Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of a Digital Patient Empowerment and Communication Tool on Metabolic Control in People With Type 2 Diabetes: The DeMpower Multicenter Ambispective Study

Background Diabetes is a major health care problem, reaching epidemic numbers worldwide. Reducing hemoglobin A1c (HbA1c) levels to recommended targets is associated with a marked decrease in the risk of type 2 diabetes mellitus (T2DM)–related complications. The implementation of new technologies, particularly telemedicine, may be helpful to facilitate self-care and empower people with T2DM, leading to improved metabolic control of the disease. Objective This study aimed to analyze the effect of a home digital patient empowerment and communication tool (DeMpower App) on metabolic control in people with inadequately controlled T2DM. Methods The DeMpower study was multicenter with a retrospective (observational: 52 weeks of follow-up) and prospective (interventional: 52 weeks of follow-up) design that included people with T2DM, aged ≥18 and ≤80 years, with HbA1c levels ≥7.5% to ≤9.5%, receiving treatment with noninsulin antihyperglycemic agents, and able to use a smartphone app. Individuals were randomly assigned (2:1) to the DeMpower app–empowered group or control group. We describe the effect of empowerment on the proportion of patients achieving the study glycemic target, defined as HbA1c≤7.5% with a ≥0.5% reduction in HbA1c at week 24. Results Due to the COVID-19 pandemic, the study was stopped prematurely, and 50 patients (33 in the DeMpower app–empowered group and 17 in the control group) were analyzed. There was a trend toward a higher proportion of patients achieving the study glycemic target (46% vs 18%; P=.07) in the DeMpower app group that was statistically significant when the target was HbA1c≤7.5% (64% vs 24%; P=.02) or HbA1c≤8% (85% vs 53%; P=.02). The mean HbA1c was significantly reduced at week 24 (−0.81, SD 0.89 vs −0.15, SD 1.03; P=.03); trends for improvement in other cardiovascular risk factors, medication adherence, and satisfaction were observed. Conclusions The results suggest that patient empowerment through home digital tools has a potential effect on metabolic control, which might be even more relevant during the COVID-19 pandemic and in a digital health scenario.
Development of the Sanya Incoherent Scatter Radar and Preliminary Results

Led by the Institute of Geology and Geophysics, Chinese Academy of Sciences, we have built a brand‐new modular active digital phased array, with all solid‐state transmission and digital receiving incoherent scatter radar (ISR) in Sanya (18.3°N, 109.6°E), a station in low latitude China called Sanya ISR (SYISR) since 2015. The development of SYISR involved the indoor design and development of key components, an outdoor prototype test, and the production and debugging of the entire array. The unique features of SYISR include a single‐channel directly connected T/R unit and antenna, a radar array monitoring and calibration network, environmental adaptability design and open architecture. The entire radar has 4,096 channels and 5,930 modules in total. All the technical indices, mainly including a >2 MW peak power, a 43 dBi antenna gain and a <120 K noise temperature, either meet or are superior to the designed value through an independent evaluation. Waveforms of single pulse, linear frequency modulation, Barker code, long pulse and alternating code have been implemented to meet multiple purposes. Four observational modes for ionospheric experiments, including zenith stare, perpendicular to geomagnetic field, meridian scan, and all sky scan, have been developed. We have implemented time domain decoding, frequency domain decoding, and statistical inversion methods in calculating the autocorrelation function and power spectra in signal processing. The preliminary experimental results on ionospheric parameters, plasma lines, irregularities and hard targets are reasonable and encouraging, which greatly enhances our confidence in achieving our scientific goals in the future.
A Hybrid Method for Non-Technical Loss Detection in Smart Distribution Grids

Non technical losses (NTLs) are a major problem faced by DSOs all over the world. Traditional meter inspection techniques are not effective in detecting NTL, while the wide adoption of smart meters and smart grid technologies provide new opportunities for solving the problem. The proposed NTL detection system utilizes voltage sensitivity analysis, power system optimization, and support vector machines (SVMs) for correctly detecting NTLs in the distribution grid under various conditions. Breakout detection is used for extracting features from consumption time series and training an SVM classifier. Generalized least squares is used for estimating the network voltage self-sensitivities. Finally, the NTL detection problem is formed as a non-linear non-convex optimization problem solved with semi-definite programming relaxation. The three modules can be operated either autonomously or combined. The proposed NTL detection system is demonstrated under different scenarios to test its effectiveness.
Beaded Rims on Silver Plate Vessels in Late Roman Britain and Beyond

Abstract Beaded rims are a characteristic feature of late Roman silver plate vessels, many of which have been found in British treasures including Mildenhall and Traprain Law. This paper discusses how these beaded rims provide insights into the production of silver plate, adding to what little is known of silver plate workshops. Vessels in the Mildenhall treasure provide a case study, after which measurements from beaded rims on other treasures from Roman Britain and the western Roman Empire are compared and discussed.
Voltage Standard Based on Dry-Cooled High-Temperature Superconductor Josephson Junctions

A commercially available compact Josephson voltage standard N4-21 based on high-temperature superconductor Josephson junctions with dry nitrogen temperature cooling is presented. The cryocooler unit of the voltage standard including the cryogenic system and the high-temperature superconductivity Josephson array chip is described. The measured relative standard uncertainties between output voltages of N4-21 and the primary state voltage standard of Russia are only a few parts in 108. Such low uncertainties are sufficient for the application of voltage standard N4-21 in the highest-level metrology. The implementation of the link between Josephson junctions and Zener diodes largely eliminates the uncertainty contributions associated with Zeners nonlinear drift, environmental effects, and the impact due to shipping.
ELECTRON CLOUD BUILD-UP AND RELATED INSTABILITY IN THE CERN PS

The beam-induced electron cloud build-up is one of the major concerns for the SPS and the design of the future LHC. During the 2000 run, this effect has also been observed in the PS with the nominal LHC-type beam. The electron cloud induces a baseline distortion in electrostatic pick-up signals, both during the last turns in the PS, when the full bunch length is reduced to less than ns, and in the transfer line between the PS and the SPS rings. In the year 2001, modifications in the rf-hardware allowed us to study the properties of the beam instability related with the electron cloud phenomenon for a bunch length of about ns. The complete set of experimental observations carried out in the PS machine is presented and discussed in detail.
Self-Fertility in Red Raspberry Cultivars and Selections1

Variations in self-fertility, expressed as percentages of drupelets set, were observed among 69 red raspberry cultivars or selections. The incidence of reduced self-fertility was particularly prevalent among some of the older cultivars but was also observed in several selections. In a particular cultivar or selection reduction of self-fertility usually followed both self- and open-pollination. Reductions from self-pollination seemed mostly to involve self-incompatibility although at least one was due to reduced pollen-fertility. Reductions from open-pollination probably involved reduced numbers of functional embryo sacs.
Infinite-Server Resource Queueing Systems with Different Types of Markov-Modulated Poisson Process and Renewal Arrivals

In this paper, we propose models that significantly expand the scope of practical applications, namely, queueing systems with various nodes for processing heterogeneous data that require arbitrary resource capacities for their service. When a customer arrives in the system, the customer typeis randomly selected according to a set of probabilities. Then the customer goes to the server of the corresponding device type, where its service is performed during a random time period with a distribution function depending on the type of customer. Moreover, each customer requires a random amount of resources, of which the distribution function also depends on the customer type, but is independent of its service time. The aim of this research was to develop a heterogeneous queueing resource system with an unlimited number of servers and an arrival process in the form of a Markov-modulated Poisson process or stationary renewal process, and with requests for a random number of heterogeneous resources. We have performed analysis under conditions of growing intensity of the arrival process. Here we formulate the theorems and prove that under high-load conditions, the joint asymptotic probability distribution of the n-dimensional process of the total amounts of the occupied resources in the system is a multidimensional Gaussian distribution with parameters that are dependent on the type of arrival process. As a result of numerical and simulation experiments, conclusions are drawn on the limits of the applicability of the obtained asymptotic results. The dependence of the convergence of experimental results on the type of distribution of the system parameters (including the distributions of the service time and of the customer capacity) are also studied. The results of the approximations may be applied to estimating the optimal total number of resources for a system with a limited amount of resources.
Exact distribution theory for the maximum likelihood estimators of local trend models

This thesis has two distinct parts. The second and third chapters concern the theory and practical implementation of computing the value of the (possibly multivariate) distribution function from the known characteristic function. The remaining four chapters consist of a study of the distributional behaviour of the maximum likelihood estimator of some local trend models. The motivation of the work is the paucity of our knowledge of the behaviour of the maximum likelihood estimator of local trend models. These types of models are being increasingly used in the social sciences, but little is actually known about their theoretical behaviour, especially when we have only small sample sizes.
CO₂ Adsorption on Zeolites and Fe-MOF for Carbon Capture and Storage (CCS)

This research focused on the development of suitable materials for capturing and storing CO2 (CCS). Ferum-metal organic framework (Fe-MOF) and zeolite were prepared as adsorbents for the CO2 adsorption process. These adsorbents were characterised by employing X-ray diffraction (XRD) and Fourier Transform Infrared (FTIR) analysers. The adsorptive capacity of CO2 was conducted in an assembled facility containing of a metallic tubular container set up with a pure CO2 gas stream from a cylinder-shaped tank. The performance of these two adsorbents was investigated using two different parameters which are operating pressure and dosage of adsorbents. The exit concentration of CO2 was analyzed periodically using gas chromatography. Based on the FTIR and XRD studies, the findings suggest that the zeolite and Fe-MOF were successfully formed. The optimal adsorption conditions obtained for both adsorbents were 0.3 g of adsorbent dose and 1 bar of operating pressure. In conclusion, zeolite exhibits better performance as a CO2 adsorber due to its higher adsorption capacity than Fe-MOF.
A projection algorithm for solving pseudomonotone equilibrium problems and it's application to a class of bilevel equilibria

Abstract We propose a projection algorithm for solving an equilibrium problem (EP) where the bifunction is pseudomonotone with respect to its solution set. The algorithm is further combined with a cutting technique for minimizing the norm over the solution set of an EP whose bifunction is pseudomonotone with respect to the solution set.
Pattern generalisation in secondary school mathematics : students' strategies, justifications and beliefs and the influence of task features

Number pattern generalisation is often regarded a difficult topic for students to learn. To explore this perception, the present study undertakes an empirical investigation with the main aim of providing a comprehensive description of how 14-year-old secondary school students in Singapore generalise figural patterns and justify their generalisations when varying the formats of pattern display and the types of function. Comprising two interrelated parts, the study first examines 515 students’ strategies and justifications and probes systematically the influence of the formats of pattern display and the types of function on their generalisations through a specially developed paper-and-pencil test. The other part, through a specially designed questionnaire, looks at their beliefs about which strategy would best help them to derive the rule for predicting any term of a figural pattern as well as their ability to construct the rule using their choice of strategy. The first part uses an independent-measures research design to examine whether different formats of pattern display have any effect on students’ rule construction and a repeatedmeasures research design to determine whether their rule construction is influenced by the different types of function. In the second part, a survey study is employed with all students asked to identify their choice of best-help generalising strategy. This is then followed by interviews with 16 of the 515 students to probe whether they are able to derive a correct functional rule using their chosen strategy. This study complements many previous studies mainly undertaken in the west in that its findings indicate that the more academic students are competent in developing a functional rule for linear patterns but falters when working with quadratic patterns. There is a widespread failure of the less academic students in both linear and quadratic patterns, confirming the oft-regarded view that expressing generality is elusive. Successful students perceive the patterns in several ways and generate wide-ranging functional rules, predominantly symbolic, to describe them. They employ a variety of generalising strategies, especially the figural type, and some of which are new in the literature. Both the test and the survey confirm that the figural strategy involving the breaking up of the whole configurations into non-overlapping parts is their clear favourite. For rule justification, verifying it using the numerical cues and drawing diagrams to explain its development are their favourite approaches. Task features such as the format of pattern display and the type of functions do contribute to student difficulties in generalisation. Based on these findings, some useful teaching strategies for teachers and teacher educators are then suggested to help them improve their teaching of pattern generalisation. The findings also point the direction for future research studies on pattern generalisation by suggesting some recommendations for researchers.
EVOLVING STARBURST MODELING OF FAR-INFRARED/SUBMILLIMETER/MILLIMETER LINE EMISSION. III. APPLICATION TO NEARBY LUMINOUS INFRARED GALAXIES

In a previous work, we showed that the observed far-infrared/submillimeter/millimeter line spectra of a starburst galaxy (M82) can be successfully modeled in terms of the evolutionary scheme of an ensemble of giant molecular clouds (GMCs) and shells, and such studies can usefully constrain the age(s) or star formation history of a starburst galaxy. In this paper, we present a preliminary study of using the template of an ensemble of evolving GMCs/shells we developed for M82. We apply the model to represent various stages of starburst evolution in a well-known sample of nearby luminous infrared galaxies. In this way, we attempt to interpret the relationship between the degree of molecular excitation and ratio of far-infrared (FIR) to 12CO (or simply CO) luminosity to possibly reflect different stages of the evolution of star-forming activity within their nuclear regions.
Weed control in dry bean with Pendimethalin plus reduced rates of Imazethapyr.

A total of six field trials were conducted over a three-year period (2008 to 2010) to evaluate various preplant incorporated (PPI) herbicides in white bean in Ontario, Canada. There was minimal visible injury or effect on seed moisture content of white bean with the herbicides evaluated. The control of AMARE, AMBEL, CHEAL, and ECHCG were as much as 76, 62, 45, and 58% with pendimethalin; 98, 78, 81, and 74% with imazethapyr at 15 g ai ha-1 ; 99, 90, 94, and 90% with imazethapyr at 30 g ai ha1 ; 99, 97, 90, and 91% with imazethapyr at 45 g ai ha-1 ; 100, 90, 99, and 95% with imazethapyr at 60 g ai ha-1 ; 99, 99, 99, and 96% with imazethapyr at 75 g ai ha-1 ; 99, 92, 83, and 84% with pendimethalin plus imazethapyr at 1080+15 g ai ha-1 ; 100, 100, 97, 97% with pendimethalin plus imazethapyr at 1080+30 g ai ha-1 ; 100, 98, 96, and 94% with pendimethalin plus imazethapyr at 1080+45 g ai ha-1 ; 100, 98, 99, and 98% with pendimethalin plus imazethapyr at 1080+60 g ai ha-1 ; 100, 99, 98, and 98% with pendimethalin plus imazethapyr at 1080+75 g ai ha-1 ; 100, 97, 99, and 99% with trifluralin plus imazethapyr at 600+45 g ai ha-1 ; 100, 100, 100, and 99% with EPTC plus imazethapyr at 3400+45 g ai ha-1 ; and 99, 99, 99, and 99% with s-metolachlor plus trifluralin plus imazethapyr at 525+300+37.5 g ai ha-1 , respectively. Above ground weed biomass reduction was similar to weed control. Weed interference reduced white bean yield 6-82% with pendimethalin, imazethapyr, pendimethalin plus imazethapyr (15 g ai ha-1 ), trifluralin plus imazethapyr, EPTC plus imazethapyr, and s-metolachlor plus trifluralin plus imazethapyr. In contrast, there was no yield loss in white bean due to weed interference with pendimethalin at 1080 g ai ha-1 plus imazethapyr at 30, 45, 60, or 75 g ai ha-1 . Therefore, pendimethalin at 1080 g ai ha-1 plus imazethapyr at 30, 45, 60, or 75 g ai ha-1 applied PPI has the potential for broad spectrum weed control in white bean in Ontario.
Structural Improvements in Consensus-Based Cooperative Control of DC Microgrids

This study is dedicated to establishing a comparative analysis of the performance ofdifferent local controllers on the cooperative control of DC microgrids. One of the elementary andchallenging issues in DC microgrids is the assurance of fairness in proportional current sharingwhile accomplishing voltage regulation in parallelly connected distributed energy sources. In thiswork, structural improvements are proposed to enhance the system stability and controlperformance. A finite-gain controller was employed in the outer voltage control loop with a simpleproportional (P) controller in the inner current control loop of a converter. Due to the finite-gaincontroller, droop-like power sharing was achieved without droop coefficient. In order to furtherenhance the power-sharing accuracy and DC voltage regulation, a different method was adopted inconsensus-based cooperative control to estimate the average current and average voltage difference.Moreover, small signal analysis was used to scrutinize the stability and control performance of thelocal controller, while different communication delays and current disturbances were applied toexamine the performance of the controller. Finally, a four-node-based DC microgrid setup wasdeveloped in MATLAB/Simulink environment, and simulation results of the proposed and existingtechniques were scrutinized. The simulations results demonstrated the effectiveness of the proposedcontroller.
Effects of Row Spacings, Fertilizers, and Harvest Dates on Table Beets1

Yield and size grades of table beets (Beta vulgaris L.) as affected by row spacings of 60, 45, 30, and 15 cm, fertilizer rates and harvest dates were determined in 4 field experiments. Total yields were significantly lower from 15 cm rows than from the conventional 60 cm row spacing. Highest yields of small roots, 25-51 mm diame-ter, were produced from narrow rows. Delaying harvest increased total and weighted yields. Fertilizer rates were varied in 3 experiments, and increasing the fertilizer rate increased total yields in 2 experiments. Concentration of N in leaves was decreased as row spacings were decreased in 2 experiments but P concentration in leaves was highest in 15 cm rows. Leaf concentration of N was highest at the highest fertilizer rate but K concentration was lowest. Concentrations of other elements in leaves were not consistently affected by row spacings or fertilizer rates.
Changing Epidemiology of Acute Viral Respiratory Infections in Hospitalized Children: The Post-Lockdown Effect

Several reports highlighted how public health measures aimed at limiting severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2) circulation have likely contributed to reducing the circulation of other respiratory viruses, particularly during the first year of the COVID-19 pandemic. We evaluated the epidemiology of acute respiratory infections in a large cohort of hospitalized children during the third year of the pandemic (2021–2022). We retrospectively analyzed data from the health records of children (<14 years) hospitalized for acute respiratory infections between 1 July 2021 and 31 March 2022. A total of 1763 respiratory panels were collected. Overall, 1269 (72%) panels hadpositive results for at least one pathogen. Most positive panels (53.8%) belonged to patients aged 1–12 months. The most detected pathogen was respiratory syncytial virus (RSV) (57.8% of positive panels). The RSV peak occurred in November 2021. Nine hundred and forty-five (74.5%) panels were positive for one pathogen while three hundred and twenty-four (25.5%) showed multiple infections. Patients with multiple infections were significantly older than those with a single infection. The 2021–2022 peak of RSV infection in Italy occurred earlier than in the previous pre-pandemic seasons. A high number of children have been hospitalized because of acute viral infections also due to less aggressive viruses.
Detecting outliers and/or leverage points: a robust two-stage procedure with bootstrap cut-off points

This paper presents a robust two-stage procedure for identification of outlying observations in regression analysis. The exploratory stage identifies leverage points and vertical outliers through a robust distance estimator based on Minimum Covariance Determinant (MCD). After deletion of these points, the confirmatory stage carries out an Ordinary Least Squares (OLS) analysis on the remaining subset of data and investigates the effect of adding back in the previously deleted observations. Cut-off points pertinent to different diagnostics are generated by bootstrapping and the cases are definitely labelled as good-leverage, bad-leverage, vertical outliers and typical cases. The procedure is applied to four examples.
Two sources of influence: a conditional trickle-down model of service performance in China

ABSTRACT We proposed and tested a conditional trickle-down model underpinned by social exchange theory and social information processing theory. Using a sample in China, we found that LLX and service-oriented HPWS were positively related to service leadership and competition climate, respectively. Additionally, we found that service leadership and competition climate enhanced the positive influences of each other on employee service performance. We then demonstrated the conditional trickle-down effects on employee service performance transmitted through the interaction between service leadership and collective competition climate. Theoretical and practical implications are discussed.