Miracle-dz/UniFAR-FTUs huggingface dataset:
Power shaping: a new paradigm for stabilization of nonlinear RLC circuits

It is well known that arbitrary interconnections of passive (possibly nonlinear) resistors, inductors, and capacitors define passive systems, with port variables the external source voltages and currents, and storage function the total stored energy. In this note, we prove that for a class of RLC circuits with convex energy function and weak electromagnetic coupling it is possible to "add a differentiation" to the port terminals preserving passivity - with a new storage function that is directly related to the circuit power. The result is of interest in circuits theory, but also has applications in control as it suggests the paradigm of power shaping stabilization as an alternative to the well-known method of energy shaping. We show in this note that, in contrast with energy shaping designs, power shaping is not restricted to systems without pervasive dissipation and naturally allows to add "derivative" actions in the control. These important features, that stymie the applicability of energy shaping control, make power shaping very practically appealing. To establish our results we exploit the geometric property that voltages and currents in RLC circuits live in orthogonal spaces, i.e., Tellegen's theorem, and heavily rely on the seminal paper of Brayton and Moser in 1964.
Improving Database System Performance by Applying NoSQL

Internet accessibility has been growing due to the diffusion of smartphones in today's society. Therefore, people can generate data anywhere and are confronted with the challenge that they should process a large amount of data. Since the appearance of relational database management system (RDBMS), most of the recent information systems are built by utilizing it. RDBMS uses foreign-keys to avoid data duplication. The transactions in the database use attributes, such as atomicity, consistency, isolation, durability (ACID), which ensures that data integrity and processing results are stably managed. The characteristic of RDBMS is that there is high data reliability. However, this results in performance degradation. Meanwhile, from among these information systems, some systems only require high-performance rather than high reliability. In this case, if we only consider performance, the use of NoSQL provides many advantages. It is possible to reduce the maintenance cost of the information system that continues to increase in the use of open source software based NoSQL. And has a huge advantage that is easy to use NoSQL. Therefore, in this study, we prove that the leverage of NoSQL will ensure high performance than RDBMS by applying NoSQL to database systems that implement RDBMS.
The impact of surgery on the efficacy of adjuvant therapy in glioblastoma multiforme.

BACKGROUND Glioblastoma multiforme (GBM) is the most malignant brain tumor. Surgery still remains a fundamental part of treatment in GBM, followed by radiotherapy and chemotherapy. OBJECTIVES The aim of the study was to assess the impact of surgery on the efficacy of adjuvant therapy in patients with glioblastoma multiforme. MATERIAL AND METHODS The study involved 181 patients: 50 treated with adjuvant radiotherapy (RTH) only (60 Gy in daily 2Gy fractions) and 131 treated with postoperative radiochemotherapy (RTH-CHT) (60 Gy, 2Gy/d)+75 mg/m2 temozolomide for 42 days of radiotherapy, followed by 6 courses every 28 days; the first course was 150 mg/m2 for 1-5 days, and the subsequent courses were 200 mg/m2 for 1-5 days). Overall survival (OS) and disease-free survival (DFS) were assessed. The statistical analysis entailed the log-rank test, Kaplan-Meier curves and Cox proportional hazards regression; the threshold of statistical significance was set at p=0.05. RESULTS Median OS and DFS were significantly increased (p=0.001) in the RTH-CHT group compared with the RTH group: 9.77 months vs 6.38 months for OS, and 8.4 months vs 4.33 months for DFS. After radical surgery, RTH-CHT extended OS by 5.3 months and DFS by 4.5 months in comparison to RTH. In patients who underwent non-radical surgery, the type of adjuvant therapy made no difference in either OS or DFS. In the RTH-CHT group, OS and DFS depended on the extent of the surgery, and were significantly longer in patients who underwent radical surgery (OS: p=0.03128; DFS: p=0.01206). In the RTH group, the type of surgery had no effect on survival. CONCLUSIONS Radiochemotherapy significantly prolongs OS and DFS compared with radiotherapy alone in GBM patients who have undergone radical removal of the tumor. Among patients who had non-radical surgery, the type of adjuvant treatment has no effect on OS or DFS.
Psychiatric aspects of child and adolescent obesity: a review of the past 10 years.

OBJECTIVE To review the past 10 years of published research on psychiatric aspects of child and adolescent obesity and highlight information mental health professionals need for preventing obesity in youths and diagnosing and treating it. METHOD Researchers performed computerized and manual searches of the literature and summarized the most relevant articles. RESULTS The growing epidemic of child and adolescent obesity deserves attention for its immediate mental health and long-term medical complications. Mental health professionals working with obese youths should be aware of recent advances in neuroscience, genetics, and etiologies associated with obesity. Those who assess and treat obese youth should view obesity as a chronic disease. Currently, no approved pharmacological or surgical approaches exist to treat childhood obesity. CONCLUSIONS Health care providers should focus on modest weight-loss goals that correlate with significant health benefits. The most effective treatments include substantial parental involvement. Mental health professionals should help obese children build self-esteem to help them lead full lives regardless of weight.
Understanding Compassion Satisfaction, Compassion Fatigue and Burnout: A survey of the hospice palliative care workforce

Background: Despite the increasingly crucial role of the healthcare workforce and volunteers working in hospice and palliative care (HPC), very little is known about factors that promote or limit the positive outcomes associated with practicing compassion. Aim: The purpose of this study was to: 1) understand the complex relationships among Compassion Satisfaction, Compassion Fatigue and Burnout within the hospice and palliative care workforce and 2) explore how key practice characteristics – practice status, professional affiliation, and principal institution – interact with the measured constructs of Compassion Satisfaction, Compassion Fatigue and Burnout. Design: Self-reported measures of Compassion Satisfaction, Compassion Fatigue and Burnout, using validated scales, as well as questions to describe socio-demographic profiles and key practice characteristics were obtained. Setting/participants: A national survey of HPC workers, comprising clinical, administrative, allied health workers and volunteers, was completed. Respondents from hospital, community-based and care homes informed the results of our study (n = 630). Results: Our results indicate a significant negative correlation between Compassion Satisfaction and Burnout (r = −0.531, p < 0.001) and between Compassion Satisfaction and Compassion Fatigue (r = −0.208, p < 0.001), and a significant positive correlation between Burnout and Compassion Fatigue (r = 0.532, p < 0.001). Variations in self-reported levels of the above constructs were noted by key practice characteristics. Levels of all three constructs are significantly, but differentially, affected by type of service provided, principal institution, practice status and professional affiliation. Results indicate that health care systems could increase the prevalence of Compassion Satisfaction through both policy and institutional level programs to support HPC professionals in their jurisdictions.
Making Connections After Brain Injury: Development and Evaluation of a Social Peer-Mentoring Program for Persons With Traumatic Brain Injury

Objective:To describe the development and implementation of a social peer-mentoring program for persons with traumaticbrain injury (TBI) and to explore whether this program yielded increased social functioning outcomes compared with wait-list (WL)controls. Design:Pilot randomized controlled study. Participants:Community-dwelling individuals with TBI(12 matched with social peer mentors and 18 completing the WL condition). Intervention:Trained social peer mentors (SPMs)were matched to partners with TBI (peer partners (PP)) to foster skill-building in planning of social activities and improvingsocial communication abilities through phone contacts and joint participation in social events within the community over a 3-monthperiod. Measures:Social Activity Interview, Center for Epidemiological Studies Depression Scale, UCLA Loneliness Scale, Satisfaction with Life Scale, 6-Item Interpersonal Support Evaluation List (baseline and postmentoring); weekly social activity data(1-month baseline, continuously collected during 3-month mentoring or WL period); satisfaction survey. Results:Both SPMand PP participants reported high satisfaction with the mentoring program. Statistically significant improvements in perceived socialsupport after mentoring were observed for the mentored group than for WL participants; however, an increase in depressive symptoms wasalso observed. While significant improvements in social activity level and social network size were not found, a trend toward increasedsatisfaction with social life was present for mentored participants. Conclusions:Satisfaction ratings for the SPM programwere uniformly high and selected positive findings encourage further investigation of social mentoring as an intervention to effectimprovements in social integration. Small sample size and reduced “dosage” of mentor interactions were limitations of thispilot study. Benefits of and challenges to implementation of an SPM program are outlined.
Real-Time Periodic Task Scheduling Based on Compensation

With the development of multi-core technology, most processors support DVFS (dynamic voltage and frequency scaling) Technology. Due to the introduction of DVFS technology, we can optimize the scheduling strategy to reduce energy consumption. Energy consumption can be reduced by equalizing load. In this paper we propose DULB with average compensation partition algorithm. We analyzed the partition algorithm by some experiments find that our algorithm has good effect in energy conservation. Compared with DULB, shows that adopting our algorithm an energy reduction of more than 15% can be achieved. When the task load of the system is moderate, adopting our algorithm an energy reduction of more than 20% can be achieved. When the task load of the multi-core system is below 90%, above 80% of the tasks could be scheduled by our partition algorithm.
A CPU provision scheme considering virtual machine scheduling delays in Xen virtualized environment

Managing hardware resources efficiently when they are shared in virtualized environment is a critical issue for improving application QoS. For CPU resources, virtual machine scheduling delays should be additionally concerned, because they cause unexpected service delays to guest applications and can consequently violate the application QoS. There have been many researches to manage CPU resources by monitoring resource utilization and analyzing application performance via mathematical techniques such as queuing models. However, most of the studies cannot always guarantee the application QoS, because they do not reflect the virtual machine scheduling delay. In this paper, we propose a CPU provision scheme considering virtual machine scheduling delays in Xen environment. We compare the performance of the proposed scheme with that of Sandpiper and show that the proposed scheme decreases the number of SLA violations.
Botanical (morphological, micrographic), chemical and pharmacological characteristics of Pfaffia species (Amaranthaceae) native to South Brazil

Some parameters for the quality control of P. glomerata and P. paniculata roots using their botanical and chemical characteristics are presented. It was also carried out an in vitro pharmacological screening to evaluate some biological properties of P. glomerata that could be related to its popular use as "tonic". Relating to biological assays, ethanolic extract from P. glomerata roots did not present antiviral, antiproliferative, antifungal or MAO inhibitory activities. The cytotoxicity evaluation of P. glomerata determined that IC50 is >2,000 µg/mL. The main morphological and micrographic characteristics of P. glomerata and P. paniculata roots are described in this paper in order to aid in their unequivocal identification.
Micropropagation of Salvia wagneriana Polak and hairy root cultures with rosmarinic acid production

Abstract Salvia wagneriana Polak is a tropical species native to Central America, well adapted to grow in the Mediterranean basin for garden decoration. Micropropagation has been assessed from axillary shoots of adult plants using a Murashige and Skoog basal medium, with the addition of 1.33-μM 6-benzylaminopurine for shoot proliferation; the subsequent rooting phase occurred in plant growth regulator-free medium. The plants were successfully acclimatised with high survival frequency. Hairy roots were induced after co-cultivation of leaf lamina and petiole fragments with Agrobacterium rhizogenes and confirmed by PCR. The establishment and proliferation of the selected HRD3 line were obtained in hormone-free liquid medium and the production of rosmarinic acid (RA) was evaluated after elicitation. The analysis of RA was performed by LC-ESI-DAD-MS in the hydroalcoholic extracts. The addition of casein hydrolysate increased the RA production, whereas no enrichment was observed after the elicitation with jasmonic acid. Graphical abstract
Neonatal Seizures: Gaps Between the Laboratory and the Clinic

Summary: Seizures in neonates (NBs) remain the most frequent neurological problem in the nursery. Considerable debate about their consequences exists between data and deductions reached through animal experimentations and those obtained through clinical investigations. The main conflicting issues are whether seizures in NBs can plant the roots for epileptogenesis and cause long‐term deficits. The purpose of this chapter is to evaluate both laboratory and clinical results.
Decentralisation of City Administration and Competences of Decentralised City Units

A balanced city system, coordination, and cooperation between city units are necessary preconditions for effective governance, as well as for avoiding internal imbalances and underdevelopment. The first part the paper focuses on the legal position of inner city units in European cities (primarily those in Central Europe), with specific reference to the effectiveness of administration and democratic processes. The second part analyses city administration and competences of city units in Serbian cities, internally divided into city municipalities. Neither Serbian local government regulations nor legal theory have sufficiently defined the legal nature and position of city municipalities. The analysis focuses on the statutes regulating the internal organisation of six cities for the purpose of examining the administrative bodies and competences of city municipalities. These statutes do not regulate all the issues necessary for the successful operation of city municipalities; moreover, some municipalities exist only in statutes and not in reality.
Entropy Partition Method and Its Verification for Medical Data

Based on the entropy partition method we proposed before, we carry out the verification process according to the lowest requirement for ideal partition result in this paper. A new definition of correlative measure among multi-variables and multi-subsystems is proposed and one full proof for its principal property "superadditivity and uniqueness" is presented. We give the full verification process to the lowest requirement for ideal partition result, thus improve this method to more dependable and more available to the complex, nonlinear, large-scale data.
NGFI, the xHaul

Traditional fronthaul (FH) solutions are not efficient and scalable enough to enable large-scale Cloud RAN deployment and to support 5G evolutions. In this paper we proposed a new fronthaul interface call Next Generation Fronthaul Interface (NGFI). The design principles of the NGFI are described including decoupling the FH bandwidth from the number of antennae, decoupling cell and user equipment processing and decoupling downlink/uplink processing. With NGFI, the FH networks could be developed based on packet-switched networks such as Ethernet. The realization of NGFI depends on two aspects: the function split between baseband unit and the remote radio units, and the underlined transport network design taking into account the new features of NGFI interface. In this paper the function partitioning principles are analyzed. In addition the major impact, challenges and potential solutions of Ethernet-based FH networks are also analyzed from jitter, latency, time and frequency synchronization perspectives.
Lattice-Reduction-Aided Partial Marginalization for Soft Output MIMO Detector With Fixed and Reduced Complexity

In this letter, we propose lattice-reduction (LR)-aided partial marginalization (PM) for soft output multiple-input multiple-output (MIMO) detection. PM has the advantages of a fully predictable runtime and convenience in parallelization while offering a well-defined tradeoff between the performance and the computational complexity. However, the computational complexity of PM to achieve a high level of performance is considerably high. In order to reduce the complexity of PM, the proposed scheme performs low-complexity LR-aided marginalization instead of exact marginalization (EM) to avoid the exhaustive approach of the EM, which mainly increases the overall complexity. The experimental results demonstrate that the computational complexity of the proposed scheme is considerably lower with negligible performance degradation compared to conventional PM.
UNDERSTANDING THE CHANGING GEOGRAPHY OF URBAN EFFICIENCY IN CHINA IN THE 1990s

Abstract This study adopts the approach of Data Envelopment Analysis (DEA) to analyze the changing geography of urban efficiency in China in the 1990s. DEA is a non-statistical efficiency technique, which employs a linear programming to weight the city inputs/outputs and rank the performance of the decision-making units (DMUs). A close examination reveals that urban efficiency of Chinese cities tended to increase from the western to the eastern region and by the urban administrative level. Urban efficiency is a compound concept consisting of scale efficiency, utilization efficiency and pure technological efficiency. This study suggests that scale efficiency is the prime variable to understand the temporal as well as spatial patterns of urban efficiency. The decrease of scale efficiency had, to a certain degree, counteracted the increase of utilization efficiency and pure technological efficiency, which had led to the regional variation of urban efficiency in China. Given the fact that the relatively small sizes of cities have reduced urban output and efficiency, the scale of the urban economy in China needs to be promoted through regional integration.
CAROTID AIR EMBOLISM. AN EXPERIMENTAL STUDY IN CATS.

Cerebral air embolism is a dreaded complication of cardiac surgery. The usual explanation of this phenomenon is an embolization or "blockage" of small vessels in the brain by rigid bubbles. In order to investigate methods of therapy, it is desirable to reproduce the lesion in experimental animals. Cats were selected since their brains are familiar to neuropathologists. Materials and Methods Mixed breed young adult cats, varying from 1.5 to 2.7 kg in weight were used. Under open drop ether anesthesia, the left carotid artery was exposed and occluded proximally with a rubber-shod clamp. A selected dose of air was rapidly injected in the carotid artery distal to the point of occlusion and the clamp removed. After closure of the wounds, the animals were carefully observed for two weeks for gross evidence of neurological deficit. Results No neurologic defects were noted. Instead, an apparent all-or-none effect was seen (Table). Those animals
Highly reliable liveness detection method for iris recognition

The importance of personal authentication is increasing with the development of the information society. The accuracy of personal authentication by identifying the iris is higher than that by using other biometric traits such as faces or fingerprints. However, the iris authentication system is vulnerable to deception by a fake iris even though the recognition accuracy is high. In this study, we developed a liveness detection method by using a variation in the brightness of an iris pattern induced by a pupillary reflex. The live and artificial irises were classified by a decision threshold of 7% brightness variation rate.
An improved multidimensional scaling localisation algorithm

This paper focuses on the node localisation in various topological and sparse wireless sensor networks. To make up for the shortcomings of the dwMDS(G) algorithm on the positioning accuracy and convergence performance, this paper proposes an improved multidimensional scaling localisation algorithm. Firstly, Multidimensional Scaling (MDS) algorithm is used to obtain the unknown nodes initial coordinates. Secondly, Particle Swarm Optimisation (PSO) algorithm is adopted to obtain the unknown nodes final coordinates by optimising the local cost function. Experimental results show that the localisation accuracy, convergence and robustness of the proposed algorithm are better than those of the existing dwMDS(G) algorithm.
An environment for security model development

The authors introduce the security model development environment (SMDE), a suite of prototype tools that provide a systems engineering and integration approach to the development of secure systems. These tools provide an environment for security model development analogous to that of a conventional programming environment. The SMDE methodology supports the model developer via an iterative model design process. The common notation (CN) is the machine processible language for security model expression. The methodology and CN support the SMDE prototype tools: the model translator tool (MTT) and the testbed. The MTT automatically generates a rule base from a CN security model expression. The testbed simulates the activity of a secure system using a model's rule base, and its structure establishes the feasibility of an alternative architecture for secure systems. The SMDE provides an iterative modeling process that increases the productivity of model designers while simultaneously making the model development process more accessible. <<ETX>>
The Secured Authentication in VANET Through Public Key Cryptography

Vehicular ad hoc networks (VANETs) are the specific class of Mobile ad hoc networks (MANETs). In a VANET, vehicles will rely on the integrity of received data for deciding when to present alerts to drivers. In this paper, we investigate the authentication issues with privacy preservation and non-repudiation in VANETs. We propose a novel framework with preservationand repudiation (ACPN) for VANETs. In ACPN, we introduce the publickey cryptography (PKC) to the pseudonym generation, which ensures legitimate third parties to achieve the non-repudiation of vehicles by obtaining vehicles’ real IDs. The self-generated PKCbasedpseudonyms are also used as identifiers instead of vehicle IDs for the privacy-preserving authentication, while the update of the pseudonyms depends on vehicular demands. Performance assessment has been done utilizing IBS and IBOOS schemes. We demonstrate that the proposed ACPN is practical and sufficient to be utilized productively as a part of the VANET environment.