Miracle-dz/UniFAR-FTUs huggingface dataset:
Controlling Characteristics of the Slot Wave by Virtual Capacity Setting: LIP Solving Slot Allocation Based on Data Splitting Method

Management of demand and capacity for airport operation is important. The effect of capacity setting on slot adjustment, maximum adjustment and flight delay has been extensively investigated and discussed in previous slot adjustment models. But its effect on characteristics of flight waves has not been studied deeply. At present, in order to resolve the problem that Linear Integer Programming (LIP) is limited in slot allocation due to its fast dimension growth and large memory consumption, the general practice is to optimize the slot application according to data-splitting technology. However, the relationship among data splitting method, capacity setting and characteristics of slot wave has not been investigated in detail, which limits the application of LIP in slot allocation. Through the detailed analysis and testing, we found that the waveform and amplitude of slot wave can be controlled and designed by appropriate virtual capacity settings, while the number of capacity constraints and the computing time is reduced by adopting appropriate data feeding method. Our research also provides clues for further research on the construction of the flight waves for airlines operating at specific airports in order to establish direct or indirect connectivity, and increase hit rate by using our approaches.
Deletion 7 q Abnormality in a Childhood Pre B All : A Case Report and Review of Literature

Aim: In childhood and adult acute myeloid leukemia and myelodysplastic syndrome chromosome 7 aberrations are not an uncommon finding. But in childhood acute lymphoblastic leukemia it is rarely seen. In this case we identified a rare cytogenetic aberration in a girl with Precursor B cell acute lymphoblastic leukemia. Method: Ten and a half year old girl presented with complaints of fever for two weeks and generalized body swelling for ten days. She was anemic, tachycardia with mild hepatosplenomegaly. She had raised TLC-67x109/L with 52% blasts. MLL gene and BCR-ABL were negative. Result: Our patient cytogenetic analysis showed deletion 7q22-34. Conclusion: Studies have shown that the long arm of 7q from 7q22-q36 has many important tumor suppressor genes located on it. Thus its deletion results in increased Leukemogenesis propensity. It will be interesting to find any interconnection between myeloid and lymphoid clones and chromosome 7 abnormalities.
Efficient Leader Election for Synchronous Shared-Memory Systems

Leader election is a frequent problem for systems where it is important to coordinate activities of a group of actors. It has been extensively studied in the context of networked systems. But with the raise of many-core computer architectures, it also became important for shared-memory systems. In this paper we present an efficient leader election technique for synchronous shared-memory systems. Synchronous in our context means the response time of code sections with relevant communication patterns is bounded. Our leader election method is used to help making the scheduling layer LPEL fault tolerant.With our approach LPEL will be efficient to resolve problems when the leader fails. Keywords—fault tolerance, leader election, parallel computation, shared memory, synchronous systems
OPTICAL RECEIVER NOISE MODEL COMPARISON ANALYSIS FOR RECENT ELECTRICAL BASED MULTIPLEXING TECHNIQUE

In this paper, the performance analysis in terms of receiver sensitivity is presented by comparing three recent electrical based multiplexing techniques; Multi Slot Amplitude Coding (MSAC), Duty Cycle Division Multiplexing (DCDM) and 4-Pulse Amplitude Modulation (4-PAM). A 30 Gbit/s back-to-back configuration of the optical receiver model with optical pre-amplifier for these techniques have been investigated by considering an optical amplifier and receiver noise. The results show that MSAC technique achieves significantly better receiver sensitivity compared to DCDM and 4-PAM. As an alternative electrical multiplexing technique, we believe that MSAC has good potential to be adopted in future cost sensitive applications of optical communication system.
Computational and Structural Advantages of Pairwise Flocking

Biologists have shown that certain species of birds flock in groups at least partially composed of pairs, believed to be stable mate pairs. In this paper we consider synthetic flocks containing pairs, and show that this structure can be used to reduce paired agents' tracking workloads by approximately half, while also providing a more stable flock despite the fewer tracking interactions. We suggest this could be useful for constructing robust, real-world flocking systems.
Pricing-to-Market ( PTM ) and the International Transmission Effect of Monetary Policy : The “ New Open-Economy Macroeconomics ” Approach

Empirical analyses on firms’ price setting behavior show that while the exchange rate pass-through of Japanese firms is low (many Japanese firms adopt pricing-to-market [PTM]), the export prices charged by U.S. firms nearly perfectly reflect foreign exchange rate fluctuations. This paper analyzes how the difference in domestic and foreign firms’ price setting behavior affects the domestic and international transmission effect of monetary policy by using a model that explicitly incorporates differences in the price setting behavior of domestic and foreign firms. This model is constructed by adopting the framework of the “new open-economy macroeconomics” which has been the subject of numerous research papers in recent years. The findings demonstrate that the transmission effects of domestic and foreign monetary policies are greatly different when domestic and foreign firms adopt different price setting behaviors. This indicates that central banks have to give sufficient attention to firms’ price setting behavior for the implementation of monetary policies. Additionally, model simulations based on Japan and U.S. data show that the international transmission effect of Japanese monetary policy is negligible compared with that of U.S. monetary policy due to the PTM price-setting behavior of Japanese firms.
MIMO-OFDM Wireless Broadband System With Adaptive Transmission Mode (ATM) Controller

: Multiple-input multiple-output (MIMO) antenna system with Orthogonal Frequency Division Multiplexing (OFDM) [1] [2] technology is proven physical layer technology for the wireless broadband system. With the advent of this combined technology in the wireless broadband system, we observe a great increase in capacity. This spring, however, build upon right selection of transmission parameters suitable to present channel condition. To address this problem, we propose a smart adaptive transmission mode (ATM) controller for use with MIMOOFDM wireless broadband system. The proposed ATM controller is triggered by channel information and provides the transmitter with control signals used to set transmission parameters according to channel conditions. To deal with the vast varying environment in radio path, conventional OFDM based link adaptive systems rely on modifying only modulation coding scheme (mcs). However, the ATM controller considers the guard interval between OFDM symbols and MIMO mode (space-time block coding (STBC) or spatial division multiplexing (SDM)) as an additional transmission parameters in the link adaptive transmission process along with the modulation and coding. Consequently, we can observe a great improvement in the throughput performance of the system in a fading radio environment. We evaluate the throughput performance of IEEE 802.11n [3] [4] [5] based MIMO OFDM wireless broadband system with ATM controller under the constraint of target bit error rate. Simulations over TGn fading channel [6] show that the system with the proposed ATM controller performs very better than a conventional scheme of link adaptation.
Pindrop Labs' Submission to the First Multi-Target Speaker Detection and Identification Challenge

This paper summarizes Pindrop Labs’ submission to the multitarget speaker detection and identification challenge evaluation (MCE 2018). The MCE challenge is geared towards detecting blacklisted speakers (fraudsters) in the context of call centers. Particularly, it aims to answer the following two questions: Is the speaker of the test utterance on the blacklist? If so, which speaker is it among the blacklisted speakers? While one single system can answer both questions, this work looks at them as two separate tasks: blacklist detection and closed-set identification. The former is addressed using four different systems including probabilistic linear discriminant analysis (PLDA), two deep neural network (DNN) based systems, and a simple system based on cosine similarity and logistic regression. The latter is addressed by combining PLDA and neural network based systems. The proposed system was the best performing system at the challenge on both tasks, reducing the blacklist detection error (Top-S EER) by 31.9% and the identification error (Top-1 EER) by 46.4% over the MCE baseline on the evaluation data.
Feature Similarity Image Classification Algorithm Based on Deep Learning

Based on the traditional fuzzy BP classification method, the image with high degree of feature phase was classified with higher misclassification rate. Considering the problems of the traditional methods, in this paper, a classification feature similarity image classification algorithm based on deep learning and support vector machine was proposed. Firstly, the local average noise reduction method was used to denoise the similarity image, and the wavelet image was decomposed by wavelet multi-scale decomposition algorithm. Then, the local information smoothing processing of the image was performed by the RGB color component recombination method, and the rough set feature quantity of the image was extracted. Finally, the extracted feature quantities were input into a support vector machine learner for image classification. In the hidden layer of the classifier, adaptive learning of weighting parameters was performed by the deep learning algorithm to achieve image enhancement processing and classification optimization of batch feature similarity images. The simulation results showed that the accuracy of feature similarity image classification was better, the ability to resist inter-class attribute perturbation was stronger, and the retrieval efficiency of large-scale images was improved.
econstor Make Your Publications Visible . A Service of zbw

In this paper I analyse a probabilistic voting model where political candidates choose a direct taxation policy to maximise the probability of winning elections. Society is divided into groups which have di¤erent preferences for consumption of leisure or, in other words, are di¤erently single-minded on the amount of leisure. The use of a probabilistic voting model characterized by the presence of single-minded groups breaks down the classic results obtained by using the median voter theorem, because it is no longer only the level of income which drives the equilibrium policies but also the ability of groups to focus on leisure. The robustness of these results is also demonstrated in the presence of heterogeneity in the labour income. Finally, using data from the Luxemburg Income Study, I demonstrate that the cohort-speci c inequality is signi cantly a¤ected by the structure of the taxation system and that policies chosen by politicians do not seem to be originated by the goal of equality. JEL Classi cation : D31, D63, D78, H24, J22
Implementation of PACMATS Cryptographic Algorithm in CBC and ICBC Modes

Parallelized Adaptive Cipher with Modular Arithmetic Transposition and Substitution (PACMATS) is a Symmetric Cryptographic Algorithm designed with conventional techniques to efficiently utilize parallel computing capabilities available today. It is designed to overcome the performance inconsistencies prevalent in conventional cryptographic algorithms when they are implemented in different computing systems with different processing capabilities. The size of the key and the plain text blocks are each 1024-bits. This algorithm derives the adaptive nature from its flexible design in fixing the size of the key and plain text sub-blocks and the number of rounds. Flow of the algorithm is made dynamic by determining the execution steps through each key value at runtime. In spite of these advantages PACMATS always produces the same cipher text block for a particular plain text block when the same key is used. CBC mode along with 2-way and 4-way Interleaved CBC modes are employed to overcome this problem. The performance of the PACMATS in ECB, CBC and ICBC modes are analyzed with implementations in shared memory parallel computing environment using OpenMP, Java Threads and MPI.
Low-Cost , Low-Risk Treatment of Residual Limb Phantom Pain in a Military Amputee Using Osteopathic Manipulative Medicine Techniques

Amputation of a lower limb is a stressful experience for any amputee and requires physical, psychological and social adjustments. Since the start of the Iraq war in 2003, military troop personnel have suffered blast injuries, most were attributed to ground-placed IEDs or land-mines. An emerging pattern of high, multiple extremity amputations have established on the battlefield, involving the lower limbs. There are numerous approaches for the treatment and management of Phantom limb pain (PLP). This case involves a 35 year-old active duty U.S. Army Sergeant with six combat deployments to Afghanistan, who underwent a right lower extremity, below the knee amputation during July 2017. The patient underwent osteopathic manual manipulation therapy as treatment and management of his extensive PLP. Two weeks post-operatively, the patient experienced excruciating PLP. Cranial Rhythmic Impulse (CRI) was noted as a palpable symmetric wave form in normal tissue. When the patient’s PLP initially began, the primary practitioner was curious as to how the amputation might have affected the CRI through the residual limb, and whether these changes could be manipulated to decrease the patient’s perceived PLP. The impulse was stronger on the medial side when compared to the lateral side, and the impulses differed in timing when comparing right to left. The patient immediately experienced relief from his PLP to the point of falling asleep during the session. Due to the patient’s perceived success of this first session, the technique was repeated several times over the next eight weeks. Even when considering the inherent confounding factors and bias in this case report, the patient did experience immediately relief from his over eight weeks. This factor alone demands that OMM, OMT and OCMM techniques be further investigated for PLP as a treatment modality. The best services to support military and veteran amputees, as well as other non-military amputees, would be to have available low cost and low risk treatment and management solutions.
Sequential Coherence: A Novel Determinant of Open Innovation Performance

Despite its popularity as a strategy to accelerate innovations there is evidence that open innovation does not always increase innovation performance. Extant literature provides inconsistent and inconclusive arguments in respect of the relationship between open innovation practices and innovation performance. Existing theories mostly have an internal focus and fall short of explaining why some firms succeed in open innovation initiatives and why others fail. Open innovation is about knowledge flows. We argue that boundary conditions matter in innovation performance and sequential coherence can explain why some succeed while others fail in open innovation. A qualitative inquiry we made reveals that sequential coherence that facilitates the knowledge transfer at boundary level influences innovation performance in open innovation initiatives. Sequential coherence is measured through the push and the pull effects by willingness and ability of the participants of teacher firm and the preparedness and ability of the participants from the student firm respectively. We trust that our findings bridge a gap in open innovation literature. These initial findings could be generalized through a quantitative study with larger samples. Managerial implications of the finding is that ability to scan the entire chain of knowledge flow across boundaries and taking corrective measures for any bottlenecks or hindrances observed can bring better results from open innovation initiatives. Further, sequential coherence leads to multiple research opportunities in furthering our knowledge in open innovation.
imultaneous detection of stone fruit tree viruses by one-step multiplex RT-PCR

A protocol of multiplex RT-PCR in a one-tube system for the detection of the most common stone fruit trees viruses [e.g., plum pox virus (PPV), prune dwarf virus (PDV), and Prunus necrotic ringspot virus (PNRSV)], including the internal control of NADH dehydrogenase subunit 5 (nad5) gene are described here. The method specificity was tested on more than 80 different samples with various isolates and
Toolkit For Gesture Classiﬁcation Through Acoustic Sensing

The interaction with touch displays has become increasingly popular with the growth of the mobile devices market. Most people already own at least one of these devices, and use them regularly. By extension, touch displays, and all applications that make use of this technology have become quite popular, available by the thousands nowadays. However, these applications don’t make full use of a user gesture’s potential, focusing mainly on hand’s position and shape. This work proposes a new approach to identify and classify gestures with diﬀerent acoustic signatures. To tackle this problem, we proposed an approach to gesture classiﬁcation through the sound produced by interaction on a surface. This approach is provided as a development toolkit, to integrate these features into applications, while freeing the developer from the need to understand and implement complex classiﬁcation and audio processing algorithms. We detail the components of the toolkit’s architecture, and describe the main processes it implements. To explore and evaluate this approach, a set of applications was developed, that use the toolkit as a mean to improve interaction and map user’s gestures to concrete actions. The main outcome of this work is a toolkit built to simplify the development of applications that make full use of a user’s gestures, and that allows an expedite mapping between the application’s features and an easily distinguishable gesture.
A Study of Clinical and Lab Profile of Fever with Thrombocytopenia

Introduction: India is a tropical country and is home to a variety of infectious diseases. In the recent years, a spurt in the number of cases of febrile thrombocytopenia has been noted, especially during the monsoon season. As febrile thrombocytopenia is the result of varied etiology, clinical course is often unpredictable. We undertook this study with an aim to analyze cases of febrile thrombocytopenia and identify etiology, clinical profile and complications associated with it. Objectives: To identify the etiology, clinical profile and assess the complications of febrile thrombocytopenia. Material and Methods: In this prospective descriptive study, patients with fever and thrombocytopenia of age 1-18 yrs were enrolled and examined. Hemogram, smear for malarial parasite, blood culture, widal test, antibody titers for dengue virus, C-reactive protein and screening for viral hepatitis were sent for establishing the etiology. Coagulation studies, L.F. T (Liver Function Tests), R.F. T (Renal Function Tests), C.S. F (CerebroSpinal Fluid) analysis, bone marrow aspiration and other radiological investigations were done in selected cases. They were managed according to standard WHO (World Health Organization) protocols. results: There were 54 males and 46 females in the enrolled population. Most common etiology was malaria followed by dengue. In majority of them, thrombocytopenia was transient and asymptomatic where as bleeding manifestations were commonly seen in dengue cases. Most common symptoms associated were abdominal pain and melena. Irrespective of platelet transfusion, spontaneous recovery was noted in dengue patients. Conclusions: Platelet transfusions do not influence the incidence of severe bleeding in dengue fever. Much more awareness, vigilance and research in the diagnostic modalities is further needed to avoid unnecessary panic and platelet transfusions.
Information Mining of Song Lyrics Based on Natural Language Processing Techniques

Zheng Yabin Liu Zhiyuan Sun Maosong (State Key Lab of Intelligent Technology and Systems, Dept. of Computer Science and Technology, Tsinghua University, BeiJing, 100084 ) Abstract: We report experiments on song lyrics based on standard natural language processing techniques. A significant amount of music songs have suited lyrics, which play a important role of the semantics of a song, therefore, analysis of lyrics may be a complement of acoustic methods. We investigate the lyrics corpus based on Zip’f Law using both character and word as a unit, results roughly obey Zip’f Law. Also, by the means of vector space model, we can find a set of lyrics that are similar to each other. Moreover, we discuss how to use the time annotation for further study; we can detect the repeated part of songs as well as categorization of rhythms. Preliminary experiment shows the effectiveness of our proposed method.
Title A cross-validation-based approach for delimiting reliable home range estimates Permalink

Background: With decreasing costs of GPS telemetry devices, data repositories of animal movement paths are increasing almost exponentially in size. A series of complex statistical tools have been developed in conjunction with this increase in data. Each of these methods offers certain improvements over previously proposed methods, but each has certain assumptions or shortcomings that make its general application difficult. In the case of the recently developed Time Local Convex Hull (T-LoCoH) method, the subjectivity in parameter selection serves as one of the primary impediments to its more widespread use. While there are certain advantages to the flexibility it offers for question-driven research, the lack of an objective approach for parameter selection may prevent some users from exploring the benefits of the method. Methods: Here we present a cross-validation-based approach for selecting parameter values to optimize the T-LoCoH algorithm. We demonstrate the utility of the approach using a case study from the Etosha National Park
Professional Leadership in Schools: Effective Middle Management and Subject Leadership

With the advent of appraisal, performance related pay, induction for NQTs (Newly Qualified Teachers) and the stresses of league tables and Ofsted inspections, middle managers in secondary schools are being asked to develop and display first class management skills. This book meets the needs of those who need to develop and update skills for their present job, or who are preparing for the next step into more senior management, including the National Professional Qualification for Headship (NPQH). Those aspiring to middle management will also find the essential skills and practical guidance in this book inspiring and supportive.