bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS EFEKTIVITAS DAN KONTRIBUSI PAJAK DAERAH SEBAGAI SUMBER PENDAPATAN ASLI DAERAH (PAD) DI KOTA SURABAYA
Authors: Melania Mimun
Published: April 2022

Penelitian ini bertujuan untuk mengetahui efektivitas dan kontribusi masing – masing Pos pajak daerah terhadap pendapatan asli daerah Kota Surabaya dari tahun 2015-2018.

Hal ini merupakan konsekuensi Pemerintah Daerah menjalankan otonomi daerah serta Desentralisasi, maka aspek pembiayaan juga ikut terdesentralisasikan

Metode penelitian ini menggunakan metode dokumentasi dan wawancara. 

Obyek penelitian ini adalah Badan Pengelolaan Keuangan dan Pajak Daerah Kota Surabaya mulai dari tahun 2015-2018.

Hasil penelitian menunjukan bahwa tingkat efektivitas pajak daerah yang tertinggi yaitu pajak bea perolehan hak atas dan bangunan yaitu ( 119,77%), dan tingkat efektivitas pajak daerah yang terendah yaitu pajak reklame (98,09%). Dan pos pajak daerah yang memberikan kontribusi terbesar selama empat tahun adalah pajak air tanah yaitu( 34,09 %) persen. Kemudian pos pajak daerah yang memberikan kontribusi yang paling terendah yaitu (1,51%). pajak hiburan  Berdasarkan hasil perhitungan analisis dan kontribusi tersebut seharusnya Badan Pengelolaan Keuanagan dan Pajak Daerah Kota Surabaya melakukan intensifikasi guna untuk meningkatkan pendapatan dari sektor pajak Daerah.
PENGARUH MANAJEMEN LABA DAN AGRESIVITAS PAJAK TERHADAP NILAI PERUSAHAAN PADA PERUSAHAAN SEKTOR OTOMOTIF DAN KOMPONEN DI BEI TAHUN 2015 – 2019
Authors: Lutviyana Dewi
Published: April 2022

Lutviyana Dewi, 16013008. Pengaruh Manajemen Laba dan Agresivitas Pajak Terhadap Nilai Perusahaan Pada Perusahaan Sektor Otomotif dan Komponen di BEI Tahun 2015-2019.

Rumusan masalah dalam penelitian ini adalah apakah manajemen laba dan agresivitas pajak berpengaruh terhadap nilai perusahaan pada perusahaan sektor otomotif dan komponen di BEI Tahun 2015-2019. Populasi dalam penelitian ini adalah seluruh perusahaan sektor otomotif dan komponen di BEI Tahun 2015-2019, pengambilan sampel pada penelitian ini menggunakan teknik purposive sampling. Metode yang digunakan adalah analisis regresi linier berganda.

Berdasarkan hasil analisis dan pembahasan, maka dapat disimpulkan bahwa, Variabel manajemen laba berpengaruh signifikan terhadap nilai perusahaan pada perusahaan otomotif dan komponen di Bursa Efek Indonesia Tahun 2015-2019 dengan arah yang positif dan Variabel agresivitas pajak berpengaruh signifikan terhadap nilai perusahaan pada perusahaan otomotif dan komponen di Bursa Efek Indonesia Tahun 2015-2019 dengan arah pengaruh yang negatif.
TINDAK PIDANA PORNOGRAFI DITINJAU DARI PERSPEKTIF HUKUM ISLAM
Authors: Mazaya Insi Hani
Published: April 2022

Pornografi menyerupai gurita yang menyiksa seluruh masyarakat. Pondasi dari banyak komponen antara lain desain wanita, media, menghitung jaring Pedoman yang berbeda diberikan untuk menenangkannya. Tetap tidak bisa membendung penyebarannya. Pornografi terletak di antara moral dan gaya pengukuran. Bicara tentang akhlak yang lurus, gaya berbicara tentang keunggulan Hukum Islam memiliki prinsip metodologi dan hubungan moral tersendiri dalam berbusana.
PENGARUH BUDAYA ORGANISASI DAN LINGKUNGAN KERJA TERHADAP KEPUASAN KERJA DAN KINERJA GURU SMK NU KEDUNGTUBAN KABUPATEN BLORA
Authors: Kurniyanto Wawan
Published: April 2022

Penelitian ini bertujuan untuk mendiskripsikan budaya organisasi, lingkungan kerja, kepuasan kerja dan kinerja guru di SMK NU Kedungtuban Blora. Mengetahui pengaruh langsung budaya organisasi, lingkungan kerja dan kepuasan kerja terhadap kinerja guru di SMK NU Kedungtuban Blora. Mengetahui pengaruh tidak langsung budaya organisasi dan lingkungan kerja terhadap kinerja guru melalui kepuasan kerja guru di SMK NU Kedungtuban Blora.

Populasi dalam penelitian adalah seluruh guru SMK  NU Kedungtuban Blora yang berjumlah 32 orang. Teknik pengambilan sampel yang digunakan pada penelitian ini adalah sensus sampling yang dikurangi pimpinan. Jadi, pada penelitian ini sampel penelitian sebanyak 31 orang, selanjutnya menjadi responden penelitian.

Pengolahan data dilakukan menggunakan analisis jalur (path analysis). Memposisikan variabel intervening sebagai penghubung antara variabel independen dan variabel dependen. Metode path analysis merupakan perluasan regresi linier berganda yang digunakan untuk menaksir hubungan kausalitas antara variabel dalam model penelitian yang dibangun berdasarkan landasan teori yang kuat. Alat hitung menggunakan program SPSS.

Hasil analisis data menunjukkan bahwa Budaya organisasi dan lingkungan kerja berpengaruh langsung terhadap kinerja guru di SMK NU Kedungtuban Blora. Budaya organisasi dan lingkungan kerja berpengaruh secara tidak langsung terhadap kinerja guru melalui kepuasan kerja guru SMK NU Kedungtuban Blora.
The Impact of Using Facebook on the Social Life of College Students
Authors:   Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India, A. Mahajan Deepali , Namrata Mahender C.
Published: April 2022

The advancement in information technology brings new ways of communication among the people, especially among the students. This changes the social life of the students as they are continuously engaged on social networking sites (SNS), they are far away from the actual relationships. This study finds the addictive behavior of the students towards Facebook, as this application is more popular among the students. We have conducted a survey for 484 students from which 107 responses collected using offline survey and 381 responses were collected by online survey. SPSS has been used for statistical analysis of the questions. For the selected questions calculated the frequencies and percentage. This gives us information about the variable Excess use and social life. Further, we found a negative correlation between the variables which means excessive use of Facebook is negatively related to Social life. Students get disconnected from society because of the excess use of Facebook.
Analytical Approach of Quantum Computing based on Thematic Studies
Authors:   Chandigarh University, Chandigarh, India, Kaur Jagdeep , Jindal Harsh , Kaur Prabhjot
Published: April 2022

The concept of quantum computing is characterized by the use of its new analysis and its results. On the other hand, this concept requires critical content of the asset and remains multifaceted research and authoritative field. In the field of quantum computing, bibliometric analyses were developed to identify the underlying impacts and to obtain a systematic review of structures and spaces and spaces during this field of research. This paper focuses on the Quantum circuit model, Alan Mathison Turing device, Adiabatic quantum computer, Unidirectional quantum computer and, multiple quanta mobile automata. This last learning space has recently taken a high position in quantum computing studies. The most important indicators date back to the early years. It can be concluded that there can be a large number of integrated subjects in the field of quantum computing, as the guidelines of the various authors represent about three-quarters of all subjects. In addition, analysis in the field of quantum computing is characterized by a wide range of multidisciplinary and thematic studies. The shift away from technological features to more personalities is seen as a marked change in research focus. Gaps in various titles between authors, countries, and organizations have begun in this paper.
A VGG-16 Framework for an Efficient Indoor-Outdoor
Authors:   MITS Gwalior, MP, India, Dandotiya Monika , Dubey Madhukar
Published: April 2022

Computer vision had reached a new level that allows robots from the limits of laboratories to explore the outside world. Even with progress in this area, robots are struggling to understand their location. The classification of the scene is an important step in understanding the scene. In many applications, a scene classifi- cation can be used such as a surveillance camera, self-driving, a household robot, and a database imaging system. Monitoring cameras are now everywhere installed. The accuracy of scene classification of indoor-outdoor techniques is weak. Using the Convolution Neural Net-work Model in VGG-16, this study attempts to im- prove accuracy. This research presents a new method for classifying images into classes using VGG-16. The algorithm’s outputs are validated using the SUN397 indoor-outdoor dataset, and outcomesdemonstrates that the suggested methodol- ogy outperforms existing technologies for indoor-outdoor scene classification. In this paper, Very Deep Convolutional Networks for Large-Scale Image Recognition” is what we implement. In ImageNet, a dataset of over 14 million images belonging to 1000 classes, the model achieves 92.7 percent top-5 test accuracy. It outperforms Alex Net by sequentially replacing large kernel-sized filters (11 and 5 in the first and second convolutional layers, respectively) with multiple 33 kernel-sized filters. We attain Training loss is 10percent and Training Accuracy is 96 percent in our projected work.
Supporting the Audial Discovering of Space by the Blind using an Ontology-based Map and Geographic Data from Existing Open Maps
Authors:   Siedlce University of Natural Sciences and Humanities, Poland, Mikulowski Dariusz , Pilski Marek , Terlikowski Grzegorz
Published: April 2022

In everyday life, we often encounter a situation when we want to go to a new place. In this case, we reach for one of the internet maps services, enter data about our trip and search for a new route. It is similar in the case of blind or visually impaired people (BVE). Getting to know the new route is even more essential for them because they will be able to avoid dangerous places during the travel. Moreover, thus it will be easier for them to achieve the intended destination of the trip. Unfortunately, the information taken from various dedicated GPS-based mobile applications is usually insufficient for this purpose. They need a more exact description of an environment and objects such as pedestrian crossings or entrances to shops. To enable this detailed exploration, we propose a method that consists of assigning a new route, describing it with the use of objects and assigning text descriptions and sound patterns to them. For this purpose, we use a dedicated domain ontology. Due to this, apart from the attributes such as coordinates and size, the objects have the attributes that store the appropriate exact physical location and other semantic data such as relations to other objects. These conditions are described in the ontology as corresponding relationships such as being a neighbor or being on. Such objects are also related to three-dimensional binaural sound scenes linked to ontology using a relationship called "Has-Sound-Scene". With this solution, it is possible to construct very precise descriptions of routes tailored to the specific requirements of BVE. Our concept has been implemented as a simple application that uses ontology, data downloaded from the Open Street Map and audio samples recorded with the binaural sound method. It has a mechanism for determining routes and assigning sound signals to them. The application was tested by two visually impaired users and has received positive opinions.
Bearing Various Defects Classification using Deep Network Learning Method
Authors:   Laboratoire des Systèmes Electromécaniques (LSELM), Badji-Mokhtar University Annaba, BP, Algeria, Belkacemi B. , Saad S.
Published: April 2022

Diagnostics and classification of faults are critical today, especially in rotating machines, to prevent material and human losses. In order to classify bearing faults, this paper utilizes artificial intelligence methods, namely deep network learning. This field has used a variety of methods to detect and predict bearing faults, but none of them are foolproof or perfect. There are many drawbacks to most of these methods, such as the difficulty of extracting vibration signals. As a result of using deep network learning in the present study, the accuracy of the results has been improved compared to the previous methods. The results have showed that the proposed technique is superior to the previously studied method and can be used to classify induction motor bearing faults effectively.
EOQ Inventory Model for Perishable Items with Price Dependent Demand and Preservation Technique under Upstream and Downstream Trade Credit
Authors:   Division of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India, P Jayashri , S Umamaheswari
Published: April 2022

Perishable items are typically fresh food that has a relatively short lifetime. To increase the lifetime of perishable items preservation techniques are prone. Suppliers consider a two-level partial trade credit model to sell the goods before it deteriorates to minimize the revenue loss. The two-level trade credits are a) Supplier proposes that the retailer pay a portion of the order in cash when it is delivered, and then offers a short-term interest-free loan for the balance and b) Retailers offer partial delay in payment to their customers. The present research article investigates the analysis of the EOQ inventory model on the perishable items with a price-dependent demand under upstream and downstream partial trade credit. Economic Order Quantity is calculated for the propound inventory model using the given parameters.
Automatic Summarization of Malayalam Documents using Text Extraction Methods
Authors:   Langauge Computing Department, Centre for Development of Imaging Technology, Kerala, India, P Jayan Jisha , V Govindaru
Published: April 2022

Text summarization is a technique for reducing lengthy passages of text into smaller portions. The goal is to develop a logical and fluent summary that only includes the document's major ideas. It's a important task in Natural Language Processing (NLP) that undoubtedly has a significant impact on synthesization of lengthy documents. With the rise of the digital documentation and publication, devoting time to thoughtfully read an article, document, or book in order to determine its relevance is no longer an option, especially given time constraints. In machine learning and NLP, automatic text summarization is a generic problem. A comparison of text summarization applying the Term Frequency ~ Inverse Document Frequency, Latent Semantic Analysis and Text Rank algorithms for the Malayalam language is presented in this research paper.
Performance Analysis of Preconditioner based Image Reconstruction in High Resolution Microwave Tomography
Authors:   Thiagarajar College of Engineering, Madurai, Tamilnadu, India, Nithya N. , Manikandan MSK.
Published: April 2022

The accuracy and speed of convergence in Microwave Tomography Imaging System (MwTIS) affected by ill-condition nature of coefficient matrix. Krylov subspaces based regularization methods are effectively produce the solution with ill-condition problems.The proposed work, details the preconditioner based regularization method called Enriched Conjugate Gradient Least Square (ECGLS) is good at handling ill-condition problem in MwTIS. In this paper, first, it analyzes the impact of frequency changes in the condition number of the coefficient matrix and evaluates the efficacy of ECGLS method. It achieves 37.42 % of MSE at 6 reconstruction iteration for brain dataset.
Analysis of IDS using Feature Selection Approach on NSL-KDD Dataset
Authors:   Department of Computer Science, University of Kashmir, India, Rahim Rahila , S Ahanger Aamir , M Khan Sajad , Masoodi Faheem
Published: April 2022

Due to the increased use of the internet, cyber-attacks are becoming more prominent causing major difficulty in achieving and preventing security risks and threats in the network. There have been a variety of attacks (both passive and aggressive) used to compromise network security and privacy. As a result, network security is becoming an increasingly important aspect in safe guarding and maintaining network data and resources to ensure dependable, secure access and protection against vulnerabilities. For detecting such attacks quickly and accurately, a strong Intrusion Detection System is required which is a valuable means for detecting intrusions in a network or system by extensively inspecting each packet in the network in real-time, preventing any harm to the user or system resources. In this paper, we proposed a statistical method to train the model with the training data to understand complicated patterns in the dataset and to make intelligent decisions or predictions whenever it comes across new or previously unseen data instances. For the classification of data, we used five machine learning classifiers such as Support Vector Machine, Decision Tree, Random Forest, AdaBoost, and Logistic Regression. To properly grasp complicated patterns in data, machine learning models require a large amount of data, which is why NSL-KDD was utilized to develop and validate supervised machine learning models. Initially, the dataset is pre-processed to remove any unnecessary or undesired dataset features. Feature selection (extra-treeclassifier) were used which combines the qualities of both filter and wrapper methods to provide features based on their importance as a result, the dataset dimensionality is reduced, lowering the processing complexity. Finally, the overall classification accuracy of the various machine learning classifiers was evaluated to find the best optimal algorithm for detecting intrusions.
Ensemble based Effective Intrusion Detection System for Cloud Environment over UNSW-NB15 Dataset
Authors:   Department of Computer Science, University of Kashmir, India, Amin Uzma , S Ahanger Aamir , Masoodi Faheem , M  Bamhdi Alwi
Published: April 2022

Advanced computing innovations are rapidly evolving, resulting in the advent of new organizational and operational strategies. Cloud computing has emerged as one of the pre-eminent innovation in the recent years. Cloud computing enables its clients to access flexible, distributed computing domain via internet. Cloud has manifested itself as a viable framework that facilitates the use of application domains, data and infrastructural facilities that mainly encompasses workstations, network and storage infrastructure. Regardless of robust and comprehensive server processing capabilities in contrast to client’s processing capabilities and efficiency there are numerous security risks to the cloud from both outside and within the cloud that might exploit security flaws to cause damage. Traditional security measures have some flaws when it comes to completely shielding the networks and devices from increasingly advanced attacks. Consequently, it is all important to build an intrusion detection system to detect and prevent all kinds of intrusions in the cloud with high accuracy along with low false alarms. In this study we have suggested an anomaly-based intrusion detection system that employs ML algorithms for detection of unknown malicious attacks using an ensemble approach over the UNSW-NB15 dataset. The experimental output demonstrated the accuracy of 99.28% and 99.47% for random forest and bagging algorithms respectively.
Embedded systems and NLP Language Translation using Raspberry Pi
Authors:   SRM University, Delhi NCR Sonepat, Haryana, India, Kumar Vedansh , Singh Bhavpreet , Zargar Umrah , Kumar Arvind
Published: April 2022

Internet of Things, in general, is thought to be a dynamic and extensively allotted networked machine composed of a massive variety of identifiable clever gadgets. These gadgets can communicate and interact amongst themselves, and with end-users or different entities withinside the network. One of such a chip is called Raspberry Pi which is a fully customizable and programmable small computer board which can run complex tasks at a tremendous speed which is suitable for our tasks despite having a few disadvantages, the Raspberry Pi stays and less expensive pc with its very effective utilization in various variety of studies programs in IoT and Machine learning.One such use, considered here is its ability to send voice messages over the network through various methods. That in turn can be stacked up with Machine Learning and its various utility, one of the such being Natural Language processing. Understanding the words being conveyed to convert them into text stays it’s one of the most used application.
Hubungan Faktor Demografi dan Kebahagiaan di Tempat Kerja dengan Kepuasan Kerja Staf Rumah Sakit di Provinsi Lampung (Analisis Data RISNAKES Tahun 2017)
Authors: Elysa Monica Elysa , Ariyanti Fajar
Published: April 2022

Kepuasan kerja karyawan adalah tingkat dimana para karyawan menyukai pekerjaannya. Hasil analisis kepuasan kerja Staf Rumah Sakit di Provinsi Lampung tahun 2017 yaitu sebesar 50,2%. Tujuan penelitian ini adalah untuk mengetahui hubungan faktor demografi dan kebahagiaan di tempat kerja dengan kepuasan kerja staf Rumah Sakit di Provinsi Lampung Tahun 2017. Penelitian ini merupakan penelitian analitik kuantitatif dengan desain penelitian cross sectional. Data dalam penelitian ini diambil dari Risnakes Tahun 2017. Populasi dalam penelitian ini adalah seluruh staf Rumah Sakit yang ada di Provinsi Lampung tahun 2017. Sampel dalam penelitian ini berjumlah 1.800 responden. Analisis data dilakukan dengan menggunakan analisis univariat dan bivariat menggunakan uji Chi-square dengan CI 95% dan derajat kemaknaan sebesar 5% atau 0,05. Analisis data dalam penelitian ini dilakukan pada bulan September-November tahun 2020. Hasil analisis menunjukkan, bahwa responden terbanyak terdapat pada usia dewasa yaitu sebanyak 94,4%, jenis kelamin perempuan (76,6%), jenjang pendidikan tinggi (97,0%), Tenaga Kesehatan (95,9%), bahagia di tempat kerja (52,9%), dan puas dengan pekerjaannya (50,2%). Hasil uji statistik menunjukkan, bahwa terdapat hubungan yang signifikan antara kebahagiaan di tempat kerja dengan kepuasan kerja staf Rumah Sakit di Provinsi Lampung Tahun 2017 dengan nilai p-value sebesar 0,000. Namun, tidak terdapat hubungan yang signifikan antara usia, jenis kelamin, pendidikan, dan jenis ketenagaan dengan kepuasan kerja staf Rumah Sakit di Provinsi Lampung Tahun 2017
Hubungan Dukungan Keluarga dengan Tingkat Kecemasan pada Mahasiswa Keperawatan Yang Mengikuti Pembelajaran Jarak Jauh di STIK Immanuel Bandung
Authors: Yanti Juli , Hotmaida Linda , Maryani Lidya
Published: April 2022

AbstrakPenelitian ini hendak mengetahui hubungan dukungan keluarga dengan tingkat kecemasan mahasiswa dengan melibatkan 78 mahasiswa keperawatan angkatan 2017-2021. Jenis penelitian adalah penelitian kuantitatif dengan cross sectional dan pengambilan sampel dengan menggunakan stratified random sampling. Didapatkan hasil penelitian dukungan keluarga dengan kategori sedang sebanyak 42 orang (53.8%) dan sebagian besar mahasiswa berada pada tingkat kecemasan pada kategori sedang sebanyak               50 orang (64.1%). Hasil uji statistik Pearson Chisqure di dapatkan hasil signifikansi (p-value) sebesar                        0.856 > α (0.05) artinya dapat disimpulkan bahwa tidak terdapat hubungan dukungan keluarga dengan tingkat kecemasan.Mahasiswa keperawatan Sekolah Tinggi Ilmu Kesehatan Immanuel Bandung mengalami kecemasan sedang saat pembelajaran jarak jauh di harapkan pihak pendidikan dapat melakukan persiapan sebelum melakukan pembelajaran jarak jauh dengan perencanaan dan persiapan yang matang berupa pedoman pembelajaran jarak jauh bagi dosen dan mahasiswa disertai adanya dukungan keluarga di harapkan dapat menekan tingkat kecemasan saat pembelajaran jarak jauh. Kata Kunci : Dukungan keluarga, tingkat kecemasan
The role of viral infection in the pathology of oral mucosa in persons with prosthetic constructions
Authors: Artykova N. K.
Published: April 2022

Aim.To detect viral infection of the oral mucous membrane in individuals with dentures.

Material and methods.110 patients with removable and 100 - with fixed prostheses were examined. Diagnostics of virus infection were carried out by ELISA and PCR methods (Kvant-21).

Results and discussion.It has been revealed that patients with removable prostheses revealed oral mucosa diseases in 91 (82,7%) persons and with fixed prostheses - in 75 (75,0%) patients. Viral infection in patients with removable dentures is detected in 58 (63.7%;91) and with fixed dentures in 43 (57.3%;75) patients. Among patients with removable dentures, HPV types 11 and 16 occur 1.3 times more frequently than in patients with fixed dentures, and HPV type 6 - 4.6 times less frequently. HPV types 11 and 16 are most frequently detected in patients with removable prostheses in the case of red lichen planus while in the group of patients with fixed prostheses they are more frequently observed in patients suffering from periodontal disease.

Conclusion.Viral infection plays an important role in the development of diseases of the oral mucosa, which differ depending on the presence of removable and fixed dental structures. Papillomavirus types 6, 11, and 16 have the most pronounced effect on the course of oral mucosa diseases.
Ảnh hưởng của giá trị cảm nhận, gắn kết thương hiệu đến sự hài lòng và ý định mua lại của khách hàng: Trường hợp thương hiệu sản phẩm điện thoại di động tại Thành Phố Hồ Chí Minh
Authors: Nguyễn Thị Thúy , Võ Thị Kim Ngân , Trần Thế Nam , Huỳnh Đặng Mỹ Dung , Ngô Thanh Tiên
Published: April 2022

Trong bối cảnh thị trường cạnh tranh như hiện nay, sự hài lòng và ý định mua lại của khách hàng đang là vấn đề được nhiều doanh nghiệp quan tâm. Nghiên cứu này được thực hiện nhằm đánh giá sự ảnh hưởng của giá trị cảm nhận, sự gắn kết với thương hiệu đến sự hài lòng, ý định mua lại của khách hàng trên thị trường điện thoại di động tại Thành phố Hồ Chí Minh. Nghiên cứu được tiến hành bằng phương pháp kết hợp giữa nghiên cứu định tính và nghiên cứu định lượng. Dữ liệu sơ cấp với 239 phiếu trả lời được tiến hành xử lý bằng phần mềm SmartPLS. Kết quả cho thấy, giá trị cảm nhận và sự gắn kết thương hiệu có tác động đáng kể đến sự hài lòng và ý định mua lại của khách hàng. Qua đó, nghiên cứu cũng đề xuất một số giải pháp thực tiễn giúp các doanh nghiệp gia tăng sự hài lòng của khách hàng và thúc đẩy ý định mua lặp lại của khách hàng thông qua việc tác động đến giá trị cảm nhận và tạo ra sự gắn kết thương hiệu.
Các yếu tố tác động đến duy trì nhân viên tại doanh nghiệp Việt Nam
Authors: Vững Lưu Minh
Published: April 2022

Nghiên cứu nhằm xác định các yếu tố tác động đến duy trì nhân viên tại doanh nghiệp Việt Nam. Phương pháp nghiên cứu định lượng với kỹ thuật mô hình PLS-SEM, phân tích dữ liệu bằng phần mềm SmartPLS với mẫu nghiên cứu là 303 nhân viên đang làm việc tại các doanh nghiệp Việt Nam ở TPHCM. Trên nền lý thuyết tài sản nhân viên, kết quả nghiên cứu cho thấy, cam kết với tổ chức, hài lòng công việc, hợp đồng tâm lý đều có tác động đến duy trì nhân viên tại doanh nghiệp Việt Nam. Trong đó, hài lòng công việc có tác động mạnh hơn đến duy trì nhân viên so với hợp đồng tâm lý và cam kết với tổ chức. Đối với việc duy trì nhân viên thì nhân viên nam và làm doanh nghiệp SMEs có phản ứng mạnh mẽ hơn so với nhân viên nữ và làm doanh nghiệp lớn. Nghiên cứu bổ sung vào khoảng trống nghiên cứu về duy trì nhân viên tại doanh nghiệp Việt Nam và cũng góp phần nhỏ tăng thêm sự hiểu biết cho các nhà nghiên cứu về duy trì nhân viên.
Tác động của covid 19 đến hiệu quả kinh doanh của các ngân hàng thương mại Việt Nam
Authors: Nga Phan Thị Hằng , Tiến Phạm Minh , Thư Nguyễn Thị Anh , Nhi Trần Tuyết , Xuân Trần Ngân , Quỳnh Trần Nguyễn Như , Anh Phan Thị Lan
Published: April 2022

Mục tiêu nghiên cứu sự tác động của đại dịch Covid-19 đến hiệu quả kinh doanh của các ngân hàng thương mại Việt Nam. Hiệu quả kinh doanh của các ngân hàng thương mại được đo lường bởi tỷ suất lợi nhuận trên vốn chủ sở hữu (ROE) và tỷ suất lợi nhuận trên tổng tài sản (ROA). Phương pháp hồi quy dữ liệu bảng được sử dụng để kiểm chứng ảnh hưởng Covid-19 đến hiệu quả kinh doanh của các ngân hàng thương mại Việt Nam trên cơ sở hệ thống dữ liệu thứ cấp thu thập từ 21 ngân hàng giai đoạn 2012–2021. Kết quả ước lượng cho thấy, Covid-19 đã ảnh hưởng tiêu cực, làm giảm đáng kể hiệu quả kinh doanh của các ngân hàng thương mại Việt Nam. Bên cạnh đó, nghiên cứu cũng cho thấy, hiệu quả kinh doanh của các ngân hàng bị ảnh hưởng bởi tỷ lệ vốn chủ sở hữu trên tổng tài sản, năng lực quản trị chi phí rủi ro tín dụng. Khuyến nghị các nhà quản trị cần có những giải pháp ứng phó phù hợp (như mở rộng các hoạt động đầu tư, tăng cường quản lý rủi ro, tăng quy mô vốn và tài sản) để cải thiện hiệu quả kinh doanh khi dịch còn có khả năng kéo dài nhưng vẫn đảm bảo hỗ trợ vốn cho các tổ chức, cá nhân vượt qua khó khăn sau đại dịch Covid-19.
Sự ảnh hưởng của đặc điểm giám đốc điều hành đến chất lượng báo cáo tài chính của các công ty nhóm ngành công nghiệp niêm yết trên sở giao dịch chứng khoán Thành Phố Hồ Chí Minh
Authors: Nga Trần Thị Nguyệt , Mến Lê Thị
Published: April 2022

Nghiên cứu tập trung vào sự ảnh hưởng của đặc điểm giám đốc điều hành (CEO) đến chất lượng báo cáo tài chính của các công ty nhóm ngành công nghiệp niêm yết trên Sở giao dịch chứng khoán Thành phố Hồ Chí Minh (HOSE). Dữ liệu bảng cân bằng với 267 quan sát của 89 công ty nhóm ngành công nghiệp niêm yết cổ phiếu trên HOSE trong 3 năm (2018 - 2020) cùng với phương pháp hồi quy dữ liệu bảng POOL, FEM, REM và FGLS được sử dụng để kiểm chứng mô hình nghiên cứu. Kết quả phân tích cho thấy, chất lượng báo cáo tài chính của các công ty nhóm ngành công nghiệp chịu ảnh hưởng tích cực bởi tỷ lệ sở hữu, thu nhập của CEO và chịu ảnh hưởng tiêu cực bởi tuổi, quyền kiêm nhiệm của CEO. Khuyến nghị công ty nhóm ngành công nghiệp nên khuyến khích các CEO sở hữu cổ phần của công ty, khuyến khích tăng lương thưởng cho CEO cũng như không khuyến khích tuyển dụng hay bổ nhiệm CEO quá lớn tuổi và cần phải tách biệt vị trí Chủ tịch hội đồng quản trị với CEO để tăng chất lượng báo cáo tài chính.
Truyền miệng trực tuyến và ý định lựa chọn nhà hàng: Vai trò của chất lượng, độ tin cậy và nhu cầu thông tin
Authors: Cư Nghiêm Thiện , Quân Đặng Hoàng Minh , Quốc Trần Nam , Trường Phạm Minh
Published: April 2022

Nghiên cứu nhằm kiểm định mối quan hệ của chất lượng, độ tin cậy và nhu cầu của thông tin từ truyền miệng trực tuyến đến ý định lựa chọn nhà hàng. Nhóm tác giả đã tiến hành phỏng vấn một số chuyên gia trong ngành và 271 khách hàng tại một số nhà hàng trên địa bàn TPHCM thông qua phương pháp chọn mẫu có hạn ngạch. Bằng kỹ thuật phân tích nhân tố khám phá (EFA), phân tích nhân tố khẳng định (CFA) và mô hình cấu trúc tuyến tính (SEM), kết quả cho thấy có sự ảnh hưởng tích cực của các thành phần chất lượng, độ tin cậy và nhu cầu thông tin đến tính hữu ích của thông tin, trong đó độ tin cậy có mức ảnh hưởng mạnh nhất. Nghiên cứu cũng phát hiện mối quan hệ ảnh hưởng của tính hữu ích thông tin lên sự chấp nhận thông tin, và từ đó ảnh hưởng đến ý định lựa chọn nhà hàng. Kết quả trên là cơ sở góp phần đưa ra các giải pháp phù hợp giúp nhà quản trị xây dựng chiến lược kinh doanh, nâng cao năng lực cạnh tranh cho các doanh nghiệp hoạt động trong lĩnh vực nhà hàng.
Ảnh hưởng của việc thực thi thỏa thuận tâm lý đến sự gắn kết tình cảm và hành vi công dân: Trường hợp sinh viên Trường Đại học Tài chính - Marketing
Authors: Diễm Đoàn Liêng , Ngọc Phùng Vũ Bảo , An Mai Trường
Published: April 2022

Nghiên cứu được thực hiện nhằm kiểm định mối quan hệ giữa cảm nhận về thực thi thỏa thuận tâm lý (psychological contract fulfilment), sự gắn kết tình cảm (affective commitment) và hành vi công dân của sinh viên (student citizenship behavior) của 231 sinh viên Khoa Du lịch, Trường Đại học Tài chính – Marketing. Kết quả nghiên cứu cho thấy, sinh viên sẽ gắn kết nhiều hơn với tổ chức khi cảm nhận rằng tổ chức (trường học) thực hiện những cam kết của mình với họ, sự gắn kết này cũng có tác động tích cực đến hành vi công dân của sinh viên (hành vi tham gia; hành vi liên kết; và hành vi lịch thiệp, chu đáo). Tuy nhiên, cảm nhận về việc thực thi thỏa thuận tâm lý lại không ảnh hưởng trực tiếp đến hành vi công dân trong lớp học của sinh viên.
Dự báo khả năng bỏ học của sinh viên: Áp dụng mô hình hồi quy binary logistic
Authors: Tùng Vũ Sơn , Phong Trần Thanh
Published: April 2022

Hiện nay, tình hình bỏ học giữa chừng là một hiện tượng đáng báo động. Bài nghiên cứu này nhằm xây dựng mô hình dự báo khả năng bỏ học của sinh viên vừa học vừa làm, nghiên cứu tình huống tại Trung tâm Đào tạo thường xuyên Trường Đại học Kinh tế Công nghiệp Long An. Dữ liệu nghiên cứu được thu thập gồm 250 sinh viên hệ vừa làm vừa học trúng tuyển trong năm học 2017 - 2018. Trong nghiên cứu sử dụng hồi Binary Logistic để phân tích, kết quả cho thấy, có 5 yếu tố tác động tới khả năng bỏ học của sinh viên là: (1) Cần thiết kế thời khóa biểu thật linh động để sinh viên có thể lựa chọn thời gian học tập phù hợp nhất cho chính họ, (2) Cơ sở đào tạo xây dựng quy chế sao cho thuận lợi nhất cho sinh viên bảo lưu kết quả khi trở lại trường khi điều kiện họ có thể tiếp tục học sau thời gian tạm dừng, (3) Cơ sở đào tạo nên xây dựng chương trình theo hướng tinh gọn và thực tiễn hơn (4) Truyền thông tạo ấn tượng tốt với công chúng, (5) Dịch vụ học tập tốt giúp cho sinh viên gắn bó hơn với trường.
The Relationship between Information and Communication Technology (ICT) Self-efficacy and Technopreneurial Intention
Authors: Koe Wei-Loon , Nordin Noorain Mohd , Marmaya Najihah Hanisah
Published: April 2022

As a developing country, Malaysia needs to develop a greater number of technology-savvy entrepreneurs to encounter the challenges of COVID19 and fourth industrial revolution (IR 4.0). However, the number of young technology-based entrepreneurs in Malaysia is still low. Moreover, not many studies have been done to identify the motivating factors of technology-based entrepreneurship. As such, this study was carried out to identify the influence of information and communication technology (ICT) self-efficacy on technopreneurial intention. A total of 152 students from a Malaysian public university was surveyed through self-administered questionnaire. Multiple regressions analysis was performed to test the hypotheses. The results revealed that three variables, namely Internet general ability, confidence in using computer and competency in using computer significantly influenced technopreneurial intention. Meanwhile, communicative ability did not have any significant relationship with technopreneurial intention. Generally, the findings supported previous studies that ICT self-efficacy played a role in determining an individual’s technopreneurial intention. Specifically, proficiency in computer skills and mastery of Internet general ability should be stressed. As technology-based entrepreneurship continues to play a crucial role in post-COVID19 era, it is important to develop more young and competitive technopreneurs. Thus, this study suggested that government should accentuate science, technology, engineering and mathematics (STEM) education; while education providers should continue to offer ICT courses to the students in order to bolster the development of technopreneurship in the country.
A Spatial-Semiotic Narrative of the Martyr’s Memorial Site in Amman
Authors: El-Sharif Ahmad
Published: April 2022

Social semiotic approaches to spatial discourse analysis are employed to analyse the predefined arrangements of spaces and semiotic resources in three-dimensional spaces. These spaces and resources are recognized as spatial-texts that construct a discourse which communicates predefined meanings and ideologies. Aiming to advance the growing interest in spatial semiotics in different socio-cultural contexts, this study scrutinizes the spatial semiotic resources in the Martyr’s Memorial and site in Amman, the Capital city of Jordan. The analysis is constructed through an approach of locative and reflective observation of the researcher’s, and the visitors’, experience with the different semiotic resources in the Memorial site. Then, these resources are interpreted on the basis of social semiotic approaches of spatial-discourse analysis. The study demonstrates that the Martyr’s Memorial and its site encompass manifold semiotic resources which make a series of spatial-texts which are organized and arranged along a predefined narrative path. These spatial-texts make a coherent discourse that communicates and unfold well-established meanings and ideologies about the Arabic, and Islamic, conception of martyrdom, the role of the Jordanian Armed Forces, and the legacy of the Hashemite ruling dynasty. Such meanings and ideologies are reproduced on the basis of social, religious, and historical backgrounds.
Evaluation of the Potency and Safety of Model Clinic Polyherbal Anti-Malaria Tea
Authors:   Department of Pharmacognosy, Faculty of Pharmacy, University of Lagos, Idiaraba Campus, Idiaraba. Lagos, Nigeria, Sanwoolu T.A. , Orabueze I.C. ,   Department of Pharmacognosy, Faculty of Pharmacy, University of Lagos, Idiaraba Campus, Idiaraba. Lagos, Nigeria, Olagbende-Dada S.O. ,   Department of Pharmacognosy, Faculty of Pharmacy, University of Lagos, Idiaraba Campus, Idiaraba. Lagos, Nigeria, Ota D.A. ,   Department of Physiology, College of Medicine, University of Lagos, PMB 12003, Surulere, Lagos, Nigeria
Published: April 2022

Background: The Model Clinic Antimalaria Tea (AMT) is a product of the Herbal Clinic unit, Department of Pharmacognosy, University of Lagos. Its ingredients are the dried and powdered leaves of Mangifera indica, Psidium guajava, Carica papaya and Cymbopogon citratus. Objective: The objective of this study is to evaluate the potency and safety of AMT. Materials and methods: AMT was assessed for antimalarial activity against chloroquine- sensitive Plasmodium bergheii NK65 – infected mice using the suppressive and the curative test procedures at its half, full and double the prescribed dose (3.45, 6.90, and 13.80 mg kg-1 respectively). Chloroquine 5 mg kg-1 (CQ) was used as positive control while water was the normal control. The test parameters were parasitaemia, weight, PCV and temperature. AMT safety was assessed by acute toxicity test and microbial limit (using the pour plate method) and heavy metals limit test (using spectrophotometry). Results: All the treated groups, except water, showed curative and suppressive antimalarial activity in the following order: CQ > AMT 13.80 mg kg-1 > AMT 6.90 mg kg-1 > 3.45 mg kg-1 which is dose-dependent. Oral administration of AMT at a dose of 4,000 mg kg-1 produced no noticeable deleterious effect. The microbial load and heavy metals content were within passable official limits. Arsenic and Mercury were not detected while Copper, Lead and Zinc occurred in 0.576 ppm, 0.108 ppm and 0.673 ppm respectively. Conclusion: AMT has been shown to exhibit potent and dose-dependent anti-malarial activity against P. bergheii and it is also safe for consumption.
Antimicrobial Activity of Commonly Used Medicated Soaps on Multi-Drug Resistant Staphylococcus aureus and Escherichia coli in Maiduguri, Nigeria
Authors:   Department of Pharmaceutical Microbiology & Biotechnology, Faculty of Pharmacy, University of Maiduguri, Maiduguri, Borno State, Nigeria, Kaigama Z.B. , Stephen C.M. ,   Department of Pharmaceutical Microbiology & Biotechnology, Faculty of Pharmacy, University of Maiduguri, Maiduguri, Borno State, Nigeria, Hamza J.A. ,   Department of Pharmaceutical Microbiology & Biotechnology, Faculty of Pharmaceutical Sciences, Gombe State University, Tudun-Wada, Gombe State, Nigeria, Onanuga A. ,   Department of Pharmaceutical Microbiology & Biotechnology, Faculty of Pharmacy, University of Maiduguri, Maiduguri, Borno State, Nigeria
Published: April 2022

Background: The spread of antibiotic resistant infections in both hospital and community settings is a global public health problem. Proper hand washing with soaps has been described as a simple means of preventing disease transmission. Objectives: The antimicrobial activities of six commonly used medicated soaps - Safeguard®, Dettol®, Crusader®, Septol®, Tetmosol® and Sabulun salo (Local black soap) against multi-drug resistant pathogenic Staphylococcus aureus and Escherichia coli isolates were investigated in Maiduguri metropolis. Methods: Two isolates each of Staphylococcus aureus and Escherichia coli were collected from laboratory unit of the University of Maiduguri Teaching Hospital and confirmed using standard microbiological procedures. Antibiotic susceptibility testing was determined using standard disc assay method. The effectiveness of the soaps against these organisms was determined using agar well diffusion and broth dilution methods. Results: The E. coli and S. aureus isolates were multi-drug resistant to the tested antimicrobials. Only one of the S. aureus isolates was susceptible to Safeguard®, Dettol®, Tetmosol® and Sabulun salo, while the other three isolates were resistant using the agar well diffusion method. Dettol®, Tetmosol® and Sabulun salo had the highest activity against all the isolates. One of the S. aureus isolates exhibited the highest susceptibility at MIC 1.56mg/ml and MBC 3.175mg/ml of the soaps’ concentrations. Conclusion: This study showed that Dettol®, Tetmosol® and Sabulun salo are the most effective soaps against antibiotic resistant bacteria and thus can be used to control the spread of pathogenic microorganisms in hospitals and communities through proper hand hygiene.
Access to Safe Drinking Water and Sanitation Facilities: A Case Study of Lagos Mainland Local Government Area, Lagos, Nigeria
Authors:   Department of Clinical Pharmacy and Biopharmacy, Faculty of Pharmacy, University of Lagos, Idiaraba Campus, Idi Araba, Lagos, Aina B.A. , Ata N.M. ,   Pharmacy Department, Lagos State University Teaching Hospital (LASUTH), Ikeja, Lagos
Published: April 2022

Background: Access to safe drinking water will prevent water borne diseases, disability and death. Clean water and sanitation are crucial to healthy living. Access to good drinking water is indicated by safe water sources. Objectives: The study was conducted to determine access to safe drinking water and sanitation facilities amongst residents of Lagos Mainland Local Government Area (LGA), Lagos. Methods: A cross-sectional descriptive study was carried out using mainly interviewer administered questionnaire to 381 participants of not less than 18 years which focused on questions on source of drinking water, sanitation facility and incidence of water borne diseases. Results: Response rate was 94.5%. Majority of the respondents (40%) were between 38-47 years old. Half of the respondents relied on sachet water as source of drinking water while 5% from pipe water in the compound. Majority of the respondents’ households (85%) had access to water within a distance of about 100 metres or less and within 15 minutes or less. About 60% of the household had government piped water into their compound. Majority of the households (80%) had flush toilets while 20% had improved pit latrine. Most of the respondents (80%) were aware that disease can be caused by unsafe drinking water. More than half (55.56%) of the households have not treated water related diseases in the last two months. Conclusion: The surveyed households had close access to safe drinking water. Sachet water was the main source of drinking water. The sanitation facilities in the studied area were adequate for healthy living and good quality of life.
Frequency of Hyponatremia in Chronic Obstructive Pulmonary Disease Patients
Authors: Parvez Adil , Sajjad Waseem , Gul Shahzad , Khan Muhammad Mudassar , Riaz Babar
Published: April 2022

Aim: To determine the frequency of hyponatremia in chronic obstructive pulmonary disease patients. Study Design: Cross-sectional-study Place and duration of study: Medical "A" Unit, MTI Ayub Teaching Hospital Abbottabad from 23rd July 2019 to 22nd January 2020. Methodology: Two hundred and one patients presenting with chronic obstructive pulmonary disease (COPD) were enrolled. Results: One hundred and thirty five (67.2%) patients were male while 66 (32.8%) patients were females. In 30 (14.9%) patients have hyponatremia. Conclusion: Hyponatremia is prevalent in COPD patients, and its frequency was quite higher in patients admitted with COPD. Thus, hyponatremia patient’ should be monitored carefully. Keywords: Chronic obstructive pulmonary disease, Hyponatremia, Sodium levels
Correlation between Urinary Angiotensin Converting Enzyme-2 & Micro Albuminuria in Non-Diabetic-Hypertensive and Type 2 Diabetic-Hypertensive patients
Authors: Sear Mah-E-Jabeen , Mukhtar Saima , Qamar Iram , Hussain Shaista , Naeem Sara , Naz Hafeesa
Published: April 2022

Background: The Renin Angiotensin System (RAS) is one of the main contributors to insulin resistance which leads to T2DM and its complications. The ACE2/Angiotensin-(1-7)/Mas axis has lately been anticipated to function as a negative regulator of the RAS, consequently, rendering a shielding task against progress of type 2 diabetes, as well as, lowering blood pressure. Aim: To correlate urinary angiotensin 2 levels and microalbuminuria in Type 2 Diabetic and non-Diabetic-hypertensive patients. Methods: A particular population of selected subjects was categorized into 2 groups, with 49 subjects in each group. Diabetic and hypertensive patients were selected from the SIMS diabetic Clinic and medical wards, Lahore. Anthrometric parameters, as well as, BSR were recorded in the clinics. Blood and urine samples were collected and stored for evaluating the biochemical parameters in the Physiology Laboratory, UHS. Results: Microalbuminuria, as well as urinary ACE2 levels in group A (non-diabetic-hypertensive subjects), were greater than in group B (diabetic-hypertensive subjects). There was a significant positive correlation between uACE2 levels and microalbuminuria in group A patients. Conclusion: Although the current study reinforced the fact that both T2DM and hypertension are risk factors for CKD, contrary to our prediction based on evidence gained from various research studies, we were unable to prove that urinary ACE 2 levels are higher in patients with hypertension compounded with diabetes mellitus. Keywords: The Renin Angiotensin System (RAS), angiotensin converting enzyme 2, microalbuminuria levels.
Correction of Post-Traumatic Enophthalmos by Orbital Floor Reconstruction with Titanium Mesh
Authors: Liaquat Ahmad , Akram Absar , Naseer Rabia , Hussain Bilal , Abbas Muhammad , Haq Ehsanul
Published: April 2022

Aim: To see the efficacy of titanium mesh in orbital floor reconstruction to correct the post-traumatic enophthalmos in orbito-zygomatic complex fractures. Methods: This retrospective study was carried out in the department of Oral and Maxillofacial Surgery, University College of Medicine & Dentistry, University of Lahore, Pakistan from January 2017 to January 2020. All patients who had enophthalmos after orbito-zygomatic fractures and were treated for orbital floor reconstruction with titanium mesh were included in the study. Computer tomography (CT scan) was done to diagnose and measure the orbital floor defect. Pre-operative and post-operative hertalex ophthalmometry was done to measure and compare the enophthalmos. Results: Among the 30 patients, 23 were male and 7 were female. The mean age of the patients was 30±5.80 years. Fourteen patients had right and 16 patients had left side orbitozygomatic complex fracture. The mean orbital floor defect size was 1.72±0.78 cm preoperatively measured by CT scan. There was a correction of enophthalmos in 23 patients out of 30(76.66%). Conclusion: Titanium mesh is a commonly used and easily available material for the correction of orbital floor defects. It is efficacious in terms of the correction of post-traumatic enophthalmos resulting from orbito-zygomatic complex fracture. Keywords: Enophthalmos, titanium mesh, orbitozygomatic fractures