Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Selection Criteria for the Application of Predictive Maintenance to Centrifugal Pumps

The maintenance of vehicles and components is present inmost people’s daily lives, ranging from changing a privatevehicle’s oil to the failure prediction of an aircraft componentduring flight. Usually, the manufacturer’s maintenancerecommendation is a good solution when the cost is not toohigh, and the real application is used as indicated by the manufacturer.However, this recommendation can turn unfeasiblewhen there is a significant variation in operational conditionsor high maintenance costs. In these cases, the manufacturer’ssuggestion is typically conservative, leading to unnecessarilyhigh costs. Therefore, the challenge is to find the best approachfor optimizing a component’s maintenance, given thesystem in which it is integrated and the associated operationaland environmental conditions. Nevertheless, the available informationon the loads on the component also plays a role inthat choice. This paper proposes to combine case-specific informationwith generic degradation prediction models to obtainan acceptable but also affordable approach. The objectiveis to develop data selection criteria to indicate the parametersthat have a high impact on the failure prediction, in this case,of a generic impeller pump. Subsequently, the approach deliversto the user an indication of the component remaininguseful life using different operational scenarios.
Combined Effects of Organic and Inorganic Fertilizers on Maize for Sustainable Food Supply in Semi-Arid, Nigeria

Biomass transfer using fertiliser tree species is a more sustainable means for maintaining nutrient balances in maize based production systems. This research investigated the combined effects of incorporation of leafy biomass of fertilizer trees as organic fertilizer and urea as inorganic fertiliser for sustainable food production viz-a-viz maize-based crop in semi-arid, Nigeria. The experiment was laid out as 3 x 4 x 2 factorial in a split-split plot design with three replicates. Data were analysed using Analysis of Variance (ANOVA) at p =. 05. Albizia lebbeck amended plots consistently had significantly higher values in 2014, 2015 and combined means (12.8 kg ha-1, 13 kg ha-1, 12.9 kg ha1) of cob length, (345.8 kg ha-1, 311.8 kg ha-1, 328.8 kg ha-1) of grains per cob and grain yield (2097.3 kg ha-1, 1667.7 kg ha-1, 1881.9 kg ha-1) throughout the cropping seasons and combinedeffect respectively compared to Parkia biglobosa. Positive significant correlation was experienced between the growth and yield components. Inclusion of nitrogen fertilizer and fertilizer trees improved the production of these maize varieties compared to control. It is therefore concluded that incorporation of Albizia lebbeck with up to 40 kg N ha-1 rate of nitrogen fertilizer into the soilimproved its quality for better yield of both 2009 EVAT and DMR-ESR-7 maize varieties.
Designing A Model of Medical Equipment Purchase Management in Hospitals of Tehran University of Medical Sciences

Objective: Medical equipment plays an effective and vital role in the diagnosis and treatment of diseases. Each society dedicates a plethora of health resources to these facilities. Since prioritizing and resource allocation are crucial in low-income countries with limited health resources, understanding and improving the purchase management of medical equipment in hospitals is a primary key for preparing high-quality health services. The aim of this study was to design a model for medical equipment purchase management at hospitals affiliated with the Tehran University of Medical Sciences. Methods: The statistical population for the present applied study, consisted of 623 people and the research sample was comprised of 420 people, which was selected using the stratified random sampling method. Data was collected using a researcher-made questionnaire whose variables were extracted from comparative studies and whose validity was measured by the relative content validity coefficient, content validity index and Cronbach's alpha coefficient. The SPSS 18 and AMOS were employed for analyses. Results: The most and the least effective aspects of medical equipment purchase management in the studied hospitals were found to be decision-making (path coefficient of 1.244) and organization respectively (path coefficient of 0. 845). Conclusion: It is crucial to take factors into consideration when using the facilities and capacities available in health and treatment centres. The proposed model can best guide buyer institutions to move towards efficient purchase mentioned in upstream policy documents.
The Influence of Incubator and Accelerator Participation on Nanotechnology Venture Success

This study investigates how venture development programs such as private incubators, university incubators, and accelerators influence the success of participating nanotechnology startups. With the recent growth in such programs, empirical work is needed to compare their impact on participants across programs and with nonparticipants. Using data on firm bankruptcies, liquidation, government grants, and venture capital, we find benefits, but the influence of each venture development program varies greatly. We further investigate the influence of program services and resources to clarify program heterogeneity beyond existing typologies. The results clarify the role of these programs and ecosystem intermediaries.
Effect of Vanadium Reinforcement on the Microstructure and Mechanical Properties of Magnesium Matrix Composites

In this work, vanadium particles (VP) were utilized as a novel reinforcement of AZ31 magnesium (Mg) alloy. The nanocrystalline (NC) AZ31–VP composites were prepared via mechanical milling (MM) and vacuum hot-press sintering. During the milling process, the presence of VP contributed to the cold welding and fracture mechanism, resulting in the acceleration of the milling process. Additionally, increasing the VP content accelerated the grain refinement of the matrix during the milling process. After milling for 90 h, the average grain size of AZ31-X wt % Vp (X = 5, 7.5, 10) was refined to only about 23 nm, 19 nm and 16 nm, respectively. In the meantime, VP was refined to sub-micron scale and distributed uniformly in the matrix, exhibiting excellent interfacial bonding with the matrix. After the sintering process, the average grain size of AZ31-X wt % VP (X = 5, 7.5, 10) composites still remained at the NC scale, which was mainly caused by the pinning effect of VP. Besides that, the porosity of the sintered composites was no more than 7.8%, indicating a good densification effect. As a result, there was little difference between the theoretical and real density. Compared to as-cast AZ31 Mg alloy, the microhardness of sintered AZ31-X wt % VP (X = 5, 7.5, 10) composites increased by 65%, 87% and 96%, respectively, owing to the strengthening mechanisms of grain refinement strengthening, Orowan strengthening and load-bearing effects.
Obesity and the Latissimus Dorsi Flap: A Radiologic Study

Introduction: The increasing prevalence of obesity in patients with breast cancer has prompted a reappraisal of the role of the latissimus dorsi flap (LDF) in breast reconstruction. Although the reliability of this flap in obese patients is well-documented, it is unclear whether sufficient volume can be achieved through a purely autologous reconstruction (eg, extended harvest of the subfascial fat layer). Additionally, the traditional combined autologous and prosthetic approach (LDF + expander/implant) is subject to increased implant-related complication rates related to flap thickness in obese patients. The purpose of this study is to provide data on the thicknesses of the various components of the latissimus flap and discuss the implications for breast reconstruction in patients with increasing body mass index (BMI). Methods: Measurements of back thickness in the usual donor site area of an LDF were obtained in 518 patients undergoing prone computed tomography–guided lung biopsies. Thicknesses of the soft tissue overall and of individual layers (e.g., muscle, subfascial fat) were obtained. Patient, demographics including age, gender, and BMI were obtained. Results: A range of BMI from 15.7 to 65.7 was observed. In females, total back thickness (skin, fat, muscle) ranged from 0.6 to 9.4 cm. Every 1-point increase in BMI resulted in an increase of flap thickness by 1.11 mm (adjusted R 2 of 0.682, P < .001) and an increase in the thickness of the subfascial fat layer by 0.513 mm (adjusted R 2 of 0.553, P < .001). Mean total thicknesses for each weight category were 1.0, 1.7, 2.4, 3.0, 3.6, and 4.5 cm in underweight, normal weight, overweight, and class I, II, III obese individuals, respectively. The average contribution of the subfascial fat layer to flap thickness was 8.2 mm (32%) overall and 3.4 mm (21%), 6.7 mm (29%), 9.0 mm (30%), 11.1 mm (32%), and 15.6 mm (35%) in normal weight, overweight, class I, II, III obese individuals, respectively. Conclusion: The above findings demonstrate that the thickness of the LDF overall and of the subfascial layer closely correlated with BMI. The contribution of the subfascial layer to overall flap thickness tends to increase as a percentage of overall flap thickness with increasing BMI, which is favourable for extended LDF harvests. Because this layer cannot be separated from overall thickness on examination, these results are useful in estimating the amount of additional volume obtained from an extended latissimus harvest technique.
Emotion Enhances Memory for the Sequential Unfolding of a Naturalistic Experience

The events of our lives unfold across time. When remembering these events, we often reference information about when they occurred and their sequential unfolding. How does emotion affect our ability to reconstruct in memory the elements of an event in the correct temporal order? The present study explored this question using naturalistic stimuli. Human participants (N = 276) saw movie clips that varied in emotion (high versus low). Later, participants were asked to reconstruct the events in the order they encoded them. Participants’ temporal-order memory was better in the high- versus low-emotion condition. Analysis of free-recall data showed that participants remembered the high-emotion clip with greater vividness, yet the consistency of details did not differ between conditions. Our findings shed novel light on the multifaceted effects of emotion on memory, suggesting that highly emotional events can be reconstructed with greater temporal fidelity. These findings have both theoretical and practical implications.
Eulerian Two‐Phase Model Reveals the Importance of Wave Period in Ripple Evolution and Equilibrium Geometry

The evolution of ripple geometries and their equilibrium states due to different wave forcing parameters are investigated by a Reynolds‐averaged two‐phase model, SedFoam, in a two‐dimensional domain. Modeled ripple geometries, for a given uniform grain diameter, show a good agreement with ripple predictors that include the wave period effect explicitly, in addition to the wave orbital excursion length (or wave orbital velocity amplitude). Furthermore, using a series of numerical experiments, the ripple's response to a step‐change in the wave forcing is studied. The model is capable of simulating “splitting,” “sliding,” “merging,” and “protruding” as the ripples evolve to a new equilibrium state. The model can also simulate the transition to sheet flow in energetic wave conditions and ripple reformation from a nearly flat bed condition. Simulation results reveal that the equilibrium state is such that the “primary” vortices reach half of the ripple length. Furthermore, an analysis of the suspended load and near‐bed load ratio in the equilibrium state indicates that in the orbital ripple regime, the near‐bed load is dominant while the suspended load is conducive to the ripple decaying regime (suborbital ripples) and sheet flow condition.
Diversity, host specificity and biogeography in the Cladocorynidae (Hydrozoa, Capitata), with description of a new genus

The hydrozoan family Cladocorynidae inhabits tropical to temperate waters and comprises the two genera Pteroclava and Cladocoryne. Pteroclava lives in association with some octocorals and hydrozoans, whereas Cladocoryne is more generalist in terms of substrate choice. This work provides a thorough morpho‐molecular reassessment of the Cladocorynidae by presenting the first well‐supported phylogeny of the family based on the analyses of three mitochondrial and four nuclear markers. Notably, the two nominal genera were confirmed to be monophyletic and both morphological and genetic data led to the formal description of a new genus exclusively associated with octocorals, Pseudozanclea gen. nov. Maggioni & Montano. Accordingly, the diagnosis of the family was updated. The ancestral state reconstruction of selected characters revealed that the symbiosis with octocorals likely appeared in the most recent common ancestor of Pteroclava and Pseudozanclea. Additionally, the presence of euryteles aggregation in the polyp stage and the exumbrellar nematocyst pouches with euryteles represent synapomorphies of all cladocorynid taxa and probably emerged in their most recent common ancestor. The analysis of several Pteroclava krempfi colonies from Indo‐Pacific and Caribbean localities associated with several host octocorals revealed a high intra‐specific genetic variability. Single‐ and multi‐locus species delimitations resulted in three to five species hypotheses, but the statistical analysis of morphometric data showed only limited distinction among the clades of P. krempfi. However, P. krempfi clades showed differences in both host specificity, mostly at the octocoral family level, and geographic distribution, with one clade found exclusively in the Caribbean Sea and the others found in the Indo‐Pacific.
Mineralogy and Texture of the Weathered Products from Silicic Lavas in the Sabga Area, North West Cameroon

Products of weathering usually clay minerals, are commonly characterized through mineralogical, chemical and geochemical analysis, emphasizing their implications in industrial applications, initiation of landslides and their impact on surface water geochemistry. In this study the vertical variations in textural characteristics and clay mineral type within weathered profiles in the Sabga area were investigated. Two exposed weathered profiles were logged from bed rock to topsoil and each horizon was sampled separately. Granulometric analysis on the samples indicated mixtures of clay, silt and sand size particles in all horizons. Smectite and kaolinite were identified by X-ray diffractometry (XRD) and scanning electron microscopy (SEM). The two logs show that the lower horizons display whitish colors with fine laminations, middle horizons are brownish and the upper horizons display dark brown colors. Graphic mean values for both sections gave values that range between 2.02 - 3.7f with an average standard deviation value of 1.9f, indicating that the grains are poorly sorted sand, silt and clay. SEM micrographs show laths of smectite in the lower horizons, flakes of kaolinite and laths of smectites in the middle horizons while the upper horizons show flakes of kaolinite with microlites of quartz + feldspars. XRD patterns show broad basal reflections for kaolinite at 2θ 36.8° (3.15 ? ), smectite at 2θ 33.5° (3.34 ? ), both contaminated with quartz at 2θ 36.5° (3.32 ? ) typical for these minerals.
The Allocation of Committee Chairs and the Oversight of Coalition Cabinets in Belgium

Abstract The appointment of committee chairs to monitor the actions of ministers belonging to coalition partners has received considerably less attention than other mechanisms of policing the coalition agreement at executive or legislative level. We take a longitudinal perspective focusing on 11 Belgian cabinets (1980–2018) to study the determinants of such appointments and whether there is a substitution effect between shadow chairs, junior ministers and coalition agreements. Our findings indicate that the probability of appointing a shadow committee chair is higher when the ideological distance between the minister's party and the coalition is larger. Other key findings are that ministers facing hostile junior ministers tend to be shadowed by committee chairs as well, while shadow chairs are also more frequent in minimum winning coalitions.
Lignocellulose biodegradation in the biodrying process of sewage sludge and sawdust

ABSTRACT Lignocellulose degradation is important when applying biodrying treatment to sewage sludge intended for land use. This study investigated the lignocellulose degradation in the biodrying of sewage sludge and sawdust. The experiment analyzed lignocellulose content, lignocellulase activity, humic substances, and fungal communities. After biodrying, lignin, cellulose, and hemicellulose degradation rates were 48.4, 38.8, and 45.0%, respectively. Carboxymethyl cellulase, lignin peroxidase, and xylanase played key roles. During the thermophilic phase, more than 80% of the microorganisms in the sample contributing to lignocellulose degradation were Ascomycota. The lignocellulose degradation and a rate of increase in humic acid/fulvic acid of 380% benefit land use of biodrying product.
Assessment of durum wheat (Triticum durum Desf.) genotypes based on their agro-physiological characteristics and stress tolerance indices

The present study aimed to investigate the extent of variability and relationships between grain yield and morpho-physiological durum wheat traits. Sufficient variability was observed for most characters. Based on stress indices, either widely or specifically, adapted lines were identified. Path analysis pointed out to above ground biomass, harvest index, spike fertility and spike number as yield determinants, suggesting that these traits are of interest in the breeding program. The measured traits were classified within 6 principal components accounting for 79.45 % of the total variation. Breeding lines dispersed along first principal component exhibited substantial differences in performance and stress tolerance abilities. Cluster C3 lines were high yielding and stress tolerant. From this cluster, lines L24 and L14 were scored as the best for 7 and 5 traits out of 17 characters, respectively. Both lines are proposed for release and as parents in crosses to take advantage of their desirable characteristics. The results indicated that physiological traits were unrelated to each other and to morphological traits making difficult the concomitant selection for yield and stress tolerance driven by these traits. Complexes crosses, between parents carefully chosen for these specific characteristics, are necessary to enhance favorable genetic linkage and to generate new basic segregating populations with high genetic variability for these traits.
On the Reliability Assessment of Artificial Neural Networks Running on AI-Oriented MPSoCs

Nowadays, the usage of electronic devices running artificial neural networks (ANNs)-based applications is spreading in our everyday life. Due to their outstanding computational capabilities, ANNs have become appealing solutions for safety-critical systems as well. Frequently, they are considered intrinsically robust and fault tolerant for being brain-inspired and redundant computing models. However, when ANNs are deployed on resource-constrained hardware devices, single physical faults may compromise the activity of multiple neurons. Therefore, it is crucial to assess the reliability of the entire neural computing system, including both the software and the hardware components. This article systematically addresses reliability concerns for ANNs running on multiprocessor system-on-a-chips (MPSoCs). It presents a methodology to assign resilience scores to individual neurons and, based on that, schedule the workload of an ANN on the target MPSoC so that critical neurons are neatly distributed among the available processing elements. This reliability-oriented methodology exploits an integer linear programming solver to find the optimal solution. Experimental results are given for three different convolutional neural networks trained on MNIST, SVHN, and CIFAR-10. We carried out a comprehensive assessment on an open-source artificial intelligence-based RISC-V MPSoC. The results show the reliability improvements of the proposed methodology against the traditional scheduling.
Circulating microRNA-7 regulates insulin, inflammatory and GnRH signaling pathways by targeting IRS1, IRS2, and RAF1 genes in gestational diabetes mellitus

Aims/hypothesisSmall non-coding micro RNAs (miRNAs) are indicated in various metabolic processes and play a critical role in disease pathology, including gestational diabetes mellitus (GDM). The purpose of this study was to examine the altered expression of miRNAs and their target genes in placental tissue (PL), cord blood (CB), and maternal blood (MB) of matched non-glucose tolerant (NGT) and GDM mother. MethodsIn a case-control study, micro-RNA was quantified from forty-five serum (MB n = 15, CB n = 15, and PL n = 15) and matched placental tissue using stem-loop RT-qPCR followed by target prediction, network construction and functional and pathways enrichment analysis. Further, target genes were verified in-vitro through transfection and RT-qPCR. ResultsFive miRNAs, namely hsa-let 7a-5P, hsa-miR7-5P, hsa-miR9-5P, hsa-miR18a-5P, and hsa-miR23a-3P, were significantly over-expressed (p < 0.05) in all three samples namely PL, CB, and MB of GDM patients. However, the sample-wise comparison reveals higher expression of miRNA 7 in MB while lowest in CB than control. Furthermore, a comparison of fold change expression of target genes discloses a lower expression of IRS1, IRS2, and RAF1 in MB while comparatively higher expression of NRAS in MB and CB. In-vitro validation reveals lower expression of IRS1/2 and RAF1 in response to overexpression of miR-7 and vice-versa. Thus it is evident that increased miRNA7 expression causes down-regulation of its target genes IRS1, IRS2, and RAF1 in GDM mother compared to control. Further, target prediction, pathway enrichment, and hormone analysis (significantly higher FSH & LH in MB of GDM compared to NGT) revealed the insulin signaling, inflammatory and GnRH signaling as major pathways regulated by miRNA7. Conclusions/InterpretationsThus, an elevated level of miRNA7 may be associated with the progression of GDM by altering the multiple pathways like insulin, GnRH, and inflammatory signaling pathways via targeting IRS1, IRS2, and RAF1, implicating a new therapeutic target for GDM.
Knowledge Management and Sustainable Balanced Scorecard: Practical Application to a Service SME

Many works highlight the importance and added value of Corporate Social Responsibility (CSR) in companies, as well as the role of Knowledge Management (KM) for their revitalization, but even more important is to ensure that all efforts and resources are aligned with the organization’s strategic objectives (Balanced Scorecard, BSC). The aim of this work is to integrate BSC, CSR and KM based on the results of two previous researches: one on BSC–CSR and the other on KM, both of a projective nature (description-action-contrast). The research carried out has made it possible to identify 45 KM indicators, 102 CSR indicators and their corresponding correlations with the strategic objectives and perspectives of the BSC. In addition, an Excel tool was designed and developed for SMEs that is customizable, intuitive and useful for decision-making, which allowed us to contrast the obtained results.