Miracle-dz/UniFAR-FTUs huggingface dataset:
Field study to identify requirements for smart logistics of European, US and Asian SMEs

Industry 4.0 also known as the “fourth industrial revolution” will positively affect not only manufacturing processes but also the connected supply chains. Through digitization, important control information, even at an inter-company level, will become available in real-time leading to great efficiency increases. However, the increasing trend of mass customization as well as supply chains that are spread globally over the world pone specific challenges to SMEs logistics to deliver products Just-in-Time (JIT), with low costs and the right quality. Moreover, up to now mostly big companies are boosting research and development in this field letting on the track small and medium-sized enterprises (SMEs). In this paper, we present the outcomes of expert workshops to identify requirements of SMEs in the field of smart logistics management. To give a global perspective, SMEs from Central Europe, the Northern part of the United States of America as well as from Northern Thailand are presented. The paper presents an explorative set of hypothesis for requirements as well as the outline of a survey for their further validation. It summarizes the results of the first phase within the European research project “SME 4.0 Industry 4.0 for SMEs”.
Potential Nanomaterials and their Applications in Modern Medicine: An Overview

This paper focuses on the recent advances in nanomaterials which are playing important roles in medical science and also the nanomaterials which can be potential candidates in medicine and medical device applications. The salient properties, functional activities, advantages and disadvantages of these materials are also investigated. Nanotechnology have attracted much interest for their promising potentials in cancer treatment, targeted drug delivery and high precision medical imaging devices. Nanomaterials derived super sensitive biosensors have real potential and are greatly required in early detection of rare molecular and genetic signals associated with different diseases. Nanomaterials with enhanced magnetic (i.e., paramagnetic or super-paramagnetic) properties, high electric conductivity and well surface reactivity are highly desirable in the field of nanomedicine.
A Note on Extensions of Qtr

In this note we investigate the behaviour of the absolute logarithmic Weil-height h on extensions of the field Q of totally real numbers. It is known that there is a gap between 0 and the next smallest value of h on Q, whereas in Q(i) there are elements of arbitrarily small positive height. We prove that all elements of small height in any finite extension of Q already lie in Q(i). This leads to a positive answer to a question of Amoroso, David and Zannier, if there exists a pseudo algebraically closed field with the mentioned height gap.
The affective load of inequality decreases individual productivity

Evidence suggests that the level of inequality in a society has a negative effect on aggregated output. Diverse explanations on how this effect takes place have been developed in the economics literature. We propose a novel explanation in which the degree of inequality to which an agent is exposed induces an specific affective load which, if sufficiently high, could decrease productivity. In a controlled laboratory setting we exogenously vary the level of poverty awareness as a proxy to inequality. We find that subjects assigned to the “Awareness” treatment condition have lower average productivity with respect to subjects assigned to the “No awareness” baseline condition. A questionnaire and a face recognition software provide quantitative measures of the moods and emotions evoked by the experimental conditions. We provide evidence that the affective variation found in these conditions mediates this decrease in individual productivity. JEL Classification : D03, J24, C91
Ultraviolet and Infrared Spectra of Some Nitrosamines

In the course of our examination of nitrosohydroxylamine derivatives ("isonitramines") [1], it became necessary to examine the spectra of nitrosamine, i. e. the compounds with the > N — N = O group similar to that in nitrosohydroxylamine. N-Nitrosodimethylamine (I), N-nitrosodiphenylamine (II), cyclotrimethylenetrinitrosamine (III) and di-N-nitrosopentamethylenetetramine (IV) were prepared and examined. Also p-nitroso-N, N-dimethylaniline (V) was examined as a substance containing the = C — NO group.
Modeling Intrinsic Variability and Connectivity in Shelf and Littoral Circulation

The primary objectives are (1) to accurately simulate the intrinsic submesoscale variability that develops on the shelf in response to the large-scale wind, tide, freshwater run-off, and surface wave forcings of the shelf circulation; (2) to analyze idealized approximations to these simulated phenomena; and (3) to support fi experiments in the ONR Departmental Research Initiative (DRI) on the “Inner Shelf” by presenting prototypes of expected phenomena to guide the experimental design and by helping to interpret the measurements.
Biomechanical Evaluation of Motorcycle Helmets: Protection against Head and Brain Injuries

Motorcycle accident victims worldwide account for more than 340,000 fatalities annually, with the Unites States ranking 8th highest in number of motorcycle accident deaths, largely due to non-mandatory motorcycle helmet requirements for adults in a number of States. Seventy-five percent of all fatal motorcycle accidents involve head and brain injury, with rotational forces acting on the brain the primary cause of mortality. Current motorcycle helmets are reasonably effective at reducing head injuries associated with blunt impact. However, the mechanism of traumatic brain injury is biomechanically very different from that associated with focal head injury. This study was conducted to evaluate the effectiveness of current motorcycle helmets at reducing the risk of traumatic brain injuries.Ten motorcycle helmet designs, including full-face, three-quarter and half-helmets were evaluated at an average impact velocity of 8.3 ms-1 (18.5 mph) using a validated test apparatus outfitted with a crash test dummy head and neck. Sensors at the center of mass of the headform enabled high-speed data acquisition of linear and angular head kinematics associated with impact.Results indicate that none of the standard helmet models tested provides adequate protection against concussion and severe traumatic brain injuries at moderate impact speeds. Only one of the standard motorcycle helmet models tested provided adequate protection against skull fracture.A new motorcycle helmet prototype, incorporating a liner constructed from a composite matrix of rate-dependent materials was tested, with comparison to standard motorcycle helmet designs, with very promising results. Knowledge learned from this study will facilitate the development of a new generation of advanced motorcycle helmets that offer improved protection against both head and brain injuries.
The Impact of Age and Frailty on the Fischer-344 Rat Heart

ix LIST OF ABBREVIATIONS AND SYMBOLS USED . x ACKNOWLEDGEMENTS . xiii CHAPTER 1: INTRODUCTION . 1 1. General Overview . 1 2. Age-related changes in cardiac structure and function . 3 2.1 Age-related changes in cardiac structure . 3 2.2 Age-related changes in cardiac function . 4 3. Frailty . 6 3.1 Quantification of frailty in humans. 8 3.2 Quantification of frailty in animals. 10 4. Frailty and cardiovascular care . 12 5. Research Objectives . 14 6. Hypotheses . 15 CHAPTER 2: METHODS . 17 1. Experimental animals . 17 2. Frailty Index . 17 2.1 Potential deficits . 17 2.2 Nutritional . 18 2.3 Clinical signs . 18 2.4 Sensorimotor function . 20 2.5 Exploratory activity . 23 2.6 Basic metabolic status and hematology . 24 2.7 Deficit selection criteria . 25 3. Quantification of in vivo cardiac structure and function with echocardiography . 25 4. The isolated working rat heart . 27
AN RF FOCUSED INTERDIGITAL LINAC STRUCTURE∗

An Rf Focused Interdigital (RFI) linac structure will be described. It represents an effective combination of the Wideroe (or interdigital) linac structure, used for many low frequency, heavy ion applications, and the rf electric quadrupole focusing used in the RFQ and RFD linac structures. As in the RFD linac structure, rf focusing is introduced into the RFI linac structure by configuring the drift tubes as two independent pieces operating at different electrical potentials as determined by the rf fields of the linac structure. Each piece (or electrode) of the RFI drift tube supports two fingers pointed inwards towards the opposite end of the drift tube forming a four-finger geometry that produces an rf quadrupole field along the axis of the linac for focusing the beam. However, because of the differences in the rf field configuration along the axis, the scheme for introducing rf focusing into the interdigital linac structure is quite different from that adopted for the RFD linac structure. The RFI linac structure promises to have significant size, efficiency, performance, and cost advantages over existing linac structures for the acceleration of low energy ion beams of all masses (light to heavy).
Should We Take Experimental Recommendations at Face-Value ? Social-Image and Self-Sorting in a Public-Good Experiment

Many laboratory experiments about public goods found that subjects’ contributions are initially higher than the Nash prediction, but lower than the efficient level (Ledyard, 1995). Aside from a literature studying and incorporating seemingly unselfish behaviors into economics, experimental studies search for institutional designs that foster such prosocial behaviors. For example, higher initial levels of contribution as well as a longer-standing cooperation can be observed if one introduces communication before subjects’ decisions (Isaac & Walker, 1988), the possibility of sanctions – either monetary or non-monetary (Fehr & Gächter, 2000 ; Masclet, Noussair, Tucker & Villeval, 2003) or the public disclosure of individual choices to play on social-images incentives. ∗Université Paris 1 Panthéon-Sorbonne & Paris School of Economics: antoine.hemon@psemail.eu
Dapt Review

Dual antiplatelet therapy (DAPT) combining aspirin and a P2Y12 receptor inhibitor has been consistently shown to reduce recurrent major adverse cardiovascular events (MACE) in patients with acute coronary syndrome (ACS) or undergoing percutaneous coronary intervention (PCI) for stable coronary artery disease (CAD) compared with aspirin monotherapy but at the expense of an increased risk of signifi cant bleeding. Among patients with stable CAD undergoing PCI with drug-eluting stents (DES), shorter duration of DAPT (3–6 months) were shown non-inferior to 12 or 24 months duration concerning MACE but reduced the rates of major bleeding? Contrariwise, prolonged DAPT durations (18–48 months) reduced the incidence of myocardial infarction and stent thrombosis, but at the cost of an increased risk of majör bleeding and all-cause mortality. Until more evidence becomes available, the choice of optimal DAPT regimen and duration for patients with CAD requires a tailored approach based on the patient clinical presentation, baseline risk profi le and management strategy. Patients with acute coronary syndromes (ACS) and a history of atrial fi brillation (AF) have indications for both dual antiplatelet therapy (DAPT) and oral anticoagulation (OAC). Triple therapy (TT), the combination of DAPT and OAC, is recommended in guidelines. This article provides a contemporary state-of-the-art review of the current evidence on DAPT for secondary prevention of patients with CAD and its future perspectives.
PATH RECOGNIZING SOLVE USING GRAPH-CUT TECHNIQUE

Within this paper, a competent road recognition and tracking framework in UAV videos is suggested. Recognition and tracking of the specific road in UAV videos play a huge role in automatic UAV navigation, traffic monitoring, and ground-vehicle tracking, as well as is extremely useful for constructing road systems for modeling and simulation. An unmanned aerial vehicle (UAV) has numerous applications in a number of fields. Particularly, a graph-cut-based recognition approach is offered to precisely extract a particular road region throughout the initialization stage and in the center of tracking process, along with a fast homography-based road-tracking plan is designed to instantly track road areas. Experiments are conducted on UAV videos of real road scenes we taken and downloaded from the web. Our prime efficiency in our framework is related to two aspects: the street recognition is conducted only when it's necessary and many operate in choosing the road is quickly done via extremely fast homography-based tracking.
Hierarchical and Bayesian Scattered Data Taxonomy in Mobile Ad-hoc Networks

— MANETS promise an unprecedented opportunity to monitor physical environments via inexpensive wireless embedded devices. Given the sheer amount of sensed data, efficient taxonomy of them becomes a critical task in many sensor network applications. The Bayesian classifier is a fundamental taxonomy technique. We introduce two classifiers: Naive Bayes and a classifier based on class decomposition using K-means clustering. We consider two complementary tasks: model computation and scoring a data set. We study several layouts for tables and several indexing alternatives. In this paper, we propose a novel decision-tree-based hierarchical scattered taxonomy approach, in which local classifiers are built by individual sensors and merged along the routing path forming a spanning tree. The classifiers are iteratively enhanced by combining strategically generated pseudo data and new local data, eventually converging to a global classifier for the whole network. We also introduce some control factors to facilitate the effectiveness of our approach. Through extensive analysis, we study the impact of the introduced control factors, and demonstrate that our approach maintains high taxonomy accuracy with very low storage and communication overhead. The approach also addresses a critical issue of heterogeneous data distribution among the sensors.
Phytochemical Analyais of Seeds of Phonenix dactylifera

Date Palm is a high energy value crop with a good nutritional value. Seeds of this plant provide a remedy to a lot of ailments and nutritional value to human. It is use in cold, fever, cystitis, edema, throat infection, bronchial catarrh, low sperm count and abdominal trouble etc. The present study involves extraction & photochemical analysis of Phoenix dactylifera L. belonging to the family Arecaceae for its medicinal value. A qualitative photochemical analysis of four solvent extract chloroform, ethyl alcohol, ethyl acetate and petroleum ethyl was performed for the presence of alkaloids, carbohydrates, glycosides, saponins, phenols, flavonoids, proteins, amino acids and diterpenes. Results reveal the presence of maximum bioactive compounds in ethyl alcohol than in ethyl acetate. Ethyl alcohol and ethyl acetate were good solvent for extraction of bioactive compounds while chloroform is poor solvent. The presence of bioactive compound in the seeds showed that the seeds of this plant serve as good sources of useful drugs.
A Study of Different Text Summarization Techniques Based on Input

: Automatic text summarization is the technique of distilling the most important information from a text or a set of text. The amount of online information services, social media and other digital format documents is increasing gradually which has necessitated intensive research in the area of automatic text summarization. Text summarization is the most challenging task for information retrieval. It requires integration of techniques, implementation of hybrid schemes, including NLP, data mining and analytics, as well as optimization and linguistic theories. Various researchers from the NLP community have been addressing it from various perspective in different domains and using different paradigms. Some summarization techniques perform well in identifying and summarizing single documents but their precision degrades sharply with multi-documents. As automatic summarization is becoming an important way to find relevant information precisely in large text in short time. This paper discusses various text summarization techniques both in the areas of single-document and multi-document summarization giving emphasis to approaches used for automatic summarization, methodologies, application in various domains and performance behavior. This has attempted to document and analyse the established techniques for text summarization. Analysis has been done on the methodologies, the schemes, and the approaches used in various research outcomes and proposals. The content of the present study, in the form of a critical analysis on text summarization techniques is a concise, comparative, and foundation block for further research works in the domain.
Using Incentives to Prevent HIV Infections

This essay proposes ways to improve the effectiveness of HIV prevention by strengthening incentives for both measurement and achievement. It builds upon a companion essay that proposes an “AIDS Transition”—that is, a gradual reduction in the number of people infected with HIV even as those infected live longer—as a reasonable objective of donor and gover nment AIDS policy. Using Incentives to Prevent HIV Infections
Approach for Deploying the Hybrid Cloud in Diverse Open-Source Tools

: Cloud computing is an attractive computing model since it allows for resources to be provisioned according on a demand basis, i.e., cloud users can rent resources as they become necessary. This model motivated several academic and non-academic institutions to develop open-source cloud solutions. This paper presents and discusses the state-of-the of open-source solutions for cloud computing. We hope that the remark and classification of such solutions can control the cloud computing research area providing a good starting point to cope with some of the problems present in cloud computing environments.
Quantum Plexcitonic Nanoprobes for Ultrasensitive SERS Biosensing

The nanomedicine of the future requires novel nanoprobes with on demand properties for ultrasensitive biosensing. Surface enhanced Raman scattering (SERS) is an ultrasensitive technique which allows the detection of analytes in very low concentrations. This ultrasensitive technique mainly relies on the appropriate tuneability of the incident light and the strong local electric field generated by plasmonic NPs coupled with the vibrational modes of the molecule. However, often the intrinsic low analyte concentrations, lack of metal affinity or the complexity of matrices render direct SERS detection of the molecule of interest practically impossible. In these cases an indirect detection employing SERS tags is required. Thus, a SERS tag or SERS encoded nanoparticles is a probe system which combine a plasmonic nanoparticle and an active Raman reporter molecule that can be employed to label a target molecule and indirectly identify its presence and location [1].
Hybrid Laplace Transformation

The hybrid Laplace transformation, defined by the composition between the usual Laplace and Z transformations, was introduced, studied and applied in a series of papers by the second author. It applies to functions of both continuous and discrete variables and can be used to solve hybrid equations, which can have both algebraic, differential and integral terms. Here we present some of the properties of the hybrid transformation, going them proofs based on the corresponding properties of the usual Laplace and Z transformations. Finally the hybrid Laplace transformation is used to solve an algebraic-integral equation previously solved by other methods by the first author. The simplicity of the proposed approach proves the great advantage of the hybrid Laplace transformation.
Feline Parasitism: Parasite Prevalence and Evaluation of New Immunoassays for Giardia and Cryptosporidium

Giardia duodenalis and Cryptosporidium spp. are enteric protozoan parasites that can cause diarrhea in cats. Diagnosis of these parasites can be difficult and currently there is not a prefect diagnostic method available for either. Two prototype lateral flow assays, the Cryptosporidium EZ VUE (TECHLAB® Inc) and Giardia EZ VUE (TECHLAB® Inc), were evaluated for their ability to detect G. duodenalis and Cryptosporidium spp. in naturally occurring feline infection in Virginia. In addition, samples were examined using a 33 % zinc sulfate (ZnSO4) centrifugal fecal flotation procedure and the MERIFLUOR® Cryptosporidium/Giardia direct immunofluorescent assay (IFA), which served as the reference test. Fecal samples from 725 cats were evaluated for G. duodenalis and Cryptosporidium spp. from July 2016 to March 2017. For G. duodenalis, the sensitivity and specificity of centrifugal fecal flotation were 57.1% and 100% when compared to IFA, while the Giardia EZ VUE assay had a sensitivity and specificity of 78.1 % and 99.5% when compared to IFA. Statistical analysis detected a significant difference between the sensitivity of these two tests, but there was no difference in specificity. For the Cryptosporidium EZ VUE the sensitivity and specificity when compared to IFA were 100% and 98.1%. The results of this study demonstrate that the use of centrifugal fecal flotation can underestimate G. duodenalis infection and that the Giardia EZ VUE and Cryptosporidium EZ VUE assays have potential in feline diagnostics and should be further investigated.
Perceived quality and choice of health care provider: Analyzing the determinants of choice of maternity clinics for pregnant women

This paper studies patients’ responsiveness to quality information of health care providers in Germany using data on publicly available quality reports which hospitals are required to report biannually since 2006. We link the quality information to rich administrative hospital records on patients, treatments and hospital characteristics to empirically study to which extent patients are willing to travel further to maternity clinics with quality higher ratings. We extend the analysis by exploiting subjective quality information from a large survey based on patients’ satisfaction with the hospital to study whether the type of quality information matters for individuals’ responsiveness. Our results show that individuals, depending on quality indicator, are willing to travel between 0.05–2.74 kilometers further to increase the quality of care by one standard deviation and that patients are generally more responsive to subjective quality information. JEL Classification: I11, I12, I18