Miracle-dz/UniFAR-FTUs huggingface dataset:
Mutation Analysis of Radioresistant Early-Stage Cervical Cancer

Radiotherapy is a definitive treatment for early-stage cervical cancer; however, a subset of this disease recurs locally, necessitating establishment of predictive biomarkers and treatment strategies. To address this issue, we performed gene panel-based sequencing of 18 stage IB cervical cancers treated with definitive radiotherapy, including two cases of local recurrence, followed by in vitro and in silico analyses. Simultaneous mutations in KRAS and SMAD4 (KRASmt/SMAD4mt) were detected only in a local recurrence case, indicating potential association of this mutation signature with radioresistance. In isogenic cell-based experiments, a combination of activating KRAS mutation and SMAD4 deficiency led to X-ray resistance, whereas either of these factors alone did not. Analysis of genomic data from 55,308 cancers showed a significant trend toward co-occurrence of mutations in KRAS and SMAD4. Gene Set Enrichment Analysis of the Cancer Cell Line Encyclopedia dataset suggested upregulation of the pathways involved in epithelial mesenchymal transition and inflammatory responses in KRASmt/SMAD4mt cancer cells. Notably, irradiation with therapeutic carbon ions led to robust killing of X-ray-resistant KRASmt/SMAD4mt cancer cells. These data indicate that the KRASmt/SMAD4mt signature is a potential predictor of radioresistance, and that carbon ion radiotherapy is a potential option to treat early-stage cervical cancers with the KRASmt/SMAD4mt signature.
Perinatal Environmental Health Education Intervention to Reduce Exposure to Endocrine Disruptors: The PREVED Project

Environmental health promotion interventions may reduce endocrine disruptor (ED) exposure. The PREVED (PREgnancy, preVention, Endocrine Disruptors) project was developed to improve knowledge, to enhance risk perception, and to change exposure behavior. Our objective was to present the phases of the PREVED project using the RE-AIM method. PREVED intervention consisted of three workshops during pregnancy. Reach, adoption, and implementation phases were assessed with qualitative studies. Efficacy study consisted of a three-arm randomized controlled trial (RCT) on 268 pregnant women: (i) control group (leaflet), (ii) intervention group in neutral location, (iii) intervention group in contextualized location. The main outcome was the percentage evolution of participants who reported consuming canned food. Secondary outcomes were evolution of psycho-social scores, evolution of ED presence in urine, and ED presence in colostrum. The intervention adoption was centered on upper-privileged women, but implementation assessment showed that key features (highly practical intervention) seemed to be carried out and had initiated some behavior changes. A total of 268 pregnant women participated in the intervention and 230 in a randomized controlled trial (control group: 86 and intervention groups: 172). We found no significant differences in consumption of canned food and in percentage of women having a decrease of bisphenol A or parabens in urine, but we found a significant increase in the evolution of risk perception score and overall psychosocial score in intervention groups (respectively: +15.73 control versus +21.03 intervention, p = 0.003 and +12.39 versus +16.20, p = 0.02). We found a significant difference in percentage of women with butylparaben detection between control group and intervention groups (13% versus 3%, p = 0.03). PREVED intervention is the first intervention research dedicated to perinatal environmental health education in France. By sharing know-how/experience in a positive non-alarmist approach, it improved risk perception, which is key to behavior change, aiming to reduce perinatal ED exposure. Including women in precarious situations remains a major issue.
Blind CFO Estimator for Spectrally Efficient Frequency Division Multiplexing System

In this Letter, an efficient blind carrier frequency offset (CFO) estimator is proposed for fractional CFO estimation in spectrally efficient frequency division multiplexing (SEFDM) system. Without exhaustive searching procedure, the estimate of CFO for SEFDM can be obtained by interpolation to maximize the designed objective function. Moreover, the behaviour of designed objective function is analyzed under the effect of packing factor of SEFDM and constellation type. Simulation results demonstrate that our proposed blind CFO estimator for SEFDM outperforms traditional estimators in the non-dispersive channel and time dispersive channel.
Exploring the Advantages of Blended Instruction at Community Colleges and Technical Schools

Given recent economic instability, attendance at community colleges and technical schools is expected to increase. While many community colleges and some technical institutes have embraced online education, others might benefit greatly from the continued development and expansion of blended instruction which seeks to infuse Web-based technologies into the teaching and learning process. Blended delivery offers advantages for the institution and student body, maximizing classroom space and school resources while at the same time offering greater flexibility for adult students who often have multiple responsibilities outside of the school environment.
Teachers under stress during the COVID-19: cultural differences

ABSTRACT The COVID-19 presented an unexpected event that had an immediate effect on education systems. Teachers had to make a sudden shift in their practice and adjust to this surprising and uncontrollable event. The present study explored teachers’ reactions to the COVID-19 in terms of their stress response, focusing on the possible differences between Jewish and Arab teachers in Israel due to their cultural background. Nine hundred twenty-nine teachers (484 Jewish and 445 Arab teachers) completed an online survey. Using a mixed method design with a survey that included both closed and open-ended questions. Data analysis revealed that teachers in Israel were moderately stressed during this period, with Arab teachers reporting significantly higher levels of stress than did Jewish teachers. Jewish teachers were stressed mainly by personal stressors, whereas Arab teachers were stressed mainly by factors related to their professional role and by environmental factors. Arab teachers were more concerned with the reactions of school principals, Ministry of Education, and the general public than Jewish teachers, who were more concerned with uncertainty regarding the present and the future. Potential implications of the study address the importance of adapting differential solutions to support teachers according to cultural, social, and personal characteristics.
Correlation between obstructive sleep apnea hypopnea syndrome and hypertension: a systematic review and meta-analysis.

BACKGROUND Obstructive sleep apnea hypopnea syndrome (OSAHS) is defined as more than 30 recurrent episodes of apnea or a sleep apnea hypopnea index (AHI) of more than 5 times/hour at a night. It is more common in people over 40 years old and is more prevalent in men. The pathogenesis factors and correlations of OSAHS are worth studying. METHODS A literature search was performed in the PubMed, Embase, and Ovid-Medline databases from the date when the database was established to April 2021. Keywords included obstructive sleep apnea hypopnea syndrome, sleep apnea hypopnea syndrome, hypertension, and correlation. RESULTS Eight articles involving 3,484 OSAHS patients were included. Analysis results showed that OSAHS was correlated with hypertension [odds ratio (OR) =6.44, 95% confidence interval (CI): 5.38-7.71, P<0.00001]. The severity of OSAHS revealed that the correlation of hypertension to mild, moderate, and severe OSAHS showed OR =1.93, 95% CI: 0.69-5.43, P=0.21, OR =0.43, 95% CI: 0.24-0.74, P=0.0003, and OR =0.85, 95% CI: 0.42-1.73, P=0.66, respectively. The results indicated that mild, moderate, and severe OSAHS are risk factors for hypertension. DISCUSSION Eight articles were included to determine the correlation between OSAHS and hypertension. It was found that OSAHS was closely correlated with hypertension, and they may be risk factors for each other.
Comparative Study on the Perception of Construction Safety Risks in China and Australia

Safety is a major concern in the construction industry because fatalities and injuries from construction work bring great losses to individuals, organizations, and societies as a whole. This paper aims to understand how construction personnel perceive safety risks in China as compared with those in Australia. Postal questionnaire surveys were used to collect data on safety risk perceptions from the two nations. The safety risk factors were assessed using a risk significance index based on the likelihood of occurrences and the impacts on safety performance. The survey results revealed that in China the main perception of safety risks came from human-and/or procedure-related issues, with “low/no safety education” paramount, followed by “inadequate fire prevention and electrical prevention procedures,” etc. In contrast, the major safety risks perceived in Australia were related to the environment and physical site conditions with “contamination of land, water and air” ranked first, followed by “unforeseen excavation of soil,” etc. To minimize construction safety risks in China, this paper suggests that the government should develop collective legislation and safety protection procedures, and enforce safety education and training to all site participants. Risks related to environmental and site conditions were generally realized by the Australia construction industry, which were not highly acknowledged in China. This may also bring imminent attention in this regard to the Chinese government.
Prevalence of bacterial pneumonia among HIV-Seropositive patients in East Africa: Review

Abstract Bacterial pneumonia is a significant cause of morbidity and mortality among the HIV-seropositive patients still in the era of combination Antiretroviral Therapy. The actual burden of bacterial pneumonia in HIV-seropositive patients is not well documented in East Africa. The purpose of this study is to evaluate the prevalence of pneumonia infection in HIV-seropositive patients in the region. Different electronic databases from PubMed, Google scholars, Scopus, Science direct and Web of Science were searched for articles published from 1994 to 2020 that assessed the prevalence of bacterial pneumonia in HIV-seropositive patients in East Africa. Data on the prevalence of bacterial pneumonia in HIV-seropositive patients in East Africa counties are limited. Therefore, only 13 articles about the prevalence of bacterial pneumonia in HIV-seropositive patients in East Africa were reviewed. Tanzania exhibited the highest level of bacterial pneumonia in HIV-seropositive patients at 59.76%, while Rwanda had the lowest level at 5.6%. The different risk factors identified, such as intravenous drugs, cigarette smoke and unvaccinated were associated with the development of bacterial pneumonia in HIV-seropositive patients. Bacterial pneumonia is a major public health problem and it is the leading cause of morbidity and mortality in HIV-seropositive patients in East Africa. This review will provide information to the scientific community, policymakers and program officers to design pneumonia preventive interventions in HIV-seropositive patients. The author recommended that further studies need to be conducted on the magnitude of bacterial pneumonia in HIV-seropositive patients in the region.
Field comparison between droplet distribution and the bioresidual activity of different insecticides against Spodoptera littoralis (boisd) by using certain ground spraying equipment on cotton platns

Field experiments are carried out in an area of about 1.9 feddan planted with cotton plants Giza (89) during season 2005 in 28 th June at Kafr Bani Ghrian, Monofia governorate. The selected area was split into 18 plots and control plots. Three products were sprayed with Profenofos, Spinosad and Pyriproxyfen of recommended rate and ¾ recommended rate and one treatment left without spraying as control by using conventional motor sprayer (600 L./Fed.), Motorized Knapsack sprayer (Agromondo) (20L/Fed.) and hand held compression sprayer (Kwazar) (94L/Fed.) for each product the average number of egg-masses of cotton leaf worm/m² was 3. Data indicated that, all tested compounds induce negative influenced on larval survival. The most effective compounds are Profenofos and Pyripoxyfen followed by Spinosad. It could be recommended to use Profenofos and Pyriproxyfen followed by Spinosad with LV spraying equipment with not less than (20L/Fed.) and use ¾ recommended dose which revealed successful results in mortality.
Incident and Normally Reflected Overpressure and Impulse for Detonations of Spherical High Explosives in Free Air

AbstractAir-blast parameters, including incident and reflected peak overpressures and impulses, and shock-front arrival times, are typically estimated for protective design using charts developed by Kingery and Bulmash. The charts underpredict incident and normally reflected peak overpressures and incident impulse near the face of the charge. Numerical analyses of detonations of spherical charges of trinitrotoluene in free air are performed using a verified and validated computational fluid dynamics (CFD) code to understand the shortcomings of current approaches for calculating incident and normally reflected overpressures and impulses, and for shock-front arrival time. New equations and design charts are proposed based on CFD calculations.
Novelty Detection: A Perspective from Natural Language Processing

The quest for new information is an inborn human trait and has always been quintessential for human survival and progress. Novelty drives curiosity, which in turn drives innovation. In Natural Language Processing (NLP), Novelty Detection refers to finding text that has some new information to offer with respect to whatever is earlier seen or known. With the exponential growth of information all across the Web, there is an accompanying menace of redundancy. A considerable portion of the Web contents are duplicates, and we need efficient mechanisms to retain new information and filter out redundant information. However, detecting redundancy at the semantic level and identifying novel text is not straightforward because the text may have less lexical overlap yet convey the same information. On top of that, non-novel/redundant information in a document may have assimilated from multiple source documents, not just one. The problem surmounts when the subject of the discourse is documents, and numerous prior documents need to be processed to ascertain the novelty/non-novelty of the current one in concern. In this work, we build upon our earlier investigations for document-level novelty detection and present a comprehensive account of our efforts toward the problem. We explore the role of pre-trained Textual Entailment (TE) models to deal with multiple source contexts and present the outcome of our current investigations. We argue that a multipremise entailment task is one close approximation toward identifying semantic-level non-novelty. Our recent approach either performs comparably or achieves significant improvement over the latest reported results on several datasets and across several related tasks (paraphrasing, plagiarism, rewrite). We critically analyze our performance with respect to the existing state of the art and show the superiority and promise of our approach for future investigations. We also present our enhanced dataset TAP-DLND 2.0 and several baselines to the community for further research on document-level novelty detection.
Cointegration Analysis under Measurement Errors

We study the effect of errors-in-variables [EV] on cointegration tests and cointegrating regressions. It turns out that the rate of convergence of static ordinary least squares [OLS] estimators is not affected by EV, whereas the limiting distribution does change. However, procedures accounting for short-run dynamics correct for EV at the same time and hence are robust to measurement errors. This is established asymptotically, and the relevance of our findings for finite samples is confirmed through computer experiments. Although our analysis is restricted to selected procedures, we indicate how our results will extend to related statistical techniques.
A Multi-Band 16–52-GHz Transmit Phased Array Employing 4 × 1 Beamforming IC With 14–15.4-dBm Psat for 5G NR FR2 Operation

This article introduces a millimeter-wave (mm-wave) multi-band transmit (Tx) phased-array design supp- orting the fifth-generation (5G) new radio frequency range 2 (NR FR2) bands. An eight-element phased-array module is presented employing two wideband 16–52 GHz <inline-formula> <tex-math notation="LaTeX">$4{\times }1$ </tex-math></inline-formula> Tx beamformer chips and tapered slot Vivaldi antenna array. The beamformer chips are designed in a SiGe BiCMOS process and flipped on a printed circuit board (PCB). The SiGe integrated circuit (IC) has four differential radio frequency (RF) beamforming channels each consisting of an active balun, analog adder-based phase shifter (PS), variable gain amplifier (VGA), and a two-stage class-AB power amplifier (PA). The RF input signal is distributed to the four channels using a compact Wilkinson network. The measured peak gain is 28.3 dB with 13.5–14.7 dBm output <inline-formula> <tex-math notation="LaTeX">$P_{1{\mathrm {dB}}}$ </tex-math></inline-formula> and 14–15.4 dBm <inline-formula> <tex-math notation="LaTeX">$P_{{\mathrm {sat}}}$ </tex-math></inline-formula> at 20–50 GHz. Each channel dissipates 250 mW from 2 V and 3-V supplies at <inline-formula> <tex-math notation="LaTeX">$P_{1\,{\mathrm{ dB}}}$ </tex-math></inline-formula>. The beamformer chip is tested using 64-QAM waveforms and achieves a data rate of 2.4 Gb/s at 5.2% rms EVM and 9.6-dBm average power. The eight-element phased-array module shows a broadband performance with excellent patterns and ±60° scanning capability and with a peak effective isotropic radiated power (EIRP) of 32–34 dBm at 19.5–51 GHz. At an EIRP of 21–22 dBm, 400-MHz 256-QAM 5G-NR compliant waveforms are transmitted with < 2.98% EVM demonstrating 5G NR FR2 operation. To the author’s knowledge, this work achieves the highest bandwidth phased array with a peak EIRP of 34 dBm enabling the construction of multi-standard/multi-band 5G phased-array systems.
Attenuation correction effects on quantitative precipitation estimation (QPE) at Sidoarjo weather radar

Weather radar waves experience attenuation due to meteorological objects in their path or referred to as wave attenuation. Attenuation can cause a large enough error to reflect the weather radar as input data for the calculation of QPE through the Z-R relation which eventually also causes an error in the QPE value. Attenuation can occur along the wave propagation path that contains meteorological objects, so that the farther from the weather radar location, the higher the potential for QPE error caused as the consequence of unapplied attenuation correction. Weather radar applies a local Z-R relation model where the backscatter of meteorological objects received by the radar is processed into a reflectivity value (Z) and then processed through an empirical equation to produce an estimated rainfall (R). There has been no research on attenuation correction using the Z-R relation model which was developed in Indonesia to determine the effect of attenuation correction from QPE in Sidoarjo weather radar. This research is intended to apply the attenuation correction preprocessing based on Kraemer Verworn preprocessing algorithm and Z-R relation model processing algorithm, Arida et al., developed in Indonesia for the QPE calculation considering the radius from the weather radar location. QPE that is incorrected for attenuation will be used as a comparison in this study to determine the differences that occur before and after the attenuation correction is applied. Furthermore, validation is carried out with rainfall observations from rain gauges through correlation analysis and RMSE. The results show that rainfall without attenuation correction tends to be of lower value, especially at greater distances from the weather radar. A higher correlation with a lower RMSE is generated by QPE with attenuation-corrected raw data input and at the relatively close distance to the weather radar.
Modeling Pavement Performance by Combining Field and Experimental Data

The accurate prediction of pavement performance is important for efficient management of the surface transportation infrastructure. By reducing the error of the pavement deterioration prediction, agencies can obtain significant budget savings through timely intervention and accurate planning. The goal of this research was to develop a methodology for developing accurate pavement deterioration models to be used primarily for the management of the road infrastructure. The loss of the riding quality of the pavement was selected as the performance indicator. Two measures of riding quality were used: serviceability (Present Serviceability Index, PSI) and roughness (International Roughness Index, IRI). An acceptable riding quality is important for both the road user and the goods being transported. Riding quality affects the comfort of the user for whom the road is provided, and the smoothness with which goods are moved from one point to another. The vehicle operating costs and the costs of transporting goods increase as the road riding quality deteriorates. These costs are often one order of magnitude more important than the cost of maintaining the road to an acceptable level of service. The initial incremental models developed in this dissertation predict serviceability as a function of material properties, pavement structural characteristics, traffic axle configuration, axle load, and environmental variables. These models were developed applying nonlinear estimation techniques using an experimental unbalanced panel data set (AASHO Road Test). The unobserved heterogeneity among the pavement sections was accounted for by using the random effects approach. The serviceability models were updated using joint estimation with a field panel data set (MnRoad Project). The updated model estimates riding quality in terms of roughness. This was possible by applying a measurement error model to combine both data sources. The main contribution of this research is not the development of a deterioration model itself, but rather the demonstration of the feasibility of using joint estimation and its many advantages, such as: (i) identification and quantification of new variables, (ii) efficient parameter estimates, (iii) bias identification and correction, and (iv) use of a measurement error model to combine apparently incompatible data sources.
Numerical investigation on the cooling performance of a novel jet cooler design for a supercritical CO2 turbine rotor shaft cooling

Numerical investigation was carried out to study the heat transfer performance for a high-speed rotating cylindrical surface subjected to single row array round jets impingement, under a very small gap spacing. Various parameters that affect heat transfer, such as the fluid density, flow velocity and Nusselt number distributions of the radius clearance were studied based on varied nozzle to target surface spacing H and mass flow rate. It has been found that the fluid density was a dominant factor and the velocity was the secondary factor for the gas jet heat transfer performances. The overall heat transfer was improved with a reduction in the number of nozzles, for given inlet mass flow rate boundary conditions. The decrease of H/di (di, nozzle diameter) may have positive or negative effects on the heat transfer performance from the impingement surface. Reducing the radius gap H, for a certainty, increases the average density of the fluid in the clearance, which is desirable in applications that enhance heat transfer performance. But when the radius gap (H) is small enough, increasing di may have a negative impact on heat transfer.