Reviewerly/exHarmony huggingface dataset:
RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer

Learning scene flow from a monocular camera still remains a challenging task due to its ill-posedness as well as lack of annotated data. Self-supervised methods demonstrate learning scene flow estimation from unlabeled data, yet their accuracy lags behind (semi-)supervised methods. In this paper, we introduce a self-supervised monocular scene flow method that substantially improves the accuracy over the previous approaches. Based on RAFT, a state-of-the-art optical flow model, we design a new decoder to iteratively update 3D motion fields and disparity maps simultaneously. Furthermore, we propose an enhanced upsampling layer and a disparity initialization technique, which overall further improves accuracy up to 7.2%. Our method achieves state-of-the-art accuracy among all self-supervised monocular scene flow methods, improving accuracy by 34.2%. Our fine-tuned model outperforms the best previous semi-supervised method with 228 times faster runtime. Code will be publicly available.
Survey on Techniques and Image Modalities in Content Based Medical Image Retrieval

The tremendous increase in medical images in the healthcare sector has given rise to the term CBMIR(Content-Based Medical Image Retrieval). CBMIR is said to ease the job of a physician in searching and retrieving similar images for a given query image. This helps in the detection and diagnosis of diseases in human body parts at the early stage. Due to the rapid increase in medical image databases searching and retrieving images similar to that of the query image from a huge database is a challenging task. A Survey on various CBMIR techniques that are used for retrieving biomedical images is given in this paper. This includes a literature survey of over more than 100 contributions to the field of content based medical image retrieval techniques. The major focus is on the techniques based on the representation of images visually in the medical field rather than annotated images.
A STUDY OF STRUGGLE IN VERSATILITY IN TABLA PERFORMANCE

Tabla is the most versatile among percussion instruments today. The challenge that it meets till date is the recognition that Tabla has in terms of a Solo instrument. Although acclaimed worldwide for its versatility, yet the role of Tabla as a Solo instrument remains undefined at large. The tabla player today occupies a decent place on stage during accompaniment and exhibits the art, at times with his repertoire, especially when he accompanies to instrumental music. The rich repertoire of Tabla, which is learnt through life finds its expression only through solo performances, but this is confined only to the elite artists. There is no denial to the fact that Tabla is basically an accompanying instrument. Accompaniment is a beautiful art and every tabla artist should be an able accompanist. In fact, the art of accompaniment does need a better craftsmanship and a greater aesthetic sense than the art of tabla solo presentation. Given to these facts, the repertoire of tabla finds complete expression only during a solo performance. The collection of compositions of tabla from the masters of yesteryears is huge, and how many tabla players are able to put it across the listeners, even a meagre part of what they have learnt in the lineage? And the truth is that the Tabla is the primary accompanying instrument in North Indian classical, fusion and light music today. This is the struggle in its versatility. The music fraternity and the organizers need to ponder over this and improve their endeavors to promote Tabla more, as a solo instrument also.
Dense region clustering using bayesian rose tree algorithm and depth first search with collaborating filtering

In this research, segmentation of an image into displace areas, which means every region fulfils a partition criterion. In this research, the problem of finding the maximum density region in an image has been resolved by applying the Gaussian-Filter. Further, it includes the BRT structure which includes the use of multiplicative algorithms for graph clustering. The BRT algorithm is mainly considered for gene analysis and optimization process. The outcomes found good in distinguishing and investigating complex natural designs utilizing chart bunching, collective sifting and profundity first inquiry. The inborn and extraneous qualities are additionally determined during quality ID investigation.
Machine Learning Based Theft Detection Using Yolo Object Detection

Object detection and tracking could be an immense, vivacious however inconclusive and trending area of computer vision. Due to its immense use in official surveillances, tracking modules applied in security and lots of other’s applications have made researchers to devise a lot of optimized and specialized methods. For validation purpose live input video will be taken for the same where objects will be getting detected and it can be simulated same for real-time through external hardware added. In the end we see the proper optimized and efficient algorithm for object detection and alert for security. Object Detection is computer vision technique used to detect object and identify its localization. This technique is not only used to identify the location but also to identify which type of object it is. This CV technique is used to detect objects in real time while maintaining the level of accuracy. By bringing some advancement in it, this system can be very helpful for people to keep track of their precious things or devices which are very expensive and need to be protected. Open CV (Open-Source Computer Vision Library) is a library of programming functions mainly aimed at real- time computer vision. Open CV features GPU acceleration for real-time operations. This feature helps us to write computationally intensive codes in C/C++ and create a Python wrapper for it so that we can use these wrappers as Python modules.
Distance Enhancement of Quantum Cryptography through MANET

In the modern technology world, the cryptographic techniques are plays a major role. There are so many modern cryptographic algorithms are used to secure information through message transformation. Quantum cryptography evolved from the merging of physics and cryptography to reduce the threat that encryption encounters. It is one of the emerging fields in the computer technology. The primary objective of quantum cryptography research is to develop cryptographic algorithms and protocols that are resistant to quantum computer attacks and increase the communication distance. The various quantum cryptography protocols are demonstrated, as well as how this technology has led to the establishment of secure communication between sender and the receiver through using of MANET. We will look at the properties of quantum cryptography and the benefits of MANET it can provide in the future internet. One of the best ways for increasing the distance of message transmission over the internet is to use MANET in the field of quantum cryptography. An Ad hoc on demand distance vector (AODV) is a routing protocol for Mobile Ad hoc networks
Sending-or-Not-Sending Twin-Field Quantum Key Distribution with a Passive Decoy-State Method

Twin-field quantum key distribution (TF-QKD) has attracted considerable attention because it can exceed the basic rate-distance limit without quantum repeaters. Its variant protocol, sending or not-sending quantum key distribution (SNS-QKD), not only fixes the security vulnerability of TF-QKD, but also can tolerate large misalignment errors. However, the current SNS-QKD protocol is based on the active decoy-state method, which may lead to side channel information leakage when multiple light intensities are modulated in practice. In this work, we propose a passive decoy-state SNS-QKD protocol to further enhance the security of SNS-QKD. Numerical simulation results show that the protocol not only improves the security in source, but also retains the advantages of tolerating large misalignment errors. Therefore, it may provide further guidance for the practical application of SNS-QKD.
Cross-View kernel transfer

We consider the kernel completion problem with the presence of multiple views in the data. In this context the data samples can be fully missing in some views, creating missing columns and rows to the kernel matrices that are calculated individually for each view. We propose to solve the problem of completing the kernel matrices with Cross-View Kernel Transfer (CVKT) procedure, in which the features of the other views are transformed to represent the view under consideration. The transformations are learned with kernel alignment to the known part of the kernel matrix, allowing for finding generalizable structures in the kernel matrix under completion. Its missing values can then be predicted with the data available in other views. We illustrate the benefits of our approach with simulated data, multivariate digits dataset and multi-view dataset on gesture classification, as well as with real biological datasets from studies of pattern formation in early Drosophila melanogaster embryogenesis.
Research on the development of road base pavement engineering management information system

Road transportation plays a leading role in the transportation system with its convenient, direct access and large coverage area, and the quality of road engineering directly affects the interaction between the economies of various regions. Among them, the quality of road base pavement engineering plays a significant and critical role in the quality of road engineering. To further ensure the high quality construction and development of road engineering, this paper designs and develops a road base pavement engineering management information system based on computer application technology. The system realizes the control of road base pavement engineering information, road construction materials, engineering quality, construction personnel management and road engineering maintenance by means of information technology, which is conducive to the construction unit's scientific decision and management of road base pavement engineering and facilitates the construction unit to improve the quality of road base pavement engineering.
A Study of Malaria in Jharkhand State

Background: The aim of India is to reach zero Malaria cases by 2027 and then wait for three years before WHO can grant Malaria-free status certification. It is already the beginning of 2022 and India is about to reach the halfway mark of the Malaria Elimination framework period of 2016 to 2027. Objectives: To see how far Jharkhand has reached about Malaria elimination targets. Methods: By reviewing documents published by the National Vector Borne Disease Control Programme (NVBDCP). Results: The Latehar District of Jharkhand had a very high Annual Parasite Incidence (API) of 10.86 during 2018. Conclusions: If interventions like the treatment of positive patients and asymptomatic carriers occur, the API will be expected to decrease drastically.
QUAND LA TERMINOLOGIE MUSICALE ITALIENNE TRAVERSE LES ALPES, LA MANCHE ET LE DANUBE

The author analyses around 80 musical terms from Italian that appear in French, English, and Romanian. Music notation is a complex semiotic system in which linguistic signs occupy only a marginal place. Unlike other mixed semiotic systems, made up of words and specific scoring structures (the ‘formulas’ in mathematics, chemistry, physics, etc.), the musical sheets are not only a method of encoding the music text created by a composer, but also a set of directions for the interpreter, a kind of ‘instructions. The musical terms coined in Italian, which “travel” to other languages as loans, show remarkable semantic stability, having the same meaning in the four examined languages. In French and Romanian, the majority of Italian words were adapted to their own phonetic, morphological, and/or lexical systems. Such linguistic adaptions are rarely found in English. French occupies a special place in comparison with English and Romanian, being at times the pathway for the transfer of Italian musical terms. In some cases, the Italian words work as a model for a semantic extension of a similar word already existing in the target languages.
Nondestructive evaluation of impact area on glass fiber reinforced polymer composite by digital image correlation method: experimental study

Nondestructive evaluation of impact area on glass fiber reinforced polymer composite by digital image correlation method: experimental study
Faktor yang berhubungan dengan kepatuhan berobat penderita tuberkulosis paru di kota Sorong

Tuberculosis is still a major burden of disease in Indonesia. The disease is highly transmissible, and if it is resistant to drugs, treatment can be take a long time. Patients with pulmonary tuberculosis will be difficult to cure if there is no regular treatment. This study aims to identify factors related to patient adherence to tuberculosis treatment in Sorong City. The study uses a cross-sectional design with 72 respondents. Data collection through interviews with a structured questionnaire. Samples were pulmonary tuberculosis patients recorded as having followed treatment for at least two months from 2018 to 2019 at RSUD Sorong. Data were analysed using the Chi-square test. The results showed that 55.6% of respondents adhered to treatment for pulmonary tuberculosis. The variables associated with adherence in patients with pulmonary tuberculosis in Sorong City were drug side effects (p-value = 0.013) and the support of the supervisor taking medication (p-value = 0.000). In order to improve adherence to tuberculosis treatment, health workers should create a tracking system for patients who are non-compliant and expand case management’s capacity to advise patients.
Not All Entangled States are Useful for Ancilla‐Assisted Quantum Process Tomography (Ann. Phys. 5/2022)

Quantum Entanglement It has been shown that entanglement is not necessary for ancilla-assisted quantum process tomography. Surprisingly, by presenting two examples of two-qutrit entangled states, it is found by Cheng-Jie Zhang and co-workers in article number 2100550 that there also exist some entangled states which are useless for ancilla-assisted quantum process tomography. Moreover, experimental verification is performed on the IBM platform ibmq_athens.
Teacher Aptitude Test for College Admission in the University of Eastern Philippines: A Development and Validation Study

The study aimed at developing and presenting the validity evidence of a Teacher Aptitude Test (TAT) that could be used as one of the admission requirements in the College of Education of the University of Eastern Philippines Campus. Specifically, it aimed to determine the indices of difficulty and discrimination and the reliability of the constructed test. A descriptive research design was used and involved 224 freshman students. The main instrument used in the study is the developed Teacher Aptitude Test. Data were analyzed through item analysis and the Kuder-Richardson Formula 20. The analysis showed that most of the items in the developed Teacher Aptitude Test were accepted and passed the criteria for both indexes of difficulty and discrimination. In terms of the reliability of the test, the whole instrument obtained a good internal consistency, an indication that the developed test is highly reliable. Specifically, each component of the test possessed good and acceptable internal consistency. The developed Teacher Aptitude was deemed as a valid and reliable test. A total of 100 valid test items constituted the developed TAT after a series of validation processes were made.
Design of Digital Platform for College Innovation and Carving Out Cultivation Project Based on Intelligent Analysis

With the gradual integration of the Internet into people’s daily life and the increasing number of students and organizations joining the Internet wave, more and more people begin to carry out entrepreneurial activities by taking advantage of the rich resources, sharing, and communication characteristics of the Internet. No matter ordinary people or outstanding social elites, they can develop their own innovation and creativity at all levels under the influence and role of Internet informatization. University students’ innovation and carving out are one of the vital methods to alleviate the strain of social employment and industrial transformation and development; however, the lack of entrepreneurial high-quality and bad integration of social sources also has an effect on the success of university students’ innovation and carving out. To resolve the above problems, this article constructs a digital platform for innovation and carving out cultivation undertaking in schools and universities primarily based on smart analysis. Digital-wise evaluation can successfully promote the data administration of the platform, overcome the inherent troubles such as old-fashioned records sources and gradual updating of regular platforms, make full use of the advantages of large data, combine scan and theory, and assemble a remarkable varied ecological environment. Within the functional scope of the platform, provide innovation and carving out information resources for users in need, enhance the clever processing stage of innovation and carving out facts in schools, recognize the adaptive scheduling of innovation and carving out facts, minimize the work depth of innovation and carving out records managers, enhance the deployment effectivity of innovation and carving out data in faculties and universities, and domesticate the innovation and carving out capability of university students in an all-round way. Promote the innovation and improvement of innovation and carving out things to do in universities.
The Arbitrating Effects of Leadership, Equity, and Integrity on Employee’s Organizational Commitment – A study of Hotels in Jharkhand

Research Aims: Improve organizational commitment through leadership, organizational equity, and Integrity. Design/methodology/approach: A survey method with path analysis techniques to test the direct effect and use Sobel test to test the Arbitrating effect of variable variables: Leadership (X1), Equity (X2), and Integrity (X3), on the Organizational Commitment (Y) at Hotels in India. Data were collected using a questionnaire. The number of samples for the study was 123 respondents drawn from a population of 153 people. Research Findings: Leadership, organizational equity, and Integrity have a positive and significant effect on organizational commitment. That the variable that most affects organizational commitment is the Integrity variable. Whereas for testing the Arbitrating effect, the results obtained are Arbitrating effects of leadership on organizational commitment through Integrity, there is an Arbitrating effect of leadership on organizational commitment through equity, and there is an Arbitrating effect of organizational equity on organizational commitment through Integrity, with the number of Arbitrating effects. It was found that the Arbitrating effects of leadership through equity showed greater results than through Integrity. Theoretical Contribution/Originality: The effect of leadership, equity, and Integrity to increase organizational commitment. Managerial Implication in the South East Asian context: A great organizational commitment from human resources in a hotel, management of hotel could improve the business and adapt in response to situation changes.&#x0D; Research limitation &amp; implications: management of hotels should find a strategic point how to improve organizational commitment of their employees to their company.
Prospectivity Mapping Using Stream Sediment Geochemistry along the Orange River Catchment for Base Metal, Prieska, Northern Cape, South Africa

The Areachap Terrane, which is part of the Namaqua Sector of the Namaqua-Natal Belt in the Northern Cape Province, host volcanic-hosted Zn-Cu deposits at volcanic centres. The primary objective was to map Volcanogenic Massive Sulphide (VMS) mineralisation, determine the heavy metal contents of sediments, locate the source of anomalies and delineate targets for follow-up studies. Nine thousand three hundred and fourteen stream sediments samples collected were analysed using XRF. The element associated with their respective lithostratigraphy was calculated using spatial joint analysis tool. ArcGIS was used to display uni-elements maps and relevant multi-element maps. The delineated potential VMS mineralisation target is considered for further follow-up study. The M23 and M24 anomalies are delineated for Cu_Ni mineralisation. M23 and M24 anomalies are sourced from ultramafic debris transported from the Ghaap Group; however, this potential target will require follow-up studies for verification. The correlation between the Cu-Pb-Zn anomaly with alkali elements (Nb, Zr, Th, and U) and REEs (in Table 9) suggests there is a possibility that the M26–M29 anomaly is alkali-granitic genetic origin. The As, Ba, Ce, Cr, Cu, Hf, Nd, Ni, Rb, Sr., S, V, Zr and Zn contents showed a heterogeneous spatial distribution, reflected by high coefficient of variation and large standard deviation.
Analysis of Multiple Overlapping Paths algorithms for Secure Key Exchange in Large-Scale Quantum Networks

Quantum networks open the way to an unprecedented level of communication security. However, due to physical limitations on the distances of quantum links, current implementations of quantum networks are unavoidably equipped with trusted nodes. As a consequence, the quantum key distribution can be performed only on the links. Due to this, some new authentication and key exchange schemes must be considered to fully benefit from the unconditional security of links. One such approach uses Multiple Non-Overlapping Paths (MNOPs) for key exchange to mitigate the risk of an attack on a trusted node. The scope of the article is to perform a security analysis of this scheme for the case of both uncorrelated attacks and correlated attacks with finite resources. Furthermore, our analysis is extended to the case of Multiple Overlapping Paths (MOPs). We prove that introducing overlapping paths allows one to increase the security of the protocol, compared to the non-overlapping case with the same number of additional links added. This result may find application in optimising architectures of large-scale (hybrid) quantum networks.
Unlimited Lives: Secure In-Process Rollback with Isolated Domains

The use of unsafe programming languages still remains one of the major root causes of software vulnerabilities. Although well-known defenses that detect and mitigate memory-safety related issues exist, they don't address the challenge of software resilience, i.e., whether a system under attack can continue to carry out its function when subjected to malicious input. We propose secure rollback of isolated domains as an efficient and secure method of improving the resilience of software targeted by run-time attacks. We show the practicability of our methodology by realizing a software library for Secure Domain Rollback (SDRoB) and demonstrate how SDRoB can be applied to real-world software.