Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Logistics Information System Based on RFID Technology

In order to improve the efficiency of picking system of logistics, the logistics sorting system modernization, informationization, the logistics sorting system integrated into other business systems, it is necessary to study the logistics sorting operation mode, sorting strategy of traditional, combine with the electronic information technology and modern equipment. The paper analyze and study distribution center picking system, the sorting business planning theory, implementation of electronic tags assisted picking system Etc.
A System Bioinformatics Approach Predicts the Molecular Mechanism Underlying the Course of Action of Radix Salviae Reverses GBM Effects

Objective This study used in vitro techniques to investigate the therapeutic effect of Radix Salviae on human glioblastoma and decode its underlying molecular mechanism. Methods The active components and targets of the Radix Salviae were identified from the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP). The targets of human glioblastoma were obtained from the GeneCards Database. The Radix Salviae-mediated antiglioblastoma was evaluated by Gene Ontology (GO) analyses and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. Finally, mechanism of action of Radix Salviae against human glioblastoma was deduced by molecular docking and experiments. Results We screened 66 active ingredients and 45 targets of the Radix Salviae. The enrichment analysis based on the targets mentioned above suggested a possible role in protein phosphorylation, cell transcription, apoptosis, and inflammatory factor signaling pathways. Further study demonstrated that cryptotanshinone, an essential component of Radix Salviae, played a significant role in killing human glioblastoma cells and protecting the body by inhibiting the AKT, IKB, and STAT3 signaling pathways. Conclusions Radix Salviae could inhibit the proliferation and invasion of human glioblastoma by regulating STAT3, Akt, and IKB signaling pathways. Radix Salviae has potential therapeutic value in the future for human glioblastoma.
Sensitivity-Enhanced Strain Sensor With a Wide Dynamic Range Based on a Novel Long-Period Fiber Grating

A long period fiber grating prepared by multimode fibers (MMF-LPFG) is proposed and experimentally demonstrated as a sensitivity-enhanced strain sensor. The core diameter mismatch between the MMFs excites the high order cladding mode to obtain a compact sensing structure (3.6 mm). The strain sensitivity of the MMF-LPFG structure is enhanced to −15.06 pm/<inline-formula> <tex-math notation="LaTeX">$\mu \varepsilon $ </tex-math></inline-formula> when the grating period is closer to the dispersion turning point (DTP). Meanwhile, the novel fiber structure also has an excellent mechanical property to achieve a large dynamic range (<inline-formula> <tex-math notation="LaTeX">$\text{0-4508} ~\mu \varepsilon $ </tex-math></inline-formula>) in strain measurement.
COVID-19 Infection, Prevention, and Control Considerations in the Obstetric Environment

Pregnancy increases the risk of severe illness due to coronavirus disease 2019 (COVID-19). Thus, prevention of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in all obstetrical health care settings requires consistent implementation of multiple evidence-based practices and consideration of local epidemiology, local regulations for COVID-19, and guidance from the Centers for Disease Control and Prevention and Professional Societies. COVID-safe practices should be implemented for patients, visitors/support persons, and health care personnel and include screening, appropriate personal protective equipment, and transmission precautions. Vaccination of all health care personnel, pregnant people, and their support persons remains the best strategy to prevent COVID-19.
Reducing Delay Data Dissemination Using Mobile Sink in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) is a collection of sensor nodes, which is spread in environmental area. These sensor nodes sense the data, information, Temperature and environmental changes from environmental area. Later it will be provide sensing information to the Sink node. In Wireless Sensor Networks hop by hop and Multi-hop communication is done. A data packet is send to the sink node via hop to hop or Multi-hop communication. Important Parameters like congestion, energy, Average End-to-End Delay consider at the time of data packets communication from one node to sink node. Many times due to congestion above mention parameters Average End-to-End Delay will be increased and energy also loss at the instance of communication. Initial aim of this paper is reduce average End-to-End Delay using Movable Mobile Sink in uniform Random Wireless Sensor Network. Energy Consumption and Traffic control also other important parameters consider at the time of analysis. Movable mobile sink node reduces Average End-to -End Delay drastically when mobile Sink node moves from left side to Right side Direction. Mobile Sink is also moving different Direction so Mobile sinks collect the data moving through different direction. So, delay is reducing drastically for data packets collection from the networks. In this paper there solve energy consumption, congestion and Average End-to -End Delay problem for collection of data packets in the network. One mechanism proposes sink initiate routing algorithm it's better to support sink mobility for mobile sink in wireless sensor network. This mechanism have no effect on signal overhead of the wireless sensor networks (1) . our paper uses Movable Mobile Sink scenario which Is decrease average End-to-End delay. The Architecture for mobile collection of information or data packets, that concatenation of two different mechanisms for reducing latency or delay. One is Range Constrained Clustering algorithm (RCC) for end or stop point of mobile agent determination. Another one is Mobile Data Collection (MDC) between long distance and long range communication in wireless sensor network (2). The some researcher's uses data dissemination protocol for impact of energy consumption in wireless sensor networks (3). in this paper decrease Average End-to-End Delay and consume energy drastically using the Movable Mobile Sink for Data packet collection. We analyse for different movable mobile sink direction in Wireless Communication. Movable mobile sink collect the data packets routing in network. So it should be shown good effect on Average End-to-End delay and Energy Consumption with traffic control. If speed of the movable mobile sink will be increased then Average End-to-End Delay for this network will be drastically decrease. Packet Delivery Ratio(PDR) will be give great result for mobile sink due to Mobile sink will be collect the data from whole Network .
Refinement and Dissemination of a Digital Platform for Sharing Transportation Education Materials

National agencies have called for more widespread adoption of best practices in engineering education. To facilitate this sharing of practices a web-based system framework used by transportation engineering educators to share curricular materials and methods was developed. A research-based, action-oriented approach was taken where iteration occurred between the usability and adoptability of the system and the material-sharing and decision-making process of its content providers. The results of this study suggest that managing the size and content of the materials provided in the repository and establishing an effective and efficient means to access the material are of critical importance to the long-term success and sustainability of the system.
Implicit Sense of Academic Futility: An Unexpected Burden From Lower Secondary Education

Vocational and professional training tracks can be a good option for many adolescents, many of whom enter these programs with a sometimes hidden burden of negative experiences and attitudes to school. This paper explores the sense of academic futility in future VET students at the end of lower secondary education. Drawing on qualitative interviews with 25 Czech students in which they described their experiences from lower secondary school, we found that despite the students’ beliefs that their achievement is the product of their own effort, they describe situations from which it is evident that they noticed (i.e., perceived) that they actually did lose control over their results. At the same time, they explicitly claim that they have full control over their own achievement. This implicit sense of academic futility is created by several mechanisms at the school level: the curriculum, ineffective teaching, grading leniency, and teachers’ distrust of students’ capabilities.
Qualifying a human Liver-Chip for predictive toxicology: Performance assessment and economic implications

Human organ-on-a-chip (Organ-Chip) technology has the potential to disrupt preclinical drug discovery and improve success in drug development pipelines as it can recapitulate organ-level pathophysiology and clinical responses. The Innovation and Quality (IQ) consortium formed by multiple pharmaceutical and biotechnology companies to confront this challenge has published guidelines that define criteria for qualifying preclinical models, however, systematic and quantitative evaluation of the predictive value of Organ-Chips has not yet been reported. Here, 870 Liver-Chips were analyzed to determine their ability to predict drug-induced liver injury (DILI) caused by small molecules identified as benchmarks by the IQ consortium. The Liver-Chip met the qualification guidelines across a blinded set of 27 known hepatotoxic and non-toxic drugs with a sensitivity of 87% and a specificity of 100%. A computational economic value analysis suggests that with this performance the Liver-Chip could generate $3 billion annually for the pharmaceutical industry due to increased R&D productivity.
False Positives Avoidance in Pulse Detection from ECG and PPG Sensor Signals

The evaluation of bio-sensor signals often needs to happen live, e.g. within seconds after capturing new values. Sometimes new data is generated from one or more single sensor signals. If a long trend of these values is of interest, it is important to automatically ignore unwanted anomalies or distortions in the sensor signals. In this paper an approach is presented which detects and self validates pulses within electrocardiographic and plethysmographic signals. A self validating technique is used in order to avoid false positive pulse detection. The approach is using time domain based analysis and continuous wavelet transformation for validation and is able to analyse live sensor signals on a standard low cost computer.
An Index for Measuring Naval Team Performance

The evaluation of team training within the Navy often relies on instructor assessments of human performance. Often, assessments are subjectively derived and may, therefore, contain biases. Consequently, a method for objectively measuring Navy team performance was developed in an attempt to supplement commonly found subjective assessments. The technique is based upon collecting observable indicators of effective and ineffective behaviors across several critical functions of the anti-air warfare (AAW) team. The effective and ineffective indicators are mathematically combined to form a performance index ranging from 0.00 (low) to 1.00 (high) to reflect the team's overall performance level. The AAW Team Performance Index (ATPI) provides a systematic, consistent, and objective measurement approach linked to specific exercise events. The development and use of the ATPI are described.
Functional model of river-sea ships operating in European system of transport corridors: Part I. Methods used to elaborate functional models of river-sea ships operating in European system of transport corridors

Functional model of river-sea ships operating in European system of transport corridors: Part I. Methods used to elaborate functional models of river-sea ships operating in European system of transport corridors This paper presents a functional model of river-sea ships (shortly called: SRM) operating in European system of transport corridors. It is composed of two parts: Part I contains a descriptive model of functioning the SRM fleet with taking into account various shipping tasks as well as impact factors (external and internal factors, limitations and criteria). Also, a mathematical model of functioning the SRM fleet, including choice of relevant economic criteria (e.g. profit maximization, capital return period minimization etc), is presented. Results achieved on the basis of the functional model are presented in Part II of the paper.
How thunderstorms appear in weather forecasts

Thunderstorms present a range of dangers to the community. Therefore, information about thunderstorms in the Australian Bureau of Meteorology's 7-day forecasts for the public can be important for peoples' decision making. In these forecasts, thunderstorms are described with likelihood-related text phrases such as ‘possible thunderstorm’ and ‘thunderstorm likely’. There is a complex series of steps that lead to the placement of thunderstorms in the forecast. The process, which has been shaped by several historical factors, is linked to the probability of precipitation and involves both human-driven and automated aspects. The thunderstorm forecasts lack specific explicit quantitative definitions, which makes it hard to assess the quality of the service. However, by measuring the characteristics of the forecasts, informed by knowledge of the production process, we can start to understand the nature of the service currently being provided. We have done this using a complete set of national thunderstorm forecasts issued during Summer (December to February) 2020/2021, comparing these forecasts to thunderstorm observations derived from lightning strike data. This has given a quantitative understanding of what forecasts currently represent, which can inform future decisions around service definitions and improvements to the production process. From these results, we highlight notable differences that exist in the current service that depend on climatic zones, forecast horizons, and particular offices issuing the forecast. We observe an overall trend whereby the same forecast terms represent increasingly larger storm likelihoods as we move from temperate parts of the country to the tropics. This is driven by climatological factors and local forecast practices. Additionally, we observe a convergence of forecast terms towards the climatological frequency with increasing forecast horizon. We suggest what a nationally consistent and clearly defined service, driven by thunderstorm probability information, might look like. The findings indicate that moving towards such a service, consistent at the national level, will result in service changes over different parts of the country and different forecast horizons. This poses questions around how the service should be best designed to most effectively support decision making. Once a thunderstorm definition has been established, forecast skill and accuracy can be measured. This facilitates objective improvement of the forecast production system including determination of where human input does or does not add value to the service, over automated approaches.
A Series Elastic, Compact Differential Mechanism: On the Development of Adaptive, Lightweight Robotic Grippers and Hands

Differential mechanisms allow the designers of robotic and prosthetic grippers and hands to create devices that require a minimal number of motors in order to grasp a plethora of everyday life objects, leading to light-weight, compact, and low-cost implementations. The working principle of differential mechanisms is simple. They allow the distribution of the forces exerted by a single actuator to multiple outputs (e.g., fingers). This reduction in the number of motors leads to underactuation, which is the use of fewer motors than the available degrees of freedom. But differentials need also to be power-efficient, compact, adaptive, and lightweight. Most of the existing solutions lack at least one of these attributes. In this paper, we focus on the design, modeling, and development of a compact, adaptive, series elastic differential. The proposed mechanism consists of four elastic elements connected in series with the four output attachments. The compression of the elastic elements during grasping allows the gripper or hand to conform to the object’s shape. The efficiency of the differential mechanism is experimentally validated using two different types of experiments, measuring: i) the maximum achievable tension load at the outputs, and ii) the maximum achievable compliance of a single output when all other outputs are blocked. The proposed differential has been employed for the development of a gripper and its efficiency has been assessed by executing grasping tasks with several everyday life objects. The device can be easily replicated using additive manufacturing and off-the-shelf materials and is disseminated in an open-source manner.
Reducing magnetic bearing currents via gain scheduled adaptive control

A method for the reduction of an active magnetic bearing's speed-synchronous current is presented. The approach is based on research on adaptive vibration control for these systems. To minimize the memory and computational requirements imposed on the control system hardware, the gain matrix used is synthesized as functionally dependent upon the operating speed with only the diagonal elements varying linearly with speed. The resulting algorithm was experimentally tested on a high-speed spindle. Significant reductions in bearing currents were achieved over a wide range of operating speeds.
Learning Contact-Rich Assembly Skills Using Residual Admittance Policy*

Contact-rich assembly tasks may result in large and unpredictable forces and torques when the locations of the contacting parts are uncertain. The ability to correct the trajectory in response to haptic feedback and accomplish the task despite location uncertainties is an important skill. We hypothesize that this skill would facilitate generalization and support direct transfer from simulations to real world. To reduce sample complexity, we propose to learn a residual admittance policy (RAP). RAP is learned to correct the movements generated by a baseline policy in the framework of dynamic movement primitives. Given the reference trajectories generated by the baseline policy, the action space of RAP is limited to the admittance parameters. Using deep reinforcement learning, a deep neural network is trained to map task specifications to proper admittance parameters. We demonstrate that RAP handles uncertainties in board location, generalizes well over space, size and shape, and facilitates quick transfer learning. Most impressively, we demonstrate that the policy learned in simulations achieves similar robustness to uncertainties, generalization and performance when deployed on an industrial robot (UR5e) without further training. See accompanying video for demonstrations.
Geometric Design Optimization for Dynamic Response Problems of Continuous Reinforced Concrete Beams

AbstractThis paper presents a computer-aided design method for conceptual geometric layout optimization of multispan RC beams for any type of dynamic responses. A key feature of the paper is the development of a new cost-optimization method for geometric layout problems that take both cost parameters and dynamic responses into account to achieve an optimum design along with acceptable dynamic performance of RC beams. This method takes advantage of employing a new optimization formulation that considerably simplifies the preliminary layout design computations. It focuses on minimizing the structural cost subject to constraints on eigenfrequencies, modal shapes, and the static and dynamic equilibrium. The proposed structural optimization problem is solved employing an ant colony optimization (ACO) algorithm. To verify the suitability of the methodology and illustrate the performance of the algorithm, solved examples are presented.
Survey, Identification, and Pathogenicity of Ceratocystis fimbriata Complex Associated with Wilt Disease on Acacia mangium in Malaysia

Ceratocystis wilt disease surveys were conducted in three selected Malaysian Acacia mangium plantations. These completed surveys revealed the occurrence of the wilt disease, with the incidence of infection ranging from 7.5% to 13.6%. Signs of wood-boring insects, bark peeling due to squirrel activity, and pruning wounds were often associated with this disease. The fungus most frequently isolated from the diseased trees was the Ceratocystis fungus. The analysis on the morphological characteristics has identified the fungus as Ceratocystis fimbriata complex. Phylogenetic analysis based on the sequences of the ITS, and concatenated sequences of EF1α-βT regions grouped the isolates within the C. fimbriata sensu stricto, in comparison to other C. fimbriata isolates. Pathogenicity tests were conducted on six to nine-month-old healthy A. mangium seedlings by inoculating these seedlings with eight out of the 16 isolates. The results demonstrated that all the isolates were pathogenic, with mortality beginning as early as two weeks after inoculation. However, an ANOVA test indicated a significant difference between the pathogenicity levels among the fungal isolates. The results also showed that pathogen aggressiveness was not correlated with geographical origin. A host range test was also conducted by using C. fimbriata SSB3 and FRIM1162 isolates against several forest plantation species. The findings suggested that only A. mangium was susceptible to C. fimbriata. The other species remained healthy with no symptoms of infection even after seven weeks of treatment, as compared to the A. mangium species, where between 38 to 60% of the inoculated plants had died. This study provides new information on the status of Ceratocystis wilt disease, especially on the occurrence and effects on A. mangium plantation, by giving insights on how to control and manage this ferocious plant pathogen in the future.
Reliability, availability and maintainability (RAM) of high power variable speed drive systems (VSDS)

This is an overview of various aspects of reliability, availability and maintainability of large AC drives (medium voltage and >5 MW). The focus is on the definition and practical use of the relevant and most frequently used terms in this field, with the purpose to provide a base for common understanding between customers and suppliers. It is also mentioned how reliability evaluation procedures have been applied in a few cases. Reference is made to typical misinterpretations. The overview is limited to electric drives and does not include comparisons with other drive systems like gas- and steam turbines.
Formalizing Trajectories in Human-Robot Encounters via Probabilistic STL Inference

In this paper, we are interested in formalizing human trajectories in human-robot encounters. We consider a particular case where a human and a robot walk towards each other. A question that arises is whether, when, and how humans will deviate from their trajectory to avoid a collision. These human trajectories can then be used to generate socially acceptable robot trajectories. To model these trajectories, we propose a data-driven algorithm to extract a formal specification expressed in Signal Temporal Logic with probabilistic predicates. We evaluated our method on trajectories collected through an online study where participants had to avoid colliding with a robot in a shared environment. Further, we demonstrate that probabilistic STL is a suitable formalism to depict human behavior, choices and preferences in specific scenarios of social navigation.