bluuebunny/crossref_metadata_2025 huggingface dataset:
Design Of Lamella Separator For Enhanced Pollution Removal From NED University Wastewater
Authors: ullah Samee
Published: March 2023

The wastewater treatment process incorporates various settlers in the treatment train such as primary, secondary, or tertiary. The conventional settlers used are not adequate to remove suspended solids and create hindrances in the operation of further treatment processes. Therefore, to effectively remove suspended solids lamella clarifier was used in combination with the existing primary settler at the NED wastewater treatment plant. The water quality parameters analyzed include TSS (mg/l), BOD5 (mg/l), and COD (mg/l) in phase 1 before lamella clarifier installation and phase 2 after lamella clarifier installation. Satisfactory results for TSS removal were achieved before and after lamella clarifier i.e., 227-277mg/l to 87-163 mg/l. Similarly, BOD 5 was reduced from 49-277mg/l up to 35-163mg/l. Also, the COD was reduced from 229-277mg/l and was reduced up to 156-163mg/l. Therefore, the lamella clarifier installed at the NED wastewater treatment plant seems to be an effective technology to remove suspended solids along with COD and BOD removal. Therefore, the lamella clarifier installed at the NED wastewater treatment plant seems to be an effective technology to remove suspended solids along with the COD and BOD removal.
Energy Aware Drone Enabled Base Stations Deployment in Flying Adhoc Networks
Authors: Majeed Saqib
Published: March 2023

The demand for Wireless Networks has increased rapidly for downloading and uploading all types of data, which is due to the inefficiency and high cost of infrastructure based cellular Networks. Unmanned Aerial Vehicle (UAVs) is the reliable solution for improving efficiency, latency redundancy, business, and troubleshooting problems on a high scale. Although, the deployment of UAVs to meet user demand in any environment or region is quite thought-provoking. This deployment not merely provides the only the coverage area, but also provides the capacity balancing and accommodation of extremely populated areas. In this research, the suggested solutions show significant achievements in terms of energy proficiency related to the fixed and dynamic drone base station system. We propose FSO (free space optical) communication system and evaluate three feasible algorithms for separate dynamic repositioning of drone base stations in terms of communicational energy. In MATLAB, the simulation result shows 20 percent of communicational energy consumption improvement can be obtained deprived of adversely affecting any other factor of the drone.
MiniPI: Minimizing Power Imbalance among Stakeholders for Quality
Software Product
Authors: Khan Saad Mujahid
Published: March 2023

The role of requirements elicitation is crucial in the software requirement engineering process as the requirement engineer has to extract the accurate requirements from different stakeholders. However, the problem emerges when the requirement team could not prioritize the extracted requirements because the requirement’s nature may vary as different categories of stakeholders have their own perspectives. This ultimately produces a power imbalance among stakeholders. Therefore, minimizing the power imbalance of software requirements among different categories of stakeholders is fundamentally important for a quality software product. Although many contributions have been made to this subject in the past, there is still a research gap available for minimizing the power imbalance among stakeholders. In this paper, we present a novel approach for minimizing the effects of power imbalance by age-sampling among different categories of stakeholders into three groups and then by age-mapping the requirements. After gathering questionnaires from stakeholders, the concerned parties determine the attributes of the Kano model through the filled Kano’s questionnaires and afterward, the satisfaction index is calculated by taking the values of the relevant age group into account, which eventually minimizes the power imbalance among stakeholders. In order
to verify our methodology, we have performed quantitative analysis by calculating index values and applied verified Kano’s satisfaction formula to calculate the overall satisfaction index which improves the quality level of a software product.
Analysing the Impact of Autonomous Maintenance on the Packaging Line of a Pharmaceutical Industry
Authors: Memon Abdul Moiz
Published: March 2023

To meet the market’s challenges, industries are today confronted with a difficult situation, particularly maintaining product quality at competitive costs. Such a condition necessitates an increase in productivity with decreased ex-penses. Autonomous Maintenance (AM) facilitates this for industries. This project intends to integrate Autonomous Maintenance (AM) in a pharmaceutical manufacturing line, with a focus on the needs of a developing-country business. The focus of the research has been on operator training as the primary component of autonomous maintenance. It tries to instill a sense of responsibility for machine maintenance among machine workers. This allows the maintenance staff to focus on other essential responsibilities. The analysis of recurring losses and their resolution established the basis for the implementation of AM. The required for Scheduled Maintenance was lowered by 2.61 hours per week. Since the deployment of AM, the OEE has been on the rise and is approaching the world-class level of 80%. AM has cut unscheduled downtime by more than 100 percent and prevented additional changeover delays. As a result of a 6% improvement in total uptime, typical shift times have been lowered, bringing significant benefits to both the firm and its personnel. The report proposes that stakeholders continuously seek chances for development and expand the scope of additive manufacturing by incorporating activities known to affect the production efficiency of manufacturing lines.
Assessing Impact on Operational Performance with Green Information System and Mediation of Green Innovation
Authors: Haider Yaseen
Published: March 2023

Using green production methods is the need of the situation and the only solution to the issue of sustainability. With this, the optimization of resources is the major concern contributing to maximum output. In the context of Pakistan’s manufacturing business, this study presents significant literature on green information systems (GIS), green innovation performance (GIP), and operational performance (OP). This study explores the connection between OP and GIS as well as the mediating role of GIP. The partial least square-structural equation modeling (PLS-SEM) method has been opted for in this paper. About 180 usable responses were examined for the study. The structural model reveals about 60% variance in OP and 40% in GIP stating the predictive validity. The findings of the study reveal that GIS has a significant impact on OP and GIP. GIP has a direct influence on OP and a mediating role between GIS and OP highlighting the importance of greening, and its positive effect on OP. proposed for further investigation and the development of prototype design.
To Explore the Effect of Modified Seashell on the Thermo-Mechanical Properties of Polymer Matrix Composite
Authors: Bhutto Ikhlaque Ahmed
Published: March 2023

This research paper proposes a sustainable and feasible technique to utilize seashell waste. The utilization of seashells offers economic and environmental benefits because of their abundant, renewable, and cheap source of calcium carbonate. The technique will reduce the hazards of seashell waste generated to the environment and landfilling that cause risk to water sources and public health. Moreover, the synthesized bio − CaCO3 will reduce the end-product cost of the polymer. The successful synthesis of bio-calcium carbonate powder (bio − CaCO3) was carried out using a calcinations technique up to 800°C from seashells. The high density polyethylene (HDPE) composite samples were prepared via the industrially preferred melt route by varying the shell powder content by 10% and 20% by weight. The composite was subjected to Thermal Gravimetric Analysis (TGA), Differential Scanning Calorimetric (DSC), and mechanical analysis. TGA confirmed the thermal behavior of synthesized bio − CaCO3. The thermal degradation temperature of bio − CaCO3 and virgin HDPE were distinctly observed at 734 °C and 443 °C, respectively, in composite samples. The thermal stability was increased by more than 37 °C in the composite sample at 20% bio − CaCO3 loadings. The percent crystallinity also increased by 14% for higher bio − CaCO3 loadings when compared to virgin HDPE. DSC analysis showed no significant changes in melting points and was not affected by the addition of bio − CaCO3 and remained at about 134 °C in virgin and composite samples. This observation is attributed to the similar crystal structures in all samples. The HDPE composite sample showed higher tensilestrength, about 25%, than virgin HDPE. In addition, HDPE10 and HDPE20 composite samples showed lowerelongation at break when compared to virgin HDPE in accordance with the literature.
Mathematical Modeling and Simulation of AC-AC Three Phase Matrix Converter with LC Filter driving Static Resistive Load
Authors: Soomro Abdul Hameed
Published: March 2023

During the last two decades, it has been seen that power conversion from one form to another form of energy was a serious issue in power electronics. After the production of power converters such as rectifiers that convert AC-DC, inverters that convert DC-AC, voltage regulators, choppers, and cycloconverters make possible power conversion. In 1980, Venturini presented the concept of the Matrix Converter in power electronics; it consists of bidirectional IGBT switches and can conduct current and block reverse and forward voltage. Nowadays matrix converter is frequently utilized for power conversion because it can convert AC-AC, AC-DC, DC-DC, and DC- AC directly without an energy storage device which results in less complexity and cost. In matrix converters, high switching frequency harmonics are produced due to the switching of converters and need to be minimized. In this paper, an LC filter is employed to mitigate the problem of harmonics at the output of the three-phase matrix converter. A three-phase matrix converter with an LC filter is presented in this paper and the SVM technique is used for the generation of pulses. Simulation results are carried out through MATLAB software.
Ensemble Machine Learning Approach for Stress Detection in Social Media Texts
Authors: Illahi Maleeha
Published: March 2023

Stress is an almost basic human instinct, especially in the internet age. People’s health is being endangered by
psychological stress. It is critical to diagnose stress early on to provide proactive therapy. In the age of the Internet, social media has an enormous impact on human thinking. It can cause mental health issues such as stress but can also play an important part in detecting it. Advancements in machine learning and natural language processing have enabled information extraction from a huge amount of raw textual data. In this study machine learning approach is used to detect stress in a social media text. Data used in this study is from Reddit. Classical and Ensemble machine learning approaches were used for stress detection. Classical Techniques include Decision Tree, Logistic Regression, support vector machine, Random Forest, and Na ̈ıve Bayes. Ensemble approaches used are boosting, bagging, and voting. The ensemble approach was able to provide better results than all machine learning baselines on the dataset. Also, it was able to outperform all non-transformed-based neural network architectures discussed in the baseline. The best-performing model in this study is Logistic regression with a 76.6% F1 Score.
Sulfate Resistance and Alkali-Silica Reaction of Recycled Aggregate Concrete
Authors: Dahri Shakeel Ahmed
Published: March 2023

In this research article laboratory investigations of sulfate resistance and alkali-silica reaction of recycled aggregate concrete are presented. A total of eighteen prisms of 25mm x 25mm x 286mm were prepared using a 1:3 (cement: fine aggregates) mix and 0.4 water to binder ratio. The specimens were prepared in three batches using recycled aggregates, conventional aggregates, and sand. An equal number of samples was used to evaluate sulfate resistance and alkali-silica reaction. The change in length of specimens was measured in a standard way from 1- to 28 days. The results at 14- and 28-days show that the percentile change in length of all specimens is less than the specified limit of concerned standards. The length change recorded at 14 days (in accordance with ASTM C1260 recommendations) of recycled aggregates is 342% (for alkali-silica reaction) and 57% (for sulfate resistance) better than conventional aggregates and sand. Therefore, the performance of recycled aggregates is concluded better compared to conventional aggregates and sand for both alkali-silica reactivity and sulfate resistance.
Medical insurance coverage of radiosurgery for glossopharyngeal neuralgia in Korea
Authors: Ahn Young Hwan
Published: March 2023

Glossopharyngeal neuralgia (GPN) is a cranial nerve rhizopathic disorder that presents as extreme neuralgic pain in the ipsilateral deep throat, tongue base, or ear. Attacks of pain are usually intense and electric shock-like, occurring either without warning or triggered by swallowing. GPN is roughly estimated to account for 1% of trigeminal neuralgia cases. Microvascular decompression (MVD) surgery for GPN is still challenging, but it can be a safe and efficient option, with an over 90% cure rate for neuralgic pain. However, the glossopharyngeal or vagus nerves are composed of thin and vulnerable bundles of fine fibers, making them sensitive to surgical manipulation, such as traction or compression. Disastrous side effects such as permanent swallowing difficulty, respiration difficulty, or fatal cardiac arrhythmia could occur during or after surgery. Furthermore, MVD may not be a suitable treatment option for elderly patients or those with serious medical conditions. Gamma Knife radiosurgery for patients with GPN has recently been covered by national medical insurance, in Korea.
ISOLATION AND CHARACTERIZATION OF PLANT GROWTH-PROMOTING BACTERIA FROM DIFFERENT RHIZOSPHERIC SOILS
Authors: Yasin Rimsha , Rasheed Sunbul , Cheema Mohsin Tassawar , Amin Aatif
Published: March 2023

The production of indole acetic acid (IAA) is a significant property of rhizospheric bacteria to stimulate and promote plant growth. In this investigation, indole acetic acid-producing bacteria from the rhizosphere of five distinct plants (Wheat, Gulchen, Rose, Lady Finger, and Bouginvella) were isolated and characterized. Bacterial strains were isolated and identified by morphological characterization. Out of 30 bacterial isolates, 5 isolates were selected as efficient producers of Indole acetic acid. These selected bacterial isolates were subjected to several biochemical tests for identification at the genus level. After the determination of bacterial genus, antibiotic sensitivity test was performed to check the resistance pattern of each bacterial isolate against antibiotics. Selected bacterial isolates were characterized by using molecular techniques. DNA of five bacterial isolates was extracted by WizPrepTMg DNA mini kit and amplification of 16S rRNA gene was done by PCR. Amplification of PCR product was confirmed by agarose gel electrophoresis. From biochemical tests, Klebsiella spp., E. coli, and Bacillus sp. tested positive. Klebsiella spp. showed 87, 88, 81, 88, 91, 100, 90, and 87% resistance against enrofloxacin, gentamycin, penicillin, ampicillin, chlotetracyclin, tylosine, oxytetracycline, and amoxicillin, respectively. E. coli showed 80, 88, 79, 84, 79, 86, 82, and 89% against enrofloxacin, gentamycin, penicillin, ampicillin, chlotetracyclin, tylosine, oxytetracycline, and amoxicillin respectively whereas 87, 91, 100, 100, 93, 100, 89 and 100% resistance was shown by Bacillus sp. against enrofloxacin, gentamycin, penicillin, ampicillin, chlotetracyclin, tylosine, oxytetracycline, and amoxicillin, respectively. All these selected bacterial isolates were found positive for the 16S rRNA gene and characterized as Klebsiella pneumonia RY6, Klebsiella oxytoca strain RY8, Klebsiella oxytoca RY10, Escherichia coli RY20, and Bacillus tequilensis RY23. It is concluded that the property of synthesizing IAA is considered an effective tool for the isolation and characterization of bacteria that have a role in promoting plant growth.
Magnetized Tri-hybrid Nanofluids flow with binary Chemical Reaction and activation Energy through the porous Surfaces
Authors: Abideen Muhammad Zain Ul , Faisal Muhammad , Akbar Muhammad Zubair
Published: March 2023

Hybrid nanofluids are important to researchers because of their industrial applications due to their high heat transfer rates. Tri hybrid different types of nanoparticles are discussed here with Newtonian fluids under the effect of MHD. The most important chemical reaction associated with mass transfer and activation energy parameters hasbeen discussed in detail. The current research focuses on two-dimensional fluids with heat transfer enhancement flowing over a porous surface. The mathematical modeling of the problem, as well as empirical relations for nanoparticle materials, is expressed as PDEs, which are then translated into ODEs using appropriate variables. The Runge–Kutta and shooting methods are combined to solve the problems of the created coupled differential system. Variations in nanoparticle volume fraction at the lower and upper walls of porous plates, as well as heat transfer rate measurements, are computed using controlling physical factors. The impact of flow-related variables on the axial, radial, and temperature components of velocity and temperature distribution is also assessed.
Fractional Generalized-Maxwell ﬂuid through Rectangular duct under an Oscillating pressure Gradient
Authors: Arshad Kinza
Published: March 2023

Analytical solution for the ﬂow of an unsteady GMHD ﬂuid in a rectangular duct due to oscillating pressure gradient is studied. The velocity ﬁeld and tangential tensions are calculated by applying double ﬁnite-Fourier sine transform & Laplace transforms. These are represented as integral and series form in the form of G-functions. The fluid ﬂow is observed in the absence of MHD and porosity.
Application of Fractional Derivatives in Characterization of ECG graphs
Authors: Hussain Haris , Masham Muhammad , Ali Rana Faryyad , Iqbal Shahid
Published: March 2023

In this paper, we have discussed the prediction of Left Ventricular Hypertrophy (LVH) and Right Ventricular Hypertrophy (RVH) of the heart from an Electrocardiogram (ECG) Graph using fractional order calculus. An ECG is a rough or unreachable curve that is continuous everywhere but non-differentiable at some points or all points where classical calculus fails. The purpose of this paper is to find left and right fractional derivatives at those non-differentiable points and then predict LVH and RVH by calculating the phase transition values (absolute difference of left and right fractional derivatives). Fractal dimension and Hurst exponents of V1, V2, V5, and V6 leads of the ECGs have been calculated for both problematic and normal ECGs. All such measures will help doctors to diagnose LVH and RVH from ECG in a more accurate manner as compared to the techniques which are under the classical order method.
Heat & Flow Mass Transfer over a Magnetized Wedge: A Numerical Study
Authors: Batool Kiran , Ali Kashif
Published: March 2023

The mass &. heat transport characteristics of. the flow incorporating microstructuresoevr a. wedge are interpreted in this article. The controlling parameters describe the primary characteristics of the issue. The distributions of both velocity and temperature are looked at using the different provided values of the parameters. The similarity variables are used to convert the fundamental controlling PDEs as a collection of ordinary ones, which then solving with the sequential over relaxation parameter (SOR) method. The flow is shown to decelerate using higher values for the material parameters where as beingsped up by raising the wedge angles using numerical results. Thermal radiation and the magnetic field have a negligible impact on temperature distributions. Additionally, when the wedge's values rise, the thermal boundary layer thickens.
Determination of awareness, attitude and sensitiveness of dog owners and levels of understanding of dog body language
Authors: Şeker İbrahim , Erten Ömer , Köseman Abdurrahman
Published: March 2023

This research was carried out to determine the identification of the awareness, attitude and sensitiveness of dog owners in Türkiye, and levels of understanding the body language of dogs. The research material consisted of data obtained from face-to-face surveys with randomly selected 172 dog owners. In the study, the differences between the education level categories of dog owners were found to be statistically significant (P<0.01), but not for marital status, child ownership, age and household income (P>0.05). In addition, the rate of those who did not have children was found to be higher among those who adopted dogs for the reasons of animal love/compassion (58.6%) and feeling of loneliness (75.0%). According to the findings, dog owners spend a maximum of 1-2 hours with their dogs during the day. Men have more difficulty in caring for their dogs than women due to lack of time, financial constraints and other reasons. In this study, dog owners were able to correctly identify 10 of the 20 images of dog body language at a medium and high level (50.0-95.3%), and 10 of them at a low and very low level (47.7-4.1%). As a result; It is important for those who want to have a dog to make an attempt by questioning whether they have the necessary time, energy and financial means. In addition, it is thought that it is important to learn the body language of dogs, that there is a need for institutional structures that will help people who own or want to acquire dogs in this regard and in the field of general breeding, and teach them the requirements of their responsibilities.
The Rate Of Malaria Parasites Co –infection Salamoella TyphO And Para- Typhi BO In Khartoum State
Authors: , E .E MOHANAD , , Y. L, Jamal , M.Hassan Nazik , .B,S Abdelsalam
Published: March 2023

Background: .

Malaria is serious vector –borne tropical diseases that remains one of the primary reasons for death in several countries . Malaria  and typhoid  co-infection is a major public health problem in many developing countries. Most of the co-infections treated are based on methods of diagnosis plagued with assumptions which possibly exaggerate the situation. Objective: This the aim of this work was to investigate the rate of co-infection with respect to the use of direct Widal test for diagnosing typhoid fever in Khartoum state .

Method: This was based descriptive cross-sectional malaria of Plasmodium falaciprum and Salamoella  . A total of 100 blood samples were collected from patients with a clinical of malaria positive and examined for malaria parasites and S. typhi infection.

Results: This study was conducted in Khartoum State between 2020 to 2021 in individual form different age groups form both male and female, out of 100 samples were positive for malaria parasites(Plasmodium falciprum) by blood films (100%) and immunochormatogrphy test 80(80%)  , 52(52%) of which were positive for salmonella typhiO and 18(18%) salmonella para-  typhi BO by the direct  Widal test.
Analysis of the 3D printing open-source video laryngoscope for orotracheal intubation
Authors: Opolski Isadora , Sousa Samuel da Rosa , Franck Claudio
Published: March 2023

Introduction Orotracheal intubation becomes a challenge for the anesthesiologist when the glottis is not visualized with direct laryngoscopy. Videolaryngoscopes emerged as an alternative in these situations, but the costs of these devices restrict their popularization. Doubts remain as to whether low-cost devices would be safe and effective, such as the 3D printing Open-Source video laryngoscope. Aim To analyze the 3D printing Open-Source video laryngoscope for orotracheal intubation for general anesthesia in its the rate of achieving, glottis visualization time, intubation time and its correlation with the order of execution. Methods Clinical, prospective, analytical study of a questionnaire carried out after the procedure. Statistical analysis was performed using Spearman’s correlation, Kruskal-Wallis test, and chi-square test. Results There was a total of 64 uncomplicated orotracheal intubation procedures with an overall success rate of 93.8%. Mean time for viewing the glottis (16.4”), mean times of endotracheal intubation with Mallampati I (26.5”), ll (33.7”), lll (57.3”), lV (38.5”) were obtained with no statistical significance (P 0.170) and overall mean time of orotracheal intubation (36.4”) with a moderate negative correlation of –0.36 across the orotracheal intubation execution order. Conclusion In the analysis of endotracheal intubation with the 3D printing Open-Source video laryngoscope a high success rate was demonstrated without any complications. The time to obtain endotracheal intubation tends to reduce with subsequent experiences and learning, but it is more than twice the time required to adequately visualize the glottis and the Mallampati classification was not a relevant time predictor. Keywords Orotracheal intubation; Videolaryngoscopy, Airway management
Modified Model for the Moon Sighting and Phases
Authors: Hafez Gamal
Published: March 2023

The modified moon sighting model is developed from the basic moon sighting model by adopting more phases. The preference of the new model is proved by its ability to predict extra three moon phases, first quarter, last quarter and dark moon. The modified model predicts the start date of 18 lunar months, from March 2022 to July 2023. The results of the new modified model correct the results of the basic model in 3 months, Dul-Hejjah 1443 H and Safar and Rabi-Second 1444 H. The comparisons of the new model 18 results are performed against the available results of different 3 references. The improved results of the new model are concluded by achieving the highest agreement rate of 79.2% with no single odd-result. The calendar of the modified moon sighting model is presented in a new innovative format.
Determination of Temperature Distribution of Rohri, Sindh using Artificial Neural Network and Regression Analysis
Authors: Adeel Tahir  , Muhammad Ashraf  , Zaheer Uddin  , Muhammad Sarim  , Syed Masood Raza
Published: March 2023

As time passes, the world is facing the problem of global warming, which results in a rise in average daily temperature. Proper knowledge of temperature distribution and future prediction may help to cope with the situation in the near future. Climate forecasting has gone through various faces; in the early days’ people used to predict the behavior qualitatively. Now environmental scientists have developed a quantitative method for forest climate behavior with certain uncertainties. Empirical models have been developed based on regression analysis to estimate temperature distribution. Two models, linear and non linear, use dew point temperature and relative humidity as independent variables. In addition to regression analysis, Artificial Neural Network (ANN) has been utilized to predict the average daily temperatures of Rohri Sindh, a city in Pakistan in the Sindh province. Both empirical models and ANN estimates are in good agreement with the known values of average daily temperatures.
Tidal Range Energy Resource Estimation of Khor Kalmat using Geostatistical Modeling
Authors: Ambreen Insaf  , Mirza Salman Baig  , Saba Javaid  , Umair Abbas  , Zaheer Uddin
Published: March 2023

Electrical power generation by tidal energy provides various advantages. The energy is highly predictable, has less impact on ecological pollution and provides an indefinite amount of renewable energy. The countries like Canada, China, Russia, South Korea and France are extensively utilizing tidal sources of energy for the generation of electrical energy. A suitable site (where less construction is required), adequate tidal range and sufficient bathymetry; are the basic requirements for the installation of a tidal power plant however sometimes there is no tidal data available for suitable sites, like Khor Kalmat tidal lagoon in Pakistan. Therefore, the first time study is conducted to assess the tidal energy resources of the naturally blessed lagoon, Khor Kalmat, which is located in the Baluchistan province of Pakistan, by using geostatistical modeling. A geostatistical model is developed to estimate the tidal energy potential at Khor Kalmat by using observed data of five available locations along with the coastal belt of Pakistan. Models are designed by integrating several layers into ArcGIS. These layers include tidal data, satellite metaphors and other physical and socioeconomic layers. After processing of data, digitized models and layers are generated. Five different models have been compared and the best model is carefully chosen to predict the tidal data of Khor Kalmat after validation of the individual model, During the study, it was observed that low head hydro tidal turbine of Venturi-Enhanced Turbine Technology (VETT) is best suited for harnessing tidal energy due to adequate tidal range. Consequently, by means of a bi-directional VETT device, the output power is assessed to be 269.93 MW.
Gun Detection in CCTV Images using HAAR-Like Features
Authors: Sami Ur Rahman  , Fakhre Alam  , Wajid Ali
Published: March 2023

Automated video-based surveillance is an important area of research to assist the security personnel to detect the incident of any abnormal events in the surroundings. The objective of this paper is to develop a framework for automatic gun detection using closed-circuit television (CCTV) images. The methodology presented in this paper involves the development of a framework for automatic gun detection using closed-circuit television (CCTV) images, with the aim of enhancing the surveillance of crime and improving human security. The proposed approach consists of a dataset of CCTV images containing instances of guns, as well as non-gun images for comparison. These images would be used to train the proposed algorithm to recognize and identify guns in future CCTV images. The proposed framework is designed for an indoor environment and uses Haar-like features for gun detection. The proposed system involves the installation of CCTV cameras in a suitable corner of an indoor environment for surveillance. The CCTV cameras capture the scene and the frames of the scene are compared with a predefined dataset for automatic gun detection. The proposed approach draws a bounding box and raises an alarm if it detects a gun in a frame extracted from a captured scene. This provides a visual indication of the presence of a gun, making it easier for relevant authorities to quickly identify and respond to the threat. The proposed system shows promising results in real-time applications and about 90% accuracy has been achieved.
Modeling and Intelligent Controller Design for Reactor Regulating System of Advanced CANDU Reactor (ACR-700) in LabVIEW
Authors: Arshad H. Malik  , Feroza Arshad  , Aftab A. Memon
Published: March 2023

In this research work, an Advanced CANDU Reactor of 700 MWe rating (ACR-700) is attempted for Reactor Regulating System (RRS) modeling and intelligent controller design. ACR-700 is a state-of-the-art advanced generation-III reactor. The reactor regulating system is modeled with special emphasis on internal and external reactivity devices. ACR-700 is designed with Liquid Zone Control (LZC) Model, Adjuster Banks Model, Absorber Banks Model and Shutdown Banks Model. The RRS model is a highly sophisticated model developed based on the principle of spatial nuclear reactor dynamics. The RRS model is a multivariable model. The spatial reactor dynamics is modeled based on five internal feedbacks and three feedbacks. The original controller design of RRS is comprised of a PID control algorithm. The control design is reattempted with an advanced intelligent algorithm in which the ANFIS controller is used as a modern control design tool. The new ANFIS controller is basically a multivariable controller. All the modeling of RRS is implemented in Visual Basic (VB) Software while the controller is configured in LabVIEW. A special toolkit is designed for the interfacing of Visual Basic and LabVIEW known as VBLAB. The optimization of intelligent controller parameters is carried out by Genetic Algorithm (GA). The GA-optimized intelligent controller is configured with the VB RRS model. All the variable trends are visualized in the VB environment. The proposed closed-loop ACR-700 RRS control system is tested for small perturbation Analysis and power ramp-down transient and found with excellent behavior well within the design limits. The performance of the suggested ACR-700 RRS controller is compared with the existing conventional controller. The performance of the suggested control scheme is marked with reduced oscillations and faster as compared to the existing control scheme.
ANALISIS STRUKTUR EKONOMI DAN IDENTIFIKASI SEKTOR UNGGULAN DALAM PEREKONOMIAN DAERAH KABUPATEN ROKAN HILIR
Authors: Arwinsa Argi Priangga  , Dahlan Tampubolon  , Wahyu Hamidi
Published: March 2023

Penelitian ini dilakukan di Kabupaten Rokan Hilir Provinsi Riau bertujuan untuk mengetahui potensi dan mengidentifikasi pola pertumbuhan serta penyebaran sektor ekonomi guna mendukung kemajuan perekonomian daerah Kabupaten Rokan Hilir. Penelitian ini menggunakan pendekatan kuantitatif berupa angka-angka yang di publikasi Badan Pusat Statistik Provinsi Riau dan Kabupaten Rokan Hilir. Data yang di pergunakan dalam penelitian ini yakni PDRB atas dasar harga konstan Provinsi Riau tahun 2011-2020 dan PDRB atas dasar harga konstan Kabupaten Rokan Hilir tahun 2011-2020. Alat analisis yang digunakan meliputi Location Quotient (LQ), Shift-Share, Typologi Klassen, Indeks Lokalisasi, dan Indeks Spesialisasi. Hasil penelitian memperlihatkan bahwa sektor Pertambangan dan Penggalian serta sektor Pertanian, Kehutanan dan Perikanan merupakan sektor basis dan tergolong sebagai sektor maju dengan pertumbuhan dan kontribusi yang besar dalam membentuk PDRB Kabupaten Rokan Hilir, namun hingga saat ini penyebarannya terdiversifikasi atau belum terjadi pemusatan serta tidak memiliki aktivitas khas yang terspesialisasi secara relatif terhadap Provinsi Riau. Dengan mengetahui potensi yang tersedia di harapkan pemerintah selaku pemangku kebijakan dapat memanfaatkan secara maksimal guna mendukung kemajuan perekonomian daerah serta tetap memperhatikan sektor-sektor yang pekembangannya masih kecil agar dapat memberi dampak yang besar di masa depan.
STRATEGI PENGEMBANGAN USAHA INDUSTRI KECIL GANTRA BETTA FISH TULUNGAGUNG DALAM PERSPEKTIF SWOT DAN BMC
Authors: Abdul Hafiz Ihza Mahendra  , Asmawi
Published: March 2023

Potensi sektor perikanan di Indonesia terbilang sangat besar, apalagi di wilayah Tulungagung yang sudah memiliki produk unggulan ikan hias. Budidaya ikan hias termasuk usaha yang bisa masuk ke semua kalangan masyarakat, karena budidaya ikan hias tidak memerlukan lahan yang luas, dan biaya yang dikeluarkan juga terbilang terjangkau. Salah satunya usaha industri kecil Gantra Betta Fish Tulungagung. Menjamurnya pedagang maupun pembudidaya ikan hias di Tulungagung membuat Gantra Betta Fish Tulungagung harus memiliki strategi untuk mengembangkan usaha. Untuk mengetahui strategi apa yang tepat dilakukan, dalam penelitian ini mengkaji tentang formulasi strategi pengembangan usaha industri kecil melalui SWOT dan BMC. Untuk mengembangkan usaha Gantra Betta Fish Tulungagung perlu memperbaiki strategi usaha dengan tujuan meningkatkan penjualan dan pendapatan. Upaya peningkatan strategi usaha  dilakukan dengan menganalisis sembilan elemen kunci Bisnis Model Canvas dan dianalisis mendalam menggunakan analisis SWOT untuk uji kekuatan (Strength), kelemahan (Weakness), ancaman (Threats ) dan kesempatan (Opportunity). Penelitian ini merupakan penelitian kualitatif yang berbentuk studi kasus. Model analisa data menggunakan model analisis spradley dengan tahapan analisis domain, analisis taksonomi, analisis kompensial dan analisis tema.
ANALISIS PERTUMBUHAN EKONOMI JAWA TENGAH DAN FAKTOR YANG MEMPENGARUHI BERDASARKAN PDRB
Authors: Delfina  , Jessica  , Fionna Quinn  , Jesseline Chang
Published: March 2023

Economic conditions in Central Java Province have improved from time to time. So that a study was conducted to determine and analyze the factors that can affect the economic growth of Central Java Province for the 2020 period with reference to the 2015-2020 PDRB. The data is collected through the Central Java Statistics Agency and will be analyzed through the stages of data reduction, data display and conclusion drawing. The results of the analysis show that the increase in PDRB in 2015 to 2019 shows very good economic growth in Central Java but due to the pandemic period, PDRB in 2020 has decreased due to limited public consumption activities, government spending, investment and exports and imports. In the future, the Central Java Government can focus on infrastructure development and empowering the poor as well as creating open job opportunities for the unemployed.
PENGARUH KEPEMIMPINAN, KOMPENSASI DAN LINGKUNGAN KERJA TERHADAP DISIPLIN KERJA KARYAWAN DI SWALAYAN DEWI SRI MAGETAN
Authors: Sri Hartono
Published: March 2023

The study aims to determine the effect of leadership, compensation and work environment on employee work discipline in the Dewi Sri Magetan supermarket. This type of research is a survey. Research subjects were 54 self-service employees. This data was collected by questionnaire and analized using multiple linear regression analysis. The result of the study show that : 1) leadership has a positive effect on employee work discipline with value tcount 3,645 > ttable 2,009with a significant 0,001. 2) compensation has a significant positive effect on employee work discipline with a tcount of 3,123 > ttable 2,009 with a significant of 0,003. 3) the work environment has a significant positive effect on employee work discipline with a value of tcaount of 3,547 > ttable 2,009 with a significant of 0,001. 4) Leadership, compensation, and work environment simultaneously effect employee work discipline with a fcount 12,668 > ftabel 2,56 with a significant 0,000. The contribution of leadership, compensation and work environment influence  positively to employee work discipline by 48,1%. The regression equation obtained is Y= (-6,394) + 0,591 X1 + 0,431 X2 + 0,314 X3 + e.
ANALISIS PERANAN TEKNOLOGI INFORMASI TERHADAP PERSAINGAN BISNIS ONLINE DI MASA PANDEMI COVID-19
Authors: Farah Indah Azhari  , Ifti Ayuni  , Irham Lutfiansyah  , Nurbaiti
Published: March 2023

This study focuses on the use of information technology for business competition during the pandemic (covid-19). The purpose of this study is to analyze and use information technology to maintain business during a pandemic. The method used is a qualitative research method with a library research approach. The analytical method used is descriptive analysis, the data taken is secondary data, and the technique used is literature study. The results of the study show that: information technology is very influential on life, especially on business competition during the pandemic covid-19, During this pandemic the government is not allowed to leave the house so that people use information technology by shopping through e-commerce (online), The work of improving information technology today cannot be separated from the business world, because advances in information technology can provide different benefits and accommodations in conducting business exercises, the role of information technology in business is to gain or gain a comparative advantage. shows that information technology plays an important role in organizations by utilizing information technology, it is hoped that a company can explore its potential to the fullest and strive for excellence in the competition.
PENTINGNYA INFORMASI MANAJEMEN SUMBER DAYA DATA DALAM BANK SYARIAH
Authors: Ayu Ismah Azizah Kurinci  , Haritz Harahap  , Maulida Jam'ah  , Nurbaiti
Published: March 2023

Pesatnya perkembangan teknologi informasi yang ditandai dengan hadirnya beberapa perangkat khusus terkini, misalnya telepon seluler, di mana setiap orang dapat memproses, memproduksi, dan mengirim serta menerima segala jenis pesan korespondensi, di mana pun dan kapan pun, seolah-olah tanpa mengetahui batas-batas keberadaan, tanpa bantuan dari orang lain telah mendorong perbaikan di bidang komunikasi yang luas, yang berarti penting untuk bagian korespondensi.Penelitian ini bertujuan untuk menguji, memahami pentingnya manajemen sumber daya data, sistem operasional bank syariah dan juga sitem informasi bank syariah. Metode yang digunakan peneliti disini yaitu metode penelitian Kualitatif yang menghasilkan data deskriptif. Hasil penelitian menunjukkan bahwa sistem data bank syariah memberikan kemudahan serta kenyamanan dalam memanfaatkan menu-menu pada administrasi, seperti web banking yang dapat digunakan tanpa memiliki kemampuan khusus, dan dilindungi karena web banking dilengkapi dengan fitur berlapis. kerangka keamanan dan Anda akan dilengkapi dengan token (perangkat yang mengeluarkan kata sandi yang berubah setiap kali Anda melakukan pertukaran uang). Sehingga administrasi kerangka data perbankan syariah dapat berjalan secara efektif dan efisien dengan administrasi keamanan bank yang mumpuni, kesempurnaan dan kenyamanan dalam administrasi keuangan elektronik melalui administrasi aplikasi keuangan portabel, web banking atau kantor elektronik lainnya, yang dapat diakses secara efektif oleh klien atau klien administrasi.
PENGARUH PENERAPAN LAPORAN ARUS KAS OPERASI, ECONOMIC VALUE ADDED, DAN LABA KOTOR TERHADAP VOLUME PERDAGANGAN SAHAM PERUSAHAAN PROPERTI DAN REAL ESTATE DI BURSA EFEK INDONESIA
Authors: Falih Muhammad Ghozi Falih Afifi , Alwan Sri Kustono  , Gardina Aulin Nuha
Published: March 2023

This study aims to examine the effect of cash flow, economic value added and gross profit on stock volume by trading stock trading volume. In this study, all plantation companies listed on the Indonesia Stock Exchange for the period 2016-2019 using SPSS Version 21 program. The results showed that cash flow had no significant effect on stock volume. Economy value added and gross profit have no effect on stock volume. Share volume cannot mediate or be an intervening variable between total cash flow, economic value added and gross profit to share volume.
PENGARUH UKURAN PERUSAHAAN, LEVERAGE, DAN PROFITABILITAS TERHADAP TAX AVOIDANCE
Authors: Dwi Urip Wardoyo  , Adliana Dwi Ramadhanti  , Dewi Ummu Annisa
Published: March 2023

Tujuan penelitian ini adalah untuk mengetahui pengaruh ukuran perusahaan, leverage,  dan profitabilitas terhadap tax avoidance pada perusahaan sub sektor makanan dan minuman  yang terdaftar di Bursa Efek Indonesia perioder 2017 – 2020. Variabel X yang digunakan dalam penelitian ini adalah ukuran perusahaan, leverage, dan profitabilitas. Variabel Y  yang digunakan adalah tax avoidance. Sampel dalam penelitian ini ditentukan dengan menggunakan teknik purposive sampling sehingga terdapat sebanyak 48 sampel dari perusahaan yang terdaftar di Bursa Efek Indonesia periode 2017 – 2020. Metode penelitian yang digunakan adalah deskriptif. Teknik analisis yang digunakan dalam penelitian ini adalah analisis regresi berganda dengan menggunakan aplikasi SPSS. Hasil penelitian ini menunjukkan bahwa leverage berpengaruh terhadap tax avoidance, sedangkan ukuran perusahaan dan profitabilitas tidak berpengaruh terhadap tax avoidance.
PENGARUH KINERJA KEUANGAN, NILAI PERUSAHAAN, DAN UKURAN PERUSAHAAN TERHADAP KOMPENSASI EKSEKUTIF
Authors: Dwi Urip Wardoyo  , Andini Damayanti  , Syifa Denali Kairinnisa
Published: March 2023

Tujuan penelitian ini adalah untuk mengetahui pengaruh kinerja keuangan, nilai perusahaan, dan ukuran perusahaan terhadap kompensasi eksekutif pada perusahaan sub sektor perkebunan yang terdaftar di Bursa Efek Indonesia periode 2018 - 2020. Kinerja keuangan diukur menggunakan Return on Equity (ROE). Nilai perusahaan diukur menggunakan Market to Book Value Ratio (MBV). Ukuran perusahaan diukur menggunakan Logaritma Natural (Ln) Total Aset. Kompensasi Eksekutif diukur menggunakan Logaritma Natural (Ln) Kompensasi Eksekutif. Metode penelitian yang digunakan adalah deskriptif dengan menggunakan pendekatan studi kausal dan Analisis data menggunakan analisis regresi berganda menggunakan SPSS versi 25. Teknik sampling yang digunakan yaitu purposive sampling.  Sampel penelitian sebanyak 14 perusahaan yang terdaftar di Bursa Efek Indonesia periode 2018 - 2020.
STUDI KOMPARATIF PENDAPATAN USAHA MIKRO KECIL DAN MENENGAH (UMKM) PADA USAHA OLEH-OLEH KHAS BENGKULU SEBELUM DAN DI MASA PANDEMI COVID-19
Authors: Mardianti Rara , Lustiana Riska , Yarmunida Miti , Afrida Indra Yetti
Published: March 2023

This study aims to compare the income of MSMES at souvenir shops typical of Bengkulu before and during the Covid 19 pandemic and to find out the survival strategies that can be used by Bengkulu souvenir shops during the Covid-19 pandemic. The method used in this study uses a descriptive quantitative approach. The results showed that there were significant differences in the income level of MSMES in Bengkulu souvenir shops before and during the pandemic. Based on the analysis of the marketing strategy of MSME actors in Bengkulu souvenir shops, the following survival strategies can be used: 1) Increasing Human Resources, 2) Implementing Creative Innovations, 3) E-Marketing Strategies In Promotion, 4) Product And Service Quality Improvement, 5) Production Cost Reduction.
Frequency of spontaneous bacterial peritonitis in liver cirrhosis patients with ascites
Authors: Khan Muhammad Sajjad , Fahim Muhammad , Sohail Muhammad , Kamran Kamran , Gillani Syeda Rubina , Naeem Sundus , Ullah Inam , Rashid Salman Ur
Published: March 2023

Background: When cirrhosis and ascites are present, a very common bacterial infection known as spontaneous bacterial peritonitis (SBP) often develops. This condition must be early diagnosed and treated to reduce morbidity and mortality. Objective: To assess the frequency of Spontaneous Bacterial Peritonitis in Liver Cirrhosis patients with Ascites. Methodology: This cross sectional study was carried out at the department of gastroenterology, Lady Reading Hospital Peshawar. The duration of study was two years from January 2018 to December 2019.  Spontaneous bacterial peritonitis was diagnosed as positive when the ascitic fluid bacterial culture was positive. Ascitic fluid was taken in aseptic condition and send to the hospital diagnostic laboratory for the culture test. All the information’s were recorded in a proforma designed for this research. Data was analyzed by using SPSS version 24. Results: In the current research, totally 150 liver cirrhosis patients with ascites were enrolled. The male patients in our study were 87 (58%) while female patients were 63 (42%). The mean age of the participants (SD) was 48 (4.95) years. The frequency of Spontaneous Bacterial Peritonitis was 60 (40%).