bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptomic insights into archaeal nitrification in the Amundsen Sea Polynya, Antarctica
Authors: Gwak Joo-Han , Awala Samuel Imisi , Kim So-Jeong , Lee Sang-Hoon , Yang Eun-Jin , Park Jisoo , Jung Jinyoung , Rhee Sung-Keun 
Published: April 2023

Abstract
Background
Ammonia-oxidizing archaea (AOA) are among the most ubiquitous and abundant microorganisms in the ocean, and play a primary role in the global nitrogen cycle. Antarctic polynyas are ecological hotspots with the highest primary productivity in the Southern Ocean during summer, and their production and formation reflect anthropogenic climate change. Strong seasonal variations in AOA abundance from winter to summer may have affected marine nitrification. We utilized metagenomics and metatranscriptomics to gain insights into the physiology and metabolism of AOA in polar oceans, which are associated with ecosystem functioning.
Results
A polar-specific ecotype of AOA, from the “Candidatus Nitrosomarinus”-like group, was observed to be dominant in the Amundsen Sea Polynya (ASP), West Antarctica, during a succession of summer phytoplankton blooms. AOA had the highest transcriptional activity among prokaryotes during the bloom decline phase (DC). Expression rank profiles for transcripts of key genes involved in ammonia oxidation (e.g., genes encoding subunits of ammonia monooxygenase, NirK, ferredoxin, and plastocyanin) and carbon fixation (3-hydroxypropionate/4-hydroxybutyrate cycle) indicated that AOA are actively involved in nitrification in the bloom DC. The highly ranked transcripts of flavodoxin and superoxide dismutase genes imply that AOA are exposed to iron limitation and ROS toxicity, respectively. The expression of high-affinity ammonia transporter (Amt2) gene, together with the absence of urea utilization-related genes, indicates that ammonia is a major source of AOA nitrification. The Phn system may aid AOA in acquiring phosphorus-containing compounds. The expression patterns of cdvA and cdvB also support the active cell division and cellular processes of AOA in the bloom DC.
Conclusions
The polar-specific ecotype AOA of “Candidatus Nitrosomarinus”-like group was found to be the representative AOA in the ASP, West Antarctica. Metatranscriptomic analysis of key genes involved in ammonia oxidation, carbon fixation, transport, and cell division indicated that this polar ecotype AOA was actively involved in nitrification in the bloom DC in the ASP. This study revealed the physiological and metabolic traits of this key polar-type AOA in response to phytoplankton blooms in the ASP and provided insights into AOA functions in polar oceans.
Bi-functional C5 antibody-CR1 fusion for complement inhibition
Authors: Gong Yuemin , Chai Xingxing , Jia Jinsong , Wang Huaquan , Guo Ruowen , Yang Hongzhou , Liu Yunhua , Ma Haili , Liu Heng , He Guangsheng , Li Jianyong 
Published: April 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
On the Existence and Uniqueness Theory: A Generalized Fractional Impulsive p-Laplacian BVP
Authors: Chabane Farid , Benbachir Maamar , Etemad Sina , Rezapour Shahram , Avcı Ibrahim 
Published: April 2023

Abstract
This work investigates the boundary value problem (BVP) of impulsive differential equations (DEs) with a nonlinear ρ−Caputo fractional and p-Laplacian operator. To prove the existence and uniqueness of solutions, we employ Schauder’s and Schaefer’s fixed point theorems, along with the Banach contraction principle. Additionally, we present two examples to show the practical applications and significance of our main results. Our study provides a new perspective on impulsive DEs with fractional and p–Laplacian operators and contributes to the development of the theory of impulsive DEs.
AMS Subject Classi cation: Primary 34A08; 34B15; secondary 34B27
A generalized framework for designing open-source natural hazard parametric insurance
Authors: Steinmann Carmen B. , Guillod Benoît P. , Fairless Christopher , Bresch David N. 
Published: April 2023

Abstract
Insurance plays a crucial role in rebuilding after devastating events caused by natural hazards. However, the insurance protection gap (the difference between economic and insured damages) has been growing over the past 40 years. An innovative solution with the potential to contribute to closing this widening gap is parametric insurance schemes. Payouts are triggered by real-time hydro-/meteorological parameters rather than assessed damages, can be settled swiftly and ensure liquidity. In this work we propose a generalized framework for designing globally consistent parametric insurance schemes. One crucial aspect in the viability of parametric schemes is understanding the basis risk: the difference of the index-based payout and the actual damage. A systematic quantification of basis risk captures uncertainties and allows parametric insurance even in data scarce areas. Furthermore, building on open-source data and methods makes products accessible to low income stakeholders. We implement the framework in the open-source global risk assessment platform CLIMADA and illustrate it with two stylized parametric insurance case studies, targeting tropical cyclones in Mozambique and winter storms in France. Being globally-consistent, open-source, and readily available, the provided code base is easily adaptable to other hazards and exposures worldwide. This improves the accessibility to and the transparency of such innovative insurance schemes.
Designing a multi-epitope vaccine against chickenpox virus using in silico approach
Authors: Samuel Johnson , Borah Madhushruti , Castiglione Filippo , Patil Sharangouda J. 
Published: April 2023

Abstract
Human Herpesvirus 3 (HHV3), commonly known as the Varicella zoster virus (VZV), is a highly infectious α-herpesvirus that causes Varicella (chicken pox) on primary infection, as well as Herpes zoster (shingles) on latent reactivation. Life-threatening sequelae and complications such as post-herpetic neuralgia (PHN), meningoencephalitis, myelopathy, skin necrosis, etc. have also been observed in some immunocompromised individuals. Although effective vaccines have been developed against VZV, they are limited by the scope of vaccination and in some cases by the vaccine efficacy. Addressing the need for a much safer and more efficient vaccine, an in-silico approach-based study was carried out to design a multi-epitope vaccine against VZV. Accounting for their crucial role in the viral entry mechanism, the envelope glycoproteins were analyzed for potent epitopes that can induce cytotoxic T cells, Helper T cells, and B cells. These epitopes were further screened using various computational tools, for constructing a multi-epitope vaccine, via the addition of suitable linkers and an adjuvant. Antigenicity, allergenicity, conservancy, population coverage, and other physiochemical properties of the final vaccine construct were evaluated, post which their structural properties and the interaction patterns with TLR1 and TLR4 were analyzed. Further, the vaccine construct was subjected to molecular dynamics simulation studies, in order to assess its structural stability. Finally, the multi-epitope vaccine was codon optimized and cloned into the expression vector pET-28a+, to have it expressed efficiently in the K12 strain of E.Coli bacteria. The immune reactions triggered by the vaccine candidate were validated using immune simulation studies. Laboratory validation of the findings for its immunogenicity and safety can help in assessing the in vivo efficiency of the vaccine to prevent VZV infection.
Securing the Perceptual Layer of the Internet of Things (Iot) Devices Using Elliptic Curve Cryptography
Authors: Okediran T. M , Vincent O. R , Abayomi-Alli A. A , Adeniran O. J 
Published: April 2023

Abstract
The security of IOT layers has become very important considering the various attacks faced by IOT devices especially, the perceptual layer. Reported attacks in recent times include direct Denial of Service (DDoS), Botnet attack and Falsification attacks. Several security techniques in place can not be directly implemented on IOT devices; hence, there is a need to improve the research.This work has proposed an ECC based on binary field solution, there were three stages of implementation which includes device registration where each devices are recognised and locked against all forms of communication, device authentication for key agreement and unlocking, communication phase for exchange of information. It was implemented on a contactless ATM card and a mobile phone as an IOT devices used for electronic payment. The evaluation result for storage capacity showed that the mobile phone and the ATM card has the capacity to run ECC security protocol directly, the Jitter result obtained reveals that the Jitter value did not deviate from normal for both devices while, the computational time showed that it is computationally efficient to use ECC over binary field for the security of the perceptual layer.
Perubahan Konsumsi Pangan Nabati pada Orang Dewasa di Pulau Jawa Sehubungan Pandemi Covid-19
Authors: Putri Rialdi Athifah , Hardinsyah Hardinsyah , Aries Muhammad 
Published: April 2023

Pandemi Covid-19 menyebabkan terjadinya pembatasan mobilitas orang dan barang serta menurunkan akses dan daya beli masyarakat terhadap pemenuhan kebutuhan dasar termasuk pangan. Penelitian ini bertujuan menganalisis perubahan konsumsi pangan nabati pada wanita dan pria di Jawa sehubungan terjadinya pandemi Covid-19. Desain penelitian ini adalah cross sectional survey secara online menggunakan google form melalui website Kudata dan media sosial. Jumlah total subjek akhir sebanyak 2040 orang dewasa yang terdiri atas 1773 wanita dan 267 pria. Konsumsi pangan nabati dikelompokkan menjadi makanan pokok, kacang-kacangan, sayur, dan buah. Perubahan konsumsi pangan nabati adalah perbedaan konsumsi pangan nabati berdasarkan persepsi subjek secara kualitatif (meningkat, tetap, atau menurun) menurut kelompok pangan selama pandemi dibanding sebelum pandemi. Uji Mann Whitney digunakan untuk menganalisis perubahan konsumsi. Hasil penelitian menunjukkan baik pada wanita maupun pria terjadi peningkatan signifikan (p<0,01) konsumsi semua kelompok pangan nabati yaitu makanan pokok, kacang-kacangan, sayur, dan buah. Peningkatan konsumsi pangan nabati yang paling tinggi pada masing-masing kelompok pangan berturut-turut adalah beras, kacang kedelai, bayam, dan pisang. Peningkatan konsumsi pangan nabati yang paling rendah pada masing-masing kelompok pangan berturut-turut adalah jagung, kacang merah, ketimun, apel dan pear.
Factors Influencing the Intention for Early Retirement: A Case Study Among Teachers at Secondary Cluster Schools in Dungun, Terengganu
Authors: Muhammud Adida , Aziz Najdah Abd , Bakar Rubiah Abu , Harun Shahariah 
Published: April 2023

Purpose: Teachers’ roles in delivering classroom instructions and executing lessons in this 21st century is much bigger than assumed by many who are not in the teaching field. Some people perceived teaching is a stressful job and those who do not have the passion would give up after a certain number of years. Many have opted for early retirement and this number has increased year by year. Thus, this study aims to analyze the factors (health, school management and workload) that influence teachers’ intention towards early retirement.
Design/Methodology/Approach: 152 teachers were chosen from four cluster schools in Dungun, Terengganu and online questionnaires were distributed among them using Stratified Random Sampling Method. The data was analyzed using SPSS.
Findings: The results show only teachers’ health influence them towards early retirement intention. Meanwhile, the other factors are viewed as a challenge in the teaching world and would not influence them to opt for early retirement.
Implications/Originality/Value: This finding will assist the Ministry of Education in taking actions, to circumvent teachers from leaving their profession before reaching the compulsory retirement age. As a result, the school’s management will focus on improved alternatives in managing the teachers’ welfare and controlling the factors of early retirement among teachers.
MODERN DRUG SITUATION IN RUSSIA: STATE AND TRENDS
Authors: GONCHAROVA MARIY , BITSADZE GEORGIY 
Published: April 2023

Determining the state and trends of the drug situation in the Russian Federation is one of the urgent problems of state policy in the field of countering illicit drug trafficking aimed at protecting the health of citizens, ensuring state and public safety.
Based on official sources and departmental statistical reports, the article provides a criminological analysis of the drug situation, including an assessment of the consequences of non-medical drug use and the main indicators of drug trafficking for the period from 2018 to 2022 in the Russian Fed-eration. The main attention is paid to such indicators as the state, dynamics and structure of crimes in the field of illicit trafficking. Their tendencies associated with the action of a number of criminogenic and anticriminogenic factors (legal, political, informational, etc.) are determined.
The presented research results will allow timely identification of new criminal threats associated with drug trafficking, identify priority areas of preventive activities of law enforcement agencies, develop and apply the most effective preventive measures.
THE USE OF 3D MODELING IN FORENSIC EXPLOSIVE EXPERTISE
Authors: DASHKO LEONID , Kharchenko Irina , Geraskin Mikhail 
Published: April 2023

The article is devoted to a new promising method suitable for use in one of the varieties of forensic explosive expertise – situational expertise on the fact of an explosion. In order to solve the problem of establishing the nature and type of explosion, it is necessary to analyze all the damage to build-ings and objects at the scene of the incident in order to determine the center of the explosion and its location. Such studies are situational modeling or situational expertise.
The rapid development of information technologies makes it possible to create 3D models of the scene of an incident and use them to conduct situational studies, significantly increasing the effectiveness of operational and investigative actions, and, ultimately, brings real benefits in the investigation of crimes.
The article shows the possibilities of using 3D modeling technologies to establish the dynamics of fire development, followed by the establishment of the explosion center and its technical cause, us-ing the example of a real incident - an explosion in the port of Beirut on 04.08.2020.
The use of 3D modeling technologies and animation capabilities allows to visualize information about the circumstances of the explosion, which was obtained on the basis of collecting, summarizing and analyzing information obtained from various sources (protocols of the inspection of the place of advent, diagrams, plans, photo and video recordings, witness statements and other documents, as well as expert opinions).
Human Blood Identification in Crime Scene as a Forensic Clue
Authors: Jawad Evan Farhan , Yaseen Hayder Shareef , Al-Saadi Ali Hmood 
Published: April 2023

Background:
Blood is one of the most common clues found at crime scenes. Human blood is diagnosed according to the following context: first, the location of the blood spots, then virtual tests, then confirmatory tests. Genetic testing and serological testing are important tests in forensic medicine..
Materials and Methods:
Thirty blood samples were collected in EDTA tubes, of which 25 were collected from humans and five from sheep. This study lasted five months from 23/3 to 22/8/2022. This study was conducted at Babylon University - College of Science - Department of Biology. The aim of this study was to evaluate the Hightop kit for detection of human blood. The blood was exposed to different weather conditions. Then it was examined using this kit to determine the ability of the antigen to withstand different conditions and the sensitivity of the measurement for this kit.
Results:
The positive results of blood stains that were exposed to different weather conditions for 30 days, except for blood stains that were placed on a smooth surface, showed negative results after 10 days of exposure, as opposed to those that were buried in the soil or blood stains on clothes that endured weather conditions for 30 days..
Conclusion:
The Hightop kit is suitable in the field of forensic medicine to determine human blood that is exposed to harsh environmental conditions, as well as the ability to distinguish human blood from animal blood and its target antigen bears the weather conditions.
Computational Prediction Algorithms and Tools Used in Educational Data Mining: A Review
Authors: AL-Mashanji Ameer K. , Hamza Aseel Hamoud , Alhasnawy Laith H. 
Published: April 2023

Abstract In recent days, a wide variety of tools have appeared for performing educational data mining (EDM) . The current education systems show that there are several factors affecting students’ performances. First and foremost, students need motivation in order to learn and this motivation results into their success. The prediction of student performances is an important field of research in Educational Data Mining, particularly through the application of different data mining techniques. The majority of EDM research focuses on prediction algorithms. The current work presents a review of the data mining predicting algorithms and tools that have been adopted in EDM. It also provides insight into the algorithms and powerful data mining tools that most widely used in student performance prediction. This will mainly be of use for educators, instructors and institutions, increasing the students’ levels of study.
A Survey of Parallel Message Authentication and Hashing Methods
Authors: Alaa Yamamh , Fanfakh Ahmed , Hadi Esraa 
Published: April 2023

Background:
Currently, there are approximately 4.95 billion people who use the Internet. This massive audience desires internet shopping, information exchange, social networking, and other activities that have grown dramatically in recent years. Therefore, it creates the need for greater confidentiality and privacy. In recent days, fraud via the Internet has been one of the key impediments to the dissemination of the use of business apps. Therefore, the three important security concerns actually occur daily in our world of transparent fashion, more accurately: identity, authentication, and authorization. Identification is a procedure that permits the recognition of an entity, which may be a person, a computer, or another asset such as a software programmer.
Materials and Methods:
In security systems, authentication and authorization are two complementary procedures for deciding who may access the information resources across a network. Many solutions have been presented in the literature. To get more performance on the authentication algorithmic, researchers used parallelism to increase the throughput of their algorithms. On the one hand, various approaches have been employed to enhance the security of cryptographic systems, including increasing the number of rounds, utilizing substitution tables, and integrating other security primitives for encryption and message authentication.
Results:
Recent studies on parallel message authentication and hashing algorithms have demonstrated that GPUs outperform other parallel platforms in terms of performance.
Conclusion:
This work presents a parallel implementation of message authentication techniques on several platforms. It is studying and demonstrating works which discuss authentication, hashing, and their implementation on a parallel platform as a main objective.
PENGARUH KESADARAN HALAL DAN RELIGIUSITAS TERHADAP MINAT MEMBELI PADA PRODUK MAKANAN DI TOKO “RIZQUNA” BLOKAGUNG KARANGDORO BANYUWANGI
Authors: Ustanti Mira , Inayah Nurul , Yahya Ubaidillah 
Published: April 2023

Tujuan penelitian: 1) Mengetahui Pengaruh Kesadaran Halal (X1) terhadap Minat Membeli (Y) Produk Makanan Toko “Rizquna”, 2) Mengetahui Pengaruh Religiusitas (X2) terhadap Minat Membeli (Y) Produk Makanan Toko “Rizquna”, 3) Mengetahui pengaruh Kesadaran Halal (X1) dan Religiusitas (X2) secara bersama-sama terhadap Minat Membeli (Y) Produk Makanan Toko “Rizquna”. Jenis penelitian adalah penelitian kuantitatif uji hipotesis. Teknik sampel penelitian menggunakan metode accidental sampling. Sumber data penelitian adalah data primer. Teknik analisis data penelitian adalah teknik analisis regresi berganda. Hasil uji-t (uji parsial) variabel Kesadaran Halal (X1) dan Religiusitas (X2) diketahui nilai koefisien thitung 4.362 dan 3.570 lebih besar dari ttabel 2,048, maka Ha diterima. Hasil regresi tersebut menunjukan terdapat pengaruh antara Kesadaran Halal (X1) dan Religiusitas (X2) terhadap Minat Membeli (Y). Uji-F (uji simultan) variabel kesadaran Halal (X1) dan religiusitas (X2) terdapat pengaruh secara bersama-sama terhadap minat membeli (Y), nilai Fhitug > Ftabel (23.909 > 3,35) dan R­­­­­2 sebesar 65,2%.
Kata Kunci: Kesadaran Halal, Minat Beli, Religiusitas
desafíos de la época y las respuestas de la urp
Authors: Rodríguez Chávez Iván 
Published: April 2023

La pandemia de Covid-19 trajo mucho dolor alrededor del mundo y ocasionó pérdidas en todos los ámbitos de la sociedad. Aún hoy, después de prácticamente dos años de haberse desatado, esta peste global implica un permanente reto para las personas y las instituciones estatales y privadas. Frente a ella, hemos reaccionado de manera diversa, como individuos, familia, sociedad, empresa y Estado. Nuestro país ha sido uno de los más golpeados; sin embargo, los peruanos hemos dado suficientes pruebas de que sabemos sobreponernos, y salir adelante.
RANCANG BANGUN MODEL MONITORING DAN PENGENDALIAN AIR DALAM SISTEM SMART BUILDING BERBASIS IoT
Authors: Setiani Yulia , Astuti Fitri Yuni , Widodo Sarono , Nursyahid Arif 
Published: April 2023

Instalasi air pada gedung-gedung umumya hanya diatur dengan menggunakan kran manual. Sistem instalasi air tidak dilengkapi dengan pemantauan dan pengendalian penggunaan air pada setiap ruang atau gedung. Rancang bangun pada penelitian ini adalah sebuah solusi untuk menjadikan instalasi air pada gedung mudah dipantau dan dikendalikan jika terjadi kebocoran pipa istalasi atau penggunaan air yang tidak wajar. Sistem pematauan dan pengendalian berbasis IoT sehingga mudah mendapatkan data penggunaan air secara realtime dan dapat dikendaalikan melalui perangkat smartphone atau web. sistem ini menggunakan sensor flowmeter untuk membaca aliran air dan selenoid valve untuk membuka dan menutup aliran air yang mengalir pada pipa air. data sensor yang dibaca dikirim ke mikrokontroler untuk diolah dan selanjutnya dikirimkan ke internet melalui gateway LoRa. Data yang tersimpan pada database dapat diakses sekaligus dimonitor melalui smartphone dan web. sistem ini dilengkapi dengan pesan sebagai notifikasi kebocoran atau pemakaian air tidak wajar yang dikirimkan melalui telegram. Kata kunci :Internet of Things, Pengendali, Pemantau, Instalasi Air