Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Consumer Acceptance of AI and Human Design in Bag Industry

: This study investigates the impact of AI and human designers on consumer acceptance of different categories of bags (luxury, mass-branded, and unbranded). The research proposes that consumers have more favorable feelings and purchase attitudes towards bags designed by AI, especially in the luxury category. The study also explores the interaction between designer type and bag category on consumer acceptance. The research design includes hypothesis design, experiment design, and questionnaire design. The results indicate that female consumers show higher favorability and purchase attitudes towards AI-designed bags across all bag categories. However, the interaction between designer type and bag category was not significant. Age was found to be an influencing factor, with different age groups showing significant differences in favorability and purchase attitudes.
Unsupervised Multitemporal Domain Adaptation With Source Labels Learning

Multitemporal domain adaptation (DA) is very useful for solving the spectral drift problem between different images and is a basis step of multitemporal classification. However, for high-resolution images, they always have a few spectral bands. A few spectral bands are difficult to establish accurate alignment model. In order to achieving accurate multitemporal alignment on a few spectral bands’ high-resolution images, source label learning step is proposed in this letter and used to optimize traditional manifold alignment (MA). The core of this method is to improve the erroneous manifold structure by combining majority voting and weighting coefficients. Besides, this method is a universal step and can be used for optimizing all MA methods. Two groups of data sets captured by Chinese GF1 and GF2 satellites are used for performance evaluation. The experimental results demonstrate the effectiveness of our method and indicate our method significantly outperforms the traditional DA methods.
Research on the Electromagnetic Emission Along the Contact Line of Electrified Trains Passing Through Neutral Sections

To study the electromagnetic emission along a contact line when an electrified high-speed train passes through a neutral section, this paper models the transmission line of the traction network, provides a calculation method and boundary conditions for the parameters of the model, solves for the current distribution along the contact line, and calculates the electromagnetic emission of the contact line considering the antenna effect. Thus, the electromagnetic emission characteristics along the electrified railway are determined. Moreover, the actual electromagnetic emissions of a train passing through a neutral section are measured with a field test method and compared with the calculation results to verify the effectiveness of the model.
Research on learner feedback and text analysis of web design and development course—Based on Online Open Course Reviews from 6 Institutions

: In order to understand the learners' needs, concerns, and directions for improving web design and development courses, this study collected similar courses from six universities in China's MOOC (Massive Open Online Course) platform(https://www.icourse163.org/). A combination of quantitative and qualitative analysis methods was employed, utilizing Python for word frequency analysis and ROSTCM6 for sentiment analysis. In-depth analysis was conducted on highly praised and negative comments. The experimental results revealed that the evaluation of the courses mainly focused on course content and instructor performance, with significantly more positive feedback than negative feedback. Students expressed concerns regarding the lack of practical materials, variations in software versions, and excessive theoretical content during lectures. Based on the research findings, recommendations were proposed in five aspects, including course content organization and arrangement.
Variability in hesitations in Punjabi semi-spontaneous narrative speech: An automatic clustering based analysis

This research offers a ﬁrst analysis of hesitations in Punjabi, an under-researched language, in conjunction with a cross-linguistic comparison. We show speaker related variation in the frequency of hesitations in Punjabi. Variability was also observed in the form of ﬁlled pauses which comprised vowels or vowel-consonant sequences with nasals or obstruents. The vowels in ﬁlled pauses differed based on their segmental context and individual speakers. Automatic clustering showed that (lexical-ized) ﬁlled pauses were grouped by F0 register, instead of F0 contour. These results (1) have cross-linguistic signiﬁcance and (2) provide insights for modeling hesitations in speech technological systems
Design of a Miniatured, Electromagnetic Quasi-Yagi Antenna with Circularly Polarized Characteristics

A novel low-profile circularly polarized (CP) quasi-Yagi antenna with a wide 3-dB axial ratio (AR) bandwidth is proposed, which generates the endfire beam by combining magnetic microstrip cavity and folded electric dipoles with a 90∘ phase difference. The proposed antenna includes two shorting pins, which are employed to attain wider impedance bandwidth. Then, a phase delay line is added to connects two pairs of folded dipoles and a magnetic microstrip cavity to realize righthanded circularly polarized (RHCP). After optimization, a prototype with an overall size of 1.17×0.91× 0. 0387λ30 is designed. Simulated results demonstrate that the final model has 18.1% (5.01-6.01 GHz) 3-dB AR bandwidth and −10dB impedance bandwidth of 5.2%(5.67−5.97GHz), respectively. In addition, experimental results demonstrate that the designed antenna is very applicable to the RFID system.
Etiology of tooth discoloration- a review

Discoloration of the tooth can erode the sparkle from a smile. In the management of patients with discolored tooth, knowledge of the mechanisms behind tooth discoloration is of relevance as it can influence the treatment plan. In certain instances it may even have an effect on the outcome of the treatment. A grasp of the pathological process involved in tooth staining will also allow the dental practitioner to explain to the patient the exact nature of the condition. An overview of the etiology and the clinical appearance of tooth discoloration are discussed in this review.
The Role of Anger Expression in Unmet Expectations and Depressive Symptoms

Background and Objectives. Depression is associated with unmet relational expectations, but little is known about how both partners experience meeting expectations and how this relates to anger expression and depressive symptoms. The aim of study 1 was to explore the role of anger expression in explaining the link between relational expectations and depression using the actor-partner interdependence mediation model. Additionally, social expectations beyond romantic relationships are associated with societal demands. Study 2 is aimed at investigating the role of anger expression in the relationship between internalized social demands (i.e., outer self-awareness) and depressive symptoms. Design and Methods. Online self-report data were collected from N = 194 romantic partners (97 dyads) in study 1 and N = 407 individuals in study 2. Results. In study 1, unmet expectations were associated with both actor and partner effects on depressive symptoms and anger expression. In particular, inwardly directed anger was linked to depressive symptoms in the case of the individual experiencing unmet expectations, whereas outwardly directed anger predicted such symptoms in the case of the partner's unmet expectations. In study 2, there was a positive association between outer self-awareness and directing anger inwards and outwards, which was linked to higher depressive symptoms. Furthermore, while directing anger inwards seemed to be a universal mechanism underlying the association, the interpersonal mechanism (i.e., directing anger outwards) was found to be dependent on gender.
The differences in brain structures and blood flow between male and female

This paper will analyze the sex differences found in brain anatomy. In particular, the grey and white matter, the cerebral blood flow, and more specific regions will be investigated. The global volume and particular areas of grey matter, white issue, and blood flow will be included. Their differences will also have some emotional factors discussions. Information and data collected from papers before are used to conclude the end. Men undoubtedly have a more considerable brain volume, and females have higher total cerebral blood flow. The sizes and neuron numbers in the specific constituents still doubt it. The possible purpose of such research is to develop in the sociology and medical sectors.
Foetal and Neonatal Alloimmune Thrombocytopenia And HLA class

Background: Foetal and neonatal alloimmune thrombocytopenia (FNAIT) is estimated to occur at an incidence of 1:1-2000 live borns, while maternal immunisation against HLA class I is a common finding during pregnancy and after delivery. Whether anti-HLA antibodies can cause FNAIT in some cases is debateable. Aim: This study aims to give a background to FNAIT, and to describe cases of suspected or anticipated FNAIT referred to the thrombocyte and leukocyte laboratory at Karolinska University Hospital, with a focus on cases that could be due to antiHLA class I antibodies. In an experimental part, anti-HLA class I antibody specificities in selected cases were analysed and the expression of HLA class I antigens on adult and umbilical cord blood platelets was determined. Results: Out of 260 patients referred from January 2007 until March 2012, alloantibodies were detected in 43%, and anti-HLA class I antibodies were most common. 35 patients were diagnosed with FNAIT with HPA incompatibilities between the parents and detectable antibodies. Sera from 23 anti-HLA class I immunised mothers were analysed further, and most of them had antibodies reactive with several specificities. The most common specificities were of the HLA-B type, against rare alleles. Flow cytometry analysis of HLA-A,B,C and HLA-B,C on platelets indicated that platelets from neonates had a higher HLA-A expression and lower HLA-BC expression. Conclusion: FNAIT is rare, and is probably even more rarely caused by HLA class I immunisation, although it remains a possibility. Maternal anti-HLA class I antibodies have been shown to be associated with complications related to pregnancy, and it is not clear how the presence of these antibodies affects the foetus. In cases of suspected HLA alloimmunisation, most of the mothers had broadly reacting antibodies. The expression of HLA class I on platelets seems to be different in adult and umbilical cord blood.
Facial Recognition Technology: A Comprehensive Overview

: This paper provides an extensive review of facial recognition technology, tracing its historical evolution, exploring its functioning and applications, discussing the challenges it presents, and contemplating future prospects. The technology's inception and advancement are traced from its early stages to the current state, highlighting the key developments that have shaped its progression. An exploration of various types of facial recognition systems, including 2D, 3D, and thermal, underscores the diversity and complexity of this technology. A detailed explanation of how facial recognition works is provided, outlining the processes of data acquisition, face detection, feature extraction, and matching. We further delve into the broad array of its applications across multiple domains, such as security and surveillance, smartphone authentication, social media, healthcare, and retail. Despite the impressive benefits and applications of facial recognition technology, it also presents notable challenges. These include accuracy concerns, privacy and ethical implications, and the need for comprehensive regulatory frameworks. The paper concludes with a forward-looking discussion on the future of facial recognition technology, considering potential innovations and growth predictions. This review provides a comprehensive understanding of facial recognition technology, underscoring its relevance in our digitally driven world and the implications it holds for the future.
Research on the willingness of Chinese mobile payment APP users to continue to use from the perspective of status quo bias

Based on the status quo bias, explore the impact of brand attachment on the continuous use of mobile payment platform users. Introducing the S-O-R model, which takes sunk costs and conversion costs as stimuli, ultimately affecting users’ willingness to continue using through brand attachment. Conduct a questionnaire survey and conduct empirical analysis. Finally, it was found that sunk costs and conversion costs positively affect brand attachment, and brand attachment positively affects user willingness to use
Low Overhead Spectrum Allocation and Secondary Access in Cognitive Radio Networks

Cognitive radio networks spectrum access, which allows secondary users opportunistically access unused licensed channels to exploit instantaneous spectrum availability, is a promising approach to achieve efficient spectrum utilization and mitigate spectrum scarcity. In order to reduce spectrum handoff overhead, this paper propose two heuristic spectrum allocation and reallocation methods based on graph coloring method. For a given network topology, the proposed spectrum allocation method first generates an interference graph based on the network topology and interference constraints. Then for secondary access on a graph coloring algorithm is cooperative spectrum reallocation among secondary users to minimize spectrum handoffs. Obtained results demonstrate that graph coloring method and algorithms are a promising concept that can enhance the performance of secondary spectrum usage.
Architecting the Cloud: Design Decisions for Cloud Computing Service Models (Saas, Paas, and Iaas)

An expert guide to selecting the right cloud service model for your businessCloud computing is all the rage, allowing for the delivery of computing and storage capacity to a diverse community of end-recipients. However, before you can decide on a cloud model, you need to determine what the ideal cloud service model is for your business. Helping you cut through all the haze, Architecting the Cloud is vendor neutral and guides you in making one of the most critical technology decisions that you will face: selecting the right cloud service model(s) based on a combination of both business and technology requirements. Guides corporations through key cloud design considerations Discusses the pros and cons of each cloud service model Highlights major design considerations in areas such as security, data privacy, logging, data storage, SLA monitoring, and more Clearly defines the services cloud providers offer for each service model and the cloud services IT must provide Arming you with the information you need to choose the right cloud service provider, Architecting the Cloud is a comprehensive guide covering everything you need to be aware of in selecting the right cloud service model for you.
The inhibition of growth and metastasis of human pancreatic ductaladenocarcinoma by MART-10

Previous studies demonstrated that MART-10, an analog to the active form of vitamin D3, has anti-cancer properties inanaplastic thyroid cancer (ATC). It can inhibit ATC’s metastasis by altering cadherin protein expression and preventingthe EMT process. This study aims to investigate the effect of MART-10 in a different system, pancreatic ductaladenocarcinoma (PDAC), in both in vitro and in vivo conditions. Methods: The study will use two known PDAC celllines. The cells will be treated with increasing MART-10 for various durations. In vitro metastasis will be measuredby trans-well migration and Matrigel invasion assay, in vitro proliferation will be measured by CCK-8 assay, and theinteraction between MART-10 and PDAC will be investigated with Western blot. Mice will be injected with tumorcells and treated with increasing MART-10; in vivo tumor growth and metastasis will be recorded weekly. The positivecontrol for the experiments is ADH-1 (Exherin), and the negative control is PBS in DMSO. Possible results: Thereare three main possible results: (1) MART-10 inhibits the growth and metastasis of PDAC cells; (2) MART-10 acts asa stimulant for PDAC growth and metastasis; (3) MART-10 has no significant effect on the growth and metastasis ofPDAC. Conclusion: The result of the study will provide important insight into the preclinical effectiveness of MART10 in PDAC; it also sets the basis for future clinical studies of the drug. Future studies should investigate the mechanismunderlying MART-10’s effectiveness in PDAC or search for drug combinations with MART-10 that synergize thedisease.
Ixabepilone: targeting βIII-tubulin expression in taxane-resistant malignancies

Microtubule-targeting agents, such as taxanes and epothilones, block mitosis and cell proliferation by targeting the dynamics of the cytoskeleton. The taxanes are widely used for treatment of various malignancies, but primary and acquired resistance to chemotherapy remains a significant clinical concern. Class I, II, III, IV, and V β-tubulin isotypes are expressed in human tumors. Overexpression of the βIII-tubulin isotype is one mechanism that can render tumor cells resistant to taxanes. The relative expression of βIII-tubulin correlates with clinical outcomes in several tumor types, including breast cancer, non–small cell lung cancer, and ovarian cancer. A novel analogue of epothilone B, ixabepilone, has recently been approved in combination with capecitabine for the treatment of patients with anthracycline- and taxane-resistant locally advanced or metastatic breast cancer and as monotherapy in patients whose tumors are resistant or refractory to an anthracycline, a taxane, and capecitabine. The significant antitumor activity of ixabepilone in taxane-resistant tumors may be related to its preferential suppression of the dynamic instability of α/βIII-microtubules in cells expressing high levels of βIII-tubulin. [Mol Cancer Ther 2009;8(1):17–25]
Everything in the Open World: Towards Universal Object Detection”

COCO [20]. The COCO dataset contains dense and highquality annotations from human labor and covers 80 common classes from nature-domain images. For our openworld experiments, we select 35k images from its training set for training our UniDetector. The high-quality annotations also make the COCO dataset widely used in traditional object detection. Because of this, we also conduct experiments on the COCO dataset for evaluating our UniDetector in the closed world. We train our UniDetector on the 115k images from the COCO 2017 training set and evaluate it on the validation set of 5,000 images. We also report the closed-world AP on the test-dev split with 20k images.
The Sigspatial Special Newsletter of the Association for Computing Machinery Special Interest Group on Spatial Information the Sigspatial Special Table of Contents Section 1: Special Issue on Mobile Data Analytics Introduction to This Special Issue: Mobile Data Analytics…………...………...………. Chi-yin Cho

ACM SIGSPATIAL addresses issues related to the acquisition, management, and processing of spatially-related information with a focus on algorithmic, geometric, and visual considerations. The scope includes, but is not limited to, geographic information systems. For more details and membership information for ACM SIGSPATIAL as well as for accessing the newsletters please visit The SIGSPATIAL Special serves the community by publishing short contributions such as SIGSPATIAL conferences' highlights, calls and announcements for conferences and journals that are of interest to the community, as well as short technical notes on current topics. The newsletter has three issues every year, i.e., March, July, and November. For more detailed information regarding the newsletter or suggestions please contact the editor via email at chiychow@cityu.edu. hk. Notice to contributing authors to The SIGSPATIAL Special: By submitting your article for distribution in this publication, you hereby grant to ACM the following non-exclusive, perpetual, worldwide rights:  to publish in print on condition of acceptance by the editor,  to digitize and post your article in the electronic version of this publication,  to include the article in the ACM Digital Library,  to allow users to copy and distribute the article for noncommercial, educational or research purposes. However, as a contributing author, you retain copyright to your article and ACM will make every effort to refer requests for commercial use directly to you. Notice to the readers: Opinions expressed in articles and letters are those of the author(s) and do not necessarily express the opinions of the ACM, SIGSPATIAL or the newsletter. In the first section, we have a special issue of some topic of interest to the SIGSPATIAL community. The topic of this issue is " Mobile Data Analytics " which is edited by our associate editor Dr. Chi-Yin Chow (Ted). I would like to sincerely thank all the newsletter authors, Dr. Chow, and event organizers for their generous contributions of time and effort that made this issue possible. I hope that you will find the newsletters interesting and informative and that you will enjoy this issue. With the rapid advancement of mobile devices and location acquisition technologies, more and more large-scale location-based data have been available for data analytics and realizing new location-aware services. Various large-scale location-based data including user-generated data in location-based social networks (LBSNs) and GPS data reported from vehicles or sensors have led to research challenges and opportunists in location-spatial and spatio-temporal databases, …
Comparative Assessment of the Effects of two Vegetation Zone Forests on Plant Litter Quantity and Quality in Taraba State, Nigeria

The study was carried out to assess plant litter quantity and quality between montane and high forest zones of Taraba State, Nigeria. Two forest reserves were randomly selected out of the forest zones in Taraba State for this study; the forests were River Amboi and Ngel Yaki forest reserves for high forests and montane forest zones respectively. Two 10 kilometers line transects were established in each of the forest reserves along which 20 m x 20 m plots were laid at 2 kilometers intervals. Plants litter samples were systematically collected from each plot for onward transfer to the laboratory for analysis using standard laboratory procedures. Plant litter was analysed for litter quantity and quality parameters. Student’s t-test and Pearsons correlation coefficient were used to compare and determine the relationship between the plant litter parameters assesed respectively between the two forest zones. There was significant difference in plant litter quantity (P<0.05) between Montane forest (0.6630) and High forest (0.5040). The distribution of litter quality, Mg (0.000) and Na (0.000) showed that montane forest significantly higher than the high forest (p ˂ 0.05). Organic carbon (0.357), Total nitrogen (0.598), available Phosphorus (0.662), K (0.428), Ca (0.531), and S (0.564) show no significant differences (p ˃ 0.05) between the montane and high forest zones. The result showed that in montane forest correlation between Na and Ca were significant (0.684) at (p ˂ 0.05). However, litter quantity and available phosphorus was significantly and negatively correlated (- 0.655) at (p ˂ 0.05). At high forest K and organic carbon was significantly and negatively correlated (- 0.644) at (p ˂ 0.05) litter quantity and TN also showed significantly and negatively correlation (- 0.751) at (p ˂ 0.05). Inclusion montane forest had higher litter quantity and quality than high forest.