to January, 2017. Literature search, quality assessment, and data extraction were independently conducted by two investigators. The data were analyzed by using the Cochrane Collaboration Review Manager software (RevMan, version 5.3). The primary outcomes were overall IKDC levels and subjective IKDC scores. The secondary outcomes included Lysholm scores, TAS, instrumented knee laxity test and complications. Results: A total of 5 studies containing 130 patients in autograft groups and 122 patients in allograft groups were included. Study quality was evaluated by using the Newcastle-Ottawa Scale (NOS) for assessing the quality of non-randomized studies in meta-analyses. The results of meta-analysis revealed that autografts can significantly promote the level of TAS (MD: 0.46, [95% CI: 0.03 to 0.90]; P=0.04) compared to allografts for patients after PCL reconstruction. As for complication aspect, paresthesias or pains at donor-site or incision were higher frequency of occurrence in autograft groups compared with allograft groups (OR: 4.46 [95% CI: 1.81 to 10.96]; P=0.001). There was no significant difference between autografts and allografts with respect to overall IKDC levels, subjective IKDC scores, Lysholm scores, and instrumented knee laxity test. Conclusions: Autografts can provide a higher level of postoperative activity than allografts for patients after PCL reconstruction. The finding is limited by the quantity of included literatures and the lack of randomized controlled trials.
CHEMICAL CHARACTERISTICS AND MICROBIAL DIVERSITY OF SOILS FROM MENENGAI CRATER IN KENYA

A total of 98 soil samples collected from Menengai geothermal site located in Nakuru, Kenya were analyzed for their chemical and microbial components. In region A, phosphorus, sodium, nitrogen and carbon were deficient, region B and C, phosphorus and manganese while in while in D the deficient minerals were phosphorus, sodium, nitrogen and carbon. Toxic minerals were calcium and magnesium in regions A, B, C and D. The most prevalent bacteria were Escherichia coli with a mean of (3.35×107) while the least were Bacillus sp. (1.40×105). Among the fungi, the most dominant were Aspergillus nomius with a mean of 4.42x 104 with the least been Panicillium sacculum (8.09×103). As much as geothermal exploration is important in boosting the country’s energy reserves, there is need to rehabilitate the caldera so as to restore the microbial composition of the region.
CANDIDATE WATER VAPOR LINES TO LOCATE THE H2O SNOWLINE THROUGH HIGH-DISPERSION SPECTROSCOPIC OBSERVATIONS. I. THE CASE OF A T TAURI STAR

Inside the H2O snowline of protoplanetary disks, water evaporates from the dust-grain surface into the gas phase, whereas it is frozen out onto the dust in the cold region beyond the snowline. H2O ice enhances the solid material in the cold outer part of a disk, which promotes the formation of gas-giant planet cores. We can regard the H2O snowline as the surface that divides the regions between rocky and gaseous giant planet formation. Thus observationally measuring the location of the H2O snowline is crucial for understanding the planetesimal and planet formation processes, and the origin of water on Earth. In this paper, we find candidate water lines to locate the H2O snowline through future high-dispersion spectroscopic observations. First, we calculate the chemical composition of the disk and investigate the abundance distributions of H2O gas and ice, and the position of the H2O snowline. We confirm that the abundance of H2O gas is high not only in the hot midplane region inside the H2O snowline but also in the hot surface layer of the outer disk. Second, we calculate the H2O line profiles and identify those H2O lines that are promising for locating the H2O snowline: the identified lines are those that have small Einstein A coefficients and high upper state energies. The wavelengths of the candidate H2O lines range from mid-infrared to sub-millimeter, and they overlap with the regions accessible to the Atacama Large Millimeter/sub-millimeter Array and future mid-infrared high-dispersion spectrographs (e.g., TMT/MICHI, SPICA).
Title Magnetic Alginate / Chitosan Nanoparticles for Targeted Delivery of Curcumin into Human Breast Cancer Cells

Curcumin is a promising anti-cancer drug but its applications in cancer therapy are limited due to its poor solubility, short half-life and low bioavailability. In this study, curcumin loaded magnetic alginate / chitosan nanoparticles were fabricated to improve the bioavailability, uptake efficiency and cytotoxicity of curcumin to MDA-MB-231 breast cancer cells. Alginate and chitosan were deposited on Fe3O4 magnetic nanoparticles based on their electrostatic properties. The sizes of the nanoparticles (120-200 nm) were within the optimum range for drug delivery. Sustained curcumin release was obtained use the nanoparticles with the ability to control the curcumin release rate by altering the number of chitosan and alginate layers. Confocal fluorescence microscopy results showed that targeted delivery of curcumin with the aid of magnetic field were achieved. The FACS assay indicated that MDA-MB-231 cells treated with curcumin loaded nanoparticles had a 36 folds uptake efficiency to those treated with free curcumin. MTT assay indicated that the curcumin loaded nanoparticles exhibited significantly higher cytotoxicity toward MDA-MB-231 cells than toward HDF cells. The sustained release profiles, enhanced uptake efficiency and cytotoxicity to cancer cells as well as the targeting potential make MACPs a promising candidate for cancer therapy.
Photochemical internalization of recombinant toxins targeting EGFR and HER2 for treatment of aggressive and resistant cancers

I avhandlingen blir det vist at målrettet PCI kan hemme vekst av eggstokkreft og hode/halskreft som er resistent mot mange av dagens tilgjengelige behandlingsalternativer. Studiene viser høy spesifisitet og effektivitet både på celler i kultur og i dyremodeller og tyder på at målrettet PCI behandling kan redusere bivirkninger og minske risiko for resistensutvikling sammenlignet med nåværende kreftterapi. Preklinisk målrettet PCI bør derfor utvikles videre for fremtidig pasientbehandling.
Nonparametric tests for detecting breaks in the jump behaviour of a time-continuous process

This paper is concerned with tests for changes in the jump behaviour of a time-continuous process. Based on results on weak convergence of a sequential empirical tail integral process, asymptotics of certain tests statistics for breaks in the jump measure of an It o semimartingale are constructed. Whenever limiting distributions depend in a complicated way on the unknown jump measure, empirical quantiles are obtained using a multiplier bootstrap scheme. An extensive simulation study shows a good performance of our tests in nite samples.
Neuromuscular differences of selected and non-selected Iraqi National Soccer players

Background: The purpose was to investigate anthropometric, neuromuscular and physiological differences between selected and non-selected Iraqi National soccer players in their preparation to the Olympic Games 2016. Methods: A total of 32 players (selected (N=16) and non-selected (N=16)) participated on three separate training camps. Each occasion was separated by four month and the following performances were measured: Cooper Test, countermovement jump with (CMJ) and without arms (SJ). The data collection was part of the national monitoring process of the U23-Iraq National Soccer team for their preparation for the Olympic Games 2016. All data were analyzed with independent t-tests for each occasion. Results: Selected players had significant higher SJ performance on the first testing and significant higher CMJ performance compared to non-selected players on every testing occasion. However, non-selected players had significant higher cooper-test performance for the first and second test occasion. Conclusion: It seems that neuromuscular performance such as the SJ and CMJ test separates selected U23-Iraqi National soccer players from their non-selected counterparts. Aerobic endurance capacity did not seem to be critical in the selection process.
Non-perturbative QCD effects in jets at hadron colliders

We discuss non-perturbative QCD contributions to jet observables, computing their dependence on the jet radius R, and on the colour and transverse momentum of the parton initiating the jet. We show, using analytic QCD models of power corrections as well as Monte Carlo simulations, that hadronisation corrections grow at small values of R, behaving as 1/R, while underlying event contributions grow with the jet area as R 2 . We highlight the connection between hadronisation corrections to jets and those for event shapes in e + e − and DIS; we note the limited dependence of our results on the choice of jet algorithm; finally, we propose several measurements in the context of which to test or implement our predictions. The results presented here reinforce the motivation for the use of a range of R values, as well as a plurality of infrared-safe jet algorithms, in precision jet studies at hadron colliders.
Combining Shallow and Deep Learning for Aggressive Text Detection

We describe the participation of team TakeLab in the aggression detection shared task at the TRAC1 workshop for English. Aggression manifests in a variety of ways. Unlike some forms of aggression that are impossible to prevent in day-to-day life, aggressive speech abounding on social networks could in principle be prevented or at least reduced by simply disabling users that post aggressively worded messages. The first step in achieving this is to detect such messages. The task, however, is far from being trivial, as what is considered as aggressive speech can be quite subjective, and the task is further complicated by the noisy nature of user-generated text on social networks. Our system learns to distinguish between open aggression, covert aggression, and non-aggression in social media texts. We tried different machine learning approaches, including traditional (shallow) machine learning models, deep learning models, and a combination of both. We achieved respectable results, ranking 4th and 8th out of 31 submissions on the Facebook and Twitter test sets, respectively.
Evolution of the Schrödinger--Newton system for a self--gravitating scalar field

Using numerical techniques, we study the collapse of a scalar field configuration in the Newtonian limit of the spherically symmetric Einstein-Klein-Gordon (EKG) system, which results in the so called Schrodinger-Newton (SN) set of equations. We present the numerical code developed to evolve the SN system and topics related, like equilibrium configurations and boundary conditions. Also, we analyze the evolution of different initial configurations and the physical quantities associated to them. In particular, we readdress the issue of the gravitational cooling mechanism for Newtonian systems and find that all systems settle down onto a 0-node equilibrium configuration. PACS numbers: 04.40. -b, 98.35. Jk, 98.62. Gq I. INTRODUCTION In a previous paper of ours(1), we studied the forma- tion of a gravitationally bounded object comprised of scalar particles, under the influence of Newtonian gravity. The dynamics of the system is described by the coupled Schrodinger-Newton (SN) system of equations, which is nothing but the weak field limit of its general relativistic counterpart, the Einstein-Klein-Gordon (EKG) system. As at the moment we have no hints to finding an an- alytic solution for the evolution, we found necessary to develop numerical techniques to study the formation pro- cess of the scalar objects. The study of the dynami- cal properties of the fully time-dependent SN system has been done before in the literature(2, 3, 4, 5), but more is needed in order to understand the gravitational collapse of a weakly gravitating scalar field. The main aim of this paper is to perform an exhaustive numerical study of the collapse and evolution of a spher- ically symmetric scalar object in the Newtonian regime. Here, we develop a numerical strategy to evolve the SN system, and study important issues like the stability and the formation process of gravitationally bound scalar sys- tems, a topic that has recently become attractive in Cos- mology (1, 2, 5, 6, 7, 8, 9). A summary of the paper is as follows. In Sec. II, we present the relativistic EKG and Newtonian SN equa- tions that describe the evolution of a self-gravitating scalar field in the spherically symmetric case. Corre- spondingly, it is described how the EKG and the SN