Miracle-dz/UniFAR-FTUs huggingface dataset:
Network Synchronization Coding for Wireless Sensor Network Device

Wireless sensor networks are emerging at faster rate in practical industrial applications. During the communication process the packets are transferred via wireless media. The precision of data transferred is dependent on the synchronization approach followed. However in case on wireless sensor network where the devices are located at different range, processing variant of measured data, the Precision Clock Synchronization Protocol for distributed Network and Control operation is needed . The IEEE802.3is defined as the communication standard in such network. In this standard the protocol is defined for clock synchronization based on link to link synchronization. However in distributed network It isrequired to enable accurate synchronization of clocks with varying precision, resolution and oscillator stability in a distributed manner. In this paper a synchronization approach based on a hierarchical synchronization process of master and slave principal. Keyword Clock synchronization, distributed system, data precision, wireless sensor network, master-slave hierarchical synchronization.
Fatness Beef Cattle Purchase Transactions Study in a Abattoir Firm in the Rio Grande Do Sul State

The objective of this study is to describe the frequency of the process of buying fat cattle at a meat packing company the state of Rio Grande do Sul state at 2012 year. Was studied the purchase of 121,960 animals, divided into 3,720 lots, involving bulls and females for slaughter. Analyzing the marking periods that occur the purchase of animals was evident biggest difference in the time between the purchase and shipment of animals occur in October/November period (difference of 7.02 days) and the smallest difference occur in February/March (difference of 4.51 days). Other period of difficulty purchases, represented by days from purchase to boarding to slaughter, were December/January (5.28 days) and April/May (5.54 days) periods. It concludes with the work that there are clear changes in beef cattle trading conditions in response to supply and demand laws of this commodity.
Postharvest management of fruits and vegetable: A potential for reducing poverty, hidden hunger and malnutrition in sub-Sahara Africa

Abstract Fruits and vegetable (FV) production is an emerging horticulture sub-sector in sub-Sahara Africa (SSA) despite the fact that, almost one-third of the produced FV is lost before reaching the plate. FV postharvest losses in SSA range from 30 to 80%, depending on a crop. Lack of postharvest management skills and technology such as temperature control to maintain the cold chain, value addition, and packaging have caused several economic and food security setbacks among them are high levels of poverty, hidden hunger and malnutrition. Globally, applications of postharvest technologies for instance; use of ethylene, 1-methylcyclopropene (1-MCP) and temperature management has proved to reduce postharvest losses of FV. Also, chemical and non-chemical methods are useful for controlling spoilage and pathogenic microbes especially on ready to eat FV products. Postharvest technologies such as controlled ripening, edible coating, temperature management, and chemical treatment methods are potential tools to reduce FV postharvest losses, increase food and nutritional security and alleviate poverty in SSA. At the same time, sanitizing chemicals and pesticides malpractice should be avoided to ensure final consumer safety.
Estimation from truncated lifetime data with supplementary information on covariates and censoring times

SUMMARY In epidemiology, reliability and other areas one encounters situations where response times and covariates for individuals in a population are observed only if the response time does not exceed an associated censoring time. Methods for obtaining supplementary information about covariates and censoring times for nonresponding individuals are considered. Estimation procedures are developed for the resulting combination of truncated data and supplementary data. Theoretical and simulation results are given, and the methodology illustrated on some automobile failure data collected under a warranty plan.
ANALYSIS AND APPLICATION OF SHUNT OPEN STUBS BASED ON ASYMMETRIC HALF-WAVELENGTH RESONATORS STRUCTURE

In this paper, the applications of shunt open stubs are reported based on asymmetric half-wavelength resonators structure. To demonstrate the design ideas, the analysis methods of ABCD matrix and equivalent circuit are used. The multi-band bandpass, miniaturization and harmonic suppression by application of the shunt open stubs are demonstrated. The measured insertion loss of the dual-band fllter with the center frequency of 1.9 and 5.8GHz is less than 2.7dB. The insertion loss of the tri-band fllter with the center frequency of 1.5, 4 and 6.3GHz is less than 2.7dB. Furthermore, a compact bandpass fllter with size around 12:3mm⁄11:5mm is designed and fabricated. The bandwidth of the fllter is 120MHz with the center frequency of 2.4GHz and the insertion loss is less than i3dB. Especially, the insertion loss is less than i20dB from 2.8GHz to 7GHz. For the fllters above, the simulated results and the measured results agree well.
A Cooperative Spectrum Sensing Method based on Eigenvalue and Superposition for Cognitive Radio Networks

Cooperative spectrum sensing can improve sensing reliability, compared with single node spectrum sensing. In addition, Eigenvalue-based spectrum sensing has also drawn a great attention due to its performance improvement over the energy detection method in which the more smoothing factor, the better performance is achieved. However, the more smoothing factor in Eignevalue-based spectrum sensing requires the more sensing time. Furthermore, more reporting time in cooperative sensing will be required as the number of nodes increases. Subsequently, we in this paper propose an Eigenvalue and superposition-based spectrum sensing where the reporting time is utilized so as to increase the number of smoothing factors for autocorrelation calculation. Simulation result demonstrates that the proposed scheme has better detection probability in both local as well as global detection while requiring less sensing time as compared with conventional Eigenvalue-based detection scheme.
Management of Hypercalcemia of Malignancy

Malignancy is one of the most common causes of hypercalcemia, particularly in cancer associated with bone metastases. Hypercalcemia occurs in up to 20% to 30% of cancer patients at some time during the course of their disease. Clinical manifestations of hypercalcemia vary in calcium level in blood. Signs and symptoms of hypercalcemia occur when the serum calcium level rises above those ranges. Fluids are first-line treatment with hypercalcemia followed by bisphosphanates if the calcium is high and the patient is experiencing symptoms. Various other medications are used as second-line agents in hypercalcemia of malignancy.
Interaction range dependency of flexible polymer structural phases

We investigate the influence of the interaction range of non-bonded monomers in an elastic, flexible polymer, upon formation of structural phases. Massively parallel replica-exchange simulations of a generic, coarse-grained polymer model, enable the construction of the structural phase diagram, by means of microcanonical statistical analysis. Multiple solid phases, a liquid phase, and a gas-like phase can be identified. We find evidence for finite-size effects that cause the crossover of “collapse” and “freezing” transitions for very short interaction ranges.
On the Ruin Problem with Investment When the Risky Asset Is a Semimartingale

In this paper, we study the ruin problem with investment in a general framework where the business part X is a Levy process and the return on investment R is a semimartingale. We obtain upper bounds on the finite and infinite time ruin probabilities that decrease as a power function when the initial capital increases. When R is a Levy process, we retrieve the well-known results. Then, we show that these bounds are asymptotically optimal in the finite time case, under some simple conditions on the characteristics of X. Finally, we obtain a condition for ruin with probability one when X is a Brownian motion with negative drift and express it explicitly using the characteristics of R.
Information Sharing as a Collaboration Mechanism in Supply Chains

Sharing information is regarded as one of the most effective ways of improving supply chain (SC) performance. However, the implementation of SC information sharing in practice is challenging. Effective information sharing across organizations with different objectives and perspectives means sharing the right information, at the right level of detail, using the right language, at the right time, in the right context, with the right people. A failure related to any one of these factors can lead to an information sharing breakdown. This paper introduces information sharing as an essential activity in all SC collaborative work. Since the scope of information sharing varies widely in the literature, the focus of this paper will be on how the absence of information sharing (i.e. asymmetric information) may affect the SC and how SC information sharing can be defined in terms of what, to whom and how information is shared, with an emphasis on the benefits and challenges of SC information sharing. Keywords: supply chains- asymmetric information- information sharing.
THE INFLUENCE OF V DIAGRAM PROCEDURAL SCAFFOLDING IN GROUP INVESTIGATION TOWARDS STUDENTS WITH HIGH AND LOW PRIOR KNOWLEDGE

The learning achievement of high school students of Malang city in physics was still low, thus the appropriate learning strategies was necessaryto optimize the physics learning achievement. V diagram procedural scaffoldingin Group Investigation was designed with the aim to optimize student learning achievement. The purpose of this study was to examine differences in learning achievement of groups of students who learn through Scaffolding Procedural strategies in Group Investigation and groups of students who are studying with Group Investigation, to examine differences in student achievement between thosewith high and low prior knowledge levels, and to examine the interaction between learning strategies (procedural scaffolding in GI and GI) and initial knowledge of students towardlearning achievement. The method used in this study wasquasi-experimental.The design used in this study was Two Factorial Design consisted of two experimental classes and two control classes each. The results indicated that learning achievement group of students who learn through proceduralscaffolding in Group Investigation was higher than the group of students who are studying with Group Investigation. The learning achievements of students with high prior knowledge surpassed those with low prior knowledge. Last, there was an interaction between the learning strategies and prior knowledge of students toward learning achievement.
SOCIAL - A GROUP CHECK TOOL

Despite the fact that recreationists in avalanche terrain usually travel in groups empirical research on group phenomena is still sparse. We propose a group check tool based on relevant literature from avalanche safety research but also on existing concepts from sociology and social psychology. Important additional input on content and form of the tool was given by a focus group discussion of the Swiss Snow Sport Avalanche Accident Prevention core training team. The resulting group check tool SOCIAL summarizes the most important group factors: Skills of group members should be in accordance with the demand of the trip; Organization should set course for basic group characteristics such as group size and roles of group members; Communication is THE instrument enhancing group performance; Identification of group members with trip goals, expectations and decisions taken; one should always screen for Anomalies in group behavior like risky shift or heuristic traps; and finally one should critically question Leadership issues. In analogy to established support tools concerning avalanche risk we assume SOCIAL to reduce the risk of unwanted group effects.
“You Speak English, No?”: The Expectations and Experiences of Asian in-service Teachers of English in Australia

In this era of globalisation, many bilingual teachers of English are pursuing their postgraduate degrees in English-speaking contexts. However, most teacher training programmes concentrate on providing academic qualifications to these in-service teachers of English, while neglecting their expectations and lived experiences outside class. The current study examines this gap by interviewing and emailing Asian in-service teachers of English who were enrolled in a Master of TESOL programme in Australia. It explores how these in- service teachers’ expectations to improve their spoken English influenced their experiences outside class. This study seeks to understand how these in-service teachers developed as users and teachers of English. Findings suggest that when the participants were in Australia, they actively connected their expectations and their pursuit of content knowledge inside class with their experiences outside class. They also exercised agency in order to achieve their expectations of increasing their English proficiency. Moreover, the participants demonstrated how they developed as users and teachers of English through their strategic thinking and actions. The findings of this study suggest that teacher educators and teacher training programmes need to provide support to enhance Asian in- service teachers’ language proficiency, as well as incorporate empowering discourses and different varieties of English into the courses offered.
Alcohol-related Attentional Bias Variability and Conflicting Automatic Associations

Attentional bias variability may be related to alcohol abuse. Of potential use for studying variability is the anticipatory attentional bias: Bias due to the locations of predictively-cued rather than already-presented stimuli. The hypothesis was tested that conflicting automatic associations are related to attentional bias variability. Further, relationships were explored between anticipatory biases and individual differences related to alcohol use. 74 social drinkers performed a cued Visual Probe Task and univalent Single-Target Implicit Associations Tasks. Questionnaires were completed on risky drinking, craving, and motivations to drink or refrain from drinking. Conflict was related to attentional bias variability at the 800 ms Cue-Stimulus Interval. Further, a bias related to craving and risky drinking was found at the 400 ms Cue-Stimulus Interval. Thus, the selection of attentional responses was biased by predicted locations of expected salient stimuli. The results support a role of conflicting associations in attentional bias variability.
Effect of anthropogenic aerosol emissions on precipitation in warm conveyor belts in the western North Pacific in winter – a model study with ECHAM6-HAM

Abstract. While there is a clear impact of aerosol particles on the radiation balance, whether and how aerosol particles influence precipitation is controversial. Here we use the ECHAM6-HAM global climate model coupled to an aerosol module to analyse whether an impact of anthropogenic aerosol particles on the timing and amount of precipitation can be detected in North Pacific warm conveyor belts. Warm conveyor belts are the strongest precipitation-producing airstreams in extratropical cyclones and are identified here with a Lagrangian technique, i.e. by objectively identifying the most strongly ascending trajectories in North Pacific cyclones. These conveyor belts have been identified separately in 10-year ECHAM6-HAM simulations with present-day and pre-industrial aerosol conditions. Then, the evolution of aerosols and cloud properties has been analysed in detail along the identified warm conveyor belt trajectories. The results show that, under present-day conditions, some warm conveyor belt trajectories are strongly polluted (i.e. high concentrations of black carbon and sulfur dioxide) due to horizontal transport from eastern Asia to the oceanic region where warm conveyor belts start their ascent. In these polluted trajectories a weak delay and reduction of precipitation formation occurs compared to clean warm conveyor belt trajectories. However, all warm conveyor belts consist of both polluted and clean trajectories at the time they start their ascent, and the typically more abundant clean trajectories strongly reduce the aerosol impact from the polluted trajectories. The main conclusion then is that the overall amount of precipitation is comparable in pre-industrial conditions, when all warm conveyor belt trajectories are clean, and in present-day conditions, when warm conveyor belts consist of a mixture of clean and polluted trajectories.
Composites Enhanced With Nanocrystalline Cellulose (NCC): A Comparative Study

Palmero [1] defines Nanotechnology as the creation, processing, characterization and utilization of materials, devices and systems with dimensions of the order of 10 – 100 nm, exhibiting novel and significantly enhanced physical, chemical and biological properties, functions, phenomena and processes, due to their nano-scale size. She further differentiates that a nanomaterial has a typical grain size <100 nm, whereas ultrafine-grained materials are characterized by grain size <500 nm. Composites are materials in which the distinct phases are separated on a scale larger than the atomic, and in which properties such as the elastic modulus are significantly altered in comparison with those of a homogeneous material. In this category a “nanocomposite” comprises multiphase materials, where at least one constituent phase has dimension of less than 100 nm. The most important and largely attained organic entity is that of the cellulose which portrays a distinctive variety of nano-sized and micro-sized structures[2]. The pure Cellulose in a crystalline form, with dimensions of the nano size, is termed as Nanocrystalline Cellulose (NCC) which is derived from over a diverse range of natural sources such as cotton, algae, bacteria and wood. This paper summarizes the advances made in NCC technology in terms of its (a) morphology and dimensions (b) its physical and chemical properties (c) surface functionalizing properties (d) applications and (e) the challenges in the use of NCC.
Emission Pattern Control of GaN-Based Light-Emitting Diodes with ZnO Nanostructures

We report a controllable way of changing the emission patterns of GaN-based blue light-emitting diodes (LEDs) using ZnO nanorods (NRs) grown hydrothermally. The shape of the ZnO NRs was controlled using seed layers for flower, askance, and vertical structures. The electrical properties of the LEDs with the ZnO NRs did not degrade, while the integrated electroluminescence intensity increased compared with that of the bare LEDs. The emission patterns of the LEDs were broadened as the inclination angle of the ZnO NRs increased. These are attributed to the ZnO NRs acting a role in scattering and guiding the light wave efficiently.
Comparison Between Native and Non-Native Speech Recognition for Telugu Language

Communication using speech is inherently natural, with this ability of communication unconsciously acquired in a step-by-step manner throughout life. In order to explore the benefits of speech communication in devices, there have been many research works performed over the past several decades. As a result, automatic speech recognition (ASR) systems have been deployed in a range of applications, including automatic reservation systems, dictation systems, navigation systems, etc. Due to increasing globalization, the need for effective interlingual communication has also been growing. However, because of the fact that most people tend to speak foreign languages with variant or influent pronunciations, this has led to an increasing demand for the development of non native ASR systems. In other words, a conventional ASR system is optimized with native speech; however, non-native speech has different characteristics from native speech. That is, non-native speech tends to reflect the pronunciations or syntactic characteristics of the mother tongue of the non-native speakers, as well as the wide range of fluencies among non-native speakers. Therefore, the performance of an ASR system evaluated using non-native speech tends to severely degrade when compared to that of native speech due to the mismatch between the native training data and the nonnative test data. A simple way to improve the performance of an ASR system for non-native speech would be to train the ASR system using a non-native speech database; though in reality the number of non-native speech samples available for this task is not currently sufficient to train an ASR system. Thus, techniques for improving non-native ASR performance using only small amount of non-native speech are required. A new pronunciation modeling method is proposed as a means of improving the performance of non-native speech recognition. In addition, the performance of a non-native ASR system
Library and school partnership on the move - a study of second language learners’ early literacy development

Abstract A study of eight multicultural suburban Swedish classes forms the backdrop of an analysis of the role of the library in students’ development towards becoming skilled readers. In-depth interviews with five teachers and one librarian involved in the classes provide empirical data, even though background information was collected with mixed research methods. The librarian’s narrative is the primary source of data in this article. The children′s educational trajectory from the preschool class to third grade is in focus. The present meta-analysis highlights the role of the library and the librarian, with respect to linkages made to the children’s overall literacy development. As a tool for analysis critical literacy theory was used, thus extending the influence of the librarian′s participation beyond the actual literacy practice, to the surrounding society. The results indicate that the library played a vital role in several ways, for teachers and students as well as for the parents. The collaboration between the librarian and the teachers started with the librarian having book talks with the children. However, she became a participant in the team’s planning and follow-up activities, linking the worlds in and out of school.
High level coordination and decision making of a simulated robotic soccer team

The RoboCup initiative provides several interesting competitions that foster the interest in the robotics and artificial intelligence research. The work described in this thesis focus on one of those competitions – the RoboCup 3D simulation league. Developing a team of humanoid robots capable of playing soccer matches presents several challenges, from biped locomotion, kicking the ball to the coordination of the team. This thesis focused on latter. In order to have a team of cooperating robots, they need to share the same knowledge about the environment (world state). This fact is particularly important in soccer matches due to the dynamic environment of the match where both the players and the ball are constantly moving. First, a communication mechanism was implemented to tackle this problem. With communication, the agents have identical knowledge about the world state and it’s possible to work in non-trivial methods for team coordination. Then, some improvements in the agent’s decision making process are presented. These are based on the use of fluxes that value positions on the field according to the proximity to scoring a goal or keeping the ball away from the team’s goal. After this work, the agents are able to select different decisions other than going directly towards the opponent goal (old approach).