bluuebunny/crossref_metadata_2025 huggingface dataset:
â€œWhatsAppâ€ as a Learner Support tool for distance education: Implications for Policy and Practice at University of Zambia
Authors: Simui Francis , Mwewa Godfrey , Chota Amos , Kakana Fabian , Mundende Kasonde , Thompson Lukali , Mwanza Peggy , Ndhlovu Daniel , Namangala Boniface
Published: December 2018

One of the norms of distance education is that learners are the drivers of their learning and teachers merely facilitate the learning process. To this effect, learners are expected to be fully engaged in their studies throughout for them to perform well in their studies. However, the â€˜distanceâ€™ factor inherent in distance education has been identified as one of the major challenges for learners studying in this mode. The geographical isolation significantly detracts from the need for social interactions that are usually afforded by face-to-face situations. Consequently, the void leads to isolation, confusion, stress and ultimately contributing to high failure rate and drop-outs from the academic programmes. In this study, we document the use of â€œWhatsAppâ€ as a tool for learner support among postgraduate students on the distance learning mode within the University of Zambia. The study, through â€œWhatsAppâ€, follows students where they are found and learns from them without disrupting their privacy and culture to inform ODL policy and practice. It is now clear that the University should be proactive to encourage the creation of self-generated social networks to mitigate vexing emergent issues students face on the distance learning mode.
Design and Development of an optimal algorithm to assign applicants to suitable teaching positions
Authors: Chishimba Mumbi , Kunda Douglas
Published: December 2018

Resource allocation has always been an area of interest and the era of computing. This is especially true in areas of computing such as machine learning which provides many solutions to the problem of resource allocation. The issue addressed in this paper is the issue of optimal allocation of applicants (teachers) to positions in schools where their area of specialization will be better applied. We develop an algorithm that is able to allocate applicants to schools based on the applicant qualifications and the schoolâ€™s needs. We use the principles of resource allocation and machine learning in order to create an application to allocate applicants to schools where their qualifications are most suited. Methods used include classification techniques in machine learning, regression and similarity comparison. For the identification is subjects an applicant in proficient in, various machine learning algorithms are tested to determine which machine learning algorithm will be best. The actual process of identifying which applicant qualifies for a school position is also tested against sequential assignment if applicants to schools. The results of this were that the algorithm based assignment of applicants to schools produced more accurate assignment of applicants to schools than the sequential assignment of applicants. The aim of this algorithm is to provide a solution to that automatically identifies the needs (subjects) of a school, determine which needs are to have a higher priority, identify the qualifications of the applicants and assign the applicants to the school according to the schoolâ€™s needs and the applicantâ€™s qualifications.
Chronic Arsenic Exposure through Drinking Water and Risk of Type 2 Diabetes Mellitus: A Study from Bangladesh
Authors: Nesha Mst Karimon , Islam Md Nazrul , Ferdous Nira , Nazrul Fahid Bin , Rasker Johannes J
Published: December 2018

The well-documented fact that chronic arsenic exposure can lead to skin lesions, atherosclerotic diseases and cancers. The findings of association between arsenic exposure and diabetes mellitus indicate additional risk to human health. The aim of this study was to observe the association of chronic arsenic exposure from drinking water and risk of development of type 2 diabetes mellitus. To this end, a cross-sectional study was conducted in Comilla district of Bangladesh where ground water is heavily contaminated with arsenic. The individuals unexposed to arsenic were recruited from the Jhenaidah district. People with arsenic-related skin lesions were defined as subjects exposed to arsenic. Diabetes was defined if fasting blood glucose (FBG)>6.1 mmol/L following World Health Organization (WHO) guidelines. The common odds ratio for diabetes mellitus among subjects exposed to arsenic was 3.5 (95% confidence interval 1.1-10.9). After adjustment for age, sex and BMI, the Mantel-Haenszel weighted prevalence ratio was 3.5 (95% CI: 1.1-11.1); 3.7 (95% CI: 1.1-11.8) and 4.4 (95% CI: 1.1-17.2) respectively. The indicated relationships were significant (P<0.05). The observations suggested, chronic arsenic exposure through drinking water may be a risk factor of type 2 diabetes mellitus.

J Bangladesh Coll Phys Surg 2019; 37(1): 5-12
Dengue Co-Infection Microfilaria Presenting with Intestinal Obstruction: A Case Report
Authors: Kumar A , Manchanda S , Panda PK , Jain M , Kumar V , Biswas Ashutosh
Published: December 2018

In the recent years morbidity caused by dengue epidemic has been devastating. Confection of dengue malaria and filaria has been reported in literature where in filarial antigen was detected in the patient. Concurrent infection by dengue and filaria with high parsetemic microfilariae load in a single individual is very rarely known. The varied clinical profile in dengue is multifactorial and concurrent co-infection may be one of them. Here in this case of concurrent infection with dengue and filarial, the patient presented with intestinal obstruction which responded dramatically with diethylcarbamizine while other clinicalsyndrome took a long time. Furthermore, if single vector can harbour both the infectious agent, the etiopathogenesis may completely take a different turn and at times project alarming condition.

J Bangladesh Coll Phys Surg 2019; 37(1): 35-38
A Young Male with Blurring of Vision
Authors: Amin Md Robed , Ruhee Rahat Ara Khan
Published: December 2018

Abstract not available

J Bangladesh Coll Phys Surg 2019; 37(1): 46
Women’s Role in the Accounting Profession: A Comparative Study between Italy and Romania
Authors: Del Baldo Mara , Tiron-Tudor Adriana , Faragalla Widad Atena
Published: December 2018

Historically, in most countries, the accounting profession has always been male-dominated. Liberal professions such as lawyers, engineers, architects and doctors share the common trait of conservatism. The accounting profession, which is also a liberal profession, is no exception. Starting from this premise, this work aims to provide, using a historical and institutional perspective, a picture of the past and current “journey” in the accountancy profession of women-chartered accountants and auditors in Italy and Romania. Drawing from the theoretical framework of gendered construction of the accounting profession, the paper points out issues affecting the presence, the degree of representativeness and the role (concerning the presence among the higher level of professional activities and governance positions) of women within the National Chartered Association and their continued under-representation in Italy and Romania. Findings contribute to providing insights useful to develop a future agenda and fill in the research gaps in this field.
Temporary Exclusion of Cattle from a Riparian Zone Using Virtual Fencing Technology
Authors: Campbell Dana L. M. , Haynes Sally J. , Lea Jim M. , Farrer William J. , Lee Caroline
Published: December 2018

Grazing cattle can both negatively and positively impact riparian zones, dependent on controlled grazing management. Virtual fencing technology, using collar devices that operate via GPS can provide audio cues and electrical stimuli to temporarily exclude cattle from specified areas as desired. An early experimental prototype automated virtual fencing system was tested in excluding ten cattle from a riparian zone in Australia. Animals were given free access to an 11.33-hectare area for three weeks, excluded from river access by a virtual fence for ten days (2.86-hectare inclusion zone), followed by free access again for six days. Animals were almost exclusively contained by the virtual fence. All animals received audio cues and electrical stimuli with daily fence interactions, but there was high individual variation with some animals first approaching the fence more often than others. Overall, there was an approximately 25% probability that animals would receive an electrical stimulus following an audio cue. Individual associative learning may have been socially-facilitated by the group’s behaviour. Following fence deactivation, all animals re-entered the previously excluded area. Further research with more groups and longer periods of exclusion using updated collar devices would determine the scope of virtual fencing technology for cattle grazing control.
Factors Influencing Farmer Willingness to Reduce Aggression between Pigs
Authors: Peden Rachel S. E. , Akaichi Faical , Camerlink Irene , Boyle Laura A. , Turner Simon P.
Published: December 2018

Aggression between pigs remains an important animal welfare issue despite several solutions existing. Uptake of livestock welfare research relies on various stakeholders being willing to recommend or adopt changes to farm structure or management (e.g., veterinarians, researchers, farmers). This survey provides insight into the attitudes and practices of 122 UK and Irish pig farmers regarding aggression between growing pigs. Our aim was to understand why mitigation strategies are not adequately implemented. The majority of farmers mixed pigs at least once during production and had tried at least one mitigation strategy in the past. Farmers expressed limited willingness to implement strategies in the future, and a structural equation model revealed that this was directly influenced by their beliefs about the outcome of controlling aggression, and their perception of their ability to implement the necessary changes. Willingness was indirectly influenced by their perceptions of aggression as a problem and views of relevant stakeholder groups. Veterinarians had the greatest impact on farmer behavior. We recommend that researchers test research findings in practice, calculate cost-benefits of implementation, and transfer knowledge through various sources. This study showed that structural equation modeling is a valuable tool to understand farmer behavior regarding specific and entrenched animal welfare issues.
Growth Performance, Antioxidant Capacity, Lipid-Related Transcript Expression and the Economics of Broiler Chickens Fed Different Levels of Rutin
Authors: Hassan Fardos A. M. , Roushdy Elshimaa M. , Kishawy Asmaa T. Y. , Zaglool Asmaa W. , Tukur Hammed A. , Saadeldin Islam M.
Published: December 2018

The effects of rutin on growth performance, hematological and biochemical profiles, antioxidant capacity, economics and the relative expression of selected antioxidants and lipid-related genes were studied in broiler chickens over 42 days. A total of 200 one-day-old female Ross-308 broiler chickens were distributed into four groups, with five replicates of 10 individuals per replicate. They were fed with 0 (control), 0.25, 0.5 or 1 g rutin/kg supplementation in their basal diet. Dietary rutin supplementation, especially the 1 g/kg diet, increased body weight gain, the protein efficiency ratio (p < 0.001) and both white blood cell and lymphocyte counts (p < 0.001). However, it had no effect on total protein, albumin, globulin, or alanine transaminase. A high concentration of rutin (0.5 and 1 g/kg) also significantly reduced serum total cholesterol, triacylglycerol and low-density lipoprotein cholesterol concentrations (p < 0.001), as well as malondialdehyde concentrations (p = 0.001). A high concentration diet also increased the activity of superoxide dismutase, catalase and glutathione peroxidase. Of the lipid-related genes examined, acetyl CoA carboxylase and fatty acid synthase were significantly down-regulated in the livers of rutin-fed individuals, whereas carnitine palmitoyl transferase 1 and peroxisome proliferator-activated receptor alpha were significantly up-regulated. Therefore, rutin supplementation at 1 g/kg has the potential to improve the productive performance and health status of broiler chickens.
Interventions to Reduce Antibiotic Prescribing in LMICs: A Scoping Review of Evidence from Human and Animal Health Systems
Authors: Wilkinson Annie , Ebata Ayako , MacGregor Hayley
Published: December 2018

This review identifies evidence on supply-side interventions to change the practices of antibiotic prescribers and gatekeepers in low- and middle-income countries (LMICs). A total of 102 studies met the inclusion criteria, of which 70 studies evaluated interventions and 32 provided insight into prescribing contexts. All intervention studies were from human healthcare settings, none were from animal health. Only one context study examined antibiotic use in animal health. The evidence base is uneven, with the strongest evidence on knowledge and stewardship interventions. The review found that multiplex interventions that combine different strategies to influence behaviour tend to have a higher success rate than interventions based on single strategies. Evidence on prescribing contexts highlights interacting influences including health system quality, education, perceptions of patient demand, bureaucratic processes, profit, competition, and cultures of care. Most interventions took place within one health setting. Very few studies targeted interventions across different kinds of providers and settings. Interventions in hospitals were the most commonly evaluated. There is much less evidence on private and informal private providers who play a major role in drug distribution in LMICs. There were no interventions involving drug detailers or the pharmaceutical companies despite their prominent role in the contextual studies.
Effects of Water Reducing Admixture on Rheological Properties, Fiber Distribution, and Mechanical Behavior of UHPFRC
Authors: Kang Su-Tae , Kim Jae Hong , Lee Bang Yeon
Published: December 2018

The rheological properties of ultra-high-performance fiber-reinforced concrete (UHPFRC) according to the amount of water reducing admixture (WRA) and their effects on the fiber distribution and the tensile performance of UHPFRC were investigated. Four types of mixtures with a high compressive strength over 150 MPa were designed according to the amount of WRA and the flowability, rheological properties, compressive strength, flexural performance, and fiber distribution were measured. Test results showed that the amount of WRA influences both the freshly mixed and hardened properties. It was also revealed that the flexural strength has a strong correlation with rheological properties, compressive strength, and fiber distribution.
Ontological Representation of Smart City Data: From Devices to Cities
Authors: Espinoza-Arias Paola , Poveda-Villalón María , García-Castro Raúl , Corcho Oscar
Published: December 2018

Existing smart city ontologies allow representing different types of city-related data from cities. They have been developed according to different ontological commitments and hence do not share a minimum core model that would facilitate interoperability among smart city information systems. In this work, a survey has been carried out in order to study available smart city ontologies and to identify the domains they are representing. Taking into account the findings of the survey and a set of ontological requirements for smart city data, a list of ontology design patterns is proposed. These patterns aim to be easily replicated and provide a minimum set of core concepts in order to guide the development of smart city ontologies.
Simulation Model and Method for Active Torsional Vibration Control of an HEV
Authors: Zhong Biqing , Deng Bin , Zhao Han
Published: December 2018

Hybrid electric vehicles (HEV) might cause new noise vibration and harshness (NVH) problems, due to their complex powertrain systems. Therefore, in this paper, a new longitudinal dynamic simulation model of a series-parallel hybrid electric bus with an active torsional vibration control module is proposed. First, the schematic diagrams of the simulation model architecture and the active control strategy are given, and the dynamic models of the main components are introduced. Second, taking advantage of the characteristics of hybrid systems, a method of determining the key dynamic parameters by a bench test is proposed. Finally, in a typical bus-driving cycle for Chinese urban conditions, time domain and frequency domain processing methods are used to analyze vehicle body jerk, fluctuation of rotational speed, and torsional angle of the key components. The results show that the active control method can greatly improve the system’s torsional vibration performance when switching modes and at resonance.
Personal Climatization Systems—A Review on Existing and Upcoming Concepts
Authors: Warthmann Alexander , Wölki Daniel , Metzmacher Henning , Van Treeck Christoph
Published: December 2018

To accomplish the current climate goals of the federal republic of Germany, energy efficiency within the building and automotive sector must improve considerably. One possible way to reduce the high amount of energy required for heating, ventilation, and air-conditioning (HVAC) is the introduction of personal climatization systems in combination with the extension of the standardized room air temperature range. Personal systems allow improvements of climatic conditions (heating, cooling, and air quality) within sub-areas of the room instead of conditioning an entire room air volume. In this regard, personal systems are perfectly suitable for locations with local air-conditioning focal points, such as open-plan offices and vehicle cabins, where they substantially improve the energy efficiency of the entire system. This work aims to summarize previously conducted research in the area of personal climatization systems. The investigated local thermal actuators comprise fans for the generation of air movement, ventilators for the improvement of the air quality within the respiratory area of persons, water-conditioned panels for the climatization of persons via longwave radiation and conduction, radiant heaters, and combinations of the systems. Personal systems are superior to mixing ventilation regarding the improvement of the perceived air quality and thermal comfort. Furthermore, the introduced overview shows that personal climatization systems are generally more energy-efficient than conventional air-conditioning and facilitates the extension of the indoor air temperature corridor of the HVAC. Table fans and climatized seats are highly effective in connection with the improvement of personal thermal comfort. The performance of the overwhelming majority of applied personal environmental control systems is user-controlled or depends on a predefined load profile, which is generally defined person independent. Single studies reveal that effectively controlled automated systems have a similar thermal impact on a user’s thermal comfort as user-controlled ones. The implementation of an automated control system is feasible by using novel approaches such as the so-called human-centered closed loop control-platform (HCCLC-platform). The latter contains a central data server which allows asynchronous, bi-directional communication between multi-modal sensor data, user feedback systems, thermal actuators and numerical calculation models used to assess the individual thermal comfort of a person. This enables a continuous and holistic reflection of the thermal situation inside a room and the estimation of the corresponding impact on an individual’s thermal comfort. Considering the measured and simulated thermal state of a single person, the described system is capable of determining body-part-specific energy requirements that are needed to keep the overall thermal comfort level of an individual person on a high level.
A Switching Hybrid Dynamical System: Toward Understanding Complex Interpersonal Behavior
Authors: Yamamoto Yuji , Kijima Akifumi , Okumura Motoki , Yokoyama Keiko , Gohara Kazutoshi
Published: December 2018

Complex human behavior, including interlimb and interpersonal coordination, has been studied from a dynamical system perspective. We review the applications of a dynamical system approach to a sporting activity, which includes continuous, discrete, and switching dynamics. Continuous dynamics identified switching between in- and anti-phase synchronization, controlled by an interpersonal distance of 0.1 m during expert kendo matches, using a relative phase analysis. In the discrete dynamical system, return map analysis was applied to the time series of movements during kendo matches. Offensive and defensive maneuvers were classified as six coordination patterns, that is, attractors and repellers. Furthermore, these attractors and repellers exhibited two discrete states. Then, state transition probabilities were calculated based on the two states, which clarified the coordination patterns and switching behavior. We introduced switching dynamics with temporal inputs to clarify the simple rules underlying the complex behavior corresponding to switching inputs in a striking action as a non-autonomous system. As a result, we determined that the time evolution of the striking action was characterized as fractal-like movement patterns generated by a simple Cantor set rule with rotation. Finally, we propose a switching hybrid dynamics to understand both court-net sports, as strongly coupled interpersonal competition, and weakly coupled sports, such as martial arts.
FFT-Based Scan-Matching for SLAM Applications with Low-Cost Laser Range Finders
Authors: Jiang Guolai , Yin Lei , Liu Guodong , Xi Weina , Ou Yongsheng
Published: December 2018

Simultaneous Localization and Mapping (SLAM) is an active area of robot research. SLAM with a laser range finder (LRF) is effective for localization and navigation. However, commercial robots usually have to use low-cost LRF sensors, which result in lower resolution and higher noise. Traditional scan-matching algorithms may often fail while the robot is running too quickly in complex environments. In order to enhance the stability of matching in the case of large pose differences, this paper proposes a new method of scan-matching mainly based on Fast Fourier Transform (FFT) as well as its application with a low-cost LRF sensor. In our method, we change the scan data within a range of distances from the laser to various images. FFT is applied to the images to determine the rotation angle and translation parameters. Meanwhile, a new kind of feature based on missing data is proposed to determine the rough estimation of the rotation angle under some representative scenes, such as corridors. Finally, Iterative Closest Point (ICP) is applied to determine the best match. Experimental results show that the proposed method can improve the scan-matching and SLAM performance for low-cost LRFs in complex environments.
Computer-Aided Design and Manufacturing Technology for Identification of Optimal Nuss Procedure and Fabrication of Patient-Specific Nuss Bar for Minimally Invasive Surgery of Pectus Excavatum
Authors: Kim Yoon-Jin , Heo Jin-Young , Hong Ki-Hyun , I Hoseok , Lim Beop-Yong , Lee Chi-Seung
Published: December 2018

The Nuss procedure is one of the most widely used operation techniques for pectus excavatum (PE) patients. It attains the normal shape of the chest wall by lifting the patient’s chest wall with the Nuss bar. However, the Nuss bar is for the most part bent by a hand bender according to the patient’s chest wall, and this procedure causes various problems such as the failure of the operation and a decreased satisfaction of the surgeon and patient about the operation. To solve this problem, we proposed a method for deriving the optimal operation result by designing patient-specific Nuss bars through computer-aided design (CAD) and computer-aided manufacturing (CAM), and by performing auto bending based on the design. In other words, a three-dimensional chest wall model was generated using the computed tomography (CT) image of a pectus excavatum patient, and an operation scenario was selected considering the Nuss bar insertion point and the post-operative chest wall shape. Then, a design drawing of the Nuss bar that could produce the optimal operation result was derived from the operation scenario. Furthermore, after a computerized numerical control (CNC) bending machine for the Nuss bar bending was constructed, the Nuss bar prototype was manufactured based on the derived design drawing of the Nuss bar. The Nuss bar designed and manufactured with the proposed method has been found to improve the Haller index (HI) of the pectus excavatum patient by approximately 37% (3.14 before to 1.98 after operation). Moreover, the machining error in the manufacturing was within ±5% compared to the design drawing. The method proposed and verified in this study is expected to reduce the failure rate of the Nuss procedure and significantly improve the satisfaction of the surgeon and patient about the operation.
Dynamic Monitoring of the Water Flowing Fractured Zone during the Mining Process under a River
Authors: Chang Shuai , Yang Zhen , Guo Changfang , Ma Zhanyuan , Wu Xiang
Published: December 2018

The hydrogeological conditions of coal mines in China are quite complex, and water inrush accidents occur frequently with disastrous consequences during coal extraction. Among them, the risk of coal mining under a river is the highest due to the high water transmissivity and lateral charge capacity of the unconfined aquifer under the river. The danger of mining under a river requires the accurate determination of the developmental mechanisms of the water flowing fractured zone (WFFZ) and the water flow mechanisms influenced by the specific geological conditions of a coal mine. This paper first used the transient electromagnetic (TEM) method to monitor the development of the WFFZ and the water flow mechanisms following the mining of a longwall face under a river. The TEM survey results showed that the middle Jurassic coarse sandstone aquifer and the Klzh unconfined aquifer were the main aquifers of the 8101 longwall panel, and the WFFZ reached the aquifers during the mining process. Due to the limited water reserves in the dry season, the downward flowing water mainly came from the lateral recharge in the aquifer. The water inrush mechanisms of the 8101 longwall panel in Selian No.1 Coal mine were analyzed based on the water flow mechanisms of the aquifer and the numerical simulation results. This provides theoretical and technical guidance to enact safety measures for mining beneath aquifers.
Regarding Solid Oxide Fuel Cells Simulation through Artificial Intelligence: A Neural Networks Application
Authors: Baldinelli Arianna , Barelli Linda , Bidini Gianni , Bonucci Fabio , Iskenderoğlu Feride
Published: December 2018

Because of their fuel flexibility, Solid Oxide Fuel Cells (SOFCs) are promising candidates to coach the energy transition. Yet, SOFC performance are markedly affected by fuel composition and operative parameters. In order to optimize SOFC operation and to provide a prompt regulation, reliable performance simulation tools are required. Given the high variability ascribed to the fuel in the wide range of SOFC applications and the high non-linearity of electrochemical systems, the implementation of artificial intelligence techniques, like Artificial Neural Networks (ANNs), is sound. In this paper, several network architectures based on a feedforward-backpropagation algorithm are proposed and trained on experimental data-set issued from tests on commercial NiYSZ/8YSZ/LSCF anode supported planar button cells. The best simulator obtained is a 3-hidden layer ANN (25/22/18 neurons per layer, hyperbolic tangent sigmoid as transfer function, obtained with a gradient descent with adaptive learning rate backpropagation). This shows high accuracy (RMS = 0.67% in the testing phase) and successful application in the forecast of SOFC polarization behaviour in two additional experiments (RMS in the order of 3% is scored, yet it is reduced to about 2% if only the typical operating current density range of real application is considered, from 300 to 500 mA·cm−2). Therefore, the neural tool is suitable for system simulation codes/software whether SOFC operating parameters agree with the input ranges (anode feeding composition 0–48%vol H2, 0–38%vol CO, 0–45%vol CH4, 9–32%vol CO2, 0–54%vol N2, specific equivalent hydrogen flow-rate per unit cell active area 10.8–23.6 mL·min−1·cm−2, current density 0–1300 mA·cm−2 and temperature 700–800 °C).
Preparation of a High-Performance Porous Ceramic Membrane by a Two-Step Coating Method and One-Step Sintering
Authors: Hu Zhiwen , Yang Yulong , Chang Qibing , Liu Fengli , Wang Yongqing , Rao Jinfeng
Published: December 2018

Hole defects and uneven membrane thicknesses can lead to poor performance, especially in the separation stability of ceramic membranes. This paper uses a one-step sintering method, which avoids hole defects and uneven membrane thicknesses, for the preparation of high-performance and defect-free ceramic membranes. For this purpose, two kinds of ceramic membrane slurry with high or low viscosities were prepared by alumina particles, as raw materials. Both the effects of the two coating process with a one-step coating method for low-viscosity slurry, and the two-step coating method with a high viscosity flush after a low viscosity coating, on the surface properties of a ceramic membrane, were studied in detail. The result shows that the properties of ceramic membranes can be improved by a two-step coating method, with a high viscosity flush after a low viscosity coating, A high-performance and defect-free ceramic membrane was obtained by one-step sintering at 1450 °C for 2 hr with 7 wt % solid content and a coating time of 11 s.
Effect of Trace Yttrium Addition and Heat Treatment on the Microstructure and Mechanical Properties of As-Cast ADC12 Aluminum Alloy
Authors: Liu Jianlong , Wu Qingjie , Yan Hong , Zhong Songgen , Huang Zhixiang
Published: December 2018

The effects of rare earth yttrium (Y) additions and the heat treatment process on the microstructure and mechanical properties of as-cast ADC12 aluminum alloy have been investigated. The results showed that the primary Si crystals were significantly refined from long axis to fibrous or granular when the Y content was 0.2 wt%. Compared to the matrix, the mean area and aspect ratio were decreased by 92% and 75%, respectively. Moreover, the Si and Fe-rich phases were spheroidized and refined with a small average size during the solid solution. It was also noted that the copper-rich phases were dissolved into the matrix. Correspondingly, it was found that after metamorphic and heat treatment the ultimate tensile strength (UTS), elongation, and, hardness increased by 81.9%, 69.7%, and 74.8%, respectively, compared to the matrix. The improved mechanical properties can primarily be attributed to the optimization of the microstructure and the refinement of various phases.
Mixed-Degree Cubature H∞ Information Filter-Based Visual-Inertial Odometry
Authors: Song Chunlin , Wang Xiaogang , Cui Naigang
Published: December 2018

Visual–inertial odometry is an effective system for mobile robot navigation. This article presents an egomotion estimation method for a dual-sensor system consisting of a camera and an inertial measurement unit (IMU) based on the cubature information filter and H∞ filter. The intensity of the image was used as the measurement directly. The measurements from the two sensors were fused with a hybrid information filter in a tightly coupled way. The hybrid filter used the third-degree spherical-radial cubature rule in the time-update phase and the fifth-degree spherical simplex-radial cubature rule in the measurement-update phase for numerical stability. The robust H∞ filter was combined into the measurement-update phase of the cubature information filter framework for robustness toward non-Gaussian noises in the intensity measurements. The algorithm was evaluated on a common public dataset and compared to other visual navigation systems in terms of absolute and relative accuracy.
Transforming Fashion Expression through Textile Thinking
Authors: Salolainen Maarit , Leppisaari Anna-Mari , Niinimäki Kirsi
Published: December 2018

The focus of this research is on the experiences of a new fashion pedagogy linked to textile studios at Aalto University, School of Arts, Design and Architecture, in Espoo, Finland. Rich practice-based research and skilled use of materials and textile techniques are elements of transforming fashion design implemented through studio-based pedagogy. Effective learning is constructed by adding tacit and haptic knowledge of textiles into fashion expression. Furthermore, while textile design combines elements from aesthetic creativity with technical skills, this knowledge, textile thinking, can form a new grounding for fashion design. Through reflective learning, practically oriented and theoretical knowledge can be combined, and hands-on studio pedagogy has established the platform for this type of learning. Fashion students’ textile studies extend to woven fabrics and jacquards as well as knits, embroideries, prints, and other finishing techniques and aim to teach them about industrial manufacturing and provide them with an understanding of industrial processes and requirements. This research observes this transformation process of fashion expression through textile thinking based on observations, teachers’ reflections, and student interviews. Further, the learning outcomes have been reflected against the transformation of the curriculum to provide understanding for this development process.
The Development of Boundary Layer Structure Index (BLSI) and Its Relationship with Ground Air Quality
Authors: Zheng Xiang , Qin Jun , Liang Shengwen , Yuan Zhengxuan , Mbululo Yassin
Published: December 2018

Ambient air quality monitoring data and radar tracking sonde data were used to study the atmospheric boundary layer structure (ABLS) and its changing characteristics over Wuhan. The boundary layer structure index (BLSI), which can effectively describe the ABLS, was accordingly developed and its ability to describe the near-surface air quality was analyzed. The results can be summarized as follows. (1) An analysis of the ABLS during seriously polluted cases revealed that the ABLS was usually dry and warm with a small ventilation index (VI); meanwhile, the ABLS during clean cases was usually wet and cold with a large VI. (2) The correlation between the air quality and BLSI at 100~300 m was good and passed the confidence level limit at 99%. Moreover, the correlation coefficient increased with the altitude at 10~250 m and showed a downward trend at 250~500 m. The correlation between the BLSI at 250 m and the ground air quality was the most significant (r = 0.312), indicating that the layer ranging from 0 to 250 m is essential for determining the ground air quality. (3) The BLSI considers both the vertical diffusion capability and horizontal removal capability of the atmosphere. Therefore, it is highly capable of describing the ABLS and the ground air quality.
Occurrence and Reverse Transport of Severe Dust Storms Associated with Synoptic Weather in East Asia
Authors: Li Wenshuai , Wang Wencai , Zhou Yang , Ma Yuanyuan , Zhang Daizhou , Sheng Lifang
Published: December 2018

The range and time of the environmental effects of Asian dust are closely dependent on the pathways and the speed of dust plume movement. In this study, the occurrence and movement of two dust storms in China in May 2017 were examined by using open space- and ground-based measurement data and the backward trajectories of dust plumes. Results from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis data showed that the dust storms were caused by the rapid coupling development of Mongolian cyclones and Asian highs. After the dust plumes arrived at the Southeastern China in the first dust event, the stable weather conditions and the Asian high slowed down the movement of the plumes, leading to the gradual diffusion of dust particles. Moreover, the Asian high in the first event and the Huabei low (a low-pressure system in North China Plain) in the second altered the movement direction of the dust plumes from southward to northward, which we denote as the “dust reverse transport (DRT)”. The DRT occurred only within the lower troposphere even though dust plumes could extended to 5–10 km in vertical direction. Statistical results of 28 spring dust events occurred in 2015–2018 showed that all these dust storms were triggered by Mongolian cyclones and/or Asian highs, and approximately 39% moved as the DRT, indicating about one third of severe spring dust storms could influence larger areas or longer time than the remained ones.
Epibatidine: A Promising Natural Alkaloid in Health
Authors: Salehi Bahare , Sestito Simona , Rapposelli Simona , Peron Gregorio , Calina Daniela , Sharifi-Rad Mehdi , Sharopov Farukh , Martins Natália , Sharifi-Rad Javad
Published: December 2018

Epibatidine is a natural alkaloid that acts at nicotinic acetylcholine receptors (nAChRs). The present review aims to carefully discuss the affinity of epibatidine and its synthetic derivatives, analogues to nAChRs for α4β2 subtype, pharmacokinetic parameters, and its role in health. Published literature shows a low affinity and lack of binding of epibatidine and its synthetic analogues to plasma proteins, indicating their availability for metabolism. Because of its high toxicity, the therapeutic use of epibatidine is hampered. However, new synthetic analogs endowed from this molecule have been developed, with a better therapeutic window and improved selectivity. All these aspects are also discussed here. On the other hand, many reports are devoted to structure–activity relationships to obtain optically active epibatidine and its analogues, and to access its pharmacological effects. Although pharmacological results are obtained from experimental studies and only a few clinical trials, new perspectives are open for the discovery of new drug therapies.
Nanoparticle-Based Biosensing of Tuberculosis, an Affordable and Practical Alternative to Current Methods
Authors: Bhusal Nirajan , Shrestha Sunaina , Pote Nisha , Alocilja Evangelyn C.
Published: December 2018

Access to community-based point-of-care, low-cost, and sensitive tuberculosis (TB) diagnostics remains an unmet need. Objective: The objective of this study was to combine principles in nanotechnology, TB biology, glycochemistry, and engineering, for the development of a nanoparticle-based colorimetric biosensing assay (NCBA) to quickly and inexpensively detect acid-fast bacilli (AFB) in sputum samples. Methods: In NCBA, the isolation of AFB from sputum samples was accomplished through glycan-coated magnetic nanoparticles (GMNP) interacting with AFB and then using a simple magnet to separate the GMNP-AFB complex. Acid-fastness and cording properties of mycobacteria were utilized to provide visually observable red-stained clumps of bacteria that were surrounded by brown nanoparticles under a light microscope on prepared smears. The NCBA technique was compared against sputum smear microscopy (SSM) and Xpert MTB/RIF in 500 samples from patients that were suspected to have TB. Results: Statistical analysis showed that NCBA had sensitivity and specificity performances in perfect agreement with Xpert MTB/RIF as gold standard for all 500 samples. SSM had a sensitivity of 40% for the same samples. Conclusion: NCBA technique yielded full agreement in terms of sensitivity and specificity with the Xpert MTB/RIF in 500 samples. The method is completed in 10–20 min through a simple process at an estimated cost of $0.10 per test. Implementation of NCBA in rural communities would help to increase case finding and case notification, and would support programs against drug-resistance. Its use at the first point-of-contact by patients in the healthcare system would facilitate quick treatment in a single clinical encounter, thus supporting the global “End TB Strategy” by 2035.
Differential Expression of Genes Related to Innate Immune Responses in Ex Vivo Spinal Cord and Cerebellar Slice Cultures Infected with West Nile Virus
Authors: Vig Parminder J. S. , Lu Deyin , Paul Amber M. , Kuwar Ram , Lopez Maria , Stokic Dobrivoje S. , Leis A. Arturo , Garrett Michael R. , Bai Fengwei
Published: December 2018

West Nile virus (WNV) infection results in a spectrum of neurological symptoms, ranging from a benign fever to severe WNV neuroinvasive disease with high mortality. Many who recover from WNV neuroinvasive infection present with long-term deficits, including weakness, fatigue, and cognitive problems. While neurons are a main target of WNV, other cell types, especially astrocytes, play an important role in promoting WNV-mediated central nervous system (CNS) damage. Conversely, it has been shown that cultured primary astrocytes secrete high levels of interferons (IFNs) immediately after WNV exposure to protect neighboring astrocytes, as well as neurons. However, how intrinsic responses to WNV in specific cell types and different regions of the brain modify immune protection is not fully understood. Here, we used a mouse ex vivo spinal cord slice culture (SCSC) and cerebellar slice culture (CSC) models to determine the innate immune responses specific to the CNS during WNV infection. Slices were prepared from the spinal cord and cerebellar tissue of 7–9-day-old mouse pups. Four-day-old SCSC or CSC were infected with 1 × 103 or 1 × 105 PFU of WNV, respectively. After 12 h exposure to WNV and 3 days post-infection in normal growth media, the pooled slice cultures were processed for total RNA extraction and for gene expression patterns using mouse Affymetrix arrays. The expression patterns of a number of genes were significantly altered between the mock- and WNV-treated groups, both in the CSCs and SCSCs. However, distinct differences were observed when CSC data were compared with SCSC. CSCs showed robust induction of interferons (IFNs), IFN-stimulated genes (ISGs), and regulatory factors. Some of the antiviral genes related to IFN were upregulated more than 25-fold in CSCs as compared to mock or SCSC. Though SCSCs had twice the number of dysregulated genes, as compared CSCs, they exhibited a much subdued IFN response. In addition, SCSCs showed astrogliosis and upregulation of astrocytic marker genes. In sum, our results suggest that early anti-inflammatory response to WNV infection in CSCs may be due to large population of distinct astrocytic cell types, and lack of those specialized astrocytes in SCSC may make spinal cord cells more susceptible to WNV damage. Further, the understanding of early intrinsic immune response events in WNV-infected ex vivo culture models could help develop potential therapies against WNV.
Induction Chemotherapy in Head and Neck Squamous Cell Carcinoma: A Question of Belief
Authors: Karabajakian Andy , Gau Max , Reverdy Thibault , Neidhardt Eve-Marie , Fayette Jérôme
Published: December 2018

Induction chemotherapy (IC) in locally advanced head and neck squamous cell carcinoma (LA HNSCC) has been used for decades. However, its role is yet to be clearly defined outside of larynx preservation. Patients with high risk of distant failure might potentially benefit from sequential treatment. It is now widely accepted that TPF (docetaxel, cisplatin, and fluorouracil) is the standard IC regimen. Essays that have compared this approach with the standard of care, concurrent chemoradiotherapy (CCRT), are mostly inconclusive. Radiotherapy (RT) can be used in the post-IC setting and be sensitized by chemotherapy or cetuximab. Again, no consensus exists but there seems to be trend in favor of potentiation by cisplatin. Less toxic schemes of IC are tested as toxicity is a major issue with TPF. IC might have an interesting role in human papilloma virus (HPV)-related LA HNSCC and lead to CCRT de-escalation.
Non-Coding RNAs in Glioma
Authors: Rynkeviciene Ryte , Simiene Julija , Strainiene Egle , Stankevicius Vaidotas , Usinskiene Jurgita , Miseikyte Kaubriene Edita , Meskinyte Ingrida , Cicenas Jonas , Suziedelis Kestutis
Published: December 2018

Glioma is the most aggressive brain tumor of the central nervous system. The ability of glioma cells to migrate, rapidly diffuse and invade normal adjacent tissue, their sustained proliferation, and heterogeneity contribute to an overall survival of approximately 15 months for most patients with high grade glioma. Numerous studies indicate that non-coding RNA species have critical functions across biological processes that regulate glioma initiation and progression. Recently, new data emerged, which shows that the cross-regulation between long non-coding RNAs and small non-coding RNAs contribute to phenotypic diversity of glioblastoma subclasses. In this paper, we review data of long non-coding RNA expression, which was evaluated in human glioma tissue samples during a five-year period. Thus, this review summarizes the following: (I) the role of non-coding RNAs in glioblastoma pathogenesis, (II) the potential application of non-coding RNA species in glioma-grading, (III) crosstalk between lncRNAs and miRNAs (IV) future perspectives of non-coding RNAs as biomarkers for glioma.
The Circadian Rhythm of Breakthrough Pain Episodes in Terminally-ill Cancer Patients
Authors: Campagna Sara , Sperlinga Riccardo , Milo Antonella , Sannuto Simona , Acquafredda Fabio , Saini Andrea , Gonella Silvia , Berruti Alfredo , Scagliotti Giorgio Vittorio , Tampellini Marco
Published: December 2018

Opioid therapy must be adjusted to the rhythm of a cancer patient’s pain to ensure adequate symptom control at the end of life (EOL). However, to-date no study has explored the rhythm of breakthrough pain (BTP) episodes in terminally-ill cancer patients. This prospective longitudinal study was aimed at verifying the existence of a circadian rhythm of BTP episodes in terminally-ill cancer patients. Consecutive adult cancer patients at their EOL treated with long-acting major opioids to control background pain (Numeric Rating Scale ≤ 3/10) were recruited from two Italian palliative care services. Using a personal diary, patients recorded the frequency and onset of BTP episodes and the analgesic rescue therapy taken for each episode over a 7-day period. Rhythms identified in BTP episodes were validated by Cosinor analysis. Overall, 101 patients were enrolled; nine died during the study period. A total of 665 BTP episodes were recorded (average of 7.2 episodes, mean square error 0.8) per patient, with 80.6% of episodes recorded between 8:00 a.m. and 12:00 a.m. At Cosinor analysis, a circadian rhythm of BTP episodes was observed, with a Midline Estimating Statistics of the Rhythm (MESOR) of 1.5, a double amplitude of 1.8, and an acrophase at 12:30 p.m. (p < 0.001). Oral morphine was the most frequent analgesic rescue therapy employed. In terminally-ill cancer patients, BTP episodes follow a circadian rhythm; thus, tailoring the timing of opioid administration to this rhythm may prevent such episodes. This circadian rhythm of BTP episodes in terminally-ill cancer patients should be confirmed in larger samples.