bluuebunny/crossref_metadata_2025_split huggingface dataset:
Energy Efficient Noise Error Pattern Generator for Guessing Decoding in Bursty Channels
Authors: Zhou Qiang , Zhan Ming , Zhang Jiangwu , Pang Zhibo , Yu Kan , Wu Fang 
Published: November 2023

Abstract
For the hard guessing random additive noise decoding Markov order (GRAND-MO) algorithm used in bursty channels, this paper presents an efficient noise error patterns (NEPs) generator. By converting the NEPs generation process into practical engineering realization, the ''1" and ''0" burst permutations are generated in a sequentially manner. Then the novel permutation regularization and bit flipping techniques are proposed to construct the NEPs. Without using the coding structure related syndromes, the proposed NEPs generator can generate all NEPs for given burst parameters, and is suitable to the guessing decoding of any linear block codes. Built on field programmable gate array (FPGA) implementation and comparison with existing benchmark, it shows the proposed NEPs generator is a power-efficient architecture for realization. This work presents a new solution for the hardware implementation of the NEPs generator in GRAND-MO.
A New Computer Vision Prototype for Document Cross Strokes Analysis in a Portable and Non-Destructive Way
Authors: Vale Daniella Lopez , Dutra João Victor Sousa , Barboza Rodolfo Santos , Michel Ricardo Cunha , Vale Luiz Carlos Sousa , Modesto Mateus 
Published: November 2023

Abstract
Documentoscopy is a specialized field in criminalistics that verifies the authenticity of suspect documents during fraud investigations, providing crucial forensic evidence. Traditional documentoscopy relies on costly scanning electron microscopy (SEM), subject to bias, with an accuracy of about 63% in determining stroke sequences. Recent advancements led to cost-effective alternatives. Using Computer Vision (CV) and Convo-lutional Neural Networks (CNN), a prototype was developed to identify document fraud by analyzing stroke overlap. This electronic eye captures document images inexpensively, automatically, and non-destructively, followed by CNN-based analysis to classify stroke overlap due to different pens and inks. The prototype used with 2052 images of intersecting lines from various pens and inks, achieved over 94% accuracy for training data and over 65% for testing data, surpassing traditional documen-toscopy accuracy. The prototype is simple, affordable, user-friendly without specialized technicians, portable for fieldwork, and non-destructive, preserving samples for forensic counterproof in future investigations.
Clinical performance and utility of a noninvasive urine-based methylation biomarker—TWIST1/Vimentin to detect urothelial carcinoma of the bladder
Authors: zhang chanchan , Xu Xiaohong , Wang Tao , Lu Yan , Lu Zhiheng , Wang Tuantuan , Pan Zhiwen 
Published: November 2023

Abstract
Traditional clinical modalities for diagnosing bladder urothelial carcinoma (BUC) remain limited due to their invasive nature, significant costs, discomfort associated with cystoscopy, and low sensitivity to urine cytology. Therefore, there is an urgent need to identify highly sensitive, specific, and noninvasive biomarkers for the early detection of this neoplasm. Hypermethylated TWIST1/Vimentin promoter may be a noninvasive biomarker using urine sample. We assessed the TWIST1/Vimentin promoter methylation status in urine samples using the Methylated Human TWIST1 and Vimentin Gene Detection Kit (Jiangsu MicroDiag Biomedicine Co., Ltd., China). The samples were collected from four groups: group 1 consisted of patients with BUC, group 2 contained other patients with urologic tumors, group 3 consisted of patients with benign diseases, Group 4 included UTUC patients and group5 comprised healthy individuals. The study encompassed 77 BUC patients, and we evaluated the degree of methylation of the TWIST1/Vimentin gene in their urine samples. Notably, TWIST1/Vimentin positivity was significantly elevated in comparison to groups 2, 3 and 5(all p < 0.001) at a rate of 77.9%, but no significant difference was observed when compared to group 4. In the multivariable analysis for cancer detection, a positive TWIST1/Vimentin methylation were significantly linked to a heightened risk of BC. Moreover, TWIST1/Vimentin promoter methylation demonstrated an ability to detect BUC in urine samples with a sensitivity of 78% and a specificity of 83%. Our findings reveal that hypermethylation of the TWIST1/Vimentin promoter occurs in bladder urothelial carcinoma, and its high sensitivity and specificity suggest its potential as a screening and therapeutic biomarker for urothelial carcinoma of the bladder.
On the structure of entropy solutions to the Riemann problem for a degenerate nonlinear parabolic equation
Authors: Panov Evgeny Yu. 
Published: November 2023

Abstract
We find an explicit form of entropy solution to a Riemann problem for a degenerate nonlinear parabolic equation with piecewise constant velocity and diffusion coefficients. It is demonstrated that this solution corresponds to the minimum point of some strictly convex function of a finite number of variables.
MSC Classification: 35K55 , 35K65 , 35L65 , 35C06 , 35R35
Identification of lactylation-related subgroups and prognosis model in hepatocellular carcinoma
Authors: Liu Wanghu , Fan Simin , Gao Xuanji , Zhu Shajun 
Published: November 2023

Abstract
Background: Hepatocellular carcinoma (HCC) is a prevalent form of cancer. Lactylation contributes to the spread and proliferation of HCC. Although few studies have examined lactylation in constructing prognostic signatures of HCC, this project seeks to develop a novel scoring system based on lactylationrelated genes (LRGs) for predicting HCC prognosis, immunotherapy, single-cell sequencing, and drug sensitivity.
Methods: LRGs were derived from original research. The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases contained the HCC transcriptional profile and clinical information. We developed a prognostic model for HCC patients and investigated the enrichment pathways and immune microenvironments among different groups. Ultimately, we presented a new LRGs-dependent nomogram to clinical experts and direction for future individualized cancer immunotherapy.
Results: Eleven lactylation-related DEGs associated with survival in HCC were identified, from which five genes were chosen for prognostic model construction. The risk score was identified as a prognostic factor independently. Functional analysis revealed two subtypes with different medication sensitivity and immune statuses. Next, risk scores and HCC clinicopathological features were combined to develop a nomogram. The decision curve analysis (DCA) analysis indicated that this model provides advantages to clinical treatment strategies.
Conclusion: The established five-LRGs signature derived from our research may aid clinical doctors in making individualized treatment decisions for HCC patients.
Illuminating the Path of Post-Quantum Cryptographic Protocols: A Survey of some Recent Literatures
Authors: Kefas Alvary , Mishra Alpna , Kant Shri 
Published: November 2023

Abstract
The imminent threat posed by quantum computers to modern public key cryptography has spurred the development of post-quantum cryptography (PQC) algorithms. Over the last two decades, the field of PQC research has thrived, yielding a diverse range of algorithms resilient against quantum attacks. These PQC algorithms are undergoing selection and standardization by prominent bodies ; such as National Institute of Standards and Technology (NIST). However, the challenge remains substantial, given the monumental task of migrating numerous new devices to PQC algorithms. This complex, multi-decade transition from classical cryptography to PQC, necessitates careful survey of research articles to consider the current post quantum cryptographic schemes, and key protective strategies against quantum threats, implementation feasibility, compliance and challenges of implementations. This will provide insight and future directions for new researchers and organizations. .
An Efficient IoT DataStream Prediction using Integrated Federated Learning with CRSO of Attention-based LSTM Framework
Authors: El-Saied Asma M. 
Published: November 2023

Abstract
Real-time data stream processing presents a significant challenge in the rapidly changing Internet of Things (IoT) environment. Traditional centralized approaches face hurdles in handling the high velocity and volume of IoT data, especially in real-time scenarios. In order to improve IoT DataStream prediction performance, this paper introduces a novel framework that combines federated learning (FL) with a competitive random search optimizer (CRSO) of Long Short-Term Memory (LSTM) models based on attention. The proposed integration leverages distributed intelligence while employing competitive optimization for fine-tuning. The proposed framework not only addresses privacy and scalability concerns but also optimizes the model for precise IoT DataStream predictions. This federated approach empowers the system to derive insights from a spectrum of IoT data sources while adhering to stringent privacy standards. Experimental validation on a range of authentic IoT datasets underscores the framework's exceptional performance, further emphasizing its potential as a transformational asset in the realm of IoT DataStream prediction. Beyond predictive accuracy, the framework serves as a robust solution for privacy-conscious IoT applications, where data security remains paramount. Furthermore, its scalability and adaptability solidify its role as a crucial tool in dynamic IoT environments.
Impact of de-icing salt runoff in spring on bioretention efficiency
Authors: Beral Henry , Dagenais Danielle , Brisson Jacques , Kõiv-Vainik Margit 
Published: November 2023

Abstract

We investigated the effect of de-icing salt in stormwater runoff on bioretention system hydrology and filtration of contaminants. Salt runoffs during the snow melt period were simulated in 20 mesocosms planted with 1 of 3 plant species (Cornus sericea, Juncus effusus and Iris versicolor) or left unplanted, and then watered with semi-synthetic stormwater runoffs supplemented with 4 NaCl concentrations (0, 250, 1,000 or 4,000 mg Cl/L). All bioretention mesocosms, irrespective of treatment, were efficient in reducing water volume, flow and pollution level. There was no phytotoxic effect of NaCl on plants, even at the highest NaCl concentration tested. Water volume reduction and flow rate were influenced by plant species, but salt concentration had no effect. Salt runoffs significantly increased the removal of some metals, such as Cr, Ni, Pb and Zn, but had no effect on nutrient removal. Because snowmelt laden with de-icing salt is of short duration and occurs during plant dormancy, plants in bioretention may be less affected by de-icing salt than previously thought, provided that salinity decreases rapidly to normal levels in the soil water. The long-term effects of de-icing salt and general performance of bioretention should be further studied under full-scale conditions.
Removal of 17α-ethinylestradiol (EE2) from aqueous solutions by peanut shells (Arachis hypogaea): adsorption kinetic, isothermal, and thermodynamic studies
Authors: Procópio Alley Michael da Silva , Andrade Fabrício Vieira de , Silva Flávio Soares , de Andrade Sandro José 
Published: November 2023

Abstract
This study evaluated the potential of using raw peanut shells as an adsorbent to remove the hormone 17α-ethylestradiol (EE2) from water. High-performance liquid chromatography with fluorescence detection was used in the determination of EE2. Kinetics data were tested with the pseudo-first-order, pseudo-second-order, and Elovich models, whereas isothermal data were tested with the Langmuir, Freundlich, and Sips models, and the parameters (ΔG°, ΔH° and ΔS°) were evaluated. A maximum removal rate of approximately 90% was observed in a solution with an initial EE2 concentration of 263.2 μg L−1, under the best experimental conditions (stirring speed = 500 rpm, pH = 6, and adsorbent mass = 2 g in 24 h), and showed an adsorption capacity of 17.3 μg g−1 at 306 K. The pseudo-first-order model adjusted better to the data in the studied temperature range, presenting a potential barrier of 16.69 kJ mol−1 (Ea) for adsorption kinetics. The Freundlich model and Sips model adjusted better to the data in the studied temperature range. The negative value of ΔG° (−15.87 kJ mol−1 at 306 K) confirmed the viability and spontaneity of the adsorption process. The positive value of ΔH° (168.9 kJ mol−1) characterized the chemical nature of the adsorption process.
Przemiany architektury kościoła parafialnego w Koźlu od schyłku XIII do końca XVI wieku
Authors: Legendziewicz Andrzej , Peszko Andrzej 
Published: November 2023

Artykuł prezentuje wyniki badań kościoła parafialnego pw. św. Zygmunta i św. Jadwigi Śląskiej w Koźlu. We wstępie przedstawiono analizę skromnych źródeł pisanych oraz ikonograficznych, a także omówiono dotychczasową literaturę. Bazując na badaniach architektonicznych, analizie porównawczej oraz informacji z 1293 r. wydzielono najstarsze partie, obejmujące dwuprzęsłowe prezbiterium, którego budowę osadzono w drugiej połowie XIII wieku. Data przekazania patronatu nad świątynią Zakonowi Rycerskiego Szpitala św. Jana w Jerozolimie pozostaje nieznana, mogła to mieć miejsce w I połowie XIV wieku. Taką datację potwierdza wzmianka o kaplicy NMP w 1323 r. Pierwsza wzmianka o komturze pochodzi dopiero z 1392 r. Prawdopodobnie kaplica mogła powstać po południowej stronie chóru w I połowie XIV wieku, a nieco później powiększono prezbiterium. Pseudohalowy trójnawowy korpus z wieżą wzniesiono przypuszczalnie w II połowie XV wieku. Dekorację sgraffitową elewacji, przebudowę kaplicy NMP oraz dach wieży około 1570 r. ufundował Jan von Oppersdorff.
Current use of Molecular Mechanisms and Signaling Pathways in Targeted Therapy of Prostate Cancer
Authors: Keyvani Vahideh , Mollazadeh Samaneh , Kheradmand Nahid , Mahmoudian Reihaneh Alsadat , Avan Amir , Anvari Kazem 
Published: November 2023

Abstract:
Prostate cancer (PC) is identified as a heterogeneous disease. About 20 to 30% of PC patients experience
cancer recurrence, characterized by an increase in the antigen termed serum prostate-specific antigen (PSA).
Clinical recurrence of PC commonly occurs after five years. Metastatic castration-resistant prostate cancer
(mCRPC) has an intricate genomic background. Therapies that target genomic changes in DNA repair signaling
pathways have been progressively approved in the clinic. Innovative therapies like targeting signaling
pathways, bone niche, immune checkpoint, and epigenetic marks have been gaining promising results for better
management of PC cases with bone metastasis. This review article summarizes the recent consideration of
the molecular mechanisms and signaling pathways involved in local and metastatic prostate cancer, highlighting
the clinical insinuations of the novel understanding.
Updates in the Pharmacotherapy of Pulmonary Hypertension in Patients
with Heart Failure with Preserved Ejection Fraction
Authors: Segovia Fernando , Garcia Hernando , Alkhateeb Haider , Mukherjee Debabrata , Nickel Nils 
Published: November 2023

Abstract:
Pulmonary hypertension (PH) associated with left heart disease (LHD) is a complex
cardiopulmonary condition where a variable degree of pulmonary congestion, arterial vasoconstriction
and vascular remodeling can lead to PH and right heart strain. Right heart dysfunction
has a significant prognostic impact on these patients. Therefore, preserving right ventricular
(RV) function is an important treatment goal. However, the treatment of PH in patients with left
heart disease has produced conflicting evidence. The transition from pure LHD to LHD with PH
is a continuum and clinically challenging. The heart failure with preserved ejection fraction
(HFpEF) patient population is heterogeneous when it comes to PH and RV function. Appropriate
clinical and hemodynamic phenotyping of patients with HFpEF and concomitant PH is paramount
to making the appropriate treatment decision. This manuscript will summarize the current
evidence for the use of pulmonary arterial vasodilators in patients with HFpEF.
Underwater Image Enhancement based on Retinex Decomposition and Unsupervised Generative Adversarial Networks
Authors: Lai Yong , Zhang Xuebo , He Zhouyan , Song Yang , Luo Ting , Xu Haiyong 
Published: November 2023

Background::
Due to the difficulty of obtaining the real dataset of paired underwater
images, it is urgent to build an unsupervised underwater image enhancement network.

Objective::
To address the problem, a novel underwater image enhancement based on Retinex decomposition
and Unsupervised Generative Adversarial Network (RUGAN) is proposed.

Method::
A color correction module is proposed considering the different color distortions of underwater
images. Further, considering the human visual perception mechanism, the RUGAN network,
which is similar to U-Net, is constructed using the characteristics of underwater imaging
and Retinex decomposition. Based on Retinex decomposition and the characteristics of underwater
imaging, the RUGAN network similar to U-Net is constructed. The reflectance image and illumination
image are obtained. The reflectance image with a better effect is taken as the enhancement
result. Unlike the previous supervised methods, RUGAN adopts clear air images and
distorted underwater images as training. RUGAN adopts the underwater image of the color correction
module as pseudo-ground truth to achieve an unsupervised effect.

Results::
The superiority of RUGAN network is further supported by extensive experiments that
compared it with more methods.

conclusion:
The proposed RUGAN achieves better results both subjectively and objectively.
Косвенное свидетельство нереалистичности 2к-реконструкции глобальной температуры воздуха за последние 2000 лет
Authors: Вакуленко Надежда , Даценко Нина , Сонечкин Дмитрий 
Published: November 2023

Цель. Оценивается временной энергетический спектр недавно опубликованной группой PAGES 2к 2000-летней реконструкции средней глобальной приземной температуры воздуха.
Методы и результаты. Для получения устойчивой оценки энергетического спектра 2k-реконструкции было применено непрерывное вейвлетное преобразование с вейвлетной функцией Морле. Затем был произведен расчет временного энергетического спектра этой реконструкции с последующим определением наклона спектральной плотности в двойном логарифмическом диапазоне временных масштабов от сотни до нескольких сотен лет.
Выводы. Высокочастотная часть полученного энергетического спектра с периодами примерно от 50 до 100 лет имеет характер «красного» шума, а низкочастотная часть с последующими периодами, примерно от 100 до 500 лет, оказывается имеет характер «белого» шума, т.е. спектральная плотность в нем не меняется с изменением длины периода. Это является неестественным для всех встречающихся в природе турбулентных движений. Отсюда делается вывод, что рассматриваемая 2к-реконструкция не может отражать реальные изменения глобальной приземной температуры воздуха за последние 2000 лет.
PENGARUH ASESMEN FORMATIF, PERAN GURU, DAN P5 DALAM KURIKULUM MERDEKA TERHADAP HASIL BELAJAR SISWA AKL
Authors: Putri Cindy Ayuna , AR Amirul 
Published: November 2023

Kurikulum di Indonesia mengalami banyak perkembangan seiring dengan berkembangnya kondisi Negara, dan yang terbaru adalah Kurikulum Merdeka. Perubahan kurikulum yang dilakukan dalam kurun waktu yang singkat tentu akan memberikan dampak pada implementasinya di sekolah. Menurut Kepala BSKAP, terjadi miskonsepsi dari pihak pelaksana yakni guru terkait dengan implementasi Kurikulum Merdeka di sekolah dengan kondisi ideal yang ditetapkan oleh standar kurikulum, sedangkan di dalam kurikulum merdeka, guru berperan sebagai penggerak dan memegang kunci penting dalam implementasinya. Miskonsepsi pada kalangan guru turut mempengaruhi pelaksanaan dari asesmen formatif dan kegiatan P5 yang merupakan bagian penting dari kurikulum merdeka itu sendiri. Penelitian ini bertujuan untuk mengetahui pengaruh asesmen formatif, peran guru, dan P5 terhadap hasil belajar siswa. Penelitian ini menggunakan metode kuantitatif-casual research dengan sampel penelitian sebanyak 108 responden yang merupakan siswa kelas X AKL SMKN 1 Kemlagi. Berdasarkan pengujian secara simultan dan parsial ditemukan adanya pengaruh secara signifikan antara asesmen formatif, peran guru, dan P5 terhadap hasil belajar siswa
City branding Kabupaten Sumedang melalui program Sumedang Happy Digital Region
Authors: Yuniawati Femilia , Bakti Iriana , Nugraha Aat Ruchiat 
Published: November 2023

Latar Belakang: Penelitian ini dilatarbelakangi oleh Kebijakan Perpres No.95 Tahun 2018 tentang peraturan Sistem Pemerintahan Berbasis Elektronik (SPBE) serta Sumedang yang memiliki nilai indeks SPBE rendah dan dihadapkan dengan tiga disrupsi, di antaranya pandemi, digital, dan milenial. Latar bekakang inilah yang mendorong Kota Sumedang diharuskan untuk membuat sebuah inovasi. Tujuan: Penelitian ini bertujuan untuk mengetahui strategi city branding melalui Program Sumedang Happy Digital Region yang dilakukan oleh Diskominfosanditik. Metode: Penelitian ini menggunakan metode penelitian deskriptif yaitu sebuah metode yang menjabarkan fenomena atau keadaan sosial dengan menggunakan pendekatan kualitatif. Pengumpulan data dilakukan dengan wawancara, observasi, dan studi kepustakaan. Teknik penentuan key informant adalah purposive sampling dan teknik validasi data yang digunakan yaitu triangulasi data/sumber. Hasil: Hasil penelitian menunjukkan program city branding menekankan kelebihan Kabupaten Sumedang serta melakukan kerja sama dengan Provider Jaringan untuk mendukung identitas sebagai Kabupaten Digital, nominated outcomes atau tujuan yang ingin dicapai ialah meciptakan sistem e-government untuk meningkatkan reputasi kota. Tidak hanya itu, Kota Sumedang juga mendorong adanya peningkatan pelayanan publik digital untuk menarik investor, sehingga dapat meningkatkan perekonomian, dan menarik wisatawan ke Kabupaten Sumedang. Dalam upaya menyebarkan informasi menggunakan komunikasi on air dan off air, coherence atau tindakan yang dilakukan untuk mendukung program yaitu melalui tools berupa aplikasi atau website yang dapat diakses yaitu E-office, E-office Desa, dan Tahu Sumedang.
Model motif penggunaan dan perilaku membagikan informasi dari aplikasi Tiktok
Authors: Khoiriah Wahidah Itsniattin Nur , Erliana Elien , Koswara Iwan , Fuady Ikhsan , Maitsi Hani Najwa 
Published: November 2023

Latar Belakang: Meningkatnya penggunaan media sosial salah satunya adalah Tiktok di masa pandemi covid 19 menjadi fokus untuk penelitian ini mencoba memahami apa yang mendorong seseorang untuk menggunakan aplikasi Tiktok. Tujuan: Penelitian ini bertujuan untuk melihat model faktor yang mempengaruhi niat pengguna aplikasi TikTok, serta mencari tahu faktor-faktor yang mempengaruhi perilaku untuk berbagi informasi pada aplikasi Tiktok. Metode: Penelitian ini menggunakan kerangka teori TAM (Technology Acceptance Model) dan metode kuantitatif. Populasi yang diambil merupakan para mahasiswa yang menggunakan Tiktok di Pulau Jawa. Sampel penelitian ini sejumlah 385 responden yang diambil secara convenience sampling. Kemudian data diolah dengan menggunakan software SPSS dan LISREL. Hasil: Temuan penelitian ini menunjukkan bahwa model motif penggunaan dan intensi berbagi memiliki model goodnes of fit yang baik dengan RMSEA; 0.072, NFI;0.90, CFI;0.93, GFI;0.88. Hasil uji parsial menunjukkan motif Perceived Ease of Use dan Perceived Enjoyment mempengaruhi niat dalam Intention to Use, kemudian Intention to Use juga mempengaruhi niat dalam Information Sharing Intention. Akan tetapi, Perceived Usefulness tidak berpengaruh terhadap niat dalam Intention to Use. Temuan penelitian ini menunjukkan bahwa dalam upaya peningkatan partisipasi individu dalam menggunakan sosial media khususnya dan perilaku berbagi informasi tiktok, sebaiknya memperhatikan bagaimana persepsi individu akan kemudahan, kemanfaatan, dan kesenangan dalam penggunaan teknologi.