Miracle-dz/UniFAR-FTUs huggingface dataset:
Soursop seedlings: emergence and development under different cultivation environments and substrates – Part I

Seedling quality is crucial to obtain vigorous plants in the field. This study aims to evaluate the emergence and development of soursop seedlings in different substrates in protected environments. The experiment was conducted at the Mato Grosso do Sul State University and carried out using five protected environments: greenhouse, greenhouse with thermo-reflective screen, nursery with monofilament screen, nursery with thermo-reflective screen, and nursery with palm thatch. The substrates (S) consisted of cattle manure (M), humus (H), cassava branches (C), and vermiculite (V) as in the following ratios: S1 = H + V (1:3), S2 = H + V (1:1), S3 = H + V (3:1), S4 = H + C (1:3), S5 = H + C (1:1), S6 = H + C (3:1), S7 = M + V (1:3), S8 = M + V (1:1), S9 = M + V (3:1), S10 = M + C (1:3), S11 = M + C (1:1), S12 = M + C (3:1), S13 = H + M + V (1:1:1), S14 = H + M + C (1:1:1), and S15 = H + M + V + C (1:1:1:1). For the statistical analysis, each of those environments was considered as an experiment in which was used the completely randomized design; subsequently, it was performed a combined analysis of them. In summary, the greenhouse with thermo-reflective screen and combined substrates with “M + V” promote greater development of the seedlings. High concentrations of “V” or “C” cause no beneficial effect on soursop seedlings.
Review on Hybrid Data Mining Techniques for The Diagnosis of Heart Diseases in Medical Ground

This paper, presents a systematic review of the applicationof Data Mining methods in h healthcare domain, with a focuson the application and the techniques used which willoptimize the results. These methods are new approaches tosolve the problems in healthcare domain. Data mining applications can have tremendous potential and usefulness . However, the success of data mining techniques on the availability of clean data. In this respect, it iscritical that the industry look into how data can be bettercaptured, stored, prepared and examined. Whenever we are using hybrid data mining techniques in the real data we get more and more accurate data for the system.
An investigation of factors affecting steambox heating effectiveness

This work documents the third set of experiments conducted at the institute of Pulp and Paper Science (IPST) on factors affecting steambox heating effectiveness. The first set of experiments validated the usefulness of anew and unique piece of experimental equipment, the Steambox Comparator. The second set of experiments indicated that the wet sheet air permeability was a potential determinant factor in steambox heating efficiency, but the experiments were not designed to examine wet sheet air permeability. The data contained a fair amount of scatter and only used two fiber types. These shortcomings left some doubt as to the validity of the conclusion and were the motivation for the third set of experiments. The hypothesis was based on the concept that the sheet structure (pore shape, size, interconnectedness, fiber physical structure, etc.) is the primary factor governing steam penetration into the sheet. Permeability is an indirect characterization of the sheer structure, and sheet structure is affected by furnish, refining, pressing, and other sheet processing methods. This study used sheets made from four different fiber types at two refining levels and three basis weights. The results from the experimental work indicated that air permeability of the wet sheet was a determinant factor in steambox heating efficiency and that furnish, refining, and basis weight are not determinant factors in controlling the effectiveness of steam heating. Furnish, refining, and basis weight are only important in that changing furnish or basis weight can alter the permeability of the sheet. Application: Mills can use the ideas in the paper to estimate whether or not a steambox will effectively heat a sheet and to determine whether or not a vacuum box will assist the hearing process.
The Development of an Adaptable Surface Modification Architecture for Microfluidic Applications

A framework to compartmentalize microfluidic surfaces was developed. Substrates are separated from surface modifying agents with an intermediate binding layer (IBL). The IBL is comprised of two compounds which bind together using a non-covalent interaction; a host compound is immobilized on the substrate, and a guest compound is conjugated to the surface modifying agent. The primary benefit of the IBL architecture is adaptability: substrates and surface compounds become modular components with standard connectors. β-Cyclodextrin (βCD) and adamantane (AD) were selected as the model immobilized host and conjugated guest, respectively. A quartz crystal microbalance (QCM) was assembled and developed to study the βCD/AD complexation interaction. Kinetic, thermodynamic, and Langmuir isotherm data were reported for AD-derivatives binding with
Investigation of Multibeam Forming Algorithm for Cylindrical Conformal Array Antenna

A multibeam forming algorithm based on cylindrical conformal array antenna is proposed in this paper. A comprehensively optimized algorithm of Taylor weights is used to reduce sidelobes. Multiple beams pointed at different azimuth angles are formed based on a reconfigurable overlapping array division method of subarrays, therefore each beam can get the maximum excitation of subarrays and ensure the pointing accuracy of the main lobe. Finally the cylindrical array antenna realizes the multibeam scanning and area coverage. The experimental results show that the sidelobe level after comprehensive optimization is 7.37 dB lower than that without optimization and 1.71 dB lower than that of traditional optimization when a single beam is formed. The comprehensive optimization can eliminate the grating lobe between two beams and reduce the sidelobe to -15 ∼ -20 dB when the two beams are 30°. The left sidelobe is reduced by 2.75 dB and the right sidelobe is reduced by 1.69 dB after comprehensive optimization when the two beams are separated by 40°.
Novel Slippery Liquid-Infused Porous Surfaces (SLIPS) Based on Electrospun Polydimethylsiloxane/Polystyrene Fibrous Structures Infused with Natural Blackseed Oil

Hydrophobic fibrous slippery liquid-infused porous surfaces (SLIPS) were fabricated by electrospinning polydimethylsiloxane (PDMS) and polystyrene (PS) as a carrier polymer on plasma-treated polyethylene (PE) and polyurethane (PU) substrates. Subsequent infusion of blackseed oil (BSO) into the porous structures was applied for the preparation of the SLIPS. SLIPS with infused lubricants can act as a repellency layer and play an important role in the prevention of biofilm formation. The effect of polymer solutions used in the electrospinning process was investigated to obtain well-defined hydrophobic fibrous structures. The surface properties were analyzed through various optical, macroscopic and spectroscopic techniques. A comprehensive investigation of the surface chemistry, surface morphology/topography, and mechanical properties was carried out on selected samples at optimized conditions. The electrospun fibers prepared using a mixture of PDMS/PS in the ratio of 1:1:10 (g/g/mL) using tetrahydrofuran (THF) solvent showed the best results in terms of fiber uniformity. The subsequent infusion of BSO into the fabricated PDMS/PS fiber mats exhibited slippery behavior regarding water droplets. Moreover, prepared SLIPS exhibited antibacterial activity against Staphylococcus aureus and Escherichia coli bacterium strains.
Group comparison of individuals with and without irritable bowel syndrome in terms of psychological and lifestyle-related factors

Objective: In this study, we intended to explore group differences between individuals with and without irritable bowel syndrome (IBS) in terms of psychological (i.e., perceived stress, internalizing problems, and difficulties in emotion regulation) and lifestyle-related factors (i.e., health-promoting behaviors and the frequency of smoking and alcohol consumption). Method: The data were collected using an online survey packet comprising demographic information form, Rome III Criteria for IBS, Health-Promoting Life-Style Profile II, Perceived Stress Scale, Brief Symptom Inventory, and Difficulties in Emotion Regulation Scale. The study sample consisted of 105 individuals who met IBS based on Rome III Criteria and 105 healthy individuals. Results: The group comparisons showed that IBS is positively associated with being female, perceived stress level, internalizing problems (i.e., depression, anxiety, and somatization), and some difficulties in emotion regulation (i.e., strategy and impulse). However, IBS was not associated with age, perceived income level, the frequency of smoking and alcohol consumption, and health-promoting behaviors (i.e., physical activity and nutrition). Conclusion: Overall, the results suggest that IBS might be more related to psychological factors than healthy lifestyle factors. Thus, assessing psychological factors in IBS interventions might be helpful in the prevention and treatment of IBS.
Measuring Instrument Constructs of Return Factors for Green Office Building Investments Variables Using Rasch Measurement Model

This paper is a preliminary study on rationalising green office building investments in Malaysia. The aim of this paper is attempt to introduce the application of Rasch measurement model analysis to determine the validity and reliability of each construct in the questionnaire. In achieving this objective, a questionnaire survey was developed consists of 6 sections and a total of 106 responses were received from various investors who own and lease office buildings in Kuala Lumpur. The Rasch Measurement analysis is used to measure the quality control of item constructs in the instrument by measuring the specific objectivity within the same dimension, to reduce ambiguous measures, and a realistic estimation of precision and implicit quality. The Rasch analysis consists of the summary statistics, item unidimensionality and item measures. A result shows the items and respondent (person) reliability is at 0.91 and 0.95 respectively.
A APROPRIAÇÃO DA CRIATIVIDADE NOS ESTUDOS DE GESTÃO: UMA REVISÃO INTEGRATIVA E IDENTIFICAÇÃO DE LACUNAS NA LITERATURA

O presente estudo teve como objetivo analisar como a criatividade tem sido apropriada nos estudos de gestão dos últimos cinco anos por meio de uma revisão integrativa de literatura. A revisão integrativa foi realizada com o apoio da plataforma SPELL, utilizando os seguintes filtros: Palavra-chave: criatividade; Período da publicação: janeiro de 2015 a janeiro de 2020; Tipo de documento: artigo; Idioma: português. Esta busca resultou num quantitativo de 32 (trinta e duas) publicações. Com a leitura acurada dos resumos, foram excluídos 8 (oito) artigos do corpus, pois tratavam de temas que não levavam em consideração a prática da criatividade nas organizações, totalizando 24 (vinte e quatro) artigos. Realizou-se a leitura do corpus e como resultados foram criados quadros que correspondem às matrizes de síntese das categorias temáticas, delimitadas como: “Relações entre criatividade e inovação”; “Métricas para aferir a criatividade”; Criatividade como insumo para a economia criativa”; e “Outras perspectivas emergentes”. Percebe-se uma heterogeneidade temática dos estudos do corpus, tendo-se como recomendações que futuros estudos possam abordar a inter-relação entre a criatividade e a inovação, elementos da gestão da criatividade, abordagens qualitativas como alternativas às métricas e a possibilidade de estudos em contextos diferenciados, como negócios sociais, empreendimentos turísticos e organizações públicas.
An Approach for Predicting Global Ionospheric TEC Using Machine Learning

Accurate corrections for ionospheric total electron content (TEC) and early warning information are crucial for global navigation satellite system (GNSS) applications under the influence of space weather. In this study, we propose to use a new machine learning model—the Prophet model, to predict the global ionospheric TEC by establishing a short-term ionospheric prediction model. We use 15th-order spherical harmonic coefficients provided by the Center for Orbit Determination in Europe (CODE) as the training data set. Historical spherical harmonic coefficient data from 7 days, 15 days, and 30 days are used as the training set to model and predict 256 spherical harmonic coefficients. We use the predicted coefficients to generate a global ionospheric TEC forecast map based on the spherical harmonic function model and select a year with low solar activity (63.4 < F10.7 < 81.8) and a year with the high solar activity (79.5 < F10.7 < 255.0) to carry out a sliding 2-day forecast experiment. Meanwhile, we verify the model performance by comparing the forecasting results with the CODE forecast product (COPG) and final product (CODG). The results show that we obtain the best predictions by using 15 days of historical data as the training set. Compared with the results of CODE’S 1-Day (C1PG) and CODE’S 2-Day (C2PG). The number of days with RMSE better than COPG on the first and second day of the low-solar-activity year is 151 and 158 days, respectively. This statistic for high-solar-activity year is 183 days and 135 days.
Micromachined threshold inertial switches: a review

This paper presents a review of the recent advances on micromachined inertial switches/triggers. The review focuses on their advantages and disadvantages, sensitive directions, mechanisms of contact-enhancement, threshold accuracy, and the tunability of the acceleration threshold. Several applications of these sensors are highlighted including in healthcare, structural health monitoring, internet of things, and military. Recent contemporary research directions are also discussed, such as multi-directions/axis, multi-threshold sensors, and machine learning implementation. The article concludes with discussion on future development trends and performance improvements of inertial switches.
CalTAD is the Key Evaluation Tool for Measurement of Cephalic Fixation Position for Predicting Cut-Out in Geriatric Intertrochanteric Fracture Patients with Internal Fixations after Achieving Acceptable Reduction

Objective To discover the key evaluation tool of the cephalic fixation position for predicting implant failures in geriatric intertrochanteric fracture (ITF) patients treated with internal fixations after achieving an acceptable reduction. Methods We measured the geriatric ITF patients undergoing single-screw cephalomedullary nailing (CMN) fixation surgery after obtaining the acceptable reduction (including anatomical reduction and positive medial cortex support reduction) in our treatment group between September 2016 and March 2020 by using four kinds of cephalic fixation position evaluation tools including Cleveland zone system, Parker’s ratio index, tip–apex distance (TAD), calcar-referenced TAD (CalTAD), and analyzed which were the key evaluation tools for measurement of cephalic fixation position for prediction of implant failures in geriatric ITF patients with internal fixations. Results Seventy-four ITF patients treated with single-screw CMN fixation after obtaining the acceptable reduction were enrolled in this study. Of the 74 patients, nine cases were observed with implant failures. There were six cases of cut-out and three of pending cut-out. We found that TAD (odds ratio (OR)=1.149; 95% confidence interval (CI), 1.00–1.32; P=. 046) and CalTAD (OR=1.140; 95% CI, 1.00–1.30; P=.037) were risk factors for implant failures by univariate analysis, while only CalTAD (OR=1.200; 95% CI, 1.032–1.395; P=.018) was the independent risk factor for implant failures by multivariate analysis. The Kappa coefficient (κ) of CalTAD was . 976 (95% CI, .966–.984) by ICC analysis. The ROC analysis showed that the best cut-off value of CalTAD was 23.76 mm with a sensitivity of 77.8% and specificity of 72.3% (area under the curve, AUC =.775; P = .001). Conclusions CalTAD is the key evaluation tool for measurement of cephalic fixation position for predicting implant failures in geriatric ITF patients treated with single-screw CMN after obtaining the acceptable reduction.
Usefulness of the Atherosclerosis Risk Score for Patients With Acute Infarction in the Lenticulostriate Artery Region

Background and purpose Internal carotid artery intima-media thickness (IMT) and pulse wave velocity (PWV) are risk factors of cerebrovascular disease and coronary artery disease. They are known as independent predictors of arteriosclerotic disease. It has been reported that IMT and PWV are useful factors for predicting stroke subtype and/or outcome. Coronary artery disease onset is proportional to atherosclerosis progression, and the Framingham Risk Score (FRS) and Suita score (SS) are standard risk predictors. This study examined whether FRS and SS can be useful for patient outcomes with acute infarction in the lenticulostriate artery (LSA) region without special tests or invasive procedures while using IMT or PWV as predictive factors. Methods We screened 629 consecutive patients with ischemic stroke and reviewed 84 patients with acute infarction in the LSA region who were admitted between January 2018 and December 2020. An early deterioration (ED) group was defined. In addition, the clinical characteristics, FRS, SS, treatment therapy, and neurovascular findings were evaluated. Results FRS and SS (FRS: 11.6 vs. 8.3, p < 0.01, SS: 58.2 vs. 53.7, p = 0.01, respectively), pre-symptomatic modified Rankin Scale (mRS) (p = 0.03), mRS at discharge (p < 0.01), and deterioration of manual muscle test (MMT) (<0.01) were significantly higher in patients in the ED (34 patients) group than in the no-ED group (54 patients). FRS and SS were correlated with mRS deterioration (FRS: r = 0.47; p < 0.01, SS: r = 0.23; p = 0.03). Among the laboratory parameters, total cholesterol (TC) (p < 0.01) and low-density lipoprotein cholesterol (LDL-C) (p < 0.01) were significantly higher in the ED group, and no significant differences in any acute therapeutic interventions. Conclusion Atherosclerosis risk scores, such as FRS and SS, may be useful for predicting outcomes in patients with acute LSA-region infarctions within 48 hours of onset.
Geophysical Imaging of the Critical Zone along the Eastern Betic Shear Zone (EBSZ), SE Iberian Peninsula

The critical zone (CZ) represents the most-shallow subsurface, where the bio-, hydro-, and geospheres interact with anthropogenic activity. To characterize the thickness and lateral variations of the CZ, here we focus on the Eastern Betic Shear Zone (EBSZ), one of the most tectonically active regions in the Iberian Peninsula. Within the EBSZ, the Guadalentín Depression is a highly populated area with intensive agricultural activity, where the characterization of the CZ would provide valuable assets for land use management and seismic hazard assessments. To achieve this, we have conducted an interdisciplinary geophysical study along the eastern border of the Guadalentín Depression to characterize the CZ and the architecture of the shallow subsurface. The datasets used include Electrical Resistivity Tomography (ERT), first-arrival travel time seismic tomography, and multichannel analysis of surface waves (MASW). The geophysical datasets combined help to constrain the high-resolution structure of the subsurface and image active fault systems along four transects. The resulting geophysical models have allowed us to interpret the first ~150 m of the subsurface and has revealed: (i) the variable thickness of the CZ; (ii) the CZ relationship between the fault zone and topographic slope; and (iii) the differences in CZ thickness associated with the geological units. Our results provide a method for studying the shallow subsurface of active faults, complementing previous geological models based on paleo-seismological trenches, and can be used to improve the CZ assessment of tectonically active regions.
Enhanced Toughness and Sound Absorption Performance of Bio-Aerogel via Incorporation of Elastomer

In this study, Arabic gum/ carboxylic butadiene-acrylonitrite latex aerogels (AG/XNBRL) hybrid aerogel was successfully prepared by a green method, i.e., the combination of latex compounding and vacuum freeze-drying process. After that, the obtained composites were subjected to a high temperature treatment to crosslink the rubber phase. It was found that the AG in the AG/XNBRL hybrid aerogel could act as a framework to improve the dimensional stability of the aerogel, while the XNBRL phase could significantly improve the mechanical flexibility of the ensuing composite. Compared to the AG aerogel which is highly brittle in nature, the AG/XNBRL hybrid aerogel not only exhibits significantly enhanced toughness, but also shows improved thermal stability and sound absorption performances; for instance, the half weight loss (50%) temperature and average sound adsorption coefficient for aerogel containing 30 wt% XNBRL is 344 °C and 0.585, respectively, which are superior to those of neat AG aerogel. Overall, this work provides novel inspiration to prepare the mechanical robust bio-based aerogel for the sound absorption application.
AMSA Meat Color Measurement Guidelines

Meat color is an important aspect of consumer’spurchase decisions regarding meat products. Perceived meat color results from the interaction of light, a detector(i.e. human eye), and numerous factors that are both intrinsic and extrinsic tothe muscle which influence the chemical state of myoglobin. The complex nature of these interactions dictatesthat decisions regarding evaluations of meat color be made carefully, and thatinvestigators have a basic knowledge of the physical and chemical factorsaffecting their evaluations. Theseguidelines were compiled to aid investigators in navigating the pitfalls ofmeat color evaluation and ensure the reporting of information needed forappropriate interpretation of the resulting data. The guidelines provide an overview ofmyoglobin chemistry, the perception of meat color, in addition to details ofinstrumentation used in meat color evaluation. Moreover, these guidelines detail practical considerations for simulatedretail display studies and provide details of the most common laboratorytechniques used in meat color literature. Importantly, the guidelines indicate the information that should beincluded when reporting meat color research to aid in appropriateinterpretation. Practical considerationsneeded for troubleshooting meat color problems in a commercial setting areincluded as well. Investigators areencouraged to review the entire guidelines before designing and conducting meatcolor research.
Comparison of LEBA and RULA Based on Postural Load Criteria and Epidemiological Data on Musculoskeletal Disorders

Various observational methods have been developed and applied in industrial settings with the aim of preventing musculoskeletal disorders (MSDs). This study aimed to compare the Rapid Upper Limb Assessment (RULA), a representative observational method, and the Loading on the Entire Body Assessment (LEBA), a newly developed tool for assessing postural loads and their association with MSDs. The two methods were compared in various categories, including general characteristics, risk levels, postural load criteria, association with MSDs, influencing factors, and inter- and intra-rater reliabilities based on relevant previous studies. The results showed that compared to the RULA, the LEBA was better at evaluating various factors affecting postural loads and assessing musculoskeletal loadings, was better correlated with various postural load criteria, could predict the association with MSDs more accurately, and had higher inter- and intra-rater reliabilities. Based on these comparisons, it seems that the LEBA may be better than the RULA for estimating postural stress and predicting the association with MSDs.