bluuebunny/crossref_metadata_2025 huggingface dataset:
THE CHALLENGE OF LEARNING THE MALAY LANGUAGE OF KSSM FOURTH FORM STUDENTS ONLINE DURING THE COVID-19 PANDEMIC
Authors: M. Veloo V.Ravindran , Reduzan Norul Haida
Published: October 2023

COVID-19 has disrupted most sectors in the world. Online learning is the best solution to continue education during the pandemic, especially among upper secondary students. Therefore, this study aims to determine the challenges and obstacles in learning the Malay language faced by fourth grade students of the Standard Secondary School Curriculum (KSSM) in Bangsar Zone, Federal Territory of Kuala Lumpur. This phenomenon occurred during the transition period to online learning at the beginning of 2020 due to the COVID-19 pandemic. This study is to evaluate the students' challenges in the learning experience and facilitation (PdPc) of KSSM's Malay language. The feasibility of this virtual learning method was achieved by analyzing 356 student responses to a survey-based questionnaire. The results of the survey as many as 208 completed answers were taken into account for the purpose of this study. Descriptive statistical methods were used to test the validity of the study. It was found that the main problems affecting and impacting the learning of Malay language for form 4 students online during COVID-19 are related to technical, academic and communication challenges. The results of the study show that most form 4 students do not agree to continue learning online, because they cannot meet the expected progress in KSSM Malaylanguagelearning performance, especially essay writing, grammar and the Literary Component.
Comparing the Pretreatment with Lignocaine 40 mg and Fentanyl 100 ug as an Adjuvant for Preclusion of Pain Associated with Intravenous Propofol Injection
Authors: Alam Syed Adnan , Ullah Khan Rashid , Bilal Muhammad , Liaqat Khurram , Rahna Afia , Iqbal Javed
Published: October 2023

Abstract

Background: Propofol (2,6-di-isopropylphenol) is one of the most favored drugs used for induction of anesthesia. Pain on injection is a common problem. Various methods have been tried to alleviate this pain but with conflicting results.

Objective: To compare effectiveness of lignocaine versus fentanyl in patients receiving propofol for general anesthesia in population of Pakistan who come to PIMS hospital in Islamabad.

Materials and Methods: 120 participants of either sex, between 18 and 40 years of age, belonging to ASA physical status I and II, undergoing elective surgery under general anesthesia, were randomized into two equal groups of 60 participants. They received, intravenously, either lignocaine 2 ml (20 mg/ml )or fentanyl 2 ml (50 mcg/mL) as a pretreatment before propofol injection.

Results: The efficacy of lignocaine as a pretreatment drug injection was higher (96.7%) compared to fentanyl (85.0%). In the lignocaine group, 2.3% of the participants experienced pain as compared with 15% in the fentanyl group (P<0.05).

Conclusion: Compared with fentanyl, lignocaine pretreatment was more effective in preventing pain on propofol injection.

KEY WORDS: Comparison, Fentanyl, LIgnocaine, Propofol, Pain.
Positron annihilation lifetime measurement with TOF-PET detectors: feasibility of Iodine-124 use
Authors: Takyu Sodai , Ikeda Hayato , Wakizaka Hidekatsu , Nishikido Fumihiko , Matsumoto Ken-ichiro , Tashima Hideaki , Suzuki Hisashi , Funaki Yoshihito , Watabe Hiroshi , Takahashi Miwako , Yamaya Taiga
Published: October 2023

Positronium (Ps) imaging is getting attention for nuclear medicine applications, but appropriate radionuclides have not been evaluated systematically. This paper investigated the use of 124I, which is a positron emitter with 603 keV prompt gamma ray emission with a fraction of 11.7%. The accuracy of positron annihilation lifetime measurement with 124I was compared with 22Na, which is often used in positron annihilation lifetime measurement, for certified reference materials. Results obtained with TOF-PET detectors suggested that the accuracy of the lifetime value estimation was slightly worse than that for 22Na, while the positron annihilation lifetime measurement using 124I was a feasible choice.
Information Categorization for Canopy Mapping using Quality Control (QC) Tool – Affinity Diagram (KJ Method)
Authors:   Assistant Professor, Department of Civil Engineering, Kumaraguru College of Technology (KCT), Coimbatore, India., Nishant
Published: October 2023

Canopy mapping involves the process of accurately delineating and assessing the distribution and extent of green spaces, trees, and vegetation within a designated area. Understanding the canopy's characteristics holds paramount importance, as it plays a critical role in supporting biodiversity, regulating microclimates, and mitigating the adverse impacts of urbanization on the environment. This research paper focuses on exploring the practical application of the KJ method and collaborative brainstorming to gather and organize relevant information for canopy mapping. The study engaged six undergraduate students, under the guidance of a faculty member specialized in geoinformatics, in a productive brainstorming session, generating twenty-one diverse ideas related to canopy mapping. Through a methodical process of iterative refinement and consensus-building, the students effectively grouped these ideas into four distinct categories: "Data Sources," "Canopy Estimation Process," "Canopy Map Development," and "Accuracy Assessment." The resulting Affinity Diagram served as a clear and well-structured representation of the research paper's key aspects, harnessing the collective intelligence of the team to organize complex information and facilitate the precise mapping of tree canopies. This collaborative approach proved instrumental in enhancing the project's efficiency and effectiveness, promoting a cooperative environment that fosters innovation and informed decision-making.
Secure Precoding and User Association for Multiuser Hybrid RF/VLC Systems
Authors: Wanderley Gomes da Silva Isabella , Benítez Olivo Edgar Eduardo , Katz Marcos , Moya Osorio Diana Pamela
Published: October 2023

To overcome the limitations of visible light communications (VLC) systems while still benefiting from the high data rates and inherently secure transmissions, hybrid systems combining radio frequency (RF) and VLC have gained appeal towards the next generation of wireless networks. In this paper, the potential of hybrid systems from the security perspective is investigated by proposing a joint precoding and user association (JPUA) scheme to maximize the sum secrecy rate of a multiuser hybrid RF/VLC system. Specifically, it is assumed that the RF access point is equipped with multiple antennas while the VLC access point is equipped with multiple light emitting diodes. The optimization problem is divided into two sub-problems, the user association strategy and the precoding design for each of the access points. For the former, an algorithm based on coalitional game theory is proposed. The latter leads to a non-convex fractional programming problem, which is reformulated using the constrained convex-concave procedure, thus efficiently converging to an optimal solution. Numerical results show that the proposed hybrid RF/VLC scheme provides significant gains in terms of sum secrecy rate, compared to different baseline schemes, such as the VLC or RF standalone schemes, in addition to allowing the connection of a higher number of users.
Decarbonizing integrated chlor-alkali and vinyl chloride monomer production: Reducing the cost with industrial flexibility
Authors: Foslie Sverre Stefanussen , Straus Julian , Knudsen Brage Rugstad , Korpås Magnus
Published: October 2023

Industrial demand response will become increasingly important in power grids with high shares of variable renewables, yet the existing knowledge on how the industrial electricity demand and flexibility will change with the decarbonization of chemical processes is limited. Here we develop a mixed-integer linear optimization model, which we use to compare the cost and flexibility of the most relevant decarbonization options for the combined chlor-alkali electrolysis (CAE) and vinyl chloride monomer (VCM) production process. We combine product and energy storage to enable the full flexibility potential of the decarbonized process. Our results show that flexible operation of the CAE process is deemed technically possible but limited by internal process dependencies due to decarbonization of the VCM production. Combining energy and product storage for demand response enables up to 4% operational cost reduction by shifting loads during peak price hours. High overcapacity of PEM electrolyzers are required to release the full flexibility potential in the hydrogen based decarbonization option, while the less flexible direct electrification option shows a potential for OPEX reduction. Full decarbonization of the combined CAE and VCM process without increasing operational cost significantly appears difficult. Our study emphasizes demand response through product and energy storages as a viable pathway for minimizing the added cost, and also enables a significant reduction of electric demand in high-price hours. 
Multi-scale Hypergraph-based Feature Alignment Network for Cell Localization
Authors: Li Bo
Published: October 2023

Cell localization in medical pathology image analysis is a challenging task due to the significant variation in cell shape, size and color shades. Existing localization methods continue to tackle these challenges separately, frequently facing complications where these difficulties intersect and adversely impact model performance. In this paper, these challenges are first reframed as issues of feature misalignment between cell images and location maps, which are then collectively addressed. Specifically, we propose a feature alignment model based on a multi-scale hypergraph attention network. The model considers local regions in the feature map as nodes and utilizes a learnable similarity metric to construct hypergraphs at various scales. We then utilize a hypergraph convolutional network to aggregate the features associated with the nodes and achieve feature alignment between the cell images and location maps. Furthermore, we introduce a stepwise adaptive fusion module to fuse features at different levels effectively and adaptively. The comprehensive experimental results demonstrate the effectiveness of our proposed multi-scale hypergraph attention module in addressing the issue of feature misalignment, and our model achieves state-of-the-art performance across various cell localization datasets.
Layout Optimization for Photovoltaic Panels in Solar Power Plants via a MINLP Approach
Authors: Mignoni Nicola , Carli Raffaele , Dotoli Mariagrazia
Published: October 2023

Photovoltaic (PV) technology is one of the most popular means of renewable generation, whose applications range from commercial and residential buildings to industrial facilities and grid infrastructures. The problem of determining a suitable layout for the PV arrays, on a given deployment region, is generally non-trivial and has a crucial importance in the planning phase of solar plants design and development. In this paper, we provide a mixed integer non-linear programming formulation of the PV arrays' layout problem. 

First, we define the astronomical and geometrical models, considering crucial factors such as self-shadowing and irradiance variability, depending on the geographical position of the solar plant and yearly time window. Subsequently, we formalize the mathematical optimization problem, whose constraints' set is characterized by non-convexities. In order to propose a computationally tractable approach, we provide a tight parametrized convex relaxation. The resulting optimization resolution procedure is tested numerically, using realistic data, and benchmarked against the traditional global resolution approach, showing that the proposed methodology yields near-optimal solutions in lower computational time.

Note to Practitioners:

The paper is motivated by the need for efficient algorithmic procedures which can yield near-optimal solutions to the PV arrays layout problem. Due to the strong non-convexity of even simple instances, the existing methods heavily rely on global or stochastic solvers, which are computationally demanding, both in terms of resources and run-time. Our approach acts as a baseline, from which practitioners can derive more elaborate instances, by suitably modifying both the objective function and/or the constraints. In fact, we focus on the minimum set of necessary geometrical (e.g., arrays position model), astronomical (e.g., irradiance variation), and operational (e.g., power requirements) constraints which make the overall problem hard. The Appendices provide a guideline for suitably choosing the optimization parameters. All data and simulation code are available on a public repository.

This preprint has been accepted for publication in IEEE Transactions on Automation Science and Engineering.

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. 
An Innovative Toolbox for the Optimal Design and Operation of Integrated Local Energy Communities
Authors: Di Somma Marialaura , Papadimitriou Christina , Morch Andrei , Sæle Hanne , Richardson Peter , Coccia Alessio , Buonanno Amedeo
Published: October 2023

By providing important benefits such as reducing primary energy consumption, improving environmental conditions, and increasing resilience of energy supply, integrated local energy communities (ILECs) represent a viable option to centralized energy systems for fostering decarbonization, thanks to the exploitation of synergies coming from different energy carries beyond electricity and the active involvement of end-users through a collegial approach. To achieve these benefits, the optimisation of ILECs design and operation is as crucial as it is challenging. This paper presents the results from an activity of the eNeuron H2020 project (Nov 2020-Oct. 2024, ID: 957779), and aims to present an innovative toolbox for the optimal design and operation of ILECs integrating multiple energy carriers at different scales and considering different time horizons from long-term system planning to real-time operation. To achieve the short- and long-term sustainability of this new energy paradigm, a multi-objective economic-environmental approach is proposed, whereby a peer-to-peer market is established to promote end-users’ active involvement while guaranteeing that they are aligned with the overall ILEC’s objectives.

This paper is a preprint of a paper submitted to and accepted at conference CIRED2023 and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library. DOI:.1049/icp.2023.0460 
Digital Tables Partitioning in SAP HANA 4: A Novel Method For Handling Huge Data Sets
Authors: Azmeera Rajesh , Khanna Rhea , nanuruyagamurthy Deepak
Published: October 2023

SAP HANA 4 has a time-tested and proven solution for dealing with large tables using SAP HANA, an in-memory RDBMS that is 10-1000 X faster than traditional database systems like Oracle for most data processing operations. 

The speed of data processing of large data sets by the CPU depends on how the data is distributed among the tables and how the tables are managed and where they are stored. 

Regardless of the RDBMS that's being used for processing data in tables, storing huge data in a single table will result in reduced processing speed and increased processing time, making an expensive statement while reporting. 
Workflow-based architecture for optimal planning of integrated local multi-energy systems
Authors: Askeland Magnus , Morch Andrei , Papadimitriou Christina , Di Somma Marialaura , Coccia Alessio , Pinel Dimitri , Richardson Peter , Sforza Gianluca
Published: October 2023

Integrated local multi-energy systems are recognized as a promising option to achieve the ambitious energy and climate goals set by the European Commission for 2030. The nature of integrated systems requires a sound combination of interdisciplinary methodologies and complementary tools. Creating an efficient architecture capable of exploiting synergies between tools is therefore crucial for designing, analysing and operating integrated energy systems. The joint application of different tools needed for analysing a local system can be very demanding and time-consuming due to vastly different data structures and functionalities. To address the need for complementary tools, the aim of this paper is to establish and test an integrated modelling architecture allowing the interaction of tools into a modular toolbox for the optimal planning of integrated local multi-energy systems, and also present key preliminary outcomes.
Querying Twice to Achieve Information-Theoretic Verifiability in Private Information Retrieval
Authors: Kruglik Stanislav , Dau Son Hoang , Kiah Han Mao , Wang Huaxiong , Zhang Liang Feng
Published: October 2023

Private Information Retrieval (PIR) protocols allow a client to retrieve any file of interest while keeping the files’ identities hidden from the database servers. While most existing PIR protocols assume servers to be honest but curious, we investigate the scenario of dishonest servers that provide incorrect answers to mislead clients into obtaining wrong results. We propose a unified framework for polynomial PIR protocols encompassing various existing protocols that optimize the download rate or total communication cost. We introduce a way to transform a polynomial PIR to a verifiable one without increasing the number of involved servers by doubling the queries. The security guarantees can be information-theoretic or computational, and the verification keys can be public or private. Moreover, in one of our protocols, the ratio between the additional download overhead associated with verification and the normal download cost approaches zero as the file size goes to infinity.
Matching Mechanism Designs for Shared Mobility: A Review of the Literature
Authors: Hou Shixuan , Gao Jie , Wang Chun
Published: October 2023

Shared mobility is an emerging urban logistics solution that aims to enhance transportation efficiency by leveraging underutilized transportation resources owned by individuals. In contrast to traditional urban logistics, the transportation resources are derived from self-employed individuals rather than company employees, rendering the design of appropriate matching mechanisms a pressing issue to be addressed. From this perspective, we have conducted a comprehensive review of the relevant literature and classified the literature based on information acquisition completeness. Our findings reveal that current research lacks analysis of the supply-side behavior, consideration of specific constraints in the shared mobility context, and performance evaluation of matching mechanisms in dynamic environments.
Advancing Eye Care: Cataract Classification through Deep Learning
Authors: Francisco Santos Dheiver
Published: October 2023

Cataracts, a leading cause of visual impairment and blindness worldwide, necessitate early detection and accurate classification for timely intervention. This study presents a deep learning-based approach to cataract classification, demonstrating remarkable performance. The model achieved a final training accuracy of approximately 90.88% and a final validation accuracy of 91.49%.  
Self-Adaptive Spherical Search with Constrained Multi-Operator Differential Evolution (SASS-CMODE) for nonlinear programming problems
Authors: Lee Jongmin , Mendoza Renier , Mendoza Victoria May P. , Jung Eunok
Published: October 2023

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

Metaheuristic algorithms for constrained optimiza- tion problems have become popular because of their ease of use and capability to obtain global solutions. However, these population-based algorithms can be computationally expensive and may suffer from low accuracy due to the difficulty in obtaining feasible points. We present a novel algorithm, re- ferred to as SASS-CMODE, by integrating a modified Improved Multi-Operator Differential Evolution (IMODE) algorithm with the Self-Adaptive Spherical Search (SASS) method. IMODE is modified to make it suitable for solving constrained problems, leading to a new algorithm termed Constrained Multi-Operator Differential Evolution (CMODE). SASS-CMODE is capable of achieving solutions with high feasibility rate and high accuracy by utilizing SASS to identify good feasible points and CMODE to achieve accurate solutions with fewer function evaluations. To evaluate its performance, we test SASS-CMODE to 57 engi- neering problems. The results demonstrate its superiority over other state-of-the-art optimization algorithms. SASS-CMODE is also employed to solve a constrained optimization problem on identifying optimal levels of non-pharmaceutical interventions to control an epidemic, showcasing its versatility and applicability in real-world scenarios.
Location-Independent Intelligent Interface Customized to the Aid and Response of the Differently Abled
Authors: Das Arghya Kusum , Chakraborty Swapnanil
Published: October 2023

Today, the most feasible and easy form of Human-Computer Interaction (HCI) is the use of mobile applications. Mobile applications have become an integral part of our day-to-day lives reaching out to each corner of society and caters to the problems. The applications available are customized, but the incorporation of intelligence especially for the disabled to assist their lives is absent. This motivates the research work specified in this paper is non-commercial application development for society. Designing applications that are highly scalable and intelligent to minimize problems faced by differently-abled , is explicitly covered here. The proposed system makes use of Speech-To-Text and Text-To-Speech conversion techniques for back end and provides enhanced scalability by allowing users to regulate the functionality of the application, customized based on their preferred region, topic and time stamps. Applications and devices meant for the differently-abled do exist, however, most of them have unidirectional and singular functionality with minimum customizability. In most cases, very complicated hardware systems are associated with the proposed work which in turn makes it expensive to maintain. The proposed application aims to offer voice-based functionality automation, remote health monitoring, and pattern recognition for recommendation systems, explicitly for the visually impaired and the solitary elderly The reading of remote health monitoring is close to the actual value with a standard deviation of 1.45% or 0.76 on the average. 
Understanding Real-time Payment Dynamics in Australia
Authors: Pillai Babu
Published: October 2023

While digital payments have transformed e-commerce, they are not without drawbacks. The most noticeable issues arise from extended payment settlement times and the costs incurred from card fees, largely due to reliance on credit card payment networks.

To address these shortfalls, real-time payments have been introduced by various central banks. Although real-time payment systems have been available for some time and present numerous advantages, their adoption in Australia is still limited. This paper provides an in-depth overview of Australia’s real-time payment network architecture, the New Payment Platform (NPP), including details of its service products and presents several use cases. While the aim is to inspire further innovations in the payment system utilising the NPP platform, the paper also examines the reasons for the limited adoption of real-time payments despite their clear advantages over traditional digital payment methods.
Improving biomarker selection for cancer subtype classification through multi-objective optimization
Authors: Cattelani Luca , Ghosh Arindam , Rintala Teemu , Fortino Vittorio
Published: October 2023

The current ML-driven approaches for omics-driven biomarker discovery often result in panels that are not reproducible in external validation datasets, and their optimization in terms of feature set size remains unsolved, which jeopardizes their translation into cost-effective clinical tools. The present study investigates how to optimize the feature set size by testing six algorithms on eight large-scale transcriptomics datasets for breast, lung, renal, and ovarian cancer. Most importantly, we propose a new evaluation metric called Cross Hypervolume (CHV) to assess the performance of multi-objective feature selection algorithms on both training and test datasets. CHV is an improvement over other metrics as it considers the trade-off between classification accuracy and the size of the selected features. The CHV metric allows for better assessment of biomarker models and helps to select the most accurate and biologically relevant ones. 
Fairness in Medical Image Analysis and Healthcare: A Literature Survey
Authors: Xu Zikang , Li Jun , Yao Qingsong , Li Han , Zhou S. Kevin
Published: October 2023

Machine learning-enabled medical imaging analysis has become a vital part of the automatic diagnosis system. However, machine learning, especially deep learning models have been shown to demonstrate a systematic bias towards certain subgroups of people. For instance, they yield a preferential predictive performance to males over females, which is unfair and potentially harmful especially in healthcare scenarios. In this literature survey, we give a comprehensive review of the current progress of fairness studies in medical image analysis (MedIA) and healthcare. Specifically, we first discuss the definitions of fairness, the source of unfairness and potential solutions. Then, we discuss current research on fairness for MedIA categorized by fairness evaluation and unfairness mitigation. Furthermore, we conduct extensive experiments to evaluate the fairness of different medical imaging tasks. Finally, we discuss the challenges and future directions in developing fair MedIA and healthcare applications.
Sub-THz X-Haul Architecture with Ultra Capacity Wireless Distribution and Transport
Authors: Paoloni Claudio , Krozer Viktor , Magne François , Ramirez Antonio
Published: October 2023

X-haul is a key evolution in novel 5G and 6G RAN architectures to transform the traditional backhaul-fronthaul scheme in a more complex nodes structure, introducing midhaul links, to satisfy the growing demand of traffic and quality of service. As an alternative to fiber based deployment, wireless ultra capacity, tens or hundreds of gigabits per second (Gb/s), for flexible and low latency architectures can only be supported by the wide unexploited frequency bands in the sub-THz spectrum (70 - 300 GHz). In particular, the development of new radio technology at D-band (110 - 174.5 GHz) and G-band (190 - 310 GHz) enables ultra capacity links for backhaul, midhaul and fronthaul with tens of Gb/s throughput.

A novel sub-THz X-haul architecture will be described focusing on features such as capacity, adaptive distribution, low latency, efficiency and flexibility, relevant for enabling the three main classes of applications defined in 5G, Extreme Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC) and Massive Machine Type Communication (mMTC). This new network concept will be one of the enabling elements of the future 6G, leading to unifying the satellite and terrestrial networks.
Information and Practice Regarding Complementary Feeding Among Primiparous and Multiparous Mothers in Qaladiza City / Iraq
Authors: Mahmood Mahmood , Sleman Awaz Kawa , Abdullah Gashbin Rasull , Wsw Kaiwan Abdalla
Published: October 2023

Background: Adequate nutrition during infancy and early child hood and mother’s information and practice regarding complementary feeding are fundamentals for attaining child’s growth and development and optimum health. Complementary feeding is an additional food or drink containing nutrients, given to infants or children aged 6-23 months to meet nutritional needs other than breastmilk.

Objectives: This study aimed to assess and compare information and practice regarding complementary feeding among primiparous and multiparous mothers

Method: Cross-sectional descriptive study was carried out among 100 mothers of child age 6-23 months in Qaladiza city in 2019. A questionnaire format was prepared to obtain necessary information with face to face technique. Data were entered and analyzed with the help of SPSS version 26.

Result: Among all of the mothers, 57% of them were multiparous. The highest age group was 26-30 by 39%. Additionally, the highest percentage of mothers 36% were at the highest education level (graduated). There were no significant association between sociodemographic characteristics with mother’s level of information and practice. Overall, 50% and 45% of the mothers were at moderate and high level of information respectively, whereas 62% and 10% of them were at moderate and high level of practice regarding complementary feeding correspondingly. Compared to 36.8% of multiparous mothers, 55.8% of primiparous mothers were at high level of information. Regarding complementary feeding practice only 2.3% of primiparous mothers were at high level compared to 15.8% of multiparous mothers. There were no statistical significant differences between them.

Conclusion: In this study, it was attained that there was an acceptable level of information and low level of practice regarding complementary feeding among participated mothers. In addition to that, primiparous mother’s level of information was higher with a lower level of practice compared to multiparous mothers.
Leveraging STEM Education Beyond the Classroom to Combat Banditry in Zamfara State, Nigeria
Authors: Isma’il Akilu , Abdullahi Hauwa’u Abubakar
Published: October 2023

This paper explored the potential of STEM education in combating banditry and promoting development in Zamfara State, Nigeria. Zamfara State had long been plagued by the complex challenges of banditry, severely hampering its social fabric and economic progress. Through an analysis of the banditry and socioeconomic development in the state, and the limitations of traditional approaches to combating banditry, the paper argued that innovative approaches were needed. Leveraging STEM education can play a critical role in building resilience and empowering communities by equipping individuals with the skills and knowledge needed to address local challenges, such as banditry. Drawing on successful STEM programmes from around the world, the paper also outlined key strategies for implementing effective STEM education beyond classroom in banditry affected areas in the state. The paper suggested that implementing STEM education beyond the classroom will develop critical skills for innovation among teeming youths in Zamfara State, thereby making them well engaged and productive, hence discouraging them from getting involved in any form of banditry related activities.
Joint Mobilization and its Resultant Effects
Authors: Nweke Chinonso Vincent , Augustine Nweke Chidera , Madume Madume , Kenneth Anelechi , Paul John Nwolim , Ohanenye Chioma Akunnaya
Published: October 2023

Joint mobilization also called joint manipulation technique commonly used in a clinical setting to improve the range of movement of a joint in order to prevent stiffness and pain. Any joint which presents with pain or stiffness can be treated with mobilization except in rare instances such as where there is malignancy, bone infection, spinal cord compression or unhealed fracture. There are different grades of mobilization used to treat various conditions. Where there is significant local pain and inflammation, gentle mobilization is used (Grade 1 or 2) to help with pain relief and reduce inflammation by promoting movement. In conditions where there is not much pain but rather the main problem is joint stiffness, then a more vigorous mobilizing technique (Grade 3 or 4) can be used to help restore full range of movement. The manipulation can be considered as an advanced way of joint mobilization, because it shares the same biomechanical principles. So, in OMT, the manipulation consists on a linear translatoric movement (traction or gliding) performed in the joint’s resting position, through a high velocity, low amplitude and low force thrust. These linear translatoric thrust techniques are technically more difficult to perform, but equally effective and much safer than the rotatory thrusts that have been traditionally performed. The manipulations are performed with the aim of obtaining joint surface separation and restoring the gliding component in joints that, even if they show an appropriate end-feel, they are hypomobile when examining them. It is a very effective technique if it is performed correctly and if it is indicated, but in the opposite cases it also carries serious injury risk. Because of the risk it can carry, and because of the expertise grade it requires for its execution, the manipulation training, mainly in the spine, for those physical therapists who have demonstrated their experience in the joint mobilization. However, basic low risk and equally ...
Environmental Thought of Other Philosopher vs. Tagore’s thought
Authors: Garai Amit
Published: October 2023

Environmental philosophy aims to prompt an effective human response to connected problems by understanding the unquestioned beliefs and presumptions. Tagore's environmental philosophy differs from other philosophers by promoting a holistic view of the environment. Tagore's environmental thought recognizes the intrinsic value of all living beings and emphasizes a spiritual and conscious transformation in humans' relationship with nature. Ambedkar's ideas are crucial to the dominant discourse, which is characterized by a concern for transforming the natural world to address social issues generated. The focus of this paper is on the impact of Gandhi's, Ambedkar's, and Tagore's environmental thoughts on Indian environmentalism.
Unusual Presentation of Rhabdomyolysis & Acute Kidney Injury in a Young Patient with Associated Pancreatitis of Un-Known Etiology
Authors: Thekiya Arif Noormohammed , Eid Ahmed Salah , Mohamed Aalya , Sabbah Magdoleen Ibrahim A. , Aziz Ali , Flayyih Waleed H. , Mohamed Sameh , Ahmed Rehan , Ahmed Alaa Bbiker M.
Published: October 2023

A case of 41-year-old patient presented with left lower leg cellulitis, laboratory investigations showed elevated CK levels of more than 193000 U/L, high pancreatic enzymes level namely amylase & lipase, significant electrolyte and acid base abnormalities. Diagnosis of Rhabdomyolysis made based on CK level results in acute pancreatitis. This patient developed acute renal failure with all above in mind, he stayed inpatient for 19 days. The purpose of this case report is to highlight the unusually high CK with unusual association of acute pancreatitis leading to rhabdo¬myolysis and the associated morbidity.
Giant Sialoloth -A Rare Case Report
Authors: Pabba Kankshini , Meruva Swetha , Kyasanoor Shiva Prasad , Reddy Shishira Surapu , Mekala Mounika Reddy , L Avinash Tejasvi M.
Published: October 2023

Sialolithiasis is the most common disease of salivary glands. Its estimated frequency is 1.2% in the adult population. Sialoliths most commonly occur in the submandibular glands. A history of pain or/and swelling in the salivary glands, especially during meal suggests this diagnosis. For small and accessible stones conservative therapies like milking of ducts with palliative therapy can produce satisfactory results. Surgical management should be considered when the stone/stones are inaccessible or large in size as conservative therapies turned out to be unsatisfactory. In this paper, we present a case of 55-year-old male patient resenting painful swelling and a giant submandibular gland sialolith. The sialolith usually measures from 1 to <10 mm. Giant Sialoliths are classified as those exceeding 15 mm in any one dimension. This case report describes a patient presenting with an unusually large sialolith (megalith), which was in size 2.5 x 3cm, the subsequent patient management, etiology, diagnosis, and treatment.
Implementasi Sekolah Ramah Anak terhadap Karakter Peduli Sosial pada Siswa Kelas Rendah di MI Ma'arif Pijenan
Authors: Ekawati Yuni , Heru Purnomo
Published: October 2023

Penelitian ini memiliki tujuan guna memahami bagaimana pelaksanaan dari SRA terhadap karakter peduli sosial pada peserta didik kelas rendah di MI Ma’arif Pijenan. Pendekatan penelitian yang diterapkan pada penelitian kali ini yaitu pendekatan kualitatif dan untuk teknik pengaplikasiannya menggunakan metode deskriptif. Peneliti melakukan observasi, wawancara serta dokumentasi dengan subjek penelitiannya yaitu pimpinan sekolah, wali kelas yaitu guru kelas III, dan siswa yang berada di MI Ma’arif Pijenan. Analisis data disini peneliti menggunakan reduksi, contoh, serta verifikasi data. Pada teknik keabsahan data menggunakan triangulasi sumber, bahan referensi serta pemeriksaan kembali. Hasil dari penelitian ini menyatakan implementasi SRA terhadap watak peduli sosial pada siswa kelas rendah di MI Ma’arif Pijenan dilaksanakan melalui; (1) kebijakan peningkatan diri yang berupa aktivitas teratur seperti melaksanakan infaq secara teratur pada setiap hari Jum’at, tenaga pendidik yang memberikan contoh acuan positif secara langsung. Selain itu, guru juga melaksanakan kegiatan kontan dengan cara memberikan peringatan secara langsung kepada siswa serta pada saat pembelajaran dilaksanakan dengan pemasangan poster yang terkait pada peduli sosial dan tenaga kependidikan melakukan pengkondisian dengan cara bekerja sama dengan siswa yang lainnya untuk ikut serta dalam membantu siswa yang lain; (2) Adapun untuk bidang keahlian dilaksanakan oleh tenaga pendidik dengan cara menghubungkan nilai watak peduli sosial ke dalam pokok bahasan Ilmu Pengetahuan Sosial, PKn serta B. Indonesia; serta (3) adat istiadat sekolah yang dilakukan melalui cara menyediakan dan memfasilitasi seluruh aktivitas sekolah yang sudah sesuai dengan petunjuk dari watak peduli sosial dan pedoman SRA.
Pengelompokkan Kecamatan di Kabupaten Bima Berdasarkan Jumlah Produksi dan Luas Panen Bawang Merah Tahun 2021 Menggunakan K-Means Clustering
Authors: Maulana Ashabul Akbar , Rafii Athallah Widyatama , Anjelina Yulia Anggi , Widodo Edy
Published: October 2023

Bawang merah adalah komoditas pertanian signifikan di Indonesia dengan potensi ekonomi yang menjanjikan. Kabupaten Bima mendominasi produksi bawang merah di Indonesia. Secara geografis, Kabupaten Bima berada pada kisaran ketinggian 0 hingga 477.5 mdpl dengan mayoritas wilayahnya memiliki iklim panas dan kering, menciptakan kondisi yang ideal untuk budidaya bawang merah. Penelitian ini bertujuan menggambarkan serta menganalisis Cluster hasil produksi bawang merah di Kabupaten Bima tahun 2021 menggunakan metode Clustering K-Means. K-Means Clustering merupakan analisis klaster non-hierarkis yang membagi data ke dalam kelompok berdasarkan karakteristik tertentu. Hasil analisis menunjukkan bahwa Kecamatan Lambu mencatat produksi dan luas panen bawang merah tertinggi di Kabupaten Bima, sementara Kecamatan Langgudu dan Donggo tidak menghasilkan bawang merah. Analisis klaster menghasilkan tiga kelompok dengan karakteristik yang berbeda, di mana Cluster 1 memiliki kategori produksi rendah, Cluster 2 memiliki kategori produksi tinggi, dan Cluster 3 memiliki kategori produksi sedang.
Analisis Faktor-Faktor Yang Mempengaruhi Anemia Pada Ibu Hamil Menggunakan CART
Authors: Nurani Atika , Fadilah Naulia , Yulianto Safa'at
Published: October 2023

Anemia selama kehamilan berdampak buruk bagi kesehatan ibu dan bayinya dan merupakan penyebab penting yang melatarbelakangi kejadian morbiditas dan mortalitas. Cikedal merupakan salah satu kecamatan yang ada di Kabupaten Pandeglang Provinsi Banten dimana angka KEK atau Kekurangan Energi Kronik pada ibu hamil terus meningkat dari tahun ke tahun. Metode yang digunakan untuk meneliti ini adalah metode CART. Dengan perolehan sampel menggunakan metode Cluster Random Sampling dan penentuan jumlah sampel dengan metode slovin, hingga diperoleh 106 responden yang mewaikili setiap desa yang ada di Kecamatan Cikedal. Berdasarkan analisis dan pembahasan, didapatkan kesimpulan bahwa variabel-variabel yang mempengaruhi anemia pada ibu hamil meliputi variabel (X1) usia ibu ketika mengandung atau hamil, (X2)  usia kehamilan, (X3) paritas, (X4)  jarak kehamilan antar anak, (X6) status KEK, (X7)  pendidikan ibu hamil, (X8)  pemahaman ibu hamil, dan variabel (X9) kondisi ibu sebelum mengandung atau pra kehamilan dengan ketepatan prediksi hasil klasifikasi sebesar 90,57%.
Analysis of Nature-Based-Learning for Children with Autism Spectrum Disorder in Elementary School Age: A Systematic Review
Authors: Shabrina Salsabila  , Muna Zakiyatul Fikriyah Laila
Published: October 2023

The education system in the world is continually evolving. Nature-Based Learning (NBL) is an innovative learning model in the field of education that can be applied to children with special needs, particularly those with Autism Spectrum Disorder (ASD). Children with ASD in elementary school age often experience difficulties in communication and socialization, necessitating appropriate interventions, one of which is the implementation of NBL as a learning model. This study is a qualitative research that utilizes literature review as the data collection method, analyzed using the Miles and Hubberman technique. The findings of this research reveal the significance of NBL in the elementary school age, where it creates a calm and non-threatening learning environment, facilitates collaboration, communication, and teamwork through group activities in nature. The impact of NBL on the psychological development of children with autism is highlighted, encompassing sensory regulation, reduced stress, improved focus, enhanced social skills, cognitive development, and a positive relationship with the environment.
PENGARUH BENZYL AMINO PURIN (BAP) TERHADAP INDUKSI TUNASEKSPLAN TANGKAI DAUN (Petiolus) DAN TULANG DAUN (Penninervis) DUKU (Lansium domesticum Corr) PADA MEDIA MURASHIGE AND SKOOG
Authors: YACHYA ARIF , Amin Nurokhman  , Novitasari Linda , Hiras Habisukan Ummi
Published: October 2023

Buah duku (Lansium domesticum. Corr)  menjadi salah satu tanaman buah yang banyak tumbuh di Indonesia, khususnya di Sumatera Selatan. Buah duku memiliki tingkat konsumsi cukup tinggi namun lama dalam proses perbanyakaannya. Perbanyakan duku secara modern menjadi salah satu upaya yang dapat digunakan dalam mengatasi masalah yang terjadi dalam pembudidayaan buah duku secara konvensional. Salah satu upaya perbanyakan duku secara modern dapat dilakukan melalui teknik kultur jaringan. Teknik kultur jaringan dapat memproduksi tanaman dalam jumlah banyak dan memiliki sifat dan karakter  yang sama seperti induknya. Penelitian ini dilakukan mulai dari September 2022 – November 2022, Bertempat di ruang kultur jaringan (Tissue Culture), Laboratorium Terpadu Universitas Islam Negeri Raden Fatah Palembang. Jenis penelitian ini yaitu deskriptif kuantitatif dengan metode eksperimen dengan menggunakan Rancangan Acak Lengkap (RAL) dengan 5 perlakuan (0,0 ppm, 1,0 ppm, 1,5 ppm, 2,0 ppm dan 2,5 ppm) serta 5 pengulangan. Penelitian ini untuk mengetahui respon eksplan tangkai daun dan tulang daun terhadap induksi tunas pada pemberian hormon BAP. Hasil penelitian paling baik pada pemberian konsentrasi 1,0 ppm BAP dengan waktu kecepatan tumbuh pada 7 HST dengan terbentuknya tonjolan (nodul) pada permukaan atas eksplan.
Pengembangan Media Lumpur Lapindo Sebagai Bahan Tambah Pembuatan Keramik
Authors: Sampurno Ridho , Jangkit Pamuncak Ilham , Eka Saputra Nova , Budi Pramana Yanatra , Budipramana Krisyanti
Published: October 2023

Industry Keramik sanitary seperti closet, wastafel, cangkir, mangkok mengalami peningkatan akan kebutuhannya setiap tahunnya.  Dalam pembuatan keramik dibutuhkan beberapa bahan antara lain feldspar, silica, clay, talk dan melalui proses yang berurutan antara lain: milling/ penggilingan, casting (pengecoran), pengeringan, dry body inspection/ pengecekan kekeringan, glazing/pewarnaan  dan kalsinasi. Pada lumpur lapindo terdapat kandungan silica yang dapat di manfaatkan untuk pembuatan keramik. Untuk mendapatkan hasil silika yang murni pada lumpur lapindo maka perlu melakukan proses sol gel, pada percobaan didapatkan silika murni sebesar 75,4 %
Optimizing Company Performance Through Industrial Coordinator Training : A Practical Needs Assessment
Authors: Putri Putri Nia Luki Patmasari , Jumali Muhamad Abdul , Rusdiyantoro Rusdiyantoro
Published: October 2023

The study of performance is incredibly fascinating. One of them is the way in which mid-level management functions as both a conduit for information to top management and the person in control of subordinates. This study aims to enhance the coordinator of the industrial department's performance. This study's data processing and analysis procedure employs a qualitative approach by carrying out an analysis using the TNA (Training Need Analysis) method. At electromotor engine repair service firms in East Java, this method is used to assess the variables that contribute to delays in the completion of repairs of goods as well as the kind of training provided to coordinators to prevent delays in the completion of repairs of goods. The outcomes show in the study, it was discovered that the absence of effective communication between division coordinators in the industrial department, skill gaps, and workers who are not suited for the job are the main causes of delays in the completion of goods. Because the percentage is still low for corporate performance and still less productive, the performance value in each division, such as industrial repair, is 6.1%, vacuum pump 6.6%, blower 6.2%, fabrication 7.4 and rewinding 7.5% to complete the items.
Implementation of Material Requirement Planning (MRP) in Controlling Raw Materials for Shoes Products at PT.XYZ
Authors: Sukma Adhiyasa Chandra , Febryanto Indra Dwi , . Prihono , Pramana Yanatra Budi
Published: October 2023

PT. XYZ is an industry in East Java that produces products made from animal skins as raw materials. The product produced by this industry is loafers. So far, this industry has had problems with leather raw materials which often experience excess supply requiring high investment, although at certain times they also experience shortages which result in not fulfilling consumer demand. MRP is a system specifically designed to ensure the availability of materials, items or components when needed to meet production schedules and ensure the availability of finished products for consumers in situations of surging demand. MRP can answer exactly what material, how much, and when (what, how much and when) is needed so that the production process can run according to schedule. The results of this study indicate that the Material Requirement Planning (MRP) method has a total raw material inventory control cost of Rp. 189,646,600 and by using the company's method, the raw material control value is Rp. 323,325,500 Savings in raw material control costs that can be obtained by applying the MRP method are Rp. 17,416,700 or about 0.94%.