Miracle-dz/UniFAR-FTUs huggingface dataset:
Dietary plasticity of North American herbivores: a synthesis of stable isotope data over the past 7 million years

Palaeoecological interpretations are based on our understanding of dietary and habitat preferences of fossil taxa. While morphology provides approximations of diets, stable isotope proxies provide insights into the realized diets of animals. We present a synthesis of the isotopic ecologies (δ13C from tooth enamel) of North American mammalian herbivores since approximately 7 Ma. We ask: (i) do morphological interpretations of dietary behaviour agree with stable isotope proxy data? (ii) are grazing taxa specialists, or is grazing a means to broaden the dietary niche? and (iii) how is dietary niche breadth attained in taxa at the local level? We demonstrate that while brachydont taxa are specialized as browsers, hypsodont taxa often have broader diets that included more browse consumption than previously anticipated. It has long been accepted that morphology imposes limits on the diet; this synthesis supports prior work that herbivores with ‘grazing’ adaptions, such as hypsodont teeth, have the ability to consume grass but are also able to eat other foods. Notably, localized dietary breadth of even generalist taxa can be narrow (approx. 30 to 60% of a taxon's overall breadth). This synthesis demonstrates that ‘grazing-adapted’ taxa are varied in their diets across space and time, and this flexibility may reduce competition among ancient herbivores.
Thermal and anticorrosion properties of polyurethane coatings derived from recycled polyethylene terephthalate and palm olein-based polyols

Polyols of palm olein/polyethylene terephthalate (PET) were synthesized by means of incorporating recycled PET from waste drinking bottles in different proportions into palm olein alkyd in the presence of ethylene glycol. The polyols were characterized by FTIR, and theirs hydroxyl value (OHV), acid value (AV) and viscosity were determined. The formulation of the polyurethane coating was carried out by dissolving the polyol in mixed solvent of cyclohexanone/tetrahydrofuran (THF) (4 : 1) followed by reacting 1 hydroxyl equivalent of the polyol with 1.2 equivalents of methylene diphenyldiisocyanate and 0.05% dibutyltin dilaurate (DBTDL) catalyst. The coating cured through the cross-linking reactions between hydroxyl and isocyanate groups. The formation of urethane linkages was established by FTIR spectroscopy. The set films were characterized by thermal analysis. To study their anticorrosion properties, polarization measurements and EIS in 3.5% NaCl solution were determined. The coatings displayed good thermal stability and anticorrosion properties which were supported by XRD analysis. The PU7 coating, with the highest proportion of PET (up to 15% w/w), displayed significantly improved thermal stability and anticorrosion properties. It is evident that the performance of the polyurethane (PU) coatings could be enhanced by the incorporation of PET.
Puckering and wrinkling in a growing composite ring

Pattern formation driven by differential strain in constrained elastic systems is a common motif in many technological and biological systems. Here we introduce a biologically motivated case of elastic patterning that allows us to explore the conditions for the existence of local puckering and global wrinkling patterns: a soft growing composite ring adhered elastically to a constraining rigid ring. We explore how differential growth of the soft ring and the elastic resistance to shear and stretching deformations induced by soft adherence lead to a range of phenomena that include uniform aperture-like modes, localized puckers that are Nambu–Goldstone-like modes and global wrinkles in the system. Our analysis combines computer simulations of a discrete rod model with a nonlinear stability analysis of the differential equations in the continuum limit. We provide phase diagrams and scaling relations that reveal the nature and extent of the deformation patterns. Overall, our study reveals how geometry and mechanics conspire to yield a rich phenomenology that could serve as a guide to the design of programmable localized elastic deformations while being relevant for the mechanical basis of biological morphogenesis.
Age and social experience induced plasticity across brain regions of the paper wasp Polistes fuscatus

Developmental studies of brain volumes can reveal which portions of neural circuits are sensitive to environmental inputs. In social insects, differences in relative investment across brain regions emerge as behavioural repertoires change during ontogeny or as a result of experience. Here, we test the effects of maturation and social experience on morphological brain development in Polistes fuscatus paper wasps, focusing on brain regions involved in visual and olfactory processing. We find that mature wasps regardless of social experience have relatively larger brains than newly emerged wasps and this difference is driven by changes to mushroom body calyx and visual regions but not olfactory processing neuropils. Notably, social wasps invest more in the anterior optic tubercle (AOT), a visual glomerulus involved in colour and object processing in other taxa, relative to other visual integration centres the mushroom body calyces compared with aged socially naive wasps. Differences in developmental plasticity between visual and olfactory neuropil volumes are discussed in light of behavioural maturation in paper wasps, especially as it relates to social recognition. Previous research has shown that P. fuscatus need social experience to develop specialized visual processing of faces, which is used to individually recognize conspecifics. The present study suggests that the AOT is a candidate brain region that could mediate facial processing in this species.
Fibre development in an intensi ﬁ ed mechanical pulping process

: Mechanical pulp for printing paper can be produced with a process that involve much less equipment and that require much lower specific energy compared to conventional processes. Even though common evaluation methods, e.g. handsheet testing, have shown that the pulp quality is similar for the simplified and the conventional processes, it is not known how fibre properties, at the microscopiclevel,isdevelopedwiththesimplifiedprocess.In this mill scale study, the fibre properties attained with an “ intensified ” mechanical pulping process, consisting of single stage high consistency double disc refining followed by two stage low consistency refining and no reject treatment was investigated. The simplified process was compared to a process with a reject system. The simplified process rendered fibres with higher degree of fibrillation, higher share of axial splits, lower fibre wall thickness but slightly lower length than the conventional process. The fibrillar fines size distribution of the two processes was different. The conventional process generated more of small fibrillar fines which probably explains the higher tensileindex at given density for that process. The results show that it is possible to simplify the production process for mechanical pulp and reduce the specific energy with over 700 kWh/adt.
Fish (Oreochromis niloticus) as a Model of Refractive Error Development

Myopia is a common ocular condition worldwide and the mechanism of myopia is still not clear. A number of animal models of myopia and refractive error development have been proposed. The fact that form deprivation myopia could be induced in tilapia fish, as shown previously in my research, suggests the possibility that tilapia could be a new animal model for myopia research. In the first part of this thesis the tilapia model was perfected and then, based on this model, the effect of systemic hormones (thyroid hormones) associated with eye and body development was investigated during refractive error development. Lastly, the physiological and morphological changes on the retina were further studied with optical coherence tomography (OCT). In these experiments, significant amounts of myopia, and hyperopia were induced within two weeks using goggles with lens inserts as in other higher vertebrate animal models, e.g. chicks. The results from form deprivation treatment also show that the sensitivity of tilapia eyes may be an age related effect during the emmetropization process. The larger the fish, the less hyperopic the fish eye, though the small eye artefact may be a factor. The susceptibility of the refractive development of the eye to the visual environment may be also linked to plasma hormone levels. It was found that induced refractive errors could be shifted in the hyperopic direction with high levels of thyroid hormones. Also, after 2 weeks of treatment with negative or positive lens/goggles, the tilapia retina becomes thinner or thicker, respectively. When the goggles are removed, the thickness of the retina changes within hours and gradually returns to normal.
The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game

AI Security researchers have identified a new way crowdsourced data can be intentionally compromised. Backdoor attacks are a process through which an adversary creates a vulnerability in a machine learning model by ? poisoning? ’ the training set by selectively mislabelling images containing a backdoor object. The model continues to perform well on standard testing data but misclassifies on the inputs that contain the backdoor chosen by the adversary. In this paper, we present the design and development of the Backdoor Game, the first game in which users can interact with different poisoned classifiers and upload their own images containing backdoor objects in an engaging way. We conduct semi-structured interviews with eight different participants who interacted with a first version of the Backdoor Game and deploy the game to Mechanical Turk users (N=68) to demonstrate how users interacted with the backdoor objects. We present results including novel types of interactions that emerged as a result of game play and design recommendations for the improvement of the system. The combined design, development and deployment of our system can help AI Security researchers to study this emerging concept, from determining the effectiveness of different backdoor objects to help compiling a collection of diverse and unique backdoor objects from the public, increasing the safety of future AI systems.
Human-in-the-loop Pose Estimation via Shared Autonomy

Reliable, efficient shared autonomy requires balancing human operation and robot automation on complex tasks, such as dexterous manipulation. Adding to the difficulty of shared autonomy is a robot’s limited ability to perceive the 6 degree-of-freedom pose of objects, which is essential to perform manipulations those objects afforded. Inspired by Monte Carlo Localization, we propose a generative human-in-the-loop approach to estimating object pose. We characterize the performance of our mixed-initiative 3D registration approach using 2D pointing devices via a user study. Seeking an analog for Fitts’s Law for 3D registration, we introduce a new evaluation framework that takes the entire registration process into account instead of only the outcome. When combined with estimates of registration confidence, we posit that mixed-initiative registration will reduce the human workload while maintaining or even improving final pose estimation accuracy.
Multimodal Emotion Recognition of Hand-Object Interaction

In this paper, we investigate whether information related to touches and rotations impressed to an object can be effectively used to classify the emotion of the agent manipulating it. We specifically focus on sequences of basic actions (e.g., grasping, rotating), which are constituents of daily interactions. We use the iCube, a 5 cm cube covered with tactile sensors and embedded with an accelometer, to collect a new dataset including 11 persons performing action sequences associated with 4 emotions: anger, sadness, excitement and gratitude. Next, we propose 17 high-level hand-crafted features based on the tactile and kinematics data derived from the iCube. Twelve of these features vary significantly as a function of the emotional context in which the action sequence was performed. In particular, a larger surface of the object is engaged in physical contact for anger and excitement, than for sadness. Furthermore, the average duration of interactions labeled as sad, is longer than for the remaining 3 emotions. More rotations are performed for anger and excitement than for sadness and gratitude. The accuracy of a classification experiment in the case of four emotions reaches 0.75. This result shows that the emotion recognition during hand-object interactions is possible and it may foster development of new intelligent user interfaces.
“Going Out” and Going In-House: Chinese Multinationals’ Internal Legal Capacity in the United States

The “in-house counsel movement” of the past few decades, with its far-reaching implications for the legal profession, the legal service market, and corporate governance, has attracted a great deal of academic attention. Few scholars, however, have examined the global expansion of emerging market companies and their in-house legal capacity. To narrow the gap, this article investigates the in-house legal capacity of Chinese firms in the United States. In doing so, it focuses on two important yet underexplored questions: (1) whether and how institutions in China influence the capacity building; and (2) whether the Chinese investors’ ownership structure makes a difference in that regard. By analyzing a unique set of survey data and 122 interviews with lawyers, in-house counsel, and business executives, this article uncovers evidence of both multi-institutional influence and state-ownership effects. The findings contribute to theoretical and policy debates about the legal profession, the legal service market, and the ramifications of expanding Chinese multinational companies.
Post-Leave (Return to Work) Training Needs and Human Resource Development

The Problem Employee leave is impacted by a variety of laws that address employer obligations and employee responsibilities. While the employee leave process is managed by an organization’s Human Resource Management (HRM) function, in most cases these laws and internal organizational policies and procedures do not address the training needs related to the employee’s return to work and subsequent integration into the workplace. Training, and Development is a component of Human Resource Development (HRD) and thus HRD should be largely involved in the employee’s transition back to work. In addition, supervisors/managers should examine their role in to evaluating the training needs of the employee and facilitating a successful post-leave return to work. The HRD literature can benefit from an integrated model of. The Solution This article reviews an important workplace phenomenon existing at the intersection of Human Resource Management (HRM) policies related to employee leave and HRD practices related to addressing training needs upon return to work and emphasizing employee orientation and integration back into the workforce. As a major component of HRD, Organization Development (OD) can also be employed to create a supportive organizational culture for employees on leave. We synthesize existing research on post-leave and rely on the HRD literature to propose solutions that highlight employee training and development interventions. Recommendations for practitioners include how to improve the workplace environment for employees prior to their leave as well as upon return, how to enhance the existence of orientation programs, and how to properly train managers to work well with employees and assess their training needs upon return from leave. The Stakeholders HRD practitioners that are looking to improve leave policies and documented practices as they pertain to the performance and training needs of leave-taking employees upon returning to work as well as managers that strive to ensure returning employees have the knowledge and skills necessary to regain previous levels of competence and productivity will be interested in this research.
Chicken muscle derived progenitors as a source for testing free radical scavenging activity.

Herbalist and folk practitioners have used plant remedies for centuries, but only recently scientists have begun to study the powers of common herbs and spices. Indians traditionally use herbs and spices in food preparations that are rich in antioxidants. They are potent inhibitors of tissue damage and inflammation caused by high levels of blood sugar and circulating lipids. These developments are well underway through evidence-based frameworks for substantiating health claims related to foods. Herbal fortification is a new trend to improve nutritional value of the food. Herbs such as Ocimum sanctum, Withania somnifera, Phyllanthus amarus and Myristica fragrans are proven for their unique properties in food preparations for their free radical scavenging activity to combat oxidative cellular damages. During intense skeletal muscle contractile activity myotubes mitochondria generate high ROS flow which makes skeletal muscle a tissue where ROS hold a particular relevance. The net effect of ROS on cell signaling pathways and its fate depends on the cellular antioxidant capacity. Thus, muscle progenitor cells would be ideal models for antioxidant profile testing of bioactives. Hence the medicinal herbs with proven health benefits were analyzed for free radical scavenging activity. The results supported that the muscle progenitors are suitable and appropriate source for antioxidant profiles of herbal drugs. Moreover, it was observed that the herbs exhibited synergistic activity in combination and therefore higher antioxidant activity as compared to herbs tested individually.
Reducing vascular complications of large‐bore sheaths removal with a novel post‐closure technique: Adapt and evolve

• Vascular complications after structural heart intervention and use of percutaneous mechanical circulatory support predominantly result from vascular closure device failure. • This study showed the safety and feasibility of a novel “post-closing” technique using two Perclose Proglides, based on proximation of the large-size arteriotomy by pushing two stiff guidewires apart. • Future randomized studies should compare this novel suture-based vascular closure technique with plug-based vascular closure devices, such as MANTA.
SCMA Decoding via Deep Learning

Sparse code multiple access (SCMA) has become a highly competitive technology for future cellular systems. For the receiver of the SCMA system, besides the traditional maximum likelihood and message passing algorithm solutions, a deep neural network (DNN) method that causes whirlwinds in image recognition can reduce the computational complexity of the decoder. We expect low complexity while maintaining a satisfactory bit error rate (BER) performance. As shown in our simulations, our proposed solution has better BER performance and lower computational complexity than other previously studied DNN solutions.
A Successful Three-Phase Metaheuristic for the Shift Minimization Personal Task Scheduling Problem

Workforce scheduling process consists of three major phases: workload prediction, shift generation, and staff rostering. Shift generation is the process of transforming the determined workload into shifts as accurately as possible. The Shift Minimization Personnel Task Scheduling Problem (SMPTSP) is a problem in which a set of tasks with fixed start and finish times must be allocated to a heterogeneous workforce. We show that the presented three-phase metaheuristic can successfully solve the most challenging SMPTSP benchmark instances. The metaheuristic was able to solve 44 of the 47 instances to optimality. The metaheuristic produced the best overall results compared to the previously published methods. The results were generated as a by-product when solving a more complicated General Task-based Shift Generation Problem. The metaheuristic generated comparable results to the methods using commercial MILP solvers as part of the solution process. The presented method is suitable for application in large real-world scenarios. Application areas include cleaning, home care, guarding, manufacturing, and delivery of goods.
Quantized Polar Transmitters for Power Efficient Massive MIMO Systems

This letter investigates the feasibility of the quantized digital polar transmitter architecture in a downlink multi-user massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system, where a low amplitude resolution and a moderate phase resolution are utilized. We derive a lower bound on the average sum-rate achievable with Gaussian signaling inputs and linear precoding by a simple diagonal approximation for the quantization distortion. The analysis and simulations demonstrate that the quantized polar transmitter can enable excellent performance in terms of average sum-rate throughput, symbol error rate (SER), and out-of-band (OOB) emission level, thus providing an attractive option for the traditional Cartesian architecture.
Image Decomposing by Discrete Wavelet Transform in the Image Retrieval Systems

: A better content based image retrieval is possible when the image pseudo hash is able to work in the wavelet transform. While decomposing the images, we identified the important wavelet detail coefficients to compose the pseudo-hash. We considered the pseudo-hashes of the images rather than the images directly to search the digital images in the large databases.
A Combined Short Time Fourier Transform and Image Classification Transformer Model for Rolling Element Bearings Fault Diagnosis in Electric Motors

The most frequent faults in rotating electrical machines occur in their rolling element bearings. Thus, an effective health diagnosis mechanism of rolling element bearings is necessary from operational and economical points of view. Recently, convolutional neural networks (CNNs) have been proposed for bearing fault detection and identification. However, two major drawbacks of these models are (a) their lack of ability to capture global information about the input vector and to derive knowledge about the statistical properties of the latter and (b) the high demand for computational resources. In this paper, short time Fourier transform (STFT) is proposed as a pre-processing step to acquire time-frequency representation vibration images from raw data in variable healthy or faulty conditions. To diagnose and classify the vibration images, the image classification transformer (ICT), inspired from the transformers used for natural language processing, has been suitably adapted to work as an image classifier trained in a supervised manner and is also proposed as an alternative method to CNNs. Simulation results on a famous and well-established rolling element bearing fault detection benchmark show the effectiveness of the proposed method, which achieved 98.3% accuracy (on the test dataset) while requiring substantially fewer computational resources to be trained compared to the CNN approach.