Miracle-dz/UniFAR-FTUs huggingface dataset:
Tightly Compacted Perovskite Laminates on Flexible Substrates via Hot-Pressing

Pressure and temperature are powerful tools applied to perovskites to achieve recrystallization. Lamination, based on recrystallization of perovskites, avoids the limitations and improves the compatibility of materials and solvents in perovskite device architectures. In this work, we demonstrate tightly compacted perovskite laminates on flexible substrates via hot-pressing and investigate the effect of hot-pressing conditions on the lamination qualities and optical properties of perovskite laminates. The optimized laminates achieved at a temperature of 90 °C and a pressure of 10 MPa could sustain a horizontal pulling pressure of 636 kPa and a vertical pulling pressure of 71 kPa. Perovskite laminates exhibit increased crystallinity and a crystallization orientation preference to the (100) direction. The optical properties of laminated perovskites are almost identical to those of pristine perovskites, and the photoluminescence quantum yield (PLQY) survives the negative impact of thermal degradation. This work demonstrates a promising approach to physically laminating perovskite films, which may accelerate the development of roll-to-roll printed perovskite devices and perovskite tandem architectures in the future.
A Semi-Supervised Rank Tracking Algorithm For On-Line Unmixing Of Hyperspectral Images

This paper addresses the problem of rank tracking in real time hyperspectral image unmixing. Based on the On-line Alternating Direction Method of Multipliers (ADMM), we propose a new hyperspectral unmixing approach that integrates prior information as well as joint sparsity regularization, allowing to select only the active components on each sample of the image. This results in a semi-supervised algorithm, well adapted for on-line rank tracking for pushbroom imager. Experimental results on synthetic and real data sets demonstrate the effectiveness of our method for parameter estimation and rank change detection.
Exploring the Effects of Cigarette Smoking on Inflammatory Bowel Disease Using Mendelian Randomization

Abstract Background Previous observational evidence has suggested an association between smoking and inflammatory bowel disease (IBD). Methods We used observational techniques followed by Mendelian randomization to explore whether smoking is a causal factor in the development of IBD and its subtypes. Results In those who have ever smoked, we observed increased risk of IBD and, in current smokers, we observed increased risk of Crohn disease and decreased risk of ulcerative colitis. However, our Mendelian randomization analyses found little evidence that smoking affects the development of IBD. Conclusion Overall, our results suggest that smoking does not causally influence the risk of IBD.
The role of the homeodomain transcription factor Pitx2 in regulating skeletal muscle precursor migration and higher order muscle assembly

approved: Chrissa Kioussi Cells of the ventrolateral dermomyotome delaminate and migrate into the limb buds where they give rise to all muscles of the limbs. The migratory cells proliferate and form myoblasts, which withdraw from the cell cycle to become terminally differentiated myocytes. The regulatory mechanisms that control the later steps of this myogenic program are not well understood. The homeodomain transcription factor Pitx2 is expressed specifically in the muscle lineage from the migration of precursors to adult muscle. Ablation of Pitx2 results in distortion, rather than loss, of limb muscle anlagen, suggesting that its function becomes critical during the colonization of, and/or fiber assembly in, the anlagen. Microarrays were used to identify changes in gene expression in flow-sorted migratory muscle precursors from Wild type and Pitx2 null mice. Changes in gene expression were observed in genes encoding cytoskeletal, adhesion and fusion proteins which play a role in cell motility and myoblast fusion. We observed decreased cellular motility, disrupted cytoskeleton organization and focal adhesion distribution, decreased fusion of mononucleated myoblasts into multinucleated myotubes and decreased proliferation in presence of Ptix2. These studies suggest that Pitx2 plays a critical role in regulating the timing of myoblast filling the limb anlagen which may have detrimental consequences for higher order muscle architecture. ©Copyright Adam L. Campbell May 31, 2012 All Rights Reserved The Role of the Homeodomain Transcription Factor Pitx2 in Regulating Skeletal Muscle Precursor Migration and Higher Order Muscle Assembly
FAKTOR-FAKTOR YANG MEMPENGARUHI PASSENGER SATISFACTION DAN PASSENGER LOYALTY PADA LAYANAN TRAVEL DI NUSA TENGGARA TIMUR

Penelitian ini bertujuan untuk menjelaskan pengaruh kualitas layanan , perceived value, perceived usefulness, dan perceived ease of use terhadap passenger satisfaction dan passenger loyalty pada layanan travel di Kupang, Nusa Tenggara Timur. Metode penelitian termasuk penelitian kuantitatif dengan jumlah sampel sebanyak 135 penumpang. Data dikumpulkan dengan menggunakan kuesioner, kemudian diolah menggunakan Partial Least Square (PLS). Temuan penelitian menunjuk­kan bahwa kualitas layanan , perceived value, perceived usefulness , dan perceived ease of use berpenga­ruh positif terhadap passenger satisfaction , serta passenger satisfaction berpengaruh positif terhadap passenger loyalty.
Comparison of Catalytic Activity of Chromium–Benzenedicarboxylate Metal–Organic Framework Based on Various Synthetic Approach

MIL-101(Cr), as a prototypical mesoporous metal–organic framework (MOF), can be facially prepared by involving different modulators to fit various demands. In this paper, a range of MIL-101(Cr) products were prepared under similar conditions. It was found that one of the additives, phenylphosphonic acid (PPOA), could give a stable hierarchical structure material. Compared to other MIL-101(Cr)s, though hierarchical MIL-101(Cr) showed less porosity, it gave a better catalytic performance in the oxidation of indene and 1-dodecene.
Can we trust remote sensing evapotranspiration products over Africa?

Abstract. Evapotranspiration (ET) is one of the most important components in the water cycle. However, there are relatively few direct measurements of ET available (e.g. using flux towers). Nevertheless, various disciplines, ranging from hydrology to agricultural and climate sciences, require information on the spatial and temporal distribution of ET at regional and global scales. Due to the limited data availability, attention has turned toward satellite-based products to fill observational gaps. Various data products, including remote sensing (RS) products, have been developed and provide a large range of ET estimations. Across Africa, only a limited number of flux towers are available; hence, they are insufficient for the systematic evaluation of the available ET products. Thus, in this study, we conduct a methodological evaluation of nine existing RS-derived ET products as well as other available ET products in order to evaluate their reliability at the basin scale. A general water balance (WB) approach is used, where ET is equal to precipitation minus discharge for long-term averages. Firstly, ET products are compared with WB-inferred ET (ET WB ) for basins that do not show long-term trends. The ET products and the calculated ET WB are then evaluated against the Budyko equation, which is used as a reference condition. The spatial characteristics of the ET products are finally assessed via the analysis of selected land cover elements across Africa: forests, irrigated areas and water bodies. Additionally, a cluster analysis is conducted to identify similarities between individual ET products. The results show that CMRSET, SSEBop and WaPOR rank highest in terms of the estimation of the long-term average mean ET across basins, with low biases and good spatial variability across Africa. GLEAM consistently ranks lowest in most evaluation criteria, although it has the longest available time period. Each product shows specific advantages and disadvantages. Depending on the study in question, at least one product should be suitable for a particular requirement. The reader should bear in mind that many products suffer from a large bias. Based on the evaluation criteria in this study, the three highest ranked products, CMRSET, SSEBop and WaPOR, would suit many users' needs due to the low biases and good spatial variability across Africa.
Evolution of the extended LHC protein superfamily in photosynthesis

Background: The extended light-harvesting complex (LHC) protein superfamily is a centerpiece of eukaryotic photosynthesis, comprising the LHC family and several families involved in photoprotection, like the early light-induced proteins (ELIPs) and the photosystem II subunit S (PSBS). The evolution of this complex superfamily has long remained elusive, partially due to previously missing families. Results: In this study we present a meticulous search for LHC-like sequences in public genome and expressed sequence tag databases covering twelve representative photosynthetic eukaryotes from the three primary lineages of plants (Plantae): glaucophytes, red algae and green plants (Viridiplantae). By introducing a coherent classification of the different protein families based on both hidden Markov model analyses and structural predictions, numerous new LHC-like sequences were identified and several new families were described, including the red lineage chlorophyll a/b -binding (CAB)-like protein (RedCAP) family from red algae and algae with complex red plastids. The testing of alternative topologies of sequences of the highly conserved chlorophyll-binding core structure of LHC and PSBS significantly supports the independent CHAPTER 1: Origins of the extended LHC protein superfamily 24 origins of LHCs and PSBS via two unrelated internal gene duplication events. This result was confirmed by the application of cluster likelihood mapping. Conclusions: The independent evolution of LHCs and PSBS is supported by strong phylogenetic evidence. In addition, a possible origin of LHC and PSBS from different members of the stressenhanced protein family, a diverse and anciently paralogous group of two-helix proteins seems likely. The new hypothesis for the evolution of the extended LHC superfamily proposed here is in agreement with our character evolution analysis that incorporates the distribution of families and subfamilies across taxonomic lineages. Intriguingly, stress-enhanced proteins, which are universally found in the genomes of green plants, red algae, glaucophytes and in diatoms with complex red plastids, could represent an important and previously missing link in the evolution of the extended LHC protein superfamily.
Enduring Effects of Infant Emotional Security on Preschooler Adaptation to Interparental Conflict

Emotional security theory illustrates the significance of children’s reactions to interparental conflict as a mediator of the associations between interparental conflict and children’s well-being. Less is known about infants’ emotional security. The current study assessed the stability of emotional security over infancy through preschool years. We also assessed whether infant emotional insecurity mediated between interparental conflict during infancy and preschooler adjustment. Seventy-four families with infants aged 6–14 months participated at Time 1. Parents engaged in a conflict resolution task with their infants present. Families returned when children were 3–5 years old (Time 2). Families engaged in the same conflict resolution task and parents additionally completed the Strengths and Difficulty Questionnaire to assess preschooler adjustment. Cluster analyses revealed two classes of infants based on conflict responses at Time 1: secure and insecure. The insecure group demonstrated higher levels of distress, frustration, physical frustration, and dysregulation compared to the secure group. These classifications remained relatively stable over Times 1 and 2. Infant emotional security mediated associations between Time 1 interparental conflict and preschooler adjustment, even when considering preschooler emotional security. Our results highlight the lasting legacy of destructive conflict on infants’ still developing security systems.
Pyrodiversity promotes interaction complementarity and population resistance

Abstract Theory predicts that network characteristics may help anticipate how populations and communities respond to extreme climatic events, but local environmental context may also influence responses to extreme events. For example, altered fire regimes in many ecosystems may significantly affect the context for how species and communities respond to changing climate. In this study, I tested whether the responses of a pollinator community to extreme drought were influenced by the surrounding diversity of fire histories (pyrodiversity) which can influence their interaction networks via changing partner availability. I found that at the community level, pyrodiverse landscapes promote functional complementarity and generalization, but did not consistently enhance functional redundancy or resistance to simulated co‐extinction cascades. Pyrodiversity instead supported flexible behaviors that enable populations to resist perturbations. Specifically, pollinators that can shift partners and network niches are better able to take advantage of the heterogeneity generated by pyrodiversity, thereby buffering pollinator populations against changes in plant abundances. These findings suggest that pyrodiversity is unlikely to improve community‐level resistance to droughts, but instead promotes population resistance and community functionality. This study provides unique evidence that resistance to extreme climatic events depends on both network properties and historical environmental context.
International Journal of Engineering

In network analysis, the community is considered as a group of nodes that is densely connected with respect to the rest of the network. Detecting the community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There are various approaches in literature for community, overlapping or disjoint, detection in networks. In recent years, many researchers have concentrated on feature learning and network embedding methods for nodes clustering. These methods map the network into a lower-dimensional representation space. In this paper, we propose a model for learning graph representation using deep neural networks. In this method, a nonlinear embedding of the original graph is fed to stacked auto-encoders for learning the model. Then an overlapping clustering algorithm is employed to extract overlapping communities. The effectiveness of the proposed model is investigated by conducting experiments on standard benchmarks and real-world datasets of varying sizes. Empirical results exhibit that the presented method outperforms some popular community detection methods. doi : 10.5829/ije.2020. 33.03c. 01
Pengendalian Serangan Ganoderma spp. (60-80%) pada Tanaman Sengon sebagai Pelindung Tanaman Kopi dan Kakao

Information about genetic variation of Ganoderma spp. As a couse of rot disease on plantation crops is necessary for consideration in efforts to protect crops. Exploration of the use of biological agents, especially Trichoderma spp. , for the control of Ganoderma on forestry crops is still limited to laboratory testing. Its effectiveness to control Trichoderma spp. To protect plants in the nursery sengon being carried out, as well as to deternime its role in improving plant growth.
Deep learning methods and applications for electrical power systems: A comprehensive review

Over the past decades, electric power systems (EPSs) have undergone an evolution from an ordinary bulk structure to intelligent flexible systems by way of advanced electronics and control technologies. Moreover, EPS has become a more complex, unstable and nonlinear structure with the integration of distributed energy resources in comparison with traditional power grids. Unlike classical approaches, physical methods, statistical approaches and computer calculation techniques are commonly used to solve EPS problems. Artificial intelligent (AI) techniques have especially been used recently in many fields. Deep neural networks have become increasingly attractive as an AI approach due to their robustness and flexibility in handling nonlinear complex relationships on large scale data sets. Major deep learning concepts addressing some problems in EPS have been reviewed in the present study by a comprehensive literature survey. The practices of deep learning and its combinations are well organized with up‐to‐date references in various fields such as load forecasting, wind and solar power forecasting, power quality disturbances detection and classifications, fault detection power system equipment, energy security, energy management and energy optimization. Furthermore, the difficulties encountered in implementation and the future trends of this method in EPS are discussed subject to the findings of current studies. It concludes that deep learning has a huge application potential on EPS, due to smart technologies integration that will increase considerably in the future.
High-efficiency and low noise planar transformers for power converters : paired layers interleaving

Nowadays, many applications, such as consumer electronics, the automotive industry, and telecoms require high power density and low height power electronics converters. To implement slim power converters, Planar Transformers (PT) have emerged, featuring low height, low leakage inductance, and low thermal resistance. Despite these benefits, PTs have large parasitic capacitance, which degrades the performance of power converters. Capacitive effects in transformers are divided into two groups: inter-winding and intra-winding capacitance. Inter-winding capacitance generates large amounts of Common-Mode (CM) noise, creating serious Electromagnetic Interference (EMI) problems. Intra-winding capacitance affects the performance of the converter and can cause loss of voltage regulation in the LLC resonant converter. The inter-winding capacitance can be reduced by separating primary and secondary windings, at the cost of increased leakage inductance and AC resistance. On the other hand, interleaved structures minimize AC resistance and leakage inductance but significantly increase the inter-winding capacitance. Therefore, there is an unfortunate trade-off in the transformer design. In order to resolve this trade-off as well as problems resulting from PTs large parasitic capacitance, this dissertation develops new design methods that target the root cause of the problem. A detailed parasitic capacitance model is developed for PTs that relate the distributed capacitance of layers to the equivalent circuit of the transformer. Based on this model, the concept of paired layers is introduced that provides criteria to achieve zero CM noise generation in PTs. Paired layers can be used to design interleaved structures that not only have low AC resistance and leakage inductance but also have almost zero CM noise generation. Multiple examples are provided for different types of windings, different turn ratios, and different topologies to show the generality of the method. The proposed method is validated using analysis, Finite Element Method (FEM), and experiments. Besides the paired layers method, this dissertation studies the detrimental effects of PTs large intrawinding capacitance on light-load voltage regulation of LLC resonant converter. It is shown that large intrawinding capacitance results in loss of voltage regulation. To resolve this, six improved winding layouts with low intra-winding capacitance are presented to maintain voltage regulation even under no-load condition. iii
Water Network Partitioning into District Metered Areas: A State-Of-The-Art Review

A water distribution network (WDN) is an indispensable element of civil infrastructure that provides fresh water for domestic use, industrial development, and fire-fighting. However, in a large and complex network, operation and management (OM and (2) sectorization procedures, which physically decompose the network by selecting pipes for installing flow meters or gate valves. We also provide an overview of emerging problems that need to be studied.
Proximate and Elemental Analyses of Banana ( Musa paradisiaca ) during the Ripening Process

The study assessed the nutritional and physicochemical changes in banana (Musa paradisiaca ) during ripening. The values for the proximate analysis (moisture, ash, protein and fat) started increasing on the 2nd day and by the 7th day of storage, the values obtained were 64.0 ± 1.92%, 1.16 ± 0.06%, 2.28 ± 0.14% and 0.78 ± 0.02% for the above mentioned parameters, respectively. There was also an increase in the reducing sugar content with time and on the 7th day of storage the value was 6.88 ± 0.28 mg/100 g. The values of the mineral elements for phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), iron (Fe) and sodium (Na) also increased gradually with time and on the 7th day of storage, the results obtained were 13.94 ± 0.42, 12.07 ± 0.60, 23.55 ± 1.41, 11.85 ± 0.36, 13.75 ± 0.55, and 6.59 ± 0.26 mg/100g for each of these elements, respectively. The vitamin C content on the 7th day of storage was 67.24 ± 4.71 mg/100 g and it was also increasing with time. However, there was a decreasing trend in the total carbohydrate and crude fibre contents during the ripening process. The values were 45.88 ± 3.21% and 1.20 ± 0.06% on day 0 and 32.20 ± 1.93% and 0.30 ± 0.02% on the 7th day of storage, respectively. Studies on the physicochemical analysis for pH and total titrable acidity also showed that they were reasonably enhanced with ripening. Ripening of banana was found to increase readily with the availability of nutrients in banana for consumption.
Access and use of agricultural market information by smallholder farmers: Measuring informational capabilities

While farmers sell their crops, middlemen provide a linkage between them, markets and buyers. Middlemen have good knowledge of working conditions of markets and have access to agricultural market information. Due to poor access to markets and agricultural market information by smallholders, there is a feeling that middlemen benefit more while farmers sell their crops. Good access to markets and market information may help farmers bypass middlemen while selling crops and thus benefit more. Thus, it is best to improve the informational capabilities (ICs) of farmers in agricultural marketing. Thus, this research measured ICs of farmers accessing market information, through a program NINAYO, while selling their crops. The research utilized the informational, psychological, social, and economic dimensions of the empowerment framework in identifying capability indicators to formulate survey questions. Data were collected from smallholders in six regions in Tanzania. The analysis utilized measures of life satisfaction and results showed that about half of the variation in the dependent variable, satisfaction with capabilities, was explained by the model. Backward elimination analysis confirmed that life satisfaction is multidimensional. Robustness test confirmed a positive relationship between satisfaction and capabilities. Overall, results confirmed ICs are multidimensions, their improvement empowers farmers in agricultural marketing.