Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Criteria Decision Support Methods for Renewable Energy Systems on Islands

Islands often are confronted with severe energy challenges especially those far from the main land which operate as isolated energy systems. In those cases electricity, the queen of the energy vectors shall be obtained from diversified sources to alleviate the burden of the dependence on fossil fuels. Thereby, the generation of electricity from renewable energy sources in combination with electricity storage becomes an irrecusably challenge in the nearby future. Often a variety of criteria can be applied to identify the suitability of technologies, whereas no ideal family of criteria has been defined in the literature. Hence, decision support for energy planning and management is required. This paper reviews the state-of-the-art of multi-criteria decision support methods applied to renewable energy and storage technologies. It will be analyzed where the current focus is placed on. The gaps of those analyzed studies will be evaluated and key aspects for future energy planning considerations for islands will be proposed. Finally, an outlook for a newly developed concept for island energy planning will be presented. Indeed, for most isolated islands renewable energy technologies in combination with storage devices are a desirable and valued solution for sustainable development.
The Risk-Taking Channel of Monetary Policy – Exploring All Avenues

It is well established that when monetary policy is accommodative, banks tend to grant more credit. However, only recently attention was given to the quality of credit granted and, naturally, the risk assumed during those periods. This article makes an empirical contribution to the analysis of the so-called risk-taking channel of monetary policy. We use bank loan level data and different methodologies to test whether banks assume more credit risk when monetary policy interest rates are lower. Our results provide evidence in favor of this channel through different angles. We show that banks, most notably smaller banks, grant more loans to non-financial corporations with recent defaults or without credit history when policy interest rates are lower. We also find that loans granted when interest rates are low are more likely to default in the hiking phase of the interest rate cycle. However, the level of policy interest rates at the moment of loan concession does not seem to be relevant for the ex-post probability of default of the overall loan portfolio.
Contextualized Knowledge Repositories with Justifiable Exceptions

Representation of context dependent knowledge in the Semantic Web has been recognized as a relevant issue: as a consequence, a number of logic based formalisms have been proposed in this regard. In response to this need, in previous works, we presented the description logic-based Contextualized Knowledge Repository (CKR) framework. Starting from this point, the first contribution of the paper is an extension of CKR with the possibility to represent defaults in context dependent axioms and a translation of extended CKRs to datalog programs with negation under answer sets semantics. The translation generates datalog programs which are sound and complete w.r. t. instance checking in CKRs. Exploiting this result, we have developed as a second contribution a prototype implementation that compiles a CKR based on OWL2RL to a datalog program. Finally, we compare our approach with major non-monotonic formalisms for description logics and contextual knowledge representation.
Interest Similarity of Group and the Members: the Case study of Citeulike

In this Web 2.0 era, many social Web systems support group activities. Groups are centered on the utility of information usefulness. Users join the same group on the Web because they are interested in the same topic in terms of a community of interest or practice. Herein, we examine the information similarity in self-defined group networks and specifically address not only the similarities between the same group members, but also the similarities between a group and the members. Our study found that a pair of users who are the members of the same group share significantly higher similarity in their personal collection than other pairs who are not members of any of the same groups on all explored levels (items, metadata, and tags). Especially, the degrees of similarity on the metadata and tag levels are much larger than the item similarity. The degree of the similarities between a group and the members, however, is much higher than the similarities of the same group members. More than 40% of all users have collections which are at least 50% overlapped with their group’s collections. These results show that group is good source of information, but each member has his own specific information needs and it is rarely similar to other members. Another interesting property of information-sharing in groupbased networks is that the number of groups that a user joined has significantly positive correlation with the size of their personal collection. Lastly, some members play an active role in introducing interesting information to their groups and further, some other members were perfectly influenced by the group collection (100% matches with the group collection). Overall, our findings support that groups could be feasible for guiding users to useful information.
Alemtuzumab in the treatment of multiple sclerosis: patient selection and special considerations

Multiple sclerosis (MS) is among the most common chronic inflammatory diseases of the central nervous system. Although not curable, the constantly increasing armamentarium of disease-modifying drugs now allows control of disease activity in many patients. The humanized monoclonal antibody alemtuzumab is a powerful drug licensed for the treatment of MS. Upon binding to the CD52 surface protein on CD4+ and CD8+ T cells, B cells, and monocytes, circulating CD52+ cells are eliminated via antibody- and complement-mediated lysis, and a less autoreactive adaptive immune system is reconstituted. The efficacy of alemtuzumab in terms of both clinical and magnetic resonance imaging outcomes has been demonstrated in several phase II/III trials including long-term extensions and follow-up studies. Treatment response to alemtuzumab is strongest as long as active inflammation is the predominant pathophysiological feature, and it is becoming less efficacious in neurodegeneration-dominated later stages of the disease. Thus, the optimal placement of alemtuzumab within treatment algorithms of MS is crucial. The impressive efficacy of alemtuzumab is counteracted by a less favorable safety profile. Besides usually manageable infusion-associated side effects, development of secondary autoimmunity in almost half of treated patients is the most disconcerting risk of alemtuzumab. The high frequency, the delayed occurrence, and the potentially severe course of secondary autoimmune diseases require awareness and a close long-term monitoring of patients treated with alemtuzumab. Biomarkers that would allow prediction of treatment response to alemtuzumab on the one hand and identification of patients at risk for the development of secondary autoimmune diseases on the other are not yet available. Thus, the overall success of alemtuzumab treatment critically depends on the patient selection. The aim of this article is therefore, to characterize the significance of alemtuzumab in the treatment of MS with a focus on the selection of the optimal patient.
Psychosocial interventions and medication adherence in bipolar disorder

Recent research has indicated that psychosocial interventions can have a valuable role in reducing the substantial psychosocial disability associated with bipolar disorder. Randomized controlled trials of these interventions indicate that improvements are seen in symptoms, psychosocial functioning, and treatment adherence. These interventions systematically presented in the form of standardized treatment manuals, vary in format, duration, and theoretical basis. All are meant to augment pharmacotherapy, which represents the standard of treatment in the field. Modalities that have gathered the most empirical support include cognitive-behavioral therapy, familyfo-cused therapy, interpersonal and social rhythms therapy, and psychoeducation. The enhancement of adherence to pharmacotherapy is a common therapeutic target, due to the association of nonadherence with higher relapse rates, hospitalization, and health care costs among people with bipolar disorder. Given the complexity of nonadherence behavior, multicomponent interventions are often required. In this review, we provide an overview of the rationale, evidence base, and major psychotherapeutic approaches in bipolar disorder, focusing on the assessment and enhancement of medication adherence.
A fast crosstalk- and performance-driven multilevel routing system

In this paper, we propose a novel framework for fast multilevel routing considering crosstalk and performance optimization. To handle the crosstalk minimization problem, we incorporate an intermediate stage of layer/track assignment into the multilevel routing framework. For performance-driven routing, we propose a novel minimum-radius minimum-cost spanning-tree (MRMCST) heuristic for global routing. Compared with the state-of-the-art multilevel routing, the experimental results show that our approach achieved a 6.7X runtime speedup, reduced the respective maximum and average crosstalk (coupling length) by about 30% and 24%, reduced the respective maximum and average delay by about 15% and 5%, and resulted in fewer failed nets.
Modeling of Customer Centric eGovernment System using Petri Nets

A customer centric e-Governement system provides services through delivery channels and is being operated by internal users (designated functionaries for processing), whenever required. The customers could be citizen, employees, government users, business users, etc . This paper proposes Petri Nets (PN) as modeling language for Customer centric eGovernment system, which is modeled as Discrete event driven system. The graphical representation of PN describes dynamic behaviour of system. Petri Nets enable the visualization of the modeled system state changes. The process cycle can be expressed in terms of occurrence of events and conditions in a system. A simulation tool has been used to develop PN model for eGovernment systems and presented as illustration. The system types considered are Single Function Single Processing Stage (SFSPS), Single Function Multiple Processing Stages (SFMPS) and Multi Functions Multiple Processing Stages (MFMPS). The model developed can be simulated to exhibit system behaviour without construction. The designers and system analysts can build necessary information system based on PN model with desired technology platforms.
Walking on the WILD side: lessons from university women and a university wide leadership program

This paper was prompted by an Australian Universities Quality Agency (AUQA) recommendation in the 2006 Murdoch University audit report, as well as our own perceived inconsistency between espoused equity values, and the realities for women academics. While the sector has had increasing government regulation more broadly, gender parity in governance for Universities has gone largely unnoticed by successive governments. This paper will explore some of these national higher education issues alongside the institutional and move towards a more multilevel analysis.
PENGARUH PENGGUNAAN WESTERN MODEL SEBAGAI BRAND AMBASSADOR TERHADAP SIKAP PADA IKLAN SERTA DAMPAKNYA TERHADAP MINAT BELI (Survei Online Minat Beli Produk Kosmetik Maybelline New York di Indonesia)

Along with the intense business competition, marketers from multinational cosmetic companies often feature Western model in their advertising campaign as well as a brand ambassador. This is a way for marketers to gain a global perception of a brand. The purpose of this research is to find out the influence of Western model as a brand ambassador of Maybelline New York cosmetic on consumer’s attitude towards the advertisement and intention in purchasing the products. This research was conducted in Indonesia and used explanatory research with quantitative approach. Data collection method used is online survey method through distribution of questionnaires by internet applications to respondents. The population in this research are male and female of at least 18 years old who know Maybelline New York brand, knowing brand ambassador of Maybelline New York (Gigi Hadid), and have seen a Maybelline New York advertisement featuring Gigi Hadid. This research used purposive sampling technique with total sample 118 respondents. The data analysis techniques used in this research are descriptive analysis and path analysis. Kеywords: western model, brand ambassador, attitude towards the advertisement, purchase intention АBSTRАK Sеіrіng dеngan kеtatnya pеrsaіngan bіsnіs, pеmasar darі pеrusahaan kosmеtіk multіnasіonal sеrіngkalі mеnеrapkan stratеgі pеmasaran dеngan mеnampіlkan modеl Barat ( Wеstеrn modеl ) dalam kampanyе pеrіklanan sеkalіgus sеbagaі brand ambassador . Hal tеrsеbut adalah salah satu cara pеmasar untuk mеraіh pеrsеpsі global darі sеbuah mеrеk. Tujuan pеnеlіtіan іnі adalah untuk mеngеtahuі bagaіmana pеngaruh modеl Barat sеbagaі sеorang brand ambassador kosmеtіk Maybеllіnе Nеw York tеrhadap sіkap konsumеn pada іklan dan mіnat pеmbеlіan produk. Pеnеlіtіan іnі dіlakukan dі Іndonеsіa dan mеnggunakan jеnіs pеnеlіtіan еxplanatory rеsеarch dеngan pеndеkatan kuantіtatіf. Mеtodе pеngumpulan data yang dіgunakan yaіtu mеtodе survеі onlіnе mеlaluі pеmbagіan kuеsіonеr mеnggunakan aplіkasі іntеrnеt kеpada rеspondеn. Populasі dalam pеnеlіtіan іnі adalah prіa atau pеrеmpuan bеrusіa mіnіmal 18 tahun yang mеngеtahuі mеrеk Maybеllіnе Nеw York, mеngеtahuі brand ambassador Maybеllіnе Nеw York (Gіgі Hadіd), dan pеrnah mеlіhat іklan Maybеllіnе Nеw York yang mеnampіlkan Gіgі Hadіd. Pеnеlіtіan іnі mеnggunakan tеknіk pеnarіkan sampеl purposіvе samplіng , dеngan total sampеl 118 orang rеspondеn. Analіsіs data mеnggunakan analіsіs dеskrіptіf dan analіsіs jalur ( path analysіs ). Kаtа Kuncі: wеstеrn modеl, brand ambassador , modеl barat, sіkap pada іklan, mіnat bеlі
THE SPEED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR USING FUZZY LOGIC AND SELF TUNING FUZZY PI CONTROLLER Abdulhakim KARAKAYA Ercüment KARAKA Ş

This paper obtains a nonlinear mathematical model of PMSM, and realizes simulation of obtained model in Matlab/Simulink program. Speed control of motor model is made with Fuzzy Logic (FL) and Self Tuning FLPI (STFLPI) controllers. Controller performances are compared from the speed graphs obtained.
Equity, Exclusion and Everyday Science Learning

Featured in the Spokes article collection Learning theory, Equity and inclusion What’s the biggest problem affecting the science centre, science museum, informal science learning and science communication sectors? For me, it’s how science learning and engagement practices cater for the dominant groups in our societies at the expense of minoritised groups. Many of us claim that ‘science for all’ is a core value in our professional practice. But my research shows that exclusion is embedded across the different practices that try to bring publics and sciences together. Informal science learning and science communication practices reproduce rather than ameliorate social inequalities. I know this is unacceptable to many of us, so what do we do?
Outbreaks of Virulent Infectious Bursal Disease in Flocks of Battery Cage Brooding System of Commercial Chickens

Clinical and pathological investigations were conducted on outbreaks of infectious bursal disease (IBD) in pullets under brooding using the battery cage system in a commercial poultry farm in Kaduna, Nigeria. Two consecutive outbreaks of IBD on the same farm were studied. The onset of the disease and morbidity and mortality rates were recorded. Postmortem examinations were conducted and gross lesions recorded. Tissues were collected and fixed in 10% buffered formalin and processed for histopathological examinations. In the first outbreak, 80 to 100% of the chicks were affected at the age of 4 to 5 weeks and mortality rate was 95.8% and lasted for 9 days. In the second outbreak, the mortality rate was 43.3% and it also lasted for 9 days. At the onset of the disease, the birds were also 4-week-old like in case 1. The disease was diagnosed based on clinical signs, pathology, and agar gel immunodiffusion test (AGID). Clinical signs, gross lesions, and histopathological findings were characteristic of virulent infectious bursal disease. After the first outbreak (case 1) the house was disinfected using polidine® (iodophor compound), V-ox® (inorganic peroxygen compounds), CID20® (quaternary ammonium chloride, aldehydes, and alcohol), terminator III® (phenols), and glutasan® (aldehyde and quaternary ammonium chloride). But they failed to eliminate the IBD virus from the poultry pen.
Performance Comparison of TH-BPPM/TH-BPSK using Rake Receivers in IEEE 802.15.4a Channel Model

We study the channel model for IEEE 802.15. 4a which is different from general channel model or the IEEE 802.15. 3a channel model. Under the IEEE 802.15. 4a channel environments, performance of TH-BPPM and TH-BPSK systems using S-Rake and P-Rake is evaluated. In the 802.15. 4a system, complexity and cost are two important issues which need to be taken into consideration. The complexity of detection can be reduced with S-Rake and P-Rake. Especially, P-Rake can reduce complexity greatly because no channel estimation is needed. Simulation results show that the TH-BPSK system achieves better performance than the TH-BPPM system
Impact of socio-demographic variables and morbid conditions on general health component of perceived health using SF-36 form

Background: Perceived health (PH) is a subjective assessment of the health and it is a strong, independent and reliable predictor of morbidity, mortality. It includes so many aspects that are difficult to capture clinically such as incipient disease, physiological, psychological reserves. We assessed the impact of diabetes mellitus (DM), hypertension (HTN), co-morbidity and other associated factors on the general health (GH) dimension of the PH of the patients attending the outpatient department (OPD), Inpatient department (IPD), rural health training centre (RHTC) and urban health training centre (UHTC) of Shri Ram Murti Smarak Institute of Medical Sciences (SRMS, IMS), Bareilly.Methods: PH status of the patients was assessed by the GH dimension of the physical component summary of PH using the 36-Items short form health survey (SF-36). Results: The impact of morbidity deteriorate the GH score but hypertensive patients scored poor results as compared to those with DM and comorbid patients (p>0.05). Age was inversely related with GH scores but male gender, higher education (p<0.05) and good occupation were all associated with higher GH score. There was not much influence of geographical area on the GH scores but urban score slightly better and the association was insignificant (p>0.05). Conclusions: Male young patients from urban area, educated and good job performed better score for GH and association was significant for education and occupation. The presence of morbidity and co-morbid condition deteriorate the GH of the patients. The impact of various socio-demographic factors on the PH status was also evident in the study.
Non-invasive aneuploidy detection using free fetal DNA and RNA in maternal plasma: recent progress and future possibilities.

BACKGROUND Cell-free fetal DNA (cff DNA) and RNA can be detected in maternal plasma and used for non-invasive prenatal diagnostics. Recent technical advances have led to a drastic change in the clinical applicability and potential uses of free fetal DNA and RNA. This review summarizes the latest clinical developments in non-invasive prenatal diagnosis in the context of the latest technical developments. METHODS We searched PubMed with the search terms 'prenatal', 'non-invasive', 'fetal DNA', 'mRNA' and cross-referenced them with 'diagnostics', 'microRNA', 'aneuploidy', 'trisomy' and 'placenta'. We also searched the reference list of the articles identified by this search strategy. RESULTS Genome-wide methods have been, or can be, successfully applied on total DNA (DNA-seq), methylated DNA immunoprecipitation (with tiling array), microRNA (Megaplex) and total RNA (RNA-seq). Chromosome- or gene-specific assays have been successively applied on placenta RNA (allele ratio) or DNA multiplex ligation-dependent probe amplification (MLPA). These methods are reviewed for their merits and pitfalls with consideration of the placental biology. For the purpose of clarity, the technical and clinical characteristics are limited to non-invasive prenatal detection of chromosomal aneuploidies, with emphasis on trisomy 21. CONCLUSIONS The technical advances for non-invasive aneuploidy tests based on cff DNA and placental mRNA in maternal plasma have been enormous. Multimarker assays including genome-wide approaches with the option of qualitative information on variation (polymorphism or mutation) besides quantitative information are the preferred methods of choice. The time for population-based, double blind, large-scale clinical cohort trials has come.
Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models

The need to understand differences among general circulation model projections of CO2-induced climatic change has motivated the present study, which provides an intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models. This intercomparison uses sea surface temperature change as a surrogate for climate change. The interpretation of cloud-climate interactions is given special attention. A roughly threefold variation in one measure of global climate sensitivity is found among the 19 models. The important conclusion is that most of this variation is attributable to differences in the models' depiction of cloud feedback, a result that emphasizes the need for improvements in the treatment of clouds in these models if they are ultimately to be used as reliable climate predictors. It is further emphasized that cloud feedback is the consequence of all interacting physical and dynamical processes in a general circulation model. The result of these processes is to produce changes in temperature, moisture distribution, and clouds which are integrated into the radiative response termed cloud feedback.
Hubble Space Telescope/NICMOS Observations of Massive Stellar Clusters near the Galactic Center

We report Hubble Space Telescope (HST) Near-Infrared Camera and Multiobject Spectrometer (NICMOS) observations of the Arches and Quintuplet clusters, two extraordinary young clusters near the Galactic center. For the first time, we have identified main-sequence stars in the Galactic center with initial masses well below 10 M☉. We present the first determination of the initial mass function (IMF) for any population in the Galactic center, finding an IMF slope that is significantly more positive (Γ ≈ -0.65) than the average for young clusters elsewhere in the Galaxy (Γ ≈ -1.4). The apparent turnoffs in the color-magnitude diagrams suggest cluster ages that are consistent with the ages implied by the mixture of spectral types in the clusters; we find τage ~ 2 ± 1 Myr for the Arches cluster and τage ~ 4 ± 1 Myr for the Quintuplet. We estimate total cluster masses by adding the masses of observed stars down to the 50% completeness limit and then extrapolating down to a lower mass cutoff of 1 M☉. Using this method, we find ≳104 M☉ for the total mass of the Arches cluster. Such a determination for the Quintuplet cluster is complicated by the double-valued mass-magnitude relationship for clusters with ages ≳3 Myr. We find a lower limit of 6300 M☉ for the total cluster mass and suggest a best estimate of twice this value, which accounts for the outlying members of the cluster. Both clusters have masses that place them as the two most massive young clusters in the Galaxy.