nils-herrmann/clean_scirepeval huggingface dataset:
qbyl@ (Acanthaclisini (Neuroptera: Myrmeleontidae dr yrn
Year: 2019

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Nanotube Polymer Composites for Ultrafast Photonics
Year: 2009

Polymer composites are one of the most attractive near term means to exploit the unique properties of carbon nanotubes and graphene. This is particularly true for composites aimed at electronics and photonics, where a number of promising applications have already been demonstrated. One such example is nanotube based saturable absorbers. These can be used as all optical switches, optical amplifier noise suppressors, or mode lockers to generate ultrashort laser pulses. Here, we review various aspects of fabrication, characterization, device implementation and operation of nanotube polymer composites to be used in photonic applications. We also summarize recent results on graphene based saturable absorbers for ultrafast lasers.
Review Paper: Overriding of Drug Safety Alerts in Computerized Physician Order Entry
Venue: J. Am. Medical Informatics Assoc.
Year: 2006

Many computerized physician order entry (CPOE) systems have integrated drug safety alerts. The authors reviewed the literature on physician response to drug safety alerts and interpreted the results using Reason's framework of accident causation. In total, 17 papers met the inclusion criteria. Drug safety alerts are overridden by clinicians in 49% to 96% of cases. Alert overriding may often be justified and adverse drug events due to overridden alerts are not always preventable. A distinction between appropriate and useful alerts should be made. The alerting system may contain error producing conditions like low specificity, low sensitivity, unclear information content, unnecessary workflow disruptions, and unsafe and inefficient handling. These may result in active failures of the physician, like ignoring alerts, misinterpretation, and incorrect handling. Efforts to improve patient safety by increasing correct handling of drug safety alerts should focus on the error producing conditions in software and organization. Studies on cognitive processes playing a role in overriding drug safety alerts are lacking.
Student's Competencies and Learning Experiences on Bookkeeping of Grade 9 and 11 ABM Students in Canda National High School
Year: 2020

Bookkeeping is not really an easy part of competency in Fundamentals in Accountancy, Business and Management which needs to be carefully analyzed by the students. This study was conducted to test the competencies of Grade 9 and 11 ABM students in studying bookkeeping as well as to know the learning experience of the said students in Canda NHS. Furthermore, it compares the level of knowledge between pre test and post test, the teaching and learning experience and its implication. This study used quantitative and qualitative design through descriptive comparative with quasi experimental and exploratory studies with experience survey. It also used non probability sampling such as purposive and stratified sampling. To analyze the data, researchers used unstructured questionnaire and open ended questions used in interview to respondents with statistical treatment of weighted arithmetic mean, and t test. Moreover, this study also followed the ethical standard through the change of other name such as student 1, 2, 3,4 and a,b,c,d. Studying bookkeeping of Grade 11 ABM students and to Grade 9 as integration in Technology, Livelihood Education (TLE) gave a significant impact which we have seen on their pre test and post test, respondents based on their qualitative response regarding on how students believe they learn bookkeeping revealed that bookkeeping is difficult but if we could analyze, more practice, techniques to improve knowledge and believe in ourselves, it will become easy. Further, students must learn bookkeeping because it is about keeping financial records and; respondents said that teacher used a productive, good and useful visual aids and power point presentation. That is why the students are more interested to listen to the new topic and willingly participate in every recitation and activity that we had.
Periodontal considerations in implant therapy
Year: 2010

This paper is aimed to address periodontal considerations around dental implants. Tools used to identify disease/infection and techniques developed to correct peri implant infection were thoroughly discussed. Procedures that have been successful used in maintaining/correcting soft/hard tissue problems around dental implants were explored.  Critical appraisal of the current techniques regarding the soft/hard tissue grafts is performed. Techniques that have shown predictable outcomes were selected and discussed. Guidelines for treating peri implant infection and dealing with different soft/hard tissue defects were provided.  Peri implant infection can be early identified and treated. Ridge preservation as well as guided bone regeneration prior to implant placement had been widely adopted as the predictable treatment methods. Soft tissue grafting such as connective tissue graft, ovate pontic site development, and other common soft tissue grafts (e.g. roll, pouch, interpositional grafts, onlay grafts and combination grafts) can be successfully applied in augmenting peri implant tissue height and width while achieving esthetics around dental implants. In addition, implant maintenance care is necessary for the overall success.  To maintain implant long term success, the interface between soft and hard tissues should be clearly understood. Several procedures such as ridge preservation and guided bone regeneration have shown promising results in restoring/maintaining the alveolar bone height and width to facilitate ideal implant placement. Many soft tissue grafts, for example connective tissue graft, have been used to augment soft tissue thickness while provide esthetic results around dental implants.
Cognitive behavioral treatment for depressed adolescents: results from a cluster randomized controlled trial of a group course
Venue: BMC Psychiatry
Year: 2019

BackgroundThe group based CBT intervention, the Adolescent Coping with Depression Course (ACDC) has previously been evaluated within a quasi experimental design, showing reduction in depressive symptoms compared to a benchmark of similar studies. The aim of our study was to investigate the effectiveness of ACDC within a randomized controlled (RCT) design.MethodThirty five course/control leaders randomly assigned to provide ACDC or usual care (UC) recruited 133 adolescents allocated to ACDC and 95 to UC. ACDC participants received eight weekly sessions and two follow up sessions about 3 and 6 weeks after the last session. UC participants received usual care as implemented at the different sites. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale for adolescents (CES D) perfectionism with the revised version of the Dysfunctional Attitude Scale (DAS) and rumination with the revised version of the Ruminative Responses Scale (RRS) Attrition was considered missing at random (MAR) and handled with a full information maximum likelihood (FIML) procedure.ResultsIntention to treat analysis (ITT) including baseline scores and predictors of missing data as control or auxiliary variables, showed a small to medium reduction in depressive symptoms for the ACDC group compared to UC (d .31) Changes in perfectionism and rumination in favor of the intervention were also significant. Sensitivity analyses confirmed the findings from the ITT analyses.ConclusionsThe current study supports the effectiveness of this group based CBT intervention. The intervention can hopefully result in clinically significant reductions in symptoms associated with depression among adolescents.
WinIPS: WiFi Based Non Intrusive Indoor Positioning System With Online Radio Map Construction and Adaptation
Venue: IEEE Transactions on Wireless Communications
Year: 2017

WiFi fingerprinting based indoor positioning system (IPS) has become the most promising solution for indoor localization. However, there are two major drawbacks that hamper its large scale implementation. First, an offline site survey process is required which is extremely time consuming and labor intensive. Second, the RSS fingerprint database built offline is vulnerable to environmental dynamics. To address these issues comprehensively, in this paper, we propose WinIPS, a WiFi based non intrusive IPS that enables automatic online radio map construction and adaptation, aiming for calibration free indoor localization. WinIPS can capture data packets transmitted in existing WiFi traffic and extract the RSS and MAC addresses of both WiFi access points (APs) and mobile devices in a non intrusive manner. APs can be used as online reference points for radio map construction. A novel Gaussian process regression model is proposed to approximate the non uniform RSS distribution of an indoor environment. Extensive experiments were conducted, which demonstrated that WinIPS outperforms existing solutions in terms of both RSS estimation accuracy and localization accuracy.
An Accurate Power Control Strategy for Power Electronics Interfaced Distributed Generation Units Operating in a Low Voltage Multibus Microgrid
Venue: IEEE Transactions on Power Electronics
Year: 2009

In this paper, a power control strategy is proposed for a low voltage microgrid, where the mainly resistive line impedance, the unequal impedance among distributed generation (DG) units, and the microgrid load locations make the conventional frequency and voltage droop method unpractical. The proposed power control strategy contains a virtual inductor at the interfacing inverter output and an accurate power control and sharing algorithm with consideration of both impedance voltage drop effect and DG local load effect. Specifically, the virtual inductance can effectively prevent the coupling between the real and reactive powers by introducing a predominantly inductive impedance even in a low voltage network with resistive line impedances. On the other hand, based on the predominantly inductive impedance, the proposed accurate reactive power sharing algorithm functions by estimating the impedance voltage drops and significantly improves the reactive power control and sharing accuracy. Finally, considering the different locations of loads in a multibus microgrid, the reactive power control accuracy is further improved by employing an online estimated reactive power offset to compensate the effects of DG local load power demands. The proposed power control strategy has been tested in simulation and experimentally on a low voltage microgrid prototype.
An RSS Pathloss Considered Distance Metric Learning for Fingerprinting Indoor Localization
Venue: 2019 IEEE Global Communications Conference (GLOBECOM)
Year: 2019

The immense diffusion of smart mobile devices increase the usage of WiFi as a state of the art wireless communication standard dramatically, and it also renders fingerprinting method for high accuracy indoor localization possible. However, the fundamental challenge of existing fingerprinting localization is that the complicated indoor spatial structure brings great difficulty to exploit the relationship between received signal strength (RSS) distribution and the process of fingerprint matching. To address this problem, in this paper, we focus on integrating the signal pathloss model into distance metric learning, and a novel cost similar to the Large Margin Nearest Neighbor (LMNN) is designed to conduct offline metric learning procedure. The proposed metric learning, which is pathloss model practically considered to learn the mapping between signal strength distribution and physical space structure, aims to obtain a reasonable distance matrix for k Nearest Neighbor (KNN) based indoor localization. Experiment results corroborate that the proposed metric learning method can further improve the indoor localization accuracy compared with the conventional methods and its effectiveness is validated extensively in various cases for testing.
First principles study on the gas phase decomposition of bio oil oxygenated compounds over the palladium catalyst surface.
Venue: Physical chemistry chemical physics PCCP
Year: 2019

Unprocessed bio oils derived from the thermochemical conversion of lignocellulosic biomass suffer from low energy density primarily due to the presence of high amounts of oxygen functional groups. Therefore, the elimination of oxygen atoms over a suitable catalyst surface is viewed as one of the appropriate mechanisms for elevating the quality of bio oils. Here, in this computational study, three oxygenated bio oil model compounds, namely, 2 butenal, butan 2,3 diol, and butan 2,3 dione were considered as the representative compounds of the oxygenated catalogue of bio oils. The decomposition mechanisms of these model compounds along with microkinetic modelling were studied over a palladium catalyst surface to produce low or no oxygen containing products under the density functional theory (DFT) framework. Propene and methane were observed as the major products in the decomposition processes of 2 butenal and butan 2,3 dione, respectively. Butan 2,3 diol showed no major products due to high barriers. The increase in temperature was observed to be beneficial for improving the reaction rate constants; however, in many cases, the elevation of temperature shifted the equilibrium towards the reactants. CO acted as one of the major inhibitors due to the decarbonylation reaction of aldehydes.
L'impact de la dynamique de l'integration regionale sur les pays de la SADC: une analyse theorique et empirique
Year: 2009

Cette etude fait un examen theorique et empirique approfondi des effets de l'integration economique regionale dans un espace en developpement. En prenant le cas de la SADC (Southern African Developpment Community Communaute des Etats de l'Afrique australe) l'objet est de verifier si cette cooperation Sud Sud verifie un ensemble des effets attendus de la regionalisation, a savoir, la creation et la deviation de commerce, l'attractivite des investissements directs etrangers, la croissance endogene regionalisee et la synchronisation de l'evolution des economies integrees. Apres avoir presente la trajectoire du regionalisme austral et les difficultes ainsi que les asymetries des gains lies a ce regroupement base sur l'heterogeneite des pays, nous montrons ensuite que l'integration economique de la SADC genere des effets de creation de commerce qui ne decoulent pas forcement des effets de detournement, pour cause de raison structurelle. En effet, la SADC est un bloc commercial dont la structure productive ne permet pas de detourner ses echanges avec l'Exterieur, meme si certains de nos resultats estiment un leger effet de detournement de commerce de la zone. Dans un autre contexte, nous justifions econometriquement que la SADC est un argument credible en matiere d'attractivite des investissements directs etrangers. La region a fait des efforts pour rendre ses economies attractives. Nos resultats montrent que l'integration pourrait expliquer les 1/3 des IDE entrants au sein de la region depuis la refondation de l'organisation australe. Le reste des flux entrants serait du aux effets specifiques nationaux. On retient egalement de cette etude que la constitution d'un capital spatial austral semble valider l'hypothese d'une croissance endogene regionalisee. Autrement dit, la SADC en tant qu'organisation regionale et spatiale serait un facteur de croissance economique pour les pays membres. Les principaux effets induits par la creation du bloc austral (creations commerciales et flux des IDE, etc. ont un impact favorable sur le PIB/tete des pays. Ceci nous amene alors a verifier si les differents effets issus de la regionalisation australe permettent de surcroit la synchronisation des economies membres dans l'esprit de la theorie de l'endogeneite des criteres de la ZMO. D'apres nos estimations et nos resultats, il ressort que la teneur de ces effets est insuffisante pour permettre une meme trajectoire convergente des economies de la SADC. Cependant, certains signes empiriques montrent que la SADC est une zone disposee a endogeneiser les criteres d'optimalite en termes de convergence economique. Autrement dit, elle semble repondre a l'argument de Frankel et Rose (1998) puisque l'effet commercial a un signe negatif malgre le fait qu'il ne soit pas significatif. Enfin, contrairement a ce que l'on peut croire, la creation d'une union monetaire au sein de la SADC n'est pas forcement favorable a la synchronisation de l'evolution des economies membres si l'on tient compte de l'evolution actuelle des choses.
Role of Functional Conflict on Employee Engagement through Effective Negotiation in Banking Sector of Hyderabad Sindh, Pakistan
Year: 2020

Conflict is an inevitable part of human life; however, the functional conflict is considered positive in professional life as it encourages competition and enhances employee performance due to employee engagement. Conflict in the workplace can take place in any forms but the major conflict studied in this paper is task conflict and relationship conflict. This research aims to evaluate the role of task conflict and relationship conflict towards negotiation as an intervening variable, leading towards employee engagement in the banking sector of Hyderabad.  This paper is based on quantitative research in which a deductive tactic is adopted. A structured questionnaire was used to gather data by using a single (monomethod) technique. 152 respondents participated in the survey from the banking sector of Hyderabad out of which 140 valid cases were taken for this research. To test and analyze the data; statistical tests and descriptive analyses were done using SPSS software.  The outcome of the research revealed that task conflict is not the strong predictor of intervening variable i.e. negotiation whereas, relationship conflict is a strong predictor of negotiation and can influence employee engagement.  To test the relationship between independent variables (IV) i:e (task conflict and relationship conflict) and dependent variable (DV) (employee engagement) through intervening variable i:e negotiation. Although this research considered two independent variables one of the Review Article Khushk; AJEBA, 14(1) 9 16, 2020; Article no.AJEBA.54262 10 variables in this study is found to have negative relation i:e Task Conflict (TC) whereas, relationship conflict is considered positive and is a strong predictor of intervening variable i:e negotiation which has an effect on employee engagement. Finding from this research helps identify the relationship between variables and contributes well to the research objectives.
Sulfoximines as Rising Stars in Modern Drug Discovery? Current Status and Perspective on an Emerging Functional Group in Medicinal Chemistry.
Venue: Journal of medicinal chemistry
Year: 2020

Sulfoximines have been largely disregarded in medicinal chemistry for a long time. However, recently, they have risen to the apparent level of stardom on the drug discovery scene. Considering the outstanding properties of sulfoximines, this versatile functional group has advanced to implementation in several drug discovery programs. Currently, this fashionable functional group can be found in various hit to lead and lead optimization studies in early stages and in several compounds currently in clinical trials. Herein, we review recent developments to demonstrate the scope and limitations of this interesting and versatile functional group in medicinal chemistry and drug discovery.
A territory wide study of early COVID 19 outbreak in Hong Kong community: A clinical, epidemiological and phylogenomic investigation
Venue: medRxiv
Year: 2020

Initial cases of coronavirus disease 2019 (COVID 19) reported in Hong Kong were mostly imported cases from Mainland China. However, most cases reported in February 2020 were local infections with unknown source, indicating local community transmissions. This study aimed to report the clinical, epidemiological and phylogenomic characteristics of the local cases of COVID 19 in our community.  We extracted the demographic, clinical and epidemiological data from 50 COVID 19 patients, who accounted for 53.8% of the cases in Hong Kong by the end of February 2020. We used both Nanopore and Illumina platforms to perform whole genome sequencing (WGS) of the severe acute respiratory syndrome coronavirus 2 (SARS CoV 2) from these patients. Phylogenetic relatedness among these local cases and their placement in the global phylogeny were examined. The evolutionary rate and divergence time of transmission were also determined.  Of these 50 patients, only three (6.0% had visited Wuhan while 43 (86.0% did not have recent travel records. The average interval from symptom onset to hospital admission was 8.5 days. The most common signs and symptoms on admission were cough (74.0% and fever (58.0% Radiographic abnormality was found in 46 (92.0% patients. Three (6.0% patients required ICU admission. Phylogenetic analysis concurred with epidemiological investigation that 42 (84.0% cases could be grouped into six transmission clusters. Forty four (88.0% cases harboured a common mutation Orf3a G251V. Global phylogeny of SARS CoV 2 revealed that most (88.0% cases in Hong Kong were clustered in two subclades with the strains from other countries. The estimated time to the most recent common ancestor (tMRCA) of COVID 2019 outbreak in Hong Kong was December 24, 2019 with an evolutionary rate of 3.04x10 3 substitutions per site per year. The reproduction number value was 1.84 as of February 28, 2020 in Hong Kong.  We provided a territory wide overview of COVID 19 in Hong Kong, which has borders connecting to Mainland China. Transmission in closed settings especially during family and religious gatherings is a hallmark of the recently reported cases. The reproduction number value indicated an ongoing outbreak in the community. Social distancing and vigilant epidemiological control are crucial to the containment of COVID 19 transmission
A Swarm Intelligence Model for Enhancing Health Care Services in Smart Cities Applications
Year: 2019

Cloud computing plays a significant role in healthcare services (HCS) within smart cities due to its the ability to retrieve patients' data, collect big data of patients by sensors, diagnosis of diseases and other medicinal fields in less time and less of cost. However, the task scheduling problem to process the medical requests represents a big challenge in smart cities. The task scheduling performs a significant role for the enhancement of the performance through reducing the execution time of requests (tasks) from stakeholders and utilization of medical resources to help stakeholders for saving time and cost in smart cities. In addition, it helps the stakeholders to reduce their waiting time, turnaround time of medical requests on cloud environment, minimize waste of CPU utilization of VMs, and maximize utilization of resources. For that, this paper proposes an intelligent model for HCS in a cloud environment using two different intelligent optimization algorithms, which are Particle Swarm Optimization (PSO) and Parallel Particle Swarm Optimization (PPSO) In addition, a set of experiments are conducted to provide a competitive study between those two algorithms regarding the execution time, the data processing speed, and the system efficiency. The results showed that PPSO algorithm outperforms on PSO algorithm. In addition, this paper proposes a new PPSO dependent algorithm using CloudSim package to solve task scheduling problem to support healthcare providers in smart cities to reduce execution time of medical requests and maximize utilization of medical resources.