Miracle-dz/UniFAR-FTUs huggingface dataset:
Explaining political jiu-jitsu

The use of violent coercion to repress unarmed protests, such as that seen during the Arab Spring, sometimes backfires on the government – an outcome called ‘political jiu-jitsu’. Examining unique global data covering extreme violence used by governments against unarmed protests from 1989 to 2011 (drawn from UCDP) and the Nonviolent and Violent Campaigns and Outcomes (NAVCO) data, this study aims to explain the conditions under which this outcome occurs. This study contributes to both the nonviolent action and one-sided violence literatures by further disaggregating this effect into both domestic and international outcomes, a distinction that has not previously been made in empirical studies. We find evidence that a pre-existing campaign infrastructure increases the likelihood of increased domestic mobilization and security defections after violent repression, but is unrelated to international backlash. Within ongoing NAVCO campaigns we find that parallel media institutions increase the likelihood of increased domestic mobilization and international repercussions after repression, and that this effect holds true for both traditional media and ‘new’ (i.e. internet-based) media. One of the novel contributions of this study is that we identify an important selection effect in the NAVCO data and the critical role of organizational infrastructure, especially communications infrastructure, in generating preference changes that create the conditions where killing unarmed civilians becomes costly for repressive governments. We conclude with a discussion of the potential implications of this study and avenues for future research.
Role of Esophagectomy after Chemoradiation Therapy in Patients with Locally Advanced Squamous Cell Carcinoma: A Comparative Analysis Stratified by Clinical Response to Chemoradiation Therapy

Purpose This study aimed to evaluate the long-term effect of esophagectomy in patients with esophageal squamous cell carcinoma (ESCC) by comparing the chemoradiotherapy (CRT)-only group and the trimodality treatment (TMT) group who received concurrent CRT followed by surgery. Materials and Methods We included 412 operable ESCC patients treated with TMT or CRT between January 2005 and December 2015. The oncological outcomes of the two groups were compared using a weighted Cox proportional-hazards model with inverse probability of treatment weighting (IPTW). Results The median survival time was 64 and 32 months in the TMT (n=270) and CRT (n=142) groups, respectively (p < 0.001). After IPTW, the median overall survival (OS) remained significantly higher in the TMT group than in the CRT group (61 months vs. 32 months, p=0.016). Moreover, the TMT group showed a better local recurrence–free rate (LRFR; p < 0.001) and distant metastasis–free rate (p=0.007). In the subgroup of patients with clinical complete response (cCR), the OS was not significantly different between the two groups, both before and after IPTW adjustment (p=0.35 and p=0.93). However, among non-cCR patients, the OS was significantly higher in the TMT group (64% vs. 45%, p < 0.001). Conclusion In patients with locally advanced ESCC, TMT was superior to CRT in terms of OS and LRFR. Such difference was more prominent in the non-cCR subgroup. In patients who achieved cCR, esophagectomy was effective in improving LRFR but not OS, suggesting that esophagectomy may be omitted in complete responders.
Servo motor selection criterion for mechatronic applications

Modern mechatronic applications often involve complex motions, resulting in highly dynamic motor loads. The selection of an appropriate motor is based on the characteristics of the load, besides other technical, as well as economic, considerations. However, motor characteristics, such as rotor inertia, affect the motor load, which complicates the analysis. The selection criterion presented in this paper separates the motor characteristics from the load characteristics and its graphical representation facilitates the feasibility check of a certain drive and the comparison between different systems. In addition, it yields the range of possible transmission ratios. The method is illustrated with an industrial case study.
Si/Ge hetero-structure nanotube tunnel field effect transistor

We discuss the physics of conventional channel material (silicon/germanium hetero-structure) based transistor topology mainly core/shell (inner/outer) gated nanotube vs. gate-all-around nanowire architecture for tunnel field effect transistor application. We show that nanotube topology can result in higher performance through higher normalized current when compared to nanowire architecture at Vdd = 1 V due to the availability of larger tunneling cross section and lower Shockley-Reed-Hall recombination. Both architectures are able to achieve sub 60 mV/dec performance for more than five orders of magnitude of drain current. This enables the nanotube configuration achieving performance same as the nanowire architecture even when Vdd is scaled down to 0.5 V.
A Semi-Supervised Transfer Learning with Dynamic Associate Domain Adaptation for Human Activity Recognition Using WiFi Signals

Human activity recognition without equipment plays a vital role in smart home applications, freeing humans from the shackles of wearable devices. In this paper, by using the channel state information (CSI) of the WiFi signal, semi-supervised transfer learning with dynamic associate domain adaptation is proposed for human activity recognition. In order to improve the CSI quality and denoising of CSI, we carried out missing packet filling, burst noise removal, background estimation, feature extraction, feature enhancement, and data augmentation in the data pre-processing stage. This paper considers the problem of environment-independent human activity recognition, also known as domain adaptation. The pre-trained model is trained from the source domain by collecting a complete labeled dataset of all of the CSI of human activity patterns. Then, the pre-trained model is transferred to the target environment through the semi-supervised transfer learning stage. Therefore, when humans move to different target domains, a partial labeled dataset of the target domain is required for fine-tuning. In this paper, we propose a dynamic associate domain adaptation called DADA. By modifying the existing associate domain adaptation algorithm, the target domain can provide a dynamic ratio of labeled dataset/unlabeled dataset, while the existing associate domain adaptation algorithm only allows target domains with the unlabeled dataset. The advantage of DADA is that it provides a dynamic strategy to eliminate different effects on different environments. In addition, we further designed an attention-based DenseNet model, or AD, as our training network, which is modified by an existing DenseNet by adding the attention function. The solution we proposed was simplified to DADA-AD throughout the paper. The experimental results show that for domain adaptation in different domains, the accuracy of human activity recognition of the DADA-AD scheme is 97.4%. It also shows that DADA-AD has advantages over existing semi-supervised learning schemes.
Nativity-Related Disparities in Preeclampsia and Cardiovascular Disease Risk Among a Racially Diverse Cohort of US Women

Key Points Question Are maternal nativity and duration of US residence independently associated with preeclampsia among Hispanic, non-Hispanic Black, and non-Hispanic White women? Findings In this cross-sectional study including 6096 women, US-born Hispanic, non-Hispanic Black, and non-Hispanic White women had worse cardiovascular risk profiles than their counterparts born outside the US. In addition, maternal nativity and duration of US residence were associated with preeclampsia among non-Hispanic Black women but not among Hispanic or non-Hispanic White women after adjustment for sociodemographic and cardiovascular risk factors. Meaning These findings suggest that nativity-related disparities in preeclampsia among non-Hispanic Black women are not fully explained by nativity differences in sociodemographic and cardiovascular risk factors.
High Intensity Functional Training (HIFT) Improves Fitness in Recruit Firefighters

Background: Firefighting is a strenuous profession requiring adequate levels of fitness for effective job performance. Providing firefighters with a safe and effective fitness program is essential for optimal performance. The purpose of this project was to examine changes in various parameters of physical fitness and firefighter ability following a 7-week high intensity functional training (HIFT) program. Methods: Participants were male firefighter recruits (N = 89; age = 27.1 ± 4.2 years, height = 1.78 ± 0.1 m, BMI = 28.1 ± 4.2) enrolled in a Basic Operations Firefighter Academy. Fitness and firefighting ability (via the Academy Firefighter Challenge) were assessed at Weeks 1 and 7 of the Academy. Results: Significant improvements in both fitness and firefighter ability were seen following the HIFT program. Specifically, fitness (BMI, cardiovascular fitness, muscular endurance) improved significantly [Hotelling’s T2 = 8.98, F(5, 84) = 150.92, p < 0.001, η2p = 0.90]. Firefighter ability also improved significantly [Hotelling’s T2 = 3.95, F(7, 88) = 46.26, p < 0.001, η2p = 0.80]. Conclusions: Following a 7-week Basic Operations Firefighter Academy that included daily HIFT, significant increases in fitness and firefighting ability were observed. These findings suggest that HIFT appears to be an effective means of improving fitness and firefighting ability in recruit firefighters.
CHARACTERIZATION OF ANATOMICAL, MORPHOLOGICAL, PHYSICAL AND CHEMICAL PROPERTIES OF KONAR (ZIZIPHUS SPINA-CHRISTI) WOOD

The goal of this research is to investigate some morphological (fibre length, fibre diameter, cell wall thickness, Runkel coefficient, flexibility coefficient, slenderness coefficient, rigidity coefficient, Luce's coefficient, solid coefficient), physical (dry wood density, volumetric shrinkage) and chemical (cellulose, hemicellulose, lignin, ash and acetone soluble extractives contents) composition of Konar (Ziziphus spina-christi) wood grown in Hormozgan province, Iran. For this purpose, three normal trees were selected randomly and a disk was cut from each one at breast height. Anatomical inspection revealed that the species was diffuse porous, with distinctive growth rings, simple preformation plate, with polygonal openings, and banded or diffuse-in aggregates parenchyma. The average values of wood dry density, fiber length, fiber diameter, cell wall thickness, Runkel coefficient, flexibility coefficient, felting coefficient, Luce’s coefficient, solid coefficient, rigidity coefficient were 0.926, 52.1, 77.85, 0.57, 163 ×103 μ3 and 0.48. Cellulose, hemicellulose, lignin, acetone soluble, extractives, ashcontents were43.34, 19.98, 33.9, 6.42 and 2.78%, resp.
Evaluation the Performance of Al-wahdaa Project Dri nking Water Treatment Plant: A Case Study in Iraq

Ali Ahmed Mohammed*, Alaa A. Shakir * Departement of Civil and Structural Engineering, Faculty of Engineering, The National University of Malaysia (UKM) 43600 Bangi, Selangor Darul Ehsan, Malaysia, Assista nt Lecturer in Ministry of Higher Education and Sci entific ResearchOffice Reconstruction and Projects Departme nt, IRAQ. Department of Civil Engineering, College of Engineeri ng, Universiti Tenaga Nasional, KM 7 Jalan Kajang-P uchong, 43009 Kajang, Selangor, Malaysia
Warehouse design with storage policy considerations

A search procedure for finding a global optimal solution for a, specific formulation of the warehouse design problem is presented. In this formulation three types of costs are considered: costs associated with the initial investment (construction and handling facilities), a shortage cost and costs associated with the storage policy. The search procedure for finding the optimal storage design is developed, comprising analytical optimization and simulation techniques.
Prognostic Value of Histone Modifying Enzyme EZH2 in RCHOP-Treated Diffuse Large B-Cell Lymphoma and High Grade B-Cell Lymphoma

Background: DLBCL represent a heterogeneous group of aggressive diseases. High grade B-cell lymphomas (HGBCL) were recently individualized from DLBCL as a discrete diagnostic entity due to their worse prognosis. Currently, although most patients are successfully treated with RCHOP regimens, 1/3 will either not respond or ultimately relapse. Alterations in histone modifying enzymes have emerged as the most common alterations in DLBCL, but their role as prognostic biomarkers is controversial. We aimed to ascertain the prognostic value of EZH2 immunoexpression in RCHOP-treated DLBCL and HGBCL. Results: We performed a retrospective cohort study including 125 patients with RCHOP-treated DLBCL or HGBCL. EZH2 expression levels did not differ between diagnostic groups or between DLBCL-NOS molecular groups. We found no associations between EZH2 expression levels and outcome, including in the subgroup analysis (GC versus non-GC). Nonetheless, EZH2/BCL2 co-expression was significantly associated with worse outcome (event free survival and overall survival). Conclusion: Although EZH2 mutations are almost exclusively found in GC-DLBCL, we found similar EZH2 expression levels in both DLBCL-NOS molecular groups, suggesting non-mutational mechanisms of EZH2 deregulation. These findings suggest that the use of EZH2 antagonists might be extended to non-GC DLBCL patients with clinical benefit. EZH2/BCL2 co-expression was associated with a worse outcome.
Bland–Altman Limits of Agreement from a Bayesian and Frequentist Perspective

Bland–Altman agreement analysis has gained widespread application across disciplines, last but not least in health sciences, since its inception in the 1980s. Bayesian analysis has been on the rise due to increased computational power over time, and Alari, Kim, and Wand have put Bland–Altman Limits of Agreement in a Bayesian framework (Meas. Phys. Educ. Exerc. Sci. 2021, 25, 137–148). We contrasted the prediction of a single future observation and the estimation of the Limits of Agreement from the frequentist and a Bayesian perspective by analyzing interrater data of two sequentially conducted, preclinical studies. The estimation of the Limits of Agreement θ1 and θ2 has wider applicability than the prediction of single future differences. While a frequentist confidence interval represents a range of nonrejectable values for null hypothesis significance testing of H0: θ1 ≤ −δ or θ2 ≥ δ against H1: θ1 > −δ and θ2 < δ, with a predefined benchmark value δ, Bayesian analysis allows for direct interpretation of both the posterior probability of the alternative hypothesis and the likelihood of parameter values. We discuss group-sequential testing and nonparametric alternatives briefly. Frequentist simplicity does not beat Bayesian interpretability due to improved computational resources, but the elicitation and implementation of prior information demand caution. Accounting for clustered data (e.g., repeated measurements per subject) is well-established in frequentist, but not yet in Bayesian Bland–Altman analysis.
High step-up pulse-width modulation DC–DC converter based on quasi-Z-source topology

In this study, a new high step-up non-isolated DC-DC converter is proposed. This converter is derived from quasi-Z-source inverter and quadratic boost converter. Compared with these converters, it gives higher gain at the same duty ratio. Steady-state analysis for the proposed converter operating in continuous conduction mode is presented. Expressions for power loss in each component and gain for non-ideal converter are derived. Design expressions for various elements of converter are derived. A small-signal model is derived and controller design is discussed. A prototype is implemented in laboratory to verify the performance of the converter. Experimental results show good agreement with the theoretical analysis and simulation results.
Albanian Migrants in Cyclades: Contact with Mental Health Services and Implications for Practice

The purpose of this study was to examine the potential differences between Albanian migrants and Greeks in the islands of Paros and Antiparos with regard to seeking help from the local public mental health service, namely the Mobile Mental Health Unit of NE Cyclades Islands (EPAPSY-NGO). The study’s instruments include the Global Assessment of Functioning (GAF) and a questionnaire for recording psychosocial profile data and information concerning contact with the services. The results showed that significantly less Albanian migrants contacted the mental health services in the past in comparison to Greeks. When using the service, the Albanians were more likely to see a psychiatrist in the Unit, rather than a psychologist-psychotherapist, and they more often received prescriptions for medication. There was a significantly higher dropout rate among Albanian migrants. This study highlights the different aspects of access and use of mental health services among Albanian migrants compared with native residents. Further research should focus on the factors related to early dropouts and difficulties accessing mental health services in rural areas, in order to develop more focused and effective interventions and improve the quality of care provided.
Clotting of Hemodialysis Access in Patients with COVID-19 in an Inner-City Hospital

Background: An increased incidence of thrombotic complications in patients with coronavirus disease 2019 (COVID-19) has been reported. Severe acute kidney injury (AKI) is one of the major clinical manifestations of COVID-19 with the need for renal replacement therapy. It was observed that hemodialysis (HD) accesses tended to thrombose more often in the COVID-19 population than in non-COVID-19 patients. We hypothesize that the hypercoagulable state of COVID-19 is associated with higher incidence of access clotting. Method: In this retrospective single-centered study at Kings County Hospital in New York City, 1,075 patients with COVID-19 were screened, and 174 patients who received HD from January 3, 2021 to May 15, 2020 were enrolled to examine the risk factors of dialysis access clotting in patients with COVID-19. Results: Of the 174 patients, 109 (63%) were COVID-19 positive. 39 (22.6%) patients had dialysis access clotting at least once during their hospitalization, and they had significantly higher body mass index (BMI) (p = 0.001), higher rates of COVID-19 (p = 0.015), AKI (p < 0.001), higher platelet counts (p = 0.029), higher lactate dehydrogenase levels (p = 0.009), and lower albumin levels (p = 0.001) than those without access malfunctions. Low albumin levels (p = 0.008), AKI (p = 0.008), and high BMI (p = 0.018) were risk factors associated with HD access clotting among COVID-19 patients. Conclusion: Patients with COVID-19 who receive HD for AKI with high BMI are at a higher risk of clotting their HD access.
Intermetallic compounds at aluminum-to-copper electrical interfaces: effect of temperature and electric current

The effects of intermetallic compounds on the electrical and mechanical properties of bimetallic friction welded Al-Cu joints was studied. The formation and growth of intermetallic compounds was studied in the temperature ranges 200-525/spl deg/C. In addition, the effect of electrical current on the morphology and kinetics of formation of intermetallic compounds of bimetallic friction welded aluminum-copper joints was studied in the temperature ranges 200-500/spl deg/C that was realized by heating Al-Cu joints with an ac current of different intensities (400-1000 A). The contact resistance was found to increase linearly with the thickness of the intermetallics. The presence of an electrical field greatly accelerates the kinetics of formation of intermetallic phases and alters significantly their morphology. The growth kinetics of intermetallic phases under the influence of electrical current is much higher than that under diffusion annealing in furnace. >
Dried Blood Spot Biomarkers of Oxidative Stress and Inflammation Associated with Blood Pressure in Rural Senegalese Women with Incident Hypertension

Blood biomarkers of oxidative stress and inflammation have been associated with increased risk of hypertension development; yet their application in sub-Saharan Africa has been limited due to the lack of blood collection facilities. In this study, we evaluated the usefulness of dried blood spots (DBS), a more feasible alternative to venous blood, in rural sub-Saharan residents. We recruited 342 women with incident hypertension from rural Senegal, and measured C-reactive protein (CRP) and malondialdehyde (MDA) in DBS and concurrent blood pressure (BP) at baseline and 1-year follow-up. Associations of DBS biomarkers with current levels of and 1-year changes in BP were examined after adjusting for demographic, medical, and socioeconomic covariates. DBS concentrations of MDA were significantly associated with concurrent systolic BP (SBP) (p < 0.05), while DBS baseline concentrations of CRP were associated with longitudinal changes in SBP between baseline and follow-up. Compared to participants with baseline CRP < 1 mg/L, those with CRP of 1–3 mg/L and 3–10 mg/L had 2.11 mmHg (95%CI: −2.79 to 7.02 mmHg) and 4.68 mmHg (95%CI: 0.01 to 9.36 mmHg) increases in SBP at follow-up, respectively. The results support the use of DBS biomarkers for hypertension prevention and control, especially in settings with limited clinical resources.
THRESHOLDING BASED TECHNIQUE FOR RETINAL BLOOD VESSEL EXTRACTION

The challenging problem of designing techniques that assist computer-aided medical diagnosis has developed as a result of the rapid expansion of computing and information technologies. Due to the obvious growing number of diabetic retinopathy (DR) patients, automated procedures for rapid screening are in greater demand. The accurate diagnosis of DR depends upon detecting and analyzing some features of human retina (i.e. blood vessels, fovea, optic disc, etc.) as well as several types of spot lesions (i.e. exudates, drusen, microaneurysms, hemorrhage, etc). This study focus on blood vessel segmentation in the human retina, which is an essential milestone in retinal image analyzation. To accomplish more efficient and optimum segmentation, the proposed approach employs a number of image processing techniques including contrast enhancement, normalisation, and thresholding. Experiments show that the presented technique produces high-accuracy segmentation and the algorithm is ideally suited for real-time screening applications and large data retrieval. Keyword: Diabetic Retinopathy; Vessel Segmentation; Automatic Thresholding.