Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of routine 16b1 lymph node biopsy in the management of gallbladder cancer: an analysis.

BACKGROUND Involvement of the 16b1 (interaortocaval) lymph node (LN) in gallbladder cancer (GBC) is considered to represent metastatic disease. Although this is universally accepted, the role of routine frozen-section histopathological examination (HPE) of the 16b1 LN in the management of GBC has not been previously reported. METHODS A prospective study (August 2009-November 2011) using routine biopsy of 16b1 LNs and frozen-section HPE prior to radical resection in patients deemed operable on preoperative evaluation and staging laparoscopy was carried out. RESULTS Of the 451 GBC patients assessed, 251 (55.7%) were deemed operable on preoperative imaging. Of these, 68 (27.1%) were found to have disseminated disease on staging laparoscopy/laparotomy. Of the 183 patients in whom 16b1 LN biopsy was performed, 34 (18.6%) had evidence of metastases on frozen-section HPE and the planned surgical resection was abandoned (Group A). Of the remaining 149 patients (Group B), 142 (95.3%) underwent curative resection and seven (4.7%) were found to be unresectable as a result of locoregionally advanced disease. A comparison of findings in Group A with those in Group B showed no significant difference in the clinical stage of the tumour. The proportions of patients with jaundice, elevated carcinoembryonic antigen (CEA) and carbohydrate antigen (CA) 19-9 levels were significantly higher in Group A than in Group B (P = 0.008, P = 0.012 and P = 0.023, respectively). CONCLUSIONS Routine 16b1 LN biopsy prevented non-therapeutic radical resection and its associated morbidity in 18.6% of patients deemed resectable on preoperative imaging and staging laparoscopy. The yield was higher in patients with jaundice and elevated preoperative tumour marker levels.
The role power electronics in future energy systems and green industrialization

One important aspect of clean energy or green industrialization is the search for technologies (CTpsilas) that can reduce the major environmental impact of present energy sources. Alternative energy sources (AES) like micro-turbines, photovoltaic (PV), fuel cells, wave energy and wind turbines seem to meet the requirement for clean energy. Integrating these on-site generating sources into the larger electric power system grid, known as distributed energy resources (DER), can provide a more reliable and better quality power to consumers, increase the overall efficiency of the distribution system, and reduce the need for infrastructure associated with new or aging central generation power systems. Most of these energies are converted to electrical energy using power electronics converters. Also, AES provide clean energy for non-grid connected or stand-alone applications such as transportation systems in electric and hybrid vehicles, all electric aircrafts and ships and high speed trains. In all applications grid-connected or stand alone, power electronic converters are needed to interface the energy sources to the various loads. Therefore, power electronics is vital to the future energy systems and process of green industrialization. This paper is intended to give an overview of the role of power electronics in DERs in both grid connected and stand-alone applications and the process of green industrialization.
Innovative Indoor Geolocation Using RF Multipath Diversity

A new concept is presented for indoor geolocation in multipath environments where direct paths are sometimes undetectable. In contrast to previous statistically-based approaches, the multipath delays are modeled using a geometry-based argument. Assuming a series of specular reflections off of planar surfaces, the model contains a maximum of three unknown multipath parameters per path which may be estimated when geolocation accuracy is sufficiently high. If some of the direct paths subsequently become undetectable, it is possible under certain conditions to maintain geolocation accuracy using only the indirect path length measurements. The new concept is illustrated via simulation using a relatively simple representative scenario. Performance is compared to a traditional method which uses only direct path measurements, indicating the potential for significantly improved indoor geolocation accuracy in environments dominated by multipath. Since the estimated multipath parameters are geometry-dependent, this approach allows the possibility of building up indoor map information as the geolocation process commences.
A Convex Model of Risk-Based Unit Commitment for Day-Ahead Market Clearing Considering Wind Power Uncertainty

The integration of wind power requires the power system to be sufficiently flexible to accommodate its forecast errors. In the market clearing process, the scheduling of flexibility relies on the manner in which the wind power uncertainty is addressed in the unit commitment (UC) model. This paper presents a novel risk-based day-ahead unit commitment (RUC) model that considers the risks of the loss of load, wind curtailment and branch overflow caused by wind power uncertainty. These risks are formulated in detail using the probabilistic distributions of wind power probabilistic forecast and are considered in both the objective functions and the constraints. The RUC model is shown to be convex and is transformed into a mixed integer linear programming (MILP) problem using relaxation and piecewise linearization. The proposed RUC model is tested using a three-bus system and an IEEE RTS79 system with wind power integration. The results show that the model can dynamically schedule the spinning reserves and hold the transmission capacity margins according to the uncertainty of the wind power. A comparison between the results of the RUC, a deterministic UC and two scenario-based UC models shows that the risk modeling facilitates a strategic market clearing procedure with a reasonable computational expense.
Response to “Rating Teachers Cheaper, Faster, and Better: Not So Fast”

In Gargani and Strong (2014), we describe The Rapid Assessment of Teacher Effectiveness (RATE), a new teacher evaluation instrument. Our account of the validation research associated with RATE inspired a review by Good and Lavigne (2015). Here, we reply to the main points of their review. We elaborate on the validity, reliability, theoretical foundation, purposes, and value of RATE; answer Good and Lavigne’s criticisms; and discuss the role evidence plays in research, especially when it challenges strongly held theories.
Self-Adaptation-Based Dynamic Coalition Formation in a Distributed Agent Network: A Mechanism and a Brief Survey

In some real systems, e.g., distributed sensor networks, individual agents often need to form coalitions to accomplish complex tasks. Due to communication and computation constraints, it is infeasible for agents to directly interact with all other agents to form coalitions. Most previous coalition formation studies, however, overlooked this aspect. Those studies did not provide an explicitly modeled agent network or assumed that agents were in a fully connected network, where an agent can directly communicate with all other agents. Thus, to alleviate this problem, it is necessary to provide a neighborhood network structure, within which agents can directly interact only with their neighbors. Toward this end, in this paper, a self-adaptation-based dynamic coalition formation mechanism is proposed. The proposed mechanism operates in a neighborhood agent network. Based on self-adaptation principles, this mechanism enables agents to dynamically adjust their degrees of involvement in multiple coalitions and to join new coalitions at any time. The self-adaptation process, i.e., agents adjusting their degrees of involvement in multiple coalitions, is realized by exploiting a negotiation protocol. The proposed mechanism is evaluated through a comparison with a centralized mechanism (CM) and three other coalition formation mechanisms. Experimental results demonstrate the good performance of the proposed mechanism in terms of the entire network profit and time consumption. Additionally, a brief survey of current coalition formation research is also provided. From this survey, readers can have a general understanding of the focuses and progress of current research. This survey provides a classification of the primary emphasis of each related work in coalition formation, so readers can conveniently find the most related studies.
Inertia Emulation Control Strategy for VSC-HVDC Transmission Systems

There is concern that the levels of inertia in power systems may decrease in the future, due to increased levels of energy being provided from renewable sources, which typically have little or no inertia. Voltage source converters (VSC) used in high voltage direct current (HVDC) transmission applications are often deliberately controlled in order to de-couple transients to prevent propagation of instability between interconnected systems. However, this can deny much needed support during transients that would otherwise be available from system inertia provided by rotating plant.
A Fixed&#8211; Camera Controller for Visual Guidance of Mobile Robots via Velocity Fields

Navigation of mobile robot in the configuration space requires the robot pose measurement for control algorithms implementation. Calibrated fixed cameras may be utilized to such measurements. A promising approach where calibration can be avoided is navigation in the image space. This leads to the concept of direct image based control where absolute measurement of the robot pose in the configuration space is obviated; only information extracted from visual information — and partial camera calibration— is utilized for guidance of the robot. This paper adopt this concept and the application of the velocity field control philosophy to visual guidance of wheeled mobile robots. The main feature of this approach is that the robot task is encoded by means of a specified velocity field in image space.
Bio-Inspired Fuzzy Expert system for Mining Big data

The increase in number of documents worldwide increases the difficulty for classifying those documents according to these needs. Cluster availability of large quantity of text documents from the World Wide Web and business document management forms has made the dynamic separation of texts into new categories as a very important task for every business intelligence systems. But, present text clustering algorithms still suffer from problems of practical applicability. Recent studies have shown that, in order to improve the performance of document clustering, ontologies are useful. Expert system (ontology) is nothing but the conceptualization of a domain into an individual identifiable format, but machine-readable format containing entities, attributes, relationships and axioms. By analyzing all types of techniques for document clustering, a clustering technique depending on Genetic Algorithm (GA) is determined to be better. The evaluation result shows that the proposed approach is very significant in clustering the documents in the distributed environment. Key-Words: Fuzzy ontology, clustering, distributed clustering, Peer to peer network.
The Use of Art Therapy in Treatment Programs to Promote Spiritual Recovery from Addiction

AbstractA spiritual basis for living is essential if one is to recover from addiction (Alcoholics Anonymous, 1976). Art fosters spiritual development through both the creative process itself and in contemplating a work of art which moves one to a higher level of understanding. This article illuminates the relationship between art therapy, spirituality, and recovery and offers a model in which art therapy can be used in treatment programs to facilitate spiritual recovery from addiction. Literature related to recovery, art, and spirituality is summarized. Personal and professional experiences of the author are provided as illustrations.
Endoscopic Resection of Tuberculum Sellae Meningiomas

Abstract Objective To evaluate the results of endoscopic transnasal resection of tuberculum sellae meningiomas (TSMs) as compared with transcranial approaches. Design We retrospectively analyzed five patients who underwent endoscopic endonasal resection of TSM and performed a comprehensive review of articles published between 2000 and 2012 describing the operative treatment of TSMs. Results Gross total resection (GTR) was achieved in four patients (80%). Transient diabetes insipidus occurred in three patients (60%). Preoperative visual field deficit resolved in all patients. Cerebrospinal fluid (CSF) leak occurred in one patient. Analysis of published studies included 1,026 transcranial and 144 transnasal cases. GTR was achieved in 85% of transcranial and 72% of transnasal cases. Visual field deficit improved in 65% of transcranial and 82% of transnasal cases. Rate of diabetes insipidus and CSF leak was higher in the transnasal series. Rate of GTR and visual improvement was higher in endoscopic endonasal as compared with microsurgical transnasal series. Conclusion The literature supports transsphenoidal surgery for the resection of TSMs with significant optic nerve compromise and limited lateral extension. This approach may have an equivalent if not superior outcome over transcranial surgery in visual outcome. CSF leaks are still a challenge but may improve with the use of vascularized nasoseptal flaps.
Querying database using a universal natural language interface based on machine learning

Extracting information from a database system becomes a primary obligation. More and more we are forced to recognize the importance of providing easy access to information stored in a database system. However existing tools that allow users to query database using database query languages such as SQL (Structured Query Language) are difficult for non-experts users. Wherefore asking questions to databases in natural language is a very simple method that can provide powerful improvements to the use of data stored in databases. This paper presents the Architecture and the implementation of a generic natural language interface based on machine learning approach for a relational database. The advantage of this interface is that it functions independently of the database domain and automatically improves through experience its knowledge base.
Hardware-based DLAS: Achieving geo-location guarantees for cloud data using TPM and Provable Data Possession

Recently the lack of geo-location assurance of data in cloud storage has been identified as one of the main reasons why organizations that deal with sensitive data (e.g., financial data, health related data) cannot adopt a cloud storage solution even if they want to. In this paper, we present a Hardware-based Data geo-Location Assurance Solution (HDLAS), which is suitable for almost all cloud storage applications available today. Trusted Platform Module (TPM) and a cryptographic scheme called Provable Data Possession (PDP) are the basis of our solution. We define a new attack model for HDLAS which seems to be a realistic attack model for the existing cloud storage applications. With the combination of a GPS receiver and TPM, HDLAS is able to offer its clients not only the accurate geo-location of their data but also a hardware-based root of trust for that. Unlike many existing solutions, HDLAS works even if a piece of data is replicated into different storage servers. Furthermore we also illustrate how easily HDLAS can be adopted in existing Cloud Storage Providers such as Microsoft Azure.
Dielectric spectroscopy of single cells: time domain analysis using Maxwell's mixture equation

Dielectric spectroscopy is a powerful tool for investigating the dielectric properties of biological particles in suspension. For low volume fractions, the dielectric properties of the particles are related to the measured properties of the suspension by Maxwell's mixture equation. A number of different techniques can be used to measure the dielectric spectrum in the frequency domain or the time domain. In time domain dielectric spectroscopy, data can be converted into the frequency domain using convolution or Fourier transform, prior to data analysis. In this paper, we present a general method for transforming Maxwell's mixture equation from the frequency domain to the time domain allowing analysis of cell dielectric properties directly in the time domain. The derivation is based on the Laplace transform of the single shell model for a spherical particle, and can be extended to the multi-shell model. For a single shelled cell two characteristic relaxation time constants are derived. The results are compared with published analytical models. We show that the original frequency dependent mixture equation can be recovered by Fourier transform back to the frequency domain. As a result, a general relationship for the dielectric response of a mixture of particles is presented which links the frequency and time domains.
College Residence and Academic Performance: Who Benefits From Living on Campus?

Although previous research suggests that living on campus promotes a variety of desirable academic outcomes by enhancing students’ involvement and engagement with their institutions, research on academic performance frequently ignores the possibility that different groups of students are differentially affected by their living environments. Furthermore, previous studies tend to rely on students from a few large public research universities rather than a broad range of institutions, which precludes any analysis of institutional differences in the impact of residence. Using a sample of 1st-year students from the National Postsecondary Student Aid Study (NPSAS), this study found that, for most students in most institutions, the type of residence during college does not have a significant effect on 1st-year academic performance. However, among Black students, those who live on campus have significantly higher GPAs than similar students at the same institution who live off campus with family. Among students attending liberal arts institutions, those who live on campus also have significantly higher GPAs than comparable students at the same institution who live off campus with family.
Prospective memory while driving: comparison of time- and event-based intentions

Abstract Prospective memories can divert attentional resources from ongoing activities. However, it is unclear whether these effects and the theoretical accounts that seek to explain them will generalise to a complex real-world task such as driving. Twenty-four participants drove two simulated routes while maintaining a fixed headway with a lead vehicle. Drivers were given either event-based (e.g. arriving at a filling station) or time-based errands (e.g. on-board clock shows 3:30). In contrast to the predominant view in the literature which suggests time-based tasks are more demanding, drivers given event-based errands showed greater difficulty in mirroring lead vehicle speed changes compared to the time-based group. Results suggest that common everyday secondary tasks, such as scouting the roadside for a bank, may have a detrimental impact on driving performance. The additional finding that this cost was only evident with the event-based task highlights a potential area of both theoretical and practical interest. Practitioner Summary: Drivers were given either time- or event-based errands whilst engaged in a simulated drive. We examined the effect of errands on an ongoing vehicle follow task. In contrast to previous non-driving studies, event-based errands are more disruptive. Common everyday errands may have a detrimental impact on driving performance.
A Multi-Stage Self-Interference Canceller for Full-Duplex Wireless Communications

As full-duplex being considered as one of the most promising techniques for 5G, self- interference (SI) cancellation has drawn significant research attention. In this work, we present the design of a multi-stage SI canceller for full-duplex wireless communication. The SI canceller consists of a two-stage passive reconstruction based analog cancellation which can suppress not only the strongest SI component but also multi-path SI components received within tens of nanoseconds, and a final stage of digital cancellation for suppressing the remaining SI components, in which distortion of SI signal caused by transceiver in-phase/quadrature-phase imbalance is taken into account. We show by indoor experiments that the proposed SI canceller can provide 122dB of SI suppression over 20MHz bandwidth.
The Cognitive and Motivational Functions of Imagery Among Athletic Trainers

Knowledge of imagery is a required competency for athletic trainers (ATs) but research has yet to consider imagery use by ATs despite its relevant application for learning, planning, and controlling emotions in high stakes situations like rehabilitation, competency exams or novel injury situations. Aligned with the Applied Model of Mental Imagery, this study examined the cognitive and motivational functions of imagery used by 59 certified ATs and 34 AT students (N = 93, 19-48 years of age). Participants completed the Sport Imagery Questionnaire modified for the population. Image function and direction were also considered. Imagery training was only reported by 23% of the participants but 50% reported encouraging their athletes to use imagery and 86% believed the skill enhances their duties. Internal consistencies of the five image content subscales ranged from . 83 to . 68 and inter-scale correlations ranged from . 72 to . 76. ATs reported using MG-Mastery most frequently followed by CS-Skills CG-Strategies MG-Arousal and MS-Goals. Independent t-tests indicated MG-Goals was used more by students than certified ATs, t(91)=2.04, p<. 05, and by non-practicing ATs than those who practiced, t(91)=-4.01, p<. 001. Participants from curriculum programs reported more use of MG-Arousal than those from internship programs, t(91)=2.23, p=. 05 and there was no gender variation across subscales. A trend of significant, negative correlations between education and the three motivation functions of imagery indicated the more educated ATs used imagery less for controlling emotions, mastering skills and setting goals. However, overall, the most frequently cited reason for using individual images was for confidence, followed by anxiety, goals, and skills and strategies. The majority of images were perceived to help job performance while one CG-Strategies and 4/5 MG-Arousal items were perceived as harmful to performance. Enhancing AT curricula with systematic training in psychological skills would enhance AT performance and disseminate information to clients.
The Self-construal of Students at a Private Higher Learning Institution

The present study aims at exploring the self-construal of students at a private higher learning institution in Yogyakarta with paying attention to their gender and ethnic background, namely Javanese versus non-Javanese (Chinese, Dayakese, Batakese, Sundanese, Ambonese, Balinese, Betawinese, and Floresnese). The instrument was Skala Konstrual-diri (n = 18; α = 0,6749), the Indonesian adaptation of the Self-Construal Scale developed by Theodore M. Singelis (1994). A total 0f 176 sophomores of 9 different ethnic background (131 Javanese and 45 non-Javanese) from 20 study programs in 7 different faculties participated as Subjects. The results led to two major conclusions. First, as members of Eastern collectivistic communities, both Javanese and non-Javanese Subjects in general tend to have an interdependent self-construal, but this tendency is significant only among the Javanese. Second, although there is a tendency for female Subjects in general to have a more interdependent self-construal than male Subjects, but the difference is not significant among both the Javanese and non-Javanese Subjects.