nils-herrmann/clean_scirepeval huggingface dataset:
Machining of Bone and Hard Tissues

This book provides an in depth review of state of the art orthopaedic techniques and basic mechanical operations (drilling, boring, cutting, grinding/milling) involved in present day orthopaedic surgery. Casting a light on exploratory hybrid operations, as well as non conventional techniques such as laser assisted operations, this book further extends the discussion to include physical aspects of the surgery in view of material (bone) and process parameters. Featuring detailed discussion of the computational modeling of forces (mechanical and thermal) involved in surgical procedures for the planning and optimization of the process/procedure and system development, this book lays the foundations for efforts towards the future development of improved orthopaedic surgery. With topics including the role of bone machining during surgical operations; the physical properties of the bone which influence the response to any machining operation, and robotic automation, this book will be a valuable and comprehensive literature source for years to come
Integrated optimization model for cutting data selection based on maximal MRR and tool utilization in continuous machining operations

The search for increased productivity can be interpreted as the increase of material removal rate (MRR) Namely, increase of feed, depth of cut and/or cutting speed. The increase of any of these three variables, will increase the tool wear rate; therefore decreasing its tool life according to the same tool life criteria. This paper proposes an integrated model for efficient selection of cutting data for maximal MRR and maximal tool utilization. The results show that, it is possible to obtain a limited range of cutting parameters from where the CAM Programmer can select the cutting data assuring both objectives.
The green construction site index (GCSI) a quantitative tool used to assess an ongoing project to meet the green construction concept

The development of the construction industry in Indonesia has been substantially contributing to the enhancement of the social and economic development of the people. However, its expansion has also become an issue, as the development might be implicated in the abuse of environmental sustainability when the practices of conducting the construction project abandon the rules and regulations of sustainable green construction concepts. Therefore, this study attempted to introduce a quantitative assessment tool called the Green Construction Site Index (GCSI) to evaluate the performance of an ongoing project to meet the sustainable green construction concept. The aim of this study was to investigate the effectiveness of GCSI as a quantitative assessment tool to measure the implementation of the green construction concept conducted by ongoing projects. Data were collected by onsite direct observation, interviews with key personnel, and project documentation review. Data were organized and analyzed using descriptive elaboration. The results showed that three aspects, the Efficiency Index (IE) Productivity Index (IP) and Awareness Index (IA) were effective in assessing 10 ongoing construction projects, categorized as Non Commercial Non Residential Building, Commercial Residential Building, and Commercial Non Residential Building. The index generated using GCSI, upon assessing 10 buildings, was 3.39 and fell into the Good category with IE 3.51, IP of 2.86, and IA 3.84. Another finding shows that the Project Organizational Commitment Index (POCI) to the indicator of the GCSI was 3.31 (Good category) with IPOL 3.36, IPRO 3.49, and IPRAC 2.75. The capability of the GCSI to identify three aspects within a construction project simultaneously and comprehensively suggests the importance of its function as an effective tool that gives benefits to not only the contactors, but also to the authorities that control the green construction related performance. Therefore, the GCSI is expected to be applied as a standardized reference by both the construction industries and regulating authorities. Despite its satisfactory findings, the GCSI needs to be furthered to achieve its reliability and validity to be adopted internationally.
An Investigation on Green Supply Chain Management in the Construction Sector within Maharashtra

Aim of doing this project stems from the belief that there is an urgent need to introduce environmental thinking into supply chain management. The supply chain consists of those motions associated with manufacturing from raw material obtainment to final product delivery. Under the scenery of globalization, Green supply chain management (GSCM) is identified as direct and effective mechanism to address environmental problems along the global value chain, But there are many drivers as well as barriers' which affects directly and indirectly in the implementation of this in an organization. GSCM not only advances environmental performance but also helps reduce cost improves efficiency and speeds up innovation. The aim of this paper is to briefly review the recent literatures on GSCM and study the drivers and challenges that the construction sector in India is experiencing for its implementation. Innovative sustainable ideas can help organizations become profitable while helping the environment and simultaneously establish long term buyer supplier relationships.
Luminescent Metal Nanoclusters with Aggregation Induced Emission.
Venue: The journal of physical chemistry letters

Thiolate protected metal nanoclusters (or thiolated metal NCs) have recently emerged as a promising class of functional materials because of their well defined molecular structures and intriguing molecular like properties. Recent developments in the NC field have aimed at exploring metal NCs as novel luminescent materials in the biomedical field because of their inherent biocompatibility and good photoluminescence (PL) properties. From the fundamental perspective, recent advances in the field have also aimed at addressing the fundamental aspects of PL properties of metal NCs, shedding some light on developing efficient strategies to prepare highly luminescent metal NCs. In this Perspective, we discuss the physical chemistry of a recently discovered aggregation induced emission (AIE) phenomenon and show the significance of AIE in understanding the PL properties of thiolated metal NCs. We then explore the unique physicochemical properties of thiolated metal NCs with AIE characteristics and highlight some recent developments in synthesizing the AIE type luminescent metal NCs. We finally discuss perspectives and directions for future development of the AIE type luminescent metal NCs.
Secure transmission with artificial noise in millimeter wave systems
Venue: 2016 IEEE Wireless Communications and Networking Conference

The use of millimeter wave is an effective way to meet the data traffic demand of the 5G wireless communication system. For the new propagation characteristics of millimeter wave, in this paper, we study the secure transmission with artificial noise under slow fading channels considering multipath propagation in millimeter wave systems. Firstly, when partial eavesdropper's channel state information is known at the transmitter, an artificial noise transmission strategy which depends on directions of the destination's and the eavesdropper's propagation paths is proposed. Then we analyze the secrecy outage probability (SOP) through an on off transmission scheme. Furthermore, we minimize the SOP subject to a secrecy rate constraint and derive a closed form optimal power allocation between the information bearing signal and artificial noise. Numerical results are provided to show the superiority of the proposed scheme.
Optimal Semiadaptive Transmission With Artificial Noise Aided Beamforming in MISO Wiretap Channels
Venue: IEEE Transactions on Vehicular Technology

This paper studies the design of artificial noise aided (AN aided) secure transmission in slow fading multiple input single output (MISO) channels. We consider the scenario where a multiantenna transmitter sends messages to a single antenna legitimate receiver in the presence of multiple noncolluding single antenna eavesdroppers. It is assumed that the transmitter possesses instantaneous channel state information (CSI) of the legitimate channel but only the statistics of the eavesdropper's channels. Instead of adopting the well known adaptive and nonadaptive transmission schemes, we consider the newly proposed semiadaptive scheme, in which the communication rate is fixed, and the secrecy rate is adaptively adjusted according to the legitimate channel's CSI. Compared with the adaptive scheme, a major advantage of fixing the communication rate is that the codebook can be fixed, and thus, the encoder and decoder designs are both simplified. We consider a generalized AN aided beamforming structure, which allows arbitrary beamforming direction. Specifically, we focus on the problem of maximizing the secrecy throughput on the premise of reliable and secure transmission. By solving this problem, the optimal beamforming direction, power allocation parameters, and secrecy rate are derived in closed form, and the optimal communication rate is obtained numerically. Finally, simulation results are presented to show the performance of the semiadaptive scheme.
Sociolinguistics and English Teaching in China

As a wide ranging inter discipline which rose in the 1960s, sociolinguistics takes language as a part of society and culture and explores how to relate the rules of language with social factors as its basic task. At the same time, its theories and practices are not only an important supplement and development for linguistics, but also very important for theories and practices of foreign language teaching. The foreign language teaching must pay attention to the cultivation of students' communicative ability. However, foreign language teaching in China has ignored the communicative ability with only paying attention to the language form for a long time. The paper is intended to analyze the reasons why sociolinguistics encounters so many obstacles in English teaching in China and the existing problems of China's foreign language teaching to help the readers have a better understanding of the application of sociolinguistics in China's English teaching.
The effect of ethyl acetate extract from persimmon leaves on Alzheimer's disease and its underlying mechanism.
Venue: Phytomedicine international journal of phytotherapy and phytopharmacology

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders characterized by neuronal loss in the brain and cognitive impairment. AD is now considered to be the third major cause of death in developed countries, after cardiovascular disease and cancer. Persimmon leaves are used as a popular folk medicine to treat hypertension, angina and internal haemorrhage in Cyangbhina, and it has been reported that ethyl acetate extract of persimmon leaves (EAPL) displays a potential therapeutic effect on neurodegenerative diseases.  This study was designed to investigate the effects of EAPL on AD, to clarify the possible mechanism by which EAPL exerts its beneficial effects and prevents AD, and to determine the major constituents involved.  AD model was established by bilateral injection of Ab1 42 into the hippocampus of rats. The cognitive performance was determined by the Morris water maze and step down tests. Superoxide dismutase (SOD) glutathione peroxidase (GSH Px) malondialdehyde (MDA) apoptosis, total and phosphorylated c Jun NH2 terminal kinase (JNK/p JNK) caspase 3, Bax and Bcl 2 were determined. In addition, a sensitive and reliable LC QTOF MS method was applied to identify the major compounds present in EAPL.  EAPL at doses of 200mg/kg, 400mg/kg could markedly reduce the latency, significantly increase the time in the first quadrant and number of the target crossing times in Morris water maze test, markedly increase the latency and reduce the number of errors in the step down test, significantly inhibit the reductions in SOD and GSH Px activities, and increase the level of MDA. In addition, EAPL treatment attenuated neuronal apoptosis in the hippocampus, reduced the expression of p JNK, caspase 3, and the relative ratio of Bax/Bcl 2. Meanwhile, 32 constituents were identified by LC QTOF MS/MS assays.  The results indicate that EAPL has a potent protective effect on cognitive deficits induced by Ab in rats and this effect appears to be associated with the regulation of the antioxidative defense system and the mechanism of mitochondrial mediated apoptosis. Furthermore, analysis of the LC MS data suggests that flavonoids and triterpenoids may be responsible for the potential biological effects of EAPL.
Duo VIO: Fast, light weight, stereo inertial odometry
Venue: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

We present a Visual Inertial Odometry system that enables the autonomous flight of Micro Aerial Vehicles in GPS denied and unstructured environments. The system relies on commercially available and affordable hardware both for sensing and computation. The algorithm runs in real time on an ARM based embedded micro computer on board an MAV. In experiments, we demonstrate the performance of the system both indoors and outdoors, in hand held an in flight scenarios. The achieved accuracy of the experiments is competitive with other research which uses custom designed hardware and desktop grade processors.
Online relationship marketing and affective customer commitment The mediating role of trust

The pervasive use of information technology has implications for consumer relationship management among financial services organisations. There is a need for increased understanding of how digital channels might influence the development and maintenance of firm customer relationships and in particular the role of the Internet upon commitment and trust outcomes. Thus, this research aims to determine the relationship between online relationship marketing practices and affective customer commitment, and how this relationship is mediated by online channel trust. Data were collected from 200 online retail bank customers and Structural Equation Modelling was used to test the impact of five key online relationship marketing practices on affective commitment, and how trust mediates these relationships. We found that advocacy and collaboration have a direct relationship with affective commitment, while trust mediates the influence of engagement and personalisation on affective commitment. The article highlights the significance of trust in technology when using online channels to build customer relationships.
The stickiness intention of group buying websites: The integration of the commitment trust theory and e commerce success model
Venue: Inf. Manag.

The success of consumer to business (C2B) group buying websites (GBWs) relies heavily on consumers' relationships with the GBWs, a topic not yet adequately investigated in the existing literature. In addition, there is a transition from the technical and/or transactional views in e commerce studies to a relational view. However, such studies have focused on business to consumer contexts. By integrating the e commerce success model and commitment trust theory, we developed a model of GBW stickiness, which is examined using data collected from 280 GBW users. The results indicated that relationship commitment, trust, and satisfaction were key determinants of stickiness intention. Theoretical and practical implications are also discussed.
E retailing ethics and its impact on customer satisfaction and repurchase intention: A cultural and commitment trust theory perspective
Venue: Internet Res.

The theoretical understanding of online shopping behaviour has received much attention. Less focus has been given to online retailing ethics. Therefore, the purpose of this paper is to develop and test a comprehensive model of online retailing ethics.  The study used a survey amongst a sample representative of universities across Egypt. In total, 310 questionnaire were collected and analysed using structure equation modelling using WarpPLS.  The results indicate that the consumer perceptions of online retailing ethics (CPORE) as a second order construct is composed of five constructs (security, privacy, non deception, fulfilment/reliability, and service recovery) and strongly predictive of online consumer satisfaction. Furthermore, the authors find a significant mediating effect of trust, and commitment on the relationship between CPORE and customer satisfaction. The results also show that individualism had moderate effects on the relationship between CPORE.
Beyond simple models of adolescence to an integrated circuit based account: A commentary
Venue: Developmental Cognitive Neuroscience

A hallmark of behavioral development is the increasing ability o suppress inappropriate, competing thoughts, desires, emotions nd actions in favor of appropriate ones (i.e. self control) One evelopmental phase that has received much attention in recent ears is that of adolescence, due in part to the significant brain hanges of this period (Lee et al. 2014) and also to the heightened isk for psychopathology and criminally relevant behaviors (Casey t al. 2015; Cohen and Casey, 2014) Two interesting articles in his issue, by Shulman and colleagues and Nelson and colleagues, eview the developmental science literature and describe potential odels for understanding adolescent behavioral and brain develpment focusing largely on the importance of incentives and social nfluences, respectively, during adolescence. A number of theoretical models have emerged to explain chalenges to self control during the period of adolescence. Historically hey have been described in the form of dichotomies with G. Stanley all claiming the inevitable storm and stress of adolescence while ultural anthropologist (Hall, 1904) Margaret Mead, argued for the mportance of the environment (Mead, 2004) Another dichotomy eviewed by Shulman and colleagues in this issue is that proposed y the dual systems model of adolescence that emphasizes diverent trajectories of motivational versus cognitive control systems, ased largely on psychological findings. This model has provided erhaps the greatest traction for conveying developmental scienific findings in an accessible way to inform age related social and egal policies (Steinberg, 2009) However, heuristic accounts can ead to oversimplifications of the science and failure to capture suble complexities of behavior. A move away from simple dichotomies ay enhance our understanding for how self control varies by conent (i.e. actions, emotions or desires to be suppressed) and by ontext (e.g. alone, with parent, with peer or strangers) during adoescence. Similar advances have been made with the move away rom the nature vs nurture dichotomy toward the more nuanced ecognition that genetic and environmental factors are inherently ntertwined. The environment can impact expression of genes,
Reverse Engineering of DRAMs: Row Hammer with Crosshair
Venue: MEMSYS

In this paper we present a technique that reconstructs the physical location of memory cells in a Dynamic Random Access Memory (DRAM) without opening the device package and microscoping the device. Our method consists of an retention error analysis while a temperature gradient is applied to the DRAM device. This enables the extraction of the exact neighborhood relation of each single DRAM cell, which can be used to accomplish Row Hammer attacks in a very targeted way. However, this information can also be used to enhance current DRAM retention error models.
A CBIR classification using support vector machines
Venue: 2016 International Conference on Advances in Human Machine Interaction (HMI)

Content Based Image Retrieval (CBIR) is a developing trend in Digital Image Processing for searching and retrieving the query image from wide range of databases. Conventional content based image retrieval (CBIR) schemes have following limitations: 1. It is slow 2. difficult to label negative examples; 3. Accuracy is poor in a single step; 4. users may introduce some noisy examples into the query. This inturn explores solutions to a new issue that image retrieval using unclean positive examples. This paper proposes a new two step strategy in which first step is feature extraction using low level features (color, shape and texture) while SVM classifier is used in the second step to handle the noisy positive examples. Thus, an efficient image retrieval algorithm based on color correlogram for color feature extraction, wavelet transformation for extracting shape features and Gabor wavelet for texture feature extraction is proposed. Further, multiple features and different distance metrics are combined to obtain image similarity using SVM classifier. Results based on this approach are found encouraging in terms of color, shape and texture image classification accuracy. After the features are selected, an SVM classifier[4] is trained to distinguish between relevant and irrelevant images accordingly.
School Leadership for Learning Insights from TALIS 2013

Instructional and distributed leadership are regarded as important for creating and sustaining professional learning communities and for creating a climate conducive to student learning. Instructional leadership comprises leadership practices that involve the planning, evaluation, co ordination and improvement of teaching and learning. Distributed leadership in schools is not only a reflection of leadership being shown by the principal, but also of others acting as leaders in school. Four types of leaders and leadership are identified in this study, based on their instructional and distributed leadership, as well as their involvement in educational activities with their school. The first type "integrated leadership" refers to principals who are attentive to both instructional and distributed leadership in their schools and spend considerable time on curriculum and teachingrelated tasks in their school. "Inclusive leaders" engage staff, students and their parents or guardians in the decisions at school, but relatively less often take up a role as instructional leaders and spend less time on curriculum and teaching related tasks in school. "Educational leaders" are strongly engaged in instructional leadership, but much less in involving stakeholders in the decisions at school. "Administrative leadership" refers to principals who spend a large portion of their time on school management and administrative issues and are, as a result, less engaged in distributed and instructional leadership activities than integrated leaders. Further on, this study examines how these leadership types relate to the establishment of professional learning communities and a learning climate in schools. At the core of the emphasis on professional learning communities is the idea that knowledge is situated in the day to day experiences of teachers and is best understood through critical reflection with others who share the same experience. Moreover, teachers who actively engage in professional learning communities will be able to increase their professional knowledge, which might lead to the enhancement of student learning. In this study, professional learning communities are characterised by a reflective dialogue among staff, deprivatisation of practice, a collective focus on student learning, collaboration and a shared sense of purpose. "Learning climate" refers to the establishment of an orderly climate for learning and positive teacher student relationships within the school. The findings in this report are based on the data of the OECD Teaching and Learning International Survey (TALIS) 2013.