bluuebunny/crossref_metadata_2025 huggingface dataset:
GÖRÜNMEYEN ÇOĞUNLUK “BİRİNCİ NESİL ÜNİVERSİTE ÖĞRENCİLERİ”NİN COVID-19 SALGIN DENEYİMLERİ
Authors: ÇAKIROĞLU ÇEVİK Aylin
Published: April 2023

Ebeveynlerinden hiçbiri üniversite düzeyinde eğitim derecesine sahip olmayan öğrenciler birinci nesil üniversite öğrencileridir. Bu çalışmada, bu öğrenci grubunun COVID-19 salgını sürecindeki deneyimleri anlaşılmaya çalışılacaktır. COVID-19 salgını; sosyal, kültürel, ekonomik ve siyasal yaşamı derinden etkileyen dünyanın daha önce deneyimlemediği küresel bir süreçtir. Etkilediği alanlar ve güçlüklerle farklı grupların, özellikle dezavantajlı grupların daha olumsuz bir biçimde etkilendiği yapılan çalışmalarla ortaya çıkmıştır. Salgından etkilenen en önemli demografik gruplardan biri de gençlerdir. Eğitim sürecinin içinde olan gençler, “evde kalma” politikasıyla yüz yüze eğitimden uzaktan/çevrimiçi eğitime geçmek zorunda kalmıştır. Bu geçiş, kendi içlerindeki eşitsizliklerin daha şiddetli biçimde görünür olmasına ve yeniden üretilmesine neden olmuştur. Uluslararası çalışmalarda, birinci nesil üniversite öğrencilerinin, dezavantajlı bir grup olduğu belirtilmektedir. Bu çalışmada ise, Türkiye’deki üniversite öğrencilerin dörtte üçünü oluşturan bu öğrenci grubunun salgın sürecindeki deneyim örüntülerinin anlaşılması amacıyla, 14 öğrenciyle gerçekleştirilen yarı-yapılandırılmış mülâkatlar tematik analiz yöntemiyle değerlendirilmiş ve dört ana tema ortaya çıkmıştır: ekonomik zorluklar, çevrimiçi eğitim, aile yanına geri dönme ve arkadaşlık ilişkileri. Bu temalar çerçevesinde yaşanan tüm güçlükler onların eğitime katılımlarına etki etmekte ve mezuniyet sonrası yaşamları için sorun oluşturma potansiyeline sahip görünmektedir. Bu nedenle, salgın dönemindeki deneyimlerden de anlaşıldığı üzere, yukarı sosyal hareketlilik için üniversitelerin sağladığı her türlü olanak birinci nesil öğrenciler için çok değerlidir. Öyleyse, kurumların onların ihtiyaçlarına yönelik politikalar üretmeleri, akademik, sosyal ve kültürel sermayeleri için yatırım yapmaları hem bireysel hem de ulusal düzeydeki refahın artmasına katkı sağlayacaktır.
Tibial Bone Loss: How to Treat without Circular Fixation?
Authors: Farouk Osama , Khalifa Ahmed A.
Published: April 2023

Segmental tibial bone defects (STBD) represent a dilemma for the trauma surgeon; these defects could result from trauma, after debridement for infection, or after tumor resection. We aimed in this review to shed some light on the various reconstruction options without the need to use a circular fixator. Reconstruction options rely on various factors related to the patient, the surgeon, and the nature of the defect (location and size). Various reconstruction techniques include simple bone grafting (autograft or allografts), bone transport [distraction osteogenesis (DO)], induced membrane technique, and vascularized fibular graft. Fixation could be performed using either internal or external fixators; the latter could be a circular or a unilateral frame. Although circular frames (Ilizarov) fixators reported good results, they are still considered cumbersome, need special attention, carry pin tract infection risk, and could not be tolerated by patients. Hence, various other options were introduced, such as bone transport over an intramedullary nail (IMN), rail monolateral external fixator, and tibialisation of the ipsilateral fibula.
Osteoporotic Vertebral Fractures: Vertebroplasty and Kyphoplasty
Authors: Netzer Cordula , Ulrich Christian T. , Hoppe Sven , Bellut David
Published: April 2023

The Article Abstract is not available.
Sagittal Balance Concept and Spinopelvic Parameters
Authors: Sadeghian Mohammad , Golbakhsh Mohammadreza , Rahimian Abbas , Talebiyan Parham , Dehghani Firoozabadi Mohammad Javad
Published: April 2023

“Sagittal balance” is defined by the anatomic relationship between the pelvis and the spine in the sagittal plane to keep the center of gravity over the feet. It is important to calculate the anatomical parameters of cervical, thoracic, lumbar, and spinopelvic regions and how any static and dynamic changes could affect the sagittal balance to understand the conditions necessary for such a balance. One of the effective changes in sagittal balance is aging, which leads to changes in spine parameters and further activation of compensatory mechanisms. Understanding the relationships between these parameters, especially in pathological cases, helps correct spine sagittal imbalance.
Isolated Trochlea Fracture: A Rare Case Report
Authors: Abdoli Abbas , Salmani Ali
Published: April 2023

Background: Trochlea fracture usually happens with other fractures such as capitellum fracture or medial or lateral condyle fracture and isolated trochlea fracture is very rare because of its location and there are only a few cases of isolated trochlea fracture that have been reported.
Case Report: We pElbow; Ulna; Humeral Fracturesresent here a 40-year-old man who suffered from an isolated trochlea fracture due to falling from three meters height on his flexed left elbow. After examination, imaging, and setting up a plan for surgery, the patient's fragment was fixed with two Herbert screws through anterior approach and after five years of follow-up which was the longest follow-up that had been reported, the patient’s elbow range of motion was 5° to full flexion with Mayo Elbow Performance Index (MEPI) of 85/100 and Disabilities of Arm, Shoulder, and Hand (DASH) score of 13.6/100.
Conclusion: Isolated trochlea fracture is very rare, and it is best treated with open reduction and secure internal fixation using anterior or medial approaches
Cultural Interventions: The Missing Factor in Pedestrian Traumatic Injuries
Authors: Tavallaei Amir Hossein , Angelliaume Audrey , Nabian Mohammad Hossein
Published: April 2023

The Article Abstract is not available.
Impact of Dietary Advanced Glycation End-Product Restriction on Insulin Resistance and Anthropometric Indices in Coronary Artery Patients Treated with Percutaneous Coronary Intervention: A Randomized Controlled Trial
Authors: Honarkar-Shafie Elaheh , Hosseinzadeh-Attar Mohammad Javad , Taheri Fatemeh , Moosavi Najme-Sadat , Yaseri Mehdi , Alidoosti Mohammad , Vasheghani-Farahani Ali
Published: April 2023

Background: Insulin resistance (IR), even in its subclinical state, is a significant risk factor for the onset and progression of coronary artery disease (CAD). IR is a multifactorial condition, and dietary composition is a factor associated with its development. Elevated advanced glycation end products (AGEs) in the body, secondary to highly processed food consumption, can impair glucose metabolism. The present study investigated whether a restricted AGE diet could affect insulin sensitivity and anthropometric indices reflecting visceral adipose tissue in nondiabetic CAD patients.
Methods: This trial randomly allocated 42 angioplasty-treated patients to follow either low-AGE or control diets based on the AHA/NCEP guidelines for 12 weeks. Serum levels of total AGEs, insulin, HbA1c, and fasting blood sugar, as well as anthropometric measurements, were evaluated before and after the intervention. The Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) and anthropometric indices were calculated according to the proposed formula. The patients’ health status was assessed using the Seattle Angina Questionnaire (SAQ) at baseline and after the intervention.
Results: Our study showed a significant reduction in anthropometric indices in the low-AGE group after 12 weeks. Insulin levels and IR decreased during the low-AGE diet. No significant changes were observed in the other serum biochemical markers. All SAQ domains significantly decreased in both groups, except for Treatment Satisfaction.
Conclusion: A low-AGE diet for 12 weeks had beneficial effects on HOMA-IR and insulin levels in patients with CAD. Regarding the fundamental role of AGE in IR development and body fat distribution, AGE restriction may positively affect these patients.
Evaluation of the Correlation between Coronary Artery Disease and Nonalcoholic Fatty Liver Disease: Is There Any Correlation?
Authors: Sanat Zahra Momayez , Ghorashi Seyyed Mojtaba , Ajir Ava , Fazeli Amir , Hekmat Hamidreza , Omidi Negar
Published: April 2023

Background: Coronary artery disease (CAD) and nonalcoholic fatty liver disease (NAFLD) are 2 common diseases around the globe. This investigation aimed to evaluate NAFLD prevalence in patients with CAD and the potential association between NAFLD and CAD.
Methods: This case-control study was performed between January 2017 and January 2018 at Ziaeian Hospital, Tehran, Iran. All patients aged between 35 and 5 years and referred for myocardial perfusion imaging were selected for the study. Totally, 180 participants were divided into CAD+ and CAD− groups. CAD was defined as stenosis of greater than 50.0% in at least 1 coronary artery. Afterward, all the patients underwent abdominal sonography and laboratory tests for NAFLD evaluation. Patients with a history of liver diseases, alcohol consumption, and drug-induced steatosis were excluded.
Results: The study population consisted of 122 women (67.8%) and 58 men (32.2%) at a mean age of 49.31±5.42 years. NAFLD was detected in 115 patients. NAFLD prevalence in the CAD+ group was 78.9%. NAFLD was determined as an independent risk factor for CAD (OR, 3.9).
Conclusions: NAFLD prevalence was high in the CAD+ group. The incidence of steatosis is on the rise in the general population. Hence, considering the high prevalence of abdominal obesity, all patients with NAFLD should be evaluated for CAD.
Myocardial Infarction in Patients with and without COVID-19: Comparisons of Characteristics, Clinical Courses, and Outcomes
Authors: Sheibani Hossein , Gheshlaghi Mehran , Hosseini Somayeh Shah , Masroor Mojgan Javedani , Daliri Salman
Published: April 2023

Background: COVID-19 has rapidly become a global health emergency. This infection can cause damage to various organs. Injury to myocardial cells is one of the salient manifestations of COVID-19. The clinical course and outcome of acute coronary syndrome (ACS) are influenced by various factors, including comorbidities and concomitant diseases. One of these acute concomitant diseases is COVID-19, which can affect the clinical course and outcome of acute myocardial infarction (MI).
Methods: The present cross-sectional study compared the clinical course and outcome of MI and some of its practical factors between patients with and without COVID-19. The study population consisted of 180 patients (129 males and 51 females) diagnosed with acute MI. Eighty patients had COVID-19 infection concurrently.
Results: The mean age of the patients was 65.62 years. The frequencies of non–ST-elevation MI (vs ST-elevation MI), lower ejection fractions (<30), and arrhythmias were significantly higher in the COVID-19 group than in the non–COVID-19 group (P=0.006, 0.003, and P<0.001, respectively). The single-vessel disease was the most frequent angiographic result in the COVID-19 group, while the double-vessel disease was the most frequent angiographic result in the non–COVID-19 group (P<0.001).
Conclusion: It appears that patients with ACS who are co-infected with COVID-19 infection need essential care.
The Validity of Heart Rate Variability Obtained from Electrocardiography and Blood Pressure in Rats Subjected to Isoproterenol-Induced Heart Ischemia
Authors: Farokhipour Maryam , Ketabchi Farzaneh
Published: April 2023

Background: Heart rate variability (HRV) is calculated by electrocardiography (ECG-HRV) or blood pressure (BP-HRV). The purpose of this study was to determine the validity of the above methods in rats with normal and ischemic hearts during the baroreflex maneuver.
Methods: The study was conducted at Shiraz University of Medical Sciences, Shiraz, Iran, in 2021. Sprague-Dawley rats were divided into a sham group and an isoproterenol-mediated cardiac ischemia (ISO) group. Saline and isoproterenol (150 mg/kg) injected subcutaneously for 2 consecutive days in the sham and ISO groups, respectively. Then, the animals were anesthetized with an intraperitoneal injection of sodium thiopental (60 mg/kg), and the femoral artery and vein were cannulated. Baroreflex was activated using an intravenous injection of phenylephrine (10 µg/100 µL saline). ECG, BP, and heart rate (HR) were recorded, and the time domain of HRV and baroreflex gain were calculated.
Results: Baroreflex gain in the ISO group (male, weight=275.8±2.8 g, n=8) was lower than that in the sham group (male, weight=258±2.3 g, n=8) (P<0.05). ECG-HRV indicated an increase in the standard deviation of the RR interval (SDRR), the index of overall HRV, and the parasympathetic index of the root mean square of successive differences (RMSSD) in both groups. However, the rise in SDRR and RMSSD in the ISO group was less than that in the sham group (P<0.05). SDRR and RMSSD obtained from BP did not show a difference between the sham and ISO groups, nor did they correspond with the results seen in baroreflex gain.
Conclusion: BP-HRV was not as valuable as ECG-HRV in assessing cardiac ischemia.
Evaluation of the Causes of Door-to-Balloon Time Delays in Patients with ST-Elevation Myocardial Infarction at Tehran Heart Center
Authors: Emami Mohammadamin , Mirzamohamadi Sara , Heidari Amirhossein , Aein Afsaneh , Salarifar Mojtaba , Nematipour Ebrahim
Published: April 2023

Background: Coronary artery disease (CAD) is the leading cause of cardiovascular death globally, and the most severe form of CAD, ST-elevation myocardial infarction (STEMI), needs immediate treatment. This study aimed to report patient characteristics and the causes of door–to–balloon time (D2BT) delays in STEMI patients admitted to Tehran Heart Center with a D2BT exceeding 90 minutes.
Methods: This cross-sectional study was conducted at Tehran Heart Center, Iran, from March 20th, 2020, through March 20th, 2022. Variables consisted of age, sex, diabetes mellitus, hypertension, dyslipidemia, smoking, opium, family history of CAD, in-hospital mortality, primary percutaneous coronary intervention results, culprit vessels, causes of delays, the ejection fraction, triglycerides, and low and high-density lipoprotein levels.
Results: The study population was composed of 363 patients (272 males [74.9]) at a mean (SD) age of 60±11.47 years. The leading causes of D2BT delays were the catheterization lab used in 95 patients (26.2) and misdiagnosis in 90 (24.8). Other causes were ST-elevation less than 2 mm in electrocardiograms in 50 patients (13.8) and referral from other hospitals in 40 (110.).
Conclusion: The catheterization lab in use and misdiagnosis were the leading causes of D2BT delays. We recommend that high-volume centers allocate an additional catheterization lab with an on-call cardiologist. Improved resident training and supervision in hospitals with many residents are also necessary.
Analysing Young Motorcyclist Trip and Parking Behaviours: A Strategy to Reduce Motorcycle Accident Numbers
Authors: Yaldi Gusri , M. Nur Imelda , Apwiddhal - , Momon -
Published: April 2023

Motorcycle numbers in Indonesia are growing rapidly and contribute 84.4% of total motor vehicles. The death numbers from road traffic accidents (RTA) involving motorcycles also increase to 74% of the deaths, including young motorcyclists. WHO reported that RTA is the leading cause of death for people aged between 5-29 years. A series of Revealed and Stated Preference surveys have been undertaken to explore the characteristics of young motorcyclist trips and their behaviors towards three different virtual parking schemes aimed at finding the best parking schemes to control motorcycle usage among young motorcyclists. Therefore, the number of young motorcyclist-related RTA could be reduced. The finding suggests that young motorcyclists preferred using off-street parking over on-street parking. The preferred distance between parking premises and activity centers is less than 50 meters. The off-street parking would be selected instead of the on-street parking, although its price is higher. The Willingness to pay for each proposed parking scheme is IDR 3,373, IDR 3,509, and IDR 3,618. It is below the ability to pay, which is IDR 4,100. Thus, an on-street parking scheme with progressive pricing and a minimum base price of IDR 5,000 is proposed, where at least 30% of parking lots should be allocated for short-term parking. Finally, the proposed parking scheme must be supported by reliable public transport services based on the young motorcyclist preferences, which would be the direction of future research.
Mapping the Provincial Food Security Conditions in Indonesia Using Cluster Ensemble-Based Mixed Data Clustering-Robust Clustering with Links (CEBMDC-ROCK)
Authors: Ratnasari Vita , Dani Andrea Tri Rian
Published: April 2023

Problems related to food are indeed an issue that continues to be discussed by the government, both imports, self-sufficiency, the issue food security. Food security conditions have become one of the biggest problems in Indonesia, even though Indonesia is an agricultural country with abundant resources. The problem is not only the availability but also the affordability. It happens due to the social inequality between the rich and the poor, which means the rich can easily relish food. People with low incomes experience food insecurities. Thus, an appropriate strategy and policies can be done for each province in Indonesia to make it equal. Cluster analysis is used to map the provincial profile based on the condition of food security. However, the variable types in this research are numerical and categorical data, which makes general cluster analysis insufficient. This study used the Cluster Ensemble Based Mixed Data Clustering-Robust Clustering Using Links (CEBMDC-ROCK) method to cluster provinces in Indonesia based on food security conditions. The analysis process starts with numerical clustering data using Agglomerative Hierarchical Clustering (AHC) and then with categorical data using Robust Clustering Using Links (ROCK). The result shows that the province in Indonesia is divided into five groups based on the quality of food security, which is from very low to excellent. Based on the clustering results, which provinces need special attention from the government regarding food security can be seen.
Hydrogen Recovery from Electroplating Wastewater Electrocoagulation Treatment
Authors: Rusdianasari - , Taqwa Ahmad , Syarif Aida , Bow Yohandri
Published: April 2023

The electroplating industry is one of the industries that contribute to liquid waste that can pollute the environment. An increase must also follow the rapid development of the electroplating industry in the wastewater treatment system. The presence of heavy metals such as chromium (Cr) and nickel (Ni) in electroplating wastewater can cause problems for humans and the environment; hence, electroplating wastewater treatment needs to be done. One form of electroplating wastewater treatment is that it can be processed as a material to obtain hydrogen gas (H2) as a new energy source. Electroplating wastewater can be processed into hydrogen gas by the electrocoagulation method using metal electrodes. In this study, the production of hydrogen gas from electroplating wastewater was carried out with a 2 (two)-step process, namely the treatment of electroplating wastewater with an electrocoagulation device and followed by the process of processing electroplating wastewater into hydrogen gas using an oxyhydrogen reactor. In the process of treating electroplating wastewater into hydrogen gas, KOH catalyst is added with varying concentrations, and the electrolysis time is 5 minutes. The purpose of adding a KOH catalyst is to obtain optimum hydrogen gas in the electroplating wastewater treatment process into hydrogen gas. The optimum KOH catalyst concentration for electroplating wastewater treatment into hydrogen gas after 5 minutes is 0.5 M, with a volume of hydrogen gas generated of 2.875 L and H2 content of 554 mg/m3.
User Interface Design of Jaipong Dance Applications for Elementary School using the User-Centered Design (UCD) Method
Authors: Martha Ati Suci Dian , Muqorobin Siti Nasron Azizah , Riskiana Rosa Reska , Widowati Sri
Published: April 2023

The Jaipong dance is one of the traditional Indonesian dances, the nation's cultural heritage originating from West Java. Introducing dance to elementary school-level children is one way to maintain and preserve regional culture. However, the limited learning time causes the material to be delivered less in-depth, so students feel bored, lose motivation, and get some critical information from the material. This study aims to build a mobile-based learning application for Jaipong dance learning activities at the elementary school level using the User-Centered Design (UCD) method. The application evaluation involved fifteen public elementary school students in Ciamis, West Java. Participants were asked to answer a quantitative survey using the Quality Use Integrated Measurement (QUIM) instrument to discover their experience using the application during Jaipong dance lessons. The test results get an average score of 91%, included in the "excellent" category. These results were strengthened by the user's understanding of the Jaipong dance. As many as 86.7% of users who use the Jaipong dance learning application understand the material well. In contrast, only 33.3% of YouTube users understand the material well. This paper shows that the UCD method contributes to the design process according to the needs and characteristics of the user to design the user interface of the Jaipong dance learning application.
Designing Web-Based Knowledge Building for Pedagogical Content Knowledge Development of Prospective Teachers
Authors: Yurniwati - , Kustandi Cecep
Published: April 2023

Prospective teachers need to be competent in teaching mathematics. Web-based Knowledge Building is designed to train prospective teachers to have knowledge and skills in teaching mathematics to elementary students. The research and development studies using the ILDF model consist of three phases: exploration, enactment, and evaluation. In the exploration phase, 175 prospective teachers respond 5 points Likert scale for need analysis. We get information that prospective teachers have moderate abilities and conceptual knowledge but high abilities in procedural knowledge. Also, they highly intend to improve their competence in teaching mathematics. They have high skills in learning in an online environment. In the enactment phase, the Moodle application was designed and developed Web-based building knowledge running by LMS. Arithmeticâ€™s instruction course installed in LMS organized in 16 sessions and facilitated by document video, and quiz. The prototype was validated by three subject matter and three learning media experts. In the evaluation phase, the prototype was validated by 40 prospective teachers. The results were that the prototype has a higher score in easy to use, subject matter organizing, adequacy and breadth of subject matter, and benefit. In conclusion, web-based knowledge building is valid and appropriate for developing prospective teacher education. The web-based knowledge building is advantaged in information access, collaboration, knowledge construction, and learnersâ€™ responsibility in knowledge acquisition.
Synthesis and Characterization of Polymer Electrolyte Membrane Based on Cellulose-Chitosan-Alginate as Li-Ion Battery Separator
Authors: Syafri Rahmadini , Emriadi - , Zulhadjri - , Efdi Mai , Ginting Delovita , Chairil - , Saputra Edy , Taslim Rika , Daik Rusli
Published: April 2023

The current commercial Gel Polymer Electrolyte (GPE) products are generally made of synthetic and non-biodegradable materials. In addition, some of these polymers require toxic reagents and complex synthesis processes. The purpose of this research is to manufacture GPE membrane products using biodegradable raw materials, a combination of Hydroxy Ethyl Cellulose (HEC), Carboxymethyl Chitosan (CMCs), and Sodium Alginate (SA) with lithium salt as the electrolyte source. The methods start from the fabrication/synthesis of biodegradable GPE membranes in various compositions, then LiOH is added as an electrolyte source and glutaraldehyde as a crosslinking agent using a solution casting technique. The mechanical membrane testing (tensile strength and elongation) and characterization were carried out using XRD, SEM, and FTIR. Based on mechanical tests carried out, variations in HEC 50%: SA 50% has the highest tensile strength value of 81.4255 MPa and the lowest elongation value of 11.68%. The results of XRD analysis in the presence of a typical peak in the HEC: SA variation was 11.56Âº, which could affect the strength of the electrolyte-polymer gel membrane (GPE). The results of SEM analysis proved that the HEC: SA variation has a porous morphology that can affect the ion absorption capacity in lithium-ion battery applications. The results of FTIR analysis proved that there are functional groups S=O, CH, CO, NH, OH, and COC in the three membranes (SA, CMCs, and HEC).
The Efficiency of All Crime Prevention Through Environmental Design Generations in Malaysia Housings
Authors: Ismail Radzi , Terh Jing Khoo , Yee Ha Chin , Mohd Shafiei Mohd Wira
Published: April 2023

Crime Prevention Through Environmental Design (CPTED) is an effective approach in reducing the crime rate in residential area which recognized by experts. This approach was introduced in 1960s where the built environment of housing was emphasized initially in first generation CPTED while social dimension was utilized in second generation CPTED. Nowadays, CPTED has improved significantly from the first generation which only emphasize on the physical features of the artificial environment to second generation which consider the social aspects such as mutual trust and sense of belongings among the residents. Since the implementation of CPTED has been long executed, this theory should evolve along with the application of internet technology today as social cohesion has weak physically. People prefer to communicate online during their convenience time. Thus, third generation CPTED which emphasizes the adoption of internet and cloud system should be considered. This study has gone through all generations of CPTED by reviewing relevant literature and intended to develop a third generation CPTED. As a result, the concept of sustainability that consists of environmental, economic, and social dimensions; and connectivity via internet should be added into CPTED on top of the existing tangible and intangible criteria arise from first and second generation CPTED. The outcome of this article can be made as the foundation of the creating of third generation CPTED which can help to reduce crime without huge initial, implementation and maintenance cost to the residents.
Performance Evaluation of the Urban Drainage Network Structure Using the SWMM Model
Authors: Nurhamidah Nurhamidah , Junaidi Ahmad , Yogyantoro Almer Hafiz
Published: April 2023

The drainage channel system is an important factor in city planning. It controls runoff and prevents cities from flooding. The urban drainage design also contributed to the city planning in Padang, where the risk of flooding is very high. Belimbing Area is one of the neighborhoods in Padang that often floods because of the poor drainage channel system. This research aims to improve its drainage channel system by surveying parts of the Belimbing Area with a high risk of flooding and evaluating its drainage channels using EPA SWMM v5.1. Data such as drainage channel dimension, climate, and subbasin data are collected and simulated using the software. Rainfall data used for this research are 20 years from Koto Tuo Station and Gunung Nago Station. The distance between each station to the research area is 2.30 km for Koto Tuo Station and 3.30 km for Gunung Nago Station. The infiltration method used in the software is Horton's Method, which will provide the data by Infiltrometer. The result shows parts in Belimbing Area that cannot hold their runoff and which drainage channel overflows. Fortunately, there is no significant runoff or severe overflows, but the result does not match its existing situation. This might happen because of lots of trash and plants clogging the channel. This research will benefit the government and stakeholders to take action on the current situation by recovering Belimbing Area's drainage channel.
The Influence of Marble Waste Powder on Clay Soil Stabilization
Authors: Kusuma Rama Indera , Mina Enden , Fathonah Woelandari , Bilhaq Adjie Anfasha
Published: April 2023

Soil properties are critical in building and road construction, which often causes problems, particularly for clay-type soil. The poor condition of clay soil is indicated by its high plasticity, low shear strength, high volume changes, and high shrinking properties. In the current work, marble waste powder (MWP) was used as an additive to stabilize the soil. The investigation aims to study the effect of the weight percentage of MWP addition and to cure time on the soil stabilization properties. Soil samples were taken from Jalan Masjid Priyayi, Kasemen, and Serang. Variations of marble powder waste were 0, 7, 17, and 27%-wt with a curing time of 0, 7, 14, and 28 days. The soil tests were performed for sieve analysis, soil density, moisture content, Atterberg (liquid limit), soil compaction, and unconfined compressive strength (UCS) tests. The study results found that the soil was categorized as OH-type organic clay with high plasticity according to the Unified Soil Classification System (USCS) classification. The plasticity index value decreased with the increase in the content of MWP. The effect of curing time is highly influential in increasing the UCS value. The longer the curing time, the higher the UCS value. The highest UCS value obtained after adding 7% MWP with 28 days of curing was 3.427 kg/cm2 from only 0.749 kg/cm2 in the clay soil before mixing with MWP. The addition of low-cost MWP effectively improves clay soil stabilization.
Intention to Adopt Online Food Delivery Using Augmented Reality Mobile Apps: A Perspective of SOR Framework
Authors: Khosasih Mikhael Ming , Lisana Lisana
Published: April 2023

Globally, the COVID-19 pandemic has affected all sectors, including the food and beverage industry. The pandemic has changed customers' behavior from dine-in services to online food ordering systems. Technology advancements make ordering food easier with Online Food Delivery (OFD) service. However, before buying food online, consumers require a physical assessment to decide to buy the food or beverage. Augmented Reality (AR) is a popular technology to show 3D virtual elements. Meanwhile, the stimulus-organism-response (SOR) framework can be used to analyze consumers' behavior. More specifically, the SOR model has been used to evaluate the user's behavior intention to accept online shopping apps. However, in the OFD context, there is a lack of research investigating the customer's intention to use the AR app based on the SOR perspective. This study aims to assess the factors influencing consumers' intention to adopt augmented reality apps. 52 AR OFD app customers participate in this study. Partial Least Square-Structural Equation Modeling (PLS-SEM) and SMARTPLS 3 was used to analyze the research model. This study evaluated from measurement and structural model. The measurement model using factor loading, Composite Reliability (CR), Average Variance Extracted (AVE), and heterotrait-monotrait (HTMT) ratio. The structural model assessed the variance inflation factor (VIF), R2, path coefficient (Î²), f2, and p-value. The results showed the significance of food image on hedonic, utilitarianism, and perceived informativeness. Furthermore, hedonism was the only determinant that positively influenced the customers' intention to use the AR OFD apps.
Safety Risk Factors for Tower Cranes Used by Small and Medium-Scale Contractors on Construction Sites
Authors: Sodangi Mahmoud
Published: April 2023

Considering a large number of Small and Medium-Scale Contractors (SMSCs) dominating the construction industries of many developing nations and the increasingly high rate of tower crane accidents in the industry, this paper seeks to methodically determine the safety risk factors that are significant in influencing construction site safety, especially on sites where the SMSCs operate tower cranes. The paper will further assess the extent to which each safety risk factor affects safety on construction sites. Data for the study was obtained through a literature search, site visual observations, discussions with site operators, and structured questioning of safety and equipment managers of leading construction companies. The study's findings reveal that the operator's low experience level was the most significant factor influencing construction site safety, particularly when operating tower cranes. This paper systematically investigates the key safety risk factors that influence construction site safety when operating tower cranes. The paper presents a clear methodology for identifying and prioritizing the safety risk factors, which may readily apply to other construction equipment. The findings of this paper are expected to play an important role in promoting and enhancing a safety culture for operating tower cranes in construction sites, particularly the project sites operated by the SMSCs.
Land Capability and Suitability Assessment for Reducing Risk Disaster in Small Island: The Case of Sulabesi Island, Indonesia
Authors: Lautetu Lisa Meidiyanti , Hasibuan Hayati Sari , Tambunan Rudy P.
Published: April 2023

Small islands possess the main character, namely limited land resources; thus, their development must pay attention to the land's capability to support life. Sulabesi is one of the small islands located in the North Maluku Islands with a very low to very high level of land capability. As a small island and center of activity, it faces several problems, including population growth, land availability, and vulnerability to natural disasters. The study aimed to assess the suitability of land capability with land cover and disaster risk and provide direction for the development. Additionally, it employed an overlap analysis method using the ArcGIS 10.5 tool with spatial data, namely land capability and disaster risk, and land cover changes from Landsat 7 & 8 satellite imagery throughout 2000, 2010, and 2020. The research finding denoted that Sulabesi Island continues to experience changes in land cover, particularly the increase in built-up land for 20 years. These changes were then spread over the land capability of class A and class B development capability characteristics of 280.46 ha. Furthermore, the suitability between land capability and disaster risk areas was also observable in classes A, B, and C, with the risk of tsunamis, earthquakes, and landslides. Thus, efforts to manage sustainable land use, mainly built-up lands, must be directed at the capability of land with a very high - medium development classification and free from disaster risk. It can be a reference for future research in developing small islands that are more resilient.
Antioxidant Activity and Compound Analysis Using Various Types of Solvents on Cascara Pulp Arabica Gayo Coffee to Treat Skin Aging
Authors: Lestari Wahyu , Hasballah Kartini , Listiawan M. Yulianto , Sofia Sofia
Published: April 2023

Cascara dry coffee skin (coffee cherry tea) is one of the waste products of dried coffee pulp, which is useful as an inhibitor of free radicals, protects the stomach, and is beneficial for the skin. One that can inhibit free radicals is antioxidants. This study assessed the effect of different solvents on Arabica Gayo coffee pulp cascara's antioxidant activity and analyzed the components of Arabica Gayo coffee pulp compounds. This study's experimental methods include cascara extraction, antioxidant assay, and metabolite identification by GCMS analysis. Water, ethanol, methanol, n-hexane, and ethyl acetate were used to extract the cascara Arabica Gayo coffee, then the various concentration of extract was prepared and tested with DPPH solutions. Extracts also identified their secondary metabolites by using GCMS analysis. The antioxidant assay revealed all extracts showed DPPH reduction with performing by changing color into a yellow color. A high concentration of extract positively correlated with percent DPPH inhibition. The highest antioxidant was the ethanol extract of cascara, followed by n-hexane, water, methanol, and ethyl acetate. The metabolites profile of each extract might cause different antioxidant activities. Metabolite profiles showed caffeine in all extracts, with the highest concentration in the n-hexane extract. Hexadecenoic acid was dominated at n-hexane extract, methanol, and ethyl acetate showed unique compounds, quinic acid in methanol and 1(2H)-Naphthalene, octahydro-4a,8a-dim at ethyl acetate extract. Both reported potential antioxidant activity. In summary, ethanol was recommended solvent with high antioxidant performance.
The Fermentation Time Effect against the Isoflavones Profiles of Genistein and Daidzein of Blacksoyghurt as a Potential Functional-Probiotic Drink
Authors: Rahmawati Aisyah Agis , Setiani Bhakti Etza , Pramono Yoyok Budi , Al-Baarri Ahmad Ni'matullah
Published: April 2023

Blacksoyghurt is a fermented black soybean juice drink as a vegan probiotic product as an option as a substitute for dairy products. Black soybean glucoside isoflavone compounds are converted into aglycone compounds during the fermentation process which is antioxidant compounds. This study aims to determine the effect of fermentation time on the isoflavone profile of genistein and daidzein blacksoyghurt, as well as panelists' preferences as potential functional drinks. Blacksoyghurt was fermented with 5% lactic acid bacteria starter at 37Â°C for 0 hours, 3 hours, 6 hours, 9 hours, and 12 hours. The results of isoflavone, genistein, and daidzein profiles were analyzed by descriptive analysis using Microsoft Excel 19 for windows. LAB viability analysis was analyzed using one-way ANOVA followed by Duncan's analysis to determine whether there was a significant difference in treatment at the p
IDS Based on Machine Learning in Reaction to IoT Attacks: Review and Empirical Evaluation
Authors: Bamou Abdelouahed , El Ouadghiri Moulay Driss , Aghoutane Badraddine , Maada Loukmane
Published: April 2023

Recently, connected objects have been the subject of cyber-attacks at an alarming rate. These devices connected to a vast volume data stream have insufficient resources and are not manually configured. Typically, attacks target the usability and exploitation of these vulnerabilities. These attacks make the mission of traditional intrusion detection (IDS) systems more challenging to limit intrusion threats. Machine learning (ML) can solve this problem, mainly since the Internet of Things (IoT) can collect and transfer massive amounts of data. This data is the essence of ML, enabling it to build security and privacy models which can predict or classify malicious nodes and network traffic in the IoT. This article looks at the more common forms of cyberattacks, which could lead to an IoT system failure, as well as a countermeasure capable of limiting their damage. First, we present a general review of IDS and these evaluation measures as a solution to limit these attacks. After reviewing the ML domain and these often-used algorithms, on which the IDS can be based to accomplish its mission, we examine the different datasets researchers use to form their IDS. Finally, we look at a practical example of using Python to evaluate ML methods on a current dataset (TON IoT). The research is based on previous research on the topic. The results enable us to choose the appropriate algorithms for the IDS to achieve the best binary and multi-classification based on the evaluation parameters.
Combination of Extraction and Distillation Red Ginger Rhizome on the Composition of Active Compounds and Tyrosinase Inhibitory Activity
Authors: Batubara Irmanida , Badrunanto - , Wahyuni Wulan Tri , Farid Muhamad
Published: April 2023

In Indonesia, red Ginger is commonly used as traditional medicine and health drink. Its bioactive compounds are generally extracted separately in essential oils or oleoresin only. This study aims to maximize the extraction of red ginger rhizome bioactive compounds in the form of oleoresin and essential oil simultaneously and examine the effect of the different methods of extraction and distillation on the quality. The first method is essential oil extraction by water-steam distillation, continuing with oleoresin extraction of the ginger rhizome, while the second method is oleoresin extraction of fresh rhizome, continuing with distillation. The essential oil quality is determined based on the chemical composition and the tyrosinase enzyme inhibitory activity. The results showed that the essential oil produced by the second method contains higher zingiberene content (28.5%) with clear pale-yellow color, while the first method is orange with 15.4% zingiberene. The 6-gingerol, 8-gingerol, 6-shogaol, and 10-gingerol content of the oleoresin by the second method is higher than the first method. Furthermore, the inhibition test of two tyrosinase enzyme activities showed that the essential oil and extract from the two method is not significantly different. Thus, in addition to obtaining two extracts at once in the form of oleoresin and essential oil, this study also showed that the extraction process carried out before distillation of the rhizome could increase the yield of both extracts and increase the quality of red ginger essential oil.
Smart Agriculture: Soil Aggregate Stability Classification for Damaged Crops in India
Authors: Meenakshi M. , Naresh R.
Published: April 2023

Soil health is the most important element in a stable farm environment in soil-based agriculture. Soil aggregate stabilization is man-datory for soil characteristics influencing crop yield and stability. The study was conducted on Tamilnadu delta areas where the alluvial and black soil types for rabi and Kharif crops are used, and soil parameters are analyzed. This study aims to provide an overview of the mechanisms and aggregate-forming agents using ensemble methods. It is difficult to assess and analyze the aggregate stability. However, the most popular farming methods used in commercial crop yields, including artificial fertilizers and monocul-tures, can weaken the soil throughout the term, resulting in a sequence of issues that necessitate using many more man-made inputs, which contribute to global warming. The soil type's qualities and functions in predicting the crop type that can be grown under spe-cific soil conditions. Remote monitoring of soil parameters can change agricultural practices and boost productivity. We suggest a process in this article for classifying soil based on micro and macro-nutrients and predicting the form of the crop that can be grown in that type of soil. The results obtained were compared to the standardized maximum point for specific crops, and crop inputs var-ied depending on the variations. Several ensemble methods have been used, such as the bagging meta-estimator, Ada Boost, and XGB. On the held-out dataset, the bagging models estimated an accuracy of 98 percent, showing the technological viability of differ-ent soil types.
Hybrid Feature Extraction and Infinite Feature Selection based Diagnosis for Cardiovascular Disease Related to Smoking Habit
Authors: Banu Umera , Vanjerkhede Kalpana
Published: April 2023

Electrocardiography (ECG) is a growing study in the realm of patient monitoring systems to detect cardiovascular disease (CVD) by smoking habits. This study investigated the categorization and analysis of CVD related to smoking habits using the ECG dataset from the Physikalisch-Technische Bundesanstalt (PTB). After acquiring ECG data, the feature vectors were extracted using hybrid feature extraction (a mix of statistical, energy, and entropy characteristics). To extract features from obtained ECG signals, nineteen characteristics were merged. Artifacts in the signal are being reduced by using a zero phase butterworth filter, and the peak identification of ECG signal is attained by using the Pom-Tompkins method. Then, infinite feature selection was used to delete unnecessary characteristics or choose the best feature subsets. After choosing the best characteristics, the ECG signals of smokers and non-smokers are classified using a supervised classifier (K-Nearest Neighbor (KNN)). KNN classifier has the advantage of balancing the data for the classification of smoker and non-smokers. This discovery has several benefits, including earlier detection of cardiovascular disorders and great assistance to physicians during surgery. The results of the experiment are evaluated using classification Accuracy, F-Score, Specificity, Sensitivity, and Mathews Correlation coefficient (MCC) for the proposed technique, and the process efficiently discriminated the ECG signals of smokers from non-smokers in comparison to the previous methods; the suggested strategy improved accuracy by 3-40%.
Effect of Human Response on the Effectiveness of Advanced Vehicle Control Systems (HRAVCS)
Authors: Iskandarani Mahmoud Zaki
Published: April 2023

This work aims to investigate the effect of driver response to relayed messages through Human Machine Interface (HMI) on the effectiveness of Human-Vehicle Interface (HVI) and to enable the optimized design of HMI. The investigation and mathematical modeling cover vehicles with Advanced Vehicle Assistant System (ADAS), which operates using Advanced Vehicle Control System (AVCS). The presented model uses driver response time and machine (electronics, sensors, processors) processing time to measure vehicular efficiency and driver interaction, which is also a function of the HMI design, and the way messages are passed to the driver. The produced model uses a probability function that can be used in the design and testing process to assess the effect of failure on the designed interface and relates the function to the driver's response time ratio and the vehicle electronics' processing time. The presented work concluded that as the driver response time increases, effective interaction decreases as a probability function. Also, as the driver response time deviates from the specified threshold, the effective interaction decreases, which also applies to the processing time. In addition, as the time ratio between the driver responses to the machine processing (Time Ratio) increases, the effective interaction parameter (R) value decreases. The work also proved that a more adaptive model is possible using a probability function correlated to the response time ratio to processing time.