Miracle-dz/UniFAR-FTUs huggingface dataset:
Waterproof and Moisture Permeable Nanofibrous Membranes with Multi-scale Cross-Linked Structure

ABSTRACT Preventing the penetration of water while allowing it to pass through quickly is the key to achieving waterproof and breathable membranes; it opens up new possibilities for applications in all areas. Herein a novel functional nanofibrous membrane can be prepared via a facile electrospinning strategy, thermal post-treatment and chemical cross-linking, capable of providing excellent mechanical performance. Low-melting-point polyvinyl butyral (PVB) elastomer are added to polyvinylidene fluoride (PVDF) to modify the bonding network structure of the interfiber-adherent membrane, imparting durability and high mechanical properties to the membrane. Subsequently, the blocked isocyanate prepolymer (BIP) is used as the chemical cross-linker with PVDF and polyvinyl butyral (PVB) hybrid system to strengthen the cross-linking structure. Through systematically characterize the morphologies, contact angle, water vapor transmittance rate (WVTR) and hydrostatic pressure, it is studied that the effect of concentrate of PVDF/PVB/BIP and thermal-induced temperature on the waterproofness and breathability. The results indicate that the prepared nanofibrous membranes can maintain highly hydrostatic pressure (93.27kPa) and high WVTR (10.28 kg m−2 d−1); meanwhile, the membranes exhibit the excellent tensile stress (13.07MPa), indicating that it has a broad potential application prospect in the separation process and protective clothing.
Career and cultural context: collective individualism, egalitarianism and work-centrality in the career thinking of Norwegian teenagers

ABSTRACT Career guidance in Norway has seen major developments over the past two decades. Secondary schools have integrated career education and guidance into an education system which socialises young people to develop citizenship and take part in society. In this article, I explore how Norwegian teenagers’ career thinking is influenced by Norwegian cultural values which are strongly associated with the Nordic model of welfare: collective individualism, egalitarianism, and work-centrality. Teenagers’ and counsellors’ thoughts about career are explored through qualitative interviews and analysed using thematic analysis. The analysis shows that in conversations about career choices, teenagers and counsellors refer to these concepts, but in ways varying most notably along the urban-rural, academic-VET, and adult-teenager dimensions. Implications for career guidance are discussed.
Asymmetrical multilevel inverter topology with low total standing voltage and reduced switches count

This paper presented an improved asymmetrical multilevel inverter module with reduced switches count. The basic module is capable of producing 15 level outputs with four dc sources and 10 switches. The proposed topology has an inherent ability to generate negative voltage levels, made it possible to utilize lower rating switches, and has lower total standing voltage. To have more number of levels, a series‐connected cascade extension of the module has been done. The three different algorithms for selecting the magnitude of dc sources are proposed. The generalized relations for different parameters are based on the number of added basic units and the number of presented levels for each source selection algorithm. Nearest level control (NLC) is used as the modulation technique. A comparative study shows that the developed topology outperformed other selected existing topologies on many parameters. The performance of the module is evaluated through detailed simulation and power loss analysis. Accuracy of the obtained simulation results is validated through proper experimental testing of the circuit in the laboratory.
IoT Traffic: Modeling and Measurement Experiments

We now use the Internet of things (IoT) in our everyday lives. The novel IoT devices collect cyber–physical data and provide information on the environment. Hence, IoT traffic will count for a major part of Internet traffic; however, its impact on the network is still widely unknown. IoT devices are prone to cyberattacks because of constrained resources or misconfigurations. It is essential to characterize IoT traffic and identify each device to monitor the IoT network and discriminate among legitimate and anomalous IoT traffic. In this study, we deployed a smart-home testbed comprising several IoT devices to study IoT traffic. We performed extensive measurement experiments using a novel IoT traffic generator tool called IoTTGen. This tool can generate traffic from multiple devices, emulating large-scale scenarios with different devices under different network conditions. We analyzed the IoT traffic properties by computing the entropy value of traffic parameters and visually observing the traffic on behavior shape graphs. We propose a new method for identifying traffic entropy-based devices, computing the entropy values of traffic features. The method relies on machine learning to classify the traffic. The proposed method succeeded in identifying devices with a performance accuracy up to 94% and is robust with unpredictable network behavior with traffic anomalies spreading in the network.
Analytic or holistic? A study about how to increase the agreement in teachers’ grading

ABSTRACT In Sweden, grades are used for selection to upper-secondary school and higher education, even though agreement in teachers’ grading is low and the selection therefore potentially unfair. Furthermore, measures taken to increase the agreement have not been successful. This study has explored how to increase agreement in teachers’ grading by comparing analytic and holistic grading. Teachers (n = 74) have been randomly assigned to two different conditions (i.e. analytic or holistic grading) in either English as a foreign language (EFL) or mathematics. Findings suggest that analytic grading is preferable to holistic grading in terms of agreement among teachers. The effect was stronger and statistically significant in EFL, but could be observed in mathematics as well. However, teachers in the holistic conditions provided more references to criteria in their justifications, whereas teachers in the analytic conditions to a much larger extent made references to grade levels without specifying criteria.
Revisiting Relational Coordination: A Systematic Review

Work is increasingly complex, specialized, and interdependent, requiring coordination across roles, disciplines, organizations, and sectors to achieve desired outcomes. Relational coordination theory proposes that relationships of shared goals, shared knowledge, and mutual respect help to support frequent, timely, accurate, problem-solving communication, and vice versa, enabling stakeholders to effectively coordinate their work across boundaries. While the theory contends that cross-cutting structures can strengthen relational coordination, and that relational coordination promotes desired outcomes for multiple stakeholders, the empirical evidence supporting the theory has not previously been synthesized. In this article, we systematically review all empirical studies assessing the predictors and outcomes of relational coordination published from 1991 to 2019. We find evidence supporting the existing theory and discuss how that evidence supports expanding the theory from a linear structure–process–outcomes model to a dynamic model of change. An agenda for researchers and practitioners is proposed.
Review on System Identification and Mathematical Modeling of Flapping Wing Micro-Aerial Vehicles

This paper presents a thorough review on the system identification techniques applied to flapping wing micro air vehicles (FWMAVs). The main advantage of this work is to provide a solid background and domain knowledge of system identification for further investigations in the field of FWMAVs. In the system identification context, the flapping wing systems are first categorized into tailed and tailless MAVs. The most recent developments related to such systems are reported. The system identification techniques used for FWMAVs can be classified into time-response based identification, frequency-response based identification, and the computational fluid-dynamics based computation. In the system identification scenario, least mean square estimation is used for a beetle mimicking system recognition. In the end, this review work is concluded and some recommendations for the researchers working in this area are presented.
Sustainable development - friendly decision-making at enterprises and its correlation with perception of benefits by employees - comparative analysis of Poland and India

ABSTRACT The objective of the article was to identify, analyse and diagnose practices favouring sustainable development, involving consideration of environmental and social issues in key decision-making at enterprises, as well as their correlation with benefits perceived by employees after implementation of sustainable changes by their employers. The analysis of results of the survey among the sample of 449 employees of enterprises in Poland and India revealed that environmental and social issues are considered in key decision-making at enterprises in India more frequently than in Poland. Such decisions are taken more frequently by employees residing in urban areas than in countryside, and by people with higher than secondary education. The study provided evidence that when environmental and social issues are considered in key decision-making at enterprises, employees assessment of benefits perceived upon implementation of sustainable changes in their employer enterprises is higher.
‘To us it’s still Boundary Park’: fan discourses on the corporate (re)naming of football stadia

ABSTRACT This paper explores how the corporate (re)naming of football stadia and their urban environs is negotiated through fans’ toponymic discourses and associated commemoration. Critical toponymy research emphasises oppositional toponymic tensions between sovereign authorities and citizens, which can result in competing inscriptions of space. Adopting a quasi-ethnographic approach, we reveal a more complex picture by exploring the variegated toponymic discourses of football fans. The findings demonstrate intricate entanglements in how fans reluctantly accept a corporate stadium name, yet also actively resist it through counter-performative utterances, often imbued with commemorative intent. Alternatively, fans passively ignore a corporate stadium name, using a former toponym in quotidian and habitual speech. We conclude by considering the implications of these findings for the influence of corporate power in urban toponymic inscription.
Integrative Analysis of CircRNA Expression and Associated ceRNA Network in Graves’ Disease

ObjectiveGraves’ disease (GD) is the most common subtype of autoimmune thyroid disease which have the involvement of circular RNAs (circRNAs) in the pathogenesis. However, it is largely unknown about the role of circRNAs in GD. In present study, we performed a comprehensive study of the circRNAs in GD by bioinformatics analyses.MethodsCircRNAs were detected in plasma of 3 newly diagnosed GD patients and 3 healthy controls. We selected 2 up-regulated and 1 down-regulated circRNAs with different expression in GD for validation by transcriptase-quantitative polymerase chain reaction in both GD and healthy control subjects. The GTRD base was used for predicting the transcript factors of the different expression of circRNAs. Then the competing endogenous RNAs(ceRNAs) network was assembled and the analysis of the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were performed to predict the functions of different expression of circRNAs.ResultsA total of 366 different expression of circRNAs were detected in GD. The exonic circRNA hsa_circ_0090364 was validated as an up-regulated molecule in GD. 82 transcript factors in promoter region for hsa_circ_0090364 were predicted. The ceRNAs network revealed that the miR-378 family members acted as the target microRNAs of hsa_circ_0090364 and its downstream genes, and also unveiled the involvement of hsa_circ_0090364 in pathogenesis of GD. ConclusionsHsa_circ_0090364 might play a role of ceRNA through sponging up miR-378 family members, which demonstrated that circRNAs had an effect on regulation in GD.
Development of technology for bakery products

The purpose of this study is to create an assortment of whole grain wheat bread that is resistant to microorganisms and has high nutritional value. The research was carried out on the microbiological purity of whole wheat flour, the inhibitory effect of plant extracts on thermophilic bacteria detected in flour and the amount of biologically active additives and vegetable raw materials in the product. The study revealed thermostable types of bacteria in the flour. 1 g of whole grain flour was found to contain 92 CFU / g of Bacillus cereus and 16 CFU / g of Bacillus mesentericus. As a result of the inhibition of the bacteria Bacillus cereus and Bacillus mesentericus, cabbage juice (Brássica olerácea) has a bacteriostatic effect in addition to bactericidal activity, that is, it prevents the growth of bacteria. In the analysis of the physical and chemical characteristics of the finished product, we can see a decrease in the acidity of the bread in the functional direction. And as the volume of functional bread increases, so does its porosity. In terms of own volume, it increased by 22.4% compared to the control.
Evaluation of 68Ga-labeled TPP-1: A Targeted PD-L1 Probe for PET Imaging of Colorectal Cancer

Colorectal cancer is a common clinical malignancy of the digestive system. In recent years, with the improvement of living standards and changes in dietary habits, the incidence and death rate of colorectal cancer has been on the rise [1]. At present, effective treatments for colorectal cancer include surgery, chemotherapy and radiotherapy, but most lesions have already metastasized at the time point of being detected, resulting in a high death rate. The development of immunotherapeutic agents targeting PD-1/PD-L1 has affected the treatment strategy for many digestive system tumors due to their high efficacy and low toxicity compared to conventional treatments [2,3]. Unfortunately, although immuno-blocking therapy (IBT) targeting the PD-1/PD-L1 pathway has shown impressive clinical results, only a small number of patients have been benefited [4].
A Study of Multilayer Perceptron Networks Applied to Classification of Ceramic Insulators Using Ultrasound

Interruptions in the supply of electricity cause numerous losses to consumers, whether residential or industrial and may result in fines being imposed on the regulatory agency’s concessionaire. In Brazil, the electrical transmission and distribution systems cover a large territorial area, and because they are usually outdoors, they are exposed to environmental variations. In this context, periodic inspections are carried out on the electrical networks, and ultrasound equipment is widely used, due to non-destructive analysis characteristics. Ultrasonic inspection allows the identification of defective insulators based on the signal interpreted by an operator. This task fundamentally depends on the operator’s experience in this interpretation. In this way, it is intended to test machine learning applications to interpret ultrasound signals obtained from electrical grid insulators, distribution, class 25 kV. Currently, research in the area uses several models of artificial intelligence for various types of evaluation. This paper studies Multilayer Perceptron networks’ application to the classification of the different conditions of ceramic insulators based on a restricted database of ultrasonic signals recorded in the laboratory.
A Configurable Simulator for Neural Network Processors

Deep learning has achieved competing results comparing with human beings in many fields. Traditionally, deep learning networks are executed on CPUs and GPUs. In recent years, more and more Neural Network accelerators have been introduced in both academia and industry to improve the performance and energy efficiency for deep learning networks. In this paper, we introduce a flexible and configurable functional NN accelerator simulator, which could be configured to simulate u-architectures for different NN accelerators. The extensible and configurable simulator is helpful for system-level exploration of u-architecture, as well as operator optimization algorithm developments. We also integrated the simulator into the TVM compilation stack as an optional back-end. Users can use TVM to write operators and execute them on the simulator. The simulator is going to be open sourced.
Tingkat ketimpangan antar kabupaten di kepulauan sumba

Penelitian bertujuan untuk mengetahui perkembangan tingkat ketimpangan serta mengklasifikasi kemajuan pembangunan ekonomi, agar dapat mengetahui apakah yang menjadi sektor potensial untuk dikembangkan pada setiap kabupaten di kepulauan sumba. Metode yang digunakan dalam penelitian ini adalah Indeks Williamso, Tipologi Klasen, analisis Location Quaetiont (LQ) dan analisis Shift Share (SS). Hasil yang diperoleh adalah kabupaten di kepulauan Sumba memiliki ketimpangan yang rendah namun masih tergolong dalam daerah tertinggal dan maju tapi tertekan. Setiap wilayah juga memiliki sektor unggulan yang memliki pertumbuhan cepat dan memiliki daya saing seperti sektor konstruksi; perdagangan besar dan eceran; reparasi mobil dan sepeda motor; administrasi pemerintahan, pertahanan dan jaminan sosial wajib; jasa keuangan dan asuransi.
Linking the medicinal and aromatic plants business to sustainable resource management and economic prosperity: a value chain analysis

ABSTRACT This study examines the value chain of Uttarakhand’s medicinal and aromatic plants and herbal and herbal healthcare products sector, the roles of different stakeholders, and their contribution to sustainable commercial development and value generation. Organized and unorganized paths in the chain are identified, as is the significant role of middlemen and the need for policy attention to the unorganized parts of the chain, with a view to establish a chain that is pro-farmer, adds value, and promotes sustainable growth and development.
Study on Hydrologic Effects of Land Use Change Using a Distributed Hydrologic Model in the Dynamic Land Use Mode

It is reasonable to simulate the hydrologic cycle in regions with drastic land use change using a distributed hydrologic model in the dynamic land use mode (dynamic mode). A new dynamic mode is introduced into an object-oriented modularized model for basin-scale water cycle simulation (MODCYCLE), a distributed hydrologic model based on sub-watersheds, and the hydrological response unit (HRU). The new mode can linearly interpolate data for the years without land use data and consistently transfer HRU water storage between two adjacent years after a land use data update. The hydrologic cycle simulation of the Sanjiang Plain in China was carried out from 2000 to 2014 in the dynamic mode using land use maps of 2000, 2005, 2010, and 2014. Through calibration and validation, the performance of the model reached a satisfactory level. Replacing the land use data of the calibrated model using that of the year 2000, a comparison model in the static land use mode (static mode) was built (i.e., land use unchanged since 2000). The hydrologic effects of land use change were analyzed using the two models. If the land use pattern remained unchanged from 2000, despite the average annual runoff increasing by 4% and the average annual evapotranspiration decreasing by 4% in this region only, the groundwater storage of the plain areas in 2014 would increase by 4.6 bil. m3 compared to that in 2000, rather than the actual decrease of 4.7 bil. m3. The results show that the fluxes associated with groundwater are obviously more disturbed by land use change in the Sanjiang Plain. This study suggests that the dynamic mode should be used to simulate the hydrologic cycle in regions with drastic land use change, and the consistent transfer of HRU water storage may be considered in the dynamic mode.
Defining distance thresholds for migration research

There exists a large body of research focused on migration distance, where migration is either the outcome of interest or used as an input variable to model something else. However, there is little consistency in the distance thresholds used: these are often arbitrary, based on administrative boundaries or constrained by definitions available in the dataset. This causes problems with comparison across studies, and in some cases where migration distance is poorly defined could lead to issues with interpretation of results. Using Binary Logistic Regression and drawing on data from the 2011 Census Sample of Anonymised Records for England and Wales, we demonstrate that the odds of migrating vary when considering a range of population characteristics across 16 distance thresholds. We argue that the choice of distance cut-offs needs to be population and context specific and that decisions about these cut-offs should be made carefully as part of the study design.
Spatial and temporal characteristics of abrupt heavy rainfall events over Southwest China during 1981–2017

The spatial and temporal characteristics of abrupt heavy rainfall events (AHRE: defined as 3‐hr rainfall amount ≥50 mm and at least one 1‐hr rainfall amount ≥20 mm during the 3 hr) over southwest China (SWC) between 1981 and 2017, including their occurrence frequency, intensity, and duration, were investigated based on hourly rainfall data collected from 468 rain gauge stations. The occurrence frequency of these AHREs exhibited large spatial variability among different regions. We distinguished three regions with high occurrence rates of AHREs: the Sichuan Basin (subregion A, SR‐A), South Guizhou–North Guangxi (subregion B, SR‐B), and West Hunan (subregion C, SR‐C). Overall, the amount of rainfall generated by the AHREs was more closely related to event duration than event intensity. Analysis of the monthly variations showed that the frequency of AHREs over SWC mostly (ca., 86.8%) appeared in the warm season (May–August) and peaked in July. But the peak month exhibited distinct regional features, with it occurring in midsummer over SR‐A, late spring or early summer over SR‐B, and early summer over SR‐C. With regards to diurnal variations, AHREs over areas with higher (lower) topography were initiated mostly in the afternoon (around midnight). In addition, short‐duration (1–3 hr) AHREs began most frequently in the late afternoon, whereas the long‐duration events (>6 hr) tended to begin around midnight. Composite analysis of the anomalies of moisture, equivalent potential temperature, and wind during extreme AHRE days revealed that AHRE occurrence coincided with an abnormal low‐level cyclonic circulation, which enhanced wind convergence and the transport of moist and warm air, providing favourable thermodynamic conditions for AHRE formation. These results advance our understanding of rainfall characteristics over SWC and provide observation‐based metrics for the evaluation of numerical simulations.