Miracle-dz/UniFAR-FTUs huggingface dataset:
Traffic Sign Three‐Dimensional Reconstruction Based on Point Clouds and Panoramic Images

Traffic signs are a very important source of information for drivers and pilotless automobiles. With the advance of Mobile LiDAR System (MLS), massive point clouds have been applied in three‐dimensional digital city modelling. However, traffic signs in MLS point clouds are low density, colourless and incomplete. This paper presents a new method for the reconstruction of vertical rectangle traffic sign point clouds based on panoramic images. In this method, traffic sign point clouds are extracted based on arc feature and spatial semantic features analysis. Traffic signs in images are detected by colour and shape features and a convolutional neural network. Traffic sign point cloud and images are registered based on outline features. Finally, traffic sign points match traffic sign pixels to reconstruct the traffic sign point cloud. Experimental results have demonstrated that this proposed method can effectively obtain colourful and complete traffic sign point clouds with high resolution.
Efficacy of Remimazolam for Procedural Sedation in American Society of Anesthesiologists (ASA) I to IV Patients Undergoing Colonoscopy: A Systematic Review and Meta-Analysis

Remimazolam is made by combining midazolam and remifentanil as an alternative to conventional sedatives. To evaluate the efficacy of remimazolam for sedation in patients undergoing colonoscopy, we conducted a systematic review and meta-analysis of the available randomized controlled trials (RCTs) comparing remimazolam and midazolam. A search was conducted using PubMed, Cochrane Library, and clinicaltrial.gov from inception till December 26, 2021, for RCTs that investigated the efficacy of remimazolam during the above-mentioned procedure. There was no restriction of language. A quality assessment was performed using the Cochrane Risk-of-Bias tool. The data were pooled, and a meta-analysis was completed. The systemic review was conducted in accordance with the Preferred Reporting Items for Systemic Reviews and Meta-Analysis (PRISMA) guideline statement. Three randomized controlled trials involving 539 patients were included in the meta-analysis. Compared with midazolam during colonoscopy, remimazolam results in reduced need for top-up doses (RR= 3.45, 95% CI=1.07 to 11.14; P=0.04, I2=84%). The need for rescue medication was reduced with remimazolam as compared to midazolam (RR=2.42, 95%CI=1.04 to 5.61; P=0.04, I2=96%). There was no significant difference observed between the two drugs on completion of colonoscopy and the overall procedural sedation, but the sensitivity analysis favored remimazolam over midazolam for procedural sedation (RR=4.08, 95%CI=2.35 to 7.09; P<0.00001, I2=39%). This analysis demonstrates the advantages of remimazolam over other agents and sets a platform for relevant future studies.
The Value of High-Resolution Ultrasound Combined with Shear-Wave Elastography under Artificial Intelligence Algorithm in Quantitative Evaluation of Skin Thickness in Localized Scleroderma

The aim of this study was to explore the value of high-resolution ultrasound combined with shear-wave elastography (SWE) in measuring skin thickness in patients with localized scleroderma (LS). Fifty patients with LS diagnosed by pathology in the hospital were selected as the research object, with a total of 96 lesions. Healthy people (50 cases) in the same period were selected as the control group. The skin thickness of the abdomen, chest, and left finger of the two groups was compared. The traditional nonlocal means (NLM) algorithm was improved by changing the Euclidean distance and introducing a cosine function, which was applied to the ultrasonic imaging intelligent diagnosis of patients with localized scleroderma. SWE imaging was evaluated, and the results demonstrated that LS lesion edema stage accounted for 7.29%, hardening stage occupied 43.75%, and the proportion of atrophy stage reached 48.96%. When the size of shell was 1 mm, maximum elastic modulus (Emax) was 0.984, mean of elastic modulus (Emean) was 0.926, and electro-static discharge (Esd) was 0.965. When the size of shell was 2 mm, the elastic moduli around lesions were as follows: Emax was 0.998, Emean was 0.968, and Esd was 0.997. By comparing the skin thickness of the abdomen, chest, and left finger, it was found that there was a significant difference between the LS group and the control group (P < 0.05). When the shell was 2 mm, the effect of sensitivity specificity on SWE imaging was better than that when the shell was 1 mm. In summary, the improved NLM algorithm showed excellent denoising effects on the ultrasonic images of LS patients. Besides, it could assist clinicians in ultrasonic imaging diagnosis for LS patients and effectively improve the diagnostic accuracy of diseases.
Islamic Research Methodology in Contemporary Research: Is it Applicable?

Islam motivates its followers to always ponder, seek answers and do research work or scientific studies in life. In fact, the primary objective of Islamic research itself is to find the important truth about a matter and recommend a solution to the issue centred on Islamic law and principles. Numerous issues and dilemmas have lately emerged in the community that necessitate scientific research, particularly in the social sciences. To undertake this scientific research, however, most current Islamic academics are more likely to use Western research methodology, which are believed to have paradigms, traits, and methods that are at conflict with the Islamic worldview. This trend has motivated some Islamic scholars to adopt the concept of Islamization to create distinct models of current Islamic research. As a result, this study aims to examine the importance of using the notion of Islamization in contemporary Islamic research using numerous models offered by selected Islamic academics. This study takes a qualitative approach, in which data is gathered from secondary sources via literature reviews and processed using content analytic methods. The study’s findings revealed that each paradigm has its own set of strengths and weaknesses when applied to Islamic studies. Furthermore, this research discovered that Western research procedures employed in the social sciences can be applied to support contemporary Islamic research in order to enhance the quality of the research process and outcomes. Technically, this paper contributes to the body of knowledge on the use of the idea of Islamization in contemporary Islamic research methodology. In practise, this research will lead to more research into contemporary Islamic research methodology and the concept of Islamization of knowledge in the field of Islamic studies by contemporary Islamic academics.
Contingency in the Implementation of Management Tools: Evidence from the Aerospace Sector in Italy and UK

By reviewing the practice of tools implementation in the front end of innovation in 12 aerospace companies in Italy and UK, this study proposes an approach to management tools portfolio characterisation and configuration based on contingency theory. The research found that three types of factors determine and characterise each portfolio of tools: 1) the tools’ aims; 2) the tools’ implementation characteristics (e.g. the frequency of use, the adaptation and codification of the tool, etc.) and 3) the tools’ application domain characteristics (the front end of innovation in this study). This paper also provides in depth evidence about the practice in the activities of innovation front end, an area still marginally documented and understood, despite its strong importance for firms’ competitiveness.
Substrate integrated waveguide filter on LCP substrate at 94 GHz

In this paper we present a substrate integrated waveguide (SIW) filter on a thin film liquid crystal polymer (LCP) substrate at 94 GHz. The proposed filter consists of two cascaded SIW cavities coupled through an iris window, and is fed by microstrip lines. These two cavities are constructed using twenty four vias. The full‐wave simulation predicts the proposed filter has a pass band of 8% centered at 94 GHz. To validate our design, low‐loss and low‐reflection CBCPW probe pads without ground‐connected vias were also designed to integrate with the microstrip lines for probing. The devices were fabricated on a large LCP panel by using commercial state‐of‐the‐art large‐scale circuit printing technologies. The measured spectrum responses of the second‐ordered SIW filter are in good agreement with the simulated ones, and the total insertion loss is below 2.6 dB at 94 GHz with two feeding CBCPW pads. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:577–580, 2016
Adsorption and Desorption of Major Gases on Some Clays Obtained by Heating Tobacco at Certain Temperatures

The tobacco roasting-process was carried out and a study was carried out on the composition of the gases released during this process. It has been determined that the amounts of substances obtained from the studied tobacco are generally less than the amounts of substances obtained in the literature. The volatile gases formed during this roasting were passed over some clay minerals and adsorbed on them. The adsorbed components were desorbed by diethyl ether extraction. Adsorption and desorption analyzes were investigated by GC and TG techniques. The components released during the tobacco-roasting process were first directly obtained and analyzed by gas chromatography. Then, the adsorbing efficiency to clay for each of the components in the vapors from tobacco was calculated by comparing the amount of the component retained in the absence of adsorbent with the amount retained after the component was passed over the adsorbent. The structure of the clay samples used as adsorbent was investigated by chemical analysis and DTA techniques. The adsorption efficiencies are discussed with the physical properties of the clays, the affinities of the volatile components, and their adsorption efficiency. Most of the volatiles adsorbed on the adsorbents were recovered by diethyl ether extraction. Especially benzaldehyde, propionic acid, furfuryl alcohol, 3-methylbutanoic acid and nicotine were recovered with good yield.
Personality Development Across the Lifespan

Charles Dickens’s classic novel, A Christmas Carol, chronicles the tale of an embittered, compassionless miser named Ebenezer Scrooge. One cold, bleak Christmas Eve, Ebenezer is haunted by three apparitions. These spirits reveal that—should he fail to fundamentally alter his harsh, penurious ways—Scrooge’s life will end in a lonely and unmourned death. Desperate to avoid this wretched fate, Scrooge pledges to change his personality. And true to his word, in the novel’s final pages, Ebenezer transforms from a tightfisted and coldhearted antagonist into an extraordinarily generous, fatherly, and compassionate benefactor. But can real people actually transform core personality traits simply because they believe that doing so would be valuable? In recent years, psychological scientists have begun to tackle this question (Hudson & Fraley, 2015; Robinson, Noftle, Guo, Asadi, & Zhang, 2015). Research has attempted to understand whether people, like Scrooge, want to change their personality traits—and if so, which traits they desire to change and why. Research has also begun to examine whether people are able to successfully change their personality traits—and if so, what kinds of factors facilitate this process. The purpose of this chapter is to overview theory and research on volitional personality change—people’s desires and attempts to change their own personality traits. After reviewing existing theory and research, we conclude by highlighting what we believe to be the most important questions for future research to address.
Detecting karst caverns by pattern recognition

Strong localized heterogeneities in the subsurface, such as karst caverns and sink-holes, cause scattering of seismic waves, thereby degrading the images obtained in conventional processing. We explore the possibility of using pattern recognition techniques for detecting these strong heterogeneities from seismic data. Through synthetic models, we generate data with signiﬁcant scattering. We then perform reverse time migration (RTM) and use various pre-processing techniques to engineer features ﬁt for supervised learning algorithms. Eventually, we use support vector machines (SVM) to classify these features and retrieve the approximate cavern locations.
Discussion Leader Papers

1 EXPLOITING MULTI-DOMAIN VISUAL INFORMATION FOR FAKE NEWS DETECTION [2] Most earlier work exploring the automated detection of fake news in social media focus primarily on textual features. Furthermore, few prior image-based detectors utilize photo characteristics at both the physical (frequency domain) and semantic (pixel domain) level. Therefore, this paper uses a CNN-RRN network to extract features at both levels and then uses an attention mechanism to fuse the features together. Finally, a softmax layer classifies images into two classes fake news image or real-news image. Their model saw noticeable improvements when compared to previous approaches. This paper is pretty clear and concise and has a real-world application that makes it an interesting read. Future works have also built upon this model and have used it as a baseline for performance comparisons. In general, it’s a good introductory paper to image forensics.
IJSRD-International Journal for Scientific Research & Development| Vol. 9, Issue 10, 2021 | ISSN (online): 2321-0613

The suggested system is designed to meet load demand, control power flow from various sources, inject excess power into the grid, and charge the battery from the grid as needed. To capture electricity from PV and manage battery charging and discharging, a bidirectional buck-boost converter is employed. For ac load feeding and grid interface, a single-phase full bridge bidirectional converter is utilized. In comparison to existing grid-connected hybrid systems, the suggested converter architecture features fewer power conversion stages, fewer components, and lower losses. This increases the system's efficiency and dependability. A bidirectional photovoltaic battery-based multi-array dc to dc converter for residential usage is suggested. The suggested method is an elegant approach to connect numerous arrays to a grid utilizing PV sources to get the most energy out of them. A standard full-bridge inverter is used after a unique multiinput transformer coupled bidirectional dc-dc converter. A flexible control method is provided for higher PV power consumption, battery capacities without affecting battery life, and power flow management in a grid-connected PV batterybased system serving ac loads. To determine the scheme's feasibility, detailed simulation studies are conducted. The experimental results are consistent with models and support the demonstration of the system's capacity to function in either grid feeding or stand-alone mode. The suggested arrangement can provide uninterruptible power to ac loads while also ensuring that surplus solar electricity is discharged
Ufasomes: A Potential Vesicular Carrier System

Vesicular drug delivery system consists of one or more concentric bilayers made up of amphiphilic molecules surrounding an aqueous compartment. Their ability to localize the activity of drug at the site or organ of action makes it an important delivery system for the targeted delivery of drugs. Vesicular drug delivery system sustains the drug action at a predetermined rate. Thus it maintains an efficient drug level in the body, and simultaneously minimizes the undesirable side effects. Ufasomes are unsaturated fatty acid vesicles. They are suspensions of closed lipid bilayers that are composed of fatty acids and their ionized species (soap) which are restricted to narrow pH range from 7 to 9. Lipid film hydration method is used commonly for the preparation of fatty acid vesicles. Oleic acid is the most common fatty acid used as the major component for the preparation of ufasomes. This article describes method of ufasome preparation, advantages, disadvantages, future progress and characterization of ufasomes. [3, 7]
A Novel Method of Android Malware Detection Based on Ensemble Learning Algorithm

Android is popular for mobile devices in recent years. As the risk of malware is sharply increasing in Android platform, Android malware detection has become an important research topic. However, the current work shows that the detection of malware still needs to be reformed. Many current results suggest a modification of permissions or a combination of permissions and intents, but Android's fragmentation issues and requiring rooting, hindering the widespread adoption of those methods. Many approaches have been proposed to detect this attack by modifying the Android OS. Existing anti-viruses depend on signature databases that need to be updated from time to time and are unable to detect zero-day malware. The Android Operating system allows inter-application communication through the use of component reuse by using intents. A malware detection model is developed based on ensemble learning algorithms and on the basis of the random forest in WEKA. The method we proposed can take a better efficiency and precision.
Factors affecting Jordanian entrepreneurs’ intentions to use smartphone applications in business

Nowadays, smartphones are the leading dominant mobile communication devices, attributed to their multifunctional facilities and the mounting benefits provided by online platforms. From a business perspective, smartphones can be a practical substitute for conducting many business transactions online. Companies have transferred their traditional business models to e-business models employing new technologies. This paper aims to examine the entrepreneurs’ intentions to use smartphone applications in conducting business transactions as well as explore entrepreneurial opportunities in the Jordanian market. The study will use the quantitative method to examine the factors affecting Jordanian entrepreneurs’ intention to use Smartphone applications. A questionnaire was used to collect the required data from the study population. The respondents were selected using a random sampling method to obtain the needed data from entrepreneurs in Amman, Jordan. A total of 500 questionnaires were distributed, and 440 valid questionnaires were returned and included in the analysis. The revealed results show that ease of use, perceived security, and trust significantly influence entrepreneurs’ intentions to use Smartphone applications, while responsiveness shows no significant influence. The current study provides valuable information on the factors that nurture entrepreneurs' intentions to adopt smartphone applications in Jordan. Finally, the smartphone possesses high potential support for entrepreneurs in the business world. Entrepreneurs are advised to integrate smartphones more into business transactions to increase work efficiency benchmarks and boost their businesses.
University of Birmingham Dopamine D1-like receptor signalling in the hippocampus and amygdala modulates the acquisition of contextual fear conditioning

Rationale Dopamine D1-like receptor signalling is involved in contextual fear conditioning, but the brain regions involved and its role in other contextual fear memory processes remain unclear. Objectives The objective of this study was to investigate (1) the effects of SCH 23390, a dopamine D1/D5 receptor antagonist, on contextual fear memory encoding, retrieval and reconsolidation, and (2) if the effects of SCH 23390 on conditioning involve the dorsal hippocampus (DH) and/or basolateral amygdala (BLA). Methods Rats were used to examine the effects of systemically administering SCH 23390 on the acquisition, consolidation, retrieval and reconsolidation of contextual fear memory, and on locomotor activity and shock sensitivity. We also determined the effects of MK-801, an NMDA receptor antagonist, on contextual fear memory reconsolidation. The effects of infusing SCH 23390 locally into DH or BLA on contextual fear conditioning and locomotor activity were also examined. Results Systemic administration of SCH 23390 impaired contextual fear conditioning but had no effects on fear memory consolidation, retrieval or reconsolidation. MK-801 was found to impair reconsolidation, suggesting that the behavioural parameters used allowed for the pharmacological disruption of memory reconsolidation. The effects of SCH 23390 on conditioning were unlikely the result of any lasting drug effects on locomotor activity at memory test or any acute drug effects on shock sensitivity during conditioning. SCH 23390 infused into either DH or BLA impaired contextual fear conditioning and decreased locomotor activity. Conclusions These findings suggest that dopamine D1-like receptor signalling in DH and BLA contributes to the acquisition of contextual fear memory.
Microbial Biofilm of Plastic in Tropical Marine Environment and their Potential for Bioremediation of Plastic Waste

Plastic debris has become a global problem due to its widespread distribution and accumulation in the marine environment. Indigenous bacteria in the marine environment are able to quickly contaminate plastic surface and assemble to form successional plastisphere-specific bacterial. The formation of microbial biofilms on the plastic surface can indirectly initiate the degradation of plastic polymers. The environmental conditions of the tropical region make the growth of microbial biofilms become faster. However, the study on the biodiversity of microorganisms in marine plastic debris is limited to the northern hemisphere, which includes subtropical and temperate regions. This review provides current studies of biodiversity and community structure of plastisphere in tropical environments, including bacteria and microalgae, and their potential to degrade the plastic polymer. A systematic literature search has been conducted using Scopus with different combinations of keywords. In addition, Google Scholar databases were also used to find more studies on some specific topics, including plastic degrading organisms. The climate-associated areas have been grouped according to the latitude of the study site into tropical, subtropical, and temperate latitudes. The microorganisms analyzed in this review are only bacteria, actinobacteria, and microalgae.
Uniportal video-assisted thoracoscopic complex and simple segmentectomy for treating early-stage non- small cell lung cancer

Our study intends to investigate the feasibility and safety of uniportal video-assisted thoracoscopic complex and simple segmentectomy in treating early non-small cell lung cancer (NSCLC). We retrospectively selected 136 early NSCLC patients from January 2018 to July 2019. There were 61 patients receiving uniportal video-assisted thoracoscopic surgery (U-VATS) who were then assigned into simple segmentectomy group (SS) (n=15) and complex segmentectomy group (CS) (n=46) according to the number and shape of intersegmental plane. 75 patients undergoing U-VATS lobectomy (LT) during the same time were selected as control group. The operative and postoperative outcomes were evaluated. No differences were found regarding age, sex, smoking history among the three groups. Tumor size in segmentectomy group was significantly reduced compared to lobectomy (P<0.01). The operative time of SS group was significantly decreased compared with S group and LT group (P<0.01). Both SS and CS groups could acquire appropriate surgical margins. While lymph nodes number dissected in LT group was significantly increased compared to segmentectomy group (P<0.01). No differences of postoperative complications, tube duration, drainage volume and postoperative stay were observed among three groups. However, FEV1 (L), FVC (L) and MVV (L/min) in segmentectomy group and lobectomy group were significantly decreased at one month after surgery with more improvement in segmentectomy than lobectomy (P<0.05). In conclusion, U-VATS and simple segmentectomy is safe and feasible to treat early NSCLC in short term.