Miracle-dz/UniFAR-FTUs huggingface dataset:
Priming Norms to Combat Affective Polarization

The American public has affectively polarized such that partisans increasingly dislike the “other side,” and this may have deleterious consequences for a representative democracy. Yet, efforts to reduce partisan hostility arrive at mixed results. We propose a new approach that involves strategically priming civic norms with language tailored to a target audience. We argue that emphasizing group-based civic norms that invoke an “obligation to others” can reduce out-party animus. We test this approach on an important subgroup: U.S. military service members. Like the broader American public, service members have unfavorable feelings toward the opposing party, and these feelings appear to have become more negative in recent years. We use a survey experiment to demonstrate that priming an obligation to others civic norm attenuates affective polarization. Our study advances public opinion research on an understudied subgroup of the population, but more importantly, the theoretical argument has implications for addressing polarization and partisan discord among the mass public and other subgroups.
Application of Multi-Process Cavitation Model for Cavitating Flow in Cold Water and in Liquid Nitrogen Around a Hydrofoil

As one of the improvements of the conventional cavitation models, a new cavitation model named “Multi-Process Cavitation Model”, which takes various elementary processes in cavitation such as bubble expansion/shrinkage with bubble-bubble interaction, evaporation/condensation, inception/collapse, coalescence and break-up into account, has been recently constructed. In this paper, we validated this cavitation model with a CFD solver around a hydrofoil of NACA0015 in cold water, together with the validation around a hydrofoil of NACA16-012 in liquid nitrogen as one of the cryogenic fluids. As a result, in the case of cold water, the prediction accuracy of the lift coefficient was improved compared with some typical conventional models. It was confirmed that one of the reasons why the present model improves the prediction accuracy of the lift coefficient is we take apparent “inception delay” into account based on the typical size distribution of pre-existing bubble nuclei. On the other hand, in the case of liquid nitrogen, the temperature decrease due to thermodynamic effect was predicted at least qualitatively, but its quantitative accuracy was not ensured. Related to the fair prediction in the case of liquid nitrogen, one of the problems in the application of the present cavitation model would be that the typical size distribution of bubble nuclei in inception has not been understood experimentally and theoretically in the case of cryogenic fluids, and more appropriate modeling of the inception in cryogenic fluids is one of the important near future works.Copyright © 2015 by JSME
Influence of Infant and Young Child Feeding Practices on Stunting in Children aged 6 – 23 months in Zambia

Background: Infant and child nutrition in Zambia remains a pressing public health problem. The Zambia Demographic and Health Survey (ZDHS) indicates that 35% of children under-five and 36 % among those aged 6-23 months are stunted. This study set out to assess the influence of Infant and Child Feeding (IYCF) practices on child stunting (6-23 months) in Zambia. Methods: The 2008 ZDHS children’s data were analysed to measure stunting among infants aged 6-23 months. We fitted a bivariate logistic regression to measure association between feeding practices and stunting in children. Pearson’s Chisquare test of proportions and adjusted odd ratios (AOR) with confidence intervals at 95% are reported. Results: Findings indicate that 36% of children 6-23 months old were stunted. IYCF practices indicators remain relatively poor in Zambia with only 13% of children age 6-23 months having received minimum acceptable diet, 23% received minimum dietary diversity and 42% received minimum meal frequency. Breastfeeding and receipt of a minimum dietary diversity reduced the odds of stunting among children age 6-23 months by 38% and 33% respectively. A child’s perceived low birth size, being male, maternal anaemia status and mother’s use of the internet were significant predictors of stunting. Conclusion: The study shows that IYCF practices have an influence on stunting in Zambia and that socio-economic and demographic factors are likewise associated with stunting although the main determinants are amendable to intervention. Promoting the recommended WHO IYCF practices; breastfeeding, minimum meal frequency, receiving foods with diverse dietary content and accelerated investment in nutrition programs is recommended.
Is Organizational Politics Destructive for Favorable Employee Outcomes? An Appraisal Using the Lens Of Organizational Identification

The aim of this study was to investigate the relationship of employees’ perceptions of organizational politics with various employee outcomes (turnover intentions, employee engagement, job satisfaction and counterproductive work behaviors). Further, this study also hypothesized that employees’ organizational identification mediates the direct relationship between perceived organizational politics (POP) and employee outcomes. For the purpose of this study, data were collected from 678 faculty members working in the higher education institutes (HEIs) operating in Pakistan through self-administered questionnaire. Descriptive statistics, reliability analysis, correlation and regression analysis were applied for data analysis. Results revealed that POP was negatively related with job satisfaction, employee engagement and organizational identification whereas it was positively related with employee turnover intentions and counterproductive work behaviors. Further, organizational identification partially mediated all the four direct relationships between POP and employee outcomes. Results and implications of the study are discussed in the end.
Endovascular therapeutic hypothermia adjunctive to percutaneous coronary intervention in acute myocardial infarction: realistic simulation as a game changer.

BACKGROUND Endovascular therapeutic hypothermia (ETH) reduces the damage by ischemia/reperfusion cell syndrome in cardiac arrest and has been studied as an adjuvant therapy to percutaneous coronary intervention (PCI) in ST-elevation myocardial infarction (STEMI). New available advanced technology allows cooling much faster, but there is paucity of resources for training to avoid delays in door-to-balloon time (DTB) due to ETH and subsequently coronary reperfusion, which would derail the procedure. The aim of the study was to describe the process for the development of a simulation, training & educational protocol for the multidisciplinary team to perform optimized ETH as an adjunctive therapy for STEMI. METHODS AND RESULTS We developed an optimized simulation protocol using modern mannequins in different realistic scenarios for the treatment of patients undergoing ETH adjunctive to PCI for STEMIs starting from the emergency room, through the CathLab, and to the intensive care unit (ICU) using the Proteus® Endovascular System (Zoll Circulation Inc™, San Jose, CA, USA). The primary endpoint was door-to-balloon (DTB) time. We successfully trained 361 multidisciplinary professionals in realistic simulation using modern mannequins and sham situations in divisions of the hospital where real patients would be treated. The focus of simulation and training was logistical optimization and educational debriefing with strategies to reduce waste of time in patient's transportation from different departments, and avoiding excessive rewarming during transfer. Afterwards, the EHT protocol was successfully validated in a trial randomizing 50 patients for 18 minutes cooling before coronary recanalization at the target temperature of 32 ± 1.0 ∘C or PCI-only. A total of 35 patients underwent ETH (85.7% [30/35] in 90 ± 15 minutes), without delays in the mean door-to-balloon time for primary PCI when compared to 15 control group patients (92.1 minutes versus 87 minutes, respectively; p = 0.509). CONCLUSIONS Realistic simulation, intensive training and educational debriefing for the multidisciplinary team propitiated feasible endovascular therapeutic hypothermia as an adjuvant therapy to primary PCI in STEMI. CLINICALTRIALS gov: NCT02664194.
Temporal and clinical distribution of 112 emergency call system use of geriatric patients during novel coronavirus pandemic process

112 emergency call system is crucial for geriatric patients because the safe and secure transport of these patients can decrease mortality and morbidity. The present study was a temporal and clinical evaluation of cases with COVID-19 and non-COVID-19 older than 65 years of age during the pandemic. Of the 10948 cases accepted diagnosed with novel coronavirus between March 11 and May 1, 2020, 51.6% (n=5650) were female, 48.4% (n=5298) were male and the median age was 75.0 (70.0-81.0) years. The patients were compared concerning age, gender, month distribution, symptoms, comorbidity, computed tomography results, hospitalization, and discharge criteria. Concerning symptoms, the findings showed that 50.0% (n=5476) had high fever, 50.3% (n=5504) had cough, 59.5% (n=6509) had shortness of breath. Atypical complaints were found in 21.3% (n=2337) of the patients. Concerning comorbidity, 10.3% (n=1126) had hypertension, 5.8% (n=633) had diabetes mellitus, 7.2% (n=784) had chronic obstructive pulmonary disease and 0.9% (n=95) had cerebrovascular disease. The findings showed that 26.0% of the cases were hospitalized, while 74.0% (n=8098) were discharged. In 112 call center calls, being more careful and alert in the anamnesis of the geriatric patient group defined as important concerning the atypical course and potential risk factors and in the use of protective equipment is important for safe and secure transport of patients and since this will decrease mortality and morbidity.
A Life Cycle Model of Firm Value

Most business valuation formulas are designed for profitable firms experiencing constant growth, even though in practice firms tend to transition from loss-making, high-growth startups to mature, stable enterprises. This paper introduces a life-cycle valuation model that accommodates this evolution in growth and profitability by treating investment expenditures and revenues as a function of firm age. The model’s predictions regarding the time dynamics of common valuation multiples and financial ratios align well with observed financial data. The life cycle model can be estimated at the firm level from a few basic accounting variables and delivers estimates both of firm value and of the firm’s cost of capital. Firm value estimates show a log-correlation with observed stock market values of more than 90 percent.
Nivolumab-induced Myositis and Myocarditis with Positive Anti-titin Antibody and Anti-voltage-gated Potassium Channel Kv1.4 Antibody

Immune checkpoint inhibitors (ICIs) are complicated by immune-related adverse events (irAEs), such as myositis, myocarditis, and myasthenia gravis (MG). Anti-titin antibody and anti-voltage-gated potassium channel Kv1.4 antibody are anti-striated antibodies that are frequently detected in MG patients with myositis and/or myocarditis. However, the clinical relationship between positive anti-striated antibodies and irAEs of ICIs remains unknown. We herein report a case of nivolumab-induced myositis and myocarditis with positive anti-titin antibody and anti-voltage-gated potassium channel Kv1.4 antibody in a patient with non-small-cell lung cancer. We also review reported cases of positive anti-striated antibodies related to irAEs of ICIs.
Generalized proportional integral observer‐based event‐triggered control for frequency regulation in power systems with wind energy

The article addresses a generalized proportional–integral observer (GPIO)‐based event‐triggered control (ETC) for load frequency problems in power systems with wind energy integration. The concept of static event‐triggered mechanism (ETM) with a fixed threshold parameter may be unreasonable in some engineering applications where the transmission rates are time varying as in the case with power systems. Therefore, in this work, a dynamic ETM is designed to dynamically adjust the threshold parameters over time to reflect the time‐varying transmission rates. The unmatched uncertainties are suppressed via high‐gain design while the external disturbance (wind speed) is estimated and attenuated by the GPIO‐based ETC. The proposed design ensures frequency and tie‐line power stabilization and saves the computational and communication resources more effectively than recently reported works in the field. The hybrid closed‐loop system's global bounded stability is theoretically proved and verified by simulation in three‐area interconnected power systems.
Malaria Surveillance in Akwa Ibom, Nigeria: From ‘Control’ to ‘Pre-Elimination’ Status

Introduction: Malaria surveillance system is essential in guiding the scientific development of the varied approaches to tackling malaria. In Nigeria the surveillance system is weak and needs upgrading. We described the process of operation of the malaria surveillance system; determined if the surveillance system was meeting its set objectives; and assessed the key attributes of the malaria surveillance system in Akwa Ibom.
Deep Learning-Based Scheduling Scheme for IEEE 802.15.4e TSCH Network

IEEE 802.15. 4e time-slotted channel hopping (TSCH) is one of the most reliable resources of the Industrial Internet of Things (IIoT). TSCH operates on the slot-frame structure consisting of multiple channel-offsets and multiple slot-offsets. It is gaining acceptance due to its simple architecture and consume low power in industrial applications. The performance of TSCH is mainly dominated by the media access control (MAC) mechanism, which covers the refitment, enumeration, composition, and data transmission. However, in many cases, the data transmission schedules are not accurately prescribed. Therefore, most researchers are trying to define many pragmatic scenarios of scheduling. Their fundamental approach is to schedule TSCH network in a centralized way while framing scheduling based on network performance such as throughput and delay. In this work, a deep learning (DL)-based scheme has been proposed. TSCH network schedules for links to cell assignment of a slot-frame can be constructed as a maximum edge weighted bipartite matching approach. In this paper, we design bipartite edge weight to be composed of throughput and delay, and we use the Hungarian algorithm for proper cell assignment. With the Hungarian scheduling algorithm, we generate the training data and train a deep neural network (DNN) accordingly. In the simulation, we consider a simple TSCH network with 5 nodes where 12 links are formulated, and we consider 16 cells for the link assignment. The simulation results show that the proposed deep learning-based scheduling scheme can provide performance similar to the Hungarian algorithm-based scheduling scheme with above 90% accuracy and nearly 80% execution time reduction.
Administrators' Instructional Leadership Perspective of the Role of Instructional Coaches and Teacher Librarians

The purpose of this collective case study was to develop an understanding of why California K–12 public school administrators distribute instructional leadership responsibilities to either instructional coaches or teacher librarians and how the two roles compare within the context of the implementation of the California Common Core State Standards in English Language Arts (ELA/Literacy). Results demonstrated that administrators’ personal values influence their decisions to select and utilize instructional coaches or teacher librarians to provide instructional leadership. Instructional coaches are considered to be extensions of administrators as instructional leaders in ELA while teacher librarians are considered resources who may be called upon to provide occasional instructional support in ELA.
Effect of molecular subtypes on radiotherapy response in patients with breast cancer brain metastasis

Objective: This study aimed to investigate survival and the response to radiotherapy (RT) among patients with molecular subtypes of breast cancer brain metastases. Patients and Methods: We retrospectively analyzed the data of 139 breast cancer patients with brain metastases treated with whole-brain radiotherapy (WBRT) or focal brain treatment (FBT) between 2006 and 2019. Overall survival (OS) and brain metastasis progression-free survival (BMPFS) were calculated from the first RT until death or the last follow-up. Survival analyses were performed using the Kaplan–Meier method. Prognostic factors were evaluated using the Cox proportional hazard model. Results: Twenty three (16.5%), 77 (55.4%), 14 (10.1%), and 25 (18%) patients were diagnosed with triple-negative, HER-2 (+), luminal-like A, and luminal-like B breast cancer, respectively. Of 139 patients, 66 (47.8%) underwent FBT, and 73 (52.5%) underwent WBRT. While the most preferred fraction was 10*300 Gy in WBRT, doses of 15-25 Gy in 1-5 fractions were preferred in local RT. We observed that age, Karnofsky performance scale (KPS) score, initial RT technique, extracranial disease, number of brain metastases impacted OS and BMPFS.
Race level comparison and variability analysis of 100 m freestyle sprinters competing in the 2019 European championships

ABSTRACT This study aimed to (i) compare the race performance of the swimmers with better performances and poorer performances during all sections of a 100 m freestyle event and (ii) compare stroke kinematics variables between tiers and analyse their stability in each tier. The sample was composed of 88 swimmers that participated in the 100 m Freestyle event at the 2019 LEN European Junior Championships. Speed achieved the largest difference between tiers in section (S) S0-15 m of lap #1 (mean difference = −0.109 s, p < 0.001). During the clean swim and finish phases, the stroke length and stroke index presented significant differences (p < 0.05) between tiers in all sections of the race (stroke frequency did not). Significant variances were noted for both tiers in all variables in both laps. Swimmers in tier #1 were significantly faster than swimmers in tier #2 especially in sections related to the push-off against a solid (block or wall), and finish. A significant variance was noted by both tiers during the race with a moderate-to-high normative stability. Coaches are advised to analyse and understand the swimmers' within-lap stability, which can give deeper details about their swimmers’ behaviour during the 100 m freestyle race.
Outcomes with allogeneic hematopoietic stem cell transplantation in TP53-mutated acute myeloid leukemia: a systematic review and meta-analysis

Abstract We conducted a systematic review and meta-analysis to evaluate outcomes after allogeneic hematopoietic stem cell transplantation (HSCT) in TP53-mutated acute myeloid leukemia (AML). We performed a literature search on PubMed, Embase, Cochrane Library, and ClinicalTrials.gov. After screening 592 manuscripts, eight studies were included. Data were extracted following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Pooled analysis was done using the meta-package by Schwarzer et al. Proportions with 95% confidence intervals (CIs) were computed. We analyzed 297 patients. The median follow-up was 45 (0.9–407.3) months. The pooled 2-year overall survival was 29.7% (95% CI 0.17–0.43, n = 82/248). The pooled relapse rate was 61.4% (95% CI 0.41–0.79, n = 139/247) at a median follow-up time of 2 (0.26–3) years. Three-year progression-free survival and non-relapse mortality were reported by one study as 7.5% and 32.5%, respectively. Outcomes of HSCT for TP53-mutated AML are poor; however, HSCT confers a survival advantage as compared to non-transplant palliative therapies.
Effect of oxygen impurities on the electronic and mechanical properties of penta-graphene sheet

Abstract The electronic and mechanical properties of a penta-graphene monolayer (PGM) in attendance and nonattendance of oxygen impurities were investigated using the SIESTA computational code, based on density functional theory calculations. The results of the first-principles (ab-initio) calculations show that PGM in the nonattendance of oxygen atoms is a semiconductor with indirect band gap. By adding the oxygen, the bandgap size of PGM changes. Analyzing the results indicates that oxygen absorption increases the stability of the structure. The results display that, the addition of oxygen atoms affects the electrical and mechanical properties of penta-graphene, such as converting the band structure from semiconductor to insulating, reducing Young’s modulus, and changing the Poisson’s coefficient sign. Penta-graphene has received a lot of attention from researchers as a mechanical metamaterial or auxetic material due to its negative Poisson coefficient.
The Impact of Forced Migration on In-Group and Out-Group Social Capital

In this paper, we study how forced migration impacts the in-group and out-group social capital of Syrian refugees and the host population in Northern Lebanon by administering a novel survey experiment in which we manipulate the salience of the migration experience (for refugees) and the refugee crisis (for the host population). Additionally, we study the social spillovers to Palestinians, an established refugee population in Lebanon. We find that the impact of forced migration is largely restricted to the Syrian refugee-Lebanese host population channel, and that it increases the relative disparity between in-group and out-group social capital. This may cause refugees to favor in-group interactions and therefore forgo more economically advantageous interactions with out-group members.
A qualitative study to explore opinions of Saudi Arabian radiologists concerning AI-based applications and their impact on the future of the radiology

Objective: The aim of this study was to explore opinions and views towards radiology AI among Saudi Arabian radiologists including both consultants and trainees. Methods: A qualitative approach was adopted, with radiologists working in radiology departments in the Western region of Saudi Arabia invited to participate in this interview-based study. Semi-structured interviews (n = 30) were conducted with consultant radiologists and trainees. A qualitative data analysis framework was used based on Miles and Huberman’s philosophical underpinnings. Results: Several factors, such as lack of training and support, were attributed to the non-use of AI-based applications in clinical practice and the absence of radiologists’ involvement in AI development. Despite the expected benefits and positive impacts of AI on radiology, a reluctance to use AI-based applications might exist due to a lack of knowledge, fear of error and concerns about losing jobs and/or power. Medical students’ radiology education and training appeared to be influenced by the absence of a governing body and training programmes. Conclusion: The results of this study support the establishment of a governing body or national association to work in parallel with universities in monitoring training and integrating AI into the medical education curriculum and residency programmes. Advances in knowledge: An extensive debate about AI-based applications and their potential effects was noted, and considerable exceptions of transformative impact may occur when AI is fully integrated into clinical practice. Therefore, future education and training programmes on how to work with AI-based applications in clinical practice may be recommended.