Miracle-dz/UniFAR-FTUs huggingface dataset:
A Critical Analysis of Industrial Human-Robot Communication and Its Quest for Naturalness Through the Lens of Complexity Theory

Human-robot communication is one of the actively researched fields to enable efficient and seamless collaboration between a human and an intelligent industrial robotic system. The field finds its roots in human communication with the aim to achieve the “naturalness” inherent in the latter. Industrial human-robot communication pursues communication with simplistic commands and gestures, which is not representative of an uncontrolled real-world industrial environment. In addition, naturalness in communication is a consequence of its dynamism, typically ignored as a design criterion in industrial human-robot communication. Complexity Theory-based natural communication models allow for a more accurate representation of human communication which, when adapted, could also benefit the field of human-robot communication. This paper presents a perspective by reviewing the state of human-robot communication in industrial settings and then presents a critical analysis of the same through the lens of Complexity Theory. Furthermore, the work identifies research gaps in the aforementioned field, fulfilling which, would propel the field towards a truly natural form of communication. Finally, the work briefly discusses a general framework that leverages the experiential learning of data-based techniques and naturalness of human knowledge.
Essential Roles and Risks of G-Quadruplex Regulation: Recognition Targets of ALS-Linked TDP-43 and FUS

A non-canonical DNA/RNA structure, G-quadruplex (G4), is a unique structure formed by two or more guanine quartets, which associate through Hoogsteen hydrogen bonding leading to form a square planar arrangement. A set of RNA-binding proteins specifically recognize G4 structures and play certain unique physiological roles. These G4-binding proteins form ribonucleoprotein (RNP) through a physicochemical phenomenon called liquid-liquid phase separation (LLPS). G4-containing RNP granules are identified in both prokaryotes and eukaryotes, but extensive studies have been performed in eukaryotes. We have been involved in analyses of the roles of G4-containing RNAs recognized by two G4-RNA-binding proteins, TDP-43 and FUS, which both are the amyotrophic lateral sclerosis (ALS) causative gene products. These RNA-binding proteins play the essential roles in both G4 recognition and LLPS, but they also carry the risk of agglutination. The biological significance of G4-binding proteins is controlled through unique 3D structure of G4, of which the risk of conformational stability is influenced by environmental conditions such as monovalent metals and guanine oxidation.
OsSPL88 Encodes a Cullin Protein that Regulates Rice Growth and Development

Plant lesion mimics refer to necrotic spots spontaneously produced by the plant without mechanical damage, pathogen invasion, and adversity stress. Here, we isolated and characterized two rice (Oryza sativa L) mutants, namely, spl88-1 (spotted leaf88-1) and spl88-2 (spotted leaf88-2), which were identified from an ethyl methanesulfonate-mutagenized japonica cultivar Xiushui 11 population. Physiological and biochemical experiments indicated that more ROS accumulated in spl88-1 and spl88-2 than in wild type. spl88-1 and spl88-2 displayed spontaneous cell death and enhanced their resistance to bacterial blight by affecting the expression of defense-related genes. We isolated SPL88 by map-based cloning, which encoded a highly conserved Cullin protein. A single base deletion was detected in spl88-1 and spl88-2, in which the 132nd base C of SPL88-1 and the 381th base T of SPL88-2 were deleted, causing premature termination of protein translation. SPL88 was expressed in root, stem, leaf, leaf sheath, and panicle. The Cullin protein was localized in the cytoplasm and nucleus. The aforementioned results indicate that SPL88 regulates the growth and development of rice by affecting the expression of defense-related genes.
Comparative Transcriptome Analysis Reveals Regulatory Factors Involved in Vibrio Parahaemolyticus Biofilm Formation

Vibrio parahaemolyticus biofilm poses a serious threat to food safety and human health. However, there is limited knowledge of transcriptional regulatory mechanism during the biofilm formation of this organism. Hence, the RNA sequencing technique was employed to compare the differences in transcriptome profiles between planktonic and biofilm state of V. parahaemolyticus ATCC33847 in this study. Collections of mRNA from planktonic and biofilm cells cultured at 25°C for 36 h were sequenced by studying their biological characteristics. The results showed that there were significant differences in the expression levels of 956 genes in biofilms compared with planktonic cells. These differences suggested that two-component regulatory system (TCS) and quorum sensing (QS) regulated V. parahaemolyticus biofilm formation by affecting important factors such as flagellar motility, Extracellular polymeric substance (EPS) secretion, tripartite ATP-independent (TRAP) transport system and ATP binding cassette (ABC) transport system. The present work in transcriptomics serves as a basis for future studies examining the complex network systems that regulate bacterial biofilm formation.
Developing Connectedness to Nature in Urban Outdoor Settings: A Potential Pathway Through Awe, Solitude, and Leisure

Outdoor leisure experiences may represent an understudied yet effective pathway to promote connectedness to nature for urban park visitors. In contrast to outdoor recreation, this critical essay argues outdoor leisure more heavily emphasizes eudaimonic sentiments and intrinsic motivation in comparison with the goal-oriented and hedonic nature of outdoor recreation. It is further argued that two specific social psychological constructs, awe and solitude, may be especially useful in promoting leisure experiences in urban outdoor spaces. Relevant philosophical and social psychological literature is reviewed and synthesized to outline how land managers and environmental educators may facilitate experiences of awe and solitude to better promote contexts for experiencing outdoor leisure in urban parks. Specifically, reviewed literature suggests that utilizing the recreation opportunity spectrum framework and co-creative processes may be an effective path forward in better supporting urban park environments that are conducive to awe, solitude, and leisure. The review and synthesis of this research may ultimately guide environmental educators, land managers, and researchers in ways to more effectively support connectedness to nature via outdoor leisure experiences as an outcome for visitors to outdoor urban spaces.
Overfishing Increases the Carbon Footprint of Seafood Production From Small-Scale Fisheries

Small-scale fisheries (SSFs) and the foods they produce are extremely important, contributing 25–50% of global seafood landed for direct consumption. In some cases, SSFs provide seafoods with an exceptionally low carbon footprint, but like all food, it is important to understand the factors that regulate that footprint in the face of increasing demand and a worsening climate-ecological crisis. We utilize long-term fisheries monitoring data from Northwest Mexico to generate novel stock assessments and, subsequently, test the relationship between underlying fishery biomass and fuel intensity observed among several motorized SSFs. Using fuel data from over 4,000 individual fishing trips, in combination with estimated biomass data for 19 regional stocks, we show that the fuel footprint per kilogram of seafood increases sharply as the stock’s underlying annual biomass (B) falls below its estimated biomass at Maximum Sustainable Yield (BMSY ). We find an inverse relationship between B/BMSY and fuel intensity using a test for simple correlation between the two (r= -0.44), a linear regression analysis (R2 adj. = 0.17), and a mixed-effects model with gear type, year, and genus modelled as random effects. These results indicate that efforts to end overfishing, rebuild fishery stocks, and/or minimize intensive fishing practices will help to decrease the carbon emissions generated by motorized wild-catch fishing. We anticipate that this study will contribute an important “missing link” to discussions on how best to secure climate-resilient fisheries and, ideally, help SSF stakeholders garner recognition and support for SSFs in this context.
Supplementary Notes to Math 551-Numerical Methods, Spring 2009

I will try to maintain here a record of my lectures, with varying levels of detail, as a supplement to our text [CM]. This is not meant to replace or completely reproduce the lectures. Please let me know if you spot any typos or errors. I will also post pdf files of older notes when necessary and type them up here in this latex file as frequently as I can manage. (Students who want to learn latex, can volunteer to help! I will send you the latex file as a sample to help you get started.) A good supplement to our text is the book [CVL]. It contains some more detailed derivations and some analysis (one theorem per chapter) of the many of the methods we will be discussing. Some of my notes here and in class will follow [CVL]. Another text to be aware of in [TB] which we use frequently in our Math 751, Numerical Linear Algebra course offered each Fall. I will adopt the idea there of introducing the singular value decomposition almost immediately, since it sheds so much light on the properties of matrices and linear systems Ax = b which will be an ongoing concern to us. A glance at the table of contents of our text [CM] will show you that this course will probably draw from every undergraduate math course that you have taken from calculus to differential equations to linear algebra. The point of this course is to develop efficient, accurate, and reliable methods for computing numerical solutions to many of the problems you have discussed in your core mathematics courses. You will need access to MATLAB and are advised to get the Student Edition of MATLAB.
Is Location Everything? Regulation of the Endothelial CCM Signaling Complex

Recent advances have steadily increased the number of proteins and pathways known to be involved in the development of cerebral cavernous malformation (CCM). Our ability to synthesize this information into a cohesive and accurate signaling model is limited, however, by significant gaps in our knowledge of how the core CCM proteins, whose loss of function drives development of CCM, are regulated. Here, we review what is known about the regulation of the three core CCM proteins, the scaffolds KRIT1, CCM2, and CCM3, with an emphasis on binding interactions and subcellular location, which frequently control scaffolding protein function. We highlight recent work that challenges the current model of CCM complex signaling and provide recommendations for future studies needed to address the large number of outstanding questions.
On the investigation of cascode power amplifiers for 5G applications

BiCMOS processes provide not only standard NMOS devices, but also high‐performance SiGe HBTs, facilitating simultaneous use of both NMOS and HBT. This article adopts the advantages of both HBT and NMOS to achieve a high‐gain, high‐power, and efficient power amplifier (PA). Through an analysis of cascode amplifiers implementing different combinations of HBT and NMOS, a high‐performance 28‐GHz BiCMOS PA, which combines both HBT and body‐floating NMOS strengths to achieve 15.7‐dB gain, 19.6‐dBm saturated output power (Psat), 17.5‐dBm output 1‐dB compression (OP1dB), and 28.8% maximum PAE, is proposed for 5G applications.
Inoculation Theory and Affect

Although affect factors into most theoretical explanations for inoculation-conferred resistance to influence, it has received comparably less attention than its cognitive features. What we do know from extant research, however, is important for our understanding of resistance to influence. This review surveys research in affect and inoculation theory with special attention to how affect can bolster or thwart resistance; how affective messages function in comparison with other approaches; and the role of specific emotions, like anger, in inoculation. It provides an overview of the conventional inoculation theoretical model and a careful reading of what we can learn from research exploring issues of affect in inoculation.
Enhancement the Dynamic Performance of Islanded Microgrid Using a Coordination of Frequency Control and Digital Protection

Abstract This paper presents an assortment study between the virtual inertia control (VIC)-based a new optimal PID controller, load frequency control (LFC), and the digital protection for an islanded microgrid (MG) taking into consideration the emerging level of renewable energy resources (RERs), which is a promising solution. However, the reduction in system inertia due to increasing the amount of RERs causes undesirable impact to MG dynamic stability, threatens the system security, and could lead to complete blackouts as well as damages to the system equipment. Therefore, maintaining the dynamic security in MGs is one of the important challenges, which considered in this paper using a specific design of a digital over/under frequency relay (OUFR) with coordination of the VIC to protect the MG against high-frequency variations. To prove the effectiveness of the proposed coordination strategy, it has been tested considering sudden load change, high integration of RERs. Moreover, the sensitivity analysis of the presented technique was examined by varying the inertia level of MG system. The results stated that the proposed coordination can effectively regulate the MG frequency and maintain the dynamic stability and security.
Translation of SARS-CoV-2 gRNA Is Extremely Efficient and Competitive despite a High Degree of Secondary Structures and the Presence of an uORF

The SARS-CoV-2 infection generates up to nine different sub-genomic mRNAs (sgRNAs), in addition to the genomic RNA (gRNA). The 5′UTR of each viral mRNA shares the first 75 nucleotides (nt.) at their 5′end, called the leader, but differentiates by a variable sequence (0 to 190 nt. long) that follows the leader. As a result, each viral mRNA has its own specific 5′UTR in term of length, RNA structure, uORF and Kozak context; each one of these characteristics could affect mRNA expression. In this study, we have measured and compared translational efficiency of each of the ten viral transcripts. Our data show that most of them are very efficiently translated in all translational systems tested. Surprisingly, the gRNA 5′UTR, which is the longest and the most structured, was also the most efficient to initiate translation. This property is conserved in the 5′UTR of SARS-CoV-1 but not in MERS-CoV strain, mainly due to the regulation imposed by the uORF. Interestingly, the translation initiation mechanism on the SARS-CoV-2 gRNA 5′UTR requires the cap structure and the components of the eIF4F complex but showed no dependence in the presence of the poly(A) tail in vitro. Our data strongly suggest that translation initiation on SARS-CoV-2 mRNAs occurs via an unusual cap-dependent mechanism.
Applying Artistic Style Transfer to Natural Language

Machine learning has been employed in text generation with varying levels of success, with such projects as chatbots and Twitterbots impersonating an actual human being. However, these methods often work through identity mimicry. They say phrases that their archetype would have said, assuming a speciﬁc persona. Not yet has the problem been approached with the goal of purely capturing style - that is, being able to take any sentence, and while preserving its meaning transform it into the style of a different speaker or author. In the visual arts, however, this problem has been explored. Artistic style transfer takes two images, and applies the style of one to the content of the other. We aim to apply the methodology of visual artistic style transfer to the realm of natural language. We deﬁne a style cost and a content cost, and by minimizing the two we acquire the style transferred sentence. By using an author classiﬁer, we are able to rate the similarity of the styles of an input text and a source text, effectively acting as a cost function for style. For content, we apply average pooling to the input and proposed output phrases to get a rough approximation of content similarity while enabling ﬂexibility in sentence structure.
APPLICATION OF TOPSIS, MAIRCA AND EAMR METHODS FOR MULTI-CRITERIA DECISION MAKING IN CUBIC BORON NITRIDE GRINDING

(MCDM) study on CBN grinding of cylindrical-shaped parts on CNC milling machines. Three MCDM methods, including TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), MAIRCA (Multi-Attributive Ideal-Real Comparative Ana-lysis), and EAMR (Evaluation by an Area-based Method of Ranking) were applied in this work. Besides, MEREC (Method based on the Removal Effects of Criteria) and Entropy methods were used to determine the weights of the criteria. In addition, the Taguchi method with L18 orthogonal array (6 ^1 +3 ^3 ) design was used for the design of an experiment, which has four input factors including the depth of dressing cut, the spindle speed, the feed rate, and the wheel diameter. Two criteria, including the surface roughness (SR) and the material removal speed (MRS) were selected as the response outputs. The reason for choosing these two criteria is SR and MRS are very important output factors of a mechanical machining process as well as of the CBN grinding process on a CNC milling machine. In these two criteria are always in conflict with each other. small values of the feed speed and the depth of the reduction of MRS. the results of this study, the use of different methods for MCDM was evaluated. In rankings of alternatives have been given according to MCDM methods. Furthermore, the best alternative to guarantee both the minimum SR and the maximum MRS has been foundKeywords:
A sian Journal of Hospital Pharmacy Review on pediatric seizures - a prospective study on drug utilization pattern and its outcome

Objectives: The objective of this study is to evaluate the drug utilization pattern and to observe possible treatment outcomes. Methods: A Non-experimental prospective observational study has been carried out in tertiary care hospital for a period of six months. A total number of 181 pediatric inpatients of age 1- 14 years with seizures were included and evaluated. The patient’s case history was collected based on a data collection form designed for the study. Results: In our study, we observed that female patients are more prevalent. Prevalence of seizures is high among the age group 1-5years and low among 11-14 years. Tonic-clonic (51.3%) types of seizures were commonly observed, followed by febrile seizures (19%). Phenytoin is the most prescribed drug followed by sodium valproate. Monotherapy is observed mostly. The outcome of the therapy is measured by seizure-free period, among which seizure-free observed are more than 74.1%. The incidence of ADRs in the study group is less (6.6%) and phenytoin is the drug with more number of ADRs. Medication adherence is measured in known epileptic patients (n=67) using MMAS, medium adherence seems to be more (49%). Conclusion: This study strongly highlights that the Clinical pharmacist has a pivotal role in conducting drug utilization studies that help in comparing the ongoing regimen with the standard treatment guidelines so as to promote the stupendously rational use of drugs and to minimize or control the incidence of ADRs.
Trust-Building Framework for Blockchain Technology Adoption: The Moderating Role of Quality Practices

This paper presents a conceptual framework to explore the effect of trust in determining the adoption intention of blockchain technology in organizations. To strengthen the arguments on the role of trust in the adoption of blockchain technology, a research model grounded in the diffusion of innovation theory and the trust-building framework is proposed based on a review of an extensive literature. This study will be conducted using an online survey questionnaire. The study findings are expected to support businesses, industry practitioners and the policymakers in gaining insights into the role of trust and utilizing it to promote the adoption of blockchain technology among organizations. From the theoretical side, this study will contribute to the IS body of knowledge on trust determinants and blockchain technology adoption. On the practical side, this study provides insight for public policy makers and organizations to understand key factors affecting blockchain technology adoption.
Risk Factors of Chronic Cough and Wheezing in Outpatient and Hospitalized Children

Background: Wheezing and chronic cough are the most common respiratory disorders in children. They, as a multifactorial disorder, have different respiratory-associated illnesses and occur due to different etiologies. Objectives: In this study, we investigated the correlation between wheezing and cough conditions and different probable risk factors. Methods: This is a cross-sectional and hospital-based study conducted on 485 children with wheezing and chronic cough in hospitalized and outpatients. The pediatrician confirmed these disorders after evaluating children’s respiratory systems. Interns filled out the related standardized questionnaires for evaluating the risk factors. Results: In total, 485 children were evaluated, 268 children (55.3%) were male, and 217 children (44.7%) were female. Smoke and steam were recorded as the most common etiologies and risk factors of chronic cough and wheezing. Other factors evaluated in this study included 14% dust, 9% flowers, and plants, 10.9% cold air, 5.8% sporting, 4.5% spicy, and 35.7% other stimulants foods, and out of these factors had other stimulating factors (P = 0.0001). Conclusions: Based on these findings, lifestyle, diet, location, contact with triggers, treatment, and control of underlying disease, environmental hygiene, and type of fuel consumption may be effective in reducing the symptoms.
Recent Developments of Reconfigurable Antennas for Current and Future Wireless Communication Systems

Reconfigurable antennas play important roles in smart and adaptive systems and are the subject of many research studies. They offer several advantages such as multifunctional capabilities, minimized volume requirements, low front-end processing efforts with no need for a filtering element, good isolation, and sufficient out-of-band rejection; these make them well suited for use in wireless applications such as fourth generation (4G) and fifth generation (5G) mobile terminals. With the use of active materials such as microelectromechanical systems (MEMS), varactor or p-i-n (PIN) diodes, an antenna’s characteristics can be changed through altering the current flow on the antenna structure. If an antenna is to be reconfigurable into many different states, it needs to have an adequate number of active elements. However, a large number of high-quality active elements increases cost, and necessitates complex biasing networks and control circuitry. We review some recently proposed reconfigurable antenna designs suitable for use in wireless communications such as cognitive-ratio (CR), multiple-input multiple-output (MIMO), ultra-wideband (UWB), and 4G/5G mobile terminals. Several examples of antennas with different reconfigurability functions are analyzed and their performances are compared. Characteristics and fundamental properties of reconfigurable antennas with single and multiple reconfigurability modes are investigated.