Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Stacking Sequence on the Mechanical and Water Absorption Properties of Areca-Pineapple Fiber-based Epoxy Composites

ABSTRACT By hybridizing fibers, natural fibers are widely employed to substitute synthetic fibers in all feasible applications. The present study focuses on the development and characterization of hybrid Areca-Pineapple fiber epoxy composites with varied stacking sequences. Using the hand lay-up method, four types of stacking sequence-based epoxy composites were developed. ASTM standards were used to evaluate the mechanical and water absorption characteristics of the developed composites. Test results revealed that the ultimate tensile (53.433 MPa), flexural (60 MPa), compression (16.591 MPa), and Shore-D hardness (91) values were higher for three layers of pineapple fibers-based epoxy composites. At the same time, the three layers of areca fibers-based epoxy composites showed better impact (0.8 J) and water absorption properties (2.4%) due to the high amorphous contents of the fibers. Morphological studies carried out by a scanning-electron-microscope revealed stronger fiber-matrix bonding, resulting in higher mechanical test results.
UPLC-QTOF-MS-Based Untargeted Study of Metabolites Secreted by Sclerotinia Sclerotiorum Pathogen Under Axenic Condition

The stem rot disease has emerged globally as a major disease threat to the productivity and seed quality of oilseed Brassica. The generalist causal pathogen Sclerotinia sclerotiorum (Lib.) de Bary shows large variability in their aggressiveness and pathogenicity. Revealing the metabolic profile and signaling components of the pathogen in host-pathogen interaction are fundamental in understanding host resistance to the disease. In this study, the metabolites released by the pathogenic strains of S. sclerotiorum under the axenic culture have been identified using the untargeted high-resolution UPLC-QTOF-ESI-MS/MS. The analysis of the ethyl acetate extracts of the S. sclerotiorum culture revealed ten major secondary metabolites namely, sclerin, sclerotinin-B, sclerone, melanin, bostrycoidin, botcinin-D, botcinin-A, gliovirin, scleramide, and botcinic acid. The later six metabolites are being reported for the first time in the culture extract of the S. sclerotiorum pathogen. The phylogenetic analysis based on the overlapping and unique informative peaks in the chromatograms, the six S. sclerotiorum strains were grouped into three major clads. The clustering based on metabolic profiles does not substantiate the diversity based on morphology or virulence differences on the host. The findings of the study signified the metabolites secreted under the axenic conditions are varies based on their growth and developmental stages and may not necessarily be the determining factors for their differential aggressiveness and virulence over the host.
Thermal Analysis of Air Cooling System for Electric Machines Using Lumped Parameter and Flow Resistance Network

This paper combines lumped parameter thermal network and flow network techniques to perform thermal analysis of electric machine. The method is applied to investigate the efficiency of a novel cooling design for a high-power-density motor based on airflow. A lumped thermal circuit is used to develop a theoretical model for the heat transfer problem of the machine. The 11 nodes and 19 thermal resistance thermal network circuit is used to discretize the heat equation while the 2 node flow network circuit is used to model convection which is fed back in the thermal circuit. The model is compared with numerical computational fluid dynamics simulation, performed on the CAD model of the machine. The machine is rated at 2kW, 40Arms, 15000 min−1 with 2 pole-pairs surface permanent magnet.
The Effect of Emotional Intelligence on Organization Performance Using the Big Five Personality Traits”: An Applied Study on Higher Education Institutions

Design/Methodology: Based on the Structural Equation Model, this study examines 270 faculty members within a higher education institution, to test an estimated model presenting the effect of top management EI on organization performance in the presence of the BFPT. The hypothesized model indicates that there is no significance for the presence of the one of the dimensions of EI domain as an independent variable. Thus, this dimension is deleted and another hypothesized model is re-estimated.
The link between cord blood IL-1β, TLR4, PGE2 and TAC values with neonatal diseases

Premature birth is an important cause of neonatal mortality and neonatal morbidity. Most premature births are known to be induced by cytokines released for different reasons. Inadequate congenital immune response in premature infants may contribute to increased susceptibility to infection. The aim of the study is to determine the IL-1β, TLR4, PGE2, and TAC profiles in cord blood with characteristics specific to pregnancy and the correlation with neonatal complications caused by premature birth. The study included 26 neonates, 11 girls and 15 boys, born from 24-42 weeks of gestation. Of these, 13 were term and 13 were preterm . For IL-β, PG-E2, TLR4 and TAC levels, 1 mL of cord blood sample was taken from preterm and term neonates. Data related to demographic data, clinical status of patients and outcomes were obtained from electronic medical records and files. Cytokine values obtained from premature neonates were statistically high in terms of TLR4, IL1 and PGE2 compared to term infants. The TRL4 and IL1 values for premature infants with necrotizing enterocolitis and retinopathy of prematurity were lower compared to those without NEC and ROP. In spite of negative correlations between TAC and the other three cytokines, a statistically significant correlation was not identified. TLR4, IL1 and PGE2 were negatively correlated with weight and gestational week, contrarily TAC measurements were positively correlated with weight and gestational week. Measurements of cytokine concentrations in cord blood are among important biomarkers showing degree of inflammation and may assist in predicting neonatal complications and play an effective role in development of specific treatments.
Planting Density and Time of White Lupine Relay Intercropping in TEFF (Eragrostis tef (Zucc.) Trotter) in Burie District, North Western Ethiopia

The experiment was conducted during 2015/16 main rainy season in Burie District, North Western Ethiopia with an objective of evaluating the potential of lupine relay intercropping with different density and rely time of lupine in teff. Factorial combinations of 3 relay intercropping time(after 4,6,and 8 weeks of teff sowing),2 inter-row spacing (40cm and 60cm) and 2 intra-row spacing of lupine (20cm and 30cm), totally 12 treatment combinations, and 2 sole cropping of teff and lupine were laid out in randomized complete block design at three replications. The collected was subjected to ANOVA using SAS (9.2) software. LER and MAI were calculated to evaluate the yield advantage of lupine relay intercropping for which the highest LER (1.62) and MAI (20402.42 birr/ha) was obtained from early intercropping accompanied with narrower intra and inter row spacing of lupine.
C-G

In ordinary homological algebra, if M is an R-module, the usual way of starting to construct a projective resolution of M is to let F be the free R-module generated by the elements of M and F // M the epimorphism determined by (m) Â // m. One then takes the kernel of F // M and continues the process. But notice that in the construction of F // M a lot of structure is customarily overlooked. F is actually a functor MG of M , F // M is an instance of a natural transformation G // (identity functor); there is also a “comultiplication” G // GG which is a little less evident. The functor G, equipped with these structures, is an example of what is called a standard construction or “cotriple”. In this paper we start with a category C, a cotriple G in C, and show how resolutions and derived functors or homology can be constructed by means of this tool alone. The category C will be non-abelian in general (note that even for modules the cotriple employed fails to respect the additive structure of the category), and the coefficients will consist of an arbitrary functor E:C // A , where A is an abelian category. For ordinary homology and cohomology theories, E will be tensoring, homming or deriving with or into a module of some kind. To summarize the contents of the paper: In Section 1 we define the derived functors and give several examples of categories with cotriples. In Section 2 we study the derived functors Hn( , E)G as functors on C and give several of their properties. In Section 3 we fix a first variable X ∈ C and study Hn(X, )G as a functor of the abelian variable E. As such it admits a simple axiomatic characterization. Section 4 considers the case in which C is additive and shows that the general theory can always, in effect, be reduced to that case. In Section 5 we study the relation between cotriples and projective classes (defined—essentially—by Eilenberg-Moore [Eilenberg & Moore (1965)]) and show that the homology only depends on the projective class defined by the cotriple. Sections 6–9 are concerned largely with various special properties that these derived functors possess in well known algebraic categories (groups, modules, algebras, . . . ). In Section 10 we consider the problem of defining a cotriple to produce a given projective class (in a sense, the converse problem to that studied in Section 5) by means of “models”. We also compare the results with other theories of derived functors based on models. Section 11 is concerned with some technical items on acyclic models.
Evidence from a Series of 104 Equine Sarcoids Suggests That Most Sarcoids in New Zealand Are Caused by Bovine Papillomavirus Type 2, although Both BPV1 and BPV2 DNA Are Detectable in around 10% of Sarcoids

Simple Summary Equine sarcoids are common cancers of horses that are caused by bovine papillomaviruses (BPVs). Previous studies have suggested that most sarcoids are caused by either BPV1 or BPV2, with the proportion caused by each BPV type dependent on the country in which the horse lived. Additionally, some studies also suggest that other papillomavirus (PV) types could cause equine sarcoids. The study was comprised of 104 sarcoids from New Zealand horses and used both specific and consensus PCR primer sets. Overall, PV DNA was amplified from 90% of the sarcoids. Of the ones that contained BPV DNA, 88% contained only BPV2 DNA, 10% BPV1 and BPV2 DNA, and 2% only BPV1 DNA. Only the primers specific for BPV1 or specific for BPV2 amplified DNA and no other PV types were detected. There was little variability in the rates of detection between different regions of New Zealand and rates were consistent when two distinct time periods were compared. These results suggest that sarcoids from New Zealand horses are consistently most often caused by BPV2 and thus if vaccination is used to prevent these cancers, it will be important to use a vaccine that provides good protection against this BPV type. Abstract Equine sarcoids are common mesenchymal neoplasms of horses that are caused by cross-species infection by deltapapillomaviruses. While bovine papillomavirus (BPV) 1 and 2 are the most common causes, there are differences between countries regarding which of these BPV types cause the majority of sarcoids. Additionally, no causative PV can be detected in a subset of sarcoids, suggesting that other PV types could be rarer causes of these neoplasms. In the present study, consensus PCR primers and PCR primers specific for the five deltapapillomavirus types currently known to cause mesenchymal neoplasia (BPV1, BPV2, BPV13, BPV14, and Ovis aries PV2 DNA) were used to investigate the presence of PV DNA in 104 sarcoids from three defined regions in New Zealand and from two distinct time periods separated by 15 years. PV DNA was detected in 94 (90.4%) sarcoids. Of the sarcoids containing PV DNA, 83 (88.3%) contained only BPV2 DNA, 9 (9.6%) BPV1 and BPV2 DNA, and 2 (2.1%) only BPV1 DNA. No other PV types were detected. The predominance of BPV2 is consistent with studies of sarcoids from North America but dissimilar to studies of sarcoids from Europe and Australia. Detection rates of BPV1 and BPV2 were similar in sarcoids from different regions of New Zealand and in sarcoids from different time periods. These results suggest that most equine sarcoids in New Zealand are caused by BPV2 and thus if vaccines are developed to prevent sarcoids, vaccines that provide good protection against BPV2 will be required in this country.
Genetic Diversity And Population Structure of Indian Mustard (Brassica Juncea) Based On Morphological and Molecular Markers

Rapeseed-mustard is one of the most important oilseed crops and providing a major source of edible oil in the world besides having other economic importance like leafy vegetables, ornamentals, and hedge crops. However, the genetic diversity present in the Brassica gene pool has not been investigated in detail. To address this problem, a study was conducted on 76 genotypes of B. juncea including cultivars, exotic lines, registered genetic stocks, advanced breeding lines, and germplasm lines. The genetic diversity was analyzed with the help of 50 polymorphic SSR and EST-SSR markers. For these genotype-marker combinations, a total of 126 alleles were amplified. Using molecular and phenotypic data, the dendrogram was constructed based on Jaccard’s similarity coefficient and Manhattan dissimilarity coefficient and linkage algorithm UPGMA. All the genotypes were grouped into 5 clusters based on their dissimilarity matrix. Population structure analysis grouped the genotypes in 8 clusters and various degrees of admixture was also observed. The grouping of genotypes appears effective as per their pedigree. The marker data was found more accurate to characterize the diversity and study the population structure than the quantitative trait data. The results of the present investigation will provide useful information for the identification of important alleles for future studies and pave the way to enhance genetic gains in Indian mustard.
Executive Functions, Motor Development and Digital Games Apply to School Children: A Systematic Mapping Study

Studies show that executive functions and motor development are associated among each other and with learning ability. A more technological lifestyle, related with digital culture, should be considered an important component to stimulate children. In addition, digital games constitute an element of the digital culture in which children are inserted. The aim of this study is to present a systematic mapping of the literature involving executive functions, motor development and the use of digital games in intervention programs for elementary school children, from 6 to 11 years old. Four databases were searched: PubMed, Scielo, Science Direct and SCOPUS, including publications between 2012 and March 2021. The initial results indicated 4881 works. After the selection process, 15 investigations that presented the central theme of the study were selected. The main results indicate that intervention strategies are quite heterogeneous. Most of the studies demonstrated significant positive effects after intervention protocols and were conducted in Europe and 46% of the studies were conducted in a school environment. No researches were identified that involved technological solutions involving executive functions, motor development and digital games in an integrated manner, constituting a field of future scientific research.
RangeWeatherNet for LiDAR-only weather and road condition classification

Light detection and ranging (LiDAR) technology plays an important role in achieving higher levels of autonomous driving. These sensors, although robust in clear weather conditions, including night scenes, tend to degrade in adverse weather conditions like fog, rain and snowfall. An autonomous vehicle relying on LiDAR should be able to assess in a real-time manner its limitations and raise an alarm in such scenarios. In this paper, we present a comprehensive statistical data analysis of the effects of real-world adverse weather conditions on the properties of LiDAR point clouds. Namely, we analyze the effect on range, reflectance and resolution of objects in point clouds recorded by LiDAR in challenging weather conditions. Furthermore, based on the results of the analysis, we propose RangeWeatherNet, a lightweight deep convolutional network architecture for classification of weather and road conditions. The classification accuracy of our network outperforms the existing methods by a large margin (+11.8 %). The core network runs at 102 fps, which with the data preprocessing step, amounts to total 32 fps, which is higher than the usual LiDAR acquisition rate. To the best of our knowledge, this is the first approach that uses deep learning for classification of weather conditions on LiDAR point clouds.
Research on lifelong learning in Southeast Asia: A bibliometrics review between 1972 and 2019

Abstract Lifelong learning (LLL) is an evolving field that is expected to contribute to attaining Sustainable Development Goals in education in the 21st century. In line with this expectation, research on LLL in Southeast Asia has been promoted in recent years. The main objective of this study was to investigate the development of scientific publications on LLL in Southeast Asia. We assessed 491 articles and books published between 1972 and 2019, located in the Scopus database, using bibliometric analysis. The results illustrated the current status of LLL research in Southeast Asia and described the research topics investigated during those 47 years. Publications on LLL in Southeast Asia have grown steadily in the 21st century, especially since 2015. Besides the contributions from Anglo-American scholars, indigenous researchers have also played an essential role in developing LLL in Southeast Asia. In recent years, e-learning, education for sustainable development, and the learning society are the dominant topics that have reshaped LLL research in Southeast Asia.
Macrophages and Iron: A Special Relationship

Macrophages perform a variety of different biological functions and are known for their essential role in the immune response. In this context, a principal function is phagocytic clearance of pathogens, apoptotic and senescent cells. However, the major targets of homeostatic phagocytosis by macrophages are old/damaged red blood cells. As such, macrophages play a crucial role in iron trafficking, as they recycle the large quantity of iron obtained by hemoglobin degradation. They also seem particularly adapted to handle and store amounts of iron that would be toxic to other cell types. Here, we examine the specific and peculiar iron metabolism of macrophages.
Zinc Isotopes of the Mariana and Ryukyu Arc‐Related Lavas Reveal Recycling of Forearc Serpentinites Into the Subarc Mantle

Mantle source heterogeneity of arc‐related magmas was traditionally thought to be predominantly affected by slab‐derived components. However, the role of forearc serpentinites in causing subarc mantle heterogeneity remains poorly constrained. Here, we present the first Zn isotope data for lavas from the Mariana and Ryukyu subduction zones. Notably, the δ66Zn values of basaltic lavas from the Mariana arc (0.16–0.18‰) and southern Okinawa Trough (0.15–0.17‰) are generally lower (∼0.10‰) than those of the mid‐ocean ridge basalts (MORB) (0.27 ± 0.05‰). Since mantle melting and magmatic differentiation respectively induce heavy Zn isotope enrichment in primary and evolved magmas, while melt extraction yields the limited Zn isotope fractionation in the mantle, lavas with low δ66Zn values thus potentially indicate the addition of subducted components. The negative correlation between the δ66Zn values and the Ba/La ratios of the basaltic lavas suggests the involvement of isotopically light fluids in their mantle sources. Forearc serpentinites are typically characterized by extremely light Zn isotope compositions. Such forearc materials were likely dragged downward to subarc depths and released isotopically light Zn in fluids to modify the overlying mantle wedge, thereby producing low δ66Zn values in arc‐related magmas. Beyond subarc depths, forearc serpentinites are broken down completely, so light Zn isotope fluids are absent. Accordingly, the basalts from the middle Mariana and Okinawa Trough display MORB‐like δ66Zn values. Collectively, Zn isotope provides new insights into the role of the recycling of forearc serpentinites in generating chemical heterogeneity in the mantle source of subduction‐related magmas.
Fluid Invasion Dynamics in Porous Media With Complex Wettability and Connectivity

Multiphase flow is important for many natural and engineered processes in subsurface geoscience. Pore‐scale multiphase flow dynamics are commonly characterized by an average balance of driving forces. However, significant local variability in this balance may exist inside natural, heterogeneous porous materials, such as rocks and soils. Here, we investigate multiphase flow in heterogeneous rocks with different wetting properties using fast laboratory‐based 4D X‐ray imaging. The mixed‐wet dynamics were characterized by displacement rates that differed over orders of magnitude between directly neighboring pores. While conventional understanding predicted strongly capillary‐dominated conditions, our analysis suggests that viscous forces played a key role in these dynamics, facilitated by a complex interplay between the mixed‐wettability and the pore structure. These dynamics highlight the need for further studies on the fundamental controls on multiphase flow in geomaterials, which is crucial to design, for example, groundwater remediation and subsurface CO2 storage operations.
Circulating Omentin-1 as a Biomarker at the Intersection of Postmenopausal Breast Cancer Occurrence and Cardiometabolic Risk: An Observational Cross-Sectional Study

Abstract Aberrant circulating omentin-1, which is an anti-inflammatory and pro-apoptotic adipokine, has been reported in various solid tumors. Therefore, we investigated whether circulating omentin-1 could be associated with postmenopausal BC (PBC) and could be used as a potential diagnostic and clinical tool taking into consideration clinicopathologic features, tumor markers, as well as anthropometric, metabolic, and inflammatory parameters. Serum omentin-1, tumor markers (CA15-3 and CEA); metabolic (insulin, glucose, HOMA index, and serum lipids), anthropometric (BMI, waist circumference, and fat mass), and inflammatory (TNF-α, IL-6, hsCRP) parameters; classic adipokines (leptin and adiponectin); the Mediterranean diet (MedDiet) score; and cardiovascular (CVD) risk were determined in 103 postmenopausal women with pathologically confirmed incident invasive BC, 103 controls matched on age, 51 patients with benign breast lesions (BBL), and 50 obese postmenopausal women of similar age. The mean serum omentin-1 was significantly lower in cases than in controls and patients with BBL (p < 0.001). In the patients, omentin-1 was inversely associated with tumor, metabolic and inflammatory biomarkers, cancer stage, and the number of infiltrated lymph nodes (p < 0.05). In all study participants, omentin-1 was negatively correlated with CVD risk and positively correlated with MedDiet score. Lower circulating omentin-1 was independently associated with PBC occurrence above and beyond known risk factors. According to the ROC curve analysis, the overall diagnostic performance of omentin-1 (0.84, 95% CI 0.79–0.89) is similar to CA15-3. Circulating omentin-1 may be a biomarker at the intersection of PBC and cardiometabolic risk in postmenopausal women, and could be modulated by the adoption of a MedDiet. Further mechanistic and large multicentric prospective and longitudinal studies are required to elucidate the ontological role of omentin-1 in BC and CVD risks, as well as its diagnostic and prognostic ability and its therapeutic potential.