Miracle-dz/UniFAR-FTUs huggingface dataset:
APLICAÇÃO DAS FERRAMENTAS QFD E FMEA EM UMA EMPRESA FORNECEDORA DE TUBOS CRA

Um dos maiores desafios para uma organização é, além de entender perfeitamente as necessidades do cliente, ser capaz de traduzir corretamente essas necessidades, diferindo da maioria das empresas, que às vezes consideram suas próprias perspectivas como verdade absoluta. Além disso, ao projetar um produto ou serviço que atenda às expectativas do cliente, você precisa estar ciente dos requisitos básicos necessários, como a confiabilidade do produto que está sendo oferecido. Dentro deste contexto, o objetivo deste projeto é integrar o Quality Function Deployment (QFD) e as ferramentas de análise de efeitos e modo de falha (FMEA) para impulsionar os resultados de um fabricante e fornecedor de tubos de ligas resistentes à corrosão (CRA) e propor alternativas viáveis para resolver os problemas mais impactantes, com foco no cliente.
A framework for the modeling of order book dynamics based on event sizes

We propose a modeling framework for the dynamics of a reduced form order book in event time and based on event sizes. Our framework for the order book is influenced by \cite{ContLarrard12}, but compared to \cite{ContLarrard12} we allow the best bid ask spread to be larger than one tick. Based on the modeling assumption that the best bid as well as the best ask price can only move by at most one tick (up or down), when an event occurs, we show that the dynamics of this simplified order book is completely described by a non-linear transformation of two processes $(X,Y)$. A key challenge in the modeling is the empirical fact that the high frequency order flow is strongly autocorrelated, a fact we have to deal with in the modeling of $(X,Y)$. The core of our framework is a semi linear regression type model for $(X,Y)$, influenced by more classical ARMA and AR models, and one key degree of freedom is the potentially non-linear basis functions used in the regression. We use results from the theory of random iterative function systems to understand issues concerning stationarity and ergodicity in our models. We show how to rapidly calibrate the model by inverting block Toeplitz matrices in an efficient way. All components are worked through and explain in an application and the predictability of the model for order flows and price moves are analyzed in the context of a high frequency dataset.
Conductivity enhancement within garnet‐rich polymer composite electrolytes via the addition of succinonitrile

All-solid-state lithium-ion batteries (ASSLIBs) are promising alternatives to conventional organic electrolyte-based batteries due to their higher safety and higher energy densities. Despite advantages, ASSLIBs suffer from issues like high charge transfer resistances due to the brittleness of the inorganic solid electrolyte and chemical instabilities at the lithium/electrolyte interface. Within this work, we investigate composite electrolytes (CEs) based on garnet-type Li 6.4 La 3 Zr 1.4 Ta 0.6 O 12 (LLZTO), polyethylene oxide, and lithium bis(trifluoromethanesulfonyl)imide, prepared via a solvent-free cryo-milling approach in contrast to conventional solvent-mediated synthesis. Compositions ranging from polymer-rich to garnet-rich systems are investigated via X-ray diffraction, Raman spectroscopy, and Fourier transform infrared spectroscopy in order to determine the compatibility of the cryo-milling process toward membrane fabrication along with the possible chemical interactions between the composite membrane components. Electrochemical impedance spectroscopy is used to study the role of ceramic to polymer weight fraction on ionic conductivity. It is shown that the addition of succinonitrile (SCN) to the garnet-rich CEs can significantly improve the ionic conductivity compared to the SCN-free CEs.
Arterial link travel time estimation considering traffic signal delays using cellular handoff data

Link travel time is an important evaluation index of urban arterial traffic condition. It is traditionally estimated from loop detector data and GPS probe vehicle data. The former suffers from the coverage and maintenance issues. The latter has issues related to low penetration rate. Cellphone handoff data is one alternative that may address those deficiencies with its large coverage areas and continuous detection capabilities at low cost. Existing cellular probe vehicle based travel time estimation methods are primarily designed for freeway. Limited studies have been conducted for signalised arterials. Cellular handoff data detects the time lapse between two consecutive wireless handoff points. When vehicles with on-call cellphones traverse between two handoff points, their space mean speeds can be calculated by dividing the pre-calibrated distances by the time lapses. In this study, a new cellular handoff data based arterial travel time estimation model is proposed and compared with existing models. A hybrid traffic-and-wireless simulation network is built to simulate the handoff data generation and processing. Field data are collected at an arterial corridor in Chengdu, China to establish the baseline condition. The results from the proposed model show promising performance with detection errors of link travel times mostly within 10%.
Do Tip Percentages Affect Server Job Tenure, or Vice Versa?: Evidence From a Panel Dataset

Increasing compensation reduces turnover in other industries, but it is unclear if increasing tip percentages will reduce turnover among tipped service workers. This question was examined using a panel data set on the charge tips of restaurant servers over time from POS systems. The results indicate that tip percentages were generally consistent across servers’ running workday counts (in other words, across growing levels of server experience), but were slightly higher overall for those servers who ultimately stayed in the job for more workdays. These findings provide more compelling evidence of a potential tip percentage effect on server tenure than is provided by existing cross-sectional correlational data sets. However, the effect of servers’ average tip percentages on their tenure was relatively small—accounting for only 5% of the variance in server tenure, as compared to 14% accounted for by servers’ average dollar tips per day and 33% accounted for by servers’ average number of daily checks. Compensation is important, but when it comes to restaurant waitstaff turnover, other things may matter more.
Efficacy and Conflicts of Interest in Randomized Controlled Trials Evaluating Headspace and Calm Apps: Systematic Review

Background Although there are thousands of mental health apps, 2 apps, Headspace and Calm, claim a large percentage of the marketplace. These two mindfulness and meditation apps have reached tens of millions of active users. To guide consumers, clinicians, and researchers, we performed a systematic review of randomized controlled trials (RCTs) of Headspace and Calm. Objective Our study aimed to evaluate intervention efficacy, risk of bias, and conflicts of interest (COIs) in the evidence base for Headspace and Calm, the two most popular mental health apps at the time of our search. Methods To identify studies, we searched academic databases (Google Scholar, MEDLINE, and PsycINFO) and the websites of Headspace and Calm in May 2021 for RCTs of Headspace and Calm testing efficacy via original data collection, published in English in peer-reviewed journals. For each study, we coded (1) study characteristics (eg, participants, sample size, and outcome measures), (2) intervention characteristics (eg, free vs paid version of the app and intended frequency of app usage), (3) all study outcomes, (4) Cochrane risk of bias variables, and (5) COI variables (eg, presence or absence of a preregistration and the presence or absence of a COI statement involving the company). Results We identified 14 RCTs of Headspace and 1 RCT of Calm. Overall, 93% (13/14) of RCTs of Headspace and 100% (1/1) of RCTs of Calm recruited participants from a nonclinical population. Studies commonly measured mindfulness, well-being, stress, depressive symptoms, and anxiety symptoms. Headspace use improved depression in 75% of studies that evaluated it as an outcome. Findings were mixed for mindfulness, well-being, stress, and anxiety, but at least 40% of studies showed improvement for each of these outcomes. Studies were generally underpowered to detect “small” or “medium” effect sizes. Furthermore, 50% (7/14) of RCTs of Headspace and 0% (0/1) of RCTs of Calm reported a COI that involved Headspace or Calm (the companies). The most common COI was the app company providing premium app access for free for participants, and notably, 14% (2/14) of RCTs of Headspace reported Headspace employee involvement in study design, execution, and data analysis. Only 36% (5/14) of RCTs of Headspace were preregistered, and the 1 RCT of Calm was not preregistered. Conclusions The empirical research on Headspace appears promising, whereas there is an absence of randomized trials on Calm. Limitations of this study include an inability to compare Headspace and Calm owing to the dearth of RCTs studying Calm and the reliance on author reports to evaluate COIs. When determining whether or not mental health apps are of high quality, identification of high-quality apps and evaluation of their effectiveness and investigators’ COIs should be ensured.
Reasons for littering: Social constructions from lower income communities in South Africa

Littering has been defined as the careless and improper disposal of small amounts of waste that results in unwanted and unnatural elements remaining in the environment. People tend to blame external factors for their own littering. A person seldom refers to themselves as being the litterer but will rather place the blame on insufficient infrastructure, such as lack of bins, or on other persons. When referring to other people, they identify problematic behaviour and personal traits such as ignorance, naivety, need for convenience, laziness and inattentiveness as causes of littering. This study addressed the gap in the literature on the socially constructed perceptions people hold about reasons for littering in the South African context, as subjectively perceived reasons for littering may correspond with actual causes and could point towards options for tackling the littering problem. Five lower socio-economic areas in South Africa – particularly those that experience major infrastructural challenges – were included in the study. Qualitative semi-structured interviews were held with 322 residents from the respective areas. The data were thematically analysed and the results from the areas compared with each other. The cross-case analysis confirmed that littering is contingent on contextual effects, and unique reasons for littering in the South African context were mentioned. The research reported on in this study highlights that we have only thematically ‘identified’ or named the socially constructed perceptions about the reasons for littering by the participants. The importance of creating platforms and processes for dialogues to deepen our understanding of people’s socially constructed perceptions and subsequent behaviour, is of critical importance.
Measurement of Procalcitonin as an Indicator of Severity in Patients With Chronic Obstructive Pulmonary Disease Admitted With Respiratory Illness

Introduction Exacerbations of chronic obstructive pulmonary disease (COPD) are a frequent reason for hospital admission and a major cause of morbidity and mortality. A useful biomarker or indicator of disease severity at the time of presentation could help guide treatment and identify those with poor prognosis who need early aggressive intervention. We hypothesized that patients who present to the hospital with COPD exacerbations who are found to have elevated procalcitonin (PCT) levels will have worse outcomes such as longer admissions, increased intensive care unit (ICU) utilization, and more frequent readmissions than those with normal levels, regardless of presence or absence of infiltrate on initial chest X-ray (CXR). Methods We conducted a retrospective chart review of patients admitted to our facility with a respiratory complaint and a diagnosis of COPD to examine the relation between PCT and disease severity. A total of 156 unique encounters were reviewed, with 87 included in the final data set. Data was collected on baseline medical conditions as well as clinical status at the time of presentation. Primary endpoints included the need for overnight ICU admission, hospital length of stay greater than seven days, and repeat visit within 30 days of discharge. Secondary endpoints included the need for intubation at the time of admission, in-hospital mortality or discharge to hospice, and ICU length of stay. Results Patients with elevated PCT levels (>0.25ng/mL) had a significantly increased likelihood of a need for ICU admission (odds ratio 3.18) and hospital length of stay greater than seven days (odds ratio 3.38). There was no statistically significant difference in the Emergency Department readmission rate or any of the secondary outcomes. Conclusions Our data suggests that PCT may be a useful early biomarker for patients with COPD presenting with an acute respiratory illness.
NUMERICAL MODELING OF ELECTROMAGNETIC FIELD EXPOSURE FROM 5G MOBILE COMMUNICATIONS AT 10 GHZ

Study on the interactions between electromagnetic fields and biological tissue at high frequency band is an important aspect in the area of wireless communications. The use of millimeter wave frequency band for fifth Generation (5G) devises involves new challenges in terms of Radio Frequency Electromagnetic Field Exposure (RF-EMF) limits and compliance assessment since the basic restrictions for limiting human exposure change from the Specific Absorption Rate (SAR) to the power density. The Electromagnetic Field Exposure to the human head has been studied based on power density by means of numerical simulation for the frequency band of 10 GHz. Study on radio frequency energy absorption has been done based on radiation from a printed monopole antenna at frequency of 10 GHz, transmitting directly towards the human head tissue model. Human head model is constructed from magnetic resonance images with frequency dependent tissue electrical properties. It is shown that at millimeter wave frequency, i.e., 10 GHz, with realistic source (20 mW) and head-source separation distance (10 mm), the amount of power density is in the range of regulatory limits and requirements on EMF exposure. The obtained results might provide valuable information for the design of 5G handheld devices and EMF compliance assessment.
The Influence of Sintering Pressure on the Preparation, Friction Properties, and Magnetic Properties of Ti2AlC-TiC and Ti3AlC2-TiC Composites Under High-Pressure and High-Temperature

Due to their high melting point, low density, and affordable price, TiC ceramics have emerged as one of the most promising ultrahigh temperature structural materials. However, its development and usage are severely constrained by its weak mechanical characteristics. The Ti2AlC-TiC and Ti3AlC2-TiC composites were synthesized by using the laminated metal-ceramic Ti2AlC/Ti3AlC2 as the binder, combined with high-temperature and high-pressure sintering technology (GPa order of magnitude confinement system). The thermal analysis shows that the exothermic heat of Ti/1.2Al/2TiC is less than that of 3Ti/1.2Al/2C, 2Ti/1.2Al/C, and 3Ti/1.5Al/C. The ratio of Ti/1.2Al/2TiC can suppress the thermal explosion phenomenon during the sintering process and improve the safety of the high-pressure sintering process. XRD results showed that the main composition of the sintered products was Ti2AlC-TiC at 2∼3.5 GPa and Ti3AlC2-TiC at 4∼5 GPa. As the sintering pressure increased from 2 GPa to 5 GPa, the bonding phase changed from Ti2AlC to Ti3AlC2. The thickness of the synthetic Ti3AlC2 layer is near 0.1 µm under 5 GPa. The average friction coefficient of Ti2AlC-TiC composites sintered 2 GPa with POM is as low as 0.1767, while the average friction coefficient of Ti3AlC2-TiC composites with POM increased to 0.3468∼0.3797. The wear width of Ti2AlC-TiC is lower than that of Ti3AlC2-TiC composites sintered under 4–4.5 GPa. The wear width of Ti3AlC2-TiC composites decreases following the rise of sintering pressure and is reduced to 0.3504 mm under 5 GPa. Ti2AlC-TiC and Ti3AlC2-TiC composites with PP ball counterparts have friction coefficients of 0.375 to 0.45 and worse wear resistance than that of POM balls. Ti3AlC2-TiC composites synthesized at 5 GPa with a Cu ball had the smallest friction coefficient (0.4558) and the smallest wear scar width (0.6289 mm). The friction coefficients and wear widths of synthetics with Al pairs ranged from 0.48–0.697 and 0.851–1.087 mm, respectively, and varied irregularly with increasing sintering pressure. Ti2AlC-TiC composites synthesized at 2 GPa with agate and glass pairs have coefficients of friction of 0.5 and 0.61, respectively. Abrasion widths of Ti2AlC-TiC composites synthesized at 2 GPa with agate and glass pairs were 1.3 mm and 0.72 mm, respectively. The friction coefficient of synthetics with agate and glass pairs increases with increasing sintering pressure. The magnetization and magnetization intensity of the Ti3AlC2-TiC composites are stronger than those of Ti3AlC2. Ti2AlC-TiC and Ti3AlC2-TiC composites held promise to serve in the field of ceramic grinding processing applications.
Trench-gate-integrated superjunction lateral double-diffused MOSFET with low specific on-resistance

In this paper, a new low-voltage planar gate superjunction (SJ) lateral double-diffused MOSFET (LDMOSFET) is presented. The proposed trench-gate-integrated SJ-LDMOSFET is composed of a conventional planar gate structure and a trench gate structure extending into a drift region through a channel region, which helps reduce both drift resistance and channel resistance. By device simulation, we confirmed that current crowding near the top surface was alleviated by the spread of electron current into the drift region through the accumulation layer of the trench gate. As a result, the specific on-resistance (RON · A) of the trench-gate-integrated SJ-LDMOSFET can be reduced by increasing SJ thickness (TSJ), and the trench-gate-integrated SJ-LDMOSFET with a TSJ of 4 µm achieved an RON · A of 0.47 mΩ·cm2 at a breakdown voltage of 97 V. This is about 14% lower than the one-dimensional Si limit.
C M B polarization constraints on radiative feedback

W e com pute the im printslefton the CM B by two cosm icreionization m odels consistent with current observations but characterized by alternative radiative feedback prescriptions( suppression and (cid:12)ltering ) resulting in a di(cid:11)erent suppression ofstar form ation in low-m
Altered Functional Connectivity in Pain-Related Brain Regions and Its Correlation with Pain Duration in Bone Metastasis with Cancer Pain

Bone metastatic pain is thought to be a severe type of cancer pain that has refractory characteristics and a long duration. This study is aimed at exploring the brain functional connectivity (FC) pattern in lung cancer patients with bone metastatic pain. In this study, 27 lung cancer patients with bone metastatic pain (CP+), 27 matched lung cancer patients without pain-related complaints (CP−), and 27 matched healthy controls (HC) were recruited. All participants underwent fMRI data acquisition and clinical assessments. One-way ANOVA or a Mann–Whitney U test was applied to compare clinical data according to data distribution. Seventeen hypothesis-driven pain-related brain regions were selected as regions of interest (ROIs). FC values among pain-related brain regions across the three groups were computed by using ROI–ROI functional connectivity analysis. ANCOVA with a post hoc test was applied to compare FC differences among the three groups. p < 0.05 indicated statistical significance. Correlation analysis was conducted to explore the potential relationship between the FC values and clinical characteristics. Except for years of education, no significant differences were revealed among the three groups in age, gender, or neuropsychological assessment. In the CP+ group, FC alterations were mainly concentrated in the dorsal lateral prefrontal cortex (DLPFC), anterior cingulate cortex (ACC), secondary somatosensory cortex (SII), and amygdala compared to the CP− group. Among these brain regions with statistical differences, FC between the right DLPFC and the right ACC showed a positive correlation with the duration of cancer pain in the CP+ group. In addition, in the CP− group, altered FC was found in the bilateral SII, ACC, and thalamus compared to the HC group. Altered FC in pain-related brain regions may be a brain pattern of bone metastatic pain and may be associated with the long duration of cancer pain.
Role of Serotoninergic Antidepressants in the Development of Autism Spectrum Disorders: A Systematic Review

Autism spectrum disorders (ASDs) are one of the most common, highly heritable neurodevelopmental diseases affecting 1-2% of children under the age of 3. Although studies have implicated genetic predispositions, environmental risk factors, and maternal depression as the pathophysiology of ASD, it remains unclear. The association between antidepressant (AD) usage during pregnancy and the likelihood of ASD in children is still debatable. We carried out a systematic review to determine the relation of ASD with AD in offspring exposed to ADs in utero. We used the following terms of medical subject heading (MeSH) and keywords separately and in combination: “antidepressants,” “maternal/pregnancy depression,” “autism spectrum disorders/autism,” and “selective serotonin reuptake inhibitors (SSRI). ” Our data search was conducted on PubMed, PubMed Central, Google Scholar, and Cochrane, which resulted in 28,141 articles. We identified and eliminated duplicates and then screened 9,965 articles by title and abstract. We then applied eligibility criteria over 143 relevant articles; a quality assessment was performed, and finally we included 18 selected studies. Mothers who had taken ADs during pregnancy for at least two medication prescription cycles and children detected to have ASD from two years to 18 years of age were included. We excluded articles in languages other than English, grey literature, case reports, letters to the editor, books, documents, animal studies, and studies published before 2017. Out of 18 studies, 17 evaluated ASD as the primary outcome, and for one study, the outcome was child behavioral as well as neurodevelopmental changes. Other additional outcomes studied were attention deficit hyperactivity disorder (ADHD), preterm birth, spontaneous abortion, small for gestational age, maternal mental illness, and persistent pulmonary hypertension. After adjusting for confounding factors, in six studies, the higher correlations between ASD and ADs were eliminated. Also, paternal AD use, maternal pre-conceptional AD drug use, and maternal depression itself are additional factors that raise the incidence of ASD.
From “Social Integration” to “Class Integration”: Applying Durkheim’s Sociological Thought to Hidden Dropout of Junior Middle School Students

At present, China’s academic circles have made some research results on the hidden dropout of junior middle school students, but they have not formed a relatively mature theory. Based on Durkheim’s “social integration” theory, this paper studies hidden dropout from the perspective of class sociology and puts forward the influencing mechanism of “class integration” of junior middle school students’ hidden dropout behavior. By class observation, this paper obtains the hidden dropout theoretical model of the interaction between individuals and class organization.