bluuebunny/crossref_metadata_2025 huggingface dataset:
Transaxillary endoscopic surgery in the treatment of congenital muscular torticollis: The first case in Vietnam
Authors: Vũ Trung Trực , Bùi Mai Anh
Published: June 2022

Tóm tắt
Xơ cơ ức đòn chũm bẩm sinh gây ra bởi sự xơ hóa một hoặc cả hai bó của cơ này, trong một số trường hợp có thể gặp xơ hóa kèm theo của các tổ chức xung quanh như cơ bám da cổ, cơ bậc thang hoặc biến dạng của cột sống cổ. Phương pháp điều trị phẫu thuật kinh điển là mở các đường rạch ở vùng cổ mặt để giải phóng điểm bám của cơ. Các đường rạch này luôn để lại sẹo ở vùng dễ nhìn thấy gây ảnh hưởng lâu dài đến thẩm mỹ và tâm lý của người bệnh. Sự ra đời của phẫu thuật nội soi giúp các phẫu thuật viên có thể giấu sẹo vào các vùng ít gây ảnh hưởng thẩm mỹ. Tác giả thông báo trường hợp đầu tiên được phẫu thuật điều trị vẹo cổ do xơ cơ ức đòn chũm qua nội soi đường nách ở Việt Nam. Người bệnh nữ 24 tuổi, xơ cơ ức đòn chũm bẩm sinh bên phải gây vẹo cổ 18 độ, được phẫu thuật nội soi với 3 lỗ ở đường nách phải, giải phóng chỗ bám cả hai bó đòn và bó ức. Sau mổ 3 tháng, không còn vẹo cổ, sẹo mổ vùng nách đẹp, không có biến chứng nào được ghi nhận.
Từ khóa: Vẹo cổ, xơ cơ ức đòn chũm, phẫu thuật nội soi.

Abstract
The cause of congenital muscular torticollis is fibrosis of one or two heads of sternocleidomastoid muscle. In serve cases, it may involve the plastyma, scarlene muscles and cervical scoliosis. The conventional surgical method is release origins of the muscle through facial or neck incisions which leave visible scar. Endoscopic helps to hide the surgical scars over invisible areas. The author reports the first transaxillary endoscopic release of restricting bands in congenital muscular torticollis in Vietnam. A 24-year-old woman was treated with this technique, Cobbs angle improves from 18 pre-op to 0 post-op, fine and invisible scar was achived without any complication.
Keywords: Wryneck, congenital muscular torticollis, endoscopic surgery.
From theory to practice in Difficult Airway Management: A report of 3 cases
Authors: Đào Thị Kim Dung
Published: June 2022

Tóm tắt
Thông khí và kiểm soát hô hấp trong gây mê phẫu thuật là vấn đề quan trọng hàng đầu mà bác sỹ gây mê hồi sức đặc biệt quan tâm. Thông khí không tốt, không hiệu quả sẽ gây ra tử vong ngay hoặc để lại nhiều di chứng cho người bệnh suốt đời, nhất là tổn thương không hồi phục của hệ thần kinh trung ương. Mặt khác, việc chậm hoặc không kiểm soát được đường thở cũng là một trở ngại trong phẫu thuật và cũng là mối lo ngại của các phẫu thuật viên. Đôi khi, phẫu thuật viên cũng phải phối hợp gây mê hồi sức ở giai đoạn cuối cùng là mở khí quản cấp cứu. Tỷ lệ đặt ống nội khí quản khó trong gây mê thay đổi từ 3 - 18% và không thông khí được dẫn tới tử vong chiếm khoảng 5,9% các trường hợp.
Nhân 3 trường hợp đặt nội khí quản khó tại khoa Gây mê 2 - Trung tâm Gây mê và Hồi sức ngoại khoa - Bệnh viện Hữu nghị Việt Đức, chúng tôi muốn giới thiệu các nguyên tắc chung khi kiểm soát một đường thở khó và những cập nhật năm 2021 về xử trí đường thở khó trong gây mê hồi sức.
Từ khóa: Nội khí quản khó, gây mê nội khí quản, đường thở khó.

Abstract
Ventilation and respiratory management in anesthesia are the most important issues that anesthesiologists must pay special attention to. Ineffective ventilation will cause the patient to die immediately or leave many sequelae for the patient after, especially the irreversible damage of the central nervous system. On the other hand, slow or uncontrolled airway is not only an obstacle in surgery but also a concern of surgeons. Sometimes, the surgeon is also the team supporting the anesthesiologists to resuscitate in the final way-emergency tracheostomy. The incidence of difficult intubation during anesthesia varies from 3 to 18% and the mortality rate causing by failed intubation is about 5.9%.
With 3 difficult intubated cases at the Department of Anesthesiology 2 - Center for Anesthesia and Surgical Intensive care - Viet Duc University Hospital, we would like to introduce the general principles when management of a difficult airway and the 2021 update on difficult airways society in anesthesiology.
Keywords: Difficult intubation, general anesthesia, difficult airway.
Initial assessment of the results of laparoscopic surgery for pancreatic stones due to chronic pancreatitis at Hue Central Hospital
Authors: Đặng Ngọc Hùng ,   Đặng Như Thành, Lê Trọng Thái, Trần An Phong
Published: June 2022

Tóm tắt
Đặt vấn đề: Viêm tụy mạn là bệnh lý khá phổ biến. Quá trình canxi hóa của viêm tụy mạn gây ra sỏi tụy. Phẫu thuật điều trị sỏi tụy do viêm tụy mạn đặt ra khi người bệnh điều trị bảo tồn không đáp ứng hoặc kèm theo tổn thương khu trú ở tụy và các tạng lân cận. Phẫu thuật nội soi (PTNS) điều trị sỏi tụy do viêm tụy mạn mang lại nhiều lợi ích cho người bệnh và được ứng dụng ngày càng nhiều trên thế giới, tuy nhiên số lượng báo cáo tại Việt Nam còn hạn chế.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả tiến cứu trên 4 người bệnh chẩn đoán xác định sỏi tụy do viêm tụy mạn được chỉ định PTNS Partington-Rochelle tại Bệnh viện Trung Ương Huế từ tháng 3/2020 đến tháng 6/2021.
Kết quả: Tuổi trung bình là 38 (22 - 41 tuổi), 3/4 người bệnh tiền sử sử dụng rượu và/hoặc thuốc lá. 2 người bệnh có nang giả tụy kèm theo. Thời gian phẫu thuật trung bình 165 phút (150 - 180 phút), lượng máu mất trung bình 75 ml (50 - 100ml), thời gian nằm viện trung bình 9 ngày (8 - 10 ngày). Không có trường hợp biến chứng hay mổ lại. Kết quả sớm 3/4 người bệnh đạt tốt, 1 người bệnh có kết quả trung bình. Kết quả xa 4/4 người bệnh đạt tốt, trở lại sinh hoạt bình thường.
Kết luận: PTNS Partington-Rochelle là lựa chọn tốt đối với người bệnh sỏi tụy do viêm tụy mạn có chỉ định phẫu thuật bởi những lợi ích của điều trị xâm nhập tối thiểu, tính an toàn và hiệu quả trong điều trị viêm tụy mạn.
Từ khóa: Sỏi tụy, viêm tụAbstract
Introduction: Chronic pancreatitis is a common disease. The calcification of chronic pancreatitis causes pancreatic ductal calculus. Surgery is indicated if conservative treatment is failure or the pancrea is accompanied by localized damage. In recent years, laparoscopic pancreatic procedures of chronic pancreatitis have developed rapidly, brought about many benefits to patients and been adapted commonly in the world, but the number of reports in Vietnam is still limited.
Patients and Methods: A prospective study on 4 patients who underwent laparoscopic longitudinal pancreaticojejunostomy (Partington-Rochelle) for chronic pancreatitis from March 2020 to June 2021.
Results: Mean age was 38 (22 - 41 years), 3 patients had history of alcohol and/or tobacco use. 2 patients had pancreatic pseudocyst. Mean operation time was 165 minutes (150 - 180 minutes), mean quantity of blood loss was 75 ml (50 - 100 ml), mean hospital stay was 9 days (8 - 10 days). There was no cases of complications or reoperation. All patients achieved good result and returned to normal activities.
Conclusion: Laparoscopic longitudinal pancreaticojejunostomy (Partington-Rochelle) is a technically feasible, safe and effective surgical procedure in selected patients with pancreatic ductal calculus.
Keywords: Pancreatic ductal calculus, chronic pancreatitis, laparoscopic longitudinal pancreaticojejunostomy, Partington-Rochelle
y mạn, kỹ thuật Partington-Rochelle
Causality Learning with Wasserstein Generative Adversarial Networks
Authors: Petkov Hristo , Hanley Colin , Dong Feng
Published: June 2022

Conventional methods for causal structure learning from data face significant challenges due to combinatorial search space. Recently, the problem has been formulated into a continuous optimization framework with an acyclicity constraint to learn Directed Acyclic Graphs (DAGs). Such a framework allows the utilization of deep generative models for causal structure learning to better capture the relations between data sample distributions and DAGs. However, so far no study has experimented with the use of Wasserstein distance in the context of causal structure learning. Our model named DAG-WGAN combines the Wasserstein-based adversarial loss with an acyclicity constraint in an auto-encoder architecture. It simultaneously learns causal structures while improving its data generation capability. We compare the performance of DAG-WGAN with other models that do not involve the Wasserstein metric in order to identify its contribution to causal structure learning. Our model performs better with high cardinality data according to our experiments.
Performance Evaluation of Yolov4 and Yolov4- Tiny for Real-time Face-mask Detection on Mobile Devices
Authors: Ntzelepi Katerina , Ε. Filippakis Michael , Eleni Poulou Maria , Angelakis Athanasios
Published: June 2022

The viral outbreak of COVID-19 that started in the year 2019, radically changed our everyday life, with a detrimental impact on the simple, daily habits of citizens. In many countries around the world, the usage of mask is necessary as a protection measure against covid-19. Every service, organization, various stores, schools, universities, hospitals, companies and many other places, which are attended by hundreds of people every day, make the use of a mask necessary to enter them. This fact requires the control of the persons when they enter the respective spaces to determine if they are wearing a mask when entering the area. In this research we compared performance on YOLOv4 and the Tiny-YOLOv4 algorithm on images, recorded video, and real time video. In the next step we will implement the YOLOv4 TFlite and Tiny YOLOv4 TFlite model for mobile applications using the Android Studio platform. On the proposed dataset YOLOv4 achieved 92.91% mAP and training took around 2 hours for 1000 iterations. On the other hand, YOLOv4-tiny achieved 74.75% mAP and training took less than half an hour for 1000 iterations. For further improvement we convert YOLOv4 and YOLOv4-tiny to YOLOv4 TFlite and YOLOv4-tiny TFlite respectively. After this step we compare YOLOv4 TFlite and YOLOv4-tiny TFlite model performance on mobile device. YOLOv4 TFlite achieved 96.92% accuracy on real time video at 5017ms and YOLOv4-tiny 74.72% accuracy on real time video at 491ms.
Data Standardization using Deep Learning for Healthcare Insurance Claims
Authors: Renault Kaelan , R. Abdel-Dayem Amr
Published: June 2022

This paper presents a deep learning model that can be used for data standardization tasks. With applications such as insurance processing, accounting, and government forms processing – being able to standardise data that is presented in a nonstandard format would be impactful across many industries. Restaurant receipt images from CORD dataset were used to build the model. These images were previously processed with OCR then pre-processed to create JSON files that contain the OCR'ed data and metadata of the information on those images. The main challenge in building the model is that the size of the data set is very small (1,000 images). In order to overcome this challenge, an augmentation stage was employed to generate more training samples out of the existing ones. While this standardization problem can be modelled as a classification task, it has been decided to attempt using a regression model that can predict the total on a receipt.
Investigating Multi-feature Selection and Ensembling for Audio Classification
Authors: Turab Muhammad , Kumar Teerath , Bendechache Malika , Saber Takfarinas
Published: June 2022

Deep Learning (DL) algorithms have shown impressive performance in diverse domains. Among them, audio has attracted many researchers over the last couple of decades due to some interesting patterns–particularly in classification of audio data. For better performance of audio classification, feature selection and combination play a key role as they have the potential to make or break the performance of any DL model. To investigate this role, we conduct an extensive evaluation of the performance of several cutting-edge DL models (i.e., Convolutional Neural Network, EfficientNet, MobileNet, Supper Vector Machine and Multi-Perceptron) with various state-of-the-art audio features (i.e., Mel Spectrogram, Mel Frequency Cepstral Coefficients, and Zero Crossing Rate) either independently or as a combination (i.e., through ensembling) on three different datasets (i.e., Free Spoken Digits Dataset, Audio Urdu Digits Dataset, and Audio Gujarati Digits Dataset). Overall, results suggest feature selection depends on both the dataset and the model. However, feature combinations should be restricted to the only features that already achieve good performances when used individually (i.e., mostly Mel Spectrogram, Mel Frequency Cepstral Coefficients). Such feature combination/ensembling enabled us to outperform the previous state-of-the-art results irrespective of our choice of DL model.
AODVMO: A Security Routing Protocol using One-Time Password Authentication Mechanism based on Mobile Agent
Authors: D. Le Huy , T. Luong Ngoc , V. Nguyen Tam
Published: June 2022

Ad hoc On-demand Distance Vector (AODV) routing protocols is one of the most popular reactive protocol used for Mobile Ad hoc Network and is a target of many Denial-of-Service attack types. In this article, we propose a solution for Initialization and Providing the OTP based on Mobile Agent (IPOM). We also propose a Security Routing Protocol using One-Time Password Authentication Mechanism based on Mobile Agent (AODVMO) by extending the original AODV protocol and integrating IPOM solution. Analysis results confirm that AODVMO can prevent almost current routing protocol attack types, such as Blackhole / Sinkhole, Grayhole, Whirlwind, and Wormhole types. Using NS2, we evaluate the packet overhead for providing OTP, the security performance on random waypoint network topology under Blackhole attacks and the effect of security mechanism to the original protocol. Simulation results show that the proposed solution works well, the performance of AODVMO is good under Blackhole attacks, and slightly reduced when integrating the security mechanism in scenarios without attacks.
Cluster Based Routing using Energy and Distance Aware Multi-Objective Golden Eagle Optimization in Wireless Sensor Network
Authors: Srinivasalu Gundeboyina , Umadevi Hanumanthappa
Published: June 2022

In recent years, WSNs have attracted significant attention due to the improvements in various sectors such as communication, electronics, and information technologies. When the clustering algorithm incorporates both Euclidean distance and energy, it automatically decreases the energy consumption. So, the major goal of this research is to reduce energy consumption for prolong the lifetime of the network. In order to achieve an energy-efficient process, Energy and Distance Aware Multi-Objective Golden Eagle Optimization (ED-MOGEO) is proposed in this research. In addition, this proposed solution reduces retransmissions and delays to improve the performance metrics. And so, this research carried out two major fitness functions (Euclidean distance and energy) for creating an energy-efficient WSN. Furthermore, energy consideration is used to reduce the nodes unavailability which results in packet loss during the transmission. For generating the routing path between the source and the Base Station (BS), the ED-MOGEO algorithm is used. From the simulation results, it shows that Proposed ED-MOGEO achieves better performances in terms of residual energy (14.36 J), end-to-end delay (12.9 ms), packet delivery ratio (0.994), normalized routing overhead (0.11), and throughput (1.131 Mbps) when compared to existing Cluster-Based Data Aggregation (CBDA) and Elephant Herding Optimization (EHO)-Greedy methods.
Probabilistic based Optimal Node Localization in Wireless Sensor Networks
Authors: Jadhav Souparnika , K. N Nagesh
Published: June 2022

Localization is one of the most important technologies for many applications in wireless sensor networks (WSNs). Node localization is the process of discovering the exact location of the node. If the number of nodes and network size increase, it becomes very arduous to localize the nodes whose result leads to complexity and path loss. In this paper, we proposed an approach called probabilistic based optimal node localization to obtain the location of node in the WSNs. This approach provides an enhanced channel pathloss model by capturing the features of the additive noise in WSN. In addition, the complexity has been minimized by discovering a lower bound of the non-convex function. The problem of non-convex optimization and subsequent nonlinear is solved with the help of relaxation to achieve a sub-optimal solution. Simulation results show that our proposed localization approach has got better performance for considered scenario settings.
Advanced Service Data Provisioning for Real-Time Management of Ongoing Cellular Communication Networks
Authors: E. Belkin Mikhail , Zhukov Leonid , S. Sigov Alexander , G. Vasil’ev Mikhail
Published: June 2022

A new cost-efficient concept to realize real-time management and monitoring of quality-of-service metrics and other service data in 5G and beyond access network using a separate return channel based on a vertical cavity surface emitting laser in the optical injection locked mode that simultaneously operates as a laser source and a resonant cavity enhanced photodetector, is proposed and discussed. The feasibility and efficiency of the proposed approach are investigated and confirmed by a proof-of-concept experiment when optically transceiving high-speed digital signals with multi-position quadrature amplitude modulation of a radio-frequency carrier.
A New Approach to Improve the Performance of OFDM Signal for 6G Communication
Authors: S.M Usha
Published: June 2022

The orthogonal frequency division multiplexing is a very efficient modulation technique that can achieve very high throughput by transmitting many carriers simultaneously and it is spectrally efficient because of the proximity of the subcarriers. OFDM is used in 5G communication for higher data transmission. 6th generation communication also demands OFDM, since it is more spectrally efficient and suitable for high data transmission. The drawback of the OFDM includes peak to average power ratio and sensitivity to carrier offsets and drifts. The usage of a non-linear power amplifier causes the signal spreading and leads to inter-modulation and signal constellation distortion. These two distortions have an impact on the signalto-noise ratio and hence reduce the efficiency. The methods used to reduce PAPR are clipping and filtering, selective mapping, partial transmit sequence, tone reservation, and injection and non-linear commanding. The drawbacks of the above methods are computational complexity, spectrum inefficiency, increase in bit error rate and PAPR rate. In this work, three effective methods are discussed and compared to improve the performance parameters. These are adaptive peak window method based on harmonize clipping, harmonics kernel adaptive filter and Slepian-based flat-top window techniques are presented to reduce the BER, PAPR, and CCDF to improve the signal-to-noise of the system. This window technique averages out the noise spread out in the spectrum and thus reduces the signal loss by minimizing peak to average power ratio. The results are analyzed and compared with the existing conventional methods. Finally, the reductions in PAPR, BER and CCDF obtained are discussed in the results and comparison section. The proposed work has a higher signal-to-noise ratio than the conventional methods.
Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach
Authors: Le Hieu , Daryanto Taufiq , Zhafransyah Fabian , Wijaya Derry , Coppock Elizabeth , Chin Sang
Published: June 2022

This paper focuses on a referring expression generation (REG) task in which the aim is to pick out an object in a complex visual scene. One common theoretical approach to this problem is to model the task as a two-agent cooperative scheme in which a ‘speaker’ agent would generate the expression that best describes a targeted area and a ‘listener’ agent would identify the target. Several recent REG systems have used deep learning approaches to represent the speaker/listener agents. The Rational Speech Act framework (RSA), a Bayesian approach to pragmatics that can predict human linguistic behavior quite accurately, has been shown to generate high quality and explainable expressions on toy datasets involving simple visual scenes. Its application to large scale problems, however, remains largely unexplored. This paper applies a combination of the probabilistic RSA framework and deep learning approaches to larger datasets involving complex visual scenes in a multi-step process with the aim of generating better-explained expressions. We carry out experiments on the RefCOCO and RefCOCO+ datasets and compare our approach with other endto-end deep learning approaches as well as a variation of RSA to highlight our key contribution. Experimental results show that while achieving lower accuracy than SOTA deep learning methods, our approach outperforms similar RSA approach in human comprehension and has an advantage over end-to-end deep learning under limited data scenario. Lastly, we provide a detailed analysis on the expression generation process with concrete examples, thus providing a systematic view on error types and deficiencies in the generation process and identifying possible areas for future improvements.
Enabling Supply Chains by Adopting Blockchain Technology
Authors: Anand Atul , Seetharaman A , Maddulety K
Published: June 2022

This paper is aimed at studying the enablement of supply chains by adopting blockchain technology. The implementation of blockchain in supply chain management can solve the current issues faced in the supply chain ecosystem. Supply chains are part and parcel of every business and have multiple inefficiencies in the system. Some of these inefficiencies can be managed by usage of blockchain Platform .Technology, Intra-organizational, Inter-Organizational, external factors, and innovation are critically evaluated for adoption of blockchain in supply chain. A pilot study is conducted in form survey for analysis of these factors. Hypotheses are derived for these factors for quantitative research. Subsequently these hypotheses are examined with the help of ADANCO2.3 for structural equation modelling. As an outcome, it is evident that Innovation and External factors are significantly impacting the adoption of blockchain in supply chain management.
Blockchain Security : Enhanced Control Evaluation Approach to Protect Organizations’ Accounting Information
Authors: R. Otero Angel
Published: June 2022

Blockchain technology can revolutionize transaction processing and reimage organizations’ traditional business practices. The literature argues that blockchain may also hurt organizations when key controls necessary to guide its implementation are not in place. The literature points to inadequacies in blockchain implementations, particularly related to the effective selection and implementation of blockchain controls in organizations. This research develops an approach that addresses the weaknesses in the literature. Such approach will allow organizations to be more precise in their implementation of controls to achieve successful blockchain implementation. The proposed approach uses fuzzy set theory to prioritize business controls more precisely in organizations. It is argued that fuzzy set theory allows for a more accurate assessment of imprecise criteria than traditional assessment methodologies, and therefore generates more accurate assessments critical for decision-making. Through a case, the developed approach proved successful in providing accurate implementation of controls to protect organizations’ accounting information.
Context-Aware Security Mechanism for Mobile Cloud Computing
Authors: Aroucha Cláudio , Felipe Pires Higo
Published: June 2022

The use of mobile devices is common among people and something essential these days. These devices have limited resources which makes it critical to provide security without compromising user ergonomics, given the large number of cyberattacks that occur. This work proposes a context-aware security mechanism for Mobile Cloud Computing providing a security level of device data privacy from the analysis of the attributes of the network that is connected, available level of RAM, CPU, and battery at the time of communication. of data with the cloud. In addition, Transport Layer Security (TLS) technology is used to create a secure channel for sending data between the client and the server and implement the analysis of the mobile device context using Fuzzy logic. The impact of the proposed mechanism on mobile device performance was measured through stress tests. The proposed mechanism had a superior performance of 38% in the number of executions, 10% of memory, and 0.6% of CPU about the use of a single type of predefined symmetric algorithm for private network environment.
Spatio-Temporal Characterization with Wavelet Coherence: Anexus between Environment and Pandemic
Authors: U. Sikder Iftikhar , J. Ribero James
Published: June 2022

Identifying spatio-temporal synchrony in a complex, interacting and oscillatory coupled-system is a challenge. In particular, the characterization of statistical relationships between environmental or biophysical variables with the multivariate data of pandemic is a difficult process because of the intrinsic variability and non-stationary nature of the time-series in space and time. This paper presents a methodology to address these issues by examining the bivariate relationship between Covid-19 and temperature time-series in the time-localized frequency domain by using Singular Value Decomposition (SVD) and continuous cross-wavelet analysis. First, the dominant spatio-temporal trends are derived by using the eigen decomposition of SVD. The Covid-19 incidence data and the temperature data of the corresponding period are transformed into significant eigen-state vectors for each spatial unit. The Morlet Wavelet transformation is performed to analyse and compare the frequency structure of the dominant trends derived by the SVD. The result provides cross-wavelet transform and wavelet coherence measures in the ranges of time period for the corresponding spatial units. Additionally, wavelet power spectrum and paired wavelet coherence statistics and phase difference are estimated. The result suggests statistically significant coherency at various frequencies providing insight into spatio-temporal dynamics. Moreover, it provides information about the complex conjugate dynamic relationships in terms phases and phase differences.
Software Build Automation Tools a Comparative Study between Maven, Gradle, Bazel and Ant
Authors: Prakash Mridula
Published: June 2022

The automated processes will play an increasingly vital role in continuous integration as the pace of design and development of new software picks up. With the importance of software build automation tools taking centerstage, the present paper undertakes a comparative analysis of three best available solutions - Maven, Gradle and Bazel. We aim to evaluate the solutions based on their efficiency and performance in the context of software build automation and deployment. There are some fundamental differences in the way each tools approach builds. The aim of this study is also to provide the reader with a complete overview of the selected build automation tools and, the relevant features and capabilities of interest. In addition, the paper leads to a broader view on the future of the build automation tools ecosystem.
Inherent Quality Metrics for Continuous Software Quality Enhancement
Authors: Luo Ning , Zhang Linlin
Published: June 2022

Traditional software quality metrics based on bug number and pass rate can only provide us afterthought post validation & product release. In this paper, we propose some new inherent software quality metrics for proactive quality control during development phase, including Lines of Code (LOC#), Cyclomatic Complexity and Code Churn. In this paper, citing one ultra-large-scale software - Intel Media Driver as one example, we introduce the reason to choose those metrics, our experience on leveraging those metrics to improve the software quality, and our turn-key solution for automatic metrics data collection and analysis. We expect the identified metrics can help more researchers to form the corresponding research agendas and the experiences sharing can help following practitioners to apply similar enhancements.
Devops Adoption in Information Systems Projects; A Systematic Literature Review
Authors: Jayakody J. A. V. M. K. , Wijayanayake W. M. J. I.
Published: June 2022

The word DevOps derives from two different words Development and Operations. DevOps has recorded as an interesting and novel approach adopted to the commonly used Agile software development methodology. It raised agility of the software development process. Practical issues of Agile methodology emphasize the requirement for collaboration of software development and operating teams. This collaboration completed by the DevOps approach engages with the Agile methodology to improve the quality, performance, and speed of the software developments. Since DevOps is an accentuating approach in the software development industry, this research aimed to conduct a literature review to study the evolution of the DevOps approach and its adoption in information systems projects. This target has accomplished by reviewing the Agile methodology, issues of the Agile methodology, DevOps approach, challenges and overcoming strategies of DevOps, and success factors of the DevOps approach. Finally, the paper provides better acquaintance about the DevOps adoption in Information System projects developments.
Enhanced Fuzzing System for Proactive Security Gap Exposure
Authors: Zhang Linlin , Luo Ning
Published: June 2022

Lots of safety vulnerabilities have been harming software and hardware. Grey box fuzzer is one of the most successful methods for automatic vulnerability detection. Most research focus on using fuzzer for SW quality check only. This paper introduced how to leverage fuzzer to exposure security gap as early as possible. Conventional Grey box Fuzzers like AFL can open perform fuzzing against the whole input and spend more time on smaller seeds with lower execution time, which significantly impact fuzzing efficiency for complicated input types. In this work, we introduce one intelligent grey box fuzzing for Intel Media driver, MediaFuzzer, which can perform effective fuzzing based on selective fields of complicated input. Also, with one novel calling depth-based power schedule biased toward seed corpus which can lead to deeper calling chain, it dramatically improves the vulnerability exposures (~6.6 times more issuesexposed) and fuzzing efficiency (~2.7 times more efficient) against the baseline AFL for Intel media driver with almost negligible overhead.
Enhancement Integrated Quality Management in Islamic Education Institutions
Authors: Asnawan Asnawan
Published: June 2022

The management in TQM must be directed at a main goal, namely customer satisfaction, what management does is useless if it does not create customer satisfaction. Teamwork in handling projects of improvement or development of the quality of education is done through empowerment (empowerment) employees and its working groups by giving greater responsibility. The existence of cooperation in an educational institution is the main capital in achieving quality and stakeholder satisfaction through a process of continuous quality improvement. Teachers, staff and everyone in educational institutions also provide services to their colleagues and fellow internal customers. Poor internal relations will hinder the development of an institution. One of the goals of TQM is to transform a school institution into a team to achieve a single goal of satisfying all customers. The role of parents in children's self-motivation from an early age is a big asset for children's success in school.

Keywords: Integrated Quality Management, Islamic Education Institution
The Competency of Science Teachers in Implementation of Online Learning In Covid-19 Pandemic Period at SMPN 2 Kramatwatu Serang
Authors: Khadijah Ijah
Published: June 2022

The purpose of this study was to describe the competence of science teachers at the junior high school level in implementing online learning during the Covid-19 pandemic. Explain how the steps that science teachers must take in overcoming the challenges of exact learning (IPA), as well as how to deal with the psychological dynamics of students who experience difficulties in the science learning process. The method used is a qualitative approach. Data collection techniques used were interviews, observation, documentation study, and audio-visual information. The data analysis used is to draw conclusions to produce descriptive meanings as the final result of the research process. The conclusion of this study is that the competence of science teachers in implementing learning during the Covid 19 pandemic at SMPN 2 Kramatwatu, Serang consists of 1) teacher skills in operating internet-based technology devices into online learning; 2) teacher skills in managing or managing situations faced when online learning is implemented; 3) teacher skills in understanding the psychological conditions and mental health of students; 4) teacher skills in making innovations and creativity in science learning.

Keywords: Competence, Science Teacher, Online Learning, Covid-19
The Implementation of Educational Facilities and Infrastructure Management in Supporting Learning Process during Pandemic Covid-19 (Study at SMA Plus As-Salaam Bandung)
Authors: Muslimin Erwin , Fajrussalam Hisny , Syah Muhibbin , Erihadiana Mohamad
Published: June 2022

Talking about the world of education was certainly not be separated from the facilities and infrastructure that available in schools. So, it can be achieve an optimal and maximum learning process. Educational facilities and infrastructure in a school are very supportive of the development and construction of a superior and quality educational institution. In today's modern era, all educational institutions are competing to complement existing educational facilities and infrastructure in order to support a good and optimal learning process, especially during pandemic Covid-19. Educational institutions or schools as much as possible provide good and quality learning supported by educational facilities or facilities and infrastructure to support learning during the Covid-19 pandemic without reducing the quality of the learning process itself.. This research aims to determine the extent of management of educational facilities or facilities and infrastructure in supporting the learning process during the Covis-19 pandemic at SMA Plus As-Salaam Bandung. This research was conducted by means of interviews or observations about the implementation of educational facility management in supporting the learning process at SMA Plus As-Salaam which is located at the Cibaduyut canal road, Dayeuh Kolot sub-district, Bandung Regency, West Java.

Keywords: Supporting Learning Process, Learning of Pandemic Covid-19, Management Education
The Effect of Teaching Style and Teacher’s Creativity to the Student’s Achievement at Christian Vocational High School of Tagari Rantepao
Authors: Panggua Marni Sanda , Sunaryo Tarsicius , Kailola Lisa G.
Published: June 2022

The article was to analyze the effect of teaching style and teacher’s creativity for improving the student’s achievement at Christian Vocational School of Tagari Rantepao. This research was quantitative with an expost facto research. The sample was 94 teachers at Christian Vocational High School of Tagari Rantepao. Data obtained through research instruments by questionnaires which given directly. An analyzing data was correlation and multiple linear regression analysis with SPSS application version 25. The result showed that, teaching style has significant effect on student’s achievement at Christian Vocational School of Tagari Rantepao. It can be seen from the result of data analysis where the tvalue 4,699 > ttable 2,000. The significant effect of teaching style on student’s achievement as 68,1%. Moreover, multiple linear regression analysis showed that teacher’s creativity also has significant effect on student’s achievement at Christian Vocational School of Tagari. It can be proved from the result of data analysis where the tvalue 3,051 > ttable 2,000. The significant effect of teacher’s creativity on student’s achievement as 37,2%. Teaching style (X1) and teacher’s creativity (X2) can explain student’s achievement. The result of data analysis also showed that Fcount 41,34 > Ftable 3,15. The determination coefficient as 0,579 means 57,9% the effect of teaching style and teacher’s creativity on student’s achievement at Christian Vocational School of Tagari Rantepao.

Keywords: Learning Style, Teacher Creativity, Teaching Style
The Effect of Occupational Safety and Health on Employee Work Productivity
Authors: Sattar Sattar , Minhani Minhani , Khotimah Ramdiyah Nurul
Published: June 2022

The purpose of this study was to determine the effect of occupational safety and health on work productivity of employees at PT. Cipta Sumina Indah Satresna Samarinda. This study uses two independent variables, namely safety and health with one dependent variable, namely employee productivity. After reviewing the literature and the field and formulating hypotheses, the data in this study were collected through distributing questionnaires to 54 employees at PT. Cipta Sumina Indah Satresna as the research sample. The sampling technique used is purposive sampling. The data analysis method used is quantitative analysis, namely validity, reliability, multiple linear regression analysis, f test, t test, and coefficient of determination. From the results of the analysis of the discussion carried out by the author, the results of the study show that the indicators in this study are valid and reliable.

Keywords: Occupational Safety, Work Productivity, Employee Work Productivity
The Influence of Learning Method toward Learning Outcome Kalkulus Diferensial of Students’ Mathematic Education
Authors: Qomariyah Siti , Rosyidah Ummi
Published: June 2022

This article aimed to find out the effect of learning methods on differential calculus learning outcomes and knowing how much influence learning methods on differential calculus learning outcomes of Mathematics Education students at Universitas Nahdlatul Ulama Lampung. This research was quantitative research with survey method. The research sample was 34 students. The collecting data used close questionnaire to measure the variables of learning methods and documentation to determine the learning outcomes of the differential calculus course. The test of the learning method questionnaire obtained 43 valid statement items with a reliability of 0.90. The result shows that there was an influence between the way of learning on the learning outcomes of Differential Calculus in Mathematics Education students at Nahdlatul Ulama University Lampung. Analysis of the data used is simple regression, with the results obtained by the correlation tcount of 3.148, ttable of 1.694 at a significance level of 5%, and R2 of 0.236, then the results obtained tcount 3.146 > ttable 1.694. Hence, it can be concluded that there was an effect of learning methods on the learning outcomes of Differential Calculus in Mathematics Education Students at Nahdlatul Ulama University Lampung.

Keywords: Learning Outcome, Kalkulus Diferensial, Learning Method
Improving Student Polite Character in Online Learning in the Covid-19 Pandemic Period
Authors: Islamy Mohammad Rindu Fajar , Komariah Kokom Siti , Kurniani Elis , Yusfiana Faiza Maila , Marwah Syifa
Published: June 2022

This study aims to track and formulate the strategies of teachers in building students' ethical manners during the online learning process which tends to decrease or even disappear. Since the presence of the Covid-19 virus outbreak, the learning system has transitioned from offline to online as a measure to control the wider virus outbreak. However, this online learning model still has many obstacles that arise, one of which is the decline in the polite character of students during implementation. When the camera is off, students are not known whether they listen to the teacher's explanation or not, several cases show that students sometimes do not follow lectures interactively, even though they are joined in a zoom link. If this kind of habituation is not responded to immediately by education practitioners, it can be fatal for the students' character to shift towards a negative direction, especially the character of politeness. This research study was carried out using a qualitative approach, where data collection used interview, observation and documentation techniques for five high school teachers from three different schools. Data analysis uses Miles and Huberman's work tools: Display data, Reduction data, Drawing, and Conclusion. The results of the study show several important points: 1) Online learning has an impact on reducing children's character, 2) online learning challenges are difficult to monitor student involvement in learning, 3) strategies for improving polite character include providing clear rules, reward and punishment systems, habituation through teacher example. , learning contracts between teachers and students, consistent monitoring of student assignments, giving pre-tests 5 minutes before learning, providing materials related to manners and 4) character building requires integral cooperation from all parties, both teachers, parents, students , the community, and the school.

Keywords: Direct Learning Model, Learning Outcome, Classroom Action Research
Students Perceptions of Mathematics Education on Online Learning at STKIP Tunas Palapa Central Lampung
Authors: Rini Ambar Prisetia
Published: June 2022

The Covid-19 pandemic has brought major changes to the world, including in the field of education. In an effort to contain the spread of Covid-19, the Ministry of Education, Culture, Research, and Technology has made a policy regarding the online teaching and learning process. The article aimed to determine student perceptions of online learning during the Covid-19 pandemic. This research used a quantitative descriptive analysis method with research instruments in the form of questionnaires distributed online by using google forms. The number of samples in this study were 40 students of the Mathematics Education Study Program at STKIP Tunas Palapa that has been involved online learning during the Covid-19 pandemic. The results show that the majority of students agree more with offline learning in face-to-face classes than online learning. Constraints faced during online lectures make students want to renew the education system for the next lecture. The government needs to ensure the availability of adequate internet network access in all regions and campuses provide subsidized internet quota b for students. So that lecture activities going well and as expected for the learning process.

Keywords: Students’ Perceptions, Mathematics Education, Online Learning
Sociedade do conhecimento ou sociedade intangível: a sociedade da Coca-Cola, da Microsoft, Hiit
Authors: Branca Suelen Cristina De Araujo Vila , Nogas Claudio , Pereira Leandro Ângelo , Silva Sidney Reinaldo Da , Schier Carlos Ubiratan Da Costa
Published: June 2022

A pesquisa busca trazer uma visão da importância se de abordar sobre a sociedade do conhecimento dentro do âmbito contábil, abordando os principais conceitos, principais autores bem como a evolução do tema. O objetivo deste artigo é realizar uma análise bibliométrica sobre sociedade do conhecimento dentro da área contábil. Para atender ao objetivo geral, os objetivos específicos foram desmembrados em: efetuar um levantamento quantitativo sobre sociedade do conhecimento no âmbito contábil dentro da base de dados da Biblioteca Digital Brasileira de Teses e Dissertações (BDTD) e da base de dados Web of Science; Levantar a evolução temporal sobre sociedade do conhecimento dentro do âmbito contábil e construir um mapeamento nas regiões brasileiras e dos países que abordam sobre o tema; As publicações de interesse foram localizadas por meio de consultas sobre a conciliação das palavras sociedade do conhecimento e contabilidade, através da base de banco de dados da Biblioteca Digital Brasileira de Teses e Dissertações utilizados como palavras-chave, considerando os anos de 2006 a 2021 e também na base de dados do dados Web of Science por meio da conciliação das palavras-chave “Knowledge Society” and “accouting”. De uma maneira geral nas duas bases de dados foram encontradas 14 publicações: 7 publicações na Web of science e 7 publicações também na BDTD. Das 14 publicações, sete foram no Brasil, 6 na Espanha e 1 no Canadá. A autora que mais publicou sobre o tema foi Popescu, com sete publicações. O ano que mais teve publicações foi o ano de 2019.
changes
Authors: Grigoryeva Elena
Published: June 2022

This year has brought many changes in different parts of the world: here it has caused a stir on the land, and there it has calmed it down; here a luminary has set, there another one has begun to shine; here the world has learnt a new mystery of being, and there dwellings and generations have crumbled into ash.I. Goncharov. OblomovIf we continue the classic’s tirade, it should be noted that one of the changes has embraced not just separate parts, but the entire world. And that, of course, is the pandemic, with its insistent attempts to limit our freedoms, to force communication into the narrow confines of virtuality, and to change our way of life in general. Pandemic powerfully draws everyone’s attention, even from total digitalization and other progress.We confess immediately and frankly: we do not hope to cover the subject, it is too huge. What we put on the cover is not a claim to an exhaustive analysis of the topic, but rather a key word of the issue. So, CHANGES.The Russian government is putting forward a draft of the Eastern Turn. Its possible significance for the eastern regions of the country and for Irkutsk in particular is discussed by the members of the discussion club of pb (24). Another important and hotly debated change is related to global warming and its implications for geopolitics.To what extent does this time of change repeat a previous similar period in the middle of the last century? What mistakes were made, what opportunities were not seized, and what can we now learn from past experiences? Academicians Kudryavtsev and Bokov (58) reflect on the changes that caused a significant stir in national architecture in the 1950s and 1960s.Although pushed aside from the forefront, digitalization continues to promise a variety of wonders. We are in for multiclouds, 6G, holographic and haptic communications, virtual doubles and the primacy of artificial intelligence. Such things as unprecedented phenomena of digital nomads will appear. How ready are we for this?

Our permanent author Peter Kapustin (32) asks a fateful question: will architecture together with the whole civilization dissolve in the accelerating stream of uncontrollable changes, or will it reassert itself as a full-fledged sphere of life, a bearer of civilization values?
Winners of the Governor’s Prize 2021 Album-catalogue about Baikal
Authors: Chertilov Alexei
Published: June 2022

The article presents an illustrated research album-catalogue “Baikal on postcards. 1898-1917. Historical and bibliographical album-catalogue” which received the Governor’s Prize 2021. The sites included in the catalog are briefly characterized. The innovative character and importance of the project is emphasized. The book review was published in Project Baikal journal (Medvedev, 2020).
Memorial Sites in St. Innokenty’s homeland
Authors: Chertilov Alexei
Published: June 2022

The article is devoted to the cultural heritage sites of memorial importance, which are included in the complex of the Cultural and Educational Center named after St. Innokenty Veniaminov opened in 2017 in his homeland, the Verkholensk village of Anga: the hut where he spent his childhood, and the foundations of the lost Church of the Prophet Elijah, in which he helped his uncle deacon in his divine service.