Miracle-dz/UniFAR-FTUs huggingface dataset:
CIMAvax-EGF: A New Therapeutic Vaccine for Advanced Non-Small Cell Lung Cancer Patients

Lung cancer is the common fatal illness with the highest incidence and mortality globally. Epidermal growth factor receptor overexpression by tumor cells is associated with uncontrolled proliferation, angiogenesis, anti-apoptotic signals, metastization, and invasiveness. CIMAvax-EGF vaccine consists of a chemical conjugate of the EGF with the P64 protein derived from the Meningitis B bacteria and Montanide ISA 51, as adjuvant. The vaccine is projected to induce antibodies against EGF that results in EGF withdrawal. CIMAvax-EGF demonstrated to be safe and immunogenic in advanced non-small cell lung cancer (NSCLC) patients. The efficacy study was an open-label, multicentric Phase III clinical trial, which enrolled 405 advanced NSCLC patients. Patients with proven stage IIIB/IV NSCLC, who had completed four to six cycles of chemotherapy (CTP) were randomized to receive CIMAvax-EGF or best supportive care. CIMAvax-EGF resulted in a significantly larger overall survival in patients receiving at least four doses. High EGF concentration at baseline was a good predictive biomarker of the vaccine activity and a poor prognostic biomarker for the non-treated population. The proportion of CD8+CD28− cells, CD4 cells, and the CD4/CD8 ratio after first-line CTP was also associated with CIMAvax-EGF clinical benefit. After completing the Phase III, a Phase IV trial was done where the vaccine was administered in primary care units. Administering the vaccine at primary care institutions granted better access and treatment compliance. Safety was confirmed. Several clinical trials are currently ongoing to validate EGF as a predictive biomarker of CIMAvax-EGF efficacy.
Image retrieval for information systems

In order to retrieve a set of intended images from a huge image archive, human beings think of special contents with respect to the searched scene, like a countryside or a technical drawing. Therefore, in general it is harder to retrieve images by using a syntactical feature- based language than a language which offers the selection of examples concerning color, texture, and contour in combination with natural language concepts. This motivation leads to a content-based image analysis and goes on to a content-based storage and retrieval of images. Furthermore, it is unreasonable for any human being to make the content description for thousands of images manually. From this point of view, the project IRIS (image retrieval for information systems) combines well-known methods and techniques in computer vision and AI in a new way to generate content descriptions of images in a textual form automatically. IRIS retrieves the images by means of text retrieval realized by the SearchManager/6000. The textual description is generated by four sub-steps: feature extraction like colors, textures, and contours, segmentation, and interpretation of part-whole relations. The system is implemented on IBM RS/6000 using AIX. It has already been tested with 350 images.
ESTIMATION OF FRACTAL INDEX AND FRACTAL DIMENSION OF A GAUSSIAN PROCESS BY COUNTING THE NUMBER OF LEVEL CROSSINGS

The fractal index (Y and fractal dimension D of a Gaussian process are characteristics that describe the smoothness of the process. In principle, smoother processes have fewer crossings of a given level, and so level crossings might be employed to estimate (Y or D. However, the number of crossings of a level by a non-differentiable Gaussian process is either zero or infinity, with probability one, so that level crossings are not directly usable. Crossing counts may be rendered finite by smoothing the process. Therefore, we consider estimators that are based on compar- ing the sizes of the average numbers of crossings for a small, bounded number of different values of the smoothing bandwidth. The averaging here is over values of the level. Strikingly, we show that such estimators are consistent, as the size of the smoothing bandwidths shrinks to zero, if and only if the weight function in the definition of 'average' is constant. In this important case we derive the asymptotic bias and variance of the estimators, assuming only a non-parametric description of covariance, and describe the estimators' numerical properties. We also introduce a novel approach to generating Gaussian process data on a very fine grid.
Attitudes toward punishment: public opinion and criminal justice.

Devintajame desimtmetyje Vakaru salių baudžiamoji teisė nuolat griežtėja. Vokietijoje bausmės taip pat griežtėja. Tai daryti skatina didėjantis nusikalstamumas. Jo istakos - imigrantą srautai, prisitaikymo prie skirtingi tradicijų sunkumai ir blogėjancios socialinės bei ekonominės sąlygos. Autoriai analizuoja baudžiamosios teisės skirtumus Rytų ir Vakarų Vokietijoje po susivienijimo. Nepaisant to, kad Rytų Vokietijoje buvo padaroma mažiau nusikaltimų, Rytų vokieciai gyveno komunistinėje sistemoje. Jai būdingas bausmių griežtumas. Rytu vokiecių gyvenimo sąlygos buvo ir yra ypac sunkios ir jie pritaria griežtesnėms bausmėms nei vakarieciai. Vakarų Vokietijoje staigus nusikalstamumo augimas nuo 8-ojo desimtmecio pradžios susijes su atsikėlusiais imigrantais, o kalinamųjų skaicius atspindi bausmių skyrimo sistemą. Nuo 8-ojo desimtmecio pradžios Vakarti Vokietijoje (jei neminėsime užsieniecių) nusikalstamumas nors ir didelis, bet pastovus.
Fusion Framework for Multimodal Biometric Person Authentication System

In recent years Biometric based Authentication systems have gained more attention due to frequent fraudulent attacks. Hence, this study aims at developing a multi-modal, multi-sensor based Person Authentication System (PAS) using Joint Directors of Laboratories (JDL) fusion model. This study investigates the need for multiple sensors, multiple recognition algorithms and multiple fusion levels and their efficiency for a Person Authentication System (PAS) with face, fingerprint and iris biometrics. The proposed system considers several environmental factors in the design. If one sensor is not functional, others contribute to the system making it fault- tolerant. Robustness has been tactfully administered to the processing module by employing different efficient algorithms for a given modality. Selection of the recognition algorithms is rooted on the attributes of the input and multiplicity has been employed to establish a unanimous decision. Information fusion at various levels has been introduced. A multitude of decisions are fused locally to decide the weight for a particular modality. Algorithms are tagged with weights based on their recognition accuracy. Weights are assigned to sensors based on their identification accuracy. Adaptability is incorporated by modifying the weights based on the environmental conditions. All local decisions are then combined to result in a global decision about the person. The final aggregation concludes whether 'The Person is Authenticated or not'.
Motivational Determinants of Vendor Side Project Performance on Outsourced ISD Projects

Existing research on Information Systems Development (ISD) contracts focuses on the stakeholder controlling the vendor on a single project. We extend this line of research and make three important contributions. First, we consider the fact that systems development organizations work on a portfolio of projects, and analyze how firms prioritize the effort expended on individual projects relative to other projects in their portfolio. Second, we consider the dynamics involved when performance on one project may lead the awarding of a future project. Third, we use ValenceInstrumentality-Expectancy (VIE) theory of work motivation (Vroom, 1964) to bring in valuable insight by analyzing this stream from the vendor side of the equation. These insights go beyond that provided by agency theory and organizational control mechanisms as they have hitherto focused on how clients control progress of ISD projects.
Multicyclic hoist scheduling with constant processing times

Proposes an exact algorithm for the multicyclic schedules of hoist moves in a printed circuit board (PCB) electroplating facility, where exactly r(r>1) parts enter and r parts leave the production line during each cycle, and the processing time at each production stage is a given constant. The multicyclic scheduling problem is transformed into enumeration of intervals for linear functions of decision variables. This enumeration is accomplished with a branch and bound procedure. At each node of the search tree, by solving a linear programming problem (LPP), either the corresponding partial solution is proved to be unable to lead to a feasible solution, or a lower bound is computed. Due to its particular structure, this LPP is equivalent to a cycle time evaluation problem in a bivalued graph which can be solved efficiently. The proposed algorithm is polynomial in the number of tanks for a fixed r, but exponential if r is arbitrary. Computational experience with both benchmark and randomly generated test instances is presented.
Emotional Abuse: Correlates to Abuse Among College Students

ABSTRACT Emotional abuse, also known as psychological maltreatment, is a significant health problem. Long-term outcomes of emotional abuse are quite negative and include physical and mental health disorders. The present study examined emotional abuse and correlates to such abuse among college students. The American College Health Association–National College Health Assessment II was completed by study participants at one urban, Midwestern university. A total of 777 students participated in the survey. Greater than one in 10 (10.7%) students reported being emotionally abused in the past year. The final logistic regression model found being female, being an older student, recent marijuana use, and being so depressed it was difficult to function were significant predictors of emotional abuse. Study findings suggest it may be important to screen high-risk students for emotional abuse as part of mental health treatment or other medical screenings. Given that one in 10 students experienced past year emotional abuse, it may also be crucial to raise awareness of emotional abuse on college campuses.
A Content Analysis of CBS’s Coverage of the 1996 Paralympic Games

We examined the landmark American television coverage of the 1996 Paralympic Games. Using a methodological framework developed by Duncan (1983, 1986) and drawing on critical concepts in the disability literature, we conducted a content analysis of the entire 4-hr prerecorded broadcast. Empowering and disempowering portrayals of athletes were identified. Some commentary contained many examples of stereotyping and positioned Paralympians as victims of misfortune, as different, as Other. Other commentary characterized Paralympians as “normal” and as no different from nondisabled athletes. The brevity of the coverage, the poor production values, and the absence of commentary about rules, strategies, and physical mastery suggested that the Paralympic Games were less than, not parallel to, the Olympics. A “hierarchy of (social) acceptability” was useful in explaining differences among the way Paralympic athletes were portrayed by television coverage.
Understanding Objects in Detail with Fine-Grained Attributes

We study the problem of understanding objects in detail, intended as recognizing a wide array of fine-grained object attributes. To this end, we introduce a dataset of 7, 413 airplanes annotated in detail with parts and their attributes, leveraging images donated by airplane spotters and crowd-sourcing both the design and collection of the detailed annotations. We provide a number of insights that should help researchers interested in designing fine-grained datasets for other basic level categories. We show that the collected data can be used to study the relation between part detection and attribute prediction by diagnosing the performance of classifiers that pool information from different parts of an object. We note that the prediction of certain attributes can benefit substantially from accurate part detection. We also show that, differently from previous results in object detection, employing a large number of part templates can improve detection accuracy at the expenses of detection speed. We finally propose a coarse-to-fine approach to speed up detection through a hierarchical cascade algorithm.
A geometric approach to register transfer level satisfiability

In this paper, inequalities of integer hull polyhedrons are used in mixed integer linear programming (MILP) to model the behavior of combinational subsys- tems, introducing a new solution for the satisfiability (SAT) problem at register transfer level (RTL). Since in these models the vertexes are located at integer positions, they can be used with linear programming (LP) to solve SAT problems. Unfortunately, when combining together several models to make up a compound RTL description, internal vertexes may appear forcing to declare one or more vari- ables as integer. However, the use of these models inside an RTL SAT problem reduces the number of branches needed to solve the whole integer problem. Results show a CPU solution time reduction greater than one order of magni- tude, growing with the size of the problem.
Assimilationist Ideology and Minority Language Rights: The Case of Manchu Language Endangerment and Revitalization

This study investigates the influence of assimilationist ideology and policies on the surprisingly severe Manchu language endangerment via a social-historical analysis. Building on an examination of two language policy models and four historical stages of minority language education since the establishment of the People’s Republic of China, this study highlights the importance of viewing Manchu language as minority language speakers’ necessary human rights. In order to emphasize human agency considerations, this study also argues for the promising involvement of local educators and communities in planning for Manchu language revitalization. Suggestions for ideological shifts and implementational concerns are provided to address various sociopolitical and economic constraints, and to empower Manchus to contest the historical injustice Manchus have experienced by actively protecting their language rights and resources.
Hybrid Digital-Analog Noisy Network Coding

We investigate noisy network coding strategies for the two-way Gaussian relay channel. We present three hybrid digital-analog noisy network coding schemes. The schemes are constructed by combination of linear analog noisy network coding, Wyner-Ziv- based compress-and-forward, and noisy network coding as proposed by Lim et al. We show that our proposed schemes outperform existing protocols for this problem.
New combinatorial computational methods arising from pseudo-singletons

Since singletons are the connected sets, the species $X$ of singletons can be considered as the combinatorial logarithm of the species $E(X)$ of finite sets. In a previous work, we introduced the (rational) species $\widehat{X}$ of pseudo-singletons as the analytical logarithm of the species of finite sets. It follows that $E(X) = \exp (\widehat{X})$ in the context of rational species, where $\exp (T)$ denotes the classical analytical power series for the exponential function in the variable $T$. In the present work, we use the species $\widehat{X}$ to create new efficient recursive schemes for the computation of molecular expansions of species of rooted trees, of species of assemblies of structures, of the combinatorial logarithm species, of species of connected structures, and of species of structures with weighted connected components.
Some Remarks on the Evolution of Bohm ’ s Proposals for an Alternative to Standard Quantum Mechanics

In this paper an account of Bohm’s own attitude to his early papers on an alternative interpretation to quantum theory is presented. He has made it clear that it was never his intention to return to a deterministic mechanical theory, rather it was an attempt to show that an alternative was possible and, in itself, may provide clues for further developments. From the earliest he felt that a more radical approach was needed, an approach that depended on his notion of structure process. In such an approach the particle must not be regarded as some a priori given immutable entity, but must take its dynamical properties from the environment in which it finds itself so that the notion of wholeness, so important to both Bohr and Bohm, could be a fundamental part of the description. It will be argued that the essential feature of his later ideas of the implicate order were already present in his early work in “Causality and Chance” written shortly after his original proposals.
Forward and robust selection of the most potent and noncellular toxic siRNAs from RNAi libraries

Use of highly potent small interfering RNAs (siRNAs) can substantially reduce dose-dependent cytotoxic and off-target effects. We developed a genetic forward approach by fusing the cytosine deaminase gene with targets for the robust identification of highly potent siRNAs from RNA interference (RNAi) libraries that were directly delivered into cells via bacterial invasion. We demonstrated that two simple drug selection cycles performed conveniently in a single container predominately enriched two siRNAs targeting the MVP gene (siMVP) and one siRNA targeting the egfp gene (siEGFP) in surviving cells and these proved to be the most effective siRNAs reported. Furthermore, the potent siRNAs isolated from the surviving cells possessed noncellular toxic characteristics. Interestingly, the length of highly potent siMVPs identified could be as short as 16-mer, and increasing the length of their native sequences dramatically reduced RNAi potency. These results suggest that the current approach can robustly discover the most potent and nontoxic siRNAs in the surviving cells, and thus has great potential in facilitating RNAi applications by minimizing the dose-dependent and sequence nonspecific side effects of siRNAs.
The Elements of Statistical Learning in Colon Cancer Datasets: Data Mining, Inference and Prediction

Data mining is used in various medical applicat ions like tumo r classification, protein structure prediction, gene classification, cancer classification based on microarray data, clustering of gene expression data, statistical model of protein-protein interaction etc. Adverse drug events in prediction of medical test effectiveness can be done based on genomics and proteomics through data min ing approaches. Cancer detection is one of the hot research topics in the bioinformat ics. Data mining techniques, such as pattern recognition, classificat ion and clustering is applied over gene expression data for detection of cancer occurrence and survivability. Classification of colon cancer dataset using weka 3.6, in which Logistics, Ibk, Kstar, NNge, ADTree, Rando m Forest Algorith ms show 100 % correctly classified instances, followed by Navie Bayes and PA RT with 97.22 %, Simp le Cart and Zero R has shown the least with 50 % of correctly classified instances. Kappa Statistic for Logistics, Ibk, Kstar, NNge, ADTree, Rando m Forest has shown Maximu m. Mean absolute error and Root mean squared error are shown low for Logistics, Kstar and NNge. Using various Classification algorithms the cancer dataset can be easily analy zed.
PERENCANAAN STRATEGIS DALAM PERSPEKTIF ORGANISASI

Perencanaan strategis merupakan perencanaan untuk mencapai tujuan organisasi dengan menggunakan sumber daya yang ada. Perencanaan strategis sangat penting dalam organisasi karena perencanaan strategis ini berlaku bagi organisasi secara keseluruhan. Perencanaan strategis dirancang sebagai perencanaan organisasi dalam jangka panjang dan dijadikan pedoman untuk menjabarkan perencanaan-perencanan lainnya sebagai perencanaan jangka pendek. Organisasi yang memiliki perencanaan strategis berarti memiliki dasar yang kuat dalam menjalankan semua aktivitasnya sehingga berguna untuk memastikan agar semua anggota organisasi bekerja ke arah tujuan yang sama. Perencanaan strategis sangat bermanfaat untuk mencapai tujuan organisasi.
Investigation of the Rate-Determining Process in the Hepatic Elimination of HMG-CoA Reductase Inhibitors in Rats and Humans

Elucidation of the rate-determining process in the overall hepatic elimination of drugs is critical for predicting their intrinsic hepatic clearance and the impact of variation of sequestration clearance on their systemic concentration. The present study investigated the rate-determining process in the overall hepatic elimination of the HMG-CoA reductase inhibitors pravastatin, pitavastatin, atorvastatin, and fluvastatin both in rats and humans. The uptake of these statins was saturable in both rat and human hepatocytes. Intrinsic hepatic clearance obtained by in vivo pharmacokinetic analysis in rats was close to the uptake clearance determined by the multiple indicator dilution method but much greater than the intrinsic metabolic clearance extrapolated from an in vitro model using liver microsomes. In vivo uptake clearance of the statins in humans (pravastatin, 1.44; pitavastatin, 30.6; atorvastatin, 12.7; and fluvastatin, 62.9 ml/min/g liver), which was obtained by multiplying in vitro uptake clearance determined in cryopreserved human hepatocytes by rat scaling factors, was within the range of overall in vivo intrinsic hepatic clearance (pravastatin, 0.84-1.2; pitavastatin, 14-35; atorvastatin, 11-19; and fluvastatin, 123-185 ml/min/g liver), whereas the intrinsic metabolic clearance of atorvastatin and fluvastatin was considerably low compared with their intrinsic hepatic clearance. Their uptake is the rate-determining process in the overall hepatic elimination of the statins in rats, and this activity likely holds true for humans. In vitro-in vivo extrapolation of the uptake clearance using a cryopreserved human hepatocytes model and rat scaling factors will be effective for predicting in vivo intrinsic hepatic clearance involving active uptake.
Strongly coupled fourth generation at the LHC

We study extensions of the standard model with a strongly coupled fourth generation. This occurs in models where electroweak symmetry breaking is triggered by the condensation of at least some of the fourth-generation fermions. With focus on the phenomenology at the LHC, we study the pair production of fourth-generation down quarks, D{sub 4}. We consider the typical masses that could be associated with a strongly coupled fermion sector, in the range (300-600) GeV. We show that the production and successive decay of these heavy quarks into final states with same-sign dileptons, trileptons, and four leptons can be easily seen above background with relatively low luminosity. On the other hand, in order to confirm the presence of a new strong interaction responsible for fourth-generation condensation, we study its contribution to D{sub 4} pair production, and the potential to separate it from standard QCD-induced heavy quark production. We show that this separation might require large amounts of data. This is true even if it is assumed that the new interaction is mediated by a massive colored vector boson, since its strong coupling to the fourth generation renders its width of the order of its mass. We conclude that, although this class ofmore » models can be falsified at early stages of the LHC running, its confirmation would require high integrated luminosities. « less