bluuebunny/crossref_metadata_2025_split huggingface dataset:
New trend for LWE application in different computer science fields
Authors: Hilal Bushra Kamil , Jawad Mohammad Q. , Shehab Ahmed W. 
Published: October 2023

Problems of large keys in the on-lattice ring signature link due to reduce to the lattice, based on the problem of fault-tolerant learning on the ring (RLWE), according to "Homomorphic Commitment→∑-Protocol→Fiat-Shamir Transformation" reconstructs a linkable ring signature scheme on a lattice. First construct a base “Homomorphic commitment scheme” on polynomial ring of RLWE difficult, and use the Fiat-Shamir transformation method. The method converts the ∑-protocol into a linkable ring signature scheme, and suggests linkable ring signature scheme model. It is resistant to quantum computer attacks. compared with the previous linkable ring signature schemes on lattices, proposed methods with high computational, simple and less time frame because the ring elements in the scheme are taken from small polynomials which represents as case of application in computer science.
Iris Data Compression Based on Hexa-Data Coding
Authors: AL-Khafaji Ghadah , Al-Mahmood Haider Hameed , Siddeq Mohammed M. , Rodrigues Marcos. A. 
Published: October 2023

Iris research is focused on developing techniques for identifying and locating relevant biometric features, accurate segmentation and efficient computation while lending themselves to compression methods. Most iris segmentation methods are based on complex modelling of traits and characteristics which, in turn, reduce the effectiveness of the system being used as a real time system. This paper introduces a novel parameterized technique for iris segmentation. The method is based on a number of steps starting from converting grayscale eye image to a bit plane representation, selection of the most significant bit planes followed by a parameterization of the iris location resulting in an accurate segmentation of the iris from the original image. A lossless Hexadata encoding method is then applied to the data, which is based on reducing each set of six data items to a single encoded value. The tested results achieved acceptable saving bytes performance for the 21 iris square images of sizes 256x256 pixels which is about 22.4 KB on average with 0.79 sec decompression average time, with high saving bytes performance for 2 iris non-square images of sizes 640x480/2048x1536 that reached 76KB/2.2 sec, 1630 KB/4.71 sec respectively, Finally, the proposed promising techniques standard lossless JPEG2000 compression techniques with reduction about 1.2 and more in KB saving that implicitly demonstrating the power and efficiency of the suggested lossless biometric techniques.
Weak Gamma (Quasi-) Continuous Modules
Authors: Abdulrazaq Ghassan Nieaf , Shallal Emad Allawi 
Published: October 2023

In this paper, we introduce and study the concept of weak gamma continuous modules as a generalization of continuous gamma modules. A gamma submodule of a gamma module is called weak gamma summand if there exists submodule of and there exists an ideal of where and . An module is called weak gamma extending module if every submodule of is essential in a weak gamma summand. An module is called weak gamma continuous module if is it weak gamma extending module and if for each submodule of is isomorphic to a direct summand of , then is weak gamma summand of . Also it is called weak gamma quasi-continuous module if is weak gamma extending module and if and are direct summands of with , then is a weak gamma summand of . Many properties and results of the these modules are given
Trigonometric Approximation and 2π-Periodic Neural Network Approximation
Authors: Bhay Eman S. , Mahdi Sara Saleh 
Published: October 2023

Many articles studied best trigonometric approximation and many researchers worked on the neural network approximation, but no one related the best trigonometric approximation to neural network approximation. We define trigonometric activation function, then we use it to obtain neural network, which we use it as a best approximation for functions in spaces for . That what we shall introduce in our work have.
Preprocessing of Drugs Reviews and Classification Techniques
Authors: Kazim Rosul Ibrahim , Abdullah Enas Fadhil 
Published: October 2023

NLP refers to the computer-based study of language when referring to textual data such as texts or reviews. Natural language processing frequently seeks to give otherwise unstructured natural language a representation of the text that gives it structure. Marketing, social media, and customer relationship management are just a few of the businesses that heavily rely on sentiment analysis (SA), one of the methods used in opinion mining, typically assesses a textual review's structure to see if it conveys a positive or negative impression .In this paper, the challenge was to convert unstructured texts into structured texts for drug datasets, and interlocking between sentiment analysis, the mechanism that was adopted in the paper starts with several stages. The first stage is data preprocessing with natural language processing techniques, and the next stage is the prediction step with classification models are logistic regression(LR), random forest(RF), Naïve Bays(NB), and Support Vector Machine (SVM), the best Result of prediction accuracy 92%,for random forest .
Survey Analysis on smart features selection for machine learning techniques mainly applied to EEG.
Authors: Hakem Ekram , Al-Shammary Dhiah , Mahdi Ahmed M. 
Published: October 2023

This research presents a survey for analyzing and classifying the EEG signal based on feature selection approaches. Moreover, The increasing complexity of high-dimensional medical datasets necessitates efficient feature selection methods for early disease detection and safeguarding public health. Intelligent feature selection represents an advanced stage in machine learning and innovative computer applications, as it reduces the number of features required for accurate classification. Generally, The main goal of feature selection is to improve the predictive model's performance and reduce the computational cost of modeling. This paper contains a survey of considerable research several on feature selection. The main measures to analyze this paper are Accuracy, precision, Recall, and F1-score assessment. In order to evaluate performance used stander dataset are EEG Bonn University. The results have proven that they have achieved the highest accuracy rate of around 99% compared with different techniques.
A Controlling Traffic Light system using Fuzzy logic
Authors: Gdeeb Rasha Talib 
Published: October 2023

Automatic control systems are a new advanced system uses computers and hardware controllers to act as a driving system. Increasing in cars numbers while we have the same infrastructure caused a large traffic problem so we need automatic adaptive controllers to control the open and close tasks of traffic light system. Fuzzy Logic is a conversation from classical logic with values of 0 for false and 1 for true to a range of values between 0 and 1.
This study aims to create an adaptive traffic control system using fuzzy logic and image processing, we have a camera on each traffic light to calculate the number of cars there and then we feed the number of cars to a fuzzy logic system to decide which traffic light must become on
Demographic, medical, and financial statistics from the Jaffna Jaipur Centre for Disability Rehabilitation (JJCDR) database, 1987-2018: a prosthetics, orthotics, and mobility clinic in northern Sri Lanka
Authors: Berthaume Michael , Barnes Spencert , Hettiaratchy Shehan , Clasper Jon C , Kumar Ahilakumar , Sathiadas Gitanjali , Ganeshamoorthy Jeya 
Published: October 2023

Background When dealing in global health, it is crucial to have a comprehensive understanding of community demographics and needs. From 1983-2009, a 26-year ethnic civil conflict devastated Sri Lanka, disproportionately affecting people living in the north and creating a large amputee population. Here, we use routinely collected prosthetic and orthotic data to investigate the composition of the amputee community in northern Sri Lanka. Methods The Jaffna Jaipur Centre for Disability Rehabilitation (JJCDR) was established in 1987 and has been the only centre consistently providing prosthetic, orthotic, and non-orthopaedic services in northern Sri Lanka spanning during and after the civil war. In 2004, with the help of the charity Motivation, they established an electronic patient database, which records and maintains information on the JJCDR’s patients. An anonymized copy of the JJCDR database was obtained in November 2018. Summative statistics and temporal trends in patient data were investigated. Results 3,665 unique patients registered with the JJCDR from 1986-2018 (2,605 male, 1,060 female). Individuals ranged from 0-90 years old, with a mean/median age of 34.76/32 years old. Key findings include: (i) 93.0% patients with amputation site recorded were lower limb amputees, with 74.3% being transtibial amputees; (ii) The majority of patients with cause of amputation recorded had war-related amputations (61.2%); (iii) diabetes was the highest cause for non-war-related amputations (18.3%); (iv) war-related amputations have ceased, while diabetic amputations are on the rise; and (v) peak recorded financial costs due to prosthetic and orthotic (P&O) creation/maintenance occurred in 2013, 4 years after the war ended. Conclusions These analyses provide crucial insight into the P&O population in northern Sri Lanka, including distribution and frequency for causes/sites of amputations, temporal patterns in causes of amputations, and costs to a P&O centre due to device creation and maintenance. This database and analysis provide invaluable insight into the P&O cohort in northern Sri Lanka, and a unique insight into the P&O needs of a post-conflict LMIC from the perspective of a P&O centre.
Phytochemical screening, nutritional value, antioxidant and antimicrobial activities and acute toxicity of Scolymus hispanicus: A wild edible plant in Morocco
Authors: Aboukhalaf Abdelghani , Moujabbir Sara , El Amraoui Belkassem , Naciri Kaoutar , Kalili Adil , Essaih Seloua , Rocha Joao , Belahsen Rekia 
Published: October 2023

Scolymus hispanicus L. (Golden thistle) is a well-known wild edible plant (WEP) in Morocco. However, the species value is not well investigated and its economic value is considerably low. Therefore, the aim of this work was to evaluate the phytochemical composition, the biological activities, and the acute toxicity of crude extract of S. hispanicus aerial parts. The mineral composition was assessed using an ICP-AES spectrometer and, the contents in polyphenol, flavonoids and tannins using colorimetric methods. The antioxidant activity was tested by DPPH assay. Disc diffusion and broth micro dilution methods were used to evaluate the antimicrobial activity. Moreover, the safety of the plant extract was validated by performing acute toxicity. The findings revealed that this plant is a rich source of protein, carbohydrates and minerals especially iron and, have high contents of polyphenols, flavonoids and tannins. The biological evaluation of the plant extracts exhibited a remarkable antioxidant content and, a wide antibacterial activity and yeast inhibition. The results indicated also that the tested extract is safe with an LD50 higher than 5000 mg.kg-¹. The study data suggest that S. hispanicus could be a promising functional and nutraceutical food with antioxidant and antimicrobial potential and can contribute to a balanced diet.
Developing Soft Skills in Teaching PAI
Authors: Albert Albert , Husni Arman 
Published: October 2023

Soft skills have a significant role in the development of the student's overall personality, thereby potentially enhancing their career prospect. In the context of teaching and learning, soft skills can be exposed integrally through the process of teaching and learning Islamic religious beliefs and values (PAI). This is based on the paradigm that teaching PAI ideally does not merely focus on how to achieve a good grade in doing the test, but also guides them to internalize the virtues for their soft skills development (good heart). Moreover, being good at number crunching and scoring high skills in the subject are not the only criteria for success in professional and personal life. For this reason, integrating soft skills into teaching PAI would help students to build and improve their skills, especially in interaction and the effective use of Islamic values. This paper highlights some strategies for developing students’ soft skills in teaching PAI. The discussion specifically is directed to the strategy of developing soft skills into personal skills in classroom technique.
Metafizyka <i>Ropy naftowej</i> Aleksieja Parszczikowa. Z zagadnień rosyjskiej petropoetyki
Authors: Banasiak Daniel Andrzej 
Published: October 2023

"Metafizyka Ropy naftowej Aleksieja Parszczikowa. Z zagadnień rosyjskiej petropoetyki"
Dyskurs o ropie naftowej obecny jest szczególnie we współczesnej literaturze rosyjskiej. Artykuł przedstawia rekonesans badawczy dotyczący tematyki paliw w rosyjskich tekstach literatury i kultury. Za pomocą narzędzi hermeneutycznych zbadano wiersz Ropa naftowa (1998) Aleksija Parszczikowa. Twórca, piszący w duchu rosyjskiego metarealizmu, poetyzuje, metaforyzuje złoża ropy, tym samym unika trudnych pytań o rosyjski imperializm czy ochronę środowiska naturalnego. Interesuje go ekscentryczna sieć metafor ewokujących metafizyczne wizje, pełnych odniesień do tekstów kultury z całego świata.
Monopolar stereoelectroencephalography-guided radiofrequency thermocoagulation
Authors: Minkin Krasimir T. , Gabrovski Kaloyan R. , Milenova Yoana T. , Karazapryanov Petar A. , Sirakov Stanimir S. , Dimova Petia S. 
Published: October 2023

OBJECTIVE
Stereoelectroencephalography (SEEG)–guided radiofrequency thermocoagulation (RFTC) has the advantage of producing a lesion in the epileptogenic zone (EZ) at the end of SEEG. The majority of published SEEG-guided RFTCs have been bipolar and usually performed between contiguous contacts of the same electrode. In the present study, the authors evaluate the safety, efficacy, and benefits of monopolar RFTC at the end of SEEG.

METHODS
This study included a series of 31 consecutive patients who had undergone RFTC at the end of SEEG for drug-resistant focal epilepsy in the period of January 2013–December 2019. Post-RFTC seizure control was assessed after 2 months and at the last follow-up visit. Twenty-one patients underwent resective epilepsy surgery after the SEEG-guided RFTC, and the postoperative seizure outcome among these patients was compared with the post-RFTC seizure outcome.

RESULTS
Four hundred forty-six monopolar RFTCs were done in the 31 patients. Monopolar RFTCs were performed in all cortical areas, including the insular cortex in 11 patients (56 insular RFTCs). There were 31 noncontiguous lesions (7.0%) because of vascular constraints. The volume of one monopolar RFTC, as measured on T2-weighted MRI immediately after the procedure, was between 44 and 56 mm3 (mean 50 mm3). The 2-month post-RFTC seizure outcomes were as follows: seizure freedom in 13 patients (41.9%), ≥ 50% reduced seizure frequency in 11 (35.5%), and no significant change in 7 (22.6%). Seizure outcome at the last follow-up visit (mean 18 months, range 2–54 months) showed seizure freedom in 2 patients (6.5%) and ≥ 50% reduced seizure frequency in 20 patients (64.5%). Seizure freedom after monopolar RFTC was not significantly associated with the number or location of coagulated contacts. Seizure response after monopolar RFTC had a high positive predictive value (93.8%) but a low negative predictive value (40%) for seizure outcome after subsequent resective surgery. In this series, the only complication (3.2%) was a limited intraventricular hematoma following RFTC performed in the hippocampal head, with spontaneous resolution and no sequelae.

CONCLUSIONS
The use of monopolar SEEG-guided RFTC provides more freedom in terms of choosing the SEEG contacts for thermocoagulation and a larger thermolesion volume. Monopolar thermocoagulation seems particularly beneficial in cases with an insular EZ, in which vascular constraints could be partially avoided by making noncontiguous lesions within the EZ.
First United States multicenter experience with the new-generation FRED X surface-modified flow diversion stent: feasibility, safety, and short-term efficacy
Authors: Abbas Rawad , Lan Matthews , Naamani Kareem El , Atallah Elias , Salem Mohamed , Burkhardt Jan-Karl , Kühn Anna Luisa , Puri Ajit , Monteiro Andre , Levy Elad I. , Herial Nabeel A. , Gooch M. Reid , Jabbour Jeffrey , Rosenwasser Robert , Tjoumakaris Stavropoula I. 
Published: October 2023

OBJECTIVE
Flow diversion created a paradigm shift in the treatment of intracranial aneurysms. The new flow redirection endoluminal device with X technology (FRED X) is the latest update of the recent Food and Drug Administration–approved FRED. The FRED X is engineered to reduce material thrombogenicity and enhance vessel healing. In this study, the authors aimed to evaluate the feasibility and early safety and efficacy of the new FRED X.

METHODS
The authors retrospectively collected and analyzed data from patients who had undergone flow diversion with the new FRED X at four tertiary cerebrovascular centers in the United States from February 2022 through July 2022.

RESULTS
Forty-four patients with 45 aneurysms treated using 46 devices comprised the overall study cohort and were divided into two groups: 39 patients with unruptured aneurysms and 5 patients with ruptured aneurysms. The mean patient age was 57.7 ± 9.1 years, and most patients were female (84%). Ninety-one percent of the aneurysms were saccular, with the majority (93%) located in the anterior circulation, specifically the posterior communicating (27%) and carotid ophthalmic (27%) territories. The mean maximum aneurysm diameter was 5.6 ± 4.6 mm, and 20% of the lesions had been previously treated. The mean procedure time was 61.6 minutes, with a mean cumulative fluoroscopy time of 24.6 minutes. Additionally, 7% of the lesions received adjunct treatment. Stent placement was successful in 100% of cases, achieving good wall apposition and complete neck coverage. Further, immediate aneurysm contrast stasis > 90% was observed in 61% of cases. Symptomatic postoperative complications occurred in 3 patients in the unruptured cohort and 1 patient in the ruptured cohort. All patients in the study were discharged on dual antiplatelet regimens with a modified Rankin Scale score of 0. At 6 months after treatment, 89% of cases had adequate occlusion, with < 6% of cases having asymptomatic in-stent stenosis. All patients had excellent functional outcomes.

CONCLUSIONS
FRED X for the treatment of an intracranial aneurysm is technically feasible alone or in conjunction with intrasaccular embolization. In addition, the study results showed very promising early safety and efficacy. Follow-up studies should establish the long-term safety and efficacy profiles of this new stent.
A guide to finite element analysis models of the spine for clinicians
Authors: Wang Marjorie C. , Kiapour Ali , Massaad Elie , Shin John H. , Yoganandan Narayan 
Published: October 2023

Finite element analysis (FEA) is a computer-based mathematical method commonly used in spine and orthopedic biomechanical research. Advances in computational power and engineering modeling and analysis software have enabled many recent technical applications of FEA. Through the use of FEA, a wide range of scenarios can be simulated, such as physiological processes, mechanisms of disease and injury, and the efficacy of surgical procedures. Such models have the potential to enhance clinical studies by allowing comparisons of surgical treatments that would be impractical to perform in human or animal studies, and by linking model results to treatment outcomes. While traditional ex vivo experiments are limited by variabilities in tissue, the complexity of test setup, cost, measurable biomechanical parameters, and the repeatability of experiments, FEA models can be used to measure a wide range of clinically relevant biomechanical parameters. Generic or patient-specific anatomical models can be modified to simulate different clinical and surgical conditions under simulated physiological conditions.
Despite these capabilities, there is limited understanding of the clinical applicability and translational potential of FEA models. For spine surgeons, a comprehensive understanding of the key features, strengths, and limitations of FEA models of the spine and their ability to personalize treatment options and assist in clinical decision-making would significantly enhance the impact of FEA research. Furthermore, fostering collaborations between surgeons and engineers could augment the clinical use of these models.
The purpose of this review was to highlight key features of FEA model building for clinicians. To illustrate these features, the authors present an example of the use of FEA models in comparing FDA-approved disc arthroplasty implants.
Analisis Perilaku Konsumen terhadap Keputusan Pembelian Sayuran Hidroponik di Kota Padang
Authors: Paloma Cindy , Raesi Syahyana , Yusmarni Yusmarni 
Published: October 2023

Hidroponik merupakan sayuran yang mendukung pola hidup sehat masyarakat perkotaan. Supermarket modern menjual produk sayuran hidroponik dari berbagai produsen dengan harga yang bersaing. Penelitian ini bertujuan untuk menganalisis perilaku konsumen terhadap pengambilan keputusan pembelian sayuran hidroponik di Kota Padang. Penelitian dilakukan bulan April-Mei 2023 di 4 supermarket di Kota Padang, kepada 100 konsumen. Variabel yang digunakan adalah tahapan proses pengambilan keputusan yang dianalisis dengan statistik deskriptif dari tabulasi distribusi frekuensi. Hasil penelitian ini menunjukkan karakteristik konsumen adalah 37% berada pada rentang umur 20-30 tahun, 85% perempuan, berpendidikan dan berpenghasilan tinggi. Perilaku konsumen sayuran hidroponik, dalam pengambilan keputusan dimulai dari tahapan pengenalan kebutuhan, yang mementingkan pola makanan sehat. Tahapan kedua, pencairan informasi dilakukan secara aktif dengan mengunjungi supermarket modern yang ada di kota Padang, karena pentingnya kepedulian konsumen terhadap konsumsi sayuran hidroponik dan keyakinan keaslian produk hidroponik. Tahapan ketiga pada evaluasi alternatif yaitu alasan tujuan pembelian menunjang pola hidup sehat masyarakat perkotaan, tahapan keempat keputusan pembelian sayuran hidroponik frekuensinya lebih dari 3 kali selama satu bulan, dan memilih supermarket modern karena nyaman untuk dikunjungi dan jam operasional supermarket lebih lama. Tahapan kelima perilaku pasca pembelian, konsumen sangat puas terhadap sayuran hidroponik yang ada di supermarket dan 82 persen akan melakukan pembelian secara rutin. Pola hidup sehat pada masyarakat perkotaan melalui konsumsi sayuran hidroponik, mendatangkan manfaat bisnis bagi produsen dan pemasok (supermarket).
Process Validation of Paracetamol Tablets: A Comprehensive Study Based on ICH Guidelines
Authors: Bhatia Ritika , Tanwar Mo. Firoj , Goyal Rakesh , Agarwal Dilip 
Published: October 2023

This research paper aims to provide a comprehensive understanding of the process validation of Paracetamol tablets according to the guidelines outlined by the International Council for Harmonisation of Technical Requirements forPharmaceuticals for Human Use (ICH). Paracetamol is a widely used analgesic and antipyretic drug, and ensuring the quality, safety, and efficacy of its dosage form is of utmost importance. This study encompasses the three stages of process validation, namely process design, process qualification, and continued process verification, with a focus oncritical parameters and attributes. The article also explores the role of regulatory guidelines, such as the ICH Q8 (R2), Q9,and Q10, in facilitating effective process validation. (1)
Key words: Process Validation, ICH, CPP, CQA, SPC, Change Control, VMP;