Types Of Segments Research Articles

(Semi-)automatic Extraction of Urban Planning Rules in French for Better Management of Land Artificialization

Land artificialization is a significant modern concern, as it is irreversible, diminishes agriculturally suitable land and causes environmental problems. Our project, Hérelles, aims to address this challenge by developing a framework for land artificialization management. In this framework, we associate urban planning rules in text form with clusters extracted from time series of satellite images. To achieve this, it is crucial to understand the planning rules with two key objectives: (1) to verify if the constraints derived from the rules are verifiable on satellite images and (2) to use these constraints to guide the labelling (or semantization) of clusters. The first step in this process involves the automatic extraction of rules from urban planning documents written in the French language. To solve this problem, we propose a method based on the multilabel classification of textual segments and their subsequent summarization. This method includes a special format for representing segments, in which each segment has a title and a subtitle. We then propose a cascade approach to address the hierarchy of class labels. Additionally, we develop several text augmentation techniques for French texts that can improve prediction results. Finally, we reformulate classified segments into concise text portions containing necessary elements for expert rule construction. We adapt an approach based on Meaning Representation (AMR) graphs to generate these portions in the French language and conduct a comparative analysis with ChatGPT. We experimentally demonstrate that the resulting framework correctly classifies each type of segment with more than 90% accuracy. Furthermore, our results indicate that ChatGPT outperforms the AMR-based approach, leading to a discussion of the advantages and limitations of both methods.

Correlation Between Facet Tropism and Ossification of the Posterior Longitudinal Ligament in the Cervical Spine.

Retrospective cohort study. To explore the correlation between Facet Tropism (FT) and OPLL in cervical spine. One-hundred patients with OPLL of cervical spine and one-hundred normal participants without OPLL or cervical disc herniation were included in this study, the patients were matched to the normal participants respectively based on the same sex and similar age (±5). For patients, the cervical levels with and without OPLL were categorized into "OPLL group" and "patient control group," respectively. Bilateral facet joint angles at C2/3-C6/7 were measured on sagittal, coronal, and axial planes on CT. On every planes at the level of C2/3-C6/7,the mean difference between left and right facet angles and FT incidence in the most levels of the OPLL group were significantly greater than those in the control groups (P < 0.001). At the most cervical levels, there was no significant difference in mean difference of facet angles and FT incidence between the 2 control groups. On the axial plane, the incidence of FT in segmental type OPLL patients was significantly higher than that in continuous type OPLL patients (P = 0.036). On the coronal plane, the incidence of FT in segmental type OPLL was significantly higher than that in the other OPLL types (P < 0.001), and local type OPLL had a higher incidence of FT compared to mixed type OPLL (P = 0.016). On the sagittal plane, the incidence of FT in segmental type OPLL was higher than that in continuous type OPLL (P = 0.019) and mixed type OPLL (P = 0.036). There is a significant correlation between OPLL of cervical spine and FT. There are significant differences in the incidence of FT among different cervical OPLL types.

Siccanin-related drimane meroterpenoids: biological activities and synthesis.

Covering: 1962 to 2023Drimane (hydro)quinones biosynthetically arise from the combination of drimane-type terpenoids with phenols or equivalents. Since the isolation of siccanin in 1962 (structure identified in 1967), over 200 natural drimane (hydro)quinones have been reported. They are widespread with remarkably diverse architectures and biological functions, which are achieved by varying either the drimane subunit, hydroquinone segment, or the fusion types of drimane and hydroquinone segment both of them. This type of natural products has drawn increasing attention in the discovery of novel pharmaceutical leads. Enormous efforts have been devoted to developing efficient and divergent synthesis approaches to facilitate the SAR study of drimane (hydro)quinones, aiming for more promising functional leads. This review is arranged mainly in terms of scaffold types of drimane (hydro)quinones and further categorized on the basis of biological functions. The mechanisms of action are also briefly discussed. Synthetic methods are categorized according to the strategies forging the Csp2-Csp3 linker between drimane segments and (hydro)quinone subunits.

Integrating Business Ecosystems and Social Networks: A Case Study on Sustainable Transitions

This paper critically reviews the convergence between Business Ecosystem Theory and Social Network Theory in sustainability studies. While both frameworks view organizations as part of larger, interconnected systems, they can be differentiated by six key dimensions: unit of analysis, focus, decomposability, types of relationships, market segment, and worldview. To better reflect real-world phenomena, this paper argues for a new stream of theoretical convergence that is practical, reliable, generalizable, and reproducible. Specifically, it proposes shifting from interorganizational networks to interfunctional networks, offering a clearer theoretical framework, reducing strategic bias and complexity, enhancing stability over time, and providing a more objective foundation for diversification strategies. This is illustrated through a case study of Tesla Inc., built from secondary data, which serves as an example of the emergence of a new strategic construct named the Business Ecosystem Footprint. This construct could assist managers in understanding where their organization stands within the network of functions, guiding them in making informed decisions about resource allocation and diversification aimed at supporting financial goals as well as sustainability and decarbonization objectives. The article concludes by suggesting potential research agendas, such as automating ecosystem mapping, exploring constraints of the new construct, and testing hypotheses related to firm performance.

The pattern of the distribution of incompetent segments within the great saphenous vein at C2 lower extremity: A report conforming to the 2024 IAC standards and guidelines.

To analyze the distribution of incompetent segments in the great saphenous vein (GSV) in Clinical, Etiological, Anatomical, Pathophysiological (CEAP) classification C2 limbs to provide a reference for appropriate diagnosis and treatment planning. We analyzed the distributions of incompetent segments in the GSVs of the C2 lower extremity undergoing duplex ultrasound from September 2017 to December 2023. The examined segments were the saphenofemoral junction (SFJ), GSV at the proximal thigh, GSV at the knee, and GSV below the knee. A total of 696 lower limbs from 540 patients (male 256, female 440) was analyzed. The mean age was 56 (ranging from 18 to 86), and the mean body mass index (BMI) was 24.0kg/m2. There were 15 types of distribution of incompetent segments within the GSV, with the most common type (32.6%) being reflux from the SFJ to the GSV below the knee. Among the lower limbs with reflux at the SFJ, GSV at the proximal thigh or knee was competent in 10% of lower limbs. In the lower limbs with reflux at the proximal thigh GSV, 26% did not have reflux at the SFJ. The presence of reflux in each segment did not differ by sex, but those with reflux in the below-knee segment were older than those without reflux(p = .003). In each of the three segments above the knee, limbs with reflux had a higher BMI than those without reflux. The most common distribution type was reflux from the SFJ to the below-knee segment, although this only accounted for about one-third of the cases. Various distribution types of incompetent segments within the GSV were identified, suggesting that reflux testing in multiple segments according to the latest guidelines for ultrasound examination of the lower extremity veins is necessary to avoid unnecessary treatment of segments without reflux.

Speed of urban public transport as criterion of the justification of spatial and time-based prioritization

Prioritization of urban public transport is an urgent task in the urban transport system, which is congested with traffic in most cities. The constant growth in traffic volumes and the need for movement of urban residents poses many challenges for local governments, which are quite difficult to solve, especially in cities with formed built-up areas. Travel time constantly increases while the road network's capacity remains unchanged. In these circumstances, it is necessary to resort to various prioritization methods because it is impossible to satisfy all the needs of residents for travel by private car to any transport area of the city. Over the past decade, the share of people using micromobility vehicles (bicycles, electric scooters, etc.) has been increasing. Still, this method of transportation is not widespread and cannot provide large volumes of movement in cities, especially those with large sizes. For this reason, more and more attention is being paid to prioritizing urban public transport, which is capable of moving large numbers of people around the city and surrounding areas. Given that it is difficult to find additional capacity reserves, space and time have to be taken away from those users of the transport network who use private automobile transport to ensure priority for urban public transport. The traffic volumes, traffic flow composition, and average speed of urban public transport on sections of the road network were determined by research results. It became the initial data for simulation modeling of the state of traffic flow under different methods of prioritization of urban public transport. Simulation modeling has identified sections of the road network that differ in delay in the movement of urban public transport and general traffic flow depending on the application of spatial and/or time-based prioritization. As a result, using the example of the road network of Lviv city, where urban public transport routes are designed, six types of segments were identified, which differ in the peculiarities of traffic flow and planning characteristics. The study results make it possible to justify implementing various organizational and regulatory measures to manage the general traffic flow and urban public transport without changing the geometric parameters of the road network within the existing “red lines” defined by the General Development Plan. Unlike the existing regulatory requirements, in practice, it is possible to identify sections of the road network that require different types of prioritization of urban public transport, depending on its volumes, regularity of movement, volume of passenger flow, etc. Notably, these studies recommended measures that could reduce travel time based not on the number of vehicles but on the number of people inside them.

How different levels of semantic segmentation affect human perception of driving scenes

As automated vehicles continue to advance, teleoperation has emerged as a critical support system for navigating complex and unpredictable environments that exceed the vehicles' current autonomous capabilities. A main issue in the implementation of teleoperation is latency caused by the high bandwidth required to transmit the video feed from the vehicle to the remote teleoperation station. A possible approach for addressing the latency problem is the transfer of lower-resolution or compressed videos between the vehicle and the teleoperation station. When applying semantic segmentation on the video feed, many pixels are mapped to a limited set of possible colors according to the types of objects that they represent. This concept has been commonly used in autonomous driving algorithms and has the potential to enable the transferring of smaller-sized videos thus reducing bandwidth. In this study, we examine how presenting semantically segmented driving scenes to humans affects their perception of the scene, and specifically, how it affects their hazard perception and situation awareness. We conducted two user studies comparing the effects of using different levels and types of semantic segmentation. Our results indicate that viewing partly segmented scenes, such that only a selected set of object types are colored, commonly achieves the same effect, and sometimes even outperforms a realistic view. Our study and its insights may pave the way for future research, development, and design of teleoperation systems of automated vehicles.

Accuracy and Value of Time-resolved MRA for Spinal Vascular Malformations.

Retrospective. To explore the value of time-resolved CE-MRA in evaluating and locating the SVM prior to digital subtraction angiography (DSA). Spinal vascular malformations (SVM) can be detected with time-resolved contrast-enhanced MRA(CE-MRA). 178 patients with suspected SVM who underwent time-resolved CE-MRA examination and DSA were included in this study. DSA served as the reference standard. The type of SVM, feeding arteries, fistula/nidus, and proximal segment of draining veins were evaluated on time-resolved CE-MRA. The diagnostic performance and classification performance of time-resolved CE-MRA in the diagnosis of SVM is summarized in terms of overall accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV). The difference of catheterized vessels during spinal vascular DSA between actual and estimated number was also analyzed. 147 patients were diagnosed with SVM (20 cervical, 118 thoracolumbar, and 9 deep lumbosacral) and 31 patients were diagnosed with non-SVM according to DSA findings. The diagnostic sensitivity, specificity, PPV, NPV, and accuracy of time-resolved CE-MRA for subtype of SVM were 0.961, 0.961, 0.993, 0.806 and 0.961, respectively. The overall accuracy of time-resolved CE-MRA for the diagnosis of SVM was 0.821, and was 0.783, 0.793, and 0.778 for cervical, thoracolumbar, and deep lumbosacral SVM, respectively. The actual number of catheterized vessels during spinal vascular DSA with time-resolved CE-MRA as the reference was lower than the estimated number of catheterized vessels in both SVM and non-SVM patients (P<0.001). Time-resolved CE-MRA could accurately evaluate SVM and reduce the number of catheterized vessels during spinal vascular DSA.

Search Steering in Two-Sided Platforms

Many two-sided platforms are known to steer customers toward certain products based on their willingness to pay. In this article, we study platforms’ incentives to adopt this type of market segmentation and present conditions under which this can generate distortions that negatively impact the surplus from buyers and sellers. In our environment, a monopolistic platform matches sellers with buyers. Upon being matched, each pair of buyer and seller negotiates prices. If they choose to transact, the platform receives a commission fee proportional to the value of the transaction plus a flat fee per transaction. The platform is assumed to have full information about customers’ and sellers’ outside options. We show that, as long as the market is in excess supply or as long as there is a crossing between the demand and supply curves , the platform’s optimal matching is suboptimal from the perspective of buyers and sellers.

Distribution and neurochemical characterisation of neurons containing neuregulin 1 in the enteric nervous system within the porcine small intestine.

The enteric nervous system (ENS) in the wall of the gastrointestinal tract is complex and comprises many neurons, which are differentiated in terms of structure, function and neurochemistry. Neuregulin 1 (NRG 1) is one of the neuronal factors synthesised in the ENS about the distribution and functions of which relatively little is known. The present study is the first description of the distribution of NRG 1 in the ENS in various segments of the porcine small intestine. Fragments were excised from the duodenum, jejunum and ileum of five euthanised Piétrain × Duroc sows, 18-20 kg in weight and eight weeks of age. Paraformaldehyde-fixed and dehydrated tissue was sectioned and double-labelling immunofluorescence was performed using Alexa Fluor-conjugated secondary antibodies to visualise neuregulin 1 and its colocalisation with vasoactive intestinal polypeptide (VIP), galanin (GAL), and the neuronal isoform of nitric oxide synthase (nNOS) in the myenteric and inner and outer submucosal plexuses, with PGP 9.5 serving as a pan-neuronal marker. Neuregulin 1 was observed in all enteric plexuses in each segment of the small intestine. The percentage of NRG 1-positive neurons ranged from 8.38 ± 0.55% of all neurons in the jejunal inner submucous plexus to 21.52 ± 0.98% in the duodenal myenteric plexus. Cells which were NRG 1-positive also contained VIP, GAL and nNOS in all segments of the small intestine to a degree which varied by small intestine segment and enteric plexus type. The results indicate that NRG 1-positive neurons are present in the ENS of the porcine small intestine and differ significantly neurochemically, which may suggest a multifaceted role for NRG-1 in the controlling of the small intestine activity.

Modeling and Estimating the Effect of a Mix of Varying Levels of Automated Vehicles on Operational Performance of Urban Freeways

Automated vehicles (AVs) will likely influence various aspects of the existing transportation system in the next few decades. Existing literature documents the operational benefits of AVs at different penetration rates. However, estimating the effect of the mix of different levels of AVs on the operational performance of traffic flow has not been explored in the past. This study employs a microsimulation approach to model and estimate the potential effect of varying levels of AVs on the operational performance of freeways. The proposed approach involves a two-step process for calibrating the simulation model. In the first step, the model is calibrated from an operational perspective. In the second step, the calibration is performed from a safety perspective. Thirteen scenarios were generated considering varying penetration rates of different levels of AVs. Congestion index (CI), buffer time (BT), travel time uncertainty (TTU), and delay were computed for each scenario and segment type. The estimations indicate that increasing the penetration of level 3 to level 5 AVs significantly reduces CI, BT, TTU, and delay. In contrast, the effect of level 1 and 2 AVs on freeway operational performance is negligible. Notably, the operational benefits are more pronounced with higher penetration of level 3 and higher AVs. Additionally, the reduction in delay is greater on interchange segments compared with basic freeway segments. The study findings are valuable insights concerning the operational performance of freeways under varying penetration of different levels of AVs, assisting practitioners in formulating AVs-inclusive policies.

Predictors of breast cancer HER2-receptor positivity by MRI intuitive imaging features

BackgroundToday, breast cancer is the most diagnosed cancer worldwide. There are many different clinical presentations, radiological characteristics, and histological types of breast cancer. HER2 is overexpressed in a significant number of breast cancer cases reaching 20% of all breast cancers, and its overexpression is seen directly proportionate with a poor outcome and prognosis.MethodsWe started this cross-sectional research from January 2022–December 2023 on 202 breast cancer patients who had 220 lesions. The molecular subtypes of the different lesions were determined in all the included cases. Magnetic resonance imaging (MRI) studies were conducted in all included cases. The MRI parameters included conventional MRI, diffusion-weighted analysis, and dynamic post-contrast T1-weighted imaging.ResultsThe prevalence of irregular margins (P < 0.001), linear and segmental distribution (P = 0.044), heterogeneous pattern (P < 0.001), and type 2 curve was statistically significantly higher in the HER2-positive lesions. Nipple infiltration incidence showed statistically significant elevation in the HER2-positive lesions (P = 0.017). The lesions’ ADC and perilesional ADC in the HER2-positive lesions were also statistically significantly elevated. The best cutoff point of ADC to detect lesions with positive HER2 expression was > 0.885 × 10–3 mm2/s, with 65.7% sensitivity and 60% specificity, with a statistically significant value (p = 0.005).ConclusionsMagnetic resonance imaging of breast imaging is a promising noninvasive method for identifying breast tumors with the HER2 molecular subtype. Combining various radiological features by MRI may provide a conclusion for recognizing positive HER2 lesions.

Widening the price gap: the effect of the Netherlands' 2020 tax increase on tobacco prices.

The public health impact of a tobacco tax increase depends on the extent to which the industry passes the increase onto consumers, also known as tax-pass through. In 2020, the Netherlands announced tax increases aimed to increase the retail price by €1 per 20 factory-made cigarettes and €2.50 per 50 grams of roll-your-own tobacco. This study examines the pass-through rate after the tax increase, and whether this differed by type of tobacco and brand segment. Self-reported prices of 117 tobacco brand varieties (cigarettes=72, roll-your-own=45) pre- and post-tax increase were extracted from the 2020 International Tobacco Control (ITC) Netherlands Surveys (n=2959 respondents). We calculated the tax pass-through rate per variant, examining differences between type of tobacco and brand segments. On average, cigarette prices increased by €1.12 (SD=0.49) (112% of €1) and roll-your-own prices by €2.53 (SD=0.60) (101% of €2.50). Evidence of differential shifting across segments was found, with evidence of overshifting in non-discount varieties. The average price of discount varieties increased with €0.20 less than non-discount varieties. Similarly, the net-of-tax price decreased in discount varieties (cigarettes=-€0.02; roll-your-own=-€0.05), but increased in non-discount varieties (cigarettes= +€0.14; roll-your-own= +€0.20). Despite the large tax increase, the industry increased prices in line or above the required level. Through differential shifting, the price gap between discount and non-discount varieties has widened, which may reduce the public health impact of the tax increase. Measures aimed at reducing price variability should be strengthened in taxation policy, such as the European Tobacco Tax Directive. We found that the industry used differential shifting after a significant tobacco tax increase in the Netherlands. Prices increased more than required in higher-priced products, but not in lower-priced products. This pattern was found both for factory-made cigarettes and roll-your-own tobacco. Through differential shifting, the industry undermines the potential public health impact of tobacco tax increases, by offering a relatively cheaper alternative, which discourages people to quit or reduce consumption. The revision of the European Tobacco Tax Directive (TTD) provides an opportunity to address the widening price gap - both between and within product segments - across the European Union.

Acoustic evidence for consonant cluster organization across contexts

C-center organization, in which onset consonant clusters exhibit temporal coordination similar to singletons, is an important theme in speech research. As an alternative to expensive and difficult articulatory research methods, Durvasula et al. (2021) developed a technique for identifying C-center timing using acoustic data alone. We replicate the English results of that study and investigate additional contexts. Following Durvasula et al. (2021), we noted the acoustic midpoints of onset consonants, took the average of these midpoints as “acoustic C-center,” and used the acoustic end of the vowel as an anchor. If C-center coordination were present, C-center-to-anchor intervals should, as compared to singleton onset-to-anchor intervals, be similar in magnitude but more stable. We recorded 18 English speakers producing /s/+nasal, stop+liquid, and /s/+stop+liquid clusters along with segmentally matched non-clusters (e.g., splay, play, lay). Diagnostics indicated C-center-like-timing in initial clusters across segment types, as well as in tautosyllabic medial clusters; the evidence of C-center timing was not found where clusters were split across a syllable boundary. These results are consistent with established models of syllable structure and support the use of acoustic diagnostics for gestural coordination.

Practical three-dimensional path following and control for unmanned combat aerial vehicles based on expansion of L1+ guidance logic and disturbance rejection

An effective virtual-target-based three-dimensional path-following algorithm is proposed for unmanned combat aerial vehicles, which extends from the planar [Formula: see text] guidance. The separated implementation of the planar guidance law in two perpendicular planes provides the longitudinally-laterally decoupled acceleration commands. In order to obtain a non-unique virtual-target-point, a numerical iterative method using auxiliary path-related variables is proposed. Moreover, two protection improvements are discussed for real-word implementation: one involves the modification of adaptive [Formula: see text] length for vehicle position far away from the desired path; the other involves a switching strategy for multi-segment paths. The improved algorithm eliminates complex coordinate transformation and easily connects different types of path segments. For the control loop, technology enhanced with the active disturbance rejection control was used to facilitate the design of a bank-to-turn autopilot. For the pitch and roll channels, a rate-damping augmentation loop was used first to transform the original system into a generalized plant. Then the second-order active disturbance rejection control was structured to estimate the total disturbance, including time-varying dynamics, model mismatch, and coupling of channels, making the system an ideal integral-series type. The non-smooth optimization technique in the H-infinity methodology was used to facilitate tuning of the fixed-structure active disturbance rejection control.

Mechanical Performances of Concrete-Filled Steel Pipe Composite Segments in Complex Geological Conditions

When shield tunnels are under complex geological conditions, tunnel damage, decreased structural performance, and shield tunnel deformation and destruction may occur. Therefore, a new type of composite segment and combined splicing joint were suggested and experimentally investigated in this study. According to the test results, the new composite segment effectively enhanced the load capacity of the segment, and the yield and ultimate loads of the segment were increased. Compared with the reference specimen, the ultimate load capacities of the proposed segments with different numbers were 23.8%, 50.0%, and 64.3% greater. Moreover, the combined splicing joint enhanced the initial bending stiffness and load capacity of the segment joint, reduced the opening displacement, and improved the rotational stiffness of the segment joint. The addition of a plug-in joint at the segment joint increased its load capacity by approximately 25%. A parametric study showed that the number and posit ion of the plug-in joint clearly affected the load capacity of the segment joint. In addition to the above test results, reasonable theoretical formulas for the new composite segment and combined splicing joint are given in this paper.

WaterSAM: Adapting SAM for Underwater Object Segmentation

Object segmentation, a key type of image segmentation, focuses on detecting and delineating individual objects within an image, essential for applications like robotic vision and augmented reality. Despite advancements in deep learning improving object segmentation, underwater object segmentation remains challenging due to unique underwater complexities such as turbulence diffusion, light absorption, noise, low contrast, uneven illumination, and intricate backgrounds. The scarcity of underwater datasets further complicates these challenges. The Segment Anything Model (SAM) has shown potential in addressing these issues, but its adaptation for underwater environments, AquaSAM, requires fine-tuning all parameters, demanding more labeled data and high computational costs. In this paper, we propose WaterSAM, an adapted model for underwater object segmentation. Inspired by Low-Rank Adaptation (LoRA), WaterSAM incorporates trainable rank decomposition matrices into the Transformer’s layers, specifically enhancing the image encoder. This approach significantly reduces the number of trainable parameters to 6.7% of SAM’s parameters, lowering computational costs. We validated WaterSAM on three underwater image datasets: COD10K, SUIM, and UIIS. Results demonstrate that WaterSAM significantly outperforms pre-trained SAM in underwater segmentation tasks, contributing to advancements in marine biology, underwater archaeology, and environmental monitoring.

An Overview of Pharmaceutical Applications and In vitro Micropropagation Techniques for Rare and Endangered Plant Species

Many rare and endangered plant species possess valuable secondary metabolites with pharmacological applications. These bioactive compounds are often integral to traditional medicine systems, highlighting the cultural significance of these plants. The health benefits of many medicinal species are not fully validated by contemporary scientific research, and some may be facing extinction due to habitat loss, overharvesting or climate change. This situation highlights the urgent need for effective conservation strategies of the species and sustainable cultivation methods. Micropropagation is a valuable technique for producing large numbers of plants from a single explant, significantly aiding in the conservation and commercial cultivation of rare species. Among the various types of explants, shoot tips and nodal segments have been identified as the most effective explants for micropropagation. These explants can be induced to generate multiple shoots in Murashige and Skoog (MS) medium containing Benzyl aminopurine (BAP). Thidiazuron (TDZ), Kinetin (KIN), or 2,4-Dichlorophenoxyacetic acid (2,4-D) are commonly used in MS medium to promote shoot and root development in both direct and indirect organogenesis processes. Rooting of the plantlets was typically achieved using MS medium either supplemented with Indole-3-butyric acid (IBA) or devoid of auxins, depending on the species and the specific requirements for rooting.

Consonant and vowel production in children with cochlear implants: acoustic measures and multiple factor analysis

IntroductionThe acoustic limitations of cochlear implants (CIs) can lead to perceptual limitations and consequently to imprecise phonological representations and production difficulties. The aim of the study is to document the phonological and phonetic skills of children with CIs and their typically hearing peers. Phonetically, three types of segments were targeted, each characterized by contrasting acoustic information: nasal/oral vowels, fricative segments, and voiced/voiceless stops.MethodsForty-seven typically hearing children (TH) and 23 children with CIs performed a picture-naming task. Productions were analyzed to obtain phonological measures (percentages of correct phonemes, types of errors), and various acoustic measures were collected to characterize the productions on the three types of segments investigated. Multiple factor analyses were conducted to study productive profiles on the various acoustic measures, and the dimensions were correlated with phonological measures.ResultsThe results showed lower performance in lexical (target word retrieval) and phonological (percentages of correct phonemes) skills among children with CIs (CI group), although with better performances among children exposed to CS. Acoustically, children in the CI group exhibited productions significantly different from those of the TH group in terms of the distinction of fricative consonants, marking nasalization through nasal resonance cues, and in the production of voiceless stops. However, the CI group demonstrated compensatory strategies (lengthening of VOT for voiced stops, marking of nasalization through oropharyngeal configuration cues).ConclusionsThe results indicate that children with CIs are at risk of experiencing difficulties in both phonetic and phonological domains. However, there are opportunities for compensation through the exploitation of acoustic cues better coded by the CI and/or through perceptual means (utilization of visual cues).

Scenario Writing For The Video Program Timmy’s Days (Sitcom) on IDN Media

IDN Media as a consumer technology company operates five main business pillars, one of which is entertainment. IDN Media requires audience involvement by presenting comedy genre entertainment programs. Sitcom programs as a means of entertainment build each episode of their broadcast from narration, gestures, dialogue, punch lines, and editing effects which are elements of humor. This requires an important role from a script writer, namely creating a creative script in screenwriting so that it becomes an interesting story show and makes it easier for the audience to understand the content of the story.Writing the scenario for Timmy's Days went through three stages, including pre-production, production and post-production. The pre-production stage includes finding ideas, determining the theme, type of story, audience segmentation, setting and plot. The production stage includes characters, synopsis, treatment, scenario. The post-production stage at this stage puts more emphasis on editing the writing and details of the scenes in the story adding detailed information which is usually called beat or parenthetical which contains expressions, gestures and reactions of the characters. This can simplify the process of embodying and character scenes in shooting.