Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparing the Effect of Face-to-Face with Phone Counselling Based on Cognitive-Behavioral Therapy on Vasomotor Symptoms in Postmenopausal Women: A Randomized Controlled Trial

Background: Hot flash and night sweat (HF/NS) are the most common complication in menopause that affects the quality of life of women. The present study was conducted with the aim of comparing the effectiveness of the phone with face-to-face counseling based on cognitive-behavioral therapy for vasomotor symptoms of postmenopausal women.Methods: The present study was a randomized clinical trial. In this study, 40 eligible postmenopausal women were randomly assigned to one of face-to-face or phone counseling methods using the block randomization. Six counseling sessions were weekly held for each person and women requested to record their hot flashes and night sweat in a diary. Data were analyzed using chi-square, ANCOVA, and independent t-test.Results: Thirty- six women completed the study. Women in two groups showed a significant improvement in the frequency, severity, and duration of hot flashes and the frequency and severity of night sweats after the intervention (P <0.001). Weekly means of hot flashes and night sweats, decreased after the intervention in both groups (face-to-face group: HF frequency from 31.92±7.98 to 18.83±7.35, HF severity from 2.24±0.28 to 1.21±0.23, HF duration from 4.22±1.17 min to 2.79±0.91min, NS frequency from 2.34±0.31 to 1.21±0.24 and NS severity from 1.70±0.34 to 1.03±0.29 and also in phone counseling group: HF frequency from 33.32±7.77 to 19.53±7.7, HF severity from 2.23±0.24 to 1.20±0.18, HF duration from 4.29±1.23 min to 2.68±0.95min, NS frequency from 2.33±0.31 to 1.14±0.16 and NS severity from 1.59±0.34 to 1.01±0.30). There was no significant difference between groups after the intervention in terms of HF frequency, severity, and duration, as well as NS frequency, and severity (p>0.05). Conclusion: Based on the results of this study, using of face-to-face and phone counseling methods based on cognitive-behavioral therapy had a similar effect on the reducing of frequency, severity and duration of hot flashes as well as the frequency and severity of night sweats. Using phone counseling in women who have difficulty to attend the clinic is recommended.Trial registration number: IRCT20180918041065N1 Website: https://www.irct. ir/login
Aeroacoustic Analysis of a Low-Subsonic Axial Fan

A mesh convergence study of direct aero-acoustic simulations of a typical automotive engine cooling rotor is performed. The simulations are performed using the Lattice Boltzmann Method (LBM) that has been extensively used in the recent years for low speed fan applications. The influence of the mesh refinement on the global performances, the pressure distribution over the blade and in the wake and tip gap zones is investigated using the large experimental database available. The direct acoustic predictions for the different numerical setups is compared with acoustic measurements and a Ffowcs Williams and Hawking’s analogy is applied to identify the noise source contributions from the rotor parts. With the three setups investigated the convergence is achieved on the global performances and the sound power spectra. Still some discrepancies between the setups appear in the unsteady pressure loading of the blades and the wake flow. The blades are seen as the main noise contributors particularly the cusp region near the hub and the tip region with the tip flow recirculation.Copyright © 2015 by ASME
Keying of plate anchors in NC clay under inclined loading

Plate anchors are commonly used in the offshore industry to anchor floating facilities. They are installed vertically using a follower and subsequently rotated, through a process called keying, to exhibit their maximum area normal to the loading direction. This paper describes a series of centrifuge tests performed in order to investigate the influence of the keying on the overall performance of the anchor. Tests were conducted against a Perspex window in plane strain chambers containing normally consolidated clay. Particle Image Velocimetry (PIV) provided insights into the different failure mechanisms generated during keying, and information about the load inclination and load eccentricity minimising the loss of embedment and hence maximising the anchor performance. The loss of embedment after keying for different load inclinations and different load eccentricities was also quantified.
Addressing publication bias in meta-analysis: Empirical findings from community-augmented meta-analyses of infant language development

Meta-analyses are an indispensable research synthesis tool for characterizing bodies of literature and advancing theories. One important open question concerns the inclusion of unpublished data into meta-analyses. Finding such studies can be effortful, but their exclusion potentially leads to consequential biases like overestimation of a literature’s mean effect. We address two key questions using MetaLab, a collection of community-augmented meta-analyses focused on developmental psychology. First, we assess to what extent these datasets include grey literature, and by what search strategies they are unearthed. An average of 11% of datapoints are from unpublished literature, and that standard search strategies like database searches, complemented with individualized approaches like including authors’ own data, contribute the majority of this literature. Second, we analyze the effect of including versus excluding unpublished literature on estimates of effect size and publication bias, and find this decision does not affect outcomes. We discuss lessons learned and implications.
Avaliação de programas públicos : desafios conceituais e metodológicos

This paper emphasizes the importance of evaluating public programs, considering the acuteness of the fiscal crisis, the lack of public sector funding, and the indispensable government intervention in order to meet the needs of the underprivileged. Systematic, continuous and effective evaluation is a powerful managerial tool, allowing policymakers and program managers to increase the efficiency and effectiveness of social program funding. The paper discusses the conceptual maze that still prevails in this field, revealed by the multiple concepts that can be applied, by the different types of evaluation and by the variety of criteria presented by specialists. Criteria application, on the other hand, requires specific operational forms, known as social indicators, whose definition is not unanimous either. Evaluation is a set of techniques which use distinctive concepts often to refer to the same procedures. Therefore, until there is some progress in theorizing the practice and finding the necessary consensus for the construction of conceptual paradigms every evaluation effort will require the previous establishment of a reference framework for analysis and supervised personnel training. Experienced professionals may adopt this procedure for consultancies, but not all technical personnel can undertake this job without making evaluation even more difficult. But neither difficulties nor risks should be an overwhelming obstacle for trying to apply such methodology systematically. After all, this is a field — such as many others in administration — in which learning with practice contributes for overcoming conceptual and operational hindrances.
DEEP LEARNING FOR LOW-DOSE CT NOISE REMOVAL USING DILATED CONVOLUTION AND PERCEPTUAL LOSS

Low-dose computed tomography has been recommended to reduce the radiation risks of CT scans for patients. However, the reconstructed CT image will be considerably degraded because of photon starvation. Both traditional noise removal techniques and neural networks have been used to enhance the quality of low-dose CT images. In this study, a deep neural network is proposed to mitigate this problem. The network employs dilated convolution, batch normalization, and residual learning. Moreover, a nontrainable edge detection layer is proposed helping to produce sharper edges in the output image without introducing additional complexity. This network is optimized by a combination of mean-square error and perceptual loss to preserve textural details in the CT image that are critical for diagnosis. This objective function solves the over-smoothing problem and grid-like artifacts caused by per-pixel loss and perceptual loss, respectively. The experiments demonstrate the effects of each modification to the network and confirm that the proposed network achieves better performance relative to the state of the art methods.
SAFETY EFFECTS OF GEOMETRIC IMPROVEMENTS ON HORIZONTAL CURVES

The purpose was to (a) determine the horizontal curve features that affect accident experience on two-lane rural roads, (b) determine which types of geometric improvements on curves will affect accident experience, and (c) develop accident reduction factors based on these findings. Very little of this information has been available to highway safety engineers and designers. The results were based on an analysis of 10,900 horizontal curves in Washington State with corresponding accident, geometric, traffic, and roadway data variables. Statistical modeling revealed significantly higher curve accidents for sharper curves, narrower curve width, lack of spiral transitions, and increased superelevation deficiency. All else being equal, higher traffic volumes and longer curves were also associated with significantly higher curve accidents. Ranges of accident reductions for horizontal curves improvements were determined for flattening curves, widening lanes, widening paved shoulders, adding unpaved shoulders, adding a spiral transition, and improving superelevation. From the study findings, a variety of improvements were recommended for horizontal curves with moderate and sharp curvature, and upgrading specific roadside improvements. Expected costs should be compared with estimated accident reductions to determine whether geometric improvements are warranted.
The performance of labyrinth weirs

The purpose of the labyrinth weir is to increase the discharge per unit length of structure normally obtained from a conventional weir when operating under identical head conditions. This is achieved by compressing a large length of crest in concertina form, into the space available on site. The investigation carried out as described in this thesis aimed to provide comprehensive performance data covering all aspects of labyrinth weir behaviour. This has been achieved by a series of experimental model tests. The initial experimental work was confined to basic labyrinth weir configurations and the significance of the parameters of fundamental importance has been determined. This allowed the definition of the most useful ranges of weir design and subsequent experimental tests were confined to within these ranges. Following the initial experimental work tests were conducted to determine the significance of all the parameters of secondary importance including various refinements to the weir designs such as sloping channel inverts and alternative crest sections etc. A comprehensive set of experimental performance data covering all aspects of labyrinth weir design and behaviour are thus contained in the thesis. A mathematical model representing the behaviour of the weirs has been constructed and translated into a computer programme. Close correlation has been achieved between the theoretical and experimental results and the programme will accurately predict the performance of any labyrinth weir subject to some minor restrictions. The computer programme is included in the thesis so that it will be available to anyone wishing to use it. A design method using two design charts has been developed. This enables the design and performance prediction of any weir designed in accordance with recommendations contained in the thesis. The design charts are included in the text together with a worked example illustrating their use.
Crafting and Executing Strategy: Text and Readings

Part I: Concepts and Techniques for Crafting and Executing Strategy Section A: Introduction and Overview Chapter 1: What Is Strategy and Why Is It Important? Chapter 2: Leading the Process of Crafting and Executing Strategy Section B: Core Concepts and Analytical Tools Chapter 3: Evaluating a Company's External Environment Chapter 4: Evaluating a Company's Resources and Competitive Position Section C: Crafting a Strategy Chapter 5: Five Generic Competitive Strategies--Which One to Employ? Chapter 6: Supplementing the Chosen Competitive Strategy: Other Important Strategy Choices Chapter 7: Strategies for Competing in Foreign Markets Chapter 8: Diversification: Strategies for Managing a Group of Businesses Chapter 9: Ethical Business Strategies, Social Responsibility, and Environmental Sustainability Section D: Executing the Strategy Chapter 10: Building an Organization Capable of Good Strategy Execution Chapter 11: Managing Internal Operations: Actions That Promote Good Strategy Execution Chapter 12: Corporate Culture and Leadership: Keys to Good Strategy Execution Readings 1. Can You Say What Your Strategy Is? 2. Enabling Bold Visions 3. Location, Location: The Geography of Industry Clusters 4. Identifying Valuable Resources 5. The Battle of the Value Chains: New Specialized versus Old Hybrids 6. Playing Hardball: Why Strategy Still Matters 7. Hitting Back: Strategic Responses to Low-Cost Rivals 8. Limited Potential Niche or Prospective Market Foothold? Five Tests 9. Value Innovation: A Leap into the Blue Ocean 10. Racing to Be 2nd: Conquering the Industries of the Future 11. Globalization Is an Option, Not an Imperative. Or, Why the World Is Not Flat 12. The Challenge for Multinational Corporations in China: Think Local, Act Global 13. How to Win in Emerging Markets 14. Why Is Synergy So Difficult in Mergers of Related Businesses? 15. Corporate Social Responsibility: Why Good People Behave Badly in Organizations 16. Competing Responsibly 17. The Secrets to Successful Strategy Execution 18. Some Pros and Cons of Six Sigma: An Academic Perspective 19. Linking Goals to Monetary Incentives 20. The Seven Habits of Spectacularly Unsuccessful Executives
Metabolic bone disease of prematurity – a report of five cases

Metabolic bone disease of prematurity (MBDP) is a multifactorial condition characterized by a reduction in bone mineral density, involving chiefly nutritional but also biomechanical and hormonal factors. This is a relatively common complication among preterm infants, especially in those born before completing 28 weeks of gestation or those with extremely low birth weight (ELBW; < 1,000 g). These infants are prematurely deprived of calcium and phosphorus transplacental transfer, which is maximal during the third trimester of pregnancy and therefore present diminished mineral stores that may be further depleted by increased mineral requirements in the neonatal period.There are no standard approaches for the investigation and monitoring of MBDP and many cases remain undiagnosed until severe demineralization occurs. This entity is often clinically silent, being detected in laboratory studies or incidentally on radiographies performed for other purposes.We report five cases of premature infants diagnosed with MBDP in our neonatal intensive care unit (NICU) and discuss early prevention and detection of this disease. The primary prevention and treatment approach is based on early and adequate nutritional intervention by providing sufficient calcium and phosphorus intakes and vitamin D supplementation. Motor physiotherapy is also recommended. Despite these preventive strategies, some infants may still develop MBDP and require further supplementation. Considering the potential complications of MBDP, screening should target infants at high risk, including those with very low birth weight (VLBW, < 1,500 g), namely those born before 28 weeks of gestation, on total parenteral nutrition (TPN) for longer than 4 weeks, unable to reach full fortified feeds or exposed to drugs with deleterious effects on bone health.
Model selection properties of forward selection and sequential cross‐validation for high‐dimensional regression

Forward selection (FS) is a popular variable selection method for linear regression. But theoretical understanding of FS with a diverging number of covariates is still limited. We derive sufficient conditions for FS to attain model selection consistency. Our conditions are similar to those for orthogonal matching pursuit, but are obtained using a different argument. When the true model size is unknown, we derive sufficient conditions for model selection consistency of FS with a data‐driven stopping rule, based on a sequential variant of cross‐validation. As a byproduct of our proofs, we also have a sharp (sufficient and almost necessary) condition for model selection consistency of “wrapper” forward search for linear regression. We illustrate intuition and demonstrate performance of our methods using simulation studies and real datasets.
THEORIES AND ANTECEDENTS OF KNOWLEDGE SHARING BEHAVIOUR
IN VIRTUAL COMMUNITY: A SYSTEMATIC REVIEW

Virtual Community (VC) is regarded as the best platform for professionals in various fields to share their expertise and knowledge. Since the escalation of web 2.0 and the internet within the last decade and the booming interest in big data and expansion of industry 4.0, VC is deemed as an ideal proxy for practitioners to share and earned instant knowledge that can be implemented within business activities and day to day application. Despite this emerging interest, there has been no comprehensive study on the overall antecedents of KS in VC. Applying for a systematic review, a total of 68 relevant articles that discusses knowledge sharing (KS) via VC are evaluated. Several central themes of theories applied in this field within the literature are discussed on its importance and relevance. Important antecedents are also reviewed on its practicality and implementation in understanding the role of KS in VC. The implication of this review would benefit stakeholders in maintaining the sustainability of VC as the platform for a knowledge-based society.
TRAFFIC SAFETY PROBLEMS IN URBAN AREAS

The majority of the traffic safety problems in urban areas emanate from the fact that there are many different road users, and a large number of road junctions and pedestrian crossings in a relatively small spatial area. This solution inevitably contributes to a traffic system which is inherently complex and dynamic, and where the risk for road user conflict is high. This situation places great demands on the perceptual and cognitive decision-making skill of road users. Statistics indicate that the higher the number of adjoining roads, the greater the accident risk becomes.The provison of traffic lights or stop signs and suitable measures which separate turning traffic and different types of road users have been effective in reducing the accident risk for road users, most probably due to the reduction in situational complexity. Simplification of the driving task, by reducing environmental complexity through suitable traffic engineering design is costly bur usually leads to an improvement in safety. There appears to be a number of important factors, which predispose traffic accidents. A look at the types of accidents that commonly occur in urban areas reveals common failures related to a lack of anticipation or yielding. The vast number of countermeasures that haven been aimed directly at improving the driving abilities and enhancing the situational awareness of drivers (e.g. traffic safey campaigns and driver education programs) have shown little impact unless backed by large-scale policing and enforcement campaigns. The introduction of Intelligent Transport Systems (ITS) has brought renewed hope to traffic safety researchers. ITS has the potential to influence all three of the most important safety dimensions at the traffic sustem level (i.e. exposure, accident risk, and the consequences or severity of an accident) for the main traffic system components (i.e. the road user, the vehicle, and the roadway). There are also newer ITS applications such as intelligent junction systems and systems that aim at providing added protection to unprotected road users through the use of intelligent pedestrian crossings. The ITS applications that have been identified as having the greatest safety potential in relation to urban areas are are Intelligent Speed Adaption (ISA) and urban traffic management control systems.
Application of powell's optimisation method for the optimal number of wind turbines in a wind farm

The goal of every wind farm designer is the production of the maximum possible power and minimising the installation cost. The cost can be significantly reduced using the minimum required number of wind turbines for specific power production, occupying at the same time the least possible acreage of land. In this work, Powell's optimisation method has been used for the estimation of the optimal number of wind turbines and the total produced power in a wind farm. The method's results are compared with those of earlier studies that have followed other approaches, presenting its effectiveness. The proposed method can be useful in the studies of wind farm designers as a supportive tool for the estimation of the optimal number of wind turbines in a wind farm.
Modeling of Gasifiers: Overview of Current Developments

Recent developments in technology demonstrate that real progress in the field of mechanical/aerospace or chemical engineering can be achieved using numerical1) modeling. Basically, experiments are much more expensive than computations. Especially, taking into account possible risks or disasters during tests, simulations become more attractive. However, it should be emphasized that any model is useless unless it reproduces the values measured or their basic behavior during real processes. The basic advantages of modeling are as follows [1]:
Mätning av grotflis

Syftet med denna studie har varit att jamfora olika matmetoder for grotflis som bygger pa volym, vikt och olika satt att uppskatta fukthalten. Den metod som antas som facit bygger pa 10 prover per container vilket innebar 30 prover per leverans. Facit har sedan jamforts mot 6 olika matmetoder. Studien omfattar 44 leveranser grotflis, i huvudsak fran barrtrad, under vinter- och sommarforhallanden. Transporten till varmeverket har skett i ekipage om tre fliscontainrar. Denna redovisning ar en forkortad version av projektets slutrapport, Rapport nr 21 vid institutionen for skogens produkter, SLU, Uppsala. Medelfukthalten for grotflisen i hela studien uppmattes till 35,2 % av LNU/SLU och 34,9 % av VMF Syd vilket ar en skillnad pa 0,3 %-enheter. Beraknas kvotspridningen for fukthaltsmatningarna blir den ca 10 % for VMF-matning och ca 32 % for en finsk metod for skattning av fukthalt jamfort med LNU/SLU. Det effektiva varmevardet varierar mellan 2,86 till 3,22 MWh/ton och mellan 0,97 och 1,01 Mwh per m3s. Nar det galler de olika matmetoderna visade det sig att matmetod M6, energivarde direkt fran VMFs matsedel, var den basta med en kvotspridning pa 6,4 % i jamforelse med antaget facitvarde beraknat enligt LNU/SLU. Anledningen till detta ar att denna matning baseras pa matning av fukthalten och ett beraknat effektivt varmevarde for varje enskild leverans medan de andra matmetoderna bygger pa ett beraknat ”erfarenhetstal” for energinnehall per ton respektive per m3s for leveranserna i studien. Om matningen baseras pa erfarenhetstal for fukthaltsmatning visar resultaten att volymmatning ger en mindre kvotspridning, runt 10 %, jamfort med viktbaserad matning dar kvotspridningen hamnar pa ca 17 % jamfort med facit. Fukthaltsmatning enligt en finsk metod ger en kvotspridning pa ca 15 %. Volymminskningen under transport for alla leveranser i studien uppmattes i medeltal till strax over 2 % och resultaten visar ocksa att den storsta delen av volymminskningen, ca 70 %, sker redan under de forsta kilometrarna.