Miracle-dz/UniFAR-FTUs huggingface dataset:
A Fault Compensation Scheme for Cascaded H-Bridge Inverter With Reduced Common Mode Voltage

In this article, a common mode voltage (CMV) injection method is proposed to tolerate cell failure for cascaded H-bridge (CHB) inverters. The main purpose of CMV injection is to balance the unequal line-to-line voltages of the inverter without overmodulation when the faulty cells are bypassed. As any injected CMV can interfere with load and inverter proper operation, the proposed fault-tolerant method aims to reduce the peak value and the fundamental harmonic of the injected CMV to minimize its impact on the load and inverter functionality. Also, the proposed method provides features such as simplicity, maximum possible line-to-line voltage, fast real-time calculations, and supporting all faulty cases. The proposed method is evaluated by simulation and experimental results obtained from an 11-level CHB converter.
First genomic resource for an endangered neotropical mega-herbivore: the complete mitochondrial genome of the forest-dweller (Baird’s) tapir (Tapirus bairdii)

Baird’s tapir, or the Central American Tapir Tapirus bairdii (family Tapiridae), is one of the largest mammals native to the forests and wetlands of southern North America and Central America, and is categorized as ‘endangered’ on the 2014 IUCN Red List of Threatened Species. This study reports, for the first time, the complete mitochondrial genome of T. bairdii and examines the phylogenetic position of T. bairdii amongst closely related species in the same family and order to which it belongs using mitochondrial protein-coding genes (PCG’s). The circular, double-stranded, A-T rich mitochondrial genome of T. bairdii is 16,697 bp in length consisting of 13 protein-coding genes (PCG’s), two ribosomal RNA genes (rrnS (12s ribosomal RNA and rrnL (16s ribosomal RNA)), and 22 transfer RNA (tRNA) genes. A 33 bp long region was identified to be the origin of replication for the light strand (OL), and a 1,247 bp long control region (CR) contains the origin of replication for the heavy strand (OH). A majority of the PCG’s and tRNA genes are encoded on the positive, or heavy, strand. The gene order in T. baiirdi is identical to that of T. indicus and T. terrestris, the only two other species of extant tapirs with assembled mitochondrial genomes. An analysis of Ka/Ks ratios for all the PCG’s show values <1, suggesting that all these PCGs experience strong purifying selection. A maximum-likelihood phylogenetic analysis supports the monophyly of the genus Tapirus and the order Perissodactyla. The complete annotation and analysis of the mitochondrial genome of T. bairdii will contribute to a better understanding of the population genomic diversity and structure of this species, and it will assist in the conservation and protection of its dwindling populations.
Exploring the Effectiveness of LinkedIn as a Tool for B2B Customer Acquisition in the Asia Pacific Region

This research aims to explore the use of LinkedIn as a tool for B2B customer acquisition, in order to tap into a timely issue faced by many sales and partnerships personnel working digitally in globally dispersed sales teams. The research problem and data are based on Organization X and signifies the bottleneck in the sales process lying in not receiving an initial response from the potential clients who are contacted through LinkedIn. Hence the research objective is to identify the factors affecting this low conversion rate, and to understand LinkedIn behavioural patterns and preferences of working professionals in the Asia Pacific region. The key variables explored are message length, message subject, prior knowledge, and LinkedIn usage frequency, which have been proved to have a weak relationship with the rate of responsiveness, whereas the preference for being approached through channels other than LinkedIn, such as email and through fellow employees have been recorded to be higher. Preference has also been observed for shorter, precise messages with informative message subjects, which would lead to higher tendency of replying to B2B related messages on LinkedIn. Keywords: LinkedIn sales, B2B marketing, Customer acquisition, Digital sales
A tolerant coupling scheme for pigtailing laser diode module in active alignment process

A laser diode transmitter packaged in a butterfly module is coupled into a single mode fiber using double small ball lenses. The process of alignment and fixing of all the components inside the module is performed in an active alignment procedure, where the laser diode is powered and the output power is continuously measured during the alignment process of all coupling components to determine the optimum positions for maximum coupling efficiency and then fixed in their holders and to the main substrate by laser welding technique using dual beam Nd:YAG laser welding. The double ball lenses coupling scheme found to be very effective in mode matching between laser diode and single mode fiber. The axial, lateral and angular 1dB misalignment tolerances are enhanced for the transformed laser mode field radii in both X and Y directions. The experimentally measured coupling efficiency of the proposed coupling system was around 75% with a relaxed working distance (separation of the coupling system from the fiber tip) in the range of (2-4mm) by optimizing the separation between the two lenses as well as the separation between the first lens and the facet of the laser diode. The experimental results match very well with those obtained theoretically by employing ABCD ray tracing matrix.
Phenotypic and Genotypic Signatures of VWF Exon 18 in Eastern Saudi Patients Previously Diagnosed with Type 1 von Willebrand Disease

Introduction von Willebrand disease (VWD) is the most prevalent bleeding disease, which is associated with either low levels of von Willebrand factor (VWF) or abnormality in its structure. Three types of the disease have been described; type 1 (VWD1) and 3 (VWD3) are caused by deficiency of VWF and type 2 (VWD2) is caused by production of defective VWF. The aim of the current study was to characterize gene variants of VWF gene; exon 18 in particular, in a cohort of Saudi families as well as healthy control subjects. Methods A total of 19 families comprising 60 subjects of type 1 VWD were enrolled in the study. Participants were divided into 22 index cases, 21 affected family members and 17 unaffected family members ranging in age from 6 to 70 years. Blood samples were collected from all participants to measure activated partial thromboplastin time test (APTT), von Willebrand antigen level (VWF:Ag), Factor VIII activity (FVIII:C) and ristocetin cofactor activity (VWF:RCo), platelet count, determining the ABO blood group and for genetic analysis by Sanger sequencing. Results The results indicated that VWD1 patients have lower levels of VWF and factor VIII than the non-affected family members and the control subjects. In addition, five gene variants were reported in VWF exon 18; of these, c.2365A>G and c.2385T>C were more common in the control group and might be protective from VWD. Discussion In conclusion, VWF levels are influenced by blood group, and there was no association between variants in exon 18 of VWF gene reported in all groups and the disease status; however, blood group analysis and genome-wide genotyping could help to highlight high-risk groups and improve clinical management of VWD.
Role of Flexible Cystoscopy and Ultrasound Together in the Detection of Recurrent Superficial Bladder Tumors; A Comparison With Rigid Cystoscopy

Objective: To evaluate the role of flexible cystoscopy and ultrasound together in thedetection of recurrent superficial bladder tumors Method: This hospital based prospective comparative study was carried out in theDepartment of Urology, National Institute of Kidney Diseases and Urology, Sher-E-Banglanagar, Dhaka from January 2013 to June 2014. A total of 85 patients of post transurethralresection (TUR) and post chemotherapy state for superficial bladder tumors were includedin this study. Transabdominal ultrasonography of the bladder was performed for all casesby a consultant radiologist. Flexible cystoscopy was performed by a trained urologist forall. Finally conventional rigid cystoscopy with or without biopsy was performed at thesame setting to confirmed the findings. Result:The mean age was found 62.9±9.7 years with range from 41 to 80 years. Majority(82.4%) patients were male and 15(17.6%) patients were female. Male female ratio was4.7:1. It was observed that majority (54.1%) patients was found pT1 stage and 39(45.9%)was pTa stage. It was observed that more than two third (67.1%) patients had grade-Iand 28(32.9%) had grade-II.Sensitivity, specificity, accuracy, positive and negativepredictive values of combine USG and flexible cystoscopy for identification of recurrenttumors were 92.7%, 33.3%, 90.6%, 97.4% and 14.3%. Conclusion: Ultrasonography and flexible cytoscopy together can detect recurrentsuperficial bladder tumors as accurate as conventional rigid cytoscopy. Bangladesh Journal of Urology, Vol. 22, No. 1, January 2019 p.41-46
WHATSAPP FORENSICS PADA ANDROID SMARTPHONE : A SURVEY

Salah satu applikasi jejaring sosial yang sangat populer saat ini adalah WhatsApp. Hampir seluruh pengguna smartphone menggunakan applikasi ini sebagai media komunikasi. Berbagai macam perkembangan atau fitur baru telah banyak ditambahkan pengembang sebagai fasilitas yang dapat memanjakan para pengguna. Peranan sistem keamanan tentunya sangat penting untuk menunjang keamanan privasi para pengguna agar kerahasiaan tetap terjaga. Beberapa peneliti telah banyak melakukan experimen mobile forensics untuk mendapatkan berbagai informasi dari para pengguna WhatsApp. Pada paper ini membahas survey berbagai metoda dari berbagai para peneliti WhatsApp forensics. Dalam sebuah proses mobile metoda yang digunakan dalam proses forensics antara lain menggunakan internet protocol dan live memory. Untuk proses mobile forensics khususnya pada applikasi WhatsApp dapat dilakukan dengan menggunakan metoda tersebut untuk memperoleh data informasi yang dibutuhkan.
A modified direct power control strategy allowing the connection of three-phase inverter to the grid through LCL filters

This paper proposes a novel approach to adapt the conventional direct power control (DPC) for high power applications with a third order LCL filter. The strong resonance present in the LCL filter is damped with additional effort in the system control. The application of DPC to the control of three-phase voltage source inverter (VSI) connected to the grid through a LCL filter has not yet been considered. An active damping strategy for the LCL filter together with harmonic rejection control is proposed over the conventional DPC. The steady state as well as the dynamic performance of the proposed system is presented by means of the simulation results and compared with the conventional approach.
Settlement of MSW Landfills Due to Biodegradation

ABSTRACT Settlement in Municipal Solid Waste (MSW) landfills results in several problems, such as crack formations in the cover and liner system, damage to the liquid and gas collection and drainage system. Therefore, accurate prediction of landfill settlement is the key issue in the design and construction of landfills and also an integral part towards final closure of a site and its ultimate usage. However, settlement prediction in landfills is complex and less understood compared to settlement in coarse or fine grained soils primarily due to the complex biodegradation process and refuse inhomogeneity. Most of developed settlement models were not incorporated the factors such as temperature, pH and moisture content that affect the biodegradation processes. Thus, in this study, a mathematical model is formulated to compute the magnitude of settlement in municipal solid waste landfills due to biodegradation incorporating the effects of temperature, pH and moisture content. The result obtained from the developed model is also compared with the existing Park and Lee (1997) model.
A novel approach to driver behavior prediction using scene context and physical evidence for intelligent Adaptive Cruise Control (i-ACC)

Conventional driver assistance systems suffer from relatively late reaction timing. Adaptive Cruise Control (ACC) systems, for example, react to vehicles cutting-in from neighboring lanes once these vehicles are at least partly driving on the host vehicle's lane. The improvement by state of the art prediction approaches is limited, because the reliable approaches base on features, which are characteristic for the phenomenological effect of a behavior change. That means they are capable of predicting a behavior once it started. The Honda i-ACC overcomes the above mentioned limitation of delayed reaction by using a novel approach of behavior prediction. This approach combines two prediction methods: A context-based prediction (CBP) and a physical prediction (PP). The CBP evaluates the situational context of a predicted vehicle and does not use any phenomenological feature. It is thus capable of long-term prediction. In contrast, the PP evaluates phenomenological features by accumulating the predicted vehicle's history of recent positions and comparing them to a set of trajectories, which allows for an accurate short-term prediction. In an evaluation on 15000km of driving in Europe we will show that the new prediction approach achieves both, reliable and long-term prediction.
Soundscape Audio Signal Classification and Segmentation Using Listeners Perception of Background and Foreground Sound

Classiﬁcation and segmentation are important but time consuming tasks when using sound-scape recordings in sound design and research. Background and foreground are criteria when segmenting sound ﬁles according to a signal’s perceptual attributes. We establish the background and foreground classiﬁcation task within a musicological and soundscape context, and present a method for the automatic segmentation of soundscape recordings based on this task. We present a soundscape corpus with ground truth data obtained from a human perception study. An analysis of the corpus shows participants have a high level of agreement on the category assigned to background samples (92.5%), foreground samples (80.8%), and background with foreground samples (75.3%). We verify the corpus by training a Support Vector Machines classiﬁer. An analysis of the classiﬁer demonstrates a similarly high degree of certainty for background 96.7%, foreground 80%, and background with foreground 86.7%. Further, we report an experiment evaluating the classiﬁer with different analysis windows sizes, and demonstrate how smaller window sizes affect the performance of the classiﬁer. The classi-ﬁer is then implemented in a segmentation system. We present the results of an evaluation on three segmentation systems: median ﬁlter, k-depth lookahead, and a probabilistic algorithm selecting class association.
The Thirst for Power: The Impacts of Water Availability on Electricity Generation in China

Economic development under restricted resource availability has become a complex challenge for both developing and well-established economies. To maintain a sustainable electricity supply and mitigate the impact of water shortage on economic development, it is therefore important to understand how utility firms respond to the change in water availability and unpacks the underlying mechanisms of power outage. By pairing plant-level information with the fine-scale grid monthly meteorological data, we find significant plant-level technology substitution in response to water scarcity: a one-standard-deviation decrease in water availability causes an approximate 205 GWh decline per hydro power plant, a 145 GWh increase per nuclear plant, and a 28 GWh increase per coal-fired plant. This water-induced technology substitution takes place within the grid, and we do not identify cross-grid adjustment. Our estimation shows that the technology substitution is associated with a hidden increase in carbon emission up to 32000 tons per year by plant, resulting in an additional cost of 0.18 million USD. Water scarcity slows down the transition towards renewable energy.
A Food Waste Mobile Gamified Application Design Model using UX Agile Approach in Malaysia

—Food waste is a significant worldwide issue in landfill management. Due to improper implementation, technology applications related to food waste collection and its management system are still lacking in practice. The available applications have yet to address the issue of food waste management. Constructing an interactive mobile application is necessary for managing food waste collection for the decomposition process using Black Soldier Fly (BSF) treatment. Furthermore, as the mobile application requires participation from various user backgrounds, maintaining user involvement has become a priority. Gamification has emerged as one of the approaches that might favourably affect individual engagement behaviour. A comprehensive game element design is required where it focuses on how gamification can influence user engagement. This study aims to model the food waste gamified mobile application design to benefit Malaysia's decomposition ecosystem. It includes gamification, management features, and data visualization for reporting and will involve users from households, businesses, and the BSF farm. This paper presents the modelling process of a new mobile application design for this concept of study. The UX agile approach was used in gathering and designing the application requirements as it allows for active participation from all stakeholders. The result shows that the experts agree on the application design. This research will indirectly benefit the BSF industry in Malaysia, and it will have a significant impact on gamification, user experience, and food waste management in the direction of a sustainable environment.
Increasing of the Work Productivity of CMM Machine by Applying of Augmented Reality Technology

This article is focused on the area of metrology and possibility of connection between 3D coordinate measuring machine and augmented reality technology. The aim of this contribution was to bring close the possibilities of augmented reality for example by visualization of important zones during the measurement process. The use of this application is very useful and if the user needs to measure some object after the long time, he does not know, which points were defined for alignment or which position was set for measured object. In this case the use of augmented reality can be very useful.
CONCEPT MODEL OF AN OBJECT DETECTING MOBILE ROBOT (ODMR) IN A HOME INDOOR ENVIRONMENT

ABSTRACT In the current work we have focused the applied computing problems connected with the emerging of modern generic robots in households and small offices. Due to the complexity and non-static environment in everyday households, any robot’s abilities to orientate itself in a home environment and recognize different types of objects in its surroundings are vital for more advanced operation. Combining these demands with mass-market solutions, which rule out most of today’s more specialized techniques, and instead requires COTS-based solutions due to economic restrictions. This paper proposes and presents the software integration of an Object Detecting Mobile Robot (ODMR) with object recognition capabilities fully based on the integration and adaptation of COTS-products. The robot can orient, move, search and find objects of arbitrary shapes. Experimental results shows that a complex robotic system with functionality like many of the more expensive projects have, can be built with success from COTS products and limited resources. All aspects of the integration and necessary adaptations were possible to carry out successfully.
High-efficiency nanowire solar cells

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Robust optimal dynamic reinsurance policies under the mean-RVaR premium principle

Abstract This work investigates a robust optimal dynamic reinsurance problem for an ambiguity averse insurer (AAI) concerned about potential ambiguity of claim intensity. The study aims to determine a robust optimal reinsurance contract to minimize the discounted ruin probability imposed a penalization owing to model ambiguity, including discounting for the time of ruin. We suppose that the surplus process is modeled by a diffusion model. The AAI purchases reinsurance from the reinsurer to manage risk, subject to the incentive compatibility constraint, which rules out moral hazard. Moreover, the reinsurance premium is calculated based on the mean-RVaR premium principle, which generalizes the expected value premium principle and the mean-CVaR premium principle and reflects the different risk preferences of reinsurers. Based on the dynamic programming approach, we obtain the value function and optimal reinsurance policies (the dual excess-of-loss reinsurance). Finally, we show a numerical example to illustrate the effects of premium and ambiguity averse on the discounted ruin probability and the robust optimal contract.
Evaluation of the association between osteoporosis and periodontitis in postmenopausal women: A clinical and radiographic study

Background: This study aimed to assess the relationship between the osteoporotic condition and periodontitis in postmenopausal women. Materials and Methods: Ninety-four women aged 50–80 years were studied in this cross-sectional study. Bone mineral density (BMD) of lumbar vertebra BMD (LBMD), total hip BMD (HBMD), and neck of femur BMD (NBMD) was assessed using standardized dual-energy X-ray absorptiometry (DXA) (normal: T-score ≥−1, osteopenic: −2.5 ≤ t-score <−1, osteoporotic: T-score <−2.5). Bleeding point index (BI), O’Leary plaque index (PI), and clinical attachment loss (CAL) were recorded. Cementoenamel junction, alveolar-crest distance (CEJ-AC) was measured from cone-beam computed tomography images. Periodontitis severity was represented by CAL and CEJ-AC distance. One-way analysis of variance followed by Post hoc Tukey was performed for examining differences among the groups for different variables. Pearson correlation coefficient® and backward regression analysis were used to investigate the effect of confounding variables on CEJ-AC as the dependent variable. Significance was considered at P < 0.05. Results: Mean CEJ-AC was significantly higher in the osteoporotic and osteopenic groups compared to the normal group (P = 0.001). There was a significant positive correlation between CEJ-AC and NBMD and LBMD (P < 0.001). The associations between LBMD and CEJ-AC existed even after adjusting for confounding factors (P = 0.002). The differences in BI, PI, and CAL were not statistically different between the groups (P > 0.05). Conclusion: Although osteoporosis is not the main cause of periodontitis, it can indirectly affect periodontal status by increasing CEJ-AC. Early diagnosis of osteoporosis followed by early referral to a dentist for the treatment of potential existing periodontal diseases is important to avoid complications among postmenopausal women