bluuebunny/crossref_metadata_2025 huggingface dataset:
Total Hip Arthroplasty for Acetabular Protrusion in a Patient with Active Tuberculosis Infection: A Case Report
Authors: Zandi Reza , Talebi Shahin , Sheibani Shirin , Ghadiri Abolfazl
Published: February 2024

Background: After the spine, the hip is the most common site that can be infected with extrapulmonary tuberculosis (TB). In the early stages, patients present with complaints of pain around the hip, and after a while, they might experience deformities, shortening, and limited movements. Because hip TB mimics the symptoms of other hip diseases like rheumatoid arthritis (RA) and osteoarthritis, diagnosis is difficult. Here, we aimed to report a rare case of hip TB secondary to pulmonary TB and the result of the total hip arthroplasty (THA).
Case Report: A 41-year-old man presented to the orthopedic clinic with a complaint of progressive pain in the right hip. After laboratory tests, imaging, and sputum culture, active TB infection and advanced arthritis of the hip joint were detected. A subluxation/ dislocation stage of arthritis and an acetabular protrusion were present, leading to the restriction of movements. After receiving medical therapy, we performed THA for the patient
Conclusion: The patient’s right hip reached a normal range of motion (ROM) without pain in the 18-month follow-up. Since TB can mimic the symptoms of many common diseases, considering hip TB along with other diagnoses can aid in reducing possible complications and improving patients' lives.
Avulsion Fracture of the Tibial Tuberosity in Adolescents: A Rare Case and Surgical Fixation Technique
Authors: Omrani Farzad Amouzadeh , Ghamsari Kourosh Kharkan , Baroutkoub Mojtaba , Afzal Sina , Kokly Saeed
Published: February 2024

Background: Only 3% of all proximal tibial fractures result in an avulsion fracture of the tibial tuberosity. It is often seen in youngsters between the ages of 3 and 6 and is less frequent after puberty.
Case Report: A 15-year-old boy was presented with severe left knee pain following a high jump. X-ray and computed tomography (CT) scan showed a tibial tuberosity fracture with joint surface involvement. The damaged part was fixed with a 4.5mm cannulated screw and washer, reinforced with 2 SwiveLock anchors. In the sixth week, full weight bearing and full range of motion (ROM) were obtained.
Conclusion: The primary objective in managing tibial tubercle fractures is the restoration of both the extensor mechanism and the integrity of the joint surface in cases where they have been compromised.
Pubic Tubercle Osteochondroma
Authors: Kothimbakkam Prem Kumar , Kumar Arun Chandru , Ganesh Anantharamakrishnan , Murugesan Vijayashankar
Published: February 2024

Background: The commonest benign bone tumors, osteochondromas, which can be solitary or multiple involving the metaphyseal region of long bones, rarely present in the axial skeleton, such as pelvic girdle, which warrants surgical excision in case of symptoms arising out of pressure effects.
Case Report: In this study, we are herewith reporting an unusual case of pubic tubercle osteochondroma, which is solitary and pedunculated in a 37-year-old woman. She has had the swelling for the past 15 years, which was asymptomatic except for mild hydroureteronephrosis, which was an incidental diagnosis; however, we managed the patient with surgical excision of the tumor with elaborate preoperative radiological imaging using both X-ray and computed tomography (CT) scan. Histopathological examination confirmed the diagnosis of osteochondroma.
Conclusion: Asymptomatic pelvic osteochondroma should be considered in patients with incidental swelling in the groin region, especially women who may be reluctant to seek medical attention due to social stigma.
Modeling the Interaction between the Isoniazid Anti-Tuberculosis Drug and Functionalized Carbon Nanotubes for Medical Applications: A Quantum Chemical Study
Authors: Moradi Mohadese , Hamedani Shahla
Published: February 2024

Introduction: The purpose of using nano-carriers for drugs delivery, such as nanotubes, was slow release of drug and reducing side effects of drugs. Drugs are very active due to their many functional groups. Therefore, reactivity of drug is reduced by being in nanotube field due to electronic resonance of drug with nanotube and it stays longer in body. The present study aimed to investigate the interaction of isoniazid with functionalized single-walled carbon nanotubes.
Methods: In the present theoretical study, considering the importance of isoniazid as the first line of treatment for tuberculosis disease, the performance of carbon nanostructures for adsorption of isoniazid was evaluated using quantum computation. Using density functional theory at theoretical level of B3LYP/6-31G** structure of drug and f-SWCNT and nano-drug complexes were optimized.
Results: Effect of adsorption on the electronic properties and stability of the nanotube was also examined. In this regard, for different configurations, the strength and nature of intermolecular interactions were evaluated by energy parameters and molecular orbitals. Based on the obtained results, a specific configuration displayed the most negative adsorption energy and enthalpy, establishing itself as the most stable structure among the various configurations.
Conclusion: Results showed that the electron density of the HOMO (Highest Occupied Molecular Orbital) was localized on the nanotube, while the electron density of the LUMO (Lowest Unoccupied Molecular Orbital) was situated on the drug molecule. The energy gap between two molecular orbitals increased due to the adsorption process; changes lead to an increase in the electrical conductivity of the complex following adsorption. According to the natural bond orbitals, results, the isoniazid molecule and functionalized single-walled carbon nanotube act as both electron donor and acceptor in the complex. Analysis of the results obtained from quantum theory of atoms in molecules, showed the intermolecular interaction between the drug and the functional group of the nanotube has been established, the most important of which is the hydrogen bond. Finally, the findings showed that functionalized SWCNTs can be acted as a drug carrier for isoniazid anti-tuberculosis drug.
Impact of Service Innovation and its Quality on Patients' Satisfaction and Loyalty during the Covid-19 Pandemic
Authors: Golzarfar HamidReza , Shirsalimian Faeze , Norani-Azad Samaneh
Published: February 2024

Introduction: In today's societies, the health sector is growing rapidly, and hospitals, as institutions that provide health and survival of the society and provide health services, have experienced many changes over time.  People have understood that health is a valuable service for their lives, especially when the spread of new diseases threatens the life and health of society. Therefore, the main goal of this research was to investigate the relationship between innovation and service quality on customer satisfaction and loyalty during the Covid-19 pandemic.
Methods: The present research has focused on the impact of service innovation and its quality on patients' satisfaction and loyalty during the Covid-19 pandemic in Yazd Shahid Sadoughi Hospital. The statistical population of the present study was the patients admitted to Shahid Sadoughi Hospital in Yazd, Iran. Because the size of the population was uncertain, Cochran's formula was used to calculate the number of samples, which resulted in 384 people. SPSS and Smart PLS3 software were also used for data analysis.
Results: Among the patients with corona virus, service innovation had a positive and significant effect on the patient satisfaction and 0.11 (p<0.05) on loyalty, respectively. Likewise, service quality has affected the satisfaction and loyalty of the patients by 0.77 and 0.45 with (P<0.05); the effect of the patient satisfaction on loyalty was positive and significant at the rate of 0.41 (P<0.05).
Conclusion: The results have shown that the relationship between service innovation and its quality had a positive and significant effect on patients' satisfaction and loyalty during the Covid-19 pandemic. The reason is that if the quality of the services provided is in accordance with the expectations of the patients, it will cause the satisfaction of the patients and will lead to their loyalty.
Designing the Empowerment Model of Patients Hospitalized in the Hospitals Affiliated to Shahid Sadoughi University of Medical Sciences, Yazd
Authors: Shoraki Safar Ali Dehghani , Hessam Somayeh , Khankahdani Roya Biabani
Published: February 2024

Introduction: Identifying factors that influence the patient experience are critical to implementing strategies that support patient engagement and ultimately achieve better health outcomes. The present study was conducted with the aim of presenting a model of empowerment of hospitalized patients.
Methods: The current research was a qualitative-quantitative study that was cross-sectional by stratified sampling method with proper allocation in hospitals affiliated to Shahid Sadoughi University of Medical Sciences, Yazd, Iran, on 230 heads, managers, matrons, supervisors, heads of clinical and paraclinical departments and hospital headquarters units, nurses and doctors were done. The data were collected using the demographic information tool and the questionnaire made by the researcher to design a model of empowering patients admitted to the hospital. Determining the ability of the designed model by fitting the data was done with the confirmatory factor analysis method. Data were analyzed by SPSS version 16 software and Amos.v 24 software.
Results: Questionnaire for designing a model of empowering patients in the hospital has 8 areas and 61 items or components. In the present study, the Chi-square ratio to the degree of freedom was significant (p<0.001), which indicated the appropriate fit of the model. The value of the GFI index was estimated at 0.93, which indicated that the model fits well. The values of GFI and AGFI for the empowerment model of hospitalized patients were higher than 0.8.
Conclusion: Organizations and medical institutions have the opportunity to utilize this model to empower patients. The universities of medical sciences and affiliated hospitals should create an enabling environment for enhancing patient empowerment.
ABAC as Access Control Solution for Digital Evidence Storage
Authors: Priyambodo Tri Kuntoro , Prayudi Yudi , Budiarto Rahmat
Published: February 2024

Digital evidence is content that must be protected against access and use by parties who should not have the authority to do so. Some protection parameters for access to digital evidence must be implemented to ensure its integrity and authenticity. Access to digital evidence is not enough to be facilitated only with authorization and authentication mechanisms but must also be facilitated with other aspects of access by users according to their level of authority. One approach is to use the concept of access control. The study of access control to digital evidence is essential. However, studies on this matter are still limited. Among the many access control models, the application of access control based on attribute variations is a concept that can be applied to the context of access to digital evidence. This paper discusses policy design and modeling using attribute-based access control (ABAC) with four attributes: subject, resource, action, and environment. Then, it implements and tests various requests to the system based on attribute variations and possible algorithms. This study supports the security of digital evidence storage systems through access control to the resources it manages using the Policy Statement, Policy Modeling, Policy Implementation, and Policy Validation approaches. The application of the access control design shows that the ABAC concept has been successfully applied as an access control solution for digital evidence stored in digital evidence storage systems. The built policy design was successfully validated using ACPT Tools, concluding that there was no inconsistency or incompleteness.
Monitoring and Controlling System of Smart Mini Greenhouse Based on Internet of Things (IoT) for Spinach Plant (Amaranthus sp.)
Authors: Putri Renny Eka , Lestari Novia Utama , Ifmalinda  , Arlius Feri , Putri Irriwat , Hasan Ashadi
Published: February 2024

Greenhouses, often composed of plastic or glass structures, play a fundamental role in optimizing the environmental conditions essential for successful plant cultivation, ultimately resulting in higher-quality crop yields. The study aims to develop a real-time monitoring and control system for a smart mini greenhouse utilizing the Internet of Things (IoT), with a specific focus on cultivating spinach. The monitoring system is constructed around an ESP32 microcontroller, complemented by a DHT22 sensor for accurate air temperature and humidity measurements, and an RTC DS3231 timer for scheduling tasks. The DHT22 sensor's set point values trigger the fan and misting system operations. The fan activates when the air temperature reaches 32°C, while the misting system turns on when humidity levels (RH) reach 55%. The ESP32 is the central processing unit, enabling internet connectivity through Wi-Fi for real-time data monitoring via the Blynk application. Sensor calibration confirms the system's precision, with regression analyses producing impressive R2 values of 0.989 and 0.952. The shading net control system operates four hours daily, from 11:00 to 15:00 WIB (Western Indonesian Time), optimizing the greenhouse environment. This well-executed system leads to the robust growth of spinach plants, reaching a height of 23.02 cm, sprouting nine leaves, and attaining a weight of 10 grams. The findings from this study highlight the efficiency and effectiveness of the smart mini greenhouse's monitoring and control system, offering promising applications in broader greenhouse management and crop cultivation practices.
The Evaluation of Production, Chlorophyll Content and Number of Flower of Samosir Local Shallots through Application of Gibberellin and Boron in the Highlands
Authors: Simamora Jupri , Hasanah Yaya , Hanafiah Diana Sofia
Published: February 2024

Shallot is a leading horticultural commodity with good seasoning and medicinal properties prospects. In increasing local Samosir shallot production, growth regulators and micronutrients are needed.  Gibberellin (GA₃) is a plant growth-stimulating hormone that can simultaneously trigger the appearance of flowers and flowering when applied as an exogenous hormone. Applying boron on shallots could increase the quality of seeds and the number of flowers. The study's objective was to evaluate the production and quality of Samosir local shallots by applying gibberellin and boron in the highlands. The research was conducted at Humbang Hasundutan, North Sumatera Province, Indonesia, from August to October 2022.  A factorial randomized block design was used with two-factor and three replications. The first factor is the application of Gibberellin (0, 100, 200, and 300 ppm), and the second is Boron (0, 3, and 6 kg/ha). The result showed that applying gibberellin until 200 ppm increased the content of chlorophyll a, chlorophyll b total chlorophyll, bulb wet weight, and number of flowers of Samosir local shallots. The application of boron until 3 kg/ha increased plant length 2-8 weeks after planting (WAP), leaf number 4-8 WAP, number of tillers 4-8 WAP, the content of chlorophyll a, chlorophyll b and total chlorophyll of Samosir local shallot. The combination treatment of 100 ppm gibberellin and boron 6 kg increased bulb wet weight and bulb dry weight of Samosir local shallots.
Student Adoption of Asynchronous Learning
Authors: Arista Artika , Indriana Intan Hesti , Yulnelly
Published: February 2024

The educational process has been reorganized due to the epidemic, requiring educators to adopt new approaches to remote and virtual learning techniques. Future educators will employ strategies based on the use of social media, the production of videos, and the usage of virtual platforms. To develop learning videos that support online learning practicum activities or distance learning in Introduction to Databases Practicum courses, this research aims to investigate student acceptance of asynchronous learning video recordings of online learning practicum of introduction to databases in the COVID-19 pandemic. This study adopted the DeLone and McLean’s Information System Success Model (DL&ML model), the Technology Acceptance Model (TAM), and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) theories as the conceptual framework for examining the student adoption of video recordings in the context Introduction to Databases Practicum course. Using SmartPLS 4 software, the data were modeled and evaluated utilizing the Partial Least Square Structural Equation Model (PLS-SEM). According to the 126-sample data, Perceived Ease of Use, Perceived Usefulness, Video Quality, and Information Quality affected behavioral intention to use Video Recordings during the Introduction to Databases Practicum when Covid-19 was a pandemic. The behavioral intention influences the use behavior of Video Recordings. It is suggested that the government create an adequate infrastructure to support online learning and help lecturers gain more knowledge and expertise in using technology, particularly when developing, implementing, and conducting evaluations of online learning.
Improving Convective Cloud Classification with Deep Learning: The CC-Unet Model
Authors: Rumapea Humuntal , Zarlis Mohammad , Efendy Syahril , Sihombing Poltak
Published: February 2024

Analyzing and mitigating natural disasters can be a challenging task, which is why the field of computer science, specifically artificial intelligence (AI) is necessary to aid in the complexity of disaster management. AI provides the tools and analytical models to help solve the intricacies of handling natural disasters. Convective clouds, closely related to rain and can lead to large-scale, prolonged hydrometeorological disasters, are a crucial component to consider. To improve the classification of these clouds, a predictive-analytical model based on deep learning, called the CC-Unet model, was developed. This model utilizes a U-Net architecture and is trained using a dataset of convective cloud images. The researchers used satellite image data from the Himawari 8 satellite collected in May and October 2021. The images were pre-processed and verified using observational data. The model was tested using a random train-test split method, showing that the CC-Unet model had a higher accuracy of 97.29% compared to the U-Net model, which had an accuracy of 94.17%. Additionally, the significance test using the Wilcoxon method showed that the CC-Unet model had significantly different performance results from the U-Net model. The ground truth image was also compared with the predicted image, showing a low root mean square error value of 0.0218, indicating a high level of similarity between the two. Overall, this research demonstrates the potential of AI and deep learning in classifying convective clouds to aid in natural disaster management.
Effectiveness of Vehicular Communication Using NP-CSMA with Bernoulli-Based Gaussian Interpolation Function
Authors: Iskandarani Mahmoud Zaki
Published: February 2024

The objective is to investigate the effectiveness of Gaussian arrival and its effect on vehicular communication compared to Bernoulli's arrival. MATLAB simulation covers three different levels of slot probability: low, medium, and high. The goal behind such simulation is to establish the importance of an adaptive function such as Gaussian interpolation resulting in smoother control of vehicular communication with better channel performance when compared to Bernoulli. This work shows that at low slot probability (Pslot), Gaussian arrival results in a much higher throughput (S) compared to Bernoulli, with a gradual reduction in throughput as Gaussian spread (γ) increases. The decrease in S as γ increases is due to the Gaussian interpolation, which performs control and results in higher channel stability. At mid probability, the simulation and analysis show a convergence between Gaussian results and Bernoulli, with differences in buffered frames (Btotal) as a function of γ. At a high Pslot value, Bernoulli produces higher S than Gaussian, with the closest Gaussian values at γ=2. However, the number of buffered frames using Bernoulli arrival is much higher than Gaussian. The exceedingly high Btotal can result in more collisions, which Gaussian arrival controls very well with a small sacrifice in throughput. The shape function for Bernoulli is shown to be different from Gaussian, except for specific values of γ, where there is a match. The obtained results show the adaptability and smoothness in which Gaussian arrival can optimize channel communication using Non-Persistent CSMA, which enables intelligent vehicular communication.
An Empirical Evaluation on the Effect Refactoring Code Smells Mobile Applications Android with ASATs on Resource Usage
Authors: Syawanodya Indira , Anggraini Dian , Al-Hijri Fajar Muhammad , Ardimansyah Mochamad Iqbal
Published: February 2024

The Application is closely connected to mobile devices designed for many people and has maintenance, but even maintenance can contain violations such as code smells that effect non-functional requirements, specifically the use of CPU and memory resources. When the software has a rapid use of resources, it gives rise to the phenomenon that the user may switch or uninstall the software. The solution to this phenomenon is to explore resource-related code smells and fix them by refactoring. Developments to explore code smells came with ASATs, namely SonarQube, which is already being used by 85,000 organizations to speed up analyzing code in software. This topic is related to code smells, and the research objective is to analyze and compare the performance of the original versions and single or cumulative refactored versions of Android mobile software using the Design Research Methodology (DRM) approach. Types of code smells are represented based on the classification on SonarQube, namely Blocker, Critical, Major, and Minor, with code smells such as HashMap Usage, Member Ignoring Method, and Slow Loop. Aspects tested include Fixed Detection Ratio (FDR), improvement, CPU, and memory usage. Based on the results of the research, it shows the depreciation of code smells which is proven to significantly increase CPU performance in a single refactoring, namely Member Ignoring Method and Critical by 7.7% and 9.90%, respectively. Moreover, single refactoring offers developers advantages reducing high costs, diminished exertion, and truncated maintenance duration. However, the cumulative refactoring occasionally endeavors hold the potential be high improvements.
Two-Stream Network for Korean Natural Language Understanding
Authors: Kim Hwang , Lee Jihyeon , Kwak Ho-Young
Published: February 2024

This study pioneers a dual-stream network architecture tailored for Korean Natural Language Understanding (NLU), focusing on enhancing comprehension by distinct processing of syntactic and semantic aspects. The hypothesis is that this bifurcation can lead to a more nuanced and accurate understanding of the Korean language, which often presents unique syntactic and semantic challenges not fully addressed by generalized models. The validation of this novel architecture employs the Korean Natural Language Inference (koNLI) and Korean Semantic Textual Similarity (koSTS) datasets. By evaluating the model's performance on these datasets, the study aims to determine its efficacy in accurately parsing and interpreting Korean text's syntactic structure and semantic meaning. Preliminary results from this research are promising. They indicate that the dual-stream approach significantly enhances the model's capability to understand and interpret complex Korean sentences. This improvement is crucial in NLU, especially for language-specific applications. The implications of this study are far-reaching. The methodology and findings could pave the way for more sophisticated NLU applications tailored to the Korean language, such as advanced sentiment analysis, nuanced text summarization, and more effective conversational AI systems. Moreover, this research contributes significantly to the broader field of NLU by underscoring the importance and efficacy of developing language-specific models, moving beyond the one-size-fits-all approach of general language models. Thus, this study is a testament to the potential of specialized approaches in language understanding technologies.
Composite of Magnesium and Carbonate Apatite for Biodegradable Bone Implants: A Comparative Study on Sintering and Extrusion Techniques
Authors: Setyadi Iwan , Suryadi  , Jujur I Nyoman , Wibisono Mirza , Damisih  , Manawan Maykel , Adhitya Krisna , Hidayat Arif , Kamal Achmad Fauzi , Rahyusalim  , Suharno Bambang , Supriadi Sugeng
Published: February 2024

Developing biodegradable bone implants using magnesium-based materials has garnered significant attention in research. Magnesium offers favorable properties, such as low density, biocompatibility, elastic modulus like bone, and high toxicity limits. However, improvements are needed in mechanical properties and degradation rate. This study focuses on enhancing these properties by developing a novel composite of magnesium with carbonate apatite (CA) reinforcement, Mg/5CA. Compared to hydroxyapatite (HA), CA offers better absorption and avoids fibrotic tissue formation. However, CA undergoes carbonate decomposition during sintering, leading to composite degradation. To address this, an extrusion process is employed to prevent carbonate decomposition. The advanced sintering and extrusion compaction processes are compared for the Mg/5CA composite, examining density, microstructure, hardness, compressive strength, and biocorrosion. Results demonstrate that extrusion increases relative density while CA slightly reduces it. Microstructural analysis reveals finer and elongated grains, tighter bonding between CA and Mg particles, and reduced microporosity in the extruded composite. Mechanical properties, including hardness distribution and compressive strength, are improved in the extruded composite, and the degradation rate decreases compared to sintering. Overall, the extrusion process effectively enhances Mg/5CA composite properties, positioning it as a promising manufacturing technique for biodegradable implant materials. This research contributes to the development of advanced biodegradable implants, which can have significant applications in the field of medical science. Further investigations in this area can contribute to the ongoing advancements in biodegradable implant technology.
The Performance Assessment of the Structural Bracing Model for Multi-Story Building
Authors: Anastasia Frida , Saputro Aldi M. E. , Goro Garup Lambang , Setiawan Dedi Budi
Published: February 2024

Earthquakes are a severe issue for construction. The building collapsed due to the earthquake because it could not bear the earthquake load. Even more so, it was constructed using outdated and different building regulations that do not comply with modern building codes that account for seismic loads. As a result, disaster mitigation methods, such as retrofitting, must be implemented. Retrofitting procedures are commonly used in many developed countries. The bracing system is a typical retrofitting method used on building structures. In this study, a retrofitting program was carried out on The State Finance Building II Semarang, which was built in the 1980s, one of the old buildings in Semarang City, using a reinforced portal structure. This study's bracing system is a Concentrically Brace Frame (CBF) with Inverted V Brace and V Brace variations. The structural analysis software ETABS V.18.2.0 analyzes the building's structure. The structural review includes story drift, the P-Delta effect, and horizontal torsion irregularities. According to the results, steel bracing can minimize the period and displacement associated with story drift, making the structure more stable, with a maximum displacement reduction of 59.66% for inverted V-type steel bracing. Aside from that, steel bracing also can minimize the occurrence of torsion in the building. As a result, steel braces can be used to strengthen the structure.
Sustainable Fishery Value Chain (SFVC): Study Case in Tilapia Industry
Authors: Marisa Julia , Syahni Rahmat , Hadiguna Rika Ampuh , Nofialdi Nofialdi
Published: February 2024

This research is built on the concept of sustainable value chains, where a framework for sustainable value chain analysis emerges that covers not only economic aspects but also includes environmental and social impacts in a collaborative model of value chain management. It explores the dimensions on which value chain sustainability should focus. It illustrates how and why it is necessary to take a broader perspective in ensuring the internal economic sustainability of the chain in line with its external socio-environmental consequences. This research aims to analyze the sustainability of the tilapia processing value chain. This research uses the Multi-Dimensional Scaling analysis method supported by Rap-fish software. The Rapfish methodology is a flexible technique that rapidly assesses fisheries status by integrating ecological and human factors according to identified norms. The results of this research show that the sustainability of the tilapia processing value chain is considered entirely sustainable from economic, social, and environmental aspects, with a sufficient sustainability index of 74.40%. The sustainability of the value chain relies on four key actors: tilapia cultivators, collectors, processors, and distributors. The sustainable tilapia processing value chain strategy in North Sumatra can limit floating net cages by considering the environmental carrying capacity and supported by suitable policies and active stakeholder participation in community-based legal institutions. This research found this is a strong sustainability concept if implemented with better governance and policy management in the tilapia industry value chain.
Unicorn Fish (Naso reticulatus Randall, 2001) Skin Collagens Prepared Using Two Pepsin Sources: An Assessment on Physicochemical Characteristics
Authors: Anak Patrick Claire Cynthia , Jaziri Abdul Aziz , Abdul Aziz Ahmad Hazim , Shapawi Rossita , Mohd Mokhtar Ruzaidi Azli , Md. Noordin Wan Norhana , Nurdiani Rahmi , Huda Nurul
Published: February 2024

Fish collagens have gained considerable attention from numerous researchers due to their attractive traits and are more acceptable from most religious beliefs. This paper aimed to extract and characterize collagens from the skins of unicorn fish (N. reticulatus) influenced by pepsin from porcine (UCP) and pepsin from bovine (UCB). The yield of the UCP sample (15.60%) was significantly higher (P<0.05) compared to the UCB (10.40%).  In addition to this, the swelling value of two collagens showed significant differences (P<0.05), with a greater percentage obtained in UCP 9261.23%) rather than UCB (196.75%). Both UCP and UCB were classified as type I collagen owing to the existence of two alpha chains under SDS-polyacrylamide gel electrophoresis. Under infrared and ultraviolet-visible parameters, the triple helical structure of collagens prepared using pepsin from porcine and bovine was preserved, and it was comparable to previous findings in fish collagen literature. All samples showed a different thermostability value, the higher one observed in the UCP (43.63°C) compared to the UCB sample (35.25°C), and their variations of thermostability were in agreement with the hydroxyproline content of UCP (83.57 mg/g) and UCB (81.47 mg/g). The unicorn fish (N. reticulatus) skin may be used as a good source of collagen, mainly utilized for industrial perspective.
Development of a Risk Space Prediction Model Based on CCTV Images Using Deep Learning: Crowd Collapse
Authors: Chang JeongHyeon , Jung Hyesung , Park Woongil
Published: February 2024

Crowd disasters are not limited to events but can occur at any time and place where large crowds are densely gathered. The most significant factor contributing to injuries in mass gatherings is pressure. The likelihood of injuries due to pressure significantly increases when the crowd density exceeds 5-6 individuals per square meter. Once a crowd disaster occurs, it becomes challenging for rescue and medical personnel to access the affected area, potentially exacerbating the situation. However, since there is no single clear solution to address crowd disasters, there is a need for a system that can detect and analyze them in advance or in real-time. This research aims to contribute to the proactive detection and analysis of various crowd disasters, focusing on improving strategies for disaster response. In this study, we utilized a dataset of 50 videos from 35 individual incidents to propose a framework that classifies the risk levels into Crowd Crush, Crowd Wave, and Crowd Collapse. Additionally, we analyzed the feasibility of real-time detection using P2PNet (Point to Point Network), Yolo (You Only Look Once) v8, and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithms, moving away from prior still image-based detection methods. Our research outcomes provide new evidence for the feasibility of real-time detection using DBSCAN in Crowd Disaster scenarios. Moreover, the findings from this study can serve as valuable reference material for upcoming research, particularly emphasizing the algorithmic analysis of crowd collapses.
O papel de estímulos verbais eliciadores no desenvolvimento da sensibilidade ao outro na psicoterapia
Authors: Gomes Renata Cristina , De Rose Julio C.
Published: February 2024

A importância de que o indivíduo seja capaz de responder a consequências futuras e às consequências de seu comportamento sobre os outros é reconhecida tanto por profissionais e pesquisadores da área de Psicologia quanto culturalmente. Entre os psicoterapeutas comportamentais, é comum a preocupação em desenvolver o repertório de seus clientes de sensibilidade ao outro. Entretanto, muitas das intervenções clínicas nessa direção têm sido eficazes no desenvolvimento da capacidade do cliente de descrever o que estaria ocorrendo com um terceiro e os sentimentos correlatos, mas não necessariamente estariam promovendo maior inclinação da parte do cliente em emitir, fora do ambiente da sessão, uma resposta concreta de ajuda na direção desse terceiro. A análise de tais intervenções a partir da RFT permite supor que quando o psicoterapeuta é hábil em estabelecer relações de equivalência entre o relato de eventos que eliciam responder emocional do cliente com a descrição do que estaria ocorrendo com um terceiro, os clientes ficariam mais propensos a ajudar. O objetivo do presente estudo é apresentar uma proposta conceitual, alicerçada em revisão de literatura de base empírica, para um programa de pesquisa acerca de intervenções psicoterapêuticas que visem o desenvolvimento de sensibilidade ao outro e emissão de ações de ajuda correlatas.
Developmental Bibliotherapy with Extremely Shy Children
Authors: KAYMAZ Çiğdem
Published: February 2024

Extremely shy children may find themselves somehow isolated from society and feel alone. This may cause them to experience different problems at home, at school and in the community. If this situation continues in the following years, the difficulties they experience in life will increase and the probability of their emergence as mental problems such as childhood loneliness, social anxiety disorders, depression and anxiety disorders that negatively affect their quality of life will increase. Thus, it is important to intervene in childhood shyness, social isolation, loneliness, and behavioral inhibition in order to eliminate possible problems that may be experienced in childhood and at the same time to prevent the continuation of the situation in adolescence and adulthood. Developmental bibliotherapy can be used in the context of both prevention and early intervention studies for shyness in early childhood with extremely shy children. In this context, the aim of this study is to provide an in-depth perspective on the concepts of extreme shyness and bibliotherapy, and to present an example of a developmental bibliotherapy session that can be experienced with extremely shy children who are between five to eight years old in early childood period and a sample book list that can be used in the sessions.."
Measurement Invariance Analysis of Engineering and Mathematics Majors Students’ Understanding of Mathematics Courses Teaching Practices
Authors: Alquraan Mahmoud , Alhassan Mohammad , AlEassa Mohammad
Published: February 2024

This study attempts to understand the source of variation in the Students’ Evaluation of Teaching (SET) of mathematics courses by comparing the data structure of engineering major students and mathematics major students’ datasets. The sample considered in this study consists of 644 students distributed into two majors: 237 mathematics students and 407 engineering students who filled out a 20-item SET questionnaire to rate the teaching practices of three different mathematics courses offered by the Department of Mathematics. The hypothesis tested in this study is: that variation in students’ perceptions of mathematics course teaching practices is different based on students’ majors (Mathematics versus Engineering). Measurement invariance (MI) analyses were used to examine the source of variation in the datasets and to compare engineering and mathematics students’ perceptions of the teaching effectiveness of mathematics courses. While the results of this study provide evidence of the SET validity, it was found that engineering students differently perceive three out of twenty of the SET questionnaire items when compared with mathematics major students.
Barriers of Information and Communication Technologies (ICT): Narratives of Older Users and Their Facilitators
Authors: Rapoliene Grazina , Gedvilaite-Kordusiene Margarita , Tretjakova Vaida
Published: February 2024

As world populations are ageing, more attention is given to the social and digital inclusion of older people. The level of ICT non-use among older adults in Lithuania is significantly higher than in Western European countries. In 2023, 29% of the Lithuanian population aged 65–74 had never used the Internet, while in most Western countries, this share varied between 2 and 8%. Insufficient research efforts in Eastern and Central Europe prompted this study to explore the barriers to ICT use in Lithuania based on qualitative semi-structured interviews with older users (N=36) and their facilitators (N=9). The difficulties revealed by the study are divided into three groups. First, the participants found it difficult to adjust to the technologies as a unique system (to understand its specific principles of functioning, to deal with information on English and technical language). Second, their psychological relationship with the unknown and complex subject have caused some problems, as they faced a spectrum of fears, insecurity, the shame of not knowing, the experience of one’s limitations, lack of patience. Third, changes that informants relate to old age like diminishing motivation to engage with innovations, learning difficulties, and bodily changes (sensitivity of fingers, weakening sight and memory) constituted additional barriers for older ICT users. To overcome the barriers, access to mentoring and consulting would be beneficial.
Research Trends in Infected aortic aneurysms: Visualization and Bibliometric Analysis
Authors: Qu Jin , Zeng Zhaoxiang , Zhu Xinlin , Bao Xianhao , Lu Ye , Tian Wen , Feng Jiaxuan , Feng Rui
Published: February 2024

Background: Infected aortic aneurysm is one of the most life-threatening cardiovascular diseases. There is still no standardized and uniform practice in the management of it.
Objective: This study aimed to comprehensively analyze all the literatures related to infected aortic aneurysm in the past decades by using bibliometric tools from Web of Science Core Collection, revealing the research dynamics and hotspots in this field.
Methods: We summarized the articles in the Web of Science Core Collection for infected aortic aneurysm in each year from January 2000 to October 2023. The bibliometric tools including SCImago, VOSviewer and CiteSpace were used to perform data extraction and visualization. The national characteristics of macro-geographical distribution, the contributions of disciplines, journals and authors, and cooperation network of institutions and authors were revealed.
Results: A total of 1088 publications were included. The distribution of publications by year showed that the number of publications rose steadily since2004, followed by a decline from 2013 to 2017 and reaching a peak in 2021.The geographical distribution indicated that there was a large gap between the number of publications and citations in the United States and other countries.The co-authorship analysis showed that collaboration between prolific countries, productive institutions or excellent authors was scarce. The infected aortic aneurysm research was a multi-disciplinary field and most of the articles were published in journals related to surgery including Journal of Vascular Surgery, European Journal of Vascular and Endovascular Surgery etc. The keyword analysis revealed clustering and burst terms, indicating that current research focused on treatment of infected aortic aneurysm.
Conclusions: This study revealed trends in research and public interest in infected aortic aneurysm. Our findings suggested that the field was growing, and the United States taking the lead position. Moreover, cooperation between countries should be strengthened, and future research hot spots might focus on deeper exploration of drug mechanisms, prediction of treatment efficacy, prediction of adverse events, and new modes of administration, such as combination therapy, which may pave the way for further research.
MAPPING RADIOACTIVITY IN CONTINENTAL TERMINAL 3 (CT3) FORMATIONS: THE CASE OF THE THREE SISTERS, NIAMEY REGION (EASTERN EDGE OF THE WEST AFRICAN CRATON, ILLUMMEDEN BASIN)
Authors:   Universite Abdou Moumouni de Niamey, Faculte des Sciences et Techniques, Departement de Geologie, Laboratoire Eaux Souterraines et Georessources, BP: 10662, Niamey, Niger., Abdourahamane Attourabi Sofiyane , Mamane Hallarou Mallam ,   Universite Abdou Moumouni de Niamey, Faculte des Sciences et Techniques, Departement de Geologie, Laboratoire Eaux Souterraines et Georessources, BP: 10662, Niamey, Niger., Agaissa Assagaye ,   Universite Djibo Hamani de Tahoua, Faculte des Sciences de lEducation, BP : 255, Tahoua, Niger., Moustapha Sanda Chekaraou Mahamane ,   Universite Djibo Hamani de Tahoua, Faculte des Sciences de lEducation, BP : 255, Tahoua, Niger., Ranaou Noura Gambo ,   Universite Abdou Moumouni de Niamey, Faculte des Sciences et Techniques, Departement de Geologie, Laboratoire Eaux Souterraines et Georessources, BP: 10662, Niamey, Niger., Idi Chamsi Lawali ,   Universite Abdou Moumouni de Niamey, Faculte des Sciences et Techniques, Departement de Geologie, Laboratoire Eaux Souterraines et Georessources, BP: 10662, Niamey, Niger.
Published: February 2024

The Continental Terminal 3 (Ct3) formations, which rest in major unconformity on the Birimian basement of the West African Craton, correspond to the last filling deposits of the Iullemmeden basin in the Niamey region (West, Niger). The general objective of this study is to produce a surface radiometric map of the Niamey Three Sisters Hills area. The methodology used included field and laboratory work, with radiometric data processed using Surfer software. Radioactivity values in the Three Sisters area ranged from 5 to 25 shocks per second (C/s). High radioactivity values (15 to 25 c/s) are recorded in the upper terms, corresponding to the breastplates. Low values of radioactivity (5 to 15 c/s) are measured in the basal layers, corresponding to clays and alluvium. This radioactivity is thought to be due to trace amounts of uranium in these outcrops.
FETO-MATERNAL COMLICATIONS IN PREGANCY WITH METABOLIC SYNDROME -A HOSPITAL BASED STUDY
Authors:   Senior Resident Dept of OBGY, SKIMS MCH Bemina., Bassit Syed , Khan Nowsheen ,   Senior Resident Dept of OBGY, SKIMS MCH Bemina.
Published: February 2024

Background: Being first identified by Reaven as a syndrome in 1988,[14] metabolic syndrome (MetS) is a series of metabolic disorders, including abdominal obesity, impaired glucose tolerance and insulin metabolism, hypertension, and dyslipidaemia. [1,8,9] Prepregnancy metabolic changes are not only the determinant of complications during pregnancy, after pregnancy, during postpartum life, but the reasons for inappropriate perinatal outcomes. Overweight women before pregnancy increases the risk of pregnancy complications obesity turns out to be an independent risk factor for macrosomia,cesarean section,pregnancy-induced hypertension, preterm delivery, intrauterine growth restriction, congenital malformation, intrauterine foetal death,etc. [2,7]The emergence of MetS characteristics during pregnancy may also harm the fetus.[4]This study was conducted to study the maternal and foetal outcome in pregnant women with Metabolic Syndrome. Methods: Metabolic syndrome was diagnosed by utilizing the pregnancy adaptation of MeS criteria of NCEPATP III laboratory and clinical criteria. Cases were followed throughout pregnancy till delivery and maternal and foetal complications were recorded. Results: Sample size was 100patients less than 20 weeks of gestation with metabolic syndrome and 100 controls which were normal pregnant patients less than 20 weeks of gestation without any comorbidities. The mean age was 29-32 years. The mean gestational age was 13-16 weeks. LSCS was significantly higher in cases than controls. APH, Pregnancy Induced Hypertension, Pre-eclampsia, Gestational Diabetes Mellitus was significantly higher in cases as compared to controls. Preterm, IUGR, Macrosomia was significantly higher in cases as compared to controls. Conclusion: Metabolic syndrome and its associated complications in pregnancy have a strong effect on the maternal and the fetal well-being. A careful history and examination,proper and timely investigations and proper monitoring and follow up with required medication and optimal control of all the parameters will result in better maternal and foetal outcome.