nils-herrmann/clean_scirepeval huggingface dataset:
Transportation Services as Specific Logistics Projects for Oversized Cargo in Poland

Market observation demonstrates that the transportation freight forwarding logistics sector carries out diverse projects based on clients' orders. The majority of those orders are unique and project related. Recently, the project approach to logistics has gained significance. Logistics project management is a relatively new area of knowledge about logistics and supply chains. The paper presents the essence and characteristics of transportation services as a specific logistics project. The authors characterize the transportation freight forwarding logistics sector, with particular focus on the sector of oversized cargo transportation. The demand for such services depends on the industry, energy, infrastructure development, investment projects in particular countries, as well as on economic policies. The paper identifies key factors that need to be taken under consideration when planning oversized cargo transportation services, i.e. specific characteristics, conditions, technology, tools, techniques, and methods, for example, a method of transportation service cost estimations. The proposed method uses fuzzy set theory. It can be implemented into the practice of transportation freight forwarding logistics enterprises, facilitating the modeling of uncertainties typical in such undertakings. A practical example of a transportation service is presented.
An Introduction to Agent Based Simulation as a Decision Support Tool

Agent based simulation (ABS) has been used widely in various application areas. This paper provides a tutorial on ABS. In addition to the theoretical foundations, such as the definitions of key ABS concepts and the structure of an ABS model, this tutorial also explains the technical aspect, such as how an ABS model is implemented using a software tool and how ABS is used to solve a problem. The software tool used in this tutorial is Repast. The last part of the tutorial discusses the challenges that need to be addressed in order to increase the confidence of decision makers, who may not be familiar with computer programming, when using ABS to help them make decisions. The challenges include conceptual model representation, validation and participatory modelling.
Barriers in green lean six sigma product development process: an ISM approach

In today's competitive globalised business environment, production cost cutting is a primary issue before operation managers. As a research area, green lean six sigma (GLS) is proposed to have strategic importance in product development towards cutting costs, contributing to optimisation, and achieving sustainability. This research requirement has been realised to draw benefits out of three recent and involved approaches (green, lean and six sigma) In this research, an attempt has been made to address barriers in GLS product development (GLSPD) from an extensive literature review and from experts' opinions towards developing a hierarchical model structuring these barriers. Twenty one barriers have been identified and sorted from the review of literature and were then validated through discussions with experts. Relationships (contextual in nature) among these barriers have been realised during a brainstorming session. An interpretive structural modelling (ISM) technique has been utilised for developing a hierarchical model of barriers in implementing the GLSPD process in the automobile sector of India. A nine level structural model has been deduced after application of the ISM technique, which shows 'Competition and Uncertainty' as the topmost output of the model and 'Lack of Total Top Management Commitment' as the bottom level input to other barriers of the model. Further, MICMAC analysis has been also done to classify these barriers for better understanding; seven barriers are identified as driver barriers, nine as dependent, five barriers as linkage and no barrier as autonomous. An analysis of interdependence and interactions among these barriers may help supply chain managers reach a better understanding of barriers. Thus, managers may be helped in prioritising and managing barriers in order to gain a competitive advantage from GLS concept implementation in product development.
CEO transformational leadership and the new product development process

The purpose of this paper is to examine the linkages between CEO transformational leadership and the new product development (NPD) process through organizational learning and innovation culture.  A large scale survey by a sample of 269 manufacturing firms in Thailand was conducted. Structural equation modeling was used to test the proposed relationships.  CEO transformational leadership was strongly and positively associated with organizational learning and innovation culture. Additionally, organizational learning and innovation culture were positively related to the NPD process.  Managers should pay more attention to organizational learning since it has a strong impact on the NPD process. CEOs with an innovation oriented attitude should develop their transformational leadership to support organizational learning and an innovation culture.  The study extends the understanding of the connections between CEO transformational leadership and the NPD process. The results highlight the mediating roles of organizational learning and innovation culture on the relationship between CEO transformational leadership and the NPD process.
Hybrid surface acoustic wave/microstrip signal interference bandpass filters

Radio frequency (RF) design techniques for the development of signal interference microwave bandpass filters (BPFs) with hybridised microstrip and surface acoustic wave (SAW) elements are reported. They make use of two original types of transversal filtering sections (TFSs) with embedded one port SAW resonators. The SAW resonators operate either as non resonating nodes or as an in band SAW BPF in their bi path circuit topologies. These new TFS approaches extend the suitability of signal interference BPFs to small fractional bandwidth (FBW) applications, while offering significant advantages in terms of filtering selectivity and occupied circuit size when compared to traditional solutions for narrow to moderate/wide band specifications. Broader FBWs than those attainable through most of the available all acoustic wave BPF configurations are also feasible with them. Moreover, a single type of SAW device is employed in the entire BPF structure, which results in a practical benefit regarding robustness to deviations in the prototype fabrication and assembly processes. The proposed filter design concepts are experimentally verified through the fabrication in microstrip technology and characterisation of two multi TFS series cascade based high order BPF prototypes with very narrow and moderate FBWs.
Perancangan Sistem Stabilisasi Kamera Tiga Sumbu dengan Metode Kontrol Fuzzy untuk Mobile Surveillance Robot

Robot pengintaian (surveillance robot) sering digunakan pada militer untuk melakukan tugas pengintaian sehingga tidak perlu membahayakan nyawa manusia karena dikendalikan dari jarak jauh. Robot pengintai memiliki kamera yang diletakkan di atas robot. Ketika melakukan pengamatan menggunakan kamera ini, seringkali pengamatan terganggu akibat guncangan guncangan yang terjadi pada kamera. Guncangan ini disebabkan karena permukaan jalan yang dilalui oleh robot tidak rata. Sistem stabilisasi kamera adalah perangkat yang digunakan untuk menghilangkan guncangan dan menjaga posisi kamera agar kamera dapat mengambil gambar dengan baik pada suatu sudut pandang tertentu. Pada tugas akhir ini, dibuat sebuah sistem stabilisasi untuk robot pengintai dengan dua buah sensor gyroscope MPU 6050 untuk mengetahui kecepatan sudut guncangan dan kecepatan sudut kamera, mikrokontroler Arduino Mega sebagai pusat kontrol dan tiga buah motor DC brushless sebagai aktuator. Metode kontrol yang ditanamkan pada sistem terdiri dari tiga sistem Fuzzy untuk menangani sumbu pitch, roll, dan yaw. Pada tugas akhir ini diujikan dua metode. Metode pertama menggunakan satu sensor gyroscope sebagai nilai feedback, metode kedua menggunakan dua sensor gyroscope sebagai nilai feedback dan set point. Standar deviasi pada pengujian perekaman video tanpa kontrol untuk pixel x 40.57 dan pixel y 32.95. Standar deviasi dengan metode pertama untuk pixel x 24.73 adalah dan pixel y 21.73, Sedangkan standar deviasi metode kedua untuk pixel x 16.70 dan pixel y 22.44.
A K PLSR based color correction method for TCM tongue images under different illumination conditions
Venue: Neurocomputing

In this paper a Kernel Partial Least Squares Regression (K PLSR) based color correction method for Traditional Chinese Medicine (TCM) tongue images under different illumination conditions has been proposed. The captured values under different illumination conditions and their reference values of 24 patches in the Munsell colorchecker are respectively considered as the input and the output. The mapping model between the input and the output is established by using the K PLSR method in the device independent CIE LAB color space. The mapping model is then applied to correct the captured tongue images. Experimental results show that, using the proposed method, the average color difference of each color patch is only 0.821 after correction. For the subjective results, tongue images under different illumination conditions can obtain consistent correction results, which is beneficial for subsequent standardized tongue image storage and automatic analysis in tongue diagnosis of TCM. Compared with the most commonly used polynomial based correction method and support vector regression based correction method, whether for the subjective or objective evaluation, the proposed method can obtain a superior color correction performance.
A comparative study on the contour tracking algorithms in ultrasound tongue images with automatic re initialization.
Venue: The Journal of the Acoustical Society of America

The feasibility of an automatic re initialization of contour tracking is explored by using an image similarity based method in the ultrasound tongue sequences. To this end, the re initialization method was incorporated into current state of art tongue tracking algorithms, and a quantitative comparison was made between different algorithms by computing the mean sum of distances errors. The results demonstrate that with automatic re initialization, the tracking error can be reduced from an average of 5 6 to about 4 pixels, a result obtained by using a large number of hand labeled frames and similarity measurements to extract the contours, which results in improved performance.
Classification of Tongue Images Based on Doublet SVM
Venue: 2016 International Symposium on System and Software Reliability (ISSSR)

Tongue diagnosis is one of the main components of traditional Chinese medicine (TCM) Developing an objective and quantitative recognition model is very importantly and useful in the modernization of TCM. Currently, major problems in digital diagnoses of tongue images are extracting suitable features and building a high performance classifier. To address these two issues, we present a robust approach to infer the pathological characteristics. In contrast to other methods, this method makes full use of the local information of tongue images and similarities among tongue images. Our method includes the following three steps: (1) we exact HOG features based on theory of local object appearance and shape; (2) the most similar tongue images are found that belongs to the same label and belongs to the different label, which are then used to build a new sample for Doublet; (3) we calculate the distance metric M by the SVM classifier and doublets; and (4) we make prediction. Experimental results show that prediction accuracy of our method is 89.1% and achieves a specificity of 61.3% Moreover, the Sensitivity is 95.8% The work is helpful in the area of medical for detection and prevention of diseases.
Classification of tongue images based on doublet and color space dictionary
Venue: 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Recently, pathological diagnosis plays a crucial role in many areas of medicine, and some researchers have proposed many models and algorithms for improving classification accuracy by extracting excellent feature or modifying the classifier. They have also achieved excellent results on pathological diagnosis using tongue images. However, pixel values can't express intuitive features of tongue images and different classifiers for training samples have different adaptability. Accordingly, this paper presents a robust approach to infer the pathological characteristics by observing tongue images. Our proposed method makes full use of the local information and similarity of tongue images. Firstly, tongue images in RGB color space are converted to Lab. Then, we compute tongue statistics information. In the calculation process, Lab space dictionary is created at first, through it, we compute statistic value for each dictionary value. After that, a method based on Doublets is taken for feature optimization. At last, we use XGBOOST classifier to predict the categories of tongue images. We achieve classification accuracy of 95.39% using statistics feature and the improved classifier, which is helpful for TCM (Traditional Chinese Medicine) diagnosis.
Biometric Applications of Tongue Images

The human tongue assurances to deliver a level of uniqueness to identification submissions that other biometrics cannot contest in circumstance of that it is well protected in mouth and is hard to falsify. The tongue also presents both geometric outline information and physiological texture information which are hypothetically useful in identity verification applications like bank. An important anxiety in the expansion of such applications however is to avoid refusing valid users or approving pretenders. Tongue biometric can purpose an exceptionally trustworthy means for individual identification and act as a universal biometric in all solicitations. This paper demonstrates the detailed extraction process and use of the obtained image in tongue database and public systems.
Laser textile design: the development of laser dyeing and laser moulding processes to support sustainable design and manufacture

This research developed new creative opportunities for textile design by investigating CO2 laser processing technology to achieve surface design and three dimensional effects. A practice based and interdisciplinary textile design methodology was employed, integrating scientific and technical approaches with a reflective craft practice. It was found that the synthesis of design and science was imperative to achieving the research goal of evolving techniques that have opened new design opportunities for textile design whilst being viable and communicable for industrial and commercial application. Four distinct Laser Textile Design techniques were developed in this research including: a laser enhanced dyeing technique for wool and wool blends; Peri Dyeing, a laser dye fixation technique; a laser moulding technique; and a laser fading linen technique.
Solar Alignments of the Planning of Angkor Wat Temple Complex

This paper is discussing some solar alignments that can be observed in the planning of the Angkor Wat temple complex in Cambodia. This complex was originally constructed in the early 12th century as a Hindu temple for the Khmer Empire and gradually transforming into a Buddhist temple. To illustrate the solar alignments we use SunCalc.net software and Photographer s Ephemeris on Google Earth satellite images.
Neomarica sergipensis sp. nov. (Trimezieae Iridaceae) from the Brazilian Atlantic Forest

A new species of Neomarica from the Brazilian Atlantic Forest is described and illustrated. Neomarica sergipensis A. Gil M.C.E. Amaral sp. nov. (Trimezieae, Iridoideae, Iridaceae) grows in restinga forests (forests on the coastal plains dominated by sandy soils) in the state of Sergipe, northeastern Brazil. The new species resembles Neomarica northiana, especially due to the white flowers with the basal third of the tepals yellow and covered by brown maculae, but differs by the inner tepals of with the center of the apical third is tinted violet to purple, yellow stigmatic crests with fimbriate to erose margins, and the endemic occurrence in Sergipe.
Thisbe silvestre sp. nov. (Lepidoptera: Riodinidae) a new myrmecophilous butterfly from the Brazilian Atlantic Forest

This paper describes a new species of Thisbe Hubner from the Atlantic Forest of south eastern Brazil. Both adult and immature morphology are described and illustrated, and the natural history, behaviour and symbiotic interactions with ants (myrmecophily) are documented. This new species, T. silvestre sp. nov. is known only from the type locality at Parque Nacional do Caparao, Minas Gerais state, Brazil. Due to the isolation of the known population, specialised host plant use, restricted geographic distribution and high degree of specificity in a vulnerable habitat, T. silvestre is considered threatened. Thus, monitoring this population is urgently needed, as well as the search for other populations of this butterfly in potential localities in order to evaluate its conservation status.
A taxonomy of behaviour change methods: an Intervention Mapping approach
Venue: Health psychology review

In this paper, we introduce the Intervention Mapping (IM) taxonomy of behaviour change methods and its potential to be developed into a coding taxonomy. That is, although IM and its taxonomy of behaviour change methods are not in fact new, because IM was originally developed as a tool for intervention development, this potential was not immediately apparent. Second, in explaining the IM taxonomy and defining the relevant constructs, we call attention to the existence of parameters for effectiveness of methods, and explicate the related distinction between theory based methods and practical applications and the probability that poor translation of methods may lead to erroneous conclusions as to method effectiveness. Third, we recommend a minimal set of intervention characteristics that may be reported when intervention descriptions and evaluations are published. Specifying these characteristics can greatly enhance the quality of our meta analyses and other literature syntheses. In conclusion, the dynamics of behaviour change are such that any taxonomy of methods of behaviour change needs to acknowledge the importance of, and provide instruments for dealing with, three conditions for effectiveness for behaviour change methods. For a behaviour change method to be effective: (1) it must target a determinant that predicts behaviour; (2) it must be able to change that determinant; (3) it must be translated into a practical application in a way that preserves the parameters for effectiveness and fits with the target population, culture, and context. Thus, taxonomies of methods of behaviour change must distinguish the specific determinants that are targeted, practical, specific applications, and the theory based methods they embody. In addition, taxonomies should acknowledge that the lists of behaviour change methods will be used by, and should be used by, intervention developers. Ideally, the taxonomy should be readily usable for this goal; but alternatively, it should be clear how the information in the taxonomy can be used in practice. The IM taxonomy satisfies these requirements, and it would be beneficial if other taxonomies would be extended to also meet these needs.
An innovative approach combining Animal Performances, nutritional value and sensory quality of meat.
Venue: Meat science

This work sets out a methodological approach to assess how to simultaneously control together Animal Performances, nutritional value, sensory quality of meat. Seventy one young bulls were characterized by 97 variables. Variables of each element were arranged into either 5 homogeneous Intermediate Scores (IS) or 2 Global Indices (GI) via a clustering of variables and analysed together by Principal Component Analysis (PCA) These 3 pools of 5 IS (or 2 GI) were analysed together by PCA to established the links existing among the triptych. Classification on IS showed no opposition between Animal Performances and nutritional value of meat, as it seemed possible to identify animals with a high butcher value and intramuscular fat relatively rich in polyunsaturated fatty acids. Concerning GI, the classification indicated that Animal Performances were negatively correlated with sensory quality. This method appeared to be a useful contribution to the management of animal breeding for an optimal trade off between the three elements of the triptych.
On surface synthesis of graphene nanoribbons with zigzag edge topology
Venue: Nature

Graphene based nanostructures exhibit electronic properties that are not present in extended graphene. For example, quantum confinement in carbon nanotubes and armchair graphene nanoribbons leads to the opening of substantial electronic bandgaps that are directly linked to their structural boundary conditions. Nanostructures with zigzag edges are expected to host spin polarized electronic edge states and can thus serve as key elements for graphene based spintronics. The edge states of zigzag graphene nanoribbons (ZGNRs) are predicted to couple ferromagnetically along the edge and antiferromagnetically between the edges, but direct observation of spin polarized edge states for zigzag edge topologies including ZGNRs has not yet been achieved owing to the limited precision of current top down approaches. Here we describe the bottom up synthesis of ZGNRs through surface assisted polymerization and cyclodehydrogenation of specifically designed precursor monomers to yield atomically precise zigzag edges. Using scanning tunnelling spectroscopy we show the existence of edge localized states with large energy splittings. We expect that the availability of ZGNRs will enable the characterization of their predicted spin related properties, such as spin confinement and filtering, and will ultimately add the spin degree of freedom to graphene based circuitry.
Fabrication of carbon nanorods and graphene nanoribbons from a metal organic framework.
Venue: Nature chemistry

One and two dimensional carbon nanomaterials are attracting considerable attention because of their extraordinary electrical, mechanical and thermal properties, which could lead to a range of important potential applications. Synthetic processes associated with making these materials can be quite complex and also consume large amounts of energy, so a major challenge is to develop simple and efficient methods to produce them. Here, we present a self templated, catalyst free strategy for the synthesis of one dimensional carbon nanorods by morphology preserved thermal transformation of rod shaped metal organic frameworks. The as synthesized non hollow (solid) carbon nanorods can be transformed into two to six layered graphene nanoribbons through sonochemical treatment followed by chemical activation. The performance of these metal organic framework derived carbon nanorods and graphene nanoribbons in supercapacitor electrodes demonstrates that this synthetic approach can produce functionally useful materials. Moreover, this approach is readily scalable and could be used to produce carbon nanorods and graphene nanoribbons on industrial levels.