bluuebunny/crossref_metadata_2025 huggingface dataset:
Repercussão do desmantelamento de políticas na produção de invisibilidade: quando os agrotóxicos deixam de ser um problema público
Authors: Coudel Emilie , Santos Beatriz Abreu dos , Silva Danielle Wagner , Piva Mariana , Nasuti Stéphanie , Folhes Ricardo Theophilo , Bonnet Marie-Paule , Lima Denise Valéria , Passos Carlos José Sousa , Nakamura Ione , Moura Gracivane Rodrigues de
Published: April 2023

O Brasil é um dos maiores consumidores mundiais de agrotóxicos, mas seus impactos sobre a população ainda são pouco reconhecidos como um problema público. Durante os governos trabalhistas (2003-2016), vários espaços de participação social foram criados para debater esse tema. Neste artigo, discutimos como o desmantelamento desses espaços vem contribuindo para uma produção de invisibilidade dos impactos dos agrotóxicos. Fomos confrontados com essa questão ao construir um observatório cidadão na região metropolitana de Santarém, Pará, em parceria com sindicatos de agricultores familiares. A partir de entrevistas, observação participante e grupos de reflexão, analisamos como o desmantelamento da regulação de agrotóxicos aconteceu em nível nacional e como repercutiu em âmbito territorial. Mostramos que, apesar de pesquisas evidenciarem os impactos dos agrotóxicos, a desarticulação progressiva dos espaços de participação social, como a do Fórum Regional de Combate aos Impactos de Agrotóxicos em Santarém, leva à invisibilização dos impactos causados por seu uso.
Mudança, desmonte de políticas e defesa do meio ambiente no Brasil
Authors: Neves Estela Maria Souza Costa
Published: April 2023

Este artigo explora as mudanças ocorridas recentemente no campo da política ambiental no Brasil, testando contribuições da literatura internacional do desmonte de políticas ao caso brasileiro. A política ambiental, na esfera federal, é analisada ao longo de quatro décadas (1981-2021), à luz de características estruturantes do campo da política ambiental e, segundo a perspectiva do desmonte como um processo de mudança relativo, será analisada diante da trajetória de uma determinada política. A direção uníssona das mudanças, a paralisação de atividade-chave e o poder de polícia ambiental, que atingiu todas as áreas e temas da agenda no período 2016-2022, permitem a caracterização do processo como desmonte da política ambiental em curso, estendido a todo o campo da política ambiental. Há necessidade de aprofundamento da investigação para conhecer efeitos ainda indeterminados do desmonte, tais como permanência de efeitos em horizonte temporal de médio prazo e irradiação de consequências para além da área ambiental, assim como suas relações com o regime democrático.
SAFA FAO as an assessment tool for family farming under the sustainability bias
Authors: Oliveira Juliano de , Hanisch Ana Lúcia , Farias Daniel da Rosa
Published: April 2023

The use of Rapid Assessment Protocols can characterise environmental problems such as the degradation of river sources, help understand the socio-environmental scenario of rural communities, and contribute to a more in-depth characterisation of the context and the elaboration of public policies for its solution. This work aims to evaluate the sustainability index (SI) of rural properties using the SAFA tool. Indicators were selected that can contribute to identifying the advantages and limitations of rural properties inserted in a stream micro-basin in Brazil (Barra Grande, Canoinhas, Santa Catarina State). The community generally has a good SI, mainly due to economic resilience and social well- being dimensions, with lowest scores in environmental integrity and good governance. On the other hand, themes that should receive attention to increase the SI of the families are related to the increase of biodiversity in the properties, with an emphasis on forest coverage.
TOPLUMSAL CİNSİYET BAĞLAMINDA ‘EV’İN ANLAMI VE EV İLE KURULAN İLİŞKİNİN FARKLILAŞMASI
Authors: KOÇAK TURHANOĞLU F. Ayşın , BEKLAN ÇETİN Oya
Published: April 2023

Ataerkil ve kapitalist toplumlar, toplumsal cinsiyet ilişkileri ve eşitsizliklerinin inşa edildiği ve yeniden üretildiği özel alan ve kamusal alan ayrımına dayalı olarak karakterize edilmektedir. Bu ayrıma bağlı olarak ev yaşamı, genellikle mahremiyet, özgürlük, güvenlik ve rahatlıkla ilişkilendirilerek kamusal dünyadan ayrılan, özel ve kişisel bir alan olarak kabul edilir. Ayrıca ev, insanların aidiyet ve duygusal bağlılık kurduğu, hatıralar barındıran tanıdık bir yer, sevgi ve huzur ortamı olarak tanımlanır. Bu anlamda bir konutun veya mekânın eve dönüştürülmesi, eve yüklenen anlamlar ve evle kurulan ilişkiler aracılığıyla gerçekleşmektedir. Bu süreçte kadınların ve erkeklerin eve ilişkin pratik ve deneyimleri farklılaşmakla birlikte bazı çelişkiler de içermektedir. Bu çalışma, toplumsal cinsiyet bağlamında evin anlamının ve evle kurulan ilişkinin nasıl farklılaştığını araştırmayı amaçlamaktadır. Eskişehir’de yapılan nitel araştırmada, amaca yönelik örneklem seçimi uygulanarak evli çiftlerle derinlemesine mülakatlar gerçekleştirilmiştir. Araştırmanın sonuçlarına göre, kadınlar ve erkekler tarafından eve benzer anlamlar yüklendiği; ev ve aile üyeleri arasında kurulan ilişkinin ise toplumsal cinsiyet bağlamında ev işlerine harcanan zaman ve emek, ev içinde kendilerine ait kişisel zaman ve mekân ile evdeki hatıra eşyalar açısından farklılaştığı ve bazı çelişkiler içerdiği görülmüştür.
MEASURING SOCIAL CAPITAL FOR TURKEY USING TIME-USE SURVEY DATA
Authors: HACIMAHMUTOĞLU Hande , YÜKSEL-KAPTANOĞLU İlknur
Published: April 2023

Social capital is referred as one of the factors that influence the place of an individual, a community, or a nation in a given social universe. Hence, the measurement of social capital is significant to understand the differentiation among these places of individuals. In this study, to comprehend the social capital in Turkey, we aimed to measure the social capital of individuals via constructing a composite index. After scrutinizing the data and the indicators used in the former studies in the literature and comparing them with the official and nationally representative data for Turkey, we saw that 2014-2015 Turkey Time-Use Survey presents the most suitable data and it provides information about the structural aspect of social capital. We conducted a factor analysis and found three factors to construct a social capital index, namely everyday sociability, social network support, and cultural sociability. Our findings revealed that the social capital level for women is lower than men, derived from the very high level of everyday sociability of men, while social network support and cultural sociability of women are higher than men.
TELEMEDICINE AT THE THRESHOLD OF NEW RELATIONALITIES AND OLD RESIDUES: A CASE STUDY
Authors: ÇOBANOĞLU Cansu , AKKAYA Buse , ALTINIŞIK ERGUR Göksel
Published: April 2023

The evolution and adoption of information and communication technologies have brought about significant changes in the way we perceive and relate to the world around us. These technologies have facilitated instant communication across distances and stretched our perceptual frontiers well beyond the constraints of physical space. In this study, we are exploring the influence of one of these technologies, telemedicine, on the human experience, a technology that has become particularly relevant amid the COVID-19 outbreak. Specifically, our study centers on patient-physician interactions through telemedicine during the pandemic in Turkey, with a sample of 30 patients who received consultations from the same pulmonologist. Our research highlights the need to consider the social and technical elements that construct technology to fully understand the impact of technological transformations on the human experience. Through our case study on telemedicine, we argue that this technology leads to a reframing of patients' perception of space, which in turn shapes a different mode of being for them in patient-physician interactions mediated by this very artifact. Furthermore, our emphasis on the relational aspect of technology underscores the idea that technology not only constructs new modes of relationships but also embodies the context in which it operates. In particular, our case study on telemedicine during the COVID-19 pandemic in Turkey highlights how this technology embodies a neoliberal socio-political framework from its inception and how, in turn, this leads to the construction of various forms of neoliberal participation, such as access to and use of this technology in the relations it facilitates. Consequently, our research highlights the interconnectedness of technology by examining the impact of telemedicine on patient-physician interaction in a given context.
The Management of Elbow Dislocations and Associated Lesions: A Review Article
Authors: Patel Midhat , McKee Michael
Published: April 2023

Dislocations around the elbow joint can be isolated (termed a simple elbow dislocation), or occur with concurrent ligamentous and/or bony injuries. In cases of a simple elbow dislocation, surgery is rarely required. Patients should be evaluated radiographically for a concentric reduction, immobilized for 7-10 days, and begin early range of motion activities. In patients who return for follow-up with no bony injuries but a loss of concentric reduction, surgical treatment is recommended. This may consist of static or dynamic external/internal fixation or direct repair of the damaged ligamentous structures. Fractures associated with elbow dislocations may be difficult to identify and require computed tomography (CT) scans to characterize. A terrible triad injury consists of a radial head fracture, coronoid fracture, and ulnohumeral dislocation. This may be associated with lateral collateral ligament (LCL) and/or medial collateral ligament (MCL) injuries. These injuries require operative treatment with open reduction and internal fixation of the coronoid, fixation or replacement of the radial head, and repair of damaged ligamentous structures, depending on the specific injuries.
Minimally Invasive Fixation in Osteoporotic Vertebral Fractures: A Review Article
Authors: Tan Sie-Hiong , Kuo Ming-Chi , Yeh Yu‑Cheng , Ho Meng-Yin , Tsuang Fon-Yih
Published: April 2023

here are several surgical strategies which have been proposed to treat the osteoporotic patient with vertebral fracture, ranging from vertebral body cement augmentation, percutaneous/mini-open short segment pedicle screw fixation, and cortical bone trajectory screw to kyphotic deformity correction surgery. Minimally invasive spine surgery has the potential benefits of faster recovery, reduced blood loss, less postoperative wound pain, lower infection risk, and shorter length of hospital stay. Novel surgical techniques such as percutaneous instrumentation fixation, cortical bone trajectory technique, screw cement augmentation, and vertebral body augmentation are developed. However, various complications have been reported, including pedicle fracture, instrumentation loosening, adjacent-level disc degeneration with herniation, and progressive junctional kyphosis. The purpose of this review was to outline various advancements in minimally invasive spinal surgery for patients with osteoporosis. Minimally invasive surgical techniques for fixation including percutaneous instrumentation, cortical bone trajectory technique, screw cement augmentation, and vertebral body augmentation have benefited patient with osteoporosis. Studies and discussions about short-segment pedicle screw fixation (one level above and below the fracture level) have shown that it provides enough stability for thoracolumbar burst fractures. There are also complications, including cement embolism, adjacent vertebral fracture, neuraxial anesthesia, and infection, which have been observed with the above technique. With the advancement of instrument and technique, the complication rate decreased in recent studies. Minimally invasive fixation still has many advantages for patients with osteoporosis. Many of these studies and strategies only have evidence from biomechanical and cadaveric studies and require further clinical trials to establish their clinical efficacy.
Surgical Approaches for Femoral Neck Fractures: A Review Article
Authors: Apivatthakakul Theerachai
Published: April 2023

Displaced femoral neck fractures in the young are difficult to treat. The complexity of the fractures for closed or open reduction requires careful surgical planning and experience. Acceptable reduction criteria in this fracture is crucial and should be followed strictly in order to get the favorable outcomes. Various reduction techniques have been described ranging from closed reduction by traction table or closed reduction with minimal direct manipulation with instruments to direct open reduction. This manuscript describes the mini open reduction, Watson-Jones and Smith-Petersen approaches, and some modifications in terms of indications, advantages, and disadvantages of each approach for the decision-making in these complex fractures.
Rib Fractures: New Trend and Techniques in Fixation
Authors: Dehghan Niloofar
Published: April 2023

The Article Abstract is not available.
Scapular Fracture Open Reduction Internal Fixation: How to Approach?
Authors: Dehghan Niloofar
Published: April 2023

The Article Abstract is not available.
Association between Nontraditional Risk Factors and Calculated 10-Year Risk of Atherosclerotic Cardiovascular Disease in a Large General Population: Based on the Pars Cohort Study
Authors: Ghorashi Seyyed Mojtaba , Ahmadi Pooria , Nezhad Khalesi Reza Shahnazar , Fazeli Amir , Vardanjani Hossein Molavi , Salehi Alireza , Omidi Negar , Shams Mesbah , Babaei Amirhossein
Published: April 2023

Background: While the traditional risk factors of atherosclerotic cardiovascular disease (ASCVD) have been well-established, the evolving role of nontraditional risk factors is not apparent. This study aimed to evaluate the association between nontraditional risk factors and the calculated 10-year ASCVD risk in a general population.
Methods: This cross-sectional study was conducted using the Pars Cohort Study data. All inhabitants of the Valashahr district in southern Iran, aged 40–75 years, were invited (2012-2014). Patients with a history of cardiovascular disease (CVD) were excluded. The demographic and lifestyle data were collected using a validated questionnaire. Multinomial logistic regression analysis was used to evaluate the association between the calculated 10-year ASCVD risk and the nontraditional risk factors of CVD, including marital status, ethnicity, educational level, tobacco and opiate consumption, physical inactivity, and psychiatric disorders.
Results: Of 9264 participants (mean age =52.2±9.0 y; 45.8% male), 7152 patients met the inclusion criteria. In total, 20.2%, 7.6%, 36.3%, 56.4%, and 46.2% of the population were cigarette smokers, opiate consumers, tobacco consumers, ethnically Fars, and illiterate, respectively. The prevalence rates of low, borderline, and intermediate-to-high 10-year ASCVD risks were 74.3%, 9.8%, and 16.2%, respectively. In multinomial regression, anxiety (adjusted odds ratio [aOR], 0.58; P<0.001) was significantly associated with a lower ASCVD risk, whereas opiate consumption (aOR, 2.94; P<0.001) and illiteracy (aOR, 2.48; P<0.001) were significantly associated with a higher ASCVD risk.
Conclusion: Nontraditional risk factors are associated with the 10-year ASCVD risk and, thus, might be considered besides traditional ones for ASCVD in preventive medicine and health policies.
The Immediate Effects of Aerobic Exercise with and Without External Loads on Blood Glucose, Cardiovascular, Respiratory, and Body Temperature Indices in Type II Diabetic Patients
Authors: Naimi Sedigheh Sadat , Rahbar Soulmaz , Asadi Mohammad Reza , Radinmehr Hojjat , Talimkhani Ailin , Doosti-Irani Amin , Hajvalie Gholam-Reza
Published: April 2023

Background: The long-term effects of aerobic exercise on the cardiorespiratory system have been studied extensively. This study aimed to evaluate the effects of aerobic exercise with and without external loads on blood glucose, cardiovascular, respiratory, and body temperature indices in patients with type II diabetes.
Methods: The present randomized control trial recruited participants from the Diabetes Center of Hamadan University through advertisement. Thirty individuals were selected and divided into an aerobic exercise group and a weighted vest group via block randomization. The intervention protocol included aerobic exercise on the treadmill (0 slopes) with an intensity of 50% to 70% of the maximum heart rate. The exercise program for the weighted vest group was identical to that of the aerobic group, except that the subjects wore a weighted vest.
Results: The mean age of the study population was 46.77±5.11 years in the aerobic group and 48±5.95 years in the weighted vest group. After the intervention, blood glucose in the aerobic group (167.07±72.48 mg/dL; P<0.001) and the weighted vest group (167.75±61.53 mg/dL; P<0.001) was decreased. Additionally, resting heart rate (aerobic: 96.83±11.86 bpm and vest: 94.92±13.65 bpm) and body temperature (aerobic: 36.20±0.83 ℃ and vest: 35.48±0.46 ℃) were increased (P<0.001). Decreased systolic (aerobic: 117.92±19.27 mmHg and vest: 120.91±12.04 mmHg) and diastolic (aerobic: 77.38±7.54 mmHg and vest: 82.5±11.32 mmHg) blood pressure and increased respiration rate (aerobic: 23.07±5.45 breath/min and vest: 22±3.19 breath/min) were seen in both groups but were not statistically significant.
Conclusion: One aerobic exercise session with and without external loads reduced blood glucose levels and systolic and diastolic blood pressure in our 2 study groups.
Role of Surface Electrocardiography in Differentiation between Obstructive and Non-obstructive Hypertrophic Cardiomyopathy
Authors: Nourani Mahsa , Mirzaie Mehdi , Sadr-Ameli Mohammad Ali , Fazelifar Amirfarjam , Haghjoo Majid
Published: April 2023

Background: Electrocardiography (ECG), as an easily accessible modality, is usually helpful in hypertrophic cardiomyopathy (HCM) diagnosis. The purpose of this study was to evaluate the role of ECG in differentiating between obstructive (OHCM) and non-obstructive (NOHCM) HCM.
Methods: The present study is a cross-sectional analysis of HCM patients referred to our center between 2008 and 2017. The study variables included age, sex, clinical presentation, medications, and ECG characteristics including PR interval, QRS width, QTc duration, Tpeak-Tend interval, QRS axis, QRS transition, ventricular hypertrophies, atrial abnormalities, ST-T abnormalities, and abnormal Q waves.
Results: The HCM sample consisted of 200 patients (55% males; age 45.60±15.50 y) from our HCM database. We compared the clinical and ECG characteristics of 143 NOHCM patients with those of 57 OHCM patients. The OHCM group was significantly younger than the NOHCM group (age =41.7 vs 47.0 y; P=0.016). The initial clinical presentation was similar between the 2 forms (P>0.05), and palpitations were the dominant symptom. Baseline ECG intervals, including PR (155.6 vs 157.9 ms), QRS (82.5 vs 82.0 ms), and QTc (430.5 vs 433.0 ms), were similar (all Ps>0.050). There were no differences regarding baseline rhythm, atrial abnormalities, QRS transition, ventricular hypertrophies, axis changes, ST-T changes, and abnormal Q waves between the HCM groups (all Ps>0.05).
Conclusion: The present study showed that standard 12-lead ECG had no role in distinguishing patients with the obstructive and non-obstructive forms of HCM.
Comparison of Perceived Self-efficacy, Benefits, and Barriers of Hypertension Control between Male and Female Patients Referred to Rajaie Cardiovascular Medical and Research Center in Tehran
Authors: Solhi Mahnaz , Abbasi Zohreh , Rasouli Mahboobeh , Naderi Nasim
Published: April 2023

Background: Hypertension is a health problem. The purpose of the present study was to compare perceived self-efficacy, benefits, and barriers of hypertension control between male and female patients.
Methods: This cross-sectional study was carried out on 400 patients referred to Rajaie Cardiovascular Medical and Research Center in Tehran from August 2020 through March 2021. The convenience sampling method was used. The data collection tools consisted of a digital sphygmomanometer, a demographic form, and a researcher-made questionnaire of perceived benefits, barriers, and self-efficacy of hypertension control, whose validity and reliability were obtained.
Results: The mean age of the male and female patients was 54.02±12.93 years and 56.48±12.10 years, respectively. The mean score of perceived barriers in women was lower than that in men, and the mean perceived self-efficacy in women was higher than that in men (P<0.001). According to the regression test, history of smoking in men and family history of hypertension and age in women were predictors of perceived benefits. Further, occupation and history of smoking in men and education level, family history of hypertension, and history of smoking in women were predictors of perceived barriers. Additionally, marital status, education level, and disease duration in men and education level, family history of hypertension, history of smoking, and age in women were predictors of perceived self-efficacy (P<0.050).
Conclusion: In men, the mean score of perceived barriers was higher and the mean score of perceived self-efficacy was lower. Additionally, the predictors of each of these perceptions were determined.
The Long-term Response to Treatment with Calcium Channel Blockers in Patients with Idiopathic Pulmonary Arterial Hypertension
Authors: Kiani Azam , Omidvar Razieh , Naderi Nasim , Taghavi Sepideh , Mirtajaddini Marzieh
Published: April 2023

Background: Long-term outcomes in patients with idiopathic pulmonary arterial hypertension (IPAH) treated with calcium channel blockers (CCBs) are not well documented. Therefore, this study aimed to determine the long-term response to treatment with CCBs in patients with IPAH.
Methods: This retrospective cohort study was performed on 81 patients with IPAH admitted to our center. Vasoreactivity testing with adenosine was performed. Twenty-five patients showed a positive response and were included in the analysis.
Results: Of 24 patients, 20 (83.3%) were female, and the mean age of the patients was 45.90±10.42 years. Fifteen patients improved after 1 year on CCB therapy (the long-term CCB responders group), and 9 showed no improvement (the CCB failure group). The CCB responders group had a greater proportion of patients in the New York Heart Association (NYHA) functional class I or II (93.3%), a longer distance walked, and less severe hemodynamic parameters. At the 1-year evaluation, the long-term CCB responders showed more improvements in the mean 6-minute walk test result (437.43±125.32 vs 268.17±130.06; P=0.040), the mixed venous oxygen saturation level (71.84±9.87 vs 59.03±9.95; P=0.041), and the cardiac index (4.76±1.12 vs 3.15±0.90; P=0.012). Additionally, mPAP was lower in the long-term CCB responders group (47.35±12.70 vs 67.23±14.08; P=0.034).  Finally, all the CCB responders were in the NYHA functional class I or II (P=0.001).
Conclusion: Our study illustrated that long-term treatment with oral CCBs was effective in 60% of acute responders and 18.5% of the entire study population.
To Repair or Replace the Mitral Valve in Ehlers-Danlos Syndrome? A Case Report
Authors: Kavyani Raheleh , Salari Soheila , Norozi Zeinab , Hosseini Saeid , Maleki Majid
Published: April 2023

Cardiac valvular Ehlers–Danlos syndrome (EDS) (type IV) is a rare subtype of the syndrome. The progressive and severe involvement of the heart valves is the principal characteristic of cardiovascular EDS, hence the necessity of the screening of patients with EDS for possible cardiovascular complications.
We herein describe a 17-year-old male patient, with a known case of Ehlers–Danlos syndrome, who was referred to our center due to symptomatic severe mitral regurgitation. Echocardiography showed the flailing of the A3 scallop of the mitral valve (MV) and severe enlargement of the left ventricle and the left atrium with mild systolic dysfunction. A physical examination revealed joint hyperlaxity, skin hyperelasticity, and abdominal hernias. He was, therefore, scheduled for surgery. MV repair was performed via commissuroplasty and ring annuloplasty, with an acceptable saline test. After being weaned from cardiopulmonary bypass, the patient had mild mitral regurgitation, which escalated to moderate-to-severe mitral within minutes. Consequently, the MV was replaced with a bioprosthetic valve. The postoperative course was uneventful.
Due to the high fragility of the MV, any resection and sewing of its fragile leaflets may produce residual regurgitation and necessitate valve replacement. MV replacement may be more logical in such patients. Our patient’s postoperative course was uneventful, and he was discharged without symptoms. Over 1 and 3 months of follow-up, he remained asymptomatic, and transthoracic echocardiography showed a normal bioprosthetic MV without paravalvular leakage.
A Step-by-Step Approach to Reducing Work-Related Musculoskeletal Disorders in Echocardiographers
Authors: Behjati Mohaddeseh , Esfahani Sayed Shayan Naji , Tohidi Fatemeh
Published: April 2023

The Article Abstract is not available.
Buhara Halk Cumhuriyeti İlişkileri Bağlamında TBMM Hükümeti’nin Dış Politikasında Etnik Tutum ve Kamuoyu
Authors: AVŞAR Abdulhamit
Published: April 2023

20.yüzyılın ilk çeyreğinde Türk dünyasının iki ayrı bölgesinde yeni siyasal yapılanmalar ortaya çıktı. 23 Nisan 1920’de TBMM kurulurken, 6 Ekim 1920’de ise Buhara Halk Cumhuriyeti (BHC) ilan edildi. Bu bağlamda, TBMM’nin yaptığı ilk uluslararası antlaşmada BHC’nin tanınması öngörülürken, Burdur Milletvekili Soysallıoğlu İsmail Suphi de özel görevle bölgeye gönderildi. İsmail Suphi, Türkistan’da aralarında ihtilaf bulunan grupları bir araya getirme ve Türkistan Milli Birliği’nin kurulması için önemli faaliyetlerde bulundu. BHC de, Türkiye ile siyasal ilişki kurmaya verdi ve 1921 sonunda bir diplomatik heyet göndererek Ankara’dan sefir tayin edilmesi talebinde bulundu. Çalışmada, bu iki önemli gelişme ekseninde, TBMM’nin Buhara Halk Cumhuriyeti’ne yönelik dış politikasında etnik bilincin rolü ve yaşanan olayların kamuoyu oluşumuna etkisi, dönem basını ve kamuoyu inşa edici aktörlerin faaliyetleri ekseninde incelenmiş; aynı ulus olma bilincinin TBMM Hükümeti’nin politikasını etkileyen önemli bir etken olduğu ortaya konulmuştur. Ayrıca kamuoyu inşa edici aktörlerin ve basının tutumunun Türkistan Türklerine yönelik olumlu bir kamuoyu oluşumuna katkıda bulunduğu görülmüştür.
Estimation of Single Crop Coefficient and Crop Evapotranspiration Using Remote Sensing for Irrigation Management
Authors: Suhardi - , Marhaenanto Bambang , Mulyo Aji Joni Murti
Published: April 2023

Indonesia has rainy and dry seasons sequentially from April to October and October to March. In the dry season, water availability in the soil gradually decreases, especially from June to October, when the peak of drought occurs, causing many agricultural lands to be left uncultivated. However, a small portion of agricultural land can still be planted for crops such as maize and groundnut. However, limited water availability causes crop growth to be disrupted because the amount of water absorbed by crop roots is less than the amount of evapotranspiration water. Therefore, an accurate evapotranspiration estimation technique is needed to make the water supply efficient. This study aims to evaluate the reliability of the technique of estimating crop coefficient (Kc) of maize and groundnut and temperature at the research location. A linear relationship between the Normalized Difference Vegetation Index (NDVI) from sentinel two imagery and Kc-FAO was used to estimate Kc. Meanwhile, a linear relationship between LST from Landsat 8 imagery and the results of interpolating temperature data from 4 climatological stations were used to estimate the temperature at the research site. The results of estimation showed that Kc of maize and groundnut were very accurate with the determinant coefficients (R2) respectively 0.8791 and 0.9352. This is similar to the results of the temperature estimation of the research location, showing a very accurate R2 is 0.9073. The results of this study are expected to be used for future research to improve water crop management.
A Mobile Palmprint Authentication System Using a Modified MNT Algorithm, Circular Local Binary Pattern, and CNN (mobileNet)
Authors: Adeniyi Jide Kehinde , Oladele Tinuke Omolewa , Adebiyi Ayodele , Adebiyi Marion , Adeniyi Tunde Taiwo
Published: April 2023

A few approaches have been proposed for hand segmentation in palmprint recognition. Skin-color information does not process sufficient information for discrimination in complex backgrounds and variable illumination. The use of guides has also been proposed, which restricts hand placement during capturing. Contour tracing algorithms have also been proposed in the literature. This worked in an even background scenario with no objects or patterns around the hand. In the case of uneven background with objects present, the traditional contour tracing algorithm cannot accurately segment the hand from the background. Hence, this paper proposes a modified Moore Neighbor Tracing (MNT) algorithm for hand detection and key-point extraction in complex backgrounds. The hand image is converted to grey, and the edges in the hand image are detected. The modified algorithm then transverses selected edges and returns the peak and valleys of each finger. This is then used to crop the palm. The modified algorithm improves the accuracy of hand detection in complex backgrounds with an F-Score of 0.8657. A mobile palmprint biometric system was also presented using Circular Local Binary Pattern (CLBP) and Convolutional Neural Network (CNN). The system showed an accuracy of 98.3% for hands captured with the mobile device and the CASIA online database. An accuracy of 99.0% was also recorded for GPDS and PolyU online databases.
Strategy in Developing Microfinance Institution to Support Beef Cattle Farming Business in Rural Areas
Authors: Asnawi Aslina , Amrawaty A.Amidah , Nirwana -
Published: April 2023

Microfinance Institution (MFIs) as informal financing institution has a big role in supporting the farmers' access to finance. This research was conducted to analyze the strategy for developing MFIs to support beef cattle farming. The instrument employed was a questionnaire delivered through a google form. In addition to questionnaires, interviews were also performed directly with key informants. Furthermore, FGDs and online seminars were conducted to formulate strategies for developing MFIs which were attended by stakeholders, including relevant government agencies, the Head of the Agricultural Extension Center, the Head and members of Gapoktan, extension workers, farmers, and academics representations. Data were analyzed using descriptive statistics and a SWOT matrix. QSPM analysis was also performed to analyze the priority strategy. The results revealed that MFI's have several strengths and weaknesses both from internal and external sources, particularly the opportunities and threats. The strategy formulated becomes a priority, which is to improve the role and position of MFIs in alleviating poverty and as informal financing institutions. The MFI's position is strong because it is easily accessible, has simple procedures, does not require collateral, and is located in a rural area. The strategy that should be applied is increasing the role of members with psychological and demographic relationships and the spirit of mutual cooperation still owned by rural communities. The sustainability of MFIs can support the development of beef cattle farming and help grow rural economies.
Integration of Adaptive Collaborative Learning Process in a Hybrid Learning Environment
Authors: Lhafra Fatima Zohra , Abdoun Otman
Published: April 2023

Technology integration has been crucial in the practice of the learning process. The use of technology aims to find effective solutions to traditional learning problems. Despite the enormous efforts adopted, using e-learning systems was optional in many education systems. However, the COVID-19 health crisis has shown the importance of the transition to e-learning to ensure pedagogical continuity. According to several studies that have measured the impact of COVID-19 on education systems and the adopted solutions, blended learning represents an effective solution for combining the advantages of face-to-face and distance learning. But the implementation strategies regarding this mode of learning are still limited. For this purpose, we propose a hybrid learning model based on collaborative work through an intelligent assignment of learner roles. This approach aims to support adaptive learning via a hybrid learning environment. The proposed solution is based mainly on collaborative work as an active learning method, using the NaÃ¯ve Bayes algorithm and Belbin theory. The usefulness of collaborative work is to keep the learning rhythm between face-to-face and distance learning and to encourage learners' engagement and motivation through this mode of learning. According to Belbin's theory, the results of this work propose an adequate role for each learner. This intelligent assignment leads the learner to live the learning situation and not undergo it.
Hybrid Centralized Peer to Peer Architecture for Resource Discovery and Secure Communication in Internet of Things
Authors: Bhajantri Lokesh B. , S Gangadharaiah
Published: April 2023

The Internet of Things (IoT) made communication between people and objects easy. It helps to build smart cities, homes, manufacturing systems, health monitoring systems, etc., for mankind. The increased adoption of IoT applications enabled many smart devices on the Internet platform. These devices deployed across the globe may have varying computational and communication capabilities. It is a great challenge to manage IoT resources efficiently. Some of well-known protocols are defined to identify and access IoT resources locally in a real-world environment. Many authors have adopted the Distributed Hash Table (D.H.T.) based Peer to Peer (P2P) model for global and massive resource management. However, D.H.T. based solutions have many shortcomings and are not perfectly suitable for the IoT domain. In this paper, it has been proposed a novel Hybrid Centralized Peer to Peer (HCP2P) architecture for efficient resource discovery and access mechanism. The proposed solution builds a secure communication channel among trusted peer devices with the aid of an HCP2P server. The trusted devices can discover and access the required resource efficiently and securely with reduced load on the central server. The proposed HCP2P solutions are evaluated on both hardware prototypes and simulations. The proposed model gives almost constant resource registration, discovery, and access time. This evaluation showed that HCP2P architecture performance is superior to traditional DHT-based P2P architecture. Finally, the performance parameters of the proposed scheme are evaluated in terms of resource registration time, discovery time, and hop-count.
Intelligent Decision Support System for Supply Chain Risk Management Process (SCRMP) with COBIT 5 in Furniture Industry
Authors: Andry Johanes Fernandes , Hadiyanto - , Gunawan Vincensius
Published: April 2023

Sustainable supply chain management can be a new strategy in the industry, especially in the furniture sector. In its implementation, different sources of risk factors emerge because the nature of the supply chain is too complex, causing supply and demand uncertainty for production. The furniture industry needs to implement supply chain risk management to overcome problems and cause a loss of trust from customers. This study aims to identify and manage supply chain risks in the furniture industry using the Supply Chain Risk Management Process (SCRMP) and COBIT 5 methods. After identifying the risk, the risk impact measurement uses the COBIT 5 method with the Deliver, Service, and Support (DSS) domain implemented into the decision support system. To find out changes after system implementation, the author conducts a risk assessment according to the COBIT 5 standard and evaluates the possibility of a risk occurring. The result of this study is a mapping of the handling of negative scenarios of risk after implementing the system that includes governance standards and input data to produce output documentation. Documents are applied to the decision support system to reduce risks in the supply chain. The SCRMP and COBIT 5 methods can manage supply chain risk more effectively. It guides the risk assessment area and provides information technology governance to the system. The implication of future research is to define standard operating procedure documentation for the application of decision support systems in all divisions of the furniture industry.
Evaluating Retrofitting Strategies of Low-to-Mid-Rise Reinforced Concrete Structure Based on Its Seismic Fragility
Authors: Rahma Midia , Sangadji Senot , Virawan Zikra Fauzan , Saifullah Halwan Alfisa , Devi Rida Handiana
Published: April 2023

In earthquake-prone regions such as Indonesia, this situation has drawn public attention and led to difficulties in implementing certain policies and decision-making. One of the challenging issues in seismic risk reduction is evaluating the efficacy of seismic retrofitting the existing low-to-mid reinforced concrete building. Therefore, this research evaluates the retrofitting of low-to-mid-rise reinforced concrete structures to evaluate the efficacy of the retrofitting strategy rationally using Fiber Reinforced Plastic (FRP), Buckling Restrained Braced Frame (BRBF), and shear wall strategies. Rusunawa at Cilacap, a mid-rise RC apartment for low-income people, was selected as a benchmark building to compare existing and retrofitted seismic fragility. Furthermore, a 3D computer model was developed to predict the seismic response of the structure using a nonlinear static (pushover) analysis. The pushover method produces a capacity curve, showing that the unreinforced structure has a maximum base shear value of 15.2x103 kN. While the reinforcement of low to medium rise reinforced concrete structures using the Fiber Reinforced Plastic strategy has a maximum base shear value of 15.3x103 kN, then reinforcement using the Buckling Restrained Braced Frame strategy with a maximum base shear value of 16.2x103 kN. The shear wall reinforcement has a value maximum base shear of 19.7x103 kN. The capacity curves as the analysis outputs were then converted into the fragility and used to rationalize the probabilistic value of the damage states between existing and retrofitted buildings.
XGBoost Classifier for DDOS Attack Detection in Software Defined Network Using sFlow Protocol
Authors: Rozam Nadhir Fachrul , Riasetiawan Mardhani
Published: April 2023

From a security perspective, Software Defined Network (SDN) separates security concerns into Control Plane and Data Plane. The Control Plane is responsible for managing the entire network centrally. Centralized SDN generates high vulnerability against the Distributed Denial of Service (DDOS). When the Software Defined Network overwhelms by DDOS, both Control Plane and Data Plane will lack resources. It can cause the SDN to fail to work if not detected early. Using the ability of sFlow Protocol to capture the flow traffic in real time, the data could be used to detect DDOS attacks. This sFlow sampling approach can reduce the workload of the network by lower down the processing in switches. This paper uses Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), and Random Forest as detection methods. We use ONOS as SDN Controller and build the topology in GNS3. Prometheus retrieves data from the sFlow Collector as a time series database. The classifier then uses the data from Prometheus for DDOS detection. For the dataset, we use four different datasets. Datasets 1 and 2 consist of 6109 data, each divided into two classes and three classes. Datasets 3 and 4 consist of 400488 data divided into 2 and 3 classes, respectively. The evaluation results have proved the effectiveness of the proposed method. XGBoost has the highest accuracy of another algorithm. The best accuracy is 99.84% using Dataset 4 as the training set.
Forecasting the Currency Rate of The Indonesian Rupiah (IDR) against the US Dollar (USD) Using Time Series Data and Indonesian Fundamental Data
Authors: Moonlight Lady Silk , Harianto Bambang Bagus , Suprapto Yuyun , Faizah Fiqqih
Published: April 2023

In forecasting foreign currencies, or known as foreign exchange, fundamental analysis and technical analysis can be used. Fundamental analysis relies on external factors or news happening in the market. In comparison, technical analysis studies the price itself by relying on graphs and mathematical formulas. This study combines fundamental value and technical analysis to predict the Rupiah (IDR) against the Dollar (USD). In this study, the artificial neural network architecture that is compared is Backpropagation and Recurrent Neural Networks (RNN). The RNN architecture used in this research is Elman and Jordan with Backpropagation Through Time (BPTT) learning algorithm. Technical analysis is applied by entering the USD exchange rate against IDR at a certain time. At the same time, fundamental analysis is applied in the form of entering some data on the value of fundamental factors as a training data set. Fundamental data used in this research are inflation rate, interest rate, money supply, and the number of exports and imports in Rupiah. In this study, the prediction system is also compared, the prediction system uses technical data, and the prediction system uses technical and fundamental data. This research results in the prediction system using the Elman RNN algorithm, which is better than the Backpropagation and Jordan RNN algorithms. A prediction system using training data in time series and fundamental data is better than only training data. So, it means in this study that the best prediction system uses the Elman RNN Algorithm with training data in the form of time series data USD sell exchange rate against IDR and fundamental data.
Differences in Information Security Behavior of Smartphone Users in Indonesia Using Pearsonâ€™s Chi-square and Post Hoc Test
Authors: Candiwan - , Sudirman Bella Pertiwi , Sari Puspita Kencana
Published: April 2023

The risk of data theft is still a negative impact of smartphone technology development that harms its users. One cause of data theft is information security behavior. Therefore, this study was conducted to determine information security behavior and its differences among smartphone users in Indonesia based on the demographic variables (i.e., gender, generation, educational background, and operating system) and four approaches, namely Avoiding Harmful Behavior, Settings, and Add-on Utilities, Preventive Behavior, and Disaster/Data Recovery. The data obtained from 400 respondents were processed using Pearson's chi-square and post hoc tests. The results showed that there are significant differences between the demographic variables and approaches. It was revealed that men behave better than women in terms of adopting settings and add-on utilities, preventive behavior, and disaster/data recovery. On the other hand, men tend to have riskier behavior than women in avoiding harmful behavior. Based on generation, it was found that Generation Z exhibits more secure behavior than Generation Y in terms of settings and add-on utilities regarding remote device locking. Meanwhile, Generation Z has better behavior than Generations X and Y in preventive behavior as they uninstall/remove unused applications. Furthermore, undergraduate users behave better than high schoolers in avoiding harmful behaviors such as sharing PIN/passwords. Lastly, iOS users were found to have better data recovery behavior than Android users in automatically backing up data in the cloud. These results can be considered when designing security education, training, and awareness programs to improve information security.
Identification of Alzheimerâ€™s Disease Using Novel Dual Decomposition Technique and Machine Learning Algorithms from EEG Signals
Authors: Puri Digambar , Nalbalwar Sanjay , Nandgaonkar Anil , Rajput Jaswantsing , Wagh Abhay
Published: April 2023

Alzheimerâ€™s disease (AD) is one of the neurodegenerative disorders. The rate of AD prevalence is rapidly increasing worldwide. The existing clinical invasive methods and neuro-imaging techniques to detect AD are time-consuming, subjective, and expensive. To overcome these issues, we proposed a new automatic framework for detecting AD at an early stage based on the dual decomposition method. Initially, EEG signals of mild cognitive impairment (MCI), AD, and normal control (NC) patients are divided into five subbands by employing discrete wavelet transform (DWT). Subsequently, a Variational mode decomposition (VMD) is applied to these five EEG subbands for further decomposition into various intrinsic mode functions (IMFs). Afterward, three different multiscale permutation entropy (PE) features, namely Shannon PE (SPE), Tsalliâ€™s PE (TPE), and Renyi PE (RPE), have been measured from each IMF. Later, these features have been used to train and test ensemble bagged tree (EBT), k-nearest neighbor, support vector machine (SVM), decision tree (DT), and neural networks with a 10-fold cross-validation scheme. The proposed method has been verified using EEG signals of 59-AD, 7-MCI, and 102-NC subjects. The results obtained from the proposed DWT-VMD method provide 95.20% accuracy for three-class and 97.70% for two-class classification using an EBT classifier with 10-fold cross-validation. It shows a significant ability to distinguish AD from MCI. The proposed dual decomposition method can employ for other neurodegenerative disorders such as Parkinsonâ€™s disease, epilepsy, various sleep disorders, and major depressive disorders.
Performance of ShuffleNet and VGG-19 Architectural Classification Models for Face Recognition in Autistic Children
Authors: Melinda Melinda , Oktiana Maulisa , Nurdin Yudha , Pujiati Indah , Irhamsyah Muhammad , Basir Nurlida
Published: April 2023

This study discusses the face recognition of children with special needs, especially those with autism. Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that affects social skills, ways of interacting, and communication disorders. Facial recognition in autistic children is needed to help detect autism quickly to minimize the risk of further complications. There is extraordinarily little research on facial recognition of autistic children, and the resulting system is not fully accurate. This research proposes using the Convolution Neural Network (CNN) model using two architectures: ShuffleNet, which uses randomization channels, and Visual Geometry Group (VGG)-19, which has 19 layers for the classification process. The research object used in the face recognition system is secondary data obtained through the Kaggle site with a total of 2,940 image data consisting of images of autism and non-autism. The faces of autistic children are visually difficult to distinguish from those of normal children. Therefore, this system was built to recognize the faces of people with autism. The method used in this research is applying the CNN model to autism face recognition through images by comparing two architectures to see their best performance. Autism and non-autism data are grouped into training data, 2,540, and test data, as much as 300. In the training stage, the data was validated using validation data consisting of 50 autism image data and 50 non-autism image data. The experimental results show that the VGG-19 has high accuracy at 98%, while ShuffleNet is 88%.