Miracle-dz/UniFAR-FTUs huggingface dataset:
Objective evaluation of sizing morphology of E-glass filament yarn

In spinning, sizing agent makes originally rigid glass filament yarn soft, smooth, reduces mechanical wear, and alleviates static electricity. In order to produce “stronger, thinner, and more uniform” E(Electronic) fiberglass cloth, the sized filament yarn is required to have good strand integrity and uniform belt-like shape. Currently, the sizing effect can only be evaluated artificially according to the image of cross section or longitudinal section of yarns. The goal of the paper is to find an objective evaluation method for sizing effects on strand integrity and performance of belt-forming of E-glass filament yarn. The image of cross section of yarn is captured by Keyence VK-X110 and analyzed by Image-Pro Plus to obtain the central position and diameter of each filament. The threshold of fiber spacing is set to determine whether filaments are clustered in group. The area of outer enveloping convex polygon containing all the clustered filaments is calculated and fiber-filling rate is calculated accordingly. By using the least square method, the minimum rectangle containing all groups of filaments is obtained to describe the basic contour of yarn cross section. The outer envelope polygon is divided into several equal parts to calculate the coefficient variation of thickness distribution and yarn distribution. These objective values well reflect the strand integrity and feature of belt-forming of yarn, and are consistent with the subjective evaluation. Rank order method is used to compare the sizing morphology of the yarns based on the values. A standard is also suggested for objective grade assessment of sized E-Glass yarns.
The Prosencephalies: Morphology, Neuroradiological Appearances and Differential Diagnosis

1. Development and Aetiology. - Development. - Normal Development. - Neurulation. - Prosencephalic Cleavage. - The Hemispheres. - Telencephalon Medium ('Impar'). - Diencephalon. - Differentiation of Cortical Plate Mass Development Moulding of the Telencephalic Ventricles. - Commissuration. - Abnormal Development. - Influence of Corpus Callosum on Gross Morphology of the Brain. - Experimental Model. - Specific Problems Connected with Prosencephaly and Arhinencephaly. - Aetiology. - General Survey. - Hereditary or Familial Occurrence of Systemic Cerebral Malformations. - Systemic Cerebral Malformations and Chromosomal Anomalies. - Corpus Callosum Defects and D- and E-Trisomy. - Miscellaneous Chromosome Abnormalities and Systemic Brain Malformations. - Prosencephaly Associated with a Single Umbilical Artery. - Analysis of Author's Material. - Corpus Callosum Defects. - Clinical Material. - Autopsy Material. - Prosencephalies. - 2. Morphology. - Classification Systems. - Cyclopy-Arhinencephaly: First Systematic Review. - Cyclopy. - Ethmocephaly. - Cebocephaly. - Arhinencephaly with Median Cleft Lip and Palate. - Arhinencephaly with Lateral or Bilateral Cleft Lip and Palate, Often Associated with Trigonocephaly. - Arhinencephaly with Trigonocephaly. - Discussion. - Arhinencephaly: Classification System of Dekaban. - Holoprosencephaly: Classification System of De Myer and Zeman. - Structural Organization of Holospheric Brains. Coauthor: A. Brun. - Historical Notes and Current Knowledge. - Morphology. - Cytoarchitecture. - Associated Malformations. - Abnormalities of the Central Nervous System. - Craniofacial and Extracranial Malformations. - The Pseudo-Callosum. - Gross Morphology of Typical Specimens. - The Ordinary Spectrum. - Case Reports. - Discussion. - Dorsal Sac Prosencephaly. - Intermediate Category. - Pseudohemispheric Category. - Partial Prosencephaly. - Case Reports. - Discussion. - 3. Neuroradiology. - General Notes and Conventional Radiology. - Pneumoencephalography. - Case Reports. - Positional Anomalies of Primitive Holospheres. - Angiography. - Anterior Cerebral Arteries (ACAs) and Basal Circle (of Willis). - Middle Cerebral Arteries (MCAs). - Posterior Cerebral Arteries (PCAs). - Basal Ganglia and Thalami. - Deep Venous System. - Superficial Veins and Venous Sinuses. - Case Reports. - 4. Review and a New Classification System. - Critical Review and Comments on the Current Classification System. - 'Alobar' Prosencephaly. - 'Semilobar' Holoprosencephaly. - 'Lobar' Holoprosencephaly. - A New Classification System. - 5. Differential Diagnosis. - Partial and Complete Callosal Defects with Interhemispheric. - Cysts. - Case Report. - Defects of the Septum Pellucidum. - General Remarks and Differential Diagnostic. - Considerations. - Computer Tomography. - Encephalography in Septum Pellucidum Defects in Infants and Children. (I. Pascual-Castroviejo). - Hydranencephaly. - References.
The Energy Transition: Democracy, Justice and Good Regulation of the Heat Market

This paper discusses whether the concepts of energy democracy, energy justice and the principles of good market regulation could play a role in developing a more consistent approach towards the regulation of the energy sector. It is concluded that the principles of good regulation can provide a useful framework within which advantages and disadvantages can be weighed of regulatory choices to be made when modernizing the regulation of the energy markets. A case study of the Dutch heat market is used as an example, showing that a lot remains to be gained in terms of flexible regulation and supervision and the facilitation of citizen participation. Both energy democracy and energy justice call for this. The lack of flexibility in the current regulatory framework could lead to ineffective and disproportionate regulation, hindering a sustainable, reliable and affordable development of the heat market. A larger need for flexibility is justified because of the differences between the types of heat networks. Customized solutions regarding unbundling and third-party access, including the modernization of the heat market, also require sufficient discretionary powers for the independent regulator that do not hinder but in fact stimulate the development of the heat market. Furthermore, increased citizen-participation is important in light of energy justice and energy democracy, which are energy specific concepts that overarch the principles of good regulation in the energy sector. Both concepts are based on the awareness that the energy transition is a matter for all citizens of the European Union and should not be ignored by policymakers and independent regulators. Since it is likely that most heat consumers will remain locked in for a relatively long time in natural monopolies facilitated by older generation heat networks and a lack of alternatives, substantive citizen-participation could yield positive results regarding community engagement in heat network management and heat supply.
Effects of Customer Value Proposals on the Service Trade Repurchase Intentions of Sharing-Economy Users

Purpose – This paper finds the repurchase intentions of customers in a sharing economy via Airbnb and Uber, which are classic sharing-economy service businesses. <br><br>Design/methodology – This paper analyzes sharing economy effects using variables in a structural equation model. <br><br>Findings – We verified that values have a significant effect on the trust in a platform. We also verified that the effects that value propositions have on repurchase intention are significant. <br><br>Research Limitations/Implications – First, there may be some distinction between men and women with regard to divided trust. Second, if commitment is divided into commitment to the host and commitment to the platform, as is the case for trust, the results will not be as expected. Third, if results could be categorized by nationality after gathering more samples, each nationality might have different opinions about these factors. Finally, the sharing economy can be identified and analyzed for various industries, such as space, transportation, and service. At this point, it is inconvenient to not have more implications. <br><br>Originality/value – This study focuses on the repurchase intentions of customers. Unlike earlier studies, it is meaningful that trust is divided between the host and the platform, and that it can be analyzed. It is also important to establish the relationship between trust and commitment, and the relationship toward repurchasing in the shared-economy.
First-Year and Multiyear Sea Ice Incidence Angle Normalization of Dual-Polarized Sentinel-1 SAR Images in the Beaufort Sea

Automatic and visual sea ice classification of SAR imagery is impeded by the incidence angle dependence of backscatter intensities. Knowledge of the angular dependence of different ice types is therefore necessary to account for this effect. While consistent estimates exist for HH polarization for different ice types, they are lacking HV polarization data, especially for multiyear sea ice. Here we investigate the incidence angle dependence of smooth and rough/deformed first-year and multiyear ice of different ages for wintertime dual-polarization Sentinel-1 C-band SAR imagery in the Beaufort Sea. Assuming a linear relationship, this dependence is determined using the difference in incidence angle and backscatter intensities from ascending and descending images of the same area. At cross-polarization rough/deformed first-year sea ice shows the strongest angular dependence with <inline-formula><tex-math notation="LaTeX">$-\text{0.11}$</tex-math></inline-formula> dB/<inline-formula><tex-math notation="LaTeX">$1^{\circ }$</tex-math></inline-formula> followed by multiyear sea ice with <inline-formula><tex-math notation="LaTeX">$-\text{0.07}$</tex-math></inline-formula> dB/<inline-formula><tex-math notation="LaTeX">$\text{1}^{\circ }$</tex-math></inline-formula>, and old multiyear ice (older than three years) with <inline-formula><tex-math notation="LaTeX">$-\text{0.04}$</tex-math></inline-formula> dB/<inline-formula><tex-math notation="LaTeX">$\text{1}^{\circ }$</tex-math></inline-formula>. The noise floor is found to have a strong impact on smooth first-year ice and estimated slopes are therefore not fully reliable. At co-polarization, we obtained slope values of <inline-formula><tex-math notation="LaTeX">$-0.24$</tex-math></inline-formula>, <inline-formula><tex-math notation="LaTeX">$-0.20$</tex-math></inline-formula>, <inline-formula><tex-math notation="LaTeX">$-\text{0.15},$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$-\text{0.10}$</tex-math></inline-formula> dB/<inline-formula><tex-math notation="LaTeX">$\text{1}^{\circ }$</tex-math></inline-formula> for smooth first-year, rough/deformed first-year, multiyear, and old multiyear sea ice, respectively. Furthermore, we show that imperfect noise correction of the first subswath influences the obtained slopes for multiyear sea ice. We demonstrate that incidence angle normalization should not only be applied to co-polarization but should also be considered for cross-polarization images to minimize intra ice type variation in backscatter intensity throughout the entire image swath.
CAST: Content-Aware STT-MRAM Cache Write Management for Different Levels of Approximation

Spin transfer torque magnetic RAM (STT-MRAM) technology is one of the most promising alternative for static RAM (SRAM) for implementing on-chip memories. Compared with SRAMs, STT-MRAMs benefit from higher density and near-zero leakage power, nonetheless they impose high energy consumption for reliable write operations. However, in many applications, absolute data integrity is not required; thus, acting on the current applied in the write operations may represent a novel knob for disciplined approximate computing to obtain energy saving with a minimal quality loss in applications’ outputs. This article proposes CAST, a hardware/software approach to adjust the energy/quality of write operations in STT-MRAM caches in multicore systems based on the content of requested write operations. CAST utilizes fine-grained cache-line-level actuation knobs with different levels of quality for individual write operations. This unique feature of STT-MRAMs allows to avoid interapplication actuation interference suffered by SRAMs, and makes the approach particularly suitable for systems running multiple applications with mixed accuracy sensitivity. Moreover, CAST exploits another peculiarity of STT-MRAMs represented by the asymmetry and transition-dependency of the write error rate, to further tune in a fine-grained manner the write current to achieve an additional energy saving, even in full-accurate applications. Our evaluations on workloads of full-approximate, mixed-criticality, and full-accurate applications demonstrate up to 57%, 34%, and 21% energy savings over a baseline STT-MRAM cache, respectively, with an acceptable quality of the generated outputs.
E-Commerce User Type Recognition Based on Access Sequence Similarity

ABSTRACT In order to measure the similarity of non-equal length and non-numerical sequence effectively, in this paper, the access sequence similarity calculation method was proposed based on the characteristics of e-commerce user access sequence. The sliding window method was improved by increasing the similarity calculation of nodes and optimizing the sliding similarity calculation method. The key factor of Edit Distance on Real Sequences was optimized. It mainly includes the calculation method of increasing the similarity of nodes and optimizing the calculation method of sliding similarity; the calculation method of subcost in the editing distance of real sequences is optimized. Then, the optimized Edit Distance on Real Sequences was embedded into the improved sliding window method to replace the original distance calculation method. Based on the access sequence similarity calculation results, the clustering algorithm was used to get the e-commerce users type. The experimental results showed the following facts: The improved access sequence similarity algorithm can measure the similarity of non-numerical and non-equal length sequences more accurately; based on the similarity of access sequences, it is possible to divide the types of e-commerce users more effectively, besides the e-commerce users are mainly composed of young men, users’ online time shows obvious fragmentation characteristics, their online browsing behavior obeys long tail distribution, they still primarily buy hot items, and the e-commerce users can be divided into six categories.
The Effect of Home-visit Training Program on the Maternal Anxiety of Preterm Infants: A Clinical Trial Study

Background Infants’ discharge from neonatal intensive care unit (NICU) creates high level of anxiety for parents, especially mothers; therefore, some strategies are needed to reduce parental anxiety. The aim of this study was to investigate the effect of home-visit training program on the anxiety of mothers of preterm infants. Materials and Methods: In this clinical trial study, 70 mothers whose preterm infants were discharged from the NICU of Ayatollah Rouhani and Amirkola Children's Hospitals in 2018 were divided into intervention and control groups (n=35 in each) based on inclusion criteria. The premature infant care package was presented to the mothers in the intervention group using lectures, practical education, and pamphlets through four sessions held twice a week at their homes. The mothers of both groups completed the State-Trait Anxiety Inventory (STAI) after infants’ discharge and one month after training sessions. Results: Mean age of mothers was 29.17±6.05 and 29.09±6.56 years in intervention and control groups, respectively. Mean gestational age was 33±2.27 and 32.76±2.92 weeks in intervention and control groups, respectively. The mothers of the two groups did not differ in age and other demographic factors (P>0.05). In the intervention group, the mean anxiety decreased from 88.77± 15.53 before the intervention to 64.02 ±11.9 after the intervention, but in the control group, it enhanced from 80.25±20.33 to 103.05±26.69 the difference was significant (p >0.001). Conclusion It seems that home-visit training program decreases maternal anxiety of preterm infants; it can be used as a supportive care to decrease maternal anxiety.
Efficient Multichannel Nonlinear Acoustic Echo Cancellation Based on a Cooperative Strategy

While a common approach to address nonlinear distortions, emitted by multiple loudspeakers and observed by multiple microphones, is to use post-filtering techniques, this paper proposes a cooperative strategy to rather model and then cancel such distortions. In this approach, the overall problem of modeling distortions emitted by a number of loudspeakers is divided into multiple simpler and easier tasks of estimating distortions emitted by subsets of loudspeakers. This approach allows also the exploitation of the physical configuration of the loudspeakers and microphones to select certain microphone signals for estimating the nonlinearity of loudspeakers that contribute the predominant part of the acoustic echo to this microphone signal. The proposed strategy is realized using the elitist resampling particle filter and the Gaussian particle filter. Both variants are evaluated and compared to a linear approach using synthesized and real recordings.
Continuous authentication using biometrics: An advanced review

The shortcomings of conventional access control systems for high‐security environments have led to the concert of continuous authentication. Contrary to traditional verification, in which users are authenticated only once at the start of their session, continuous authentication systems regularly check users' identities to prevent hijackings. The challenges in this area involve balancing the security of protected assets by quickly detecting intruders with the system usability for genuine users. Biometric recognition plays a major role within this context, as it is the main way to assure that users are who they claim to be. A comparative analysis of the latest works revealed different aspects of this problem. First, some biometrics traits among those applied for continuous authentication are more suitable for this task than others. Second, systems combining multiple traits have advantages over those relying on a single one. Finally, many works fail to report proper evaluation metrics. With this in mind, we were able to identify new opportunities for researchers in the field. We highlight the potential for mining new datasets on the internet, which would benefit validation and benchmarking, and how recent deep learning techniques could address some of the open challenges in the area.
An exhaustive study of DDOS attacks and DDOS datasets

Conceptually, frequent distributed denial of service (DDOS) attacks on corporate networks constitute serious challenges that demand urgent explanations. Consequently, several organisations have lost long-standing reputations, suffered huge financial losses and low patronages due to DDOS attacks. Now the strengths and weaknesses of the available DDOS traces are not recently discussed in contemporary literatures. Therefore, feelers have begun to question the resolute and validity of the existing models despite the fact that they were duly evaluated using some standard DDOS datasets. This paper discusses DDOS attacks rudiments and elaborately explicates some of the challenges associated with DDOS datasets. We use C++ programming language to empirically demonstrate potential datasets that researchers can adopt to investigate DDOS attacks. The results suggest that researchers can secure informative DDOS datasets by merging different DDOS datasets. The outcome would help investigators, analysts, data donors and litigators to determine and enforce of legal rights against intruders.
A Pilot Study of Critical Thinking Disposition and Self-Efficacy with English Majors in China

This pilot survey study is intended to investigate tertiary learners’ critical thinking disposition and self-efficacy as well as the relationship between these two variables. Participants were 135 English majors from non-key universities in Shanxi, China. Two 6-point Likert scales were chosen as measures: one is the Self-efficacy Inventory particularly designed to measure tertiary students’ general self-efficacy; the other is the Critical Thinking Disposition Inventory which focuses on four aspects of intellectualness, emotionality, rationality and morality. Findings indicate that students exhibited medium self-efficacy and low critical thinking disposition, with a significant difference between each pair of the four aspects. It was strikingly noticeable that students of lower English proficiency demonstrated higher level of both critical thinking disposition and self-efficacy than peers. Self-efficacy and critical thinking were found positively correlated at significant level. There was clear indication that emotionality served as the strongest predictors of self-efficacy while morality demonstrated least predictive power.
Active Semi-Supervised Learning for Diffusions on Graphs

Diffusion-based semi-supervised learning on graphs consists of diffusing labeled information of a few nodes to infer the labels on the remaining ones. The performance of these methods heavily relies on the initial labeled set, which is either generated randomly or using heuristics. The first sometimes leads to unsatisfactory results because random labeling has no guarantees to label all classes while heuristic methods only yield a good performance when multiple recursive training stages are possible. In this paper, we put forth a new paradigm for one-shot active semi-supervised learning for graph diffusions. We rephrase active learning as the problem of selecting the output labels from a label propagation model. Subsequently, we develop two methods to solve this problem and label the nodes. The first method assumes there are only a few starting labels and relies on projected compressive sensing to build the label set. The second method drops the assumption of a few starting labels and builds on sparse sensing techniques to label a few nodes. Both methods have solid mathematical grounds in signal processing and require a single training phase. Numerical results on three scenarios corroborate our findings and showcase the improved performance compared with the state of the art.
Altitudinal runoff assessment under variable lapse rates of temperature in the Hindu Kush, Karakorum and Himalaya ranges of Pakistan

Snow and glaciers form a major source of fresh water for sustenance of millions of people in the Hindu Kush, Karakoram and Himalaya (HKH) region. The meltwater supplies are highly vulnerable to changing climate which may affect irrigated agriculture, livelihoods and natural ecosystems in the region. In the present study, a correlation between ice-melt runoff, glacier area and mean temperature was developed and applied to assess glacier-melt runoff using lapse rates of temperature (LRT) in 10 river basins of the HKH ranges of Pakistan. The LRT of ablation period was determined about –0.39°C/100 m in the Hindu Kush, –0.67°C/100 m in the Karakoram and –0.59°C/100 m in the Himalayas. Maximum ice-melt runoff was estimated from 4500–5000 m in seven basins, whereas it was maximum from 5000–5500 m elevation range in two basins. In Jhelum basin, the runoff was found maximum from 4000–4500 m elevation range. Overall, about 28.3% of the glacier-melt appears to generate from 5000–5500 m and 27.8% from 4500–5000 m elevation range in all three HKH ranges. However, thorough glacio-hydrological studies are essential in context of possible changes in climate and land use for effective water resource management in this region in future.