Miracle-dz/UniFAR-FTUs huggingface dataset:
U–Pb dating of middle Eocene–Pliocene multiple tectonic pulses in the Alpine foreland

Abstract. Foreland fold-and-thrust belts (FTBs) record long-lived tectono-sedimentary activity, from passive margin sedimentation, flexuring, and further evolution into wedge accretion ahead of an advancing orogen. Therefore, dating fault activity is fundamental for plate movement reconstruction, resource exploration, and earthquake hazard assessment. Here, we report U–Pb ages of syn-tectonic calcite mineralizations from four thrusts and three tear faults sampled at the regional scale across the Jura fold-and-thrust belt in the northwestern Alpine foreland (eastern France). Three regional tectonic phases are recognized in the middle Eocene–Pliocene interval: (1) pre-orogenic faulting at 48.4±1.5 and 44.7±2.6 Ma associated with the far-field effect of the Alpine or Pyrenean compression, (2) syn-orogenic thrusting at 11.4±1.1, 10.6±0.5, 9.7±1.4, 9.6±0.3, and 7.5±1.1 Ma associated with the formation of the Jura fold-and-thrust belt with possible in-sequence thrust propagation, and (3) syn-orogenic tear faulting at 10.5±0.4, 9.1±6.5, 5.7±4.7, and at 4.8±1.7 Ma including the reactivation of a pre-orogenic fault at 3.9±2.9 Ma. Previously unknown faulting events at 48.4±1.5 and 44.7±2.6 Ma predate the reported late Eocene age for tectonic activity onset in the Alpine foreland by ∼10 Myr. In addition, we date the previously inferred reactivation of pre-orogenic strike-slip faults as tear faults during Jura imbrication. The U–Pb ages document a minimal time frame for the evolution of the Jura FTB wedge by possible in-sequence thrust imbrication above the low-friction basal decollement consisting of evaporites.
Oil removal from oil/water emulsion by Zeolitic Imidazolate Framework-8 (ZIF-8): A study of pH, and adsorption kinetic

Most traditional methods are only used to remove free oil from wastewater, and they are not efficient for separating oil-water emulsions. The adsorption separation process can be widely applied for the treatment of emulsions, mainly due to the cost and benefit of the process and the wide variety of materials that can be used as adsorbents, for example activated carbon, clays, zeolites, etc. Among the various types of porous materials called "Metal Organic Frameworks" (MOFs) are the zeolitic imidazolate (ZIFs) structures. The zeolitic structure of the ZIFs allows to exhibit high surface areas and thus to be promising adsorbents. To evaluate the adsorption capacity of ZIF-8 in the removal of emulsified oil, ZIF-8 was synthesized using Zn metal and as organic binder 2-methylimidazole (Hmim), dissolved in methanol at room temperature. ZIF-8 was characterized by X-ray diffraction (XRD) technique to determine the crystalline structure. To evaluate the capacity of the emulsified oil, a pH-influence test and chemical kinetics were determined. The best pH of the emulsion for removal was pH 6. The chemical kinetics performed at pH 6 presented the best fit with the pseudo-second model with correlation coefficient 0.93. According to the kinetic data, a removal percentage of 92.43% was found with only 30 min of removal.
Dactylopius opuntiae (Cockerell, 1896), a new invasive pest of the cactus plants Opuntia ficus-indica in the South of Lebanon (Hemiptera, Coccoidea, Dactylopiidae)

− The scale insect Dactylopius opuntiae (Cockerell, 1896) (Hemiptera, Dactylopiidae) was detected for the first time in southern Lebanon in 2012, in the region of Nabatieh, on the cactus plants Opuntia ficus-indica (L.) Mill. (Cactaceae). The survey conducted in 2014 showed that this new introduced species is widespread in the South of the country and that the damages are very severe on Barbary figs, whose fruits constitute additional income sources for farmers of the region. However, in 2015, new infestations were observed in the region of Jezzine and Chouf, situated at 18 km from the first site of detection. The predator Cryptolaemus montrouzieri (Coleoptera, Coccinellidae) was found in association with the colonies of D. opuntiae, but its densities were too low to regulate the population of this new invasive pest. D. opuntiae represents a considerable threat to the production of Barbary figs in Lebanon. Résumé. − Dactylopius opuntiae (Cockerell, 1896), un nouveau ravageur invasif des figuiers de Barbarie, Opuntia ficus-indica, au Sud Liban (Hemiptera, Coccoidea, Dactylopiidae). La cochenille Dactylopius opuntiae (Cockerell, 1896) (Hemiptera, Dactylopiidae) a été signalée pour la première fois au sud du Liban en 2012 dans la région du Nabatieh sur Opuntia ficus-indica (L.) Mill. (Cactaceae). La surveillance effectuée en 2014 a montré que ce nouveau ravageur est largement répandu au sud du pays et que les dégâts sont très sévères sur les figuiers de Barbarie dont les fruits contribuent au revenu des agriculteurs de la région. Cependant une nouvelle infestation a été observée en 2015 dans les régions de Jezzine et du Chouf, situées à 18 km du premier site de détection. Le prédateur Cryptolaemus montrouzieri (Coleoptera, Coccinellidae) était observé en association avec les colonies de D. opuntiae mais son abondance était insuffisante pour pouvoir contrôler la population de cette espèce envahissante. La cochenille D. opuntiae représente une menace considérable pour la production des figues de Barbarie au Liban.
Dynamics of Human-Robot Interaction in Domestic Environments

Domestic service robots are nowadays widely available on the consumer market. As such, robots have begun entering people’s homes and daily lives. However, it seems that the dissemination of domestic robots has not happened as easily and widespread as it was anticipated in the first place. Little is known about the reasons why because long-term studies of ordinary people using real robots in their homes are rare. To better understand how people interact, use and accept domestic robots, studies of human-robot interaction require ecologically valid settings and the user and their needs have to come into the focus. In this dissertation, we propose to investigate the dynamics of human-robot interaction in domestic environments. We first explore the field by means of a 6-month ethnographic study of nine households. We provided each of the households with a Roomba vacuum cleaning robot. Our motivation is to understand long-term acceptance and to identify factors that can promote and hinder the integration of a domestic service robot in different types of households. We would like to find out how people’s perception of the robot, and the way they interact with it and use it, evolve over time. Furthermore, as social factors were highlighted in previous studies on technology adoption in homes, we shed light on to what extent people view Roomba and other types of domestic robots as a social entity and to what extent they anthropomorphize it. Findings of this research can be used to guide the design of user-oriented robots that have the potential to lastingly become a valuable part within the home ecology. Then, we pursue the idea of developing our own domestic robot prototype that could be used in a household with children. We imagine a playful robot that aims to motivate young children to tidy up their toys. In a first evaluation of the robot in 14 family homes, we study the effect of a proactive and reactive robot behavior on children’s interaction with the robot and their motivation to tidy up. A follow-up experiment explores the possibility to sustain children’s engagement by manipulating the robot’s behavior in such way that it appears unexpected. We further investigate how far this influences children’s perception of the robot in terms of anthropomorphism. Our findings emphasize the importance of research in ecologically valid settings in order to obtain a better understanding of human-robot interaction, advance further the design of user-oriented robots and foster the long-term acceptance of these devices.
Integration of Multiple Unmanned Systems in an Urban Search and Rescue Environment

Abstract : In view of the local, regional and global security trends over the past decade, the threats of disaster to the populace inhabiting urbanized areas are real and there is a need for increased vigilance. There can be multiple causes for urban disaster: natural disasters, terrorist attack and urban warfare are all viable. This thesis focused on the event in which an urban search and rescue operation is required due to the aftermath of a terrorist activity. Systems engineering techniques were utilized to analyze the problem space and suggested a plausible solution. Application of unmanned vehicles in the scenario enhanced the reconnaissance, intelligence and surveillance capabilities of the responding forces, while limiting the exposure risk of personnel. One of the many challenges facing unmanned systems in a cluttered environment is a capability to rapidly generate reactive obstacle avoidance trajectories. A direct method of calculus of variations was applied for the unmanned platforms to achieve mission objectives collaboratively, and perform real-time trajectory optimization for a collision-free flight. Dynamic models were created to enable simulated operations within the thesis design scenario. Experiments conducted in an indoor lab verified the unmanned systems ability to avoid obstacles and carry out collaborative missions successfully.
A Multi Agent Based Dynamic Resource Allocation in Fog-Cloud Computing Environment

Cloud high latency limitation has necessitated the introduction of Fog computing paradigm that extends computing infrastructures in the cloud data centers to the edge network. Extended cloud resources provide processing, storage and network services to time sensitive request associated to the Internet of Things (IoT) services in network edge. The rapid increase in adoption of IoT devices, variations in user requirements, limited processing and storage capacity of fog resources and problem of fog resources over saturation has made provisioning and allotment of computing resources in fog environment a formidable task. Satisfying application and request deadline is the most substantial challenge compared to other dynamic variations in parameters of client requirements. To curtail these issues, the integrated fog-cloud computing environment and efficient resource selection method is highly required. This paper proposed an agent based dynamic resource allocation that employs the use of host agent to analyze the QoSrequirements of application and request and select a suitable execution layer. The host agent forwards the application request to a layer agent which is responsible for the allocation of best resource that satisfies the requirement of the application request. Host agent and layers agents maintains resource information tables for matching of task and computing resources. CloudSim toolkit functionalities were extended to simulate a realistic fog environment where the proposed method is evaluated. The experimental results proved that the proposed method performs better in terms of processing time, latency and percentage QoS delivery. HIGHLIGHTS The distance between the cloud infrastructure and the edge IoT devices makes the cloud not too competent for some IoT applications, especially the sensitive ones To minimize the latency in the cloud and ensure prompt response to user requests, Fog computing, which extends the cloud services to edge network was introduced The proliferation in adoption of IoT devices and fog resource limitations has made resource scheduling in fog computing a tedious one GRAPHICAL ABSTRACT
Anorectal dysfunction in multiple sclerosis patients: A pilot study on the effect of an individualized rehabilitation approach

BACKGROUND: Anorectal dysfunction (ARD), especially bowel incontinence, frequently compromises the quality of life in multiple sclerosis (MS) patients. The effect of rehabilitation procedures has not been clearly established. OBJECTIVE: To determine the effect of an individualized rehabilitation approach on bowel incontinence and anorectal pressures. METHODS: MS patients with ARD underwent 6-months of individually targeted biofeedback rehabilitation. High resolution anorectal manometry (HRAM) and St. Mark’s Fecal Incontinence Scores (SMIS) were completed prior to rehabilitation, after 10 weeks of supervised physiotherapy, and after 3 months of self-treatment. RESULTS: Ten patients (50%) completed the study. Repeated measures analysis of variance (ANOVA) demonstrated significant improvement in the SMIS questionnaire over time [14.00 baseline vs. 9.70 after supervised physiotherapy vs. 9.30 after self-treatment (p = 0.005)]. No significant improvements over time were noted in any HRAM readings: maximal pressure [49.85 mmHg baseline vs. 57.60 after supervised physiotherapy vs. 60.88 after self-treatment (p = 0.58)], pressure endurance [36.41 vs. 46.89 vs. 49.95 (p = 0.53)], resting pressure [55.83, vs 52.69 vs. 51.84 (p = 0.704)], or area under the curve [230.0 vs. 520.8 vs. 501.9 (p = 0.16)]. CONCLUSIONS: The proposed individualized rehabilitation program supports a positive overall effect on anorectal dysfunction in MS patients.
Influence of Watering Solution and Phenotype on the Growth of in Vitro Propagated Pineapple (Smooth Cayenne Cultivar) Plantlets during Acclimatization

Pineapple is the first fruit crop cultivated in south Benin that greatly contributes for food and nutritional security and farmers’ income. But the lack of homogenous planting material constitutes the major constraint for improving pineapple yield. In vitro micropropagation is now used in the production of homogenous and free disease planting materials of pineapple. However, the acclimatization to natural condition of pineapple plantlets is an important step in planting material production of this crop. Here, we determined the intrinsic and extrinsic factors which influence the behavior of plantlets during the acclimatization process. For this purpose, plantlets from different categories were selected, trimmed and planted on a horticultural substrate made up of potting soil, white sawdust and compost previously sterilized. The plantlets were then incubated in under acclimatization greenhouse with average temperature of 29˚C and 70.2% of humidity. A batch of plantlets was subjected to two different watering solutions: Shive and Robbins solution and NPK 14-6-5 the root system were those which were successfully grown in acclimatization phase under greenhouse, unlike plantlets with erected pores having lower success rate. This study goes a long way in providing good procedures of acclimatization of homogenous and free disease planting material of pineapple to the famers.
Detection of Iris Presentation Attacks Using Feature Fusion of Thepade’s Sorted Block Truncation Coding with Gray-Level Co-Occurrence Matrix Features

Iris biometric detection provides contactless authentication, preventing the spread of COVID-19-like contagious diseases. However, these systems are prone to spoofing attacks attempted with the help of contact lenses, replayed video, and print attacks, making them vulnerable and unsafe. This paper proposes the iris liveness detection (ILD) method to mitigate spoofing attacks, taking global-level features of Thepade’s sorted block truncation coding (TSBTC) and local-level features of the gray-level co-occurrence matrix (GLCM) of the iris image. Thepade’s SBTC extracts global color texture content as features, and GLCM extracts local fine-texture details. The fusion of global and local content presentation may help distinguish between live and non-live iris samples. The fusion of Thepade’s SBTC with GLCM features is considered in experimental validations of the proposed method. The features are used to train nine assorted machine learning classifiers, including naïve Bayes (NB), decision tree (J48), support vector machine (SVM), random forest (RF), multilayer perceptron (MLP), and ensembles (SVM + RF + NB, SVM + RF + RT, RF + SVM + MLP, J48 + RF + MLP) for ILD. Accuracy, precision, recall, and F-measure are used to evaluate the performance of the projected ILD variants. The experimentation was carried out on four standard benchmark datasets, and our proposed model showed improved results with the feature fusion approach. The proposed fusion approach gave 99.68% accuracy using the RF + J48 + MLP ensemble of classifiers, immediately followed by the RF algorithm, which gave 95.57%. The better capability of iris liveness detection will improve human–computer interaction and security in the cyber-physical space by improving person validation.
GC-MS-based metabolomics for the detection of adulteration in oregano samples

Oregano is one of the most used culinary herb and it is often adulterated with cheaper plants. In this study, GC-MS is used for identification and quantification of metabolites from 104 samples of oregano (Origanum vulgare and O. onites) adulterated with olive (Olea europaea), venetian sumac (Cotinus coggygria), and myrtle (Myrtus communis) leaves, at five different concentration levels. The metabolomics profiles obtained after two-step derivatization involving methoxyamination and silanization were subjected to multivariate data analysis to reveal markers of adulteration and to build the regression models on the basis of the oregano-to-adulterants mixing ratio. Orthogonal Partial Least Squares enabled detection of oregano adulterations with olive, Venetian sumac, and myrtle leaves. Sorbitol levels distinguished oregano samples adulterated with olive leaves, while shikimic and quinic acids were recognized as discrimination factor for adulteration of oregano with venetian sumac. Fructose and quinic acid levels correlated with oregano adulteration with myrtle. Orthogonal Partial Least Squares Discriminant Analysis enabled discrimination of O. vulgare and O. onites samples, where catechollactate was found to be discriminating metabolite.
PyComm: Malicious commands detection model for python scripts

Python is a concise language which can be used to build lightweight tools or dynamic object-orientated applications. The various attributes of Python have made it attractive to numerous malware authors. Attackers often embed malicious shell commands into Python scripts for illegal operations. However, traditional static analysis methods are not feasible to detect this kind of attack because they focus on common features and failure in finding those malicious commands. On the other hand, dynamic analysis is not optimal in this case for its time-consuming and inefficient. In this paper, we propose PyComm, a model for detecting malicious commands in Python scripts with multidimensional features based on machine learning, which considers both 12 statistical features and string sequences of Python source code. Meanwhile, three comparison experiments are designed to evaluate the validity of proposed method. Experimental results show that presented model has achieved an excellent performance based on those practical features and random forest (RF) algorithm, obtained an accuracy of 0.955 with a recall of 0.943.
Effect of single and hybrid pattern textured tools on turning process performance

ABSTRACT High tool wear, poor product quality, and environmental damage are the outcomes during conventional machining of AISI 316 material with the conventional cutting tool. To minimize these decremental effects, textured tools were developed in the present work and machinability studies were conducted on AISI316 with developed tools under dry and Minimum Quantity Lubrication (MQL) environment. In the present work, single pattern textured tools (T-1 tool) and hybrid pattern textured tools (T-2 tool) were fabricated using laser technology. From the present study, paramount results were found in the MQL condition with textured tools over the dry condition. However, the T-2 tool considerably reduced the cutting temperature (Tc), tool flank wear (Vb), and surface roughness (Ra) to a maximum of 18, 9, and 36% respectively over the T-1 tool under MQL condition. The proposed hybrid textured tools under MQL are a promising technique meeting the demand of higher productivity and sustainability associated with environment and coolant cost.
Asymmetrical Doherty power architecture with an integrated driver stage in the auxiliary branch

This contribution presents the analysis, design and characterization of a high gain Doherty power amplifier implementing an integrated Driver stage in the Auxiliary branch. Guidelines and design equations are demonstrated, fulfilling the full integration of the whole new architecture. The development of a microwave monolithic integrated circuit prototype based on TriQuint GaN technology for 7 GHz applications is reported. 10.5 dB of Gain, 38.1 dBm of saturated output power and 42% of efficiency at 7 dB of output back‐off have been demonstrated by experimental results. © 2014 Wiley Periodicals, Inc. Int J RF and Microwave CAE 24:498–507, 2014.
Switching Power Supply Design

Using this book as a guide, Pressman promises, even a novice can immediately design a complete switching power supply circuit. No other book has such complete instruction in one volume. Using a tutorial, how-to approach, Pressman covers every aspect of this new technology, including circuit and transformer design, using higher switching frequencies, new topologies, and integrated PWM chips. For this latest edition, Pressman has added in-depth discussion of power factor correction, high-frequency ballasts for fluorescent lamps, and low-input voltage power supplies for laptop computers. Table of contents Part I:Fundamental Switching Regulators Buck, Boost, and Investor Topologies.Push-Pull and Forward Converter Topologies.Half- and Full-Bridge Converter Topologies.Flyback Converter Topologies.Current-Mode and Current-Fed Topologies.Miscellaneous Topologies.Part II: Magnetics and Circuits Designs.Transformer and Magnetic Design.Bipolar Power Translator Base Drives.MOSFET Power Transistors and Input Drive Circuits.Magnetic-Amplifier Postregulators.Turnon, Turnoff Switching Losses and Snubbers.Feedback-Loop Stabilization.Resonant Converters.Part III: Typical Switching Power Supply Warehouse.Part IV: Newer Applications for Switching Power Supply Technique.Power Factor, Power Factor Correction.High-Frequency Power Sources for Fluorescent Lamps.Low-Input-Voltage Regulators for Laptop Computers and Portable Electronics.
Don't obliterate, informate!: BPR for the information age

This article takes the view that BPR in the dominant form in which it is presently characterised, is a re-expression of industrial age classical administration. As such it is oblivious of organization as a political entity or as a set of ‘human resources' . What is needed is a new model of BPR for the information age.
New core structure and manufacturing method for high efficiency of permanent magnet motors

This paper presents a new core structure we call "a joint-lapped core" for a permanent magnet motor. Since the joint-lapped core can be deformed into a suitable form to winding, the wires aligned and a high space factor is achieved (75%). Furthermore, it is clarified that circularity and rigidity of the joint-lapped core are improved to the same grade as a nonseparate core by shrink-fit in a frame. As a result of applying this core to the motor for compressors, efficiency is improved by 2.6 point at the maximum compared with the motor with nonseparate core.
Solution-Focused Groupwork

PART I : BASICS AND BACKGROUND Groupwork and Solution-Focused Brief Therapy The Principles of Solution-Focused Groupwork The Dynamics of Solution-Focused Groups PART II : THE LIFECYCLE OF SOLUTION-FOCUSED GROUPS Designing a Solution-Focused Group Engaging and Motivating Clients to Attend The Stages of Solution-Focused Groupwork PART III : MANAGING PROCESS - KEEPING GROUPS SOLUTION-FOCUSED Evaluating Groups: Ensuring They Remain on Target Managing 'Difficult' Groups Creative Exercises to Enhance Group Process Group Supervision A Solution-Focused Reflecting Team Model