Miracle-dz/UniFAR-FTUs huggingface dataset:
VALIDATION OF NURSING OUTCOMES’ INDICATORS OF NURSING OUTCOMES CLASSIFICATION OF SELF-CARE FOR PATIENTS WITH STROKE

Background: Evaluation of nursing outcome based Nursing Outcome Classification (NOC) is very important. However, there is dearth of information regarding its validation in Indonesian language. Objective: To validate four nursing outcomes’ indicators of the Nursing Outcome Classification (NOC) for stroke patients with self-care deficit problems.Methods: This was a descriptive quantitative study with cross sectional design. Outcomes indicators of self-care: bathing, dressing, eating, and toileting were developed for measuring its relevance, clarity, simplicity and ambiguity. Content validity index was used for analysis, which involved three nursing experts.Results: Out of the 59 outcome indicators, 49 (83.05%) were considered as passing indicators and 10 (16.95%) were eliminated.Conclusion: The passing indicators can be applied in caring for stroke patients. The NOC indicators can be implemented in clinical setting, particularly for stroke patient with self -are deficit problems.
MANAGEMENT MECHANISM IN THE FEDERATED CLOUD FOR A ROBUST REPUTATION

It was very dynamic and distributed cloud services, user trust management among cloud services is a difficult challenge. Ensuring access to trusted management service is a very different challenge given the dynamic nature of the cloud environment. User feedback is a good source of cloud services such as overall reliability. In our work, improvisation and cloud-lit fiduciary management, proposing new ways to ensure loyalty and trust structure feedback project is based on a new cloud management report. This structure will be detrimental to use the art to identify a compelling commentary comment. He was betrayed the trust service here Investment Funds Management Committee of the distributed nodes in my extended decentralized manner. cloud-based management structure provides many new features in the distribution of trust in the trust service, including a new procedure to protect evaluations of trusted users demonstrate trust and privacy; stood in the fear of the shrewd, representing the execution of reliable users to measure the offices of a large wrongdoer have placed their cloud trust; Decentralized execution of management and loyalty services.
Energy and Communication Requirements for Network of E-Band Radars as Sensors

E-band radars EBR are very promising short distance high-resolution sensors for safety and smart city solutions. In order to achieve larger scale coverage, we have investigated possibility of gaining raw signal from multiple EBRs for purpose of centralized data processing and fusion. Based on publicly available data about EBR ranges, resolution and data formats, we have considered requirements for implementation of communication and power network for them. We have presented data for both static and dynamic scenario. In static scenario EBR positions are fixed, while in dynamic scenario some of EBRs are located on vehicles with known position obtained by GPS.
Labor Unemployment Risk and Sticky Cost Behavior

This paper presents large-sample evidence that firms consider labor unemployment risk when setting their resource adjustment policies. Prior studies find that costs rise more in response to sales increases than they fall in response to sales decreases. Anderson, Banker, and Janakiraman (2003) term this phenomenon “cost stickiness” and attribute it to managers’ deliberate adjustment to committed resources in the existence of adjustment costs. We argue that workers’ unemployment costs constitute non-trivial costs of downsizing labor forces in particular and adjusting resources downward in general. To the extent that state unemployment insurance benefits offset the costs borne by involuntarily displaced workers, the generosity of unemployment insurance can inversely capture the heterogeneous levels of workers’ unemployment costs and in turn firms’ downward adjustment costs. We predict and find that more generous unemployment insurance benefits lead to lower stickiness of selling, general, and administrative (SG&A) costs. This finding is robust to controlling for firm-level determinants of cost stickiness, state-wide economic conditions, and unobservable time-invariant state characteristics. Additional analysis shows that the results for SG&A costs are also applicable to other cost accounts. Overall, our study enriches the understanding of sticky cost behavior and takes an early step to examine the accounting implications of labor unemployment risk.
Innovation for Food Security and Nutrition in Kenya Towards Attainment of The Big Four:A Review of Chelelang’ the Wonder Bean Technology

Various genetic and environmental factors adversely affect the yield of beans in East and southern Africa.These include climate change variables such as temperature,moisture,pests, diseases and soils.This paper reviews genetically superior genotypes with reference to yields of various bean lines and varieties in east and South Africa.Also considered were two climatic variables including: temperatures and moisture.A series of on-farm and station trials were carried out to screen lines and varieties from five international nurseries in Kenya,Uganda,Tanzania,Rwanda and Burundi.Sixty four (64) genotypes were screened in Nakuru,Bomet and Meru districts.Using farmer field schools and on station trials in Kaguru-Meru,Egerton-Nakuru and Bomet.The trial yielded superior bean genotypes such as Ciankui,Tasha and the EU a word winning Chelelang “the wonder bean”. These germ plasms had been inspected by KEPHIS and were recommended for commercial growing in cool highlands and warm humid arid- lands.These were the areas with temperatures in the range of 22-30oc and moisture levels of about 400mm per year.It was also observed that Chelelang yielded 1750 Kg/ha(19.5bags) as compared to an average of 550kf/ha (6.0 bags) (i.e 3.19 times better) than Rose coco the control.The new technology (Chelalang) was a bean of choice to replace low yielding environmentally vulnerable commercial varieties and temperatures of 300C and moistures of about 400mm.The current technology average yield =550kg/ha=6.11 bags/ha.Average yield of new technology (Chelalang) = 1750kg/ha=19,4bags/ha. bags/ha/season=38.9 bags/year.Kenya has a potential of 800,000ha for growing beans. This results to 800,000 x 38.9 bags =31,120,000 bags.Average bean consumption in the country is estimated at 26,666,666 bags giving a surplus of =4,453,333 bags. /year.At a price of ksh.4000/bag would translate to an additional revenue of Ksh.4,453,333 x 4000 =17,613,333,333/year.The technology contributed to reduction of hunger and provision of proteins bean. Adoption of this new technology would save the nation a lot of revenue which is appropriate for VISION 2030.
/ / Mn Libraries Dupl 1

Imperfect performance equilibrium is defined as a Nash equilibrium where the players' actions may involve non-infinitesimal random errors: each player is endowed with a personal behavior pattern {his, performancefunction) under which the action that he takes depends stochastically on (i) what the player sets out to do, and (ii) the potential consequences that can accrue to him from each of his possible actions. None of the feasible strategies is totally excluded, but the more costly deviations from utility maximization are less likely. An equilibrium identifies both the mutually rational target strategies and the endogenously determined error probabilities. Attractive solutions are shown to emerge in pilot studies of three well known game models the coordination game, the repeated prisoner's dilemma, and the chain store problem. In particular, equilibrium behavior exhibits an appealing sensitivity to how desirable the key outcome is, e.g. cooperation is more likely to arise when the fruits of cooperation are higher. Unlike earlier studies dealing with similar issues, the results for imperfect equilibrium do not depend on asymmetric information or on lengthy repetitions of the game under consideration.
Regression Models for Readmission Prediction Using Electronic Medical Records List of Tables List of Figures

REGRESSION MODELS FOR READMISSION PREDICTION USING ELECTRONIC MEDICAL RECORDS by YUDI NIU April 2013 Advisor: Dr. Chandan Reddy Major: Computer Science Degree: Master of Science Hospital readmissions are not only expensive but are also potentially harmful, and most importantly, they are often preventable. Providing special care for a targeted group of patients who are at a high risk of readmission can significantly improve the chances of avoiding rehospitalization. Despite the significance of this problem, not many researchers have thoroughly investigated it due to the inherent complexities involved in analysing and estimating the inherent predictive power of such complex hospitalization records. In this thesis, we propose using support vector machines and survival analysis methods to analyse data collected from Electronic Medical Records (EMR). We define the notion of abnormal patients and understand how they affect the performance of classifiers. We use sparse methods with survival regression models to build clinical models which are suitable to apply on such complex clinical data. These models are compared with existing readmission models such as ADHERE, TABAK and logistic regression models. Finally, we provide inferences and conclusions on how to extend this work to build better regression models.
Dielectric and electrical properties of zinc doped titanium oxide (TiO2) synthesized by semi-wet route

Zinc doped titanium oxide (Ti1-xZnxO2, x=0.05) abbreviated as Ti0.95 Zn0.05O2 (TZO) ceramic was synthesized by semiwet route using aqueous solution of zinc acetate dihydrate and solid titanium dioxide as starting materials. The single phase formation of the TZO ceramic sintered at 900 °C for 8 h was confirmed by powder X-ray diffraction (XRD) analysis. The lattice parameters obtained by Retvield refinement were found to be a=b= 4.609 Å, c= 2. 967Å and α=β= γ= 90 ° with space group P 42/m n m confirmed the rhombic structure of TZO ceramic. The average particle size of the TZO ceramic observed by TEM analysis was found to be 84 nm. The surface morphologies and roughness parameters of TZO ceramic were observed by atomic force microscopy (AFM) analysis. The value of dielectric constant (ε′) and tangent loss (tan δ) of the TZO ceramic were found to be 230 and 0.2, respectively at 100 Hz and 498 K.
ADVANTAGES AND DISADVANTAGES OF SUBSURFACE DRIP IRRIGATION

The advantages and disadvantages of subsurface drip irrigation (SDI) as compared to alternative irrigation systems are conceptually discussed. Each category (advantages and disadvantages) is subdivided into three groups: 1) Water and soil issues; 2) Cropping and cultural practices, and 3) System infrastructure issues. The adaptation and adoption of SDI systems into diverse cropping systems, geographical regions, soils and climate depends, to a large extent, on how potential advantages are balanced against potential disadvantages. In some cases, just a few advantages are expressed for a given cropping system, but are expressed so strongly that they provide a good counterbalance to the potential disadvantages. Future research and development will probably add to the list of potential advantages while addressing and reducing the disadvantages. However, this current listing can be used to devise and adapt other possible uses for SDI. Specific examples of SDI use in maize (Zea mays L.), alfalfa (Medicago sativa), almonds (Prunis dulcis), cantaloupe (C. melo) and wastewater applications are discussed with respect to balancing advantages and disadvantages. ADVANTAGES OF SDI The following list should be considered as potential advantages of subsurface drip irrigation (SDI) when properly managed and/or when site conditions and cropping systems allow the advantage to be realized. Additionally, some growers might see an aspect as an advantage, while another might see an aspect as a disadvantage. For example, there are opportunities for improved cultural practices with SDI, while at the same time, there might be fewer tillage alternatives. These advantages may be further subdivided along the lines of water and soil issues, cropping and cultural practices and system infrastructure issues. Advantages related to water and soil issues More efficient water use – Soil evaporation, surface runoff, and deep percolation are greatly reduced or eliminated. Infiltration and storage of seasonal precipitation can be enhanced by drier soils with less soil crusting. In some cases, the system can be used for a small irrigation event for use in germination, depending on dripline depth, flow rate and soil constraints. The inherent ability to apply small irrigation amounts can allow better water-efficient decisions about irrigation events near the end of the cropping season. In widely spaced crops, a smaller fraction of the soil volume can be wetted, thus further reducing unnecessary irrigation water losses. Less water quality hazards – Runoff into streams is reduced or eliminated, and there is less nutrient and chemical leaching due to deep percolation.
Humanistic Theory in Sport, Performance, and Sports Coaching Psychology

As a basic psychological framework, humanistic theory emphasizes a strong interest in human welfare, values, and dignity. It involves the study and understanding of the unique whole person and how people can reach a heightened sense of self through the process of self-actualization. The focus within humanism to encourage and foster people to be “all they can be” and develop a true sense of self links to a strengths-based approach in sports coaching and the defining principles of positive psychology. In the field of sport and performance psychology, positive psychology has been influential as a discipline concerned with the optimal functioning and human flourishing of performers. Since the 2000s, many sport and performance psychologists have embraced positive psychology as a theoretical basis for examining consistent and superior human performance. However, in the modern history of psychological science, positive psychology is not a new phenomenon; rather, it stems from humanism—the traditional “third wave” in psychology (after the dominance of psychoanalytic and behaviorist approaches). Sport is recognized as a potentially influential context through which people at all levels and backgrounds can thrive. The tendency to focus on performance outcomes, however—winning and losing—often overshadows the potential of sport to achieve this aspirational goal. As evidence of this view, many high-performing athletes are commenting on their distressing experiences to reach the top and the “culture of fear” they have been exposed to as they pursue their own and others’ (e.g., institutional) ambitions (e.g., medaling at the Olympic Games). Humanism concerns itself with the quality of a person’s life, which includes, but also extends beyond such objective and classifying achievements. It is a person-centered approach to understanding the individual and his or her psychological, emotional, and behavioral reality. It seeks to help people define this reality more clearly in such a way that will help them feel good and perform at a high level. Humanism has been, therefore, an important school of thought for improving the lives and experiences of people who play sport as well as those who perform in various other contexts.
Performance investigation of organic Rankine-vapor compression refrigeration integrated system activated by renewable energy

In this article, the performance and working fluid selection for an organic Rankine cycle-vapor compression refrigeration (ORC–VCR) integrated system activated by renewable energy is investigated. The performance of the system is described by the system coefficient of performance (COPS), and the refrigerant mass flow rate per kilowatt refrigeration capacity (m˙total). Twenty-three pure substances are proposed as working fluids for the integrated system. The basic integrated system performance is assessed and compared using the proposed working fluids. The basic VCR cycle works between 35 and 0 °C, while the basic ORC works between 35 and 100 °C. The impacts of different operating parameters such as the evaporator, the boiler, and the condenser temperatures on the ORC–VCR system performance are also examined. The results show that the cyclopentane accomplished the highest system performance under all investigated operating conditions. Accordingly, among the examined 23 working fluids, cyclopentane is the most appropriate working fluid for the integrated system from the viewpoints of environmental concerns and system performance. Nevertheless, due to its high flammability, further restrictions should be taken. The basic integrated system COPS, refrigeration effect, and the corresponding m˙total utilizing cyclopentane are 0.654, 361.3 kW, and 0.596 × 10−2 kg/(s kW), respectively.
No-Reference Video Quality Assessment

Methods to assess the visual quality of digital videos as perceived by human observers are becoming important, due to large number of applications that target humans as the end users of video. In this paper a no-reference video quality assessment (VQA) algorithm is introduced. Characteristics of human visual system (HVS) is taken into considerations. The quality of video is calculated in compressed domain considering three factors of compression process; quantization factor, motion factor and bit allocation factor. The algorithm is tested on LIVE Video Quality Database. The results are compared with previous existing methods.
Generalized Hultman Numbers and Cycle Structures of Breakpoint Graphs

Genome rearrangements can be modeled as k-breaks, which break a genome at k positions and glue the resulting fragments in a new order. In particular, reversals, translocations, fusions, and fissions are modeled as 2-breaks, and transpositions are modeled as 3-breaks. Although k-break rearrangements for [Formula: see text] have not been observed in evolution, they are used in cancer genomics to model chromothripsis, a catastrophic event of multiple breakages happening simultaneously in a genome. It is known that the k-break distance between two genomes (i.e., the minimum number of k-breaks required to transform one genome into the other) can be computed in terms of cycle lengths in the breakpoint graph of these genomes. In this work, we address the combinatorial problem of enumerating genomes at a given k-break distance from a fixed unichromosomal genome. More generally, we enumerate genome pairs, whose breakpoint graph has a given distribution of cycle lengths. We further show how our enumeration can be used for uniform sampling of random genomes at a given k-break distance, and describe its connection to various combinatorial objects such as Bell polynomials.
Advanced Cell Technology, Inc. [1]

Advanced Cell Technology [4] , Inc. (ACT) is a biotechnology company that uses stem cell technology to develop novel therapies in the field of regenerative medicine [5] . Formed in 1994, ACT grew from a small agricultural cloning [6] research facility located in Worcester, Massachusetts, into a multi-locational corporation involved in using both human embryonic stem cells [7] (hESC) and human adult stem cells [8] as well as animal cells for therapeutic innovations. Through its work in developing alternative methods for hESC derivation and its public statements, ACT has also played an active role in stimulating and participating in public debate over stem cell research.
Zespoły projektowe w strukturze łańcucha dostaw przedsiębiorstw produkcyjnych - warianty lokalizacyjne

The paper presents a theoretical model of location variants of project teams in the structure of a supply chain. The model provided the basis for a case-study examination of the solution selected by the supply chain links. The conducted research has shown the popularity of three out of twelve solutions presented in the model, moreover in each of the three most popular solutions the managing centre of a project is located in the structure of a supply chain leader. The empirical tests have also revealed that the creation of projects teams in a supply chain results in the integration of entities within a network. The level of integration, being a consequence of placing the team structure over the project structure, depends among others on the architecture of the project team in the supply chain structure.
Early ictal recruitment of midline thalamus in mesial temporal lobe epilepsy

The causal role of midline thalamus in the initiation and early organization of mesial temporal lobe seizures is studied. Three patients undergoing stereoelectroencephalography were enrolled for the placement of an additional depth electrode targeting the midline thalamus. The midline thalamus was recruited in all three patients at varying points of seizure initiation (0-13 seconds) and early propagation (9-60 seconds). Stimulation of either thalamus or hippocampus induced similar habitual seizures. Seizure-induced in the hippocampus rapidly recruited the thalamus. Evoked potentials demonstrated stronger connectivity from the hippocampus to the thalamus than in the opposite direction. The midline thalamus can be within the seizure initiation and symptomatogenic circuits.
An Injection-Current-Boosting Locking-Range Enhancement Technique for Ultra-Wideband mm-Wave Injection-Locked Frequency Triplers

An injection-current-boosting (ICB) locking-range enhancement technique is presented to increase the locking range (LR) of the millimeter-wave (mm-wave) injection-locked frequency triplers (ILFTs). With a transformer-based fourth-order injection-coupling network, the parallel capacitance from the injection devices is resonated out over a wide frequency range and the injection current is boosted greatly. Analytical models of the ICB–ILFT are introduced, based on which the current-boosting phenomenon is analyzed. Meanwhile, the design concepts of the ultra-wideband mm-wave ILFT are presented. With the proposed ICB technique, an ICB-ILFT is designed and fabricated in 65-nm CMOS process. With a 0-dBm RF injection source, the ICB-ILFT can be locked from 22.8 to 43.2 GHz without calibration, achieving a 61.8% LR. The power consumption is only 5.0 mW and a 9.5-dB phase noise difference is observed, which is close to the theoretical value.
Inter-Tenant Resource Sharing and Power Allocation in 5G Virtual Networks

Recently, the concept of network virtualization and network slicing attracted significant attention from both industry and academia as a key component of the evolving 5G architecture to allow the efficient entrance of vertical industries and tackle increased aggregate traffic by flexible network re-configurability. However, the potential price to be paid for facilitating network slicing in a multi-tenant virtual network is the underutilization of the scarce wireless network resources due to the different tenant requirements and the inherent dynamics of the traffic. A potential way to avoid such sacrifice of radio resources is to allow efficient inter-tenant resource sharing. To this end, this paper proposes a novel optimization framework for flexible inter-tenant resource sharing embedded with transmission power control to aggressively improve network capacity, the utilization of wireless access resources, user data rate as well as energy efficiency. More specifically, we define two novel resource sharing mechanisms called tight coupling and loose coupling, respectively, via mixed integer linear programming formulations. Furthermore, two resource and power joint allocation algorithms are designed to solve the optimization problem in polynomial time. Based on 3GPP network parameterization, a rigorous analysis via a wide set of numerical investigations reveal that significant gains in network throughput, individual user rate, and energy efficiency can be achieved compared with current baseline network slicing methods and constant power resource sharing algorithms.