Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Evaluation Of Proportional Fair And Round Robin Schedulers In Two-Layer Ffr

: Different fractional frequency reuse (FFR) schemes have been proposed in literature, with the most common being the two-layer scheme. In this scheme, the cell is divided into an inner region and an outer region. Different frequency sub-bands are used in each region, with the inner region typically having a reuse-1 scheme and the outer region a reuse-3 scheme. This has been shown to be effective in reducing inter-cell interference and subsequently improving reception for the cell edge users. This paper investigates the effect of using different schedulers in the inner and outer regions of a two-layer FFR scheme. The schedulers chosen for evaluation are the proportional fair scheduler and the round robin scheduler. Different scheduler combinations are investigated for various values of β_FR to evaluate performance trends. Metrics considered for evaluation are the mean, peak and edge throughput, as well as fairness. Simulation results clearly show that the proportional fair scheduler outperforms the round robin scheduler in both throughput and fairness. We also conclude that optimal FFR performance can only be obtained by trading between throughput (spectral efficiency) and fairness, regardless of any scheduler combination considered.
Embedded in context: How time and distance affect the convergence of personnel selection practices

Traditional recruiting activities are marked by information asymmetry and organisational information control, leading to uncertainty among applicants about employer attractiveness. New technologies profoundly change the picture. Recruiting websites provide more thorough, yet controlled information; online employer reviews offer employee‐generated information mostly out of organisational control. While this diminishes information asymmetry, applicants have to handle incongruent information. It remains largely unclear how so‐called ‘mixed signals’ affect employer attractiveness and how applicants interpret them. To address the issue, we developed an integrated theoretical framework based on signalling and convention theory to better understand how applicants interpret and evaluate signals about employers. We then conducted a mixed‐method study to examine how congruent and mixed signals influence perceived employer attractiveness. Our results show that while congruent signals increase employer attractiveness and mixed‐signal situations reduce it, distinct evaluative patterns emerge when potential applicants reflect and judge employers. Implications for future research and practice are discussed.
Effect of hot and cooled carbohydrate diet on glycemic response in healthy individuals: a cross over study

Background: Cooling of starch after cooking is known to cause starch retrogradation which increases resistant starch content. Resistant starch cannot be digested in the gut and acts as dietary fiber. The study aimsed to determine the effect of cooling of carbohydrate rich diet on glycemic response on healthy adults. Methods: The present study was a randomized, single blind, crossover study where 20 healthy subjects were selected. Two rice preparations were used, one freshly prepared hot, second, cooked and cooled at 4°C for 12 hours. All subjects were evaluated after giving both rice preparations separately with a crossover period of 7 days. Glycemic response was checked over a period of 2 hours at various time intervals using ACCU-CHEK® Active glucometer. Results: Glycemic response with cooled white rice was better in comparison to freshly prepared hot white rice at all time points (mean±SD, 121.9±17.4 vs 128.0± 22.1 mg/dl). However, the difference in means at 30 mins was maximum and statistically significant (p<0.001). Conclusions: Cooled white rice yields better glycemic response when consumed by healthy individuals possibly due to formation of resistant starch.
Organometallic complexes for photodynamic therapy

In the search of new and efficient photosensitizers, in this work B ODIPY-bonded Iridium (III) cyclometalated compounds (BODIPY: 4,4-difluoro-4-bora-3a,4a-diaza-s-indacene dyes) have been synthetized and characterized. Through a rational design, compounds absorbing light in the visible range of the electromagnetic spectrum have been achieved, which efficiently generate singlet oxygen, even at wavelengths reaching the clinic window, where the penetration in tissues is higher. Phosphorescence and time-resolved measurements and theoretical calculations have been carried out in order to explain the photosensitization activity of the compounds, and the results suggest that the BODIPY moiety is the responsible for the singlet oxygen generation. Photodynamic Therapy activity has been studied in vitro with HeLa cells. These experiments showed that the complexes are efficiently internalized into the cells and display low dark-toxicity and high-phototoxicity even at low concentration rates. As a result, it can be asserted that the compounds herein described are potentially suitable as theragnostic agents, since they exhibit also fluorescence emission in addition to the photosensitizing activity. KEYwORDS: iridium (III) complexes, BODIPY dyes, photodynamic therapy, singlet oxygen, photosensitiz-
Social sensing of high-impact rainfall events worldwide: A
benchmark comparison against manually curated impact
observations

Abstract. Impact-based weather forecasting and warnings create the need for reliable sources of impact data to generate and evaluate models and forecasts. Here we compare outputs from social sensing – analysis of unsolicited social media data, in this case from Twitter – against a manually curated impact database created by the UK Met Office. The study focuses on high-impact rainfall events across the globe between January–June 2017. Social sensing successfully identifies most high-impact rainfall events present in the manually curated database, with an overall accuracy of 95 %. Performance varies by location, with some areas of the world achieving 100 % accuracy. Performance is best for severe events and events in English-speaking countries, but good performance is also seen for less severe events and in countries speaking other languages. Social sensing detects a number of additional high-impact rainfall events that are not recorded in the Met Office database, suggesting that social sensing can usefully extend current impact data collection methods and offer more complete coverage. This work provides a novel methodology for the curation of impact data that can be used to support the evaluation of impact-based weather forecasts.
HONG: EDUCATION ON ASB MANAGEMENT IN THE ELDERLY

Methods Retrospective chart audits were conducted on two cohorts of positive urine cultures (n = 201) obtained from a geriatric acute care unit to determine the incidence of treated ASB. The first cohort (n = 101) was analyzed from January to July 2017. Education was provided to unit staff (e.g., nurses, physicians, pharmacists) in Fall 2017. The second cohort (n = 100) was analyzed from January to July 2018. Descriptive statistics were used to summarize and compare the results from the cohorts.
Cross-industry Productivty Growth Differences∗

In a multisector model with endogenous knowledge generation, we find that long run differences in sectoral productivity growth are mainly driven by receptivity — the extent to which firm research benefits from prior knowledge regardless of the source. R&D intensity also depends on appropriability — the fraction of receptivity that accrues from the firm’s own stock of knowledge. We show that optimal R&D subsidies should target sectors with higher receptivity but lower appropriability. Using patent data for 14 US industries, we find that quantitatively receptivity is the main factor behind differences in industry TFP growth rates and R&D intensities. JEL Codes: D24, O3, O41 .
Effect of design parameters of dental implant on stress distribution: a finite element analysis

Nowadays, root osseointegrated dental implants are used widely in dentistry mainly for replacement of the single missing tooth. The success rate of osseointegrated dental implants depends on different factors such as bone conditions; surgery insertion technique, loading history, and biomechanical interaction between jawbone and implant surface. In recent years, many studies have investigated design factors using finite element analysis with a concentration on major parameters such as diameter, pitch, and implant outlines in the distribution of stress in the bone-implant interface. There is still a need to understand the relationship and interaction of design factors individually with stress distribution to optimize implant structure. Therefore, the present study introduced a new dental implant and investigated the effect of design parameters on stress distribution. The finite element modeling was developed to facilitate the study with a comparison of design parameters. Boundary and loading conditions were implemented to simulate the natural situation of occlusal forces. Based on results, V-shape threads with maximum apex angle caused a high rate of micro-motion and high possibility of bone fracture. Low Von-Mises stress was associated with low bone growth stimulation. Besides, small fin threads did not integrate with cancellous bone and consequently lower stress accommodation. V-5 fin had no extraordinary performance in cancellous bone. Small surface areas of fins did not integrate with the surrounding bone and high-stress concentration occurred at the tail. These fins are recommended as threads replacement. It was concluded that the implant structure had less influence on stress distribution under horizontal loading.
Fostering a high efficient waveguide diplexer to improve 5G network frequency spectrum for IoT devices in cloud

In recent days Internet of Things and 5G network connection are complement to each other. The 5G networks would surpass 4GLTE, 4G, 3G and the other networks we used. It has become a boon for the end users and corporate due to its architecture to handle the heavy data traffic of connected smart devices and large amount of smart phone users worldwide. 5G devices should support longer battery and available at low cost and consume less energy. Some smart phones have ability to charge wirelessly through inductive coupling between base and the phone. In advanced options for charging IoT devices Wireless deportation technology is integrated. To curb network congestion in denser areas and to operate at higher data rates in Ka band applications this research paper analyzes the impact of WR-28 Waveguide Diplexer to improve network frequency spectrum around 30GHz for IoT devices in cloud services. The design simulation and modeling are implemented by using Antenna Magus version 5.5 Software.
Preparation and characterisation of selected d and p elements carbides

This thesis is focused on carbide ceramics synthesis, more specifically on the synthesis of a Ti2AlC MAX Phase carbide using solution chemistry rather than powder metallurgy. Chloride and nitrate precursors have been used as a source of metals and citric acid as a source of carbon for carbothermal reduction and as a complexing agent. A new route of precursor synthesis has been developed based on peroxo-titanic acid, which helps retain aluminium. The syntheses were performed using the SPS facility to ensure high heating rates. Al4C3 and TiC carbides and their mixtures were prepared successfully. However, the Ti2AlC phase was not synthesized under used conditions. The phase composition, structure and grain sizes of the samples were investigated by powder X-ray diffraction, X-ray fluorescence and electron microscopy. The contents of carbon in the precursors were determined by thermogravimetric analysis.
Data Analytics for Land Use and Land Cover Problems: A Survey

: This surveys Land Cover/Land use platforms along with the big data analytics and assesses the advantages and drawbacks of based on every platforms of scalability, data I/O rate, fault tolerance, real time processing, data size data size and iterative task supported. The earth surface is rapidly changing every day due to certain natural reasons and other impacts by society. Over few decades the remote sensing and GIS (Geographic Information System) are the hottest topic for evolving the environments from the earth. The enlargement of several world wide modifications related to the nature of earth, LULC changes are considered as the matter of utmost importance in the natural atmosphere and it has became the interesting area to be studied by researcher on various process like pre-processing, classification and prediction. the flow of LULC change analysis process, the challenges faced during each process by the researchers are discussed. The main objective of this paper is to provide an in depth analysis of different platforms available for performing data analytics in Land Use/ Land Cover.
Effect of annealing and chemical treatment on structural and optical properties of CuPcTs/PEDOT:PSS (BHJ Blend) thin films

In this work, The effect of annealing treatment at different temperatures (373, 423 and 473) K and chemical treatment with talwen at different immersion time (40, 60 and 80) min on structural and optical properties of the bulk heterojunction (BHJ) blend copper phthalocyanine tetrasulfonic acid tetrasodium salt/poly dioxyethylenethienylene doped with polystyrenesulphonic acid (CuPcTs/PEDOT:PSS) thin films were investigated. The films were fabricated using spin coating technique. X-ray diffraction (XRD) measurements displayed only one peak at 2θ =4.5o corresponding to (001) direction which has dhkl larger than for standard CuPcTs. The dhkl increase then decrease with increasing annealing temperature andthe time of chemical treatment with talwen. FTIR measurements show that, the peaks for O-H, in general, decrease with increasing annealing temperature, while the peaks corresponding to C=C aromatic bond and C-N bond decrease at 373 K then increase at 423 and 473 K. The peaks for O-H, in general, decrease with increasing immersing time, while the peaks corresponding to C=C aromatic bond and C-N bond decrease at 40 min then increase at more immersing time. From UV-visible measurements, the absorption spectra peaks for B and Q-bands increase at 373K and at 40 min immersing time with talwen and decrease at more annealing or chemical treated time.
Enhancing and Accelerating Social Science Via Automation: Challenges and Opportunities

Automation plays an increasingly important role in science, but the social sciences have been comparatively slow to take advantage of emerging technologies and methods. In this review, we argue that greater investment in automation would be one of the most effective and cost-effective ways to boost the reliability, validity, and utility of social science research. We identify five core areas ripe for potentially transformative investment, including (1) machine-readable standards, (2) data access platforms, (3) search and discoverability, (4) claim validation, and (5) insight generation. In each case, we review limitations associated with current practices, identify concrete opportunities for improvement via automation, and discuss near-term barriers to progress. We conclude with a discussion of practical and ethical considerations researchers will need to keep in mind when working to enhance and accelerate social science progress via automation.
Title : Targeting CDK 6 and BCL 2 exploits the “ MYB addiction ” of Ph + acute lymphoblastic leukemia

lymphoblastic leukemia Authors: Marco De Dominici, Patrizia Porazzi, Angela Rachele Soliera, Samanta A. Mariani, Sankar Addya, Paolo Fortina, Luke F. Peterson, Orietta Spinelli, Alessandro Rambaldi, Giovanni Martinelli, Anna Ferrari, Ilaria Iacobucci and Bruno Calabretta* Affiliations: Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, U.S.A; Department of Diagnostic, Clinical Medicine and Public Health, University of Modena, Italy; Present Address: The Queen’s Medical Research Institute, Centre for Inflammation Research, The University of Edinburgh, Scotland, UK; Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, U.S.A; Hematology and Bone Marrow Transplant Unit, Ospedale Papa Giovanni XXIII, Bergamo, Italy; Department of Hematology and Istituto L. and E. Seragnoli, University of Bologna, Italy;
Evaluation of apical transportation and apical root sealing in root canals prepared with mtwo rotary system with and without apical enlargement – an in vitro study

The aim of this study was to evaluate apical transportation and apical root canal sealing after root canal filling in human teeth prepared with MTwo® Rotary System with and without apical foramen enlargement. Twenty mandibular premolars were divided into two groups (n=10). Group 1 had root canals prepared 1mm beyond the apical foramen. Group 2 had root canals prepared 1mm below the root canal length. After chemo-mechanical preparation, samples were submitted to scanning electronic microscopy. Apical foramen images had 75x magnification at standardized positions, allowing measurements from the apical foramen area before and after root canal preparation, and after root canal filling. Apical foramen shape and apical transportation, as well as its level of circumferential filling after root canal preparation were accessed using the Image Subtraction System. Scanning electronic microscopy analysis demonstrated that samples of Group 1 showed larger foraminal diameter than samples of Group 2 (p<0.05). Apical foramen transportation was statistically different between Groups 1 and 2 (p=0.0108). Furthermore, the apical foramen sealing also differed statistically between groups 1 and 2 (p=0.0007) and 100% of samples of Group 1 showed apical root canal sealing. Apical root canal sealing was more effective when the root canal was prepared with apical foramen enlargement, even when the apical transportation was detected.
Compact Microstrip-Based Folded-Shorted Patches by PCB Technology for Use on Microsatellites

A compact printed circuit board (PCB) antenna for use on microsatellite was designed and measured for UHF low data rate communication applications. In particular, the miniaturized and fully integrated antenna structure consists of an array of four, linearly polarized folded-shorted patch elements placed in a sequential rotation with a coupler-based feeding circuit to achieve circular polarization. Dimensions of the fabricated and measured PCB antenna are 0. 2λ0 by 0. 2λ0 by 0. 05λ0. Measured gain values are greater than 0.4 dBic at 398 MHz. A design procedure for the microstrip-based antenna is provided along with a transmission line model that accurately predicts the operation and resonant frequency of the miniaturized patches. Numerical calculations are in agreement with the fullwave simulations as well as the antenna measurements which demonstrate functionality. The miniaturized and low cost antenna unit can be useful for space communications and other surveillance applications as well as network formations of small satellites where broad beam patterns with low gain values are required for adequate coverage.
The Impact of a Mathematics Bridging Intervention on the Inclusivity of a University Economics Programme

The inclusivity of all students in the University Economics programme is in danger due to a high failure rate in the first-year mathematics course. This study investigates whether participation in a bridging course, and what aspects of it, can contribute to equal opportunities and increased inclusivity in the Mathematics for Economists course, and henceforth reduce the failure rate. It adds to the meager European literature on remedial course effectiveness. Through the use of ordinary least square regression analyses, a significant positive effect of participation in the bridging course was found for the student group as a whole. Furthermore, the results indicated that participation was particularly valuable for the least mathematically prepared students.
EU General Data Protection Regulation Sanctions in Theory and in Practice

Prior to the application of the EU General Data Protection Regulation (GDPR), one of the results of the relatively-low-level of legislatively permitted data protection violation administrative fines was, arguably, a lack of compliance by U.S. Tech Giants, among others. At least on paper, this changed under the GDPR. This study approaches the issue of GDPR sanctions, not through the lens of a future catastrophe, but though a development first of the theoretical grounds for sanctions, prior to a view of the practical side of them. In doing so, it is somewhat unique and adds to the GDPR literature. Furthermore, it engages the legal strategy and compliance literature to bring its results home to inform companies as to the risks involved and to provide strategic recommendations both for companies and for regulators. <br> <br>Among the several sub-goals of sanctions, this study determines that the most relevant for an analysis of GDPR sanctions—which are administrative, regulatory and financial sanctions, in large part—is the deterrence function, beyond the symbolic functions. This demands effective and substantial administrative fines. While these are not the only sanctions available under the GDPR—this study also sets out a range of possible sanctions, such as judicial compensation and orders to halt data processing—they are perhaps the most characteristic of data protection enforcement. However, through what is referred to as the one-stop-shop mechanism, the Irish DPA is the lead authority for most of the U.S. Tech Giants, and it has failed to act against them up to now, resulting in a potential lack of deterrence. This study argues that, on the one hand, companies should embrace compliance, and the other hand, truly dissuasive administrative fines must be issued in order for the sanctions to have their necessary deterrence effect.
Determination of Covid-19 Possible Cases by Using Deep Learning Techniques

A large number of cases have been identified in the world with the emergence of COVID-19 and the rapid spread of the virus Thousands of people have died due to COVID-19 This very spreading virus may result in serious consequnces including pneumonia, kidney failure acute respiratory infection It can even cause death in severe cases Therefore, early diagnosis is vital Due to the limited number of COVID-19 test kits, one of the first diagnostic techniques in suspected COVID-19 patients is to have Thorax Computed Tomography (CT) applied to individuals with suspected COVID-19 cases when it is not possible to administer these test kits In this study, it was aimed to analyze the CT images automatically and to direct probable COVID-19 cases to PCR test quickly in order to make quick controls and ease the burden of healthcare workers ResNet-50 and Alexnet deep learning techniques were used in the extraction of deep features Their performance was measured using Support Vector Machines (SVM), Nearest neighbor algorithm (KNN), Linear Discrimination Analysis (LDA), Decision trees, Random forest (RF) and Naive Bayes methods as the methods of classification The best results were obtained with ResNet-50 and SVM classification methods The success rate was found as 95 18% [ABSTRACT FROM AUTHOR] Copyright of Sakarya University Journal of Science is the property of Sakarya University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )