Miracle-dz/UniFAR-FTUs huggingface dataset:
Faculty of Technology Lean Practices in Bangladeshi Textile Industry A Literature Review

Lean manufacturing is a concept of eliminating waste and non-value-added activities or process by using different lean tools or techniques. In developing countries, many organizations are implementing lean production to make a continues improvement in their business process. The aim of this thesis work is to investigate the lean practices and their extent by administrating with several lean manufacturing model case studies in the Bangladeshi textile industries as well as other countries using secondary data and observations. This work discussed the model case industry especially from Bangladesh also India, USA. In the beginning, there has discussed the lean thinking and the origin of lean, principles of lean, different lean tools, the critical success factors and so on. The study shows the potential improvement after lean Implementation by analyzing the production processes of the case industries. The most important findings of this study refer that the selected case industries are implementing a variety of lean tools but mostly in use is Six sigma, Value stream mapping (VSM), 5S, Visual management, Just in time (JIT), Kanban, Kaizen, Poka-yoke, Visual controls and Quality circle to improve their production processes. Also marking out some findings of different kind of benefits that are getting the industries of Bangladesh by implementing lean, some impeding factors, as well as different supporting factors, are also identified.
Compression of Channel State Information in Multiple Input Multiple Output Mobile Systems

The firsts trials of the Fifth generation of wireless networks (5G) are taking place worldwide. A variety of use cases are envisaged, requiring flexible and scalable technologies to meet their key performance indicators. Massive MIMO is a 5G-enabling technology that improves spectral efficiency. To exploit the advantages of MIMO, the transmitter needs to have information about the channel condition (CSI) of each User equipment (UE). 5G is being standardized in Frequency division duplexing (FDD) and Time division duplexing (TDD) operational modes; hence, MIMO has to be feasible in both duplexing modes. As TDD operates downlink and uplink on the same frequency, it can rely on channel reciprocity to acquire the CSI needed to further design precoding and user scheduling, for instance. However, FDD cannot exploit channel reciprocity; therefore, massive MIMO in FDD mode is more challenging because the increasing number of antennas may turn the feedback of CSI impractical. Hence, compressing CSI in MIMO FDD systems is of interest. Furthermore, the use of vast spectrum ranges, sub-6 GHz and mmWaves bands, leads to different channel characteristics. Moreover, the close packaging of antenna elements increases the spatial correlation among a MIMO array. Consequently, this correlation can be exploited to leverage compression of CSI. This dissertation presents an overview of CSI compression methods, proposes an heuristic transform coding method with low computational cost, and do a systematic evaluation of the transform coding methods based on realistic MIMO channel simulations. Besides, the impact of different 5G use cases and design of transmitter and receiver antennas are also included on the evaluation to chose the transform coding method for compressing CSI in MIMO FDD systems.
Submitted to the Annals of Probability LOCALITY OF THE CRITICAL PROBABILITY FOR TRANSITIVE GRAPHS OF EXPONENTIAL GROWTH By

Around 2008, Schramm conjectured that the critical probabilities for Bernoulli bond percolation satisfy the following continuity property: If (Gn)n≥1 is a sequence of transitive graphs converging locally to a transitive graph G and lim supn→∞ pc(Gn) < 1, then pc(Gn)→ pc(G) as n→∞. We verify this conjecture under the additional hypothesis that there is a uniform exponential lower bound on the volume growth of the graphs in question. The result is new even in the case that the sequence of graphs is uniformly nonamenable. In the unimodular case, this result is obtained as a corollary to the following theorem of independent interest: For every g > 1 and M <∞, there exist positive constants C = C(g,M) and δ = δ(g,M) such that if G is a transitive unimodular graph with degree at most M and growth gr(G) := infr≥1 |B(o, r)| ≥ g, then
EVOLUTIONARY DESIGN EXPLORATION SYSTEMS

This paper proposes a software and hardware architecture for an evolutionary design exploration system for building design. First, the typical architecture for such systems is described. Certain limitations of this typical architecture are identified. The proposed architecture is then described and the advantages of this architecture are highlighted. Finally, the development of systems implementing this architecture is discussed.
Characterization of centrifugal fan noise generated in residential HVAC systems using induct measurements

The acoustic characterization of a centrifugal fan in a residential HVAC system is carried out through the determination of the total source spectrum of the sound generated by the fan under varying operating conditions. The most commonly used characterization technique, described by ISO 5136, requires an anechoic termination and the possibility to insert a microphone in the duct. To avoid the large dependence on the efficiency of the anechoic termination, an active one-port characterization using flush mounted microphones is adopted in this research. One of the major advantages of this approach is the fact that the characterization is carried out independent of downstream reflections, thus not requiring the construction of an anechoic termination. At first, the passive property of the fan, i.e. the reflection coefficient of the propagating waves at the inlet of the fan, is determined. Subsequently, the downstream reflection component of the test rig is characterized. Finally, both passive models are combined to compute the active source spectrum describing all noise generation and dissipation phenomena of the fan. The acoustic characterization is compared to existing scaling laws, such as described e.g. in VDI 2081.
MIGMATITES OF THE EASTERN ADIRONDACK MOUNTAINS: NEW CONSTRAINTS ON THE TIMING, PETROLOGY, AND TECTONIC SETTING OF PARTIAL MELTING

The Adirondack Mountains of New York are a classic example of a high-grade, polydeformational terrane that has been used as an analog for mid/deep crustal continental collisional and extensional tectonism (Mezger, 1992; Selleck et al., 2005; Rivers, 2008). Numerous studies have characterized the nature and grade of metamorphism and deformation (Bohlen et al., 1985; Spear and Markussen, 1997; Storm and Spear, 2005). Many rocks show evidence for significant degrees of partial melting, and it seems likely that, at least in some rocks, significant amounts of melt have been lost from the local system. Previous workers have interpreted the melting to have occurred during one (or several) orogenic or thermal/magmatic events, but in many regions, questions remain about the timing, melt producing reactions, tectonic setting, and even the number of partial melting events. In order to interpret the tectonic history of the region and use the region as an analog for modern deep crust, it is critical to constrain the timing, setting, and rheologic implications of melting.
Deprecating the TCP macroscopic model

The TCP Macroscopic Model will be completely obsolete soon. It was a closed form performance model for Van Jacobson's landmark congestion control algorithms presented at Sigcomm'88. Jacobson88 requires relatively large buffers to function as intended, while Moore's law is making them uneconomical. BBR-TCP is a break from the past, unconstrained by many of the assumptions and principles defined in Jacobson88. It already out performs Reno and CUBIC TCP over large portions of the Internet, generally without creating queues of the sort needed by earlier congestion control algorithms. It offers the potential to scale better while using less queue buffer space than existing algorithms. Because BBR-TCP is built on an entirely new set of principles, it has the potential to deprecate many things, including the Macroscopic Model. New research will be required to lay a solid foundation for an Internet built on BBR.
Ultrasound-enhanced drug delivery in a perfused ex vivo artery model

ii Acknowledgments: . v Chapter 1: Introduction . 1 1.1 Drug Delivery to the Vasculature . 1 1.2 Acoustic Cavitation. 5 1.2.1 Acoustic cavitation near a solid wall . 8 1.2.2 Acoustic cavitation in flow . 11 1.2.3 Acoustic cavitation in blood vessels . 13 1.2.4 Experimental conditions for acoustic cavitation. 18 1.3 Enhancement of Drug Delivery with Acoustic Cavitation . 18 1.4 Ultrasound-enhanced drug delivery in an ex vivo artery model . 19 1.5 Scope of the Dissertation . 20 Chapter 2: A perfused ex vivo artery system for investigation of ultrasound-enhanced drug delivery . 27 2.1 The flow system. 28 2.1.1 System overview. 28 2.1.2 Artery Chamber . 28 2.1.3 Perivascular fluid . 30 2.1.4 Perfusate. 31 2.1.5 Perfusion flow. 33 2.1. 6 Osmolality and pH . 37 2.1. 7 Temperature . 38 2.1. 8 Oxygenation. 38 2.1. 9 Therapeutics. 40 2.2 Arteries. 40 2.2.1 Artery acquisition. 41 2.2.2 Artery storage, preparation, and mounting . 42 2.2.3 Preparation for histology. 44 2.3 Blood clots . 45 2.4 Conclusion . 48 Chapter 3: Ultrasound-enhanced delivery of targeted echogenic liposomes in a novel ex vivo mouse aorta model . 49 3.
Taming Your Mobile Manipulator : Force and Position Control with Redundancy Resolution

In contrast to traditional industrial automation, mobile manipulators combine the advantages of mobile platforms and robotic manipulator arms. Such a design greatly extends the workspace of the robot and enables the robot to perform more complex tasks and interactions. This work focuses on control approaches for mobile manipulators that exploit the redundancy between the mobile base and the arm to improve the performance of the overall system with respect to the desired task. We present a novel force and position control architecture that allows the mobile manipulator to interact with the environment while tracking a trajectory. Further, we provide experimental results on a physical mobile manipulator that demonstrate the performance of the proposed control architecture on trajectory-tracking tasks that include static and dynamic obstacle avoidance and adaption to applied forces, with end effector speeds of up to 0.4m/s and mobile base speeds of up to 1.2m/s.
Dialogue Act Classiﬁcation in Team Communication for Robot Assisted Disaster Response

We present the results we obtained on the classiﬁcation of dialogue acts in a corpus of human-human team communication in the domain of robot-assisted disaster response. We annotated dialogue acts according to the ISO 24617-2 standard scheme and carried out experiments using the FastText linear classiﬁer as well as several neural architectures, including feed-forward, recurrent and convolutional neural models with different types of embed-dings, context and attention mechanism. The best performance was achieved with a ”Divide & Merge” architecture presented in the paper, using trainable GloVe embeddings and a structured dialogue history. This model learns from the current utterance and the preceding context separately and then combines the two generated representations. Average accuracy of 10-fold cross-validation is 79.8%, F-score 71.8%.
News Graph: An Enhanced Knowledge Graph for News Recommendation

Knowledge graph, which contains rich knowledge facts and well structured relations, is an ideal auxiliary data source for alleviating the data sparsity issue and improving the explainability of recommender systems. However, preliminary studies usually simply leverage a generic knowledge graph which is not specially designed for particular tasks. In this paper, we consider the scenario of news recommendations. We observe that both collaborative relations of entities (\eg entities frequently appear in same news articles or clicked by same users) and the topic context of news article can be well utilized to construct a more powerful graph for news recommendations. Thus we propose an enhanced knowledge graph called \textbf{news graph}. Compared with a generic knowledge graph, the news graph is enhanced from three aspects: (1) adding a new group of entities for recording topic context information; (2) adding collaborative edges between entities based on users’ click behaviors and co-occurrence in news articles; and (3) removing news-irrelevant relations. To the best of our knowledge, it is the first time that a domain specific graph is constructed for news recommendations. Extensive experiments on a real-world news reading dataset demonstrate that our news graph can greatly benefit a wide range of news recommendation tasks, including personalized article recommendation, article category classification, article popularity prediction, and local news detection.
SUBJECT-ORIENTED OPERATING SYSTEM DEVELOPMENT BASED ON SYSTEM PREDICATE CLASSES

Portable and scalable operating systems must satisfy very different needs on very different hardware architectures. Therefore they consist of several modules implementing different functionalities, and the actual system is composed of a subset of all these modules. The purpose of the modules may be very different, e.g. device drivers, security subsystems or user interfaces, but they work in the same computer system using the same hardware and software resources, so they must conform to predefined interfaces to cooperate with each other. However, these interfaces are usually defined to be very restrictive to avoid enormous complexity of the operating system. In this paper we describe a new approach for operating system design that allows a more flexible composition of modules without increasing the complexity of the system. Our suggested solution is the application of the subject-oriented programming [17] where different modules are considered as subjects which work with hardware and software resources as objects. Objects are instances of system predicate classes, our recently published technology for effective application of object-oriented language elements in system programming. We also suggest implementation techniques avoiding performance loss.
R ECONSTRUCTION OF MARINE FISHERIES CATCHES FOR M AURITIUS AND ITS OUTER ISLANDS , 1950-2008 1

Total marine fisheries catches by Mauritius and its outer dependencies were estimated from 1950 to 2008, and include unreported catches from the small-scale fisheries carried out around the islands of Mauritius, Rodrigues, Agalega and St. Brandon, recreational marine catches, estimates of catches taken by the Mauritian fleets along the Mascarene Ridge, and discards of the tuna purse-seine fishery. Summed for 1950-2008, total marine fisheries catches for Mauritius and its dependencies were estimated to be 682,392 t, which is 42 percent larger than currently reported landings of 478,305 t presented by FAO on behalf of Mauritius. This discrepancy was largely due to better accounting of small-scale catches carried out around Mauritius and Rodrigues islands by part-time fishers. This study illustrates the need for improved reporting of catches including all fisheries sectors in Mauritius, especially for the small-scale sector, which provides food security and a source of income for a large portion of the local population.
Prevalance of Anemia in Type 2 Diabetic Patients and the Role of Nephropathy

Introduction: Anemia is a common problem in diabetic patients, who usually suffer from a greater degree and severity of anemia based on their level of renal impairment, compared to non diabetic patients. This study investigates the prevalence of anemia in type 2 diabetic patients and aims to determine the role of different stages of nephropathy in development of anemia in these patients. Methods and Materials: For this study, 1962 outpatients, with type 2 diabetes were selected. A full blood count and iron indices were obtained for all patients. Anemia was defined as Hemoglobin<13g/lit in males and <12 g/lit in females. The correlation of anemia with other variables including sex, age, duration of diabetes, fasting blood sugar, glycosylated hemoglobin, glumerolar filtration rate, albuminuria, uric acid and metabolic syndrome was identified with multivariate logistic regression analysis. Results: In males 9.2% and among females 10.4% of patients had anemia. The prevalence of elevated albuminuria (micro or macroalbuminuria) was 38. 1%. Of our patients, 8.1% had moderate (creatinine clearance <60 ml/min/ 1. 73 m2) and 31. 4% had mild (CCr= 60-90) renal impairment. Patients with moderate renal impairment had significantly higher levels of anemia than patients with mild renal failure (30% Vs. 9%, p<0.001). Patients with diabetes and macroalbuminuria were also likely to have more anemia than patients with microalbuminuria (32.4% Vs. 8.4%, p<0.001); also patients with microalbuminuria were also more likely to have anemia than patients without elevated albuminuria (8. 4% vs. 5. 7%, p<0. 001). Conclusion: Anemia has a high prevalence in type 2 diabetic patients. Any degree of renal impairment and albuminuria are risk factors for anemia in such patients. Keyword: Anemia, Type 2 diabetes, Nephropathy, Albuminuria
Race Detection in Parallel Programming

Computer systems were sequential originally. This type of system design is simple but slow. In order to get to the power limit of CPU, people introduced multiprogramming, timesharing and multi-core technologies into computer systems. At the same time, some problems that never exist in the sequential systems emerged. Race condition is one of them. Race condition is an infamous bug in parallel system. The result of race condition is nondeterministic and extremely hard to reproduce and debug, which is obviously not what we want. Is it possible to detect race condition in parallel system? Can we find all of such problems? If so, can we solve it in a more graceful way? There are so many questions need to be answered. Clearly, if we can detect all of such potential threats and avoid them, we will get a more reliable and robust system. In this paper, I will give an introduction to race condition. What is a race condition? Why is it so difficult to solve. Also, I will explore some methods trying to solve this problem. Basically, people detect race condition problem in two big category methods. The first one is detecting in the compile time, which is also called static detection; the other is detection in the run time, which is called dynamic detecting. Both of these two have shortcomings such as coverage, speed, etc. In this paper, I will give an introduction to some methods in both categories. Also, I will show you some tools in race detection.
Impact of Demand Response Technique on Hybrid Transmission expansion planning and Reactive Power planning

In this paper, a model for hybrid transmission expansion planning (TEP) and reactive power planning (RPP) considering demand response (DR) model has been presented. In this study RPP considered by TEP for its effects on lines capacity and reduction of system expansion costs. On the other hand the expansion of the transmission system is an important subject, especially dealing with the new issues of smart networks like as demand response. Demand response program can change the network expansion planning by shifting elasticity loads and reducing of peak load to improve conditions and decrease the costs. To combine demand response model into the transmission expansion planning and reactive power planning, nonlinear mixed integer meta-heuristic optimization algorithm is used. To evaluate the impact of the proposed expansion planning, this model is exerted to the 30-bus test system. Simulation outcomes display the proposed technique considering demand response model reduces the overall cost of the hybrid TEP-RPP.
PLX4032 in metastatic colorectal cancer patients with mutant BRAF tumors.

3534 Background: The BRAF activating mutation is present in up to 10% of metastatic colorectal carcinomas (mCRC) and is associated with unique clinical and pathologic features with a very poor prognosis. PLX4032 (RG7204) is an oral inhibitor of the mutant BRAF kinase, with pronounced activity in BRAF-mutant melanoma patients (pts). Methods: In this phase I study, we treated an extension cohort of mCRC pts whose tumors were positive for mutant BRAF with PLX4032 at the previously determined maximum tolerated dose of 960 mg BID. The BRAF mutation was centrally confirmed by Taqman PCR. Efficacy was evaluated by RECIST every 8 weeks. Results: 21 mCRC pts were enrolled, with a median age of 65 and ECOG performance status of 0 (35%) or 1 (65%). All but one had received prior therapy for metastatic disease. PLX4032 PK values were ∼20% lower than than those previously observed for melanoma. 19 pts were evaluable for response, with 1 confirmed partial response and 4 minor responses (≥ 10% shrinkage). 5 pts showed a.
Nutrition Standards and Meal Requirements for National School Lunch and Breakfast Programs: Phase I. Proposed Approach for Recommending Revisions

The National Academy of Sciences is a private, nonprofit, self-perpetuating society of distinguished scholars engaged in scientific and engineering research, dedicated to the furtherance of science and technology and to their use for the general welfare. Upon the authority of the charter granted to it by the Congress in 1863, the Academy has a mandate that requires it to advise the federal government on scientific and technical matters. Dr. Ralph J. Cicerone is president of the National Academy of Sciences. parallel organization of outstanding engineers. It is autonomous in its administration and in the selection of its members, sharing with the National Academy of Sciences the responsibility for advising the federal government. The National Academy of Engineering also sponsors engineering programs aimed at meeting national needs, encourages education and research, and recognizes the superior achievements of engineers. to associate the broad community of science and technology with the Academy's purposes of furthering knowledge and advising the federal government. Functioning in accordance with general policies determined by the Academy, the Council has become the principal operating agency of both the National Academy of Sciences and the National Academy of Engineering in providing services to the government, the public, and the scientific and engineering communities. * IOM Boards do not review or approve individual reports and are not asked to endorse conclusions and recommendations. The responsibility for the content of the report rests with the authoring committee and the institution. Reviewers This report has been reviewed in draft form by individuals chosen for their diverse perspectives and technical expertise, in accordance with procedures approved by the National Research Council's Report Review Committee. The purpose of this independent review is to provide candid and critical comments that will assist the institution in making its published report as sound as possible and to ensure that the report meets institutional standards for objectivity, evidence, and responsiveness to the study charge. The review comments and draft manuscript remain confidential to protect the integrity of the deliberative process. We wish to thank the following individuals for their review of this report: Although the reviewers listed above have provided many constructive comments and suggestions, they were not asked to endorse the conclusions or recommendations nor did they see the final draft of the report before its release. The review of this report was overseen they were responsible for making certain that an independent examination of this report was …