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Smart logistics (SL) reflects the digital transformation of the logistics industry, which is key for economic development. Most evaluations are based on the application of technology in SL, and few studies have evaluated SL from a comprehensive perspective. The paper builds the SL development index (SLDI) model from five dimensions based on the driving force, pressure, state, impact, and response (DPSIR) model and identifies the indicator weight by the entropy weight technique. The paper employs the ETDK method, a combined quantitative approach that incorporates entropy weight (E), the technique for order preference by similarity to an ideal solution (TOPSIS) (T), the Dagum Gini coefficient (D), and Kernel density estimation (K), to calculate the closeness degree, analyze spatial-temporal differentiation, and explain the distribution characteristics using data from China spanning 2013 to 2021. The findings show that (1) The SL evaluation is multidimensional and cannot be evaluated only based on technical indicators. A comprehensive evaluation indicator system is necessary. (2) A combined quantitative approach can measure SL development from multiple perspectives and get a clearer picture of the characteristics and regional differences of SL. (3) Influenced by economic development, infrastructure, regional clusters, location, talent, etc., the overall SL development is improving yearly, but SL development in different regions is unbalanced and has different distribution characteristics. The SLDI model developed in this paper will provide a more scientific and reasonable tool for comprehensively evaluating SL. The findings are helpful in proposing suggestions and optimization approaches for subsequent research on SL evaluation and development. [ABSTRACT FROM AUTHOR]

Copyright of Zhejiang Electric Power is the property of Zhejiang Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The integration of high proportions of renewable energy into power systems has led to an increasing demand for flexible resources， highlighting the importance of flexible resources on demand side. Current research on demand-side response primarily focuses on peak load and lacks quantitative analysis on how demand-side response resources can enhance renewable energy consumption. To address this gap， this paper first develops a regulation model for various flexible single resources on demand side. Subsequently， it analyzes the regulation characteristics of single flexible resources and establishes an aggregation regulation model for a large number of these resources. The paper then constructs a quantitative analysis model of renewable energy consumption promoted by demand-side response based on time-series production simulation. Finally， it conducts a simulation study using a provincial power grid as a case study to analyze the impact of various types of demand-side response on improving renewable energy consumption. The results show that both shiftable load （SL） and transferable load （TL） can help enhance renewable energy consumption.

Background: Widening of the scapholunate (SL) interval greater than 2 mm is diagnostic of an injury in adults; however, this absolute number cannot be used for skeletally immature individuals due to the ossification of the carpal bones. The purpose of this study was to determine age-appropriate normative values for the radiographic SL interval in the skeletally immature population. Methods: Normal pediatric wrist radiographs were identified. The radiographic SL interval was measured as the distance between the scaphoid and the lunate at the mid-joint space between the scaphoid and the lunate, and the SL and capitolunate angles were measured on lateral views. An initial inter-rater reliability assessment was completed with strong inter-rater reliability. Results: In all, 529 radiographic series of children (276 male), aged 4 to 17 years, were reviewed. A negative linear correlation between chronological age and distance at the mid-joint space was observed. The average values for the radiographic SL interval ranged from 9.07 to 1.57 mm. The average SL and capitolunate angles were 52.0° and 10.6°, respectively. No linear relationship was found between chronological age and SL or capitolunate angle (R = 0.07 and 0.03, respectively). Conclusions: The visible radiographic distance between the scaphoid and the lunate decreases with increasing age as the carpal bones ossify. The normative values defined in this study can be used to determine whether a true widening of the SL interval is present in the pediatric population. No linear relationship exists between chronological age and SL or capitolunate angle. [ABSTRACT FROM AUTHOR]

AbstractCotton diseases are disastrous for quality and sustainable production of the yield. Cotton leaf curl virus (CLCuV) is one of the most damaging diseases for cotton crops. Symptoms-based CLCuV identification is tedious, time consuming, error prone and needs exceptional expertise. Sensor-based machine vision approaches have great potential to detect the CLCuV at early stages. This research study proposes a machine vision-based multimodal fusion framework to diagnose various CLCuV severity levels. Our designed model is based on three contrasting datasets: digital photographic, multispectral and fused datasets. A digital camera was used to acquire the digital photographic dataset, the multispectral dataset was obtained by a multispectral radiometer-5 (MSR5), and the two datasets were fused to formulate the third one. From the digital photographic dataset, 269 texture features were extracted and optimized to the most discriminant 30 texture features, the multispectral dataset consisted of 5 spectral features, and the fused dataset was formed by combining the two. The 30 most discriminant features from the digital photographic dataset were selected by incorporating fisher co-efficient, probability of error plus average correlation and mutual information (MI). To diagnose CLCuV, four machine-learning classifiers, namely simple logistics (SL), multilayer perceptron (MLP), sequential minimal optimization (SMO), and random forest (RF), were deployed separately on each dataset. The maximum CLCuV diagnosing accuracies attained from digital photographic, multispectral, and fused datasets were 81.263%, 91.177%, and 96.313%, respectively.

Hand gesture-based Sign Language Recognition (SLR) serves as a crucial communication bridge between hard of hearing and non-deaf individuals. The absence of a universal sign language (SL) leads to diverse nationalities having various cultural SLs, such as Korean, American, and Japanese sign language. Existing SLR systems perform well for their cultural SL but may struggle with other or multi-cultural sign languages (McSL). To address these challenges, this paper introduces a novel end-to-end SLR system called GmTC, designed to translate McSL into equivalent text for enhanced understanding. Here, we employed a Graph and General deep-learning network as two stream modules to extract effective features. In the first stream, produce a graph-based feature by taking advantage of the superpixel values and the graph convolutional network (GCN), aiming to extract distance-based complex relationship features among the superpixel. In the second stream, we extracted long-range and short-range dependency features using attention-based contextual information that passes through multi-stage, multi-head self-attention (MHSA), and CNN modules. Combining these features generates final features that feed into the classification module. Extensive experiments with five culture SL datasets with high-performance accuracy compared to existing state-of-the-art models in individual domains affirming superiority and generalizability.

Smart logistics (SL) reflects the digital transformation of the logistics industry, which is key for economic development. Most evaluations are based on the application of technology in SL, and few studies have evaluated SL from a comprehensive perspective. The paper builds the SL development index (SLDI) model from five dimensions based on the driving force, pressure, state, impact, and response (DPSIR) model and identifies the indicator weight by the entropy weight technique. The paper employs the ETDK method, a combined quantitative approach that incorporates entropy weight (E), the technique for order preference by similarity to an ideal solution (TOPSIS) (T), the Dagum Gini coefficient (D), and Kernel density estimation (K), to calculate the closeness degree, analyze spatial-temporal differentiation, and explain the distribution characteristics using data from China spanning 2013 to 2021. The findings show that (1) The SL evaluation is multidimensional and cannot be evaluated only based on technical indicators. A comprehensive evaluation indicator system is necessary. (2) A combined quantitative approach can measure SL development from multiple perspectives and get a clearer picture of the characteristics and regional differences of SL. (3) Influenced by economic development, infrastructure, regional clusters, location, talent, etc., the overall SL development is improving yearly, but SL development in different regions is unbalanced and has different distribution characteristics. The SLDI model developed in this paper will provide a more scientific and reasonable tool for comprehensively evaluating SL. The findings are helpful in proposing suggestions and optimization approaches for subsequent research on SL evaluation and development.

Structured lipids (SLs) offer a promising avenue for designing novel formulations enriched in n-3 long-chain polyunsaturated fatty acids (LCPUFAs) with potential health benefits. Triacylglycerols (TAGs), the most common fats in the human diet, are both non-toxic and chemically stable. The metabolic efficiency and digestibility of TAGs are significantly influenced by the position of fatty acids (FAs) within the glycerol backbone, with FAs at the sn-2 position being readily absorbed. Over the past two decades, advancements in SL research have led to the development of modified TAGs, achieved either through chemical or enzymatic processes, resulting in SLs. The ideal structure of SLs involves medium-chain FAs at the sn-1,3 positions and long-chain n-3 LCPUFAs at the sn-2 position of the glycerol backbone, conferring specific physicochemical and nutritional attributes. These tailored SL formulations find wide-ranging applications in the food and nutraceutical industries, showing promise for dietary support in promoting health and mitigating various diseases. In particular, SLs can be harnessed as functional oils to augment TAG metabolism, thereby impeding the development of fatty liver, countering the onset of obesity, and preventing atherosclerosis and age-related chronic diseases. In scrutinising prevailing research trajectories, this review endeavours to provide an in-depth analysis of the multifaceted advantages and repercussions associated with the synthesis of SLs. It elucidates their burgeoning potential in enhancing health and well-being across a range of demographic cohorts. Specifically, the implications of SL utilisation are discussed in the context of healthcare environments and early childhood developmental support. [ABSTRACT FROM AUTHOR]

Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validate DMOs estimated using real-world gait data from six different cohorts, focusing on gait sequence detection, foot initial contact detection (ICD), cadence (CAD) and stride length (SL) estimates. Methods: Twenty healthy older adults, 20 people with Parkinson's disease, 20 with multiple sclerosis, 19 with proximal femoral fracture, 17 with chronic obstructive pulmonary disease and 12 with congestive heart failure were monitored for 2.5 h in the real-world, using a single wearable device worn on the lower back. A reference system combining inertial modules with distance sensors and pressure insoles was used for comparison of DMOs from the single wearable device. We assessed and validated three algorithms for gait sequence detection, four for ICD, three for CAD and four for SL by concurrently comparing their performances (e.g., accuracy, specificity, sensitivity, absolute and relative errors). Additionally, the effects of walking bout (WB) speed and duration on algorithm performance were investigated. Results: We identified two cohort-specific top performing algorithms for gait sequence detection and CAD, and a single best for ICD and SL. Best gait sequence detection algorithms showed good performances (sensitivity > 0.73, positive predictive values > 0.75, specificity > 0.95, accuracy > 0.94). ICD and CAD algorithms presented excellent results, with sensitivity > 0.79, positive predictive values > 0.89 and relative errors < 11% for ICD and < 8.5% for CAD. The best identified SL algorithm showed lower performances than other DMOs (absolute error < 0.21 m). Lower performances across all DMOs were found for the cohort with most severe gait impairments (proximal femoral fracture). Algorithms' performances were lower for short walking bouts; slower gait speeds (< 0.5 m/s) resulted in reduced performance of the CAD and SL algorithms. Conclusions: Overall, the identified algorithms enabled a robust estimation of key DMOs. Our findings showed that the choice of algorithm for estimation of gait sequence detection and CAD should be cohort-specific (e.g., slow walkers and with gait impairments). Short walking bout length and slow walking speed worsened algorithms' performances. Trial registration ISRCTN – 12246987. [ABSTRACT FROM AUTHOR]

The sleep loss (SL) are one of the important diseases that endanger the health of aging individuals. This study evaluated SL in aging individuals, and explored the relationship between age and the organic changes that affect brain and sleep. The causes of SL in aging individuals and its harmful effects on them have been outlined. To enable individuals in choosing a suitable way to sleep better, we also reviewed advantages and disadvantages of the existing sleep modulation based on lifestyle habits and drug and physical stimulation. We found the former as more suitable for patients with mild SL, while the latter may fail to achieve the desired effects and may even lead to the onset of new diseases. Therefore, it is proposed to use non-invasive electrical and magnetic stimulations to improve the sleep quality in aging patients.In this review, mechanisms of the two stimulation methods have been summarized. Through analysis, it was found that magnetic stimulation can induce neuronal action potential, which makes patients twitch, and equipment noise causes discomfort in the elderly during treatment. Comparative analysis of stimulation methods revealed that transcranial electrical stimulation (tES) is a considerably safe, convenient, non-invasive, and easy to operate method with few adverse reactions, and it can be considered a potential therapeutic method for SL in aging patients.

Smart Logistics (SL) offers a competitive advantage for e-commerce by utilizing Information and Communication Technologies (ICT) such as IoT, AI, Blockchain, Cloud computing, 5G, etc. This technology automates, optimizes, and enables real-time tracking and monitoring of shipments, predicts, and prevents delays, and optimizes delivery routes and schedules. It also provides greater visibility and control, allowing e-commerce businesses to react quickly and efficiently to changes in demand or supply. The purpose of this study is to investigate the impact of digitalization on trade logistics in e-commerce, emphasizing the significance of smart logistics for the e-commerce industry. We reviewed 288 articles published in the last decade in the Scopus database to assess the maturity of research in this area. For researchers, this study provides a better understanding of smart e-commerce logistics and identifies research gaps in the literature. For e-commerce professionals, it can help them adopt the latest technological trends in their logistics. Through a systematic literature review and network analysis approach, the study has contributed by identifying 5 clusters related to ICT application fields in e-commerce and 5 clusters related to important ICT enablers in smart logistics. We also identified several research gaps and areas for future study, including the underutilization of computer vision technology and the need for further research on product quality inspection and accessibility for people with disabilities. Additionally, we suggest exploring the power of deep learning to solve Vehicle Routing Problems (VRP) and optimizing sensing data volume for minimizing costs associated with data storage and transfer. This study provides a comprehensive overview of the state of the art in smart logistics for e-commerce and serves as a guide for future research in this field.

Efficient removal of antibiotics from the aquatic environment is urgently needed due to their obstinate accumulation and non-biodegradability. In this study, a mesoporous carbon material (ZC-0.5) was successfully synthesized for the adsorption of sulfamethoxazole (SMX), one of the major antibiotics for the treatment of human and animal infections. ZIF-8 as the precursor of ZC-0.5, specifically, using cetyl trimethyl ammonium bromide (CTAB) and sodium laurate (SL) as dual templates and carbonizing at 800 ℃. This novel adsorbent exhibited a high proportion of mesopore (75.64%) and a large specific surface area (1459.73 m2·g−1). The adsorption experiment examined the reusability of ZC-0.5 and that it could retain superior maximum adsorption capacities (167.45 mg∙L−1) after five cycles of adsorption and desorption. The adsorption process satisfied the pseudo-second-order kinetic (PSO) and mixed first- and second-order kinetic (MOE). It also satisfied the Freundlich and Sips isotherm models. Moreover, thermodynamic calculation indicated the adsorption process was spontaneous, endothermal, and entropy-increasing. Furthermore, plausible adsorption mechanisms were explained through van der Waals force, electrostatic interaction, hydrophobic force, π-π interaction, and hydrogen bond. This work offers a new efficient adsorbent for antibiotic elimination. [ABSTRACT FROM AUTHOR]

Additive manufacturing techniques are widely used in the present manufacturing era because of their ability to manufacture intricate products. Fused filament fabrication (FFF) is one of the most commonly adopted additive manufacturing technology, which involves the extrusion of the semi-solid polymer through the nozzle to be deposited in layers to form the part. In FFF, the polymer melt being deposited, forms the bonds with the neighboring pre-deposited melt during the part fabrication. The pre-deposited melt is at the low temperature compared to the polymer melt extruding out of the nozzle; hence the heat transfer occurs due to temperature gradient by the mode of conduction and convection. The commercialization of the FFF technology in a wide range of industrial applications still seems to be constrained due to several drawbacks such as insufficient mechanical properties, poor surface quality, and low dimensional accuracy. The grade of FFF-produced products is affected by various process parameters, for example, layer thickness, build orientation, raster width, or print speed. In FFF, process parameters are optimized to improve the quality of the final printed part. The cost of post-processing is also reduced as a result of parameter optimization. In this study, the influence of the convection coefficient on bond formation was investigated, and a model for predicting bond size in terms of convection coefficient is discussed for a given set of parameters. This work also aims to study the effects of thermal properties on neck formation and the effects of neck formation on strength, surface finish, and dimensional accuracy of the printed parts. In addition, this study reveals the problems and difficulties found in previous works, potential future scope in this area has been analyzed, and new research approaches are suggested. [ABSTRACT FROM AUTHOR]

Structured lipids (SLs) offer a promising avenue for designing novel formulations enriched in n-3 long-chain polyunsaturated fatty acids (LCPUFAs) with potential health benefits. Triacylglycerols (TAGs), the most common fats in the human diet, are both non-toxic and chemically stable. The metabolic efficiency and digestibility of TAGs are significantly influenced by the position of fatty acids (FAs) within the glycerol backbone, with FAs at the sn-2 position being readily absorbed. Over the past two decades, advancements in SL research have led to the development of modified TAGs, achieved either through chemical or enzymatic processes, resulting in SLs. The ideal structure of SLs involves medium-chain FAs at the sn-1,3 positions and long-chain n-3 LCPUFAs at the sn-2 position of the glycerol backbone, conferring specific physicochemical and nutritional attributes. These tailored SL formulations find wide-ranging applications in the food and nutraceutical industries, showing promise for dietary support in promoting health and mitigating various diseases. In particular, SLs can be harnessed as functional oils to augment TAG metabolism, thereby impeding the development of fatty liver, countering the onset of obesity, and preventing atherosclerosis and age-related chronic diseases. In scrutinising prevailing research trajectories, this review endeavours to provide an in-depth analysis of the multifaceted advantages and repercussions associated with the synthesis of SLs. It elucidates their burgeoning potential in enhancing health and well-being across a range of demographic cohorts. Specifically, the implications of SL utilisation are discussed in the context of healthcare environments and early childhood developmental support.

Sign Language (SL) is the most organized and structured type of hand/arm gesture in the communicative hand/arm gesture taxonomies. The ability of machines to comprehend human actions and meanings has numerous uses. SL identification is one area of focus. SL is employed by the deaf and hard-of-hearing communities to communicate. Hearing-impaired persons communicate via visual indicators instead of vocal communication and sound patterns. SL also uses facial expressions and body postures as a medium of communication. Pattern matching, computer vision, natural language processing are the key factors in SL identification. This study reviews state-of-the-art methodologies employed in current SL identification research, comparing the various algorithms at each stage. Discuss the challenges and limitations of gesture identification research in general, as well as SL identification in particular. Overall, this paper gives a thorough introduction to the topic of automated SL identification, paving the way for future research.

Copyright of Guangdong Architecture Civil Engineering is the property of Guangdong Architecture Civil Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The eastern Tell Atlas of Algeria is characterized by a complex neotectonic system including lateral strike-slips, and normal and reverse faults. The landscape of the Neogene basin of Mila-Constantine acquired its shape due to the perpetual action of tectonic activity, and erosion processes. Neo-tectonics in this basin have affected the geometry of the stream network and the contemporary landscape topography. Our methodology evaluates the active tectonics in this mountainous region by a combination of drainage network and geomorphic indices, namely, the basin-shape index (Bs), stream-length gradient (SL), hypsometric integral (HI), mountain front sinuosity (Smf), basin asymmetry factor (AF), and valley-floor ratio (Vf). The calculated values of the six measured geomorphic indices were used to differentiate the distribution of faults function as well as the relative tectonic activity in the study area. The obtained results from the GIS-based multi-criteria analysis of these indices consist of the index of active tectonics (IAT). Hence, we defined four hierarchic degrees of IAT, namely, very high (VH), high (H), moderate (M), and low (L). The relative active tectonics represents an obvious correlation between morpho-structural features, tectonic activities, and uplift rates. It selects the morphotectonic features and landforms that interpret the tectonic events in the study area. Our results prove that this approach discerns the most active regions related to the neo-tectonic action in the Rhumel-Smendou drainage basin. The combination of geomatics and field surveys highlights the cliffs which are still rising by using the drainage patterns, the landform model, and the mountain range shape. [ABSTRACT FROM AUTHOR]

Introduction: A growing body of evidence confirmed the involvement of somatolactin (SL) in various physiological processes including the acid-base as well as calcium regulation, fat metabolism and osmoregulation. However, less is known about the immunoreactivity of SL-producing cells during developmental stages of Nile tilapia, Oreochromis niloticus. Aim of the Work: The aim of the present work was to examine the immunoreactivity of SL-producing cells during different developmental larval stages of Nile tilapia, O. niloticus. Material and Methods: We performed immunohistochemical technique using specific antibody against chum salmon SL to identify the anatomical distribution and change in the activity of SL-producing cells accompanied the different larval stages of Oreochromis niloticus, and study the possible involvement of this hormone in the early endocrine integration. Results: The present immunocytochemical assessments revealed a few and dispersed numbers of SL-positive cells at the first day after hatching. Moreover, we observed a gradual increase in the activity of SL-positive cells in the pituitary gland as reflected with the increased cell number and size as well as SL immunoreactivity concomitant with the continued larval development from the first day post-hatching onwards and reached the highest levels on day 35 post-hatching. In parallel to the advanced development of larvae, the number of SL-positive cells and the intensity of immunoreaction were clearly and gradually increased especially after the onset of exogenous feeding at 21-28 days post-hatching. Consequently, there is an obvious increase in both the larval body length and weight during the experimental period of rearing. Conclusion: The early appearance of SL-producing cells and the gradual changes in their immunoreactivity during development suggest crucial effects of this hormone in different physiological processes during larval rearing of O. niloticus especially in the period after yolk sac resorption. [ABSTRACT FROM AUTHOR]

A two-level modeling strategy is formulated to predict groundwater levels (GWL) within a portion of Lake Urmia's aquifer in NW Iran during 14 years (2001–2015), which both aquifer and lake suffer significant water decline. At Level 1, three artificial intelligence (AI) models were trained and tested, which comprise artificial neural network (ANN), Sugeno fuzzy logic (SFL), and neuro-fuzzy (NF). At Level 2, a novel formulation was employed, referred to as the Shannon entropy model averaging (EMA). This formulation combines the results at Level 1 by calculating the weights of Level 1 models based on an innovative approach, which incorporates performance, stability, and parsimony criteria. The results indicate that the models at Level 1 are fit-for-purpose and can capture the water table decline in GWL, but EMA improves RMSE by 5% in the testing phase. Although EMA does not significantly increase the performance of the models, the results of the homoscedastic test in models' residuals indicate that EMA increases the reliability of prediction owing to the homoscedastic residuals with the highest p value compared to Level 1 models. The p values as per Breusch–Pagan and White tests are 0.88 and 1, respectively, which indicates further information does not remain in the EMA residual. The EMA formulation can be applied to other water resource management problems. [ABSTRACT FROM AUTHOR]

In this study, we introduce a plan about the application of various realities for future educational purposes. To start, we provide an overview for three types of realities [Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR)] and clarify their relationships to each other. Then we classify VR tools into three types and focus on the integrated stand-alone type and prepare a plan for its educational application. Finally, we discuss important factors that could contribute to the examinees' educational outcomes in the future. [ABSTRACT FROM AUTHOR]

The concept of a 3D experience using the Google Cardboard VR headset and cell phones is discussed in terms of its educational effect. As for the video component, content on YouTube as a 360°VR video is used. The following three topics are included in this project: skydiving, lunar exploration, and deep-sea exploration. In some organizations, groups of faculty and student members are asked to participate in such an activity to experience 3D using a cell phone and YouTube along with the VR headset. The authors plan to analyze the results using a 5-point scale. A similar experiment is already in progress. It involves the use of a different VR headset tool (Oculus Quest). Since the contents of both activities are similar, the purpose of this experiment is to compare and verify the advantages and disadvantages of using a VR cardboard headset and a cell phone, as well as to identify the advantages and disadvantages of using a cell phone. [ABSTRACT FROM AUTHOR]

In preparation for the High-Luminosity Large Hadron Collider (HL-LHC), essential upgrades are underway for the ATLAS Level-0 Barrel Muon Trigger system in order to cope with the higher data rates and radiation level. These enhancements involve incorporating a new inner layer of Resistive Plate Chambers detectors (RPCs), and replacing the trigger and readout electronics, using a novel Data Collector and Transmitter (DCT) and new Sector Logic (SL) boards. DCT boards collect and process RPC data, while SL boards execute the trigger algorithm and transmit the muon candidates to the Central Trigger Processor. This paper presents the current status of the Phase-II Muon Barrel Level-0 Trigger system, focusing on the DCT and SL hardware and firmware developments. We detail the design and testing processes. Results from data communication tests and ongoing developments are also discussed. [ABSTRACT FROM AUTHOR]

Sign language (SL) is the most organized and structured type of hand/arm gesture in the communicative hand/arm gesture taxonomies. The ability of machines to comprehend human actions and meanings has numerous uses. SL identification is one area of focus. SL is employed by the deaf and hard-of-hearing communities to communicate. Hearing-impaired persons communicate via visual indicators instead of vocal communication and sound patterns. SL also uses facial expressions and body postures as a medium of communication. Pattern matching, computer vision, natural language processing are the key factors in SL identification. This study reviews state-of-the-art methodologies employed in current SL identification research, comparing the various algorithms at each stage. Discuss the challenges and limitations of gesture identification research in general, as well as SL identification in particular. Overall, this paper gives a thorough introduction to the topic of automated SL identification, paving the way for future research. [ABSTRACT FROM AUTHOR]

Copyright of Plastics Science & Technology / Suliao Ke-Ji is the property of Plastics Science & Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Résumé: La grande majorité des cancers colorectaux (CCR) se développent dans un contexte sporadique. Cependant, on estime qu'environ 35 % des CCR ont une composante familiale et que 2 à 5 % surviennent dans le cadre d'une prédisposition génétique. Parmi cette population à très haut risque de CCR, on distingue deux profils de prédisposition. Les syndromes dits « polyposiques » et ceux dits « non polyposiques », essentiellement représentés par le syndrome de Lynch. La particularité de ces syndromes est de présenter un spectre carcinologique large, touchant à la fois le côlon mais aussi d'autres organes digestifs ou extra-digestifs (endomètre, ovaire...). L'identification et la prise en charge de ces syndromes nécessite une approche multidisciplinaire, dont la pierre angulaire repose sur la consultation d'oncogénétique accessible via l'un des 17 réseaux régionaux ou inter-régionaux du dispositif d'oncogénétique (INCa 2012). Ces réseaux permettent d'organiser et de coordonner le suivi, en élaborant des plans personnalisés de suivi (PPS) propres à chaque syndrome. L'endoscopie digestive y joue un rôle central en permettant d'assurer à la fois un rôle de dépistage et de prévention des cancers. Dans cette mise au point, nous aborderons les dernières recommandations de prise en charge, en détaillant les algorithmes et les critères de qualité syndrome par syndrome. Most of colorectal cancers (CRC) develop in a sporadic context. However, it is estimated that around 35% of CRCs have a familial component and that 2 to 5% occur as part of a genetic predisposition. Among this population, we can distinguish between two phenoptypes: The so-called "polyposis" syndromes and those called "non-polyposis" syndromes, mainly represented by the Lynch syndrome. The particularity of these syndromes is that they present a broad carcinological spectrum, affecting both the colon but also other digestive or extra digestive organs (endometrium, ovary, etc.). The identification and management of these syndromes requires a multidisciplinary approach, the cornerstone of which is based on consultation of oncogenetics accessible via one of the 17 regional or inter-regional networks of the oncogenetics system (INCa 2012). These networks make it possible to organize and coordinate manadgment, by developing specific personalized follow-up plans (PPS). Digestive endoscopy plays a central role in this, ensuring both a cancer screening and prevention role. In this update, we will discuss the latest management recommendations, syndrome by syndrome. [ABSTRACT FROM AUTHOR]

For LTE-V2X system,acquiring the synchronization reference signal (SRS) is indispensable for vehicles to establish service connections in the network.However,there are some vehicles may not obtain the SRS and consequently fail to be synchronized with the network.In order to solve this problem,a sidelink (SL) radio interface synchronization scheme was proposed.Vehicles select an optimal SPS according to SRS priority division mechanism.The SRS are given different priorities,where the priorities of different synchronization sources can be distinguished in a time-shift based SRS transmit mechanism and meanwhile the interference among the SRS of different sources can be effectively suppressed.Simulation results illustrate that even when the synchronization source is assigned a priority of four,the synchronization error can still be satisfied the requirement.Compared with the conventional synchronization schemes,the proposed scheme supports an expanded synchronization range aided by synchronization over the SL and achieves mitigation of SRS interference with the time-shift based SRS transmit mechanism.The proposed scheme can serve as an efficacious and feasible solution for the LTE-V2X system.

Introduction: The discrepancy between what is known from clinical research and what is done in applied clinical practice is called the "science-to-service gap." Teaching students to bridge this gap must be a primary focus of graduate education in applied psychology sub-disciplines. Statement of the Problem: Since science is fluid, an exclusive focus on teaching current empirically supported practices is insufficient. To make a meaningful impact, graduate students need opportunities to practice scientific reasoning in community settings. Literature Review: Service Learning facilitates applied experiences for students to practice scientific reasoning in "real world" settings in collaboration with community partners. Objective: In this paper, we describe the SL pedagogy and model how to apply the pedagogy to a sample graduate-level course. Teaching Implications: SL courses facilitate high impact opportunities for students to practice data-driven decision-making while serving the community. Conclusion: SL benefits students and the community. Future work can build on the model course we describe by evaluating the outcomes of SL courses against other models of effective teaching. [ABSTRACT FROM AUTHOR]

This study discusses the translation errors of the Indonesian subtitles from the Japanese drama Ichi Rittoru no Namida ‘One Liter Tears’ by Masanori Murakami, released at Fuji Terebi in 2005. There is no reference to similar study about the translation of oral dialogues of Japanese characters who were later translated into in Indonesian is of interest in this study. This study aims to identify the variety of Japanese drama Ichi Rittoru no Namida’s translation errors (subtitles). The formulation of the problem is examined with translation theory, types of translations and translation strategies. Furthermore, the data of this study are sentences or conversations in Japanese as the source language (SL) and Indonesian (subtitle) as the target language (TL) taken from episodes 1 to 6. The data are described using descriptive-qualitative methods. The results of this study are translation errors identified in diction choices, excessive use of words, grammatical errors, shifts in translation and errors due to cultural influences. Some examples of findings include the choice of diction like the word touzen translates to ‘legitimate’, excessive use of words such as the word gomen ne to ‘I am very sorry’, grammatical errors such as the phrase kondo no kusuri traced to ‘the medicine he is taking’, the translation shift as in the noun phrase todoufuken ga shiteishita ishi no shindansho it becomes ‘specified special health service’ and errors due to cultural influences such as the yoroshiku expression becomes ‘dependent on you’. Keywords: Ichi Rittoru no Namida, SL, TL, translation error

Inquiry-discovery learning plays an important role in improving high-order thinking skills (HOTS) and scientific literacy (SL). In this HOTS and SL research, it was designed with Inquiry-discovery based learning. The purpose of this study was to promote Inquiry discovery models in empowering higher-order thinking skills and scientific literacy in physics with different classes. This research used Quasi-Experimental Design research, and Pretest-Posttest Control Group Design. The research analysis design matrix used two-way ANOVA. The sample was taken from two classes, namely the experimental and control classes of 68 students. The results of the study prove that Inquiry discovery can improve HOTS and SL physics of students. Thus, inquiry-discovery can be recommended to increase student's HOTS and SL physics when compared to conventional classes. The novelty of this study is that inquiry-discovery learning models are more likely to reconstruct students' scientific knowledge of physics on aspects of HOTS and SL with real-world life.

A good representation of the interaction between the planetary boundary layer (PBL) and the surface layer (SL) in numerical models is of great importance for the prediction of the initiation and development of convection. This study examined an ensemble that consists of the available suites of PBL and SL parameterizations based on a torrential rainfall event over south China. The sensitivity of the simulations was investigated against objective measurements using multiple PBL and SL parameterization schemes. The main causes of the bias from different parameterization schemes were further analysed by comparing the good and bad ensemble members. The results showed that good members tended to underestimate the rainfall amount but presented a decent evolution of mesoscale convective systems that were responsible for the torrential rainfall. Using the total energy mass flux (TEMF) scheme, the bad members overestimated the amount and spatial coverage of rainfall. The failure of the bad member was due to a spurious convection initiation (CI) resulting from the overestimated high - θe elevated air. The spurious CI developed and expanded rapidly, causing intensive and extensive rainfall over south China. Consistent with previous studies, the TEMF scheme tends to produce a warmer and moister PBL environment. The detailed sensitivity analysis of this case may provide reference for the operational forecast of rainfall over south China using multiple PBL and SL parameterizations. [ABSTRACT FROM AUTHOR]

Non-alcoholic fatty liver disease (NAFLD) and atherosclerosis (ATS) are worldwide known diseases with increased incidence and prevalence. These two are driven and are interconnected by multiple oxidative and metabolic functions such as lipotoxicity. A gamut of evidence suggests that sphingolipids (SL), such as ceramides, account for much of the tissue damage. Although in humans they are proving to be accurate biomarkers of adverse cardiovascular disease outcomes and NAFLD progression, in rodents, pharmacological inhibition or depletion of enzymes driving de novo ceramide synthesis prevents the development of metabolic driven diseases such as diabetes, ATS, and hepatic steatosis. In this narrative review, we discuss the pathways which generate the ceramide synthesis, the potential use of circulating ceramides as novel biomarkers in the development and progression of ATS and related diseases, and their potential use as therapeutic targets in NAFDL-ATS development which can further provide new clues in this field.

The glycosciences aim to understand the impact of extracellular and intracellular carbohydrate structures on biological function. These glycans primarily fall into three major groups: lipid-linked carbohydrates that are referred to as glycosphingolipids or simply glycolipids; relatively short carbohydrate chains that are often O- or N-linked to proteins yielding common glycoproteins; and extended linear polymeric carbohydrate structures that are referred to as glycosaminoglycans (GAGs). Whereas, the impact of such carbohydrate structures has been extensively examined in cancer biology, their role in acute and chronic heart disease is less studied. In this context, a growing body of evidence indicates that glycans play an important role in immune mediated cell recruitment to damaged heart tissue to initiate wound healing and repair after injury. This is particularly important following ischemia and reperfusion that occurs in the heart in the setting of acute myocardial infarction. Here, immune system-mediated repair of the damaged myocardium plays a critical role in determining post-infarction ventricular remodeling, cardiac function, and patient outcome. Further, alterations in immune cell activity can promote the development of heart failure. The present review summarizes our current understanding of the phases of immune-mediated repair following myocardial infarction. It discusses what is known regarding glycans in mediating the recruitment of circulating immune cells during the early inflammatory stage of post-infarction repair, with focus on the selectin family of adhesion molecules. It offers future directions for research aimed at utilizing our knowledge of mechanisms underlying immune cell recruitment to either modulate leukocyte recruitment to the injured tissue or enhance the targeted delivery of biologic therapeutics such as stem cells in an attempt to promote repair of the damaged heart.

The present study investigated the effects of NaCl, KCl and Na2SO4 salts on the C4 excreting halophyte Aeluropus littoralis in relation to growth, mineral status and photosynthesis in greenhouse conditions. Plantlets were subjected to five salinity levels: 0, 200, 400, 600 and 800 mM for 30 days. Growth decreased progressively with salinity increase, its reduction might be correlated with the high sodium (and/or chloride) accumulation in plant tissues, the decrease of leaf water status and the decline of the net photosynthetic rate and the intrinsic water use efficiency. Na2SO4 appeared more toxic than KCl and NaCl, especially at 200 mM. At 200 mM, Na2SO4 reduced plant growth by 61% while for other salt forms, the reductions were less than 20%. At this salt level, stomatal conductance showed a consistent pattern with plant growth and could adequately explain the variations between the effects of the three salt types. [ABSTRACT FROM AUTHOR]

The glycosciences aim to understand the impact of extracellular and intracellular carbohydrate structures on biological function. These glycans primarily fall into three major groups: lipid-linked carbohydrates that are referred to as glycosphingolipids or simply glycolipids; relatively short carbohydrate chains that are often O- or N-linked to proteins yielding common glycoproteins; and extended linear polymeric carbohydrate structures that are referred to as glycosaminoglycans (GAGs). Whereas, the impact of such carbohydrate structures has been extensively examined in cancer biology, their role in acute and chronic heart disease is less studied. In this context, a growing body of evidence indicates that glycans play an important role in immune mediated cell recruitment to damaged heart tissue to initiate wound healing and repair after injury. This is particularly important following ischemia and reperfusion that occurs in the heart in the setting of acute myocardial infarction. Here, immune system-mediated repair of the damaged myocardium plays a critical role in determining post-infarction ventricular remodeling, cardiac function, and patient outcome. Further, alterations in immune cell activity can promote the development of heart failure. The present review summarizes our current understanding of the phases of immune-mediated repair following myocardial infarction. It discusses what is known regarding glycans in mediating the recruitment of circulating immune cells during the early inflammatory stage of post-infarction repair, with focus on the selectin family of adhesion molecules. It offers future directions for research aimed at utilizing our knowledge of mechanisms underlying immune cell recruitment to either modulate leukocyte recruitment to the injured tissue or enhance the targeted delivery of biologic therapeutics such as stem cells in an attempt to promote repair of the damaged heart. [ABSTRACT FROM AUTHOR]

We examined whether soybean (SB) and soy protein isolate (SPI) can prevent the betaine-induced elevation of plasma cholesterol as well as maintain the betaine-induced reduction of plasma Hcy concentration. Rats were fed casein-, SB-, or SPI-based diet with or without betaine; SPI-based diet with betaine containing soybean fiber (SF) or soy lecithin (SL) or the combination of SF and SL. Plasma Hcy concentration was decreased by feeding betaine to rats fed the casein-, SB-, and SPI-based diets. Betaine-induced elevation of plasma cholesterol was decreased by feeding the SB-based diet compared with the casein-based diet, but was not decreased by feeding the SPI-based diet. In rats fed the SPI-based diet, the increased concentration of plasma cholesterol by betaine feeding was not prevented by independent addition of SL or SF, but was prevented by a combination of SL and SF, and was associated with increased fecal excretion of bile acids. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to evaluate our long-term results with the Zweymüller hochgezogen and SL total hip arthroplasty system. This is the first study to provide a 30-year follow-up. Methods: We reviewed 186 Alloclassic stem systems (Zweymüller hochgezogen (112) and SL (74), implanted in 179 patients from 1986 to 1987. Two different types of cementless acetabular components were used. 143 patients had died over the last 30 years, so thirty out of 36 patients being still alive, with a mean follow-up of 29,48 years (SD 0,51), were contacted by telephone and evaluated radiologically and clinically. Our loss-to-follow up was 16,7%. The mean age at follow-up was 83,57 years (72,4-95,2; SD 6,77). Results: If the endpoint is defined as the removal of the stem for aseptic loosening (3 cases), the overall survival rate is 98,38%. If the endpoint is revision for any reason (27 cases), the survival rate is 85,48%. Eleven patients needed an exchange of head and liner. The mean time from implantation until change of head and liner was 21,44 years (SD 5,92). Most of the radiolucent lines and osteolytic zones were found in the proximal Gruen-zones 1 and 7 (69,7 and 21,2%). Conclusion: After 30 years of monitoring we can state that the evaluated system is very reliable in primary and secondary THA. [ABSTRACT FROM AUTHOR]

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Objective The question whether musical training is associated with enhanced auditory and cognitive abilities in children is of considerable interest. In the present study, we compared children with music training versus those without music training across a range of auditory and cognitive measures, including the ability to detect implicitly statistical regularities in input (statistical learning). Methods Statistical learning of regularities embedded in auditory and visual stimuli was measured in musically trained and age-matched untrained children between the ages of 9–11 years. In addition to collecting behavioural measures, we recorded electrophysiological measures to obtain an online measure of segmentation during the statistical learning tasks. Results Musically trained children showed better performance on melody discrimination, rhythm discrimination, frequency discrimination, and auditory statistical learning. Furthermore, grand-averaged ERPs showed that triplet onset (initial stimulus) elicited larger responses in the musically trained children during both auditory and visual statistical learning tasks. In addition, children’s music skills were associated with performance on auditory and visual behavioural statistical learning tasks. Conclusion Our data suggests that individual differences in musical skills are associated with children’s ability to detect regularities. Significance The ERP data suggest that musical training is associated with better encoding of both auditory and visual stimuli. Although causality must be explored in further research, these results may have implications for developing music-based remediation strategies for children with learning impairments. [ABSTRACT FROM AUTHOR]

Information and communication technology (ICT) has progressed rapidly in recent years, and it is becoming necessary for everybody including deaf people. This paper gives an overview of using a technology called Avatar-based technology in the area of sign language, which is the normal language of the deaf worldwide, although it is different from country to another. This paper covers the basic concepts related to the signing avatar and the efforts for applying it in different sign language worldwide, especially Arabic Sign Language (ArSL). [ABSTRACT FROM AUTHOR]

This paper addresses how the contrast known as Individual-­‐Level/Stage-­‐Level (IL/SL) is implemented in the grammar. More specifically, the paper is a critical assessment of the view that the IL/SL distinction is an aspectual distinction. The empirical data I will be using to probe into the IL/SL dichotomy is the contrast between the copular verbs in Spanish ser/estar. I will argue that the Spanish copular contrast reflexes the IL/SL dichotomy and that this dichotomy cannot be reduced to an aspectual difference in the ways it has been proposed in previous literature. Concurring with other authors I will argue that IL/SL-­‐ness ensues from a different syntactic composition, very likely from different heads of prepositional nature, which can be argued to carry aspectual value. Crucially, however, this aspectual heads do not seem to translate into differences at the level of viewpoint or situation aspect in any relevant sense, as has been proposed in the literature.

MON 79351 is a novel liquid glyphosate herbicide which represents the improved product generation within the Roundup® product family. Containing 480 g/l active ingredient, this liquid formulation exceeds our current distributed soluble concentrates in Germany. MON 79351 is formulated as a potassium salt and offers product advantages in contrast to conventional glyphosate products. In product development trials, MON 79351 provides an excellent efficacy against mono- and dicotyledonous annual and perennial weeds under diverse conditions. One reason to secure the sustainable efficacy is a new system of surfactants with a favorable ecotoxicological profile. MON 79351 is already approved in some European countries and registration is aimed for Germany.