Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile Business Models and Value Networks

Business models and value networks have become buzzwords in strategic management and technology management fields. In particular, both constructs have been extensively applied to the analysis of rapidly changing and highly innovative telecommunications industry, yet there is no consensus on precisely what they represent or how to operationalize them. This entry reviews the literature on business models and value networks and presents examples of applications within the telecommunications industry. A working definition that integrates both concepts is suggested.
Log evaluation of oil-bearing igneous rocks

The evaluation of porosity, water saturation and clay content of oilbearing igneous rocks with well logs is difficult due to the mineralogical complexity of this type of rocks. The log responses to rhyolite and rhyolite tuff; andesite, dacite and zeolite tuff; diabase and basalt have been studied from examples in western Argentina and compared with values observed in other countries. Several field examples show how these log responses can be used in a complex lithology program to make a complete evaluation.
Preparing Pharmacists for The Era of AI-driven Pharmacological Sciences: An Opinion Article

Due to its rapid development, artificial intelligence (AI) has gained a lot of popularity in many sectors, including pharmacological sciences. In pharmacological sciences, AI has been applied in various areas, from AI-driven drug discovery and genomic sequencing to the development of personalized medicine. Subsequently, the need for pharmacists with adequate AI-related skills and knowledge increases. However, the current traditional curriculum of pharmacy education does not cover AI courses. To elaborate on the current developments in AI-driven pharmacology and present the discussion of the possibility of whether AI-related courses should be included in the current curriculum. We have gathered 32 references on AI-driven pharmacological applications, pharmacy curricula, and the future trends of pharmacological sciences. The literature is obtained from online databases such as Scopus, PubMed, IEEE, and Google Scholar. Based on the literature reviews, we presented the discussion and scientific-based opinion on the need for AI-related courses in the school of pharmacy. We believe that AI will be the basis of future pharmacological development. Hence, we consider that it is the right time to include AI-related courses in the student's curriculum to prepare future-proof pharmacists.
Low temperature charge transport study of MWCNT/PEDOT:PSS composites: insulating to metallic regime

Multiwall carbon nanotube (MWCNT)/poly(3,4-ethylene dioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) composites have been examined for their temperature and magnetic field dependent conductivity behavior. The conductivity ratio, σ r (σ 300 K/ σ 2 K), is significantly impacted by the sulfuric acid post-treatment of the composites and a slight alteration in MWCNTs loading. By adjusting the loading of MWCNTs in the composites, the charge transport is tuned from insulating to metallic regime. For the low loading of MWCNTs (0.04 wt%), charge transport of the composite lies in the insulating regime and follows a variable range hopping model. At moderate loading of MWCNTs, the transport of the composites lies in the critical regime and the temperature dependent conductivity follows a power law model. As the MWCNTs loading increases to 4 wt%, transport of the composites shifts to the metallic regime with σ r ∼ 2.8. The temperature dependent conductivity has been explained by using electron-electron interactions and weak localization effects and the conductivity follows ∼T 1/2 and ∼T 3/4 dependence in different temperature regimes. Wave function shrinkage and forward interference effects have been used to evaluate the magnetoconductance (MC) of the samples located in the insulating regime. For the composites lying in the metallic regime, a dominant contribution from weak localization explains the behaviour of the MC. However, for those in the critical regime a combined effect of weak localization and electron-electron interactions has been observed.
Hydrochemical characterization of water in Santa Rosa community, southern Ecuador.

– This study aims to evaluate the quality of surface water, groundwater and tap water through the analysis of physicochemical parameters and hydrochemical composition. For this purpose, surface water, tap water and groundwater samples were collected. The sampling was carried out in the dry season (November 2022). Physicochemical parameters included pH, electrical conductivity, temperature, and total dissolved solids, and the major ions included HCO 3– , SO 42– , C l – , NO 3– , C a 2+ , M g 2+ , N a + and K + . The results indicated acid conditions in 25% of the surface water samples, mainly in mining environments. Surface waters are dominantly of HCO 3- - SO 42- - Ca 2+ type, while the prevailing facies of tap waters are of HCO 3- - Ca 2+ . The dominant ions in groundwater samples are Cl – - Na + - K. The spatial distribution of the major ions showed a higher amount of SO 42-in the mining areas and two streams Los Gringos and El Panteon, while the dominant ion along the Santa Rosa River course was HCO 3. The high Cl – contents in groundwater in the Santa Rosa urban zone may be related to anthropogenic pollution. These results evidence the need to implement monitoring and control strategies of the human in the Santa Rosa city to guarantee the quality of the water and therefore the safety of its consumers within the Santa Rosa cantony.
What determines Tanzania's trade? A gravity approach

Based on the gravity model, this study examines the determinants of trade flows between Tanzania and its trading partners and attempts to predict the country's trade potential. Using a panel dataset of Tanzania's trade flows of 100 countries from 2000 to 2016, this study finds that the results are consistent with the predictions of the gravity model, with positive and negative coefficients for gross domestic product and distance, respectively. The predicted trade potential reveals that neighboring countries and some middle and superpowers have significant trade potential. Considering the important contribution of trade to economic growth and notwithstanding Tanzania's active membership in regional economic communities, such as the East African Cooperation, Southern African Development Cooperation, and the anticipated engagement in the African Continental Free Trade Agreement, this study provides policy recommendations to reduce trade barriers and diversify production to promote intra-African trade and enhance trade with the rest of the world.
Exploring the Binding Affinity of the ARR2 GARP DNA Binding Domain via Comparative Methods

Plants have evolved signaling mechanisms such as the multi-step phosphorelay (MSP) to respond to different internal and external stimuli. MSP responses often result in gene transcription regulation that is modulated through transcription factors such as B-type Arabidopsis response regulator (ARR) proteins. Among these proteins, ARR2 is a key component that is expressed ubiquitously and is involved in many aspects of plant development. Although it has been noted that B-type ARRs bind to their cognate genes through a DNA-binding domain termed the GARP domain, little is known about the structure and function of this type of DNA-binding domain; thus, how ARRs bind to DNA at a structural level is still poorly understood. In order to understand how the MSP functions in planta, it is crucial to unravel both the kinetics as well as the structural identity of the components involved in such interactions. For this reason, this work focusses on resolving how the GARP domain of ARR2 (GARP2) binds to the promoter region of ARR5, one of its native target genes in cytokinin signaling. We have established that GARP2 specifically binds to the ARR5 promoter with three different bi-molecular interaction systems—qDPI-ELISA, FCS, and MST—and we also determined the KD of this interaction. In addition, structural modeling of the GARP2 domain confirms that GARP2 entails a HTH motif, and that protein–DNA interaction most likely occurs via the α3-helix and the N-terminal arm of this domain since mutations in this region hinder ARR2’s ability to activate transcription.
Stark and Kerr Effects on the Dynamics of Moving N-Level Atomic System

We have investigated numerically the dynamics of quantum Fisher information (QFI) and quantum entanglement (QE) for N-level atomic system interacting with a coherent field in the presence of Kerr (linear and non-linear medium) and Stark effects. It is observed that the Stark and Kerr effects play a prominent role during the time evolution of the quantum system. The evolving quantum Fisher information (QFI) is noted as time grows under the non-linear Kerr medium contrary to the QE for higher dimensional systems. The effect of non-linear Kerr medium is greater on the QE as we increase the value of Kerr parameter. However, QFI and QE maintain their periodic nature under atomic motion. On the other hand, linear Kerr medium has no prominent effects on the dynamics of N-level atomic system. Furthermore, it has been observed that QFI and QE decay soon under the influence of Stark effect. In short, the N-level atomic system is found prone to the change of the Kerr medium and Stark effect for higher dimensional systems.
Lean Logistic and Supplier Relationship Management to reduce stockouts in a Graphic Industry

— The publishing sector in recent years experienced problems in the supply of its main raw material due to its scarcity, paper, considerably affecting production and meeting market demand, generating losses for SMEs in the sector. Based on this, reducing the levels of raw material stock breakage was essential to be able to meet customer demand. Therefore, this research has as its main objective to improve the rate of stock breakage of raw material in a publisher, which is currently 22%, being higher than that of the sector which amounts to 12%. In this sense, a model based on the Lean Logistic and SRM methodology is proposed, applying a demand-based planning system (DDMRP), supplier relationship management (SRM) and standardized work. The application of the model manages to reduce by 16.04% the rate of breakage of raw material stock.
Evaluation of the impact of the main parameters affecting energy performance in bifacial photovoltaic modules in a tropical location.

-Currently, photovoltaic solar energy faces the challenge of reducing the levelized cost of energy (LCOE) to compete with conventional energy sources and given the growth that bifacial technology has had in recent years and the complexity associated with estimating energy performance with respect to its monofacial counterpart. This research focuses on evaluating and comparing the energy performance of bifacial technology with respect to monofacial technology according to 4 main parameters of affectation: 1) inclination, 2) pitch, 3) albedo and 4) height from the ground, in a tropical location, using the specialized software PVsyst. The results show that the bifacial energy gain can vary according to the parameter of affectation: between 2.4% and 19.2% depending on the albedo; up to 7.44% depending on the distance between sheds or 6.1% for their height from the ground, and even not generate a bifacial gain by modifying the angle of inclination of bifacial photovoltaic modules.
On truth and polarity in negation processing: language-specific effects in non-linguistic contexts

Introduction This study examines how negation is processed in a nonverbal context (e.g., when assessing ▲ ≠ ▲) by speakers of a truth-based system like Mandarin and a polarity-based system like English. In a truth-based system, negation may take longer to process because it is typically attached to the negation as a whole (it is not true that triangle does not equal triangle), whereas in polarity-based systems, negation is processed relatively faster because it is attached to just the equation symbol (triangle does not equal triangle), which is processed relatively faster. Our hypothesis was that negation processing routines previously observed for verbal contexts, namely that speakers of Mandarin get slowed down more when processing negative stimuli than positive stimuli compared to speakers of English, also extend to contexts when language use is not obligatory. Methods To test this, we asked participants to agree/disagree with equations comprising simple shapes and positive ‘=’ or negative ‘≠’ equation symbols. English speakers showed a response-time advantage over Mandarin speakers in negation conditions. In a separate experiment, we also tested the contribution of equation symbols ‘≠’/‘=’ to the cognitive demands by asking participants to judge shape sameness in symbol-free trials, such as ▲ ■. This comparison allowed us to test whether crosslinguistic differences arise not because of shape congruence judgement but arguably due to negation attachment. Results and discussion The effect of the ‘≠’ symbol on shape congruence was language-specific, speeding up English speakers but slowing down Mandarin speakers when the two shapes differed. These findings suggest language-specific processing of negation in negative equations, interpreted as novel support for linguistic relativity.
Understanding epistasis in linkage analysis : the Kap and lks2 loci in the Oregon Wolfe Barley poputlation

An organisms' genotype may not be reflected in its phenotype. For example, epistasis the interaction of non-allelic genes can cause deviations from expected phenotypic ratios. The epistatic interaction between the hooded (Kap) and short-awned (lks2) loci in barley (Hordeum vulgare) precludes the localization of the Kap locus, based on phenotypic data, when alleles at both loci are segregating. In individuals that are homozygous for the recessive allele of lks2, the expression of the hooded phenotype is masked, resulting in the expression of the short-awned, rather than the hooded, phenotype. Two strategies were employed to determine the location of the Kap locus in an experimental population of barley, the Oregon Wolfe Barleys, and to determine the Kap locus genotype of a doubled haploid line in the population. The first strategy capitalized on the availability of molecular marker data in the population and involved inferring the Kap locus genotypes of the short-awned individuals based on the genotypes from flanking DNA markers. The second strategy confirmed the predicted genotypes by mapping a barley homeobox gene (hvknox3) believed to represent the hooded (Kap) locus. The hvknox3 locus mapped to BIN 4 of barley chromosome 4 (4H), which is the reported map position of the Kap locus. The Kap-predict and hvknox3 genotypes were compared and found to be the same, except for OWB line 52. To test the alternative hypotheses regarding the Kap genotype of OWB 52, this line was crossed with a known dominant hooded line, OWB 62. Putative F 1's were checked with hvknox3 primers and true F1 heterozygotes were allowed to self-pollinate and to produce seed. F2 seed were planted and the phenotypic assessment of the F2 population will be completed by August 2000.
Factors influencing the green purchase intention among consumers: An empirical study in Algeria

The main objective of the study is to investigate factors influencing the green purchase intention of Algerian consumers using the Theory of Planned Behavior (TPB). Furthermore, it aims to examine the impacts of subjective norms, consumer attitude, environmental knowledge, and green label variable to the consumer purchase intention. The authors proposed the model of TPB that combines three constructs namely attitude, subjective norms, and perceived behavioral control. The subjective norms and consumer attitude variables were directly adopted from the TPB Model. In addition, environmental knowledge and green label variables were added based on the review of the literature. The study was conducted based on the quantitative approach, with data collected through a self-administrated questionnaire that resulted in 350 responses of Algerian consumers from Algiers town. The empirical findings of this study supported only three hypotheses and did not find evidence to support one. Subjective norms, environmental knowledge, and green label variables positively and significantly influenced the green purchase intention, whereas the consumer attitude did not show any significant influence on Algerian consumers’ purchase intention. In conclusion, green label and environmental knowledge were resulted to be the most influential factors that impact the green purchase intention of Algerian consumers. The findings from this study can improve the forthcoming research in related topics and help the marketers develop their Algerian marketing strategies.
Vehicular Crowdsensing Inference and Prediction With Multi Training Graph Transformer Networks

Vehicular crowdsensing has emerged as a prominent sensing paradigm in the Internet of Things (IoT), and its powerful sensing and computing capabilities can provide sufficient data for various applications. To reduce the cost while ensuring the sensing quality, sparse mobile crowdsensing has been proposed, which only requires data from some sensing areas and utilizes spatiotemporal correlation to infer data for other unsensed areas. In real vehicular crowdsensing scenarios, not only the current period sensing data is required to be inferred but also the prediction of the future whole sensing map is of great significance. In this article, we propose multitask pretraining graph transformer networks (MT-PTGTN) that incorporate graph neural networks (GNNs) and transformer to support both data inference and prediction for vehicular crowdsensing. Comprehensively considering the surface and underlying patterns among the sensing grids, MT-PTGTN utilizes pre-training topological mining GNNs and graph attention networks to model two patterns, respectively, which contributes to improving inference accuracy. The transformer with the multilayer attention mechanism is incorporated to capture the temporal correlation of the sensing data and predict the future complete sensing map. Furthermore, to prevent the error propagation from the inference task to the subsequent prediction task, we propose a dynamic multi-task learning framework that dynamically adjusts the weights of tasks during training. The experimental evaluation on the real-world dataset demonstrates the superiority of MT-PTGTN in data inference and prediction.
Lightweight CNN-Based Driver Eye Status Surveillance for Smart Vehicles

Traffic accidents are the leading death rate among accident categories. One of the major causes of road traffic accidents is driver drowsiness. Many studies have paid attention to this issue and developed driver assistance tools to reduce the risk. These methods mainly analyze driver behavior, vehicle behavior, and driver physiology. This article proposes a driver eye status surveillance system based on lightweight convolutional neural networks (CNNs). The overall system consists of the following three stages: Face detection, eye detection, and eye classification. In the first stage, the system utilizes a small real-time face detector, named nano YOLO5Face. The second stage focuses on exploiting the compact CNN network architecture combined with the inception network, and triplet attention mechanism. Finally, the system uses a simple classification network architecture to classify open or closed eye status. Additionally, this work also provides the datasets for the eye detection task comprised of 10 659 images and 21 318 labels. As a result, the real-time testing reached 33.12 frames per second (FPS) and 25.11 FPS on an Intel Core I7-4770 CPU @ 3.40 GHz [personal computer (PC)] and a 128-core Nvidia Maxwell GPU (Jetson Nano device), respectively.
Exploring the Opportunities for Divergence in Heterogeneous Environmnets in the Tropical Andes.

Understanding the causes behind the pervasive association between diversity and environmental heterogeneity is critical to answering the long-standing question of why species diversity is unevenly distributed on Earth. However, the complex interactions involved and the infeasibility of empirical investigations call for correlative approaches focused on disentangling the confounding patterns that form part of this general association. Here we present such an approach that couples analyses on species and phylogenetic diversity with spatially-explicit association analyses across regions with different degrees of spatial and temporal environmental heterogeneity. Applying this approach to investigate the pattern of covariation between both components of diversity and meso-scale spatial and temporal heterogeneity, we demonstrate how it can be used to elucidate alternative plausible mechanisms, assess the particular contexts under which different mechanisms might be prevalent, and guide future research. Specifically, we explore the likelihood of different evolutionary hypotheses based on contrasting patterns of species and phylogenetic diversity of small terrestrial mammals in continental Ecuador. The results indicate that species and phylogenetic diversity are spatially uncoupled from each other and that although environmental heterogeneity is a strong predictor of both components of diversity, the corresponding associations differ. These findings point toward an important role of high spatial and low temporal heterogeneity in promoting disruptive selection, environmental specialization, and isolation in this mountain system. Future research will be needed on
Pharmacological Prevention of Ectopic Erythrophagocytosis by Cilostazol Mitigates Ferroptosis in NASH

Hepatic iron overload (HIO) is a hallmark of nonalcoholic fatty liver disease (NAFLD) with a poor prognosis. Recently, the role of hepatic erythrophagocytosis in NAFLD is emerging as a cause of HIO. We undertook various assays using human NAFLD patient pathology samples and an in vivo nonalcoholic steatohepatitis (NASH) mouse model named STAMTM. To make the in vitro conditions comparable to those of the in vivo NASH model, red blood cells (RBCs) and platelets were suspended and subjected to metabolic and inflammatory stresses. An insert-coculture system, in which activated THP-1 cells and RBCs are separated from HepG2 cells by a porous membrane, was also employed. Through various analyses in this study, the effect of cilostazol was examined. The NAFLD activity score, including steatosis, ballooning degeneration, inflammation, and fibrosis, was increased in STAMTM mice. Importantly, hemolysis occurred in the serum of STAMTM mice. Although cilostazol did not improve lipid or glucose profiles, it ameliorated hepatic steatosis and inflammation in STAMTM mice. Platelets (PLTs) played an important role in increasing erythrophagocytosis in the NASH liver. Upregulated erythrophagocytosis drives cells into ferroptosis, resulting in liver cell death. Cilostazol inhibited the augmentation of PLT and RBC accumulation. Cilostazol prevented the PLT-induced increase in ectopic erythrophagocytosis in in vivo and in vitro NASH models. Cilostazol attenuated ferroptosis of hepatocytes and phagocytosis of RBCs by THP-1 cells. Augmentation of hepatic erythrophagocytosis by activated platelets in NASH exacerbates HIO. Cilostazol prevents ectopic erythrophagocytosis, mitigating HIO-mediated ferroptosis in NASH models.