Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Resilience Assessment Model for Manufacturing Enterprises

In today’s world, crises like the COVID-19 pandemic and ongoing global changes pose significant challenges for manufacturing companies. Resilience, the ability to withstand and recover from disruptions, is essential for survival. To make resilience actionable, the discussion introduces a four-step Circular Resilience Assessment Tool. To assess their resilience score, companies undergo a risk and vulnerability assessment, a qualitative resilience factor assessment, a suitable strategies identification phase, and a quantitative performance assessment. This tool guides companies in evaluating their resilience before, during, and after hypothetical or occurred crises. The balance among qualitative and quantitative aspects, encompassing technical, social, and organizational considerations, ensures that an omni comprehensive point of view is adopted in evaluating the overall resilience score of a company. This innovative approach empowers companies to not only survive crises but also to gain a competitive advantage and expand their market share in the long term. The work provides a thorough description of each of the four steps, accompanied by examples. The Circular Resilience Assessment Tool is designed to be as specific as necessary and as general as possible, thus making it a valuable resource for a variety of enterprises.
Combination Therapy with Platelet-Rich Plasma and Epidermal Neural Crest Stem Cells Increases Treatment Efficacy in Vascular Dementia

This study aimed to evaluate the efficacy and treatment mechanism of platelet-rich plasma (PRP) and neural crest-derived epidermal stem cells (ESCs) in their administration alone and combination in vascular dementia (VaD) model by two-vessel occlusion (2VO). Methods. Sixty-six rats were divided into six groups: the control, sham, 2VO + vehicle, 2VO + PRP, 2VO + ESC, and 2VO + ESC + PRP. The treated groups received 1 million cells on days 4, 14, and 21 with or without 500 µl PRP (twice a week) after 2VO. The memory performance and anxiety were evaluated by behavioral tests including open field, passive avoidance, and Morris water maze. The basal-synaptic transmission (BST) and long-term potentiation (LTP) were assessed through field-potential recordings of the CA1. The mRNA expression levels of IGF-1, TGF-β1, PSD-95, and GSk-3β were measured in the rat hippocampus by quantitative reverse transcription polymerase chain reaction. Results. The results demonstrated impaired learning, memory, and synaptic plasticity in the 2VO rats, along with a significant decrease in the expression of IGF-1, TGF-β1, PSD-95, and upregulation of GSK-3β. Treatment with ESC alone and ESC + PRP showed similar improvements in spatial memory and LTP induction, with associated upregulation of PSD-95 and downregulation of GSK-3β. However, only the ESC + PRP group showed recovery in BST. Furthermore, combination therapy was more effective than PRP monotherapy for LTP and memory. Conclusions. The transplantation of ESC showed better effects than PRP alone, and combination therapy increased the treatment efficacy with the recovery of BST. This finding may be a clue for the combination therapy of ESC and PRP for VaD.
Economic-energy-industrial-environmental optimization (EEIEO) model for identification of optimal strategies - a case study of Beijing-Tianjin-Hebei region, China

An economic-energy-industrial-environmental optimization (EEIEO) model is proposed for identification of optimal economic, industry, energy and environment strategies. The EEIEO model is applied to a real case of Beijing-Tianjin-Hebei (BTH) region, which is the important economic growth pole of northern China. The EEIEO model could fully consider the interaction between industrial, energy, urbanization and environment sector, and generate the optimized economic development, industrial restructuring, energy consumption and environment management schemes. This is first attempt to introduce economic, energy, industrial, urbanization and environmental sectors into an optimization framework, while sustainable energy and environment development pathways are explored through EEIEO model. The results suggest that: (i) the GDP of BTH region would increase about 73.80% over the planning horizon; (ii) the contribution of tertiary industry for BTH region's economic development would gradually increase from 54.00% in 2015 to 65.00% in 2030; (iii) the consumption of coal would decrease by 36%, and the natural gas would obviously increase by 97.70% over the planning horizon; and (iv) the SO2, smoke and dust emissions and CO2 would reduce by 30.20%, 35.30% and 4.50% from 2015 to 2030, respectively.
Addressing the “Whys” of UK Children’s YouTube Use: A Purposes Approach

Despite the widespread use of YouTube by children, there has been limited research undertaken on the “why” questions of their use. Past theoretical approaches have framed these questions in terms of broader individual needs and their relation to media use, though this work has mainly focused on adults and adolescents. This article presents relevant findings from a mixed methods study of children’s (aged 0–16) uses of social media in the United Kingdom to consider instead the “purposes” of children’s YouTube use, drawing on: (1) an online family survey; (2) family case studies; (3) child focus groups; and (4) child telephone interviews. “Purpose” is theorized in the article in relation to the ways children themselves make sense of and articulate the reasons they use YouTube or, in the case of parents and carers, for allowing, facilitating, or encouraging their children to use YouTube. Parents tended to frame the purposes of children’s YouTube use more instrumentally, focusing on perceived educational benefits and their own convenience needs. While sharing a focus on instrumental purposes, children sometimes emphasized broader dimensions of purpose, with an increased focus on humor, sensory, and hedonic dimensions. Children’s responses also emphasized the autotelic nature of play. The study foregrounded the extent to which the purposes of others (such as commercial entities) are served by children’s YouTube use. Seven child-centered, parent-centered, and “other” purposes for children’s YouTube use are discussed: cognitive, corporeal, cultural, collaborative, creative, commercial, and convenience.
Graphene-based nanomaterials for peripheral nerve regeneration

Emerging nanotechnologies offer numerous opportunities in the field of regenerative medicine and have been widely explored to design novel scaffolds for the regeneration and stimulation of nerve tissue. In this review, we focus on peripheral nerve regeneration. First, we introduce the biomedical problem and the present status of nerve conduits that can be used to guide, fasten and enhance regeneration. Then, we thoroughly discuss graphene as an emerging candidate in nerve tissue engineering, in light of its chemical, tribological and electrical properties. We introduce the graphene forms commonly used as neural interfaces, briefly review their applications, and discuss their potential toxicity. We then focus on the adoption of graphene in peripheral nervous system applications, a research field that has gained in the last years ever-increasing attention. We discuss the potential integration of graphene in guidance conduits, and critically review graphene interaction not only with peripheral neurons, but also with non-neural cells involved in nerve regeneration; indeed, the latter have recently emerged as central players in modulating the immune and inflammatory response and accelerating the growth of new tissue.
An Entropy enabled Random Forest Neural Network Algorithm to Grade the Reproductive System for Efficient Early Detection of Infertility

The membrane that borders the uterus is called endometrium. When the liner leaves the uterus, a problem is evident. The main risks of infertility and other health issues can be substantially reduced if the primary cause of endometriosis is understood. As a result, the affected people can receive the right medical care and therapy. The suggested ensemble model performs better than traditional machine learning techniques. For effective implantation, there must be a dependency between the endometrium and the embryo at the blastocyst stage. Data mining method where information gathered from the endometrium/sub endometrium and their ability is assessed uses the endometrium as a site for embryo implantation. Using a typical rating system has certain drawbacks because there are so many irrelevant and unclear criteria. The usability and precision of scoring systems can also be increased using a number of artificial intelligence methods, including random forests and neural networks. This study coupled an advanced reproductive grading system with an entropy and random forest approach to define individuals with infertility according to their health conditions and choose more effective therapies.
Towards Fabrication of Sub-Micrometer Cross-Type Aluminum Josephson Junctions

The performance of superconducting electronic devices such as superconducting quantum bits (qubits) and superconducting quantum interference devices (SQUIDs) strongly relies on high-quality Josephson junctions (JJ) and their integration into surrounding circuit elements. Therefore, a corresponding fabrication technology should allow for the fabrication of all required elements including the JJs, inductances, capacitances and waveguides. For a long time, shadow evaporation technique was the state of the art for the implementation of sub-µm sized JJs based on aluminum for qubits of high coherence times. Although, the use of a single lithographic step represents a major advantage of this technique. However, shadowing effects limit sample size, device complexity, and thus scalability of the circuitry. To overcome these limitations and to meet the demands of next generation scalable quantum circuits, in this work we introduce our cross-type JJ aluminum technology, where JJs are defined by the overlap of two narrow perpendicular stripes. We discuss the technological challenges, with a focus on our newly developed dry etching process for patterning of the aluminum thin film. Compared to a lift-off based process, this advanced wafer-scale fabrication technology offers a high integration density and the required design flexibility. We will present first results on cross-type aluminum JJs.
Development of a Bird Song Identification Model Using a Convolutional Neural Network (CNN)

Birds have a very large number of species that show remarkable diversity, but this diversity is threatened due to human activities and natural phenomena. Identifying bird species that still exist in an ecosystem is an initial action that can be taken to protect this bird diversity. In this study, a Convolutional Neural Network (CNN) model was built to automate the process of identifying bird species in bird song data. In the experiments conducted, 24 CNN models were built, which had differences in architectures, feature extraction techniques, and types of input data. There are three architectures used: AlexNet, DenseNet, and VGG. There are four feature extraction techniques used: mel-spectrogram, harmonic component-based mel-spectrogram, percussive component-based mel-spectrogram, and MFCC. As for the types of data used, there are two: data that has been cleaned (clean data) and data that has not been cleaned (raw data). Based on the experiment's results, the CNN model with the best performance is obtained with the DenseNet architecture, feature extraction with percussive component-based mel-spectrogram, and clean data as model input. This evaluation process is carried out using two types of testing methods: testing using chunk data and testing with complete data. The accuracy of the best model reaches 85.67% for testing with chunk data (method 1) and 90.42% for testing with complete data (method 2).
Analyzing Customer and User Preferences on Messenger as A Platform in Indonesia

Today's communication that takes place in short messages and in fast time is a result of the development of advances in internet and smartphone technology. This makes companies that build applications, competing to develop instant messaging applications in a fast time. Competition in the use of messengers and use in a business environment, is unavoidable. So many companies that build applications experience obstacles and lose in competition. This situation became the main concern of the researcher. The purpose of study is to analyse customer and user preferences on messenger as a platform using a qualitative method in Indonesia refers to the development of the IS Success Model indicator. This research method uses a qualitative approach to find symptoms when using the platform as a messenger for users and customers. The primary data used in this research uses in-depth interview techniques to collect data from informants who come from customers and users. The informant data is mapped to find the answer of preferences for using messenger as a platform which is analyzed using Miles and Huberman interactive data analysis. The result from this research is a usage preference for Platform as Messenger that considered customer and user. For the customer preference, aspects that need to be considered for development are accessibility, flexibility, effectiveness, and additional chat history. Meanwhile, for the user preference, factors that need to be considered consist of responsiveness, user-friendly appearance, performance personal needs, personal data privacy and security, and excellent service.
Deliberative Dialogue as a Viable Instructional Method for Civic Learning Outcomes

Civic education aids students in acquiring the skills necessary to create a democratic society. The effectiveness of deliberative dialogue as an instructional method on civic learning outcomes was investigated in this study. A quasi-experimental design was used for the investigation. In Ilorin, two secondary schools were chosen at random and split into experimental and control groups. The sample for this study consisted of 73 students (control group: 38; experimental group: 35). An eight-week study was conducted. The Civic Learning Test (CLT), a fifty-item multiple-choice test with sufficient validation, served as the instrument for data collection. The Spearman-Brown Prophesy Formula yielded a reliability index of 0.78 using SPSS statistics (23.0). Mean and standard deviation were used to respond to research question 1, and ANCOVA was used to test the two research hypotheses at a 0.05 significance level. The results showed that students who participated in deliberative dialogue had significantly better civic learning outcomes. Additionally, there is no discernible gender difference in the civic learning outcomes of students who participated in deliberative dialogue. It was recommended that the Government, through NERDC, should include deliberative dialogue as a legitimate instructional method in the curriculum.
3D Permeability Characterization Based on Pore Structure Analysis and Multi-Parameters Seismic Inversion and Its Application in H Oilfield

To improve the accuracy of permeability prediction, seismic constraint and sedimentary facies has often been adopted in conventional methods. However, it is porosity that both of them constrain, rather than permeability, and different pore structure with different permeability, the accuracy of permeability prediction cannot be radically improved. To address the problem of permeability prediction in carbonate reservoir, new permeability prediction technique workflow were summarized based on pore structure analysis and multi-parameters seismic inversion: division reservoir types based on the pore structure, construction of the rock types identification curve, carry out a rock type inversion and a porosity inversion constrained by seismic impedance respectively, and then get a final permeability prediction volume according to the porosity-permeability relationship and pore structure of core samples. It breaks the bottleneck that is difficult for seismic impedance (continuous variable) to constrain rock type (discrete variable), then constrains pore structure (continuous variable) related to rock type instead, and converts it into rock type using multi-parameters seismic inversion. According to the certification of new wells, this workflow have been applied successfully in carbonate reservoir of H oilfield in Middle East, it not only improves the prediction of rock type in space, but also permeability prediction accuracy.
Two-dimensional hydrodynamic modelling of AlGaN/GaN transistor-based THz detectors

Here, we report on numerical modelling of AlGaN/GaN HEMT terahertz detectors using a two-dimensional solver based on three Boltzmann transport equation (BTE) moments and the Poisson equation. We use the Synopsys TCAD Sentaurus program package, which offers a wide material database and the possibility to include traps and polarization charges for the formation of the channel without any doping. The implications of different levels of model simplifications are addressed both analytically and numerically. We calculated the current responsivity R, to THz radiation on the drain voltage in the frequency range 0.01-3.0 THz for three AlGaN layer thicknesses d= 15, 20 and 25 nm and different gate lengths. We demonstrate that only a hydrodynamic model can reproduce the change in the sign in current responsivity at the gate voltage UG9 (R1 = 0 at UG = UG0). The energy flux factor in the energy balance equation determines this effect. For the simulated structures, we find that the noise equivalent power may be as low as 0.1 pW/VHz at 0.04 THz and 10 pW/VHz at 3.0 THz.
Early stimulation for neuropsychomotor development in children with microcephaly: a systematic review

ABSTRACT Objective: To systematically review studies on the effects of early stimulation on the neuropsychomotor development of children with microcephaly. Data source: A systematic review was conducted in PubMed/MEDLINE, Virtual Health Library, and Cochrane Library databases. Studies that addressed the use of early stimulation in playful and interactive environments in children with microcephaly were included. There were no restrictions on the publication date or language of the studies. The outcomes assessed were muscle tone, social interaction, fine and gross motor skills, intelligence quotient, socioemotional and adaptive behavior of the child. The methodological quality and the scientific evidence level were assessed using the Risk of Bias in Non-randomized Studies of Interventions, the Revised Cochrane risk of bias tool for randomized trials and the Grading of Recommendations Assessment, Development and Evaluation. Data synthesis: 264 articles were identified, but only 7 met the eligibility criteria. The included studies had a total population of 125 individuals, with sample sizes ranging from 1 to 71 participants. Conclusions: The studies showed low evidence of an effect of early intervention on the outcomes muscle tone, social interaction, fine and gross motor skills, intelligence quotient, and socioemotional and adaptive behavior in children with microcephaly. However, further randomized clinical trials are needed.
Robust Point Cloud Registration Network for Complex Conditions

Point cloud registration is widely used in autonomous driving, SLAM, and 3D reconstruction, and it aims to align point clouds from different viewpoints or poses under the same coordinate system. However, point cloud registration is challenging in complex situations, such as a large initial pose difference, high noise, or incomplete overlap, which will cause point cloud registration failure or mismatching. To address the shortcomings of the existing registration algorithms, this paper designed a new coarse-to-fine registration two-stage point cloud registration network, CCRNet, which utilizes an end-to-end form to perform the registration task for point clouds. The multi-scale feature extraction module, coarse registration prediction module, and fine registration prediction module designed in this paper can robustly and accurately register two point clouds without iterations. CCRNet can link the feature information between two point clouds and solve the problems of high noise and incomplete overlap by using a soft correspondence matrix. In the standard dataset ModelNet40, in cases of large initial pose difference, high noise, and incomplete overlap, the accuracy of our method, compared with the second-best popular registration algorithm, was improved by 7.0%, 7.8%, and 22.7% on the MAE, respectively. Experiments showed that our CCRNet method has advantages in registration results in a variety of complex conditions.
Multi-decadal variations of the South Indian Ocean subsurface temperature influenced by Pacific Decadal Oscillation

Abstract Over recent decades, a strong subsurface cooling trend in the South Indian Ocean (SIO) occurred, despite a continuous sea surface warming. Previous studies suggest this long-term (around 1960–2000) cooling trend is mainly driven by remote Pacific atmospheric forcing or local Indian Ocean (IO) forcing. This study reveals that the dominant driver of the SIO subsurface cooling trend in different periods is closely related to the phase of Pacific Decadal Oscillation (PDO). Our results suggest that the local IO wind forcing is responsible for the majority of the subsurface cooling trend and overwhelms a weak warming trend induced by the remote tropical Pacific wind forcing during the negative-phase period of PDO during 1960–76. However, this situation reverses during the PDO positive-phase period during 1977–98. Our analysis suggests that the PDO strengthens/weakens the tropical Pacific trade winds during negative/positive phase periods. Furthermore, the multi-decadal variations in the western Pacific induced by PDO impact the SIO subsurface temperature via baroclinic Rossby waves.
Evaluation of the Effect of Nanocoating on Mechanical and Biofilm Formation in Thermoplastic Polyurethane Aligner Sheets

Objective: The objective of this research is to determine whether the thermoplastic polyurethane (TPU) coated with carboxymethylcellulose chitosan has better mechanical and antibacterial action (anti-Streptococcus mutans) when utilized in intraoral simulations with synthetic saliva. Materials and Methods: The TPU sheets (n = 45) were divided into three groups. Control (n = 15) consists of as-received TPU sheets. Test 1 consists of TPU sheets coated with carboxymethyl cellulose (CMC) chitosan (CHI) (n = 15). Test 2 consists of thermoformed nano-coated TPU (n = 15). For the polyurethane sheets, CHI-CMC sheets, and thermoformed CHI-CMC sheets, scanning electron microscopy (SEM) and three-point flexural tests were conducted and assessed. The materials testing software was used to calculate the elastic modulus and tensile strength. To study the bacterial accumulation, the cut circles of the TPU aligner were placed in centrifuge tubes with 2.5 mL of bacterial suspension at a concentration of 104 or 105 CFU/mL. SEM was done to assess the presence of cell growth in all three groups. Results: According to SEM analyses of bacterial buildup, the coated TPU had minimal biofilms compared to the bare TPUs numerous biofilms. The effect of aging on coating thickness reveals that the thickness of thermoformed coated TPU films dramatically decreased over time, while the thickness of coated TPU films was maintained. When TPU is coated with CMC/CHI, the elastic modulus and tensile strength were observed to improve. Conclusion: The development of a super-hydrophilic coating by the CHI CMC coating on TPU sheets improved the coating's biocompatibility while also changing the shape of the multilayer film to prevent bacterial adhesion. The effect on the improvement in the mechanical properties diminished after the material underwent a thermoforming process. It is therefore suggested that the nanofilm be used in therapeutic applications following the thermoforming process.