Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Conversion of Methane to Aromatics by Coupling Methylation Reaction

We report that the coupling of methane dehydroaromatization (MDA) and methanol methylation over a Mo/HZSM-5 catalyst can realize the direct conversion of methane to benzene, toluene, and xylene (BTX) with long-time steady state (60 h), higher activity (26.4%), and selectivity of BTX (>90%) at atmospheric pressure and 973 K. Based on characterization, it was confirmed that the formed benzene can be effectively methylated by methanol, leading to high activity and stability, which proves that the coke from polycondensation of the formed benzene results in rapid deactivation of MDA.
Wideband MIMO antenna for SCADA Wireless Communication Backhaul Application

A wideband multiple-input-multiple-output (MIMO) antenna system with common elements suitable for SCADA wireless communication backhaul application which is operating frequency of 0.85-2.6GHz that can cover global system for mobile communication (GSM) 900MHz and 1.8GHz, The Universal Mobile Telecommunication System (UMTS) 2GHz, WiFi (2.4GHz) and Long Term Evolution (LTE) 2.6GHz is proposed. The proposed MIMO antenna system consists of four microstrip feedline with common radiating element and a frame shaped ground plane. A single port antenna also was designed and presented in this paper to show the process to design wideband MIMO antenna structure. The radiator of the MIMO antenna system is designed as the shape of modified rectangle with straight line at each corner to enhance the bandwidth frequency. To improve the isolation between ports, the ground plane is modified by inserting four L-slots in each corner to reduce mutual coupling. For an antenna efficiency of more than 60%, the simulated reflection coefficients are below -10dB for all ports at expected frequency. Simulated isolation is achieved greater than -10dB by using a modified ground plane. Also, a low envelope correlation coefficient (ECC) less than 0.1 and polarization diversity gain of about 10dB with the orthogonal mode of linear polarization and omnidirectional pattern during the analysis of the radiation characteristic are achieved. Therefore, the proposed design can be used for SCADA wireless communication backhaul application.
Dynamic monitoring of circulating tumor DNA to predict prognosis and efficacy of adjuvant chemotherapy after resection of colorectal liver metastases

Rationale: Hepatectomy and adjuvant chemotherapy after resection of colorectal liver metastases (CRLM) may improve survival, however, patients which may benefit cannot currently be identified. Postoperative circulating tumor DNA (ctDNA) analysis can detect minimal residual disease (MRD) and predict the prognosis and efficacy of adjuvant chemotherapy. Our study aims to determine the impact of serial ctDNA analysis to predict the outcome among patients undergoing resection of CRLM. Methods: Between May 2018 and October 2019, 91 CRLM patients were prospectively enrolled. Whole exome sequencing was performed in 50 primary and 48 metastatic liver tissues. Targeted sequencing of 451 cancer relevant genes was performed in 50 baseline plasma to determine plasma-tissue concordance. We prospectively investigated changes in the amount and constitution of ctDNA in 271 serial plasma samples taken at different time points (baseline, pre-operation, post-operation, post-operative adjuvant chemotherapy (post-ACT) and recurrence) during the treatment of CRLM. Results: Detected molecular alterations were highly consistent among baseline ctDNA, primary and liver metastases tissue. Patients with a higher variant allele frequency (VAF) level at baseline ctDNA represent a higher tumor burden, and decreased ctDNA during pre-operative chemotherapy predicted better tumor response. Patients with detectable post-operative and post-ACT ctDNA were associated with significantly shorter recurrence-free survival (RFS). ROC analysis showed that post-ACT ctDNA status was superior to post-operative ctDNA status in predicting RFS with an AUROC of 0.79. A significant difference in overall recurrence rate was observed in patients with detectable vs undetectable levels of ctDNA after resection of CRLM (79.4% vs 41.7%) and after completion of adjuvant chemotherapy (77.3% vs 40.7%). During adjuvant chemotherapy, patients with decreased ctDNA VAF after adjuvant chemotherapy had a recurrence rate of 63.6%, compared to 92.3% in patients with increased ctDNA VAF. Conclusions: We envision that dynamic ctDNA analysis, especially in a post-ACT setting, might be used to not only reflect MRD but also to determine rational personalized adjuvant therapy after the resection of CRLM.
Mechanisms of Nanosecond Pulsed Electric Field (NsPEF)-Induced Cell Death in Cells and Tumors

The evolution of pulse power technology from high power physics to biology and medicine places nanosecond pulsed electric fields (nsPEFs) in positions for in vitro and in vivo applications as non-ligand agonists that not only bypass plasma membrane receptors for induction of intracellular signaling pathways, but also bypass intracellular oncogenic impasses to induce cell death by regulated mechanisms. Based on work reviewed here, a likely scenario for cell and tumor demise includes nsPEF-induced permeabilization of the plasma membrane, Ca2+ influx, dissipation of the mitochondrial membrane potential, which is likely due to events beyond permeabilization of the inner mitochondrial membrane, cytochrome c release and activation of caspase-dependent and -independent cell death mechanisms. In vivo, nsPEF-treated orthotopic rat N1-S1 hepatocellular carcinoma tumors exhibit caspase-9 and caspase-3 positive and –negative tumor cells, indicating intrinsic apoptotic and non-apoptotic cell death. Interestingly, after N1-S1 tumor ablation and clearance, rats are resistant to challenge injections of the same N1-S1 tumor cells, indicating a protective, vaccine-like effect that appears to be due to innate and/ or adaptive immune responses that are under further investigation. This provides additional impetus to further develop nsPEF ablation as a cancer therapy.
Determinants of Frozen Fish Consumption by Households in Delta State, Nigeria

The research explored factors affecting the consumption of frozen fish in Delta State Nigeria. One hundred and 20 participants from 12 communities were randomly chosen. In order to obtain information from the respondents, a questionnaire was used. The findings indicate that 57.5% of those surveyed were females with mean of 43years old. Around 64.2% of the respondents were married and 81.7% of them were educated. The average household size was around 5 people; 92.5% were Christian and they had a mean income of N72,499.5. The mean consumption expenditure of frozen fish was N11,899.95. The average frozen fish intake per capita was 10.38 kg /year. Beef is the principal substitute of frozen fish. Owing to health reasons, most preferred consumption of frozen fish. Religion did not impede consumption of frozen. Majority of the respondents preferred to consume frozen fish in smoked form. The result revealed that age, educational status, household size, income level, frozen fish prices and frozen fish substitute prices influence the consumption of frozen fish. It is recommended price of frozen fish should be controlled to encourage its consumption considering the nutritional benefits.
REMOVAL OF NUTRIENTS AS INFLUENCED BY VARIED RATES OF RECOMMENDED NUTRIENTS IN CONJUNCTION WITH BIOFERTILIZERS IN LOCAL LANDRACES OF PADDY IN COASTAL AREA OF KARNATAKA, INDIA

Date of Receiving-05-11-2020; Date of Acceptance-16-01-2021) The uptake of nutrients by the paddy crop better indicative of the fertility, productivity, and plant nutrient status. The main objective of this investigation was that the rate of nutrient application can influence the removal of nutrients into formsavailable to the soil with different landraces in conjunction with the application of different microbial inoculants under different fertility levels. The yield of landraces was significantly influenced by the microbial inoculants under different fertility levels.Significantly higher uptake of N, P and K was observed in the landrace padmarekha compared to other landraces. The nutrient removal from the soil was in the range of 81.57 – 104.08 kg N, 19.55 -33.96 kg P and 88.15 – 111.81 kg/ha Kamong landraces. Similarly, the higher uptake was seen with the application of 100 per centRDF along with the azospirullum, Bacillus megatherium var. Phosphoticum Frateuria quaratia,Thiobacillus thiooxidans and Vesicular ArbescularMycorrizae.The nutrient removal was in the range of 47.11-122.0 kg N, 10.71-36.7 kg P2O5 and 34.22141. 21 kg/ha K2O among fertility levels in different paddy landraces used in the study. The different microbial inoculants application with the recommended dose of fertilizers in different levels helped in the acquisition of the nutrients from the soil solution illustrating the effects of microbial applications through the increased supply of biologically fixed nitrogen, mobilizing the phosphorus towards plant roots, and potassium availability to the crop. Thus, our investigations acclaim that there is a need to inoculate the crop with different microbial inoculants to increase the use and uptake of the nutrients by the crop and improvement in soil nutrient status.
A new hope of CD133+ bone marrow stem cell for functional exercise capacity improvement in low ejection fraction coronary artery bypass graft patients: a clinical trial

A new hope of CD133+ bone marrow stem cell for functional exercise capacity improvement in low ejection fraction coronary artery bypass graft patients: a clinical trial Tri Wisesa Soetisna1,2* Background: Patients with low ejection fraction who are undergoing coronary artery bypass graft (CABG) only have an insignificant improvement in ejection fraction. This condition will make a little hope to achieve an improvement in physical performance. But now, from a view study, CD133+ stem cells offer new hope for this situation. This study evaluates CD133+ bone marrow stem cells’ role for functional exercise capacity improvement in low ejection fraction coronary artery bypass
EFFECT OF DIETARY CITRIC, ACETIC ACIDS OR THEIR MIXTURE ON BROILER CHICKS PERFORMANCE, CARCASS CHARACTERISTICS AND SOME INTESTINAL HISTOMORPHOLOGICAL PARAMETERS

A total number of 120, 1d old unsexed chicks were randomly distributed and divided equally into 4 dietary treatment groups with 3 replicates each. All broiler chickens were kept under similar managerial conditions. Basal starter and finisher diets were supplemented with two types of organic acids as follows: T1: basal diet (control, without supplementation), T2: basal diet + 2% citric acid (CA), T3: basal diet + 1% acetic acid (AC) and T4: basal diet + 1% citric acid + 0.5% acetic acid. Two corn-soybean based basal diets were formulated to be fed during starter (1 to 21 d, 22.13% CP and 3088 Kcal ME/ kg diet) and finisher (22 to 42 d, 19.82% CP and 3154 Kcal ME/ kg diet) periods. Growth performance parameters, feed conversion ratio, some carcass characteristics and some lymphoid organs were estimated. Some blood parameters (total protein, albumin, total cholesterol, creatinine, ALT and AST) and histomorphological samples and parameters were determined at 42 day. Also, European productive and economic efficiency were calculated. Results indicated that; chicks fed diets supplemented with a mixture of citric acid (1%) and acetic acid (0.5%) had significantly (P ≤ 0.05) the highest values of body weight, body weight gain and the best feed conversion ratio, while recorded the lowest feed intake compared to the other treatments. Moreover, using mixture of supplementation significantly (P ≤ 0.05) improved performance index (PI) in comparison with the control treatment. A significant (P ≤ 0.05) beneficial effect of citric acid and acetic acid or their mixture as feed supplementation were found concerning dressing, giblets and some immune organs percentages at 42d of age compared to the control group. Mixture of citric acid and acetic acid supplementation significantly (P ≤ 0.05) increased some serum biochemical constituents (total protein, albumin, globulin and liver enzyme; ALT), while, total lipids and cholesterol concentrations were significantly (P ≤ 0.05) decreased. Histomorphological sections of the small intestine revealed villi height and villi widths were significantly (P ≤ 0.05) increased with the supplementation of organic acid alone or in their mixture compared to the control group. Also, the mixture of 1% CA + 0.5% AC supplementation had beneficial effects on economical efficiency. In conclusion, there are some beneficial effects of using a mixture of citric acid and acetic acid (1% citric acid + 0.5% acetic acid) in the diets of chicks on productive performance, carcass traits, with no harm effect on health under experimental conditions.
Validity of noninvasive composite scores to assess cardiovascular risk in ten-year-old children

234 words Manuscript: 3684 words Tables and figures: 3 tables and 1 figures Corresponding author: Øystein Lerum Faculty of Teacher Education and Sports, Sogn og Fjordane University College, P.O. Box 133, 6851 Sogndal, Norway E-mail: oystein.lerum@hisf.no Office phone: +47 57676365 Cell phone: +47 91172244
The Hitchhiker’s Guide to Computational Linguistics in Suicide Prevention

Suicide, a leading cause of death, is a complex and a hard-to-predict human tragedy. In this article, we introduce a comprehensive outlook on the emerging movement to integrate computational linguistics (CL) in suicide prevention research and practice. Focusing mainly on the state-of-the-art deep neural network models, in this “travel guide” article, we describe, in a relatively plain language, how CL methodologies could facilitate early detection of suicide risk. Major potential contributions of CL methodologies (e.g., word embeddings, interpretational frameworks) for deepening that theoretical understanding of suicide behaviors and promoting the personalized approach in psychological assessment are presented as well. We also discuss principal ethical and methodological obstacles in CL suicide prevention, such as the difficulty to maintain people’s privacy/safety or interpret the “black box” of prediction algorithms. Ethical guidelines and practical methodological recommendations addressing these obstacles are provided for future researchers and clinicians.
Strength and Durability Characteristics of Cement-lime Mortars with Fly Ash and Slag as Aggregate Substitutes

The global consumption of sand by the concrete industry has increased significantly over the years. Natural sand has become a desired commodity in numerous regions of the world. To protect both the existing resources of natural sand and utilize waste materials, drastic actions are urgently needed. The production of cement mortars, which are solely based on fine aggregate, is responsible for the large consumption of natural sand. In the described research program, we proposed to substitute 50 % of the natural sand in mortars with fly ash and slag. The strength properties and durability characteristics of the new mortars were tested. It was proved that mortars with fly ash and slag can be used for specific applications in civil engineering. Areas for future research associated with the mortars in question were also pointed out.
Desktop-LED lighting for Eye Muscle Movement by Adjusting the Light Illuminance and Color Temperature

In this paper, we propose the design and implementation of a desktop LED stand and smart app that automatically adjusts color temperature and illuminance for optimal brightness and eye health by improving the structural problem of the LED stand. It is a tabletop LED stand that supports optimal brightness through color temperature control and heat transfer through infrared LED to relieve eye strain through blood circulation and muscle movement. The LED stand works with the smartphone to automatically adjust the optimal brightness and color temperature for the user's environment. In addition, the brightness of the infrared LED is adjusted to a living frequency of 4Hz to relax the eye muscles and reduce eye strain. This study implemented an effective measured data-based system of previous studies through the color temperature and illumination of LED lighting, and near-infrared rays, and presented meaningful results by conducting an experiment to prove the effect through subjects.
Performance Analysis of Sensor Node Energy in Wireless Sensor Networks: A Perspective Analysis

Theoretical In the previous many years, Wireless Sensor Network (WSN) has become a wide territory of exploration. In WSN, various sensor hubs are arbitrarily arrangement with various energy level. Energy goes about as force source and is accessible to every sensor hub in restricted amount. The restricting element is that sensor hubs are energy compelled and reviving or supplanting battery is exorbitant and complex cycle. This paper investigates the distinctive energy utilization factors which impact the lifetime and execution of the WSN's. The primary variables which impact the energy utilization in WSN's are versatility, load adjusting, dependability, correspondence, crash, over-hearing, ideal posting and inactivity. Specialists have demonstrated that the hub close to sink hub release fastly. Aside from these, a large portion of the energy is expended during the exchange of information from sender to recipient. In this paper exertion is made to dissect the impact of various variables on energy utilization in WSN's.
Determinants of Delay in Healthcare Seeking for Common Childhood Illnesses among Caregivers with Under-Five Children in Touboro Health District, Near Cameroon’ s Northeastern Border with Chad

Aims: The study sought to determine the determinants of delay in health-seeking among caregivers with under-five children. Study Design: This was a mixed-method, cross-sectional study. Place and Duration of Study: The study took place in Touboro Health District involving 386 caregivers of under-five children from May to July 30, 2020. Methodology: A structured questionnaire and two focused group discussions were used to gather information on caregiver knowledge of healthcare-seeking behavior. Data were analyzed using Original Research Article Ngouakam et al.; IJTDH, 42(5): 1-14, 2021; Article no.IJTDH. 66145 2 SPSS version 25.0. Bivariable logistic regression was employed to identify factors associated with of healthcare seeking behavior. Results: Results of the 386 sick children, fever 39.9% (154/386), diarrhea 30.3% (117/386) and cough 24.9% (96/386) were the common symptoms. The majority of the caregivers of the underfive children had poor knowledge of 63% (243/386) about common infant illnesses. Caregivers of female children under-five(OR= 2.26, 95% CI: 1.29-3.96, P = 0.004), caregivers aged between 21 and 30 years (OR=5.53, 95% CI: 1.32-23.11, P = 0.019), caregivers whose occupation is housewife (OR=2.64 95% CI 1.23-5.68, P =10.013),) ,caregivers who host > 6children in a household (OR= 3.56 95% CI 1.42-8.92 , P =0.007) were key determinants of delay in health-seeking. Conclusion: Caregivers of female children under-five, caregivers aged between 21 and 30 years, caregivers whose occupation is housewife, caregivers under-five children residing in a rural area, caregivers who host more than 6 children in a household, households with an average monthly income of <10.000 FRS Cfa were predictors of delay appropriate health-seeking. There is a need to intensify health education focusing on childhood illnesses, and timely care-seeking to effectively respond to caregiver's expectations among others.
Effect of injection timing on combustion and soot formation in a direct injection spark ignition engine fueled with butanol

Ever tighter restrictions on pollutant emissions, energy security and a continuous drive for improving fuel economy have extended the range of application for direct injection in spark ignition engines and promoted the use of alternative fuels. Direct injection features higher soot formation compared to external mixture preparation, and therefore, intensive research is performed for understanding the processes related to this pollutant category. This study looked into the effect of injection timing in a wall-guided direct injection spark ignition engine when gasoline was completely replaced with n-butanol. Thermodynamic measurements were coupled with optical investigations that provided improved insight into local distribution of diffusive flames during late combustion stages. These data were correlated with exhaust gas measurements of CO, HC and NOx, as well as opacity. The optimum setting for injection timing was found to be a compromise between intake airflow velocity and piston positioning that influenced wall impingement. Late injection resulted in reduced soot but higher HC emissions, as well as lower performance compared to the optimum point. Early fuel delivery had roughly the same effect on indicated mean effective pressure and stability, with the downside of increased opacity. These observations were detailed with data obtained through cycle-resolved imaging that showed different integral luminosities with respect to injection phasing and confirmed that fuel impingement on the piston crown is the main factor of influence for soot formation. Ultraviolet–visible spectroscopy in the late combustion phase was also applied in repetitive mode in order to provide better insight into cyclic variability of the emission intensity in the range specific for carbonaceous structures.
An approximate Bayesian approach for estimation of the reproduction number under misreported epidemic data

In epidemic models, the effective reproduction number is of central importance to assess the transmission dynamics of an infectious disease and to orient health intervention strategies. Publicly shared data during an outbreak often suffers from two sources of misreporting (underreporting and delay in reporting) that should not be overlooked when estimating epidemiological parameters. The main statistical challenge in models that intrinsically account for a misreporting process lies in the joint estimation of the time-varying reproduction number and the delay/underreporting parameters. Existing Bayesian approaches typically rely on Markov chain Monte Carlo (MCMC) algorithms that are extremely costly from a computational perspective. We propose a much faster alternative based on Laplacian-P-splines (LPS) that combines Bayesian penalized B-splines for flexible and smooth estimation of the time-varying reproduction number and Laplace approximations to selected posterior distributions for fast computation. Assuming a known generation interval distribution, the incidence at a given calendar time is governed by the epidemic renewal equation and the delay structure is specified through a composite link framework. Laplace approximations to the conditional posterior of the spline vector are obtained from analytical versions of the gradient and Hessian of the log-likelihood, implying a drastic speed-up in the computation of posterior estimates. Furthermore, the proposed LPS approach can be used to obtain point estimates and approximate credible intervals for the delay and reporting probabilities. Simulation of epidemics with different combinations for the underreporting rate and delay structure (one-day, two-day and weekend delays) show that the proposed LPS methodology delivers fast and accurate estimates outperforming existing methods that do not take into account underreporting and delay patterns. Finally, LPS is illustrated on two real case studies of epidemic outbreaks.