bluuebunny/crossref_metadata_2025_split huggingface dataset:
Screening of periodontal disease related Bacteria in Iraqi patients and their relationship with salivary TLR2 and IL-6 level
Authors: Hussein Fatima , Abdul Sattar Moroj 
Published: July 2023

The oral cavity has the second major and most diverse microflora after the gut. Since it is the starting point of digestion; the oral microbiota is essential for maintaining oral and systemic health. Thus, this study aimed to find the bacterial isolates which act as a causative agent of periodontal diseases in Iraqi patients and their relation with some immune oral parameters. Saliva specimens and oral swabs of 91 patients (51) and control individuals (40) were collected in this study. The specimens of patients were collected from Al-Amirya and Almaamon Specialized Dental Centers in Baghdad for a period from November/2021 to February/2022. The microbiological results revealed, that the most prevalent bacterial isolates were related to the genus, which was descending graduated into Staphylococcus spp.74.5%> Enterobacteriaceae spp.62.7% > Streptococcus spp. 13.7% and Acinetobacter spp.13.7% > Neisseria spp.9.8% > Bacillus spp.5.8% > Corynebacterium spp. 3.9% and Pseudomonas spp.3.9%, and in the same context, the acidic pH of the patient's or control's mouths is more conducive for bacterial development than other pH items. As well by using the ELISA technique, the soluble form of TLR2 7.384 ± 4.031 ng/ml elucidated a significant increase in patients than the control group 5.313 ± 3.106 ng/ml, while interleukin 6 shows a strange increase in both patients and the control group saliva 50161 ± 63869, 52087 ± 62756 ng/ l respectively.
Effect of Barium Sulfate Nanoparticles with Organic Alcohol on the Ionizing Radiation Shielding
Authors: Shareef Amjed Mohmmed , Kadim Akeel M. 
Published: July 2023

In this study, the gamma ray shielding properties of shields prepared from polyvinyl alcohol as a base material reinforced with barium sulfate nanoparticles at different reinforcement ratios (5,15,25,35,45 %) and thickness 1 cm were studied. To determine the acceptability of these shields for use in gamma ray protection, some parameters including linear attenuation coefficient (μ), mean free path (λ), and half value layer (HVL) were determined using133Ba, 22Na, 137Cs, and 60Co radioactive sources that produced gamma rays with energies of (356, 662, 1173, 1275 and 1332 KeV). The (NaI (Tl)) gamma system was employed for this purpose. The fabricated shields' effective atomic number was also determined. The findings demonstrated that as the reinforcement ratios of the nano-barium sulfate were raised, the linear attenuation coefficient and the effective atomic number of the shields inceased . The mass attenuation coefficient , mean free path and the half value layer decreased as the nano-barium sulfate reinforcement ratios increased.
On Complete Intuitionistic Fuzzy Roh-Ideals in Roh-Algebras
Authors: Atshan Arkan Ajil , Khalil Shuker Mahmood 
Published: July 2023

In this paper, we shall investigate and study some kinds of ideals in an intuitionistic fuzzy setting, they are called complete intuitionistic fuzzy subalgebra, complete intuitionistic fuzzy ideal, and complete intuitionistic fuzzy ideal. In this study, we have also proposed some hypotheses to explain some of the relationships between these kinds of intuitionistic fuzzy ideals.
Some Transformation Properties with Omitted Value
Authors: Mazloum Fatima AH. , Alhily Shatha S. 
Published: July 2023

The purpose of this paper is to show that for a holomorphic and univalent function in class S, an omitted –value transformation yields a class of starlike functions as a rotation transformation of the Koebe function, allowing both the image and rotation of the function
to be connected. Furthermore, these functions have several properties that are not far from a convexity properties. We also show that Pre- Schwarzian derivative is not invariant since the convexity property of the function is so weak.
New Results of Normed Approach Space Via β-Approach Structure
Authors: Saeed Shaimaa , Hussein Boushra Y . 
Published: July 2023

Researchers have identified and defined β- approach normed space if some conditions are satisfied. In this work, we show that every approach normed space is a normed space.However, the converse is not necessarily true by giving an example. In addition, we define β – normed Banach space, and some examples are given. We also solve some problems. We discuss a finite β-dimensional app-normed space is β-complete and consequent Banach app- space. We explain that every approach normed space is a metric space, but the converse is not true by giving an example. We define β-complete and give some examples and propositions. If we have two normed vector spaces, then we get two properties that are equivalent. We also explain that β-normed app- spaces are norm bounded with a condition. We show that functions of β-normed Banach spaces are β- contraction, with some results and properties. The sequentially β-contraction is also explained and the relation between metric β- app- space and Hausdorff space is studied.
Estimation of the Standard Atmospheric Earth Model Parameters at 86 km Altitude
Authors: Hussein Hussein Omran , Yaseen Waleed Ibrahim 
Published: July 2023

Utilizing the Turbo C programming language, the atmospheric earth model is created from sea level to 86 km. This model has been used to determine atmospheric Earth parameters in this study. Analytical derivations of these parameters are made using the balancing forces theory and the hydrostatic equation. The effects of altitude on density, pressure, temperature, gravitational acceleration, sound speed, scale height, and molecular weight are examined. The mass of the atmosphere is equal to about 50% between sea level and 5.5 km. g is equal to 9.65 m/s2 at 50 km altitude, which is 9% lower than 9.8 m/s2 at sea level. However, at 86 km altitude, g is close to 9.51 m/s2, which is close to 15% smaller than 9.8 m/s2.
These results have been compared with an international standard atmosphere. The presumed atmosphere model differs significantly from the actual atmosphere because weather fluctuations are not taken into consideration in this model.
Impact of SARS-COV-2 Variants on the Infection Severity among Iraqi Patients
Authors: Ghazzi Jinan J. , Fadhil Hula Y. , Aufi Iman M. 
Published: July 2023

Severe acute respiratory corona viruses (SARS-COVs) are a particular category of RNA viruses that have emerged as a potential danger to the human population, triggering epidemics and pandemics that have resulted in catastrophic human mortality. The SARS-CoV2, responsible for the COVID-19 pandemic that began on December 12, 2019 in Wuhan, China, has been linked to bats. A new SARS-CoV-2 variant appeared in late December 2020. Mutations with variants continued to appear until the time of this study. Thus, this study aimed to provide a local database among Iraqi patients about SARS-COV-2 variants as there have been very few local studies documenting its existence and its relationship with the progression and severity of infection. For this study 234 nasal swabs were collected from COVID-19 positive individuals between March 2021 to March 2022. RNA was extracted and tested by using real-time reverse transcriptase polymerase chain reaction (rRT-PCR) assay to confirm infection, and the variants were detected by using a special kit that stratified the characteristic mutations. Results showed the presence of Alpha, Beta or Gamma and Omicron variants in our population at the same time as their global spread at high rates with different severity of cases. It increased in severity during infections with wild type 26/32 (81.25%) and Alpha 82/109 (75.23%) variants but a high incidence of Beta or Gamma 28/38 (73.68%) and Omicron 35/46 (76.09%) variants within mild-moderate infections. Moreover, there was a significant increase in severity in older age groups than younger. Hence, we can conclude that most severe infections with SARS-COV-2 appeared in wild type and during the appearance of Alpha variant which provided a unique database of variants of COVID-19 circulating in the Iraqi population and also assisted in determining the severity of disease. More research is needed on this subject.
Prevalence of Some Parasitic Infections in Iraq from 2019 to 2020
Authors: Bedair Nada Hassan , Zeki Israa Naif 
Published: July 2023

Parasitic infections are associated with low education, wars and migration, absence of animal control and poor sanitation. Infections like visceral and cutaneous leishmaniasis (VL and CL), trichomoniasis, toxoplasmosis, malaria, echinococcosis and schistosomiasis are all spread worldwide and have harmful effects on individuals and societies. The aim of this survey was to identify the possible association of these infections with spatial distribution (province/governorate) and patient demographics (age and gender). According to the data collected from the Iraqi National CDC from 2019 to 2020, the predominant parasitic infections in both years were trichomoniasis and CL, followed by echinococcosis, VL and toxoplasmosis. Iraq is malaria and schistosomiasis free. The highest incidence rate of trichomoniasis was in Duhouk (2019) and Al-Dewaniya (2020) and majority of CL cases were in Diala in both 2019 and 2020. The number of echinococcosis cases was the highest in Thi-Qar (2019) and in Nineveh (2020). VL mostly affected Al-Dewaniya (2019) and Thi-Qar (2020). Toxoplasmosis scored the highest incidence rate in Basra in 2019 and 2020. All infections were higher in 2019 than in 2020, except for CL. As for age groups: echinococcosis, toxoplasmosis and trichomoniasis were higher in age group 15 – 44 years, while VL and CL was most common in 0-14 years juveniles in both years. Females were more affected than males by echinococcosis, toxoplasmosis, and trichomoniasis, while VL and CL affected males more often in the years included in this study.
ئاسته‌نگێن فێربوونا زمانێ ئينگليزى ل كولیژا زمانان زانكۆیا دهۆك
Authors: Ismail Rajab Suliaman , Mohammed Jasim Shireen 
Published: July 2023

زمانێ ئینگلیزى ڕۆله‌كێ گرنگ د هه‌مى بیاڤێن ته‌كنولوژى، بازرگانى، ئابوورى، سیاسى و په‌روه‌رده‌ییدا دگێڕیت و بوویه‌ به‌شه‌ك ژ پلان و سیاسه‌تا زمانى و په‌روه‌رده‌ییا زۆربه‌ى وه‌لاتێن جیهانێ. سه‌ره‌راى جیهانیبوونا زمانێ ئینگلیزى، گه‌له‌ك قوتابى ژبه‌ر فاكته‌رێن جوداجودا ل ده‌مێ فێربوونا زمانێ ئینگلیزى، رويبروى ئاریشه‌ و ئاسته‌نگان دبن. ئارمانجا سه‌ره‌كییا ئه‌ڤێ ڤه‌كولینێ ده‌ستنیشانكرنا ئه‌وان ئاسته‌نگانه‌ یێن كو دبنه‌ ڕێگر بۆ سه‌رخستنا فێربوون و فێركرنا زمانێ ئینگلیزى. ئه‌ڤ ڤه‌كولینه‌ یا تایبه‌ته‌ ب دیاركرنا ئاریشێن فێربوونا زمانێ دوويێ (ئینگلیزی) یێن قوتابیێن پشكێن زمانێ ئينگليزى و وه‌رگێڕانێ ل كولیژا زمانان زانكۆیا دهۆكێ. ڤه‌كولین ل دویڤ رێبازا وه‌سفی شرۆڤه‌كارى و ئامارى هاتییه‌ ئه‌نجامدان، بۆ زانینا رێژه‌یا هه‌ر ئاسته‌نگه‌كێ، دوسه‌د و هه‌شتێ قوتابیێن هه‌ر چارقوناغان، ل پشكا زمانێ ئینگلیزی و وه‌رگێڕانێ ل كولیژا زمانان هاتینه‌ وه‌رگرتن، كو چه‌ندین پرسیار هاتینه‌ ئاراسته‌ كرن ل دور ئه‌و ئاریشێن كو ئه‌و رويبروى دبن د فێربوونا زمانێ ئینگلیزیدا، له‌ورا ئه‌نجامێن ئه‌ڤان پرسياران ب شێوه‌يه‌كێ ئامارى هاتيه‌ دياركرن كو د ئه‌نجامدا گرنگترين ئاسته‌نگێن زمانى و نه‌زمانى هاتينه‌ ده‌ستنيشانكرن ئه‌وێن كاريگه‌ريه‌كا نه‌رێنى دكه‌نه‌ سه‌ر قوتابى د فێربوونا زمانێ ئينگليزيدا.
كليلێن ڤه‌كولينێ: فێربوونا زمانێ دوويێ، زمانێ ئينگليزى، ئاسته‌نگێن فێربونا زمانێ دوويێ، ئاسته‌نگێن زمانى، ئاسته‌نگێن نه‌زمانى.
Prediksi Interaksi Drug Target pada Gen Kanker Menggunakan Metode Lasso-XGBoost
Authors: Ginoga Muh Fadhil Al-Haaq , Kusuma Wisnu Ananta , Mushthofa Mushthofa 
Published: July 2023

Pengobatan kanker saat ini sering dilakukan dengan kemoterapi menggunakan obat kimia dan dapat menyebabkan efek samping. Alternatif pengobatan dapat menggunakan senyawa herbal yang diketahui memiliki efek samping lebih sedikit. Analisis Drug Target Interaction (DTI) dapat dilakukan untuk mengetahui interaksi senyawa herbal terhadap protein kanker. Pada penelitian ini dilakukan perancangan model prediksi DTI dengan melakukan seleksi fitur pada dataset menggunakan Least Absolute Shrinkage and Selection Operator (LASSO) lalu dilakukan penyeimbangan data dengan Synthetic Minority Oversampling Technique (SMOTE) dan diprediksi menggunakan Extreme Gradient Boosting (XGBoost). Data protein terkait kanker didapatkan dari daftar Cancer Gene Census, dari daftar tersebut dilakukan penelusuran pada database GDSC, DrugCentral, dan DrugBank untuk menghasilkan daftar senyawa obat yang berinteraksi dengan protein tersebut. Selain itu, senyawa herbal dihasilkan dari database HerbalDB dan Knapsack. Pengujian dilakukan pada beberapa jenis ekstraksi fitur seperti CTD, DC, PseAAC, dan PSSM. Hasil prediksi menunjukkan beberapa senyawa herbal seperti andrographolide, ursolic acid dan oleanolic acid memiliki interaksi pada protein terkait kanker. Selain itu, LASSO-XGBoost dapat memprediksi DTI pada kanker dengan skor F1 0,861; AUROC 0,927; recall 0,85; precision 0,866; dan accuracy 0,897. AbstractCurrently, cancer treatment is usually done with chemotherapy using chemical drugs that can cause side effects. An alternative treatment can use herbal compounds that known have fewer side effects. Drug Target Interaction analysis (DTI) can be performed to determine the interaction of herbal compounds with cancer proteins. In this study, a DTI prediction model is built by selecting features on the data set using Least Absolute Shrinkage and Selection Operator (LASSO) then data balancing performed with Synthetic Minority Oversampling Technique (SMOTE) and Extreme Gradient Boosting (XGBoost) performed to predict the interaction. The cancer-associated protein data were obtained from the Cancer Gene Census list, then the list used to search on the GDSC, DrugCentral and DrugBank databases to generate a list of drug compounds that interact with these proteins. In addition, plant compounds to be generated from the HerbalDB and Knapsack databases. Tests were performed on several types of feature extraction such as CTD, DC, PseAAC and PSSM. Predictive results suggest that several herbal compounds such as andrographolide, ursolic acid and oleanolic acid interact with cancer-associated proteins. In addition, LASSO-XGBoost was able to predict DTI in cancer with score of F1 0,861; AUROC 0,927; recall 0,857, precision 0,866; and accuracy 0,897.
Peningkatan Efisiensi Waktu Seleksi Karyawan dengan Kombinasi Metode Analytical Hierarchy Process dan Simple Additive Weighting
Authors: Lemantara Julianto , Suprianta I Ketut Adi , Arsyanti Lidya Ananda , Lago Oktavia Deyo 
Published: July 2023

Manajemen Sumber Daya Manusia (SDM) masih menjadi suatu persoalan bagi beberapa perusahaan, salah satunya yaitu pada perusahaan PT. Sasmita Abadi Gloves. Perusahaan ini mempunyai kendala dalam seleksi calon karyawan karena terdapat kesalahan rekrutmen sekitar 3 sampai 4 orang dalam satu tahun. Di samping itu, proses seleksi memerlukan waktu yang lama yaitu 7 hingga 10 hari untuk merekap dan menghitung penilaian calon karyawan dalam bentuk Microsoft Excel. Untuk itu, penelitian kali ini memiliki tujuan menghasilkan Sistem Pendukung Keputusan (SPK) yang bisa menyajikan rekomendasi yang tepat dalam proses seleksi calon karyawan terbaik menggunakan metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) dengan waktu yang lebih cepat dan efisien. Dalam penerapannya, AHP digunakan dalam menghitung bobot kriteria/subkriteria dan SAW digunakan dalam menghasilkan ranking calon karyawan. Kriteria untuk seleksi di bagian produksi, yaitu kedisplinan, wawancara, dan tes praktik, sedangkan kriteria untuk seleksi di bagian nonproduksi, yaitu kedisplinan, wawancara, tes tulis, dan psikotes. Jumlah alternatif bisa berapapun, tetapi untuk uji coba, penelitian ini menggunakan 15 alternatif. Hasil penelitian menunjukkan bahwa SPK dapat menentukan calon karyawan terbaik dengan lebih tepat dan objektif. SPK juga dapat mempercepat proses seleksi calon karyawan menjadi 3 hingga 5 hari sehingga meningkatkan efisensi waktu seleksi hingga dua kali lipat. AbstractThe human resources management is a problem for several companies, one of which is the company PT. Sasmita Abadi Gloves. This company has problems in selecting prospective employees because there are recruitment errors of about 3 to 4 people in one year. In addition, the selection process takes a long time, namely 7 until 10 days to recap and calculate the assessment of prospective employees in the form of Microsoft Excel. Therefore, this research aims to produce a Decision Support System (DSS) that can present appropriate recommendations in selecting the best prospective employees using Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods with a faster and more efficient time. In its application, AHP was used to specify the criteria/subcriteria weight, while SAW was used to produce the ranking of prospective employees. The criteria for selecting in production departments are discipline, interviews, and practical tests, while the criteria for selecting in non-production departments are discipline, interviews, written tests, and psychological tests. The number alternatives number can be unlimited. For tetsing, this study uses 15 alternatives, The research result showed DSS can determine the best employee candidates more precisely and objectively. DSS can also speed up the employee selection process to 3 until 5 days, thereby increasing efficiency of selection time, up to two times.
Desain Head-Up Display Berbasis Refleksi untuk Aplikasi Navigasi pada Mobil Menggunakan Metode Human-Centered Design
Authors: Hermawan Andrian Riza , Tolle Herman , Akbar Sabriansyah Rizqika 
Published: July 2023

Aktivitas mengemudi mobil disertai penggunaan navigasi adalah hal yang umum ditemui pada masyarakat. Perangkat navigasi umumnya menampilkan petunjuk rute pada layar perangkat ponsel pintar atau pada head unit. Namun, penggunaan perangkat navigasi dengan cara tersebut dapat membuat pengendara mobil terdistraksi pada saat mengemudi. Penelitian ini memberikan alternatif solusi untuk meminimalisir distraksi pada pengemudi mobil menggunakan desain navigasi Head-up Display (HUD) yang direfleksikan pada kaca depan mobil dengan pendekatan Human-Centered Design (HCD). Informasi navigasi direfleksikan pada kaca depan mobil menggunakan ponsel pintar sebagai proyektor informasi navigasi. Penelitian ini juga berkontribusi pada perancangan kerangka desain navigasi yang terlihat jelas serta nyaman bagi pengemudi mobil. Hasil penelitian menunjukkan bahwa konsep HUD dalam penyampaian informasi navigasi tidak membuat koresponden merasa terdistraksi. Analisis hasil kuisioner menunjukkan bahwa warna sian adalah warna yang paling memiliki dampak positif bagi informasi navigasi yang terlihat jelas dan nyaman. Aspek ukuran dari kerangka desain navigasi yang optimal ditunjukkan dengan informasi navigasi berada di dalam lingkaran berdiameter 5,077 cm. Kontribusi dari penelitian ini diharapkan dapat dijadikan referensi untuk diterapkan pada aplikasi navigasi yang menggunakan metode Head-up Display. AbstractDriving a car activity while using navigation is commonly found in people. The navigation device usually displays route guide either on the smartphone’s screen or the head unit. However, the usage of this kind of navigation while driving a car can make a distraction for the driver. This research proposed an alternative solution to minimize distraction and to keep car driver stay on focused while they look at reflected navigation HUD information on the windshield. This research uses Human-Centered Design (HCD) as the method. This research proposes a simple HUD concept to reduce distraction. This HUD Concept uses the car’s windshield as a reflector for navigation arrows. This concept uses a smartphone to project navigation information. This research proposes a framework design of navigation that is clear to see and comfortable from a car driver’s viewpoint. The result of the research shows that the proposed HUD concept to display navigation information on a car’s windshield makes correspondents didn’t feel distracted. Another research result about optimal navigation design framework in color aspect is cyan. The size aspect of the optimal navigation design framework is inside a 5.077 cm diameter circle. The results of this research can be used as a reference for navigation applications that use the HUD method to display navigation information.
Pengenalan Jalan Berlubang Berbasis Vision Menggunakan Pyramid Histogram Of Oriented Gradients
Authors: Fitriansyah Ahmad Habib , Rachmawati Ema , Risnandar Risnandar 
Published: July 2023

Lubang, sejenis kerusakan jalan, dapat merusak kendaraan dan berdampak negatif pada keamanan mengemudi dari pengemudi. Bahkan, dalam kasus yang parah dapat menyebabkan kecelakaan lalu lintas. Manajemen jalan berlubang yang efisien dan preventif di lingkungan jalan yang kompleks memainkan peran penting dalam mengamankan keselamatan pengemudi. Hal ini juga diharapkan dapat memberikan kontribusi terhadap pencegahan kecelakaan lalu lintas dan kelancaran arus lalu lintas. Di masa lalu, deteksi lubang terutama dilakukan melalui inspeksi visual oleh ahli manusia. Baru-baru ini, metode deteksi lubang otomatis menerapkan berbagai teknologi yang menyatukan teknologi dasar seperti sensor dan pemrosesan sinyal. Pada artikel ini, metode berbasis pengolahan citra dan pembelajaran mesin diaplikasikan untuk mengenali lubang di jalan. Penelitian ini menghasilkan model dari bentuk lubang dengan memanfaatkan ciri bentuk yang diekstraksi dari Pyramid Histogram of Oriented Gradients (PHOG). Untuk metode klasifikasi, peneliti menggunakan Support Vector Machine (SVM) dengan hasil terbaik diperoleh pada penggunaan kernel polynomial. Sistem pengenalan jalan berlubang yang diusulkan mampu menunjukkan hasil performa yang sangat baik, yaitu akurasi sebesar 94,45%, precision sebesar 96,13% recall sebesar 95,77%, dan F1-score sebesar 95,95%. AbstractPotholes on roads can damage vehicles and endanger drivers, potentially leading to accidents. Preventative management of potholes is crucial for driver safety and efficient traffic flow. Traditional methods of pothole detection relied on visual inspection, but automatic methods have been developed using sensors and signal processing. This article presents a new approach using image processing and machine learning to identify potholes on roads. The proposed system uses shape features extracted from Pyramid Histogram of Oriented Gradients (PHOG) and a Support Vector Machine (SVM) with polynomial kernels for classification. The system achieves high accuracy, precision, recall, and F1-Score, with an accuracy of 94.45%, precision of 96.130%, recall of 95.77%, and F1-Score of 95.950%.