Miracle-dz/UniFAR-FTUs huggingface dataset:
Decay of TRPV3 as the genomic trace of epidermal structure changes in the land‐to‐sea transition of mammals

Abstract The epidermis plays an indispensable barrier function in animals. Some species have evolved unique epidermal structures to adapt to different environments. Aquatic and semi‐aquatic mammals (cetaceans, manatees, and hippopotamus) are good models to study the evolution of epidermal structures because of their exceptionally thickened stratum spinosum, the lack of stratum granulosum, and the parakeratotic stratum corneum. This study aimed to analyze an upstream regulatory gene transient receptor potential cation channel, subfamily V, member 3 (TRPV3) of epidermal differentiation so as to explore the association between TRPV3 evolution and epidermal changes in mammals. Inactivating mutations were detected in almost all the aquatic cetaceans and several terrestrial mammals. Relaxed selective pressure was examined in the cetacean lineages with inactivated TRPV3, which might contribute to its exceptionally thickened stratum spinosum as the significant thickening of stratum spinosum in TRPV3 knock‐out mouse. However, functional TRPV3 may exist in several terrestrial mammals due to their strong purifying selection, although they have “inactivating mutations. ” Further, for intact sequences, relaxed selective constraints on the TRPV3 gene were also detected in aquatic cetaceans, manatees, and semi‐aquatic hippopotamus. However, they had intact TRPV3, suggesting that the accumulation of inactivating mutations might have lagged behind the relaxed selective pressure. The results of this study revealed the decay of TRPV3 being the genomic trace of epidermal development in aquatic and semi‐aquatic mammals. They provided insights into convergently evolutionary changes of epidermal structures during the transition from the terrestrial to the aquatic environment.
Average Current‐Mode Control of DC‐DC Power Converters

Average Current-Mode Control of DC-DC Power Converters provides comprehensive and up-to-date information about average current-mode control (ACMC) of pulse-width modulated (PWM) dc-dc converters. This invaluable one-stop resource covers both fundamental and state-of-the-art techniques in average current-mode control of power electronic converters? featuring novel smallsignal models of non-isolated and isolated converter topologies with joint and disjoint switching elements and coverage of frequency and time domain analysis of controlled circuits.
Mechanisms of green synthesis of iron nanoparticles using Trifolium alexandrinum extract and degradation of methylene blue

Abstract Iron nanoparticles (FeNPs) were synthesized via sustainable route of green synthesis to investigate their activity as photocatalyst against environmental pollutants. Nanoparticles were synthesized from leaf extract of Trifolium alexandrinum as a source of stabilizing, capping and reducing agent. Structural and morphological features of these synthesized nanoparticles were characterized by using various techniques including UV-Vis spectroscopy, FTIR, XRD, SEM and DLS analysis. FeNPs were successfully applied as photocatalyst to remove the methylene blue (MB). Mechanism of removal was investigated by fitting the data in pseudo-first-order and pseudo-second-order adsorption and reduction models along with intraparticle diffusion model. FeNPs were found highly active with more than 97% degradation of MB within 35 minutes. Stability of catalyst to be reused was checked out and significant results found up to 3 cycles. Nontoxic, low cost, green synthesized FeNPs were proven efficient as catalyst for the degradation of MB.
Dual Caregivers of Persons living with Dementia: The Added Stress of COVID-19 Pandemic

Serving in dual caregiving roles presents challenges and has consequences for caregivers’ physical and mental health. Forty-six dual caregivers in rural southwest Virginia participated in one semi-structured telephone interview pre-pandemic. Of these caregivers, nine dual caregivers of multiple older adults (MOA) and six caregivers of multiple generations (MG) participated in two telephone interviews during the COVID-19 pandemic. Pre-pandemic health, stress, and support data were used to compare dual caregivers of MOA and MG; differences were minimal. Responses to interviews conducted during the pandemic highlighted the effects of social restrictions on MOA and MG caregivers, revealing five themes (1) Increased isolation, (2) Increased need for vigilance, (3) Negative impact on mental health, (4) Tendency to “do it all,” and (5) Increased informal help. MOA and MG caregivers differed on managing care responsibilities and ensuring the health of care recipients. In general, dual caregivers experienced decreased mental health, increased social isolation, and increased caregiving responsibilities. Antecedents of the pandemic experiences differentiated MOA and MG caregiver. Findings suggest that programs and services should target dual caregivers’ unique needs.
Somatic Interventions and Depth of Experiencing in Emotionally Focused Couple Therapy

ABSTRACT Emotionally Focused Couple Therapy (EFT), an attachment-based couple therapy, views emotion as being central to the process of therapeutic change. As affect arousal of emotion is a somatic reaction, the purpose of this study was to focus on therapists’ interventions classified as noting and commenting on clients’ somatic cue of emotional experience, such as their facial expression or posture, in relation to depth of emotional experiencing demonstrated by clients in EFT couple therapy sessions. The sample included 13 therapists, each treating one couple during a single EFT training demonstration session. We coded therapists’ interventions (i.e., commenting on one partner’s somatic cue of emotion). Immediately prior to and following such therapist interventions, we rated the partner’s depth of emotional experiencing. The results of multilevel modeling demonstrated a significant linear increase in terms of depth of partner’s experiencing throughout the session. Furthermore, partners demonstrated a significant immediate increase in the depth of experiencing following somatically focused interventions. These findings suggest that interventions focusing on somatic experience of emotion may facilitate deeper experiencing for clients in EFT sessions.
Searching for a "Golden Rule" of Economic Regulation of an Infectious Disease

This paper investigates whether a “Golden Rule” of regulation of an infectious disease may be elicited that balances the economic control and disease costs when the arrival of a future vaccine or a cure is uncertain. Formulating an optimal control problem applied to standard compartment models of infection, an optimality rule is derived. This rule is more complex than other similar Golden Rules related to optimal economic growth or extraction of natural resources. The paper contains interpretation of the derived rule and numeric examples of how the rule functions under the compartment models (i.e., the SI, the SIS, and the SIR models.)
A Composite Mobility Model for Ad Hoc Networks in Disaster Areas

Ad hoc network is an essential means of communication in disaster scenes. Validation of new communication protocols for these networks requires exhaustive simulation runs because real life experiences can be performed exclusively during expensive civil protection exercises. The necessity of these simulations calls for realistic and reliable mobility models which take into account numerous aspects of rescue worker interventions. We propose a composite model of mobility for disaster scenarii which includes a realistic model of human displacement, team mobility, and obstacle avoidance. The comparison of its performance with those of other available models is encouraging. We believe that it can improve the veracity of rescue operation simulations.
Investigating the green impact of Lean, Six Sigma and Lean Six Sigma: A systematic literature review

Purpose The academic literature and research lines exploring the effect of quality improvement methods on environmental performance still remain in early stages. The purpose of this paper is therefore to investigate, through a systematic review of the existing academic literature, the environmental (green) impact of using quality and operations improvement methods such as Lean, Six Sigma and Lean Six Sigma. This includes the impact on energy saving and the usage of natural resources. Design/methodology/approach This study follows a systematic literature review approach through which it analyses research papers published in top 16 operations and quality management journals. No specific time frame was established, but a set of keywords were used to short-list the articles. A sample of 70 articles was finally short-listed and analysed to provide a discussion on environmental concerns related to Lean, Six Sigma and Lean Six Sigma. Findings The comprehensive review of short-listed articles indicates that both Lean and Six Sigma can be considered effective methods to support the conservation of resources, combat global warming and saving energy. Various scholars provide evidence of this, and as such, organisations should not only consider these methods to manage quality and improve operational performance but also meet environmental regulations. A set of research questions that demands further investigation has also been proposed based on the findings of this research. Research limitations/implications This study is limited to a sample of 70 articles collected from top 16 operations and quality management journals. The search of journals is also limited to a set of key words (“Lean”, “Green”, “Six Sigma”, “environment”, “sustainable” and “sustainability”) used to short-list the sample size. Practical implications The study shows that organisations can consider the adoption of Lean, Six Sigma and Lean Six Sigma to meet environmental regulations, save costs and also meet quality management standards. This will contribute in helping organisations to formulate more effective and inclusive strategies which do not only consider the quality and operational dimensions but also the environmental dimension. Originality/value Literature exploring the environmental/green impact of quality management methods commonly used in industry is limited. There is also a lack of studies aiming to investigate the green impact of Lean and Six Sigma in top operations and quality management journals. The study focusing on investigating the green impact of Lean, Six Sigma and Lean Six Sigma methods altogether is also a research first of its kind.
Design of Fault Prediction System for Electromechanical Sensor Equipment Based on Deep Learning

With the increasing complexity, scale, and intelligentization of modern equipment, the maintenance cost of equipment is increasing day by day. Moreover, once an unexpected major failure occurs, it will cause loss and damage to production, economy, and safety. Based on the considerations of system reliability and safety, fault prediction has gradually become a hot topic in the field of reliability. As a new branch of machine learning, deep learning realizes deep abstract feature extraction and expression of complex nonlinear relations by stacking deep neural networks and makes its methods solve bad problems in many traditional machine learning fields. The improvement and excellent results have been achieved. This article first introduces the model structure and working principle of the classic deep learning model noise reduction autoencoder and combines the feature extraction results of the experimental data of electromechanical sensor equipment and the model characteristics to analyze that this type of model can be trained using only normal samples. Under the restriction, the reason for abnormal features can also be correctly filtered. Then, in order to suppress the overfitting of training, the dropout layer is used in this article. The dropout layer will make the hidden layer nodes to be dropped with probability p according to the set probability. Because the lost nodes are random, each training is equivalent to training a new model. It achieves an effect similar to independently training the model and then superimposing it. Experiments prove that the dropout layer is very effective in solving overfitting. Finally, this paper conducts experimental verification on the improved algorithm. The results show that the improved model has a certain improvement in accuracy under the limited training algebra. Under the same training parameters, the accuracy is increased by approximately 2.44%, and the improved model has a better training effect and can be used for electromechanical effective prediction of sensor equipment failure.
Maintenance management system through strategic planning for public school in Malaysia

The responsibilities of public property management in Malaysia including public schools are distributed among various government departments and often managed in reactive manner. Improper supervision has lead to poor performance which was due to lack of explicit property objectives. This study focused on identifying the factors of implementing maintenance management system; identifying the common practice of maintenance management; and to improve the maintenance management system through strategic planning for public school. The process includes producing a new vision statement, revising mission statement, identifying goals and objectives. In order to achieve the objectives identified, literature review was done, then the data was collected using questionnaires, the collected data was analyzed using relative index analysis. Findings had shown that although many schools have their own maintenance management system but the condition of school still at average level which means performance fall shorts of requirement expectation and need improvement due to improper maintenance practice. Hence, to improve the current maintenance management system for public school, strategic planning has been suggested in order to increase performance, to provide an effective maintenance management, provide control for maintenance activities, improve quality, cost effective satisfaction, and to optimize the maintenance processes for their school.
Fast and Simple Solutions of Blotto Games

The Colonel Blotto game (initially introduced by Borel in 1921) is commonly used for analyzing a wide range of applications from the U.S.Ppresidential election to innovative technology competitions to advertising, sports, and politics. After around a century Ahmadinejad et al. provided the first polynomial-time algorithm for computing the Nash equilibria in Colonel Blotto games. However, their algorithm consists of an exponential-size LP solved by the ellipsoid method, which is highly impractical. In “Fast and Simple Solutions of Blotto Games,” Behnezhad, Dehghani, Derakhshan, Hajighayi, and Seddighin provide the first polynomial-size LP formulation of the optimal strategies for the Colonel Blotto game using linear extension techniques. They use this polynomial-size LP to provide a simpler and significantly faster algorithm for finding optimal strategies of the Colonel Blotto game. They further show this representation is asymptotically tight, which means there exists no other linear representation of the strategy space with fewer constraints.
A conceptual framework for designing blockchain technology enabled supply chains

ABSTRACT Despite the growing popularity of blockchain technology (BT) applications in a supply chain (SC), the academic literature has failed to offer a complete picture of BT embedded in SC, hereafter referred to as BT-enabled SC, while focusing on BT’s specifics. Against this backdrop, this paper aims to develop a conceptual framework by identifying BT’s multifaceted features and clarifying their roles in designing BT-enabled SCs. Specifically, we delve into BT’s extant definitions in business disciplines as a basis for identifying BT’s key attributes and elucidate how these attributes can be incorporated into the design of BT-enabled SCs by introducing the framework that encompasses the strategic, configural, and operational spheres. This paper contributes to clarifying BT’s conceptual boundary by framing BT as a stack of technologies and applications – seven dimensions. Based on seven dimensions, the proposed framework offers guidance on how to design BT-enabled SCs.
Gait signal acquisition system based on MPU-6050

In order to solve the problems that the type of acquired gait signals is unitary,only three-axis acceleration information can be acquired,the signal sources available for the analysis is less,and the cross-axis difference between the sensors exists in multi-sensor combination application,a wireless gait signal acquisition system based on the digital motion processor was designed. The M PU-6050 sensor integrated with three-axis acceleration and three-axis gyroscope signals was selected to obtain more gait information,which could avoid the cross-axis difference calibration. The system was mainly composed of microcontroller STC90LE52,motion sensor M PU-6050 and wireless communication module RF1100 SE.The gait acceleration and gyroscope signals were acquired with the M PU-6050. In addition,the data were read with the STC90LE52 and were transmitted with the RF1100 SE. The receiving module sent the received data to the computer through the serial port. Through the data analysis,it can be found that the periodicity of acceleration signals in both gravity direction and forward direction is better in the gait signals. Furthermore,the periodicity of pitch angle signals of gyroscope is prior to that of the signals in the other two axes.
Exopolysaccharides and their Applications in Food Processing Industries

Production of exopolysaccharides (EPSs) has been reported in prokaryotes and eukaryotes. Microbial exopolysaccharides have increased interest as another category of microbial products utilized in the pharmaceutical, biomedical, and food industries. Investigators are considering replacing synthetic food stabilizers with organic ones by investigating EPS in fermentation-based dairy industries. Particularly for the enhancement of the rheology of fermented food items, EPS is being used. EPSs are considered a natural texturizer and a good alternative for other artificial or new biopolymers utilized in foodstuff as a gelling agent and for suspending and thickening food. These EPS are used abundantly in fermented food and dairy industrials for quality improvement. The main microbial exopolysaccharides viz. dextran, xanthan, pullulan, gellan, curdlan, and scleroglucan have a versatile reputation and various food processing applications in industries. The review discusses the distinctive physical properties of EPSs that mainly determine their application in food industries and the health benefits of EPSs.
Tool path generation and optimization for freeform surface diamond turning based on an independently controlled fast tool servo

Diamond turning based on a fast tool servo (FTS) is widely used in freeform optics fabrication due to its high accuracy and machining efficiency. As a new trend, recently developed high-frequency and long-stroke FTS units are independently driven by a separate control system from the machine tool controller. However, the tool path generation strategy for the independently controlled FTS is far from complete. This study aims to establish methods for optimizing tool path for the independent control FTS to reduce form errors in a single step of machining. Different from the conventional integrated FTS control system, where control points are distributed in a spiral pattern, in this study, the tool path for the independent FTS controller is generated by the ring method and the mesh method, respectively. The machined surface profile is predicted by simulation and the parameters for the control point generation are optimized by minimizing the deviation between the predicted and the designed surfaces. To demonstrate the feasibility of the proposed tool path generation strategies, cutting tests of a two-dimensional sinewave and a micro-lens array were conducted and the results were compared. As a result, after tool path optimization, the peak-to-valley form error of the machined surface was reduced from 429 nm to 56 nm for the two-dimensional sinewave by using the ring method, and from 191 nm to 103 nm for the micro-lens array by using the mesh method, respectively.
In memory of future earthquakes: Controversial new form and function of a commemorative statue in 1920s Tokyo

Earthquake memorials dot the Japanese archipelago, marking its long history of destructive tremors. Today, many of these memorials are designed to serve the dual purpose of commemorating victims, and educating future generations. Almost a hundred years ago, however, this idea that a commemorative statue could also serve as a pedagogical tool proved to be novel and controversial. This article focuses on a case study of a memorial dubbed the Statue of Sadness. First unveiled to the public in 1929, the life-like figures of twelve children provoked an outcry. By exploring the conflicting hopes and expectations from the perspective of different stakeholders, I highlight the complicated issues surrounding earthquakes, commemoration, and children. I argue that the new form and function of the statue reflected the emerging desire of Japanese educators and government officials to educate future generations about the risk of earthquakes by reminding them about the tragic deaths of children, not to comfort bereaved families as many hoped. These issues are relevant today for communities endeavouring to construct memorials in order to save lives in the future.
First occurrence of Halyomorpha halys in Bordeaux vineyards

Here we report the first detection of Halyomorpha halys (Stål, 1855) in Bordeaux vineyards. The species is native to Eastern Asia and was introduced to France in 2012. Halyomorpha halys is highly polyphagous and causes significant damage to various crops, including grapevines. From 2018 to 2020, Pentatomidae species were collected in vineyards in the Bordeaux region. In 2020, the first nymphs and adults of H. halys were identified in the plot centres. The study emphasizes the need for field population monitoring in risk assessment and, consequently, risk management.