bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification of Maize Leaf Diseases Based On AlexNet and ResNet50 Convolutional Neural Networks
Authors: Micheni Maurice , Birithia Rael , Mugambi Cyrus , Too Boaz , Kinyua Margaret
Published: August 2023

Maize crop protection is crucial for global food security, requiring accurate disease identification. In Kenya, farmers rely on subjective visual analysis of symptomatic leaves, which is time-consuming and prone to errors. Computer vision technologies, like deep learning and machine learning, offer promising solutions for disease identification. This study applies Convolutional Neural Networks (CNNs), specifically AlexNet and ResNet-50, to automatically learn image features and enhance speed and accuracy in maize leaf disease identification. A dataset of 3200 digital maize leaf disease images from Embu County is used for training and testing. AlexNet achieved the highest average accuracy of 98.3%, followed by ResNet-50 at 96.6%. The machine learning, support vector machine (SVM) exhibited the lowest average accuracy of 85.5%. These findings highlight the significance of utilizing AlexNet and ResNet-50 in maize leaf disease identification and classification.
Fake News Detection Using Machine Learning
Authors: Mohammed Amin Pshko
Published: August 2023

Today one of the fattest environments for opinion exchanging is the internet. Individuals can share their data or post any news they want through social media platforms. these data sharing platforms do not verify the users or the data and information they post. so, some users can share fake or untrusted data through these platforms on the Internet. Fake news is described as a propaganda tool against any Individual, society, government, or political party. Humans cannot detect and understand all the fake news or data through these online platforms. In this study, the challenge has been defined through a Machine learning concept. machine learning classification was applied to the dataset. Finally, a comparison of the working of these classifiers is presented along with the results, Decision Tree and Support Vector Machine classification models are performing well.
Support Vector Machine untuk Analisis Sentimen Masyarakat Terhadap Penggunaan Antibiotik di Indonesia
Authors: Darwis Herdianti , Wanaspati Nugraha , Anraeni Siska
Published: August 2023

Peningkatan penggunaan antibiotik secara global termasuk di Indonesia, seringkali irasional dan tanpa resep berpotensi menyebabkan resistensi bakteri. Analisis sentimen data Twitter menggunakan query "antibiotik" dapat membantu mengungkap opini publik. Penelitian ini bertujuan untuk menerapkan algoritma Support Vector Machine (SVM) dengan kernel linear, RBF, dan polynomial, menggabungkan berbagai metode seperti pelabelan dengan RoBERTa, pelatihan dengan 5 cross validation, dan tokenizing bigram. Tiga skenario digunakan  dalam penelitian ini dan yang menghasilkan nilai akurasi tertinggi yaitu skenario ketiga yang menggunakan slangword dari ramaprakoso dan stopword dari sastrawi sebagai refrensi library untuk filtering, nilai setiap kernel: akurasi 99,88%, presisi 99,88%, recall 99,88%, dan f1 score 99,88%. Metode SMOTE juga mempengaruhi hasil ini. Dari hasil pengujian, dapat disimpulkan bahwa SVM efektif untuk analisis sentimen.
Analisis Random Forest Menggunakan Principal Component Analysis Pada Data Berdimensi Tinggi
Authors: Diba Farah , Lydia Maya Silvi , Sihombing Poltak
Published: August 2023

Data yang memiliki dimensi tinggi membutuhkan metode machine learning yang mampu bekerja lebih cepat dan efektif dalam proses klasifikasi. Salah satu algoritma yang mampu menangani data kompleks adalah Random Forest. Random Forest bekerja dengan membangun beberapa decision tree secara random sebagai acuan feature selection. Namun, data berdimensi tinggi membutuhkan ruang penyimpanan yang lebih besar sehingga mengakibatkan lamanya proses komputasi. Oleh karena itu, Principal Component Analysis merupakan salah satu metode reduksi dimensi dalam merepresentasikan data berdimensi tinggi. PCA akan membentuk beberapa Principal Component yang mengandung informasi penting dari data asli. Dataset yang digunakan pada penelitian ini bersumber dari kaggle repository terdiri atas 26 atribut dan 129880 intances. Hasil dari penelitian ini RF dengan dengan n_estimators = 7 setelah direduksi PCA memiliki akurasi terbaik yaitu 90,13% pada data water quality.. Hal ini membuktikan bahwa PCA mampu mereduksi dimensi dengan membentuk pohon n_estimators sebanyak 7.
Perbandingan Performa Algoritma Decision Tree untuk Klasifikasi Penerima Beasiswa Bank Indonesia
Authors: Dimas Bayu Stiawan  , Nugroho Yusuf Sulistyo
Published: August 2023

Beasiswa dapat diartikan bantuan yang bisa digunakan sebagai biaya penunjang pendidikan, diberikan oleh institusi/lembaga. Pelaksanaan seleksi mahasiswa yang berhak menerima beasiswa didasarkan pada syarat/ketentuan lembaga pemberi beasiswa. Klasifikasi kandidat yang dilakukan dengan Excel menyebabkan sasaran penerima beasiswa kurang tepat karena tidak konsisten disebabkan unsur subjektivitas. Penelitian ini bertujuan menggunakan algoritma Decision Tree ID3, C4.5, serta CART dalam melakukan perbandingan Penerimaan Beasiswa BI untuk melihat algoritma yang memiliki performa terbaik. Penelitian ini menggunakan data sebanyak 398 pendaftar Beasiswa Bank Indonesia tahun 2022 yang diperoleh dari Biro Kemahasiswaan UMS. Hasil evaluasi kinerja ketiga algoritma menunjukkan CART mencapai hasil tertinggi dalam accuracy, precision, dan recall, masing-masing 72%, 92,59%, dan 74,62%. Selanjutnya C4.5 memiliki nilai accuracy, precision, dan recall, masing-masing sebesar 69,33%, 92,30%, dan 71,64%. ID3 memiliki performa terendah, dengan accuracy, precision, dan recall berturutan 68%, 92,15%, dan 70,14%.
Comparative Analysis Between Naïve Bayes Algorithm and Decision Tree Loss Rate from Fire Disaster Data in DKI Jakarta Province
Authors: Cuatanto Ricardo , Sutomo Rudi
Published: August 2023

In urban locations like DKI Jakarta Province, fire poses a severe concern. Understanding the trends and variables that affect fire risk requires analysis of fire incidence data. To assess fire data in the DKI Jakarta Province, the method uses the Decision Tree and Nave Bayes algorithms. The Decision Tree identifies the primary causes of fires, whereas Naive Bayes forecasts fire risk using weather and historical data. These two algorithms' combined outputs offer a thorough understanding of the features and causes of a fire. By educating authorities and the public on how to manage this risk, this research helps to improve fire mitigation techniques. The safety and readiness for fire disasters in this area should increase. The accuracy of the two predictions made by the Naive Bayes algorithm is 75%. In contrast, the accuracy of the Decision Tree algorithm is 78%, leading to the conclusion that the Decision Tree approach is more helpful in categorizing the severity of fire disaster losses.
Geldwäscheprävention
Authors: Murko Gernot , Nunner-Krautgasser Bettina
Published: August 2023

Brennpunkt Geldwäsche: praktischer Leitfaden zur Vermeidung hoher Geldstrafen Geldwäsche ist ein Thema, das seit geraumer Zeit über seine strafrechtliche Komponente hinaus vor allem für die rechts- und wirtschaftsberatenden Berufe von enormer praktischer Bedeutung ist. Die unionsrechtlichen Vorgaben verpflichten den österreichischen Gesetzgeber, strenge Präventionsbestimmungen insbesondere für die Rechtsanwaltschaft, das Notariat und die Wirtschaftstreuhandberufe zu normieren. Die Einhaltung dieser Sorgfaltspflichten bedingt erhebliche Eingriffe in die Treue- und Verschwiegenheitspflicht der Normadressaten, die Nichteinhaltung kann hingegen Geldstrafen in der Höhe von bis zu einer Million Euro nach sich ziehen. Gernot Murko und Bettina Nunner-Krautgasser rücken die wissenschaftliche Erforschung dieser höchst brisanten Querschnittsmaterie aus Europa-, Straf- und Berufsrecht in den Fokus des Grazer Forschungszentrums für Berufsrecht (ZBR). Den Anfang hierfür bildete die Kick-Off-Veranstaltung des Zentrums zum Thema Geldwäsche, für die Vortragende aus unterschiedlichen Bereichen der rechtsberatenden Praxis sowie des universitären Bereichs gewonnen werden konnten. Der vorliegende Band enthält die Vorträge eben jener Geldwäsche-Expert*innen und stellt damit einen idealen Leitfaden für Praktiker*innen dar.
Quantification of cyclin D1 and D2 proteins in multiple myeloma identifies different expression patterns from those revealed by gene expression profiling
Authors: Cardona-Benavides Ignacio J. , Misiewicz-Krzeminska Irena , Rojas Elizabeta A. , De Ramón Cristina , Sanz-Solas Antonio , Isidro Isabel , Quwaider Dalia , López-Guerrero Aida M. , Cuadrado Myriam , Calasanz María-José , Rosiñol Laura , Martínez-López Joaquín , San Miguel Jesús F. , Mateos María-Victoria , Corchete Luis A. , Gutiérrez Norma C.
Published: August 2023

Upregulation of a cyclin D gene determined by expression microarrays is an almost universal event in multiple myeloma (MM), but this finding has not been properly confirmed at the protein level. For this reason, we carried out a quantitative analysis of cyclin D proteins using a capillary electrophoresis nanoimmunoassay in newly diagnosed MM patients. Exclusive expression of cyclin D1 and D2 proteins was detected in 54 of 165 (33%) and 30 of 165 (18%) of the MM patients, respectively. Of note, cyclin D1 or D2 proteins were undetectable in 41% of the samples. High levels of cyclin D1 protein were strongly associated with the presence of t(11;14) or 11q gains. Cyclin D2 protein was detected in all the cases bearing t(14;16), but in only 24% of patients with t(4;14). The presence of cyclin D2 was associated with shorter overall survival (hazard ratio =2.14; P=0.017), although patients expressing cyclin D2 protein, but without 1q gains, had a favorable prognosis. In conclusion, although one of the cyclins D is overexpressed at the mRNA level in almost all MM patients, in approximately half of the patients this does not translate into detectable protein. This suggests that cyclins D could not play an oncogenic role in a proportion of patients with MM (clinicaltrials gov. identifier: NCT01916252).
Tafasitamab for patients with relapsed or refractory diffuse large B-cell lymphoma: final 5-year efficacy and safety findings in the phase II L-MIND study
Authors: Duell Johannes , Abrisqueta Pau , Andre Marc , Gaidano Gianluca , Gonzales-Barca Eva , Jurczak Wojciech , Kalakonda Nagesh , Liberati Anna Marina , Maddocks Kami J , Menne Tobias , Nagy Zsolt , Tournilhac Olivier , Kuffer Christian , Bakuli Abhishek , Amin Aasim , Gurbanov Konstantin , Salles Gilles
Published: August 2023

Tafasitamab, an anti-CD19 immunotherapy, is used with lenalidomide for patients with autologous stem cell transplant-ineligible relapsed/refractory diffuse large B-cell lymphoma based on the results of the phase II L-MIND study (NCT02399085). We report the final 5-year analysis of this study. Eighty patients ≥18 years who had received one to three prior systemic therapies, and had Eastern Cooperative Oncology Group performance status 0-2 received up to 12 cycles of co-administered tafasitamab and lenalidomide, followed by tafasitamab monotherapy until disease progression or unacceptable toxicity. The primary endpoint was the best objective response rate. Secondary endpoints included duration of response, progression-free survival, overall survival, and safety. Exploratory analyses evaluated efficacy endpoints by prior lines of therapy. At data cutoff on November 14, 2022, the objective response rate was 57.5%, with a complete response rate of 41.3% (n=33), which was consistent with prior analyses. With a median follow-up of 44.0 months, the median duration of response was not reached. The median progression-free survival was 11.6 months (95% confidence interval [95% CI]: 5.7-45.7) with a median follow-up of 45.6 months. The median overall survival was 33.5 months (95% CI: 18.3-not reached) with a median follow-up of 65.6 months. Patients who had received one prior line of therapy (n=40) showed a higher objective response rate (67.5%; 52.5% complete responses) compared to patients who had received two or more prior lines of therapy (n=40; 47.5%; 30% complete responses), but the median duration of response was not reached in either subgroup. Other exploratory analyses revealed consistent long-term efficacy results across subgroups. Adverse events were consistent with those described in previous reports, were manageable, and their frequency decreased during tafasitamab monotherapy, with no new safety concerns. This final 5-year analysis of L-MIND demonstrates that the immunotherapy combination of tafasitamab and lenalidomide is well tolerated and has long-term clinical benefit with durable responses.
ANCHOR: melflufen plus dexamethasone and daratumumab or bortezomib in relapsed/refractory multiple myeloma: final results of a phase I/IIa study
Authors: Ocio Enrique M. , Efebera Yvonne A. , Hájek Roman , Straub Jan , Maisnar Vladimir , Eveillard Jean-Richard , Karlin Lionel , Mateos María-Victoria , Oriol Albert , Ribrag Vincent , Richardson Paul G. , Norin Stefan , Obermüller Jakob , Bakker Nicolaas A. , Pour Luděk
Published: August 2023

Melphalan flufenamide (melflufen), a first-in-class, alkylating peptide-drug conjugate, demonstrated clinical benefit in combination with dexamethasone in triple-class refractory multiple myeloma (MM). The phase I/IIa ANCHOR study evaluated melflufen (30 or 40 mg) and dexamethasone (40 mg with daratumumab; 20 mg followed by 40 mg with bortezomib; dose reduced if aged ≥75 years) in triplet combination with daratumumab (16 mg/kg; daratumumab arm) or bortezomib (1.3 mg/m2; bortezomib arm) in patients with relapsed/refractory MM refractory to an immunomodulatory agent and/or a proteasome inhibitor and who had received one to four prior lines of therapy. Primary objectives were to determine the optimal dose of melflufen in triplet combination (phase I) and overall response rate (phase IIa). In total, 33 patients were treated in the daratumumab arm and 23 patients received therapy in the bortezomib arm. No dose-limiting toxicities were reported at either melflufen dose level with either combination. With both triplet regimens, the most common grade ≥3 treatment-emergent adverse events were thrombocytopenia and neutropenia; thrombocytopenia was the most common treatment-emergent adverse event leading to treatment discontinuation. In the daratumumab arm, patients receiving melflufen 30 mg remained on treatment longer than those receiving the 40-mg dose. In the daratumumab arm, the overall response rate was 73% and median progression-free survival was 12.9 months. Notably, in the bortezomib arm, the overall response rate was 78% and median progression-free survival was 14.7 months. Considering the totality of the data, melflufen 30 mg was established as the recommended dose for use with dexamethasone and daratumumab or bortezomib for future studies in relapsed/refractory MM.
ANALISIS STRUKTUR VEGETASI PADA HABITAT KUPU-KUPU Papilio ulysses DI PULAU KASIRUTA
Authors: Ahmad Hasnah , Roini Chumidach , Ahsan Sarmi
Published: August 2023

Vegetasi merupakanÂ  kumpulan tumbuh-tumbuhan Â yang terdiri dari berbagai macam jenis dan hidup bersama-sama pada suatu tempat. Dalam mekanisme kehidupan bersama tersebut Â terdapat Â interaksi Â yang Â erat, Â baik Â diantaraÂ  sesamaÂ  individu penyusun Â vegetasi maupun dengan organisme lainnya sehingga merupakan suatu sistem yang hidup dan tumbuh serta dinamis. Penelitian ini bertujuan untuk mengetahui struktur vegetasi pada habitatÂ  kupu-kupu Papilio Â ulysses. Â Objek Â yang digunakan Â dalam Â penelitianÂ  ini Â yaituÂ  seluruhÂ  vegetasi Â yang teramati pada habitat kupu-kupu Papilio ulysses dan Pengumpulan data vegetasi dilakukan dengan metode plot, data vegetasi yang di ambil meliputi vegetasi tingkat semai, pancang, tiang, danÂ  pohon. Dari hasil penelitian berdasarkan struktur vegetasi pada habitat kupu-kupu Papilio ulysses di desa Kakupang dan desa Doko, ditemukan 16Â  Â jenis tumbuhan yangÂ Â  tergolong dalam 12 family. Tumbuhan yang termasuk dalam family Piperaceae yaitu Piper aduncum L, yang tergolong kedalam family anacardium yaitu Dracontomelum Merr, jenis Somoloae sp dan Mangifera indica, yang tergolong family Rubiaceae yaitu Musaeda sp, yang tergolong Bytneriaceae yaitu Theobroma cacao, yang tergolong family Meliaceae yaitu Lansium parasiticum, family Verbenaceae yaitu Gmelina arborea, family Burseraceae yaitu Canarium commune L, family hamaliumceae yaitu Homalium foetidum, family Moraceae yaitu Ficus benjamina, family Sapindaceae yaitu Nephilium lappaceum dan yang tergolong dalam family Denstaedtiaceae yaitu Orthioptheris sp, family Poaceae yaitu Pogonatherum crinitum, Penisetum purpureum, Ischaemum muticum, dan Imperata arundinaceae.
THE IMPLEMENTATION OF NETWORK SERVER SECURITY SYSTEM USING HONEYPOT
Authors: Faldi Faldi , Romadoni Dinamita , Sumadi Muhammad T
Published: August 2023

Network Server security is an important aspect of ensuring the integrity and availability of information systems. This research aims to implement network Server security at Muhammadiyah University of East Kalimantan using Honeypot technology. Honeypots are used to attract the attention of attacks and monitor suspicious activities on the network. The research method used is NDLC (Network Development Life Cycle), which includes the design and implementation of Honeypots, as well as the collection and analysis of detected attack data. The research results show that by using three attack techniques, namely Slowloris attack with a Honeypot processing time of 2 seconds and Snort processing time of 180 seconds, GoldenEye attack with a Honeypot processing time of 2 seconds and Snort processing time of 180 seconds, and LOIC tools with a Snort processing time of 180 seconds. Honeypots cannot identify DDoS attacks because they focus more on attacks such as penetration attempts or other suspicious activities.
Elevated interleukin-10 levels in patients with ocular toxoplasmosis
Authors: Kim Gee-Hyun , Kwak Jae Hyuck , Park Young-Hoon
Published: August 2023

In elderly patients, ocular toxoplasmosis is one of the most common etiologies of uveitis, which should be differentially diagnosed from ocular lymphoma, another common pathology of uveitis in older adults. The high level of interleukin (IL)-10 and an IL-10/IL-6 ratio higher than 1 (>1.0) are helpful parameters to diagnose ocular lymphoma. In this study, we used aqueous humor samples to detect 4 cases of ocular toxoplasmosis in patients with high levels of IL-10 and an IL-10/IL-6 ratio higher than 1. Our results show that ocular toxoplasmosis may be associated with increased cytokine levels in aqueous humor.
Correlation of endemicity between monogenean trematode, Microcotyle sebastis, and parasitic copepods in Korean rockfish, Sebastes schlegelii, from a fish farm in Tongyeong-si, Gyeongsangnam-do, Korea
Authors: Woo Won-Sik , Kang Gyoungsik , Kim Kyung-Ho , Son Ha-Jeong , Sohn Min-Young , Park Chan-Il
Published: August 2023

Infestations of parasites, particularly those caused by copepods and monogeneans, are a major hindrance to aquaculture and have a big negative economic impact. Sebastes schlegelii, a farmed Korean rockfish, is particularly prone to copepods and monogeneans. This study comprehended how parasitic copepods and rockfish from a farm in Tongyeong-si, Gyeongsangnam-do, Korea, are related to the monogenean trematode Microcotyle sebastis. Our research revealed that monogeneans predominated, with a rate of 98.4% and an average infection intensity of 7 per infected fish. With an average infection intensity of 4 per sick fish, the infection rate for parasitic copepods was equally considerable, coming in at 91.7%. The high co-infection rate of both parasite families, at 90.8%, is noteworthy. Furthermore, Lepeophtheirus elegans and Peniculus truncatus, 2 parasitic copepod species, were discovered to have M. sebastis eggs attached to their bodies. This demonstrates a connection between parasitic copepod infestations in farmed Korean rockfish and the monogenean trematode M. sebastis. These discoveries highlight the necessity for creating more potent parasite control methods for the aquaculture sector and shed light on the intricate relationships between various parasite species.
Evaluating the activity of N-89 as an oral antimalarial drug
Authors: Aly Nagwa S. M. , Matsumori Hiroaki , Dinh Thi Quyen , Sato Akira , Miyoshi Shin-ichi , Chang Kyung-Soo , Yu Hak Sun , Kubota Takaaki , Kurosaki Yuji , Cao Duc Tuan , Rashed Gehan A. , Kim Hye-Sook
Published: August 2023

Despite the recent progress in public health measures, malaria remains a troublesome disease that needs to be eradicated. It is essential to develop new antimalarial medications that are reliable and secure. This report evaluated the pharmacokinetics and antimalarial activity of 1,2,6,7-tetraoxaspiro[7.11]nonadecane (N-89) using the rodent malaria parasite Plasmodium berghei in vivo. After a single oral dose (75 mg /kg) of N-89, its pharmacokinetic parameters were measured, and t1/2 was 0.97 h, Tmax was 0.75 h, and bioavailability was 7.01%. A plasma concentration of 8.1 ng/ml of N-89 was maintained for 8 h but could not be detected at 10 h. The dose inhibiting 50% of parasite growth (ED50) and ED90 values of oral N-89 obtained following a 4-day suppressive test were 20 and 40 mg/kg, respectively. Based on the plasma concentration of N-89, we evaluated the antimalarial activity and cure effects of oral N-89 at a dose of 75 mg/kg 3 times daily for 3 consecutive days in mice harboring more than 0.5% parasitemia. In all the N-89- treated groups, the parasites were eliminated on day 5 post-treatment, and all mice recovered without a parasite recurrence for 30 days. Additionally, administering oral N-89 at a low dose of 50 mg/kg was sufficient to cure mice from day 6 without parasite recurrence. This work was the first to investigate the pharmacokinetic characteristics and antimalarial activity of N-89 as an oral drug. In the future, the following steps should be focused on developing N-89 for malaria treatments; its administration schedule and metabolic pathways should be investigated.
Balanced Nutrition Training for Adolescent Girls as Peer Educators on Improving Behavior among Senior High School Students for Stunting Prevention
Authors: Nurlaela Euis , Rasmaniar Rasmaniar
Published: August 2023

Remaja Indonesia banyak yang tidak menyadari bahwa mereka memiliki tinggi badan yang pendek atau disebut stunting. Data Riskesdas tahun 2017, diketahui persentase remaja putri dengan kondisi pendek dan sangat pendek meningkat dari tahun sebelumnya, yaitu 7,9% sangat pendek dan 27,6% pendek. Salah satu pendekatan  pendidikan kesehatan yang efektif pada remaja untuk mencegah stunting yaitu dengan metode Peer Education (pendidikan sebaya) tentang gizi seimbang. Tujuan penelitian ini adalah pengaruh Pelatihan Gizi Seimbang Bagi Remaja Putri Sebagai Peer Education Terhadap Peningkatkan Perilaku Pada Pencegahan Stunting Di Sekolah Menengah Atas Kec. SoropiaJenis penelitian ini survey analitik dengan rancangan kuasi eksperimen dengan model pre test post test control group desain yaitu kelompok perlakuan metode peer education sebanyak 40 siswi dan kelompok kontrol metode penyuluhan sebanyak 32 siswi diukur tingkat pengetahuan, sikap dan praktik tentang gizi seimbang melalui pre test dan post test. Untuk mengetahui ada perbedaan dilakukan uji Mann Whitney dengan taraf signifikan 0,05. Hasil uji statistik ada perbedaan  bermakna  antara tingkat pengetahuan, sikap dan praktik remaja putri kelompok perlakuan metode peer education dan kelompok kontrol metode penyuluhan yaitu  p= 0,046 (p<0,05), p= 0,034 (p<0,05) dan p= 0,000 (p<0,05).
OPTIMIZATION OF BIOSTIMULANTS REQUIREMENTS FOR ENHANCED BIOREMEDIATION OF CRUDE OIL SLUDGE POLLUTED SOILS
Authors: Onu Chika , Kamalu C.I.O. , Obijaku J.C. , Nwakaudu M.S. ,   Federal University of Technology, Owerri, Anyanwu E.E. ,   Federal University of Technology, Owerri
Published: August 2023

The study was aimed at investigating the optimal requirement of biostimulants in the bioremediation of crude oil sludge polluted soils. The contaminated environment was simulatedwith 1.0kg crude oil sludge on 2.0kg soil and uniformly homogenized. The polluted soils were then simulated with NPK, Cowdung and Moringaleaf powder based on total biostimulant to soil ratio of 0:1 to 0.75:1. These biostimulants were applied individually and in varying combinations to the polluted soils in three distinct segments (1, 2, 3) corresponding to the total biostimulant to soil ratios 0.25:1, 0.50:1 and 0.75:1 respectively while the control experiment which proceeded on natural attenuation was 0:1. Results of the experiments which lasted for 92 days showed marked reduction in Total Petroleum Hydrocarbon (TPH) content in the biostimulated experiments, E1 to E30. The control experiment, E31, which was non-biostimulated showed minimal reduction in TPH throughout the experiment due to the absence of added nutrients. In the single biostimulant application, moringa leaf powder (MLP) was found to give the best degradative performance at an optimal biostimulant to soil ratio of 2.04:1corresponding to 99.9957% bioremediation of the polluted soil being investigated. This result justifies the introduction of MLP as a suitable biostimulant for bioremediation studies and a possible substitute for NPK which is very expensive and not readily available for use. In the double biostimulant combination category, NPK + mlp mixing resulted in the best degradation efficiency. The optimum extent of degradation was 100% at optimum biostimulant to soil ratio of 2.04:1. The optimum extent of remediation for combination of all three biostimulants (NPK + CD + MLP) were found to be 99.15% at optimal biostimulant to soil ratio of 2.04:1.
VILLAGE PUBLIC REVENUE AND EXPENDITURE MANAGEMENT IN INDONESIA
Authors:   State Polytechnic of Ujung Pandang, Irama Rante Matrik , . Haliah , Kusumawati Andi ,   Hasanuddin University
Published: August 2023

This study aims to determine the management of the Village Revenue and Expenditure Budget. The source of the data used is secondary data in the form of a report on the realization of the village revenues and expenditure budget and other information related to the problem under study. The results of research and data analysis using qualitative descriptive analysis are used to describe how the management of the village revenue and expenditure Budget, it can be found that in general the management of the village revenue and expenditure budget is good but administrative accountability is still lacking.
ARTIFICIAL BANKING PAYMENT SECURITY SECURE ATM CARD PAYMENT SYSTEM
Authors: Padmakar Mahajan Digambar , Barhate Dr. B.H ,   Commerce College, Bhusawal MH India
Published: August 2023

-Although new methods are being used in the banking sector today, scams are happening on a large scale these days, the main one being OTP share. OTP is used when making money with ATM card. This OTP banking sector sends to the card holder's mobile number and payments are made using it. With all the options available, such scams require a different approach to the banking sector or an important method, namely, when the bank sends OTP when making payments, a system such as face detection or face identification should be created, in which the bank sends OTP. Face detection or face identification of the person paying the money through a system will be done by taking a photo of the face and putting it on the bank and the bill, so that the card holder will know who is paying the money.
SOCIAL MEDIA COMMUNITY LEARNING ON MEDIA EDUCATION IN TAMILNADU
Authors:   Sathyabama Institute of Science and Technology, Raja Dr N.
Published: August 2023

Media students can create and maintain an online community and make it a forum where they can present what they learn in classroom and conduct a debate on problems, challenges and opportunities that their field is faced with. The online community will trigger a knowledge explosion that will take them to a further greater plane. Teachers and students can collaborate and participate in the EduBlog and that will be an inspiring interface and stimulating interaction. The researcher studies the impact of social media in online community learning among media students in Tamilnadu.
WASSERSTEIN GAN-GRADIENT PENALTY WITH DEEP TRANSFER LEARNING FOR 3D MRI ALZHEIMER DISEASE CLASSIFICATION
Authors:   JNTUK University, Rao Thota Narasimha , Vasumathi Dr.D. ,   JNTUH CEH
Published: August 2023

MRI scans for Alzheimer's disease (AD) detection are popular. Recent computer vision (CV) and deep learning (DL) models help construct effective computer assisted diagnosis (CAD) models for AD detection and categorization. Due to their dependence on huge training datasets and effective hyper parameter tuning procedures, most models failed. Transfer learning adjusts the final fully linked layers to use trained DL models on smaller datasets. It handles picture categorization problems well. This research introduces a Wasserstein GAN-Gradient Penalty with Deep Transfer Learning (WGANGP-DTL)-based AD classification model on 3D MRI data. WGANGP-DTL aims to accurately identify and classify AD. WGANGP increases dataset size. The WGANGP-DTL model pre-processes MRI images using image enhancement and segments them using 3DSFCM. Feature extraction uses ant lion optimizer (ALO) with Inception v3 model. For classifying AD, deep belief network (DBN) model is used. The WGANGP-DTL model is experimentally validated using benchmark 3D MRI datasets. WGANGP-DTL outperformed recent methods in experiments.
DETECTION OF SPAM REVIEWS IN WEBSITES USING NET SPAM ALGORITHM
Authors:   Sri Balaji Vidyapeeth, (Deemed to be University), Sowmya D
Published: August 2023

Now-a-days, people in general choose to purchase an online item depending on the reviews and feedback given in social media. The probability of leaving a scrutiny gives a glorious chance for person who writing a spam reviews regarding the product for individual reasons. Categorizing these kinds of spammers and the spam content create an interesting issue of analysis. Though a generous range of studies are done recently towards this, till date the methodologies used still hardly find the spam reviews. Here, propose an exclusive framework called Net-Spam that exploit spam options for creating review datasets as heterogeneous data networks to map spam detection procedure into further classifications. Maltreatment of spam options helps us to get the best output pertaining to various metrics experimented on realtime review datasets from Amazon and Yelp websites. The results show that Net-Spam outperforms the current ways from among the three classes of features namely detection of review, detection of user and detection of Spam Groupers.
REVIEW ON FACE LIVE LINESS AUTHENTICATION
Authors: Gaikwad Sagar , Wagh Anurag , Kumar Aditya , Ambadkar Gayatri ,   Nutan Maharashtra Institute of Engineering and Technology
Published: August 2023

— Today, as the society is developing rapidly the network and information technologies have caused rapid change in the traditional business activities. Online transaction are rapidly developing based on the technologies used on mobile, tablets and PC along with use of Internet of things. With use of such technologies, online treats to business transaction has increased tremendously. Thus, different bio- Factors like face recognition eye retinas, fingerprints, etc are integrated in the existing online system to make them more secure. Face recognition with liveliness authentication is one such method which will help to increase the safety in transactions especially in online banking. This paper gives the review of face recognition system with liveliness detection that can be used for secure online transaction.
HEAD TRACKING AND VOICE RECOGNITION USING OPEN CV IN PYTHON
Authors: Jain Umang , Keshariya Isha , Arora Vrinda , Misal Atharv , Chaturvedi Ratnesh ,   NMIMS University
Published: August 2023

It is common knowledge that computers are an organization's central nervous system in the modern world. They can store their information on computers and retrieve it whenever required. As a result, having a working grasp of computers is essential. People with impairments cannot perform the tasks that need to be done on the computer. This paper outlines the proposed system for the disabled, which primarily uses the head tracking element utilizing software that mainly consists of head detection and voice recognition. The document also briefly discusses the system's potential benefits for the disabled. Thanks to the head detection feature, they can move the pointer across the screen and operate any software by simply moving their head. Thanks to the implementation of speech recognition technology, they can use their voices to engage with the system. Actual individuals validated the system through testing to ensure it met their needs and effectively provided assistance. These devices are also incredibly inexpensive and disabled individuals who rely on the care and support of others for survival can purchase them.
FINDING RELATED FORUM POSTS THROUGH TWITTER DATA USING MATCHING ALGORITHM
Authors: Lakshmi Dr.K.N.S. , Sowmya B.Madhu ,   SVPEC
Published: August 2023

Forum posts has the specific problem of finding related posts to a post at hand. By considering across the related documents the contents of posts are generally consider are whole. Here similarity process are done between two posts with respective segments and should be of same intention. All posts are generally fragmented in the form of group to attain the goal bunches. Now similarities are generally cross view the forums with sections and that will be of same intention.
LIGHT WEIGHT SECURITY ALGORITHM FOR LOW POWER IOT DEVICE
Authors: Lakshmi DR.K.N.S , sai ramya Y.Jyothika ,   SVPEC
Published: August 2023

Many IOT devices(mainly networks of IOT devices or networks that are deployed to monitor calamity situations) are deployed in an arbitrary and unplanned fashion. For any sensor in such a network can end up being adjacent node to any other IOT node in the network. To Establish a secure communication between every pair of adjacent IOTs node in such a network, each sensor node x in the network needs to store n -1 number of symmetric keys that sensor node x shares with all the other sensor nodes, where n is the number of sensor nodes in the present network. This memory storage requirement of the keying protocol is various, especially when n is large and the available storage in each sensor node is modest. Previous efforts to redesign this keying protocol and reduce the number of keys to be stored in each sensor node have produced protocols that are vulnerable to impersonation, eavesdropping, and collusion attacks. In this paper, we present a fully secure protocol.
Balkan Göç Folkloru: Kuzey Makedonya Türklerinin Kültürel Belleği Cuma Türkülerinin İcra Bağlamı ve İşlevleri
Authors: BALAT Gülçin
Published: August 2023

Göç, bireysel veya kitlesel olarak toplumların çeşitli sebeplerle gerçekleştirdiği yer değiştirme hareketidir. Göç olgusu, tarihsel süreç içinde toplulukları farklı coğrafyalarda yaşamaya mecbur bırakmış ve çeşitli sosyo-kültürel sonuçlar ortaya çıkarmıştır. Geçmişten günümüze göç hareketi konusunda çok geniş bir tecrübeye sahip topluluklardan biri de Türklerdir. Dünyanın çeşitli yerinde yaşayan kadim Türk toplulukları göç olgusunun hem öznesi hem de nesnesi durumunda olmuştur. Günümüzde Türkiye de çeşitli göç hareketlerinin içinde yer almış ve bu süreçlerden etkilenmiştir. Özellikle Osmanlı Devleti döneminde kadim Türk yurdu Balkan yarımadasından Anadolu’ya geri yapılan göçler Türk tarihinin en makûs hadiselerindendir. Bu çalışmada, bugünkü adı ile Kuzey Makedonya Cumhuriyetinden Ankara’ya göç eden Türklerin kültürel belleklerinde yer alan Cuma Türküleri (Cuma Türkileri) incelenmiş ve bu türkülerin icrâ bağlamı olan Suya Çıkarma/Çeşmeye Götürme Geleneği yapı, içerik ve işlevleri bakımından ele alınmıştır. Günümüzde özellikle Kuzey Makedonya Cumhuriyetinde Türklerin yoğun olarak yaşadığı Gostivar şehrinde ve civarında uygulanan bu geleneğin Ankara’ya göç eden Kuzey Makedonya Türkleri tarafından da gerçekleştirildiği tespit edilmiştir. Bu çalışmanın veri elde etme yöntemi görüşmedir (mülakât). Bu çalışmada, Balkan göç folkloru kapsamında Kuzey Makedonya’dan Ankara’ya göç eden Türklerin göç ettikleri bölgeye ait kültürel kimliklerini ve özelliklerini taşımış/korumuş hem de Ankara’daki yerel kültürel özellikleri de belleklerine alarak “göçmen” kimliği üzerinden kültürel bütünleşmeyi gerçekleştirmiş olduğu sonucuna ulaşılmıştır.
Evaluation of polyetheretherketone composites modified by calcium silicate and carbon nanotubes for bone regeneration: mechanical properties, biomineralization and induction of osteoblasts
Authors: Cao Jianfei , Yang Shuhao , Liao Yijun , Wang Yao , He Jian , Xiong Chengdong , Shi Kun , Hu Xulin
Published: August 2023

Desired orthopedic implant materials must have a good biological activity and possess appropriate mechanical property that correspond to those of human bone. Although polyetheretherketone (PEEK) has displayed a promising application prospect in musculoskeletal and dentistry reconstruction thanks to its non-biodegradability and good biocompatibility in the body, the poor osseointegration and insufficient mechanical strength have significantly limited its application in the repair of load-bearing bones and surgical operations. In this study, carbon nanotubes (CNT)/calcium silicate (CS)/polyetheretherketone ternary composites were fabricated for the first time. The addition of CS was mainly aimed at improving biological activities and surface hydrophilicity, but it inevitably compromised the mechanical strength of PEEK. CNT can reinforce the composites even when brittle CS was introduced and further upgraded the biocompatibility of PEEK. The CNT/CS/PEEK composites exhibited higher mechanical strengths in tensile and bending tests, 64% and 90% higher than those of brittle CS/PEEK binary composites. Besides, after incorporation of CNT and CS into PEEK, the hydrophilicity, surface roughness and ability to induce apatite-layer deposition were significantly enhanced. More importantly, the adhesion, proliferation, and osteogenic differentiation of mouse embryo osteoblasts were effectively promoted on CNT/CS/PEEK composites. In contrast to PEEK, these composites exhibited a more satisfactory biocompatibility and osteoinductive activity. Overall, these results demonstrate that ternary CNT/CS/PEEK composites have the potential to serve as a feasible substitute to conventional metal alloys in musculoskeletal regeneration and orthopedic implantation.
A review: hemocompatibility of magnetic nanoparticles and their regenerative medicine, cancer therapy, drug delivery, and bioimaging applications
Authors: Malehmir Shirin , Esmaili Mohammad Ali , Khaksary Mahabady M. , Sobhani-Nasab Ali , Atapour Amir , Ganjali Mohammad Reza , Ghasemi Ali , Moradi Hasan-Abad Amin
Published: August 2023

Nanoparticles have demonstrated noteworthy advancements in the management of various complex medical conditions, particularly cancer. In any case, these particles still harbor the potential to improve medicate conveyance to challenging, hard-to-reach loci. The interactions that occur between nanoparticles and red blood cells during their journey throughout the human body, despite exposure to blood, are still not fully understood. Assessment of the ability of nanoparticles to integrate with blood, characterized as nanoparticle compatibility, has been consistently overlooked and undervalued in its import. This review article investigates the effect of nanoparticles on red blood cells, while examining the compatibility of nanoparticles through the angle of hemolysis. This article discusses the main roles of erythrocytes and also provides an informed interpretation of several mechanisms involved in the interaction of nanoparticles and erythrocytes. Throughout the review, significant emphasis is attributed to the investigation of hemocompatibility studies concerning newly designed nanoparticles to promote their successful translation into clinical application. This review article examines the compatibility of magnetic nanoparticles in various fields, including regenerative medicine, cancer therapy, bioimaging, and drug delivery. Our results show that the chemical composition of the nanoparticle surface is a determining factor in hemocompatibility performance and interaction with blood cells. The surface properties of nanoparticles, namely surface charge, geometry, porosity, and surface functionalities of polymers or specific functional groups, represent key determinants of hemocompatibility.
Evaluation of the yeast phase-specific monoclonal antibody 4D1 and Galanthus nivalis agglutinin sandwich ELISA to detect Talaromyces marneffei antigen in human urine
Authors: Shu Fangyi , Pruksaphon Kritsada , Nosanchuk Joshua D. , Thammasit Patcharin , Youngchim Sirida
Published: August 2023

Talaromyces (Penicillium) marneffei (TM) is an important, but neglected, thermally dimorphic fungus. It is the pathogenic cause of talaromycosis, which is strongly associated with the immunodeficiency state present in individuals with advanced HIV disease. The purpose of this study was to develop a sandwich enzyme-linked immunosorbent assay (sandwich ELISA) for the detection of T. marneffei cytoplasmic yeast antigen (TM CYA) in human urine. Monoclonal antibody (MAb) 4D1 specifically binds to TM CYA. Galanthus nivalis agglutinin (GNA), a mannose -binding lectin, recognizes and binds to mannose residues of TM CYA. For the sandwich ELISA, the microplate was coated with GNA as the capturing molecule for absorbing immune complexes of MAb 4D1-TM CYA. The MAb 4D1-GNA sandwich ELISA did not detect a cross-reaction with other antigens from other fungi or bacteria. Seventy-four urine samples from patients with blood culture -confirmed talaromycosis and 229 urine samples from people without talaromycosis residing in the endemic area were subjected to the MAb 4D1-GNA sandwich ELISA. At an optical density (OD) cutoff value of 0.356, the sensitivity was 89.19% [95% confidence interval (CI): 79.80% –95.22%]; the specificity was 98.69% (95% CI: 96.22% –99.73%). The diagnostic performance of the MAb 4D1-GNA sandwich ELISA was highly consistent with those of blood culture and the Platelia Aspergillus galactomannan (GM) ELISA kit. Collectively, the MAb 4D1-GNA sandwich ELISA is a promising technique for the rapid diagnosis of T. marneffei infection, which would facilitate the early treatment of patients with talaromycosis and it may be used to monitor treatment responses.
Perioperative selenium administration in cardiac surgery patients, a way out to reduce post surgical adversities? A meta analysis
Authors: Rehan Syeda Tayyaba , Hussain Hassan ul , Imran Laiba , Eqbal Farea , Asghar Muhammad Sohaib
Published: August 2023

Introduction

The oxidative damage suffered in cardiac surgery is associated with declining trace elements which lead to the development of multi organ dysfunction (MOD), acute kidney injury (AKI), or increased length of hospital stay (LOS). Recent evidence shows the cardioprotective role of the trace element selenium as it mitigates worsening outcomes post cardiac surgery. Hence, this meta analysis aims to investigate the role of selenium in lowering cardiac surgery related adverse outcomes.

Methods

Literature search of five electronic databases was performed from the inception of the paper till 29th July, 2023. Eligibility criteria included; (a) randomized clinical trials with Adult patients (≥18 years) undergoing cardiac surgery (b) intervention with selenium pre or/and postoperatively; (c) a control group of a placebo, normal saline, or no selenium. Outcomes of interest include postoperative mortality, LOS in the hospital and Intensive Care Unit (ICU), AKI, troponin I, and Creatinine Kinase-MB (CK-MB). The Cochrane bias assessment tool was used to evaluate the risk of bias. Outcomes were pooled with the Mantel-Haenszel Random-effects model using Review Manager.

Results

Seven RCTs with 2,521 patients and 65% of males were included in this paper. No noticable differences were observed between selenium and control groups in terms of postoperative AKI, mortality, LOS in hospital and ICU, troponin I, and CK-MB levels. All studies had a low risk of bias on quality assessment.

Discussion

Our meta analysis demonstrated no discernible effects of selenium infusion on post operative complications among patients undergoing cardiac surgery. Further large scale multi centered studies comparing the protective role of selenium with combined therapy of other bioactive agents are needed to provide convincing explanations.

Systematic Review Registration

PROSPERO Identifier: 424920.
Effect of temperature on carbon accumulation in northern lake systems over the past 21,000 years
Authors: Pfalz Gregor , Diekmann Bernhard , Freytag Johann-Christoph , Biskaborn Boris K.
Published: August 2023

Introduction: Rising industrial emissions of carbon dioxide and methane highlight the important role of carbon sinks and sources in fast-changing northern landscapes. Northern lake systems play a key role in regulating organic carbon input by accumulating carbon in their sediment. Here we look at the lake history of 28 lakes (between 50°N and 80°N) over the past 21,000 years to explore the relationship between carbon accumulation in lakes and temperature changes.

Method: For this study, we calculated organic carbon accumulation rates (OCAR) using measured and newly generated organic carbon and dry bulk density data. To estimate new data, we used and evaluated seven different regression techniques in addition to a log-linear model as our base model. We also used combined age-depth modeling to derive sedimentation rates and the TraCE-21ka climate reanalysis dataset to understand temperature development since the Last Glacial Maximum. We determined correlation between temperature and OCAR by using four different correlation coefficients.

Results: In our data collection, we found a slightly positive association between OCAR and temperature. OCAR values peaked during warm periods Bølling Allerød (38.07 g·m−2·yr−1) and the Early Holocene (40.68 g·m−2·yr−1), while lowest values occurred during the cold phases of Last Glacial Maximum (9.47 g·m−2·yr−1) and Last Deglaciation (10.53 g·m−2·yr−1). However, high temperatures did not directly lead to high OCAR values.

Discussion: We assume that rapid warming events lead to high carbon accumulation in lakes, but as warming progresses, this effect appears to change as increased microbial activity triggers greater outgassing. Despite the complexity of environmental forcing mechanisms affecting individual lake systems, our study showed statistical significance between measured OCAR and modelled paleotemperature for 11 out of 28 lakes. We concluded that air temperature alone appears to drive the carbon accumulation in lakes. We expected that other factors (catchment vegetation, permafrost, and lake characteristics) would influence accumulation rates, but could not discover a conclusive factor that had a statistical significant impact. More data available on long-term records from northern lake systems could lead to more confidence and accuracy on the matter.