Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of some plum cultivars cultivated in sandy soil under Assiut conditions, Egypt

This study was conducted in two successive seasons 2021 and 2022 to evaluate mature trees of African -rose and Pioneer plum cultivars grafted on Nemagard rootstock. Evaluation parameters included vegetative measurements (shoot length, shoot diameter, umber of leaves and leaf area) and flowering measurements (dates of bud burst, onset of flowering, full bloom, end of flowering and onset of fruit set), fruiting attributes, yield, date of fruit maturity and fruit quality. The obtained data showed that African-rose plum cv. superior to Pioneer cv. in earlier of bud burst dates, onset of flowering, full bloom, end of flowering and onset of fruit set, the highest in initial and final fruit set percentage, as well as shoot length, number of leaves leaf area and less fruit drop percentage. While pioneer cv. gave a high yield and an increase in weight, volume, height, diameter fruit and earlier in fruit maturity about four to seven days and an increase in TSS %, total and reducing sugars percentage and decrease in total acidity percentage as compared with African-rose plum cultivar. It could be concluded that Pioneer plum cultivar are considered as promising cultivar under sandy soil conditions in Assiut due to their recently, high yield and early fruit ripening and fruit quality, randomized complete block design (RCBD) was followed in data analysis.
BUILDING E-LOYALTY TOWARDS ONLINE FOOD DELIVERY APPS: A SERIAL-MEDIATION MODEL

This study analysed the mechanism to generate e-loyalty among customers through e-service quality regarding OFD (OFD) apps. It examined the indirect influence of e-service quality on e-loyalty through the mediation of e-trust and e-satisfaction of customers. The serial mediation approach was used to test the proposed model of the study. Data was obtained through a self-administered structured questionnaire filled by 261 respondents from north India. The model hypotheses were tested by applying variance-based partial least squares in software SmartPLS 3. All the results were found to be statistically significant, and all proposed hypotheses were accepted. The results revealed that e-service quality positively contributed to building e-loyalty among customers of OFD apps. Furthermore, the results of the mediation effect suggested that e-trust and e-satisfaction strengthened the relationship between e-service quality and customers’ e-loyalty and therefore, that restaurants using OFD apps should try to provide the best online services to build trust along with satisfaction among their customers to increase loyalty to their online platforms. Theoretical implications for scholars and practical implications for the marketer are discussed.
RECORDS OF PHARMACEUTICAL AND BIOMEDICAL SCIENCES Nanostructured Lipid Carriers as Novel Drug Delivery System: A Review

Notwithstanding the physiological hurdles in the gastrointestinal tract, enteral delivery is the most practical route of drug administration. Lipid-based formulations known as nanostructured lipid carriers (NLCs) have received much research as drug-delivery nanovesicles. Due to their superior physical stability, biocompatibility, and enhanced drug-loading capacity, NLCs are preferred over other conventional lipidic nano-formulations, such as liposomes, solid lipid nanoparticles (SLNs), and nanoemulsions. NLCs are considered a promising strategy for oral bioavailability (BAV) enhancement of drugs; this could be due to the benefits of nanomaterials as well as the properties of the lipidic composition of the vesicles, which prevent enzyme degradation, mask unpleasant taste, and being favorably taken up to the lymphatic system through chylomicrons. This review particularly emphasizes their applications as oral drug delivery systems; this review discusses the most recent developments in using NLCs as nanocarriers and their composition, preparation, and characterization techniques.
THE DRIVER OF PURCHASE INTENTIONS IN OMNICHANNEL RETAIL: PERCEIVED VALUE EXAMINATION

The research aims to develop a theoretical model of consumption value associated with adopting omnichannel service technology, with the empirical context of the household appliance retail sector consisting of functional value, epistemic value, social value, and emotional value influencing purchase intention. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to test and analyze the data. The sample consists of 384 responses that can be used from individuals who purchased household appliances in the Omnichannel. The results showed that functional and social values influenced purchasing household appliances, while emotional and epistemic values did not affect purchase intention. Because of that, Omnichannel retail should focus on creating functional value and social value. Despite this, all channels have to work to guarantee a seamless transition between online and offline channels. This study's findings are helpful for businesses in implementing an omnichannel approach.
Temporal interface delay and root nonfinite verbs in Spanish-Speaking children with specific language impairment

Existing research into specific language impairment in Spanish utilizes primarily spontaneous production data and concludes that children do not have problems with verb finiteness. In contrast, we show, through a new receptive measure, the “Grammaticality Choice Task”, that the distribution of the 2 most common errors in child Spanish is sufficient to distinguish language-impaired children from age and language control groups. We conclude that finiteness marking on verbs is a promising clinical marker for SLI in Spanish and that spontaneous measures of finiteness marking do not provide the most accurate representation of children’s grammatical competence in the verbal domain in a null subject language such as Spanish.
E-Healthcare Security Concept Based on PKI and Blockchain Technology

: Technological advances in information and communication technologies induce the inevitable automation of life processes. The transition of social and business activities to cyberspace has brought a new quality to everyday life, but at the same time, it has produced new challenges in the field of data protection. One of the areas where this issue is particularly sensitive is the field of healthcare. Unauthorized access to a patient's data can cause many almost insurmountable problems in life, ranging from theft and identity abuse to putting them in an unequal life situation compared to insurance companies, credit and banking systems, transportation systems, and many other life situations. In this paper, the concept of eHealthcare data protection based on PKI and Blockchain technology is proposed. PKI technology ensures reliable identification of all entities in the system by applying digital certificates of the appropriate type and controlling data integrity at the time of creation. Blockchain technology ensures the integrity of data in time in the sense that data entered into the blockchain cannot be changed, deleted, or inserted into new ones without violating a chaining structure. Finally, it was shown that the electronic healthcare information system based on these principles is compatible with the GDPR of the European Union. The proposed principles are also in line with the main directions of designing secure information systems known under the name zero trust information systems.
Devils in Your Apps: Vulnerabilities and User Privacy Exposure in Mobile Notification Systems

Witnessing the blooming adoption of push notifications on mobile devices, this new message delivery paradigm has become pervasive in diverse applications. Accompanying with its broad adoption, the potential security risks and privacy exposure issues raise public concerns regarding its great social impacts. This paper conducts the first attempt to exploit the mobile notification ecosystem. By dissecting its structural elements and implementation process, a comprehensive vulnerability analysis is conducted towards the complete flow of mobile notification from platform enrollment to messaging. Meanwhile, for privacy exposure, we first examine the implementation of privacy policy compliance by proposing a three-level inspection approach to guide our analysis. Then, our top-down methods from documentation analysis, application network traffic study, to static analysis expose the illicit data collection behaviors in released applications. In addition, we uncover the potential privacy inference resulted from the notification monitoring. To support our analysis, we conduct empirical studies on 12 most popular notification platforms and perform static analysis over 30,000+ applications. We discover: 1) six platforms either provide ambiguous KEY naming rules or offer vulnerable messaging APIs; 2) privacy policy compliance implementations are either stagnated at the documentation stages (8 of 12 platforms) or never implemented in apps, resulting in billions of users suffering from privacy exposure; and 3) some apps can stealthily monitor notification messages delivering to other apps, potentially incurring user privacy inference risks. Our study raises the urgent demand for better regulations of mobile notification deployment.
Optimal Transport for Image Processing

Optimal Transport is a well developed mathematical theory that defines robust metrics between probability distributions. The computation of optimal displacements between densities through the associated transport map makes this theory mainstream in several applicative fields. For image processing applications, the transport map can for instance be used to compute geodesics between images or to transfer characteristics of one image to another. In this context, it is of major interest to preserve the nature of the observed objects, in order to synthesize images that are physically and visually plausible. In this document, generalized Optimal Transport distances including relaxation and regularization are considered to improve the modeling of image processing problems. New models and algorithms within the continuous and discrete formulations of Optimal Transport are presented. With the continuous setting, the integration of physical regularization of the transport plan makes possible the interpolation of ocean images containing complex structures. In the discrete setting, the regularization of the transport plan is considered for color transfer between images. Convex and non-convex models are proposed to define automatic methods that adapt the proportion of colors required to synthesize visually plausible images. These methods are extended to the computation of barycenters to deal with the color normalization of multiple images. Finally, the entropy regularization of discrete Optimal Transport is used for image segmentation. A fast and convex model is designed to segment images, while respecting global color distribution constraints.
LIVING HADITH: A NEW METHOD OF INTERPRETING THE HADITH OF PROPHET MUHAMMAD THROUGH SOCIO-RELIGIOUS PHENOMENA IN INDONESIA

Living hadith is a product of people ’ s understanding of a hadith text. Living hadith is a relevant study in Indonesia. This research is qualitative, which is a category of literature research. The approach used by the author is phenomenological and sociological approaches. This research shows that people ’ s reception of a text is strongly influenced by other elements such as socio-cultural conditions, geography, ethnography, etc. Then in the example, the author interviewed a tradition of living hadith, namely tahlilan, which occurred in the Jama ’ ah Masjid Al-Fatah, Pasir Kidul, West Purwokerto, Banyumas. According to the Imam of the tahlilan, the spirit of this routine tradition is based on hadith and the Qur ’ an, so this sample can be a sign that living hadith is inherent and fertile in Indonesian society.
SUSTAINABILITY ASSESSMENT OF COVID-19 PROTOCOLS AND INFRASTRUCTURAL DEFICIENT SOCIETIES IN POST-COVID ERA IN AFRICA: A CASE OF NIGERIA

Africa recorded her first confirmed COVID-19 case in Egypt on 14 February, 2020. Thus far, the number of new confirmed cases and deaths increased despite the World Health Organization (WHO) protocols. The study aims at determining if the conceived and adopted protocols against COVID-19 and the post-COVID era in the infrastructural deficient societies of Africa and indeed Nigeria are sustainable. Empirical research design was adopted based on the data randomly drawn from a population who are residents of the Federal Capital Territory (FCT) Abuja, Anambra, Lagos, Kano, Rivers States, States termed most vulnerable to infection in Nigeria. The sampling unit was based on a pilot study, using four hundred randomly selected adult residents who are literate in the sampled States using online structured questionnaire, supplemented by phone call - oral interviews, and other literature sourced from secondary sources. The primary data used for the study were obtained through the administration of questionnaires via online, and were analyzed using both descriptive and inferential statistics. The results were presented in tables, graphs and charts. The Mean Weighted Value statistical analysis was carried out with the Gross Mean Weight Value (cut-off point) at 2.60. The study found that Unplanned, Uncoordinated and Unregulated Transport System, Epileptic Power Supply, Dominant Primary Economic Production, Unplanned Settlement, Corruption, Congested Settlement, Congested Market Places, Small Traders and Artisans sustenanc e on daily basis, Nigeria’s Mono -economy, Import Dependency and Shortage of Food militated against the COVID-19 control protocols and still subsists in post-COVID era. It therefore recommends massive infrastructural development in African countries for sustainability, diversify economic activities in order to create additional values to the socio-economic activities that will lead millions of Africans out of poverty, put in place and enforce sustainable hygiene protocols that will promote and guarantee good health and healthy environment of the societies in Africa.
Optimization of liquid-liquid Extraction Column Using Genetic Algorithms

In the present study, liquid-liquid extraction column was optimized using Genetic Algorithms as a non-conventional optimization technique, which scores over conventional techniques. Genetic Algorithm (GA) is a stochastic search technique mimics the principle of natural genetics and natural selection to constitute search and optimization. Genetic Algorithm is applied to the optimal design of liquid-liquid extraction column to maximize the extraction rate using the superficial velocities of raffinate and extract phases, (υx, υy) respectively as design variables using Matlab GA toolbox. Different Genetic Algorithm strategies were used for optimization and the design parameters such as Population size, crossover rate and Mutation were studied. It was found that for constant distribution coefficient, m the convergence is obtained in a very few generations (51 generations). The effect of distribution coefficient, m was also studied on the optimization process and found that when increasing the distribution coefficient the optimum extraction rate increased. The best values for υx and υy were 0.142 and 0.059 respectively, and the objective function (maximum) was 0.2844187.
Bonus Question: Does Flexible Incentive Pay Dampen Unemployment Fluctuations?

This paper introduces rich dynamic incentive contracts into a benchmark model of unemployment fluctuations and presents three results. First, wage cyclicality due to incentives does not dampen unemployment fluctuations: unemployment dynamics are first-order equivalent in an economy with flexible incentive pay and without bargaining, and in an economy with rigid real wages (Hall, 2005). Second, wage cyclicality due to bargaining does dampen unemployment fluctuations through the standard mechanism. Third, calibrating the model suggests 40% of wage cyclicality in the data arises from incentives. A standard model without incentives, calibrated to weakly pro-cyclical wages, matches unemployment dynamics in our incentive pay model, calibrated to substantially more pro-cyclical wages. ∗Gaur: Princeton (meghana.gaur@princeton.edu); Grigsby: Princeton (jg6005@princeton.edu); Hazell: LSE (J.Hazell@lse.ac.uk), Ndiaye: NYU Stern (andiaye@stern.nyu.edu). We thank Gadi Barlevy, Mark Bils, Matthias Doepke, Xavier Gabaix, Mikhail Golosov, Hugo Hopenhayn, Ilse Lindenlaub, Alan Manning, Ricardo Reis, Richard Rogerson, Christopher Sandmann, Liyan Shi, Venky Venkateswaran and numerous seminar participants for helpful comments.
SOCIAL, ECONOMIC, AND ENVIRONMENTAL ASPECTS OF FISHING COMMUNITIES IN A MARINE EXTRACTIVE RESERVE IN THE PARAENSE AMAZON

: In the Amazon, among the several population groups dedicated to extractivism, those related to artisanal fishing stand out and are representative of the population who lives in line with the rivers and the sea. The objective of this study was to analyze and trace the socio-environmental profile of artisanal fishermen living in three fishing communities in the municipality of Bragança, northeastern Pará state, in the Caeté-Taperaçu Marine Extractive Reserve. To this end, interviews were carried out through questionnaires to 251 families of artisanal fishermen, between men and women, 85 (33.86%) from Vila dos Pescadores, 96 (38.25%) from Vila do Castelo and 70 (27.89 %) from Vila do Taperuçu. The results indicate the age of respondents between 18 and 55 years old, found low schooling, most have their own house, and annual income ranging from R$ 3,905.85 to R$ 5,506.56. Access to water is through the distribution network and the provision of urban cleaning services serves almost 50% of communities. The results obtained allowed us to trace a social, economic, and environmental profile of artisanal fishermen from fishing communities in the extractive reserve, which could serve as a basis for the generation of subsidies that involve the implementation of public policies that are directed to artisanal fishermen in the conservation unit in question.
Modeling and simulation of the motion of deformable interfaces in a confined geometry : application to the study of the flow of red blood cells in microcirculation

Vesicles are extensively used as a model for understanding dynamicsand deformation of red blood cells at the individual level but also regarding collective phenomena and rheology. Vesicles' membranes withstand to bending butdo not have a shear resistance, unlike red blood cells, but they still share several dynamical properties with red blood cells, like tank-treading and tumbling under linear shear flow, or parachute and slipper shapes under Poiseuille flow. The red blood cells are known to form train of cells in the microcirculation attributed to attractive hydrodynamic interactions. We investigate numerically several kind of problems such as: (i) the dynamics of isolated cells; (ii) the hydrodynamic coupling between the red blood cells (by using vesicles as a model) subject to a Poiseuille flow under different confinements; (iii) the aggregation of red blood cells and formation of rouleaux; and (iv) the contribution of macromolecules in the formation of clusters under flow condition. The obtained results give a new insight into thephysics of deformable objects under confinement that are transposable to the flow of red blood cells in the microcirculation.
The Effects of Leadership Behavior on Psychological Safety, Job Satisfaction, and Perceptions of Patient Care

The purpose of this study was to examine psychological safety as a mediator of the relationship between leadership style and job satisfaction in a medical imaging center during the Covid-19 pandemic. Twenty-eight medical imaging technicians from a regional hospital (fifteen females and thirteen males) completed a survey that included perceptions of leadership style, psychological safety, and job satisfaction. Mediation analysis showed that one style of leadership, Instrumental, had direct positive effects on both psychological safety and job satisfaction, and that psychological safety had a direct effect on job satisfaction. Further, psychological safety fully mediated the relationship between leadership and job satisfaction. During the pandemic, an instrumental leadership style helped healthcare workers feel psychologically safe, which in turn, was associated with higher levels of job satisfaction. These results can help organizations, specifically in healthcare, foster the development of effective leadership behaviors, particularly during times of stress and chaos such as the Covid pandemic.
Micro-Mesh Construction

Micro-meshes (μ-meshes) are a new structured graphics primitive supporting a large increase in geometric fidelity, without commensurate memory and run-time processing costs, consisting of a base mesh enriched by a displacement map. A new generation of GPUs supports this structure with native hardware μ-mesh ray-tracing, that leverages a self-bounding, compressed displacement mapping scheme to achieve these efficiencies. In this paper, we present anautomatic method to convert an existing multi-million triangle mesh into this compact format, unlocking the advantages of the data representation for a large number of scenarios. We identify the requirements for high-quality μ-meshes, and show how existing re-meshing and displacement-map baking tools are ill-suited for their generation. Our method is based on a simplification scheme tailored to the generation of high-quality base meshes, optimized for tessellation and displacement sampling, in conjunction with algorithms for determining displacement vectors to control the direction and range of displacements. We also explore the optimization of μ-meshes for texture maps and the representation of boundaries. We demonstrate our method with extensive batch processing, converting an existing collection of high-resolution scanned models to the micro-mesh representation, providing an open-source reference implementation, and, as additional material, the data and an inspection tool.
Micropolar Elasticity in Physically-Based Animation

We explore micropolar materials for the simulation of volumetric deformable solids. In graphics, micropolar models have only been used in the form of one-dimensional Cosserat rods, where a rotating frame is attached to each material point on the one-dimensional centerline. By carrying this idea over to volumetric solids, every material point is associated with a microrotation, an independent degree of freedom that can be coupled to the displacement through a material's strain energy density. The additional degrees of freedom give us more control over bending and torsion modes of a material. We propose a new orthotropic micropolar curvature energy that allows us to make materials stiff to bending in specific directions. For the simulation of dynamic micropolar deformables we propose a novel incremental potential formulation with a consistent FEM discretization that is well suited for the use in physically-based animation. This allows us to easily couple micropolar deformables with dynamic collisions through a contact model inspired from the Incremental Potential Contact (IPC) approach. For the spatial discretization with FEM we discuss the challenges related to the rotational degrees of freedom and propose a scheme based on the interpolation of angular velocities followed by quaternion time integration at the quadrature points. In our evaluation we validate the consistency and accuracy of our discretization approach and demonstrate several compelling use cases for micropolar materials. This includes explicit control over bending and torsion stiffness, deformation through prescription of a volumetric curvature field and robust interaction of micropolar deformables with dynamic collisions.