bluuebunny/crossref_metadata_2025 huggingface dataset:
New Neutralizing Epitope Exposed on the Domain II of Tick-Borne Encephalitis Virus Envelope Glycoprotein E
Authors: Matveev Andrey , Khlusevich Yana , Kozlova Irina , Matveev Leonid , Emelyanova Lyudmila , Tikunov Artem , Baykov Ivan , Tikunova Nina
Published: May 2023

Orthoflavivirus encephalitidis, formerly tick-borne encephalitis virus (TBEV), belongs to the Orthoflavivirus genus. TBEV is transmitted by tick bites and infection with TBEV can lead to serious disorders of the central nervous system. In this study, a new protective monoclonal mouse antibody (mAb) FVN-32, with high binding activity to glycoprotein E of TBEV, was selected and examined in post exposure prophylaxis in a mouse model of TBEV infection. BALB/c mice were injected mAb FVN-32 at doses of 200 μg, 50 μg, and 12.5 μg per mouse one day after a TBEV challenge. mAb FVN-32 showed 37.5% protective efficacy when administered at doses of 200 μg and 50 μg per mouse. The epitope for protective mAb FVN-32 was localized in TBEV glycoprotein E domain I+II, using a set of truncated fragments of glycoprotein E. Additionally, the target site recognized by mAb FVN-32 was defined using combinatorial libraries of peptides. Three-dimensional modeling revealed that the site is dspatially close to the fusion loop, but does not come into contact with it, and is localized in a region between 247 and 254 amino acid residues on the envelope protein. This region is conserved among TBEV-like orthoflaviviruses.
Novel Amplicon-Based Sequencing Approach to West Nile Virus
Authors: Diagne Moussa Moïse , Ndione Marie Henriette Dior , Mencattelli Giulia , Diallo Amadou , Ndiaye El hadji , Di Domenico Marco , Diallo Diawo , Kane Mouhamed , Curini Valentina , Top Ndeye Marieme , Marcacci Maurilia , Mbanne Maïmouna , Ancora Massimo , Secondini Barbara , Di Lollo Valeria , Teodori Liana , Leone Alessandra , Puglia Ilaria , Gaye Alioune , Sall Amadou Alpha , Loucoubar Cheikh , Rosà Roberto , Diallo Mawlouth , Monaco Federica , Faye Ousmane , Cammà Cesare , Rizzoli Annapaola , Savini Giovanni , Faye Oumar
Published: May 2023

West Nile virus is a re-emerging arbovirus whose impact on public health is increasingly important as more and more epidemics and epizootics occur, particularly in America and Europe, with evidence of active circulation in Africa. Because birds constitute the main reservoirs, migratory movements allow the diffusion of various lineages in the world. It is therefore crucial to properly control the dispersion of these lineages, especially because some have a greater health impact on public health than others. This work describes the development and validation of a novel whole-genome amplicon-based sequencing approach to West Nile virus. This study was carried out on different strains from lineage 1 and 2 from Senegal and Italy. The presented protocol/approach showed good coverage using samples derived from several vertebrate hosts and may be valuable for West Nile genomic surveillance.
Thoracic Tumor Associated with a Unilateral Empyema in a Beef Cow: A Case Report
Authors: Robcis Rodolphe , De Campos Charly , Garapin Bénédicte , Lucas Marie-Noëlle , Poujade Agnès , Gaide Nicolas , Delverdier Maxence , Maillard Renaud
Published: May 2023

Tumors in cows are not frequently reported in the literature. They often represent unusual findings in live animals and are incidental at slaughter with rare positive therapeutic outcomes for farmers. A 9-year-old beef cow was referred to the hospital of ruminants of the National Veterinary School of Toulouse, France. The cow started to become sick 10 days prior, and major symptoms were anorexia, arched back, tachycardia, and tachypnea associated with significantly attenuated cardiac and pulmonary sounds upon right-sided auscultation. After specific investigations, a thoracic sarcoma associated with unilateral empyema was diagnosed. The empyema was treated, and supportive treatment was only performed for the tumor. Although the sarcoma remained, clinical improvement was significant, and the cow went back to her farm of origin. After the end of the withdrawal period, the cow recovered clinically but was culled by the owners for economic reasons. The present case report offers a continuum from the initial clinical signs motivating specific investigations to interesting laboratory findings, which were confirmed post-mortem.
Combining Synthetic and Observed Data to Enhance Machine Learning Model Performance for Streamflow Prediction
Authors: López-Chacón Sergio Ricardo , Salazar Fernando , Bladé Ernest
Published: May 2023

Machine learning (ML) models have been shown to be valuable tools employed for streamflow prediction, reporting considerable accuracy and demonstrating their potential to be part of early warning systems to mitigate flood impacts. However, one of the main drawbacks of these models is the low precision of high streamflow values and extrapolation, which are precisely the ones related to floods. Moreover, the great majority of these models are evaluated considering all the data to be equally relevant, regardless of the imbalanced nature of the streamflow records, where the proportion of high values is small but the most important. Consequently, this study tackles these issues by adding synthetic data to the observed training set of a regression-enhanced random forest model to increase the number of high streamflow values and introduce extrapolated cases. The synthetic data are generated with the physically based model Iber for synthetic precipitations of different return periods. To contrast the results, this model is compared to a model only fed with observed data. The performance evaluation is primarily focused on high streamflow values using scalar errors, graphically based errors and errors by event, taking into account precision, over- and underestimation, and cost-sensitivity analysis. The results show a considerable improvement in the performance of the model trained with the combination of observed and synthetic data with respect to the observed-data model regarding high streamflow values, where the root mean squared error and percentage bias decrease by 23.1% and 38.7%, respectively, for streamflow values larger than three years of return period. The utility of the model increases by 10.5%. The results suggest that the addition of synthetic precipitation events to existing records might lead to further improvements in the models.
The Influence of the Osmotic Potential on Evapotranspiration
Authors: Salman Adil K. , Durner Wolfgang , Naseri Mahyar , Joshi Deep C.
Published: May 2023

Climate change is expected to affect the quality of soil and water, resulting in a significant impact on soil water balance in various regions around the world. Soil water potential plays a significant role in influencing evapotranspiration (ET), which is a crucial component of the soil water balance. The matric potential and the osmotic potential are the main components of the soil water potential. The osmotic potential is particularly important in dry soils, salt-affected soils, coastal lands, or when low-quality water is utilized for irrigation. Despite its importance, the impact of osmotic potential on ET has not been well-studied compared to other factors. Therefore, we conducted a study to investigate the impact of osmotic potential on ET from small-scale lab lysimeters planted with grass and equipped with scales and data loggers connected to computers. To create different osmotic potential levels, we irrigated the lysimeters with two different water qualities: distilled water and 4.79 dS.m−1 NaCl solution. The lysimeters were kept in well-watered conditions, and daily ET was monitored. Our results indicate a strong correlation between osmotic potential and ET. After three months of applying the treatments, the lysimeters with lower osmotic potential had a 39% reduction in cumulative ET compared to those irrigated with distilled water. Moreover, the osmotic stress affected plant health, leading to a notable decrease in the leaf area index and exerting a significant influence on evapotranspiration partitioning components, including transpiration and evaporation.
Mathematic Modelling of a Reversible Hydropower System: Dynamic Effects in Turbine Mode
Authors: Ramos Helena M. , Coronado-Hernández Oscar E. , Morgado Pedro A. , Simão Mariana
Published: May 2023

Over the past few years, there has been significant interest in the importance of reversible hydro-pumping systems due to their favorable flexibility and economic and environmental characteristics. When designing reversible lines, it is crucial to consider dynamic effects and corresponding extreme pressures that may occur during normal and emergency operating scenarios. This research describes essentially the turbine operation, although various boundary elements are mathematically formulated and presented to provide an understanding of the system complexity. Different numerical approaches are presented, based on the 1D method of characteristics (MOC) for the long hydraulic circuit, the dynamic turbine runner simulation technique for the behavior of the power station in turbine mode and the interaction with the fluid in the penstock, and a CFD model (2D and 3D) to analyze the flow behavior crossing the runner through the velocity fields and pressure contours. Additionally, the simulation results have been validated by experimental tests on different setups characterized by long conveyance systems, consisting of a small scale of pumps as turbines (at IST laboratory) and classical reaction turbines (at LNEC laboratory). Mathematical models, together with an intensive campaign of experiments, allow for the estimation of dynamic effects related to the extreme transient pressures, the fluid-structure interaction with rotational speed variation, and the change in the flow. In some cases, the runaway conditions can cause an overspeed of 2–2.5 of the rated rotational speed (NR) and an overpressure of 40–65% of the rated head (HR), showing significant impacts on the pressure wave propagation along the entire hydraulic circuit. Sensitivity analyses based on systematic numerical simulations of PATs (radial and axial types) and reaction turbines (Francis and Kaplan types) and comparisons with experiments are discussed. These evaluations demonstrate that the full-load rejection scenario can be dangerous for turbomachinery with low specific-speed (ns) values, in particular when associated with long penstocks and fast guide vane (or control valve) closing maneuver.
Wavelet Analysis and the Information Cost Function Index for Selection of Calibration Events for Flood Simulation
Authors: Jam-Jalloh Sheik Umar , Liu Jia , Wang Yicheng , Li Zhijia , Jabati Nyakeh-Momodu Sulaiman
Published: May 2023

Globally, floods are a prevalent type of natural disaster. Simulating floods is a critical component in the successful implementation of flood management and mitigation strategies within a river basin or catchment area. Selecting appropriate calibration data to establish a reliable hydrological model is of great importance for flood simulation. Usually, hydrologists select the number of flood events used for calibration depending on the catchment size. Currently, there is no numerical index to help hydrologists quantitatively select flood events for calibrating the hydrological models. The question is, what is the necessary and sufficient amount (e.g., 10 events) of calibration flood events that must be selected? This study analyses the spectral characteristics of flood data in Sequences before model calibration. The absolute best set of calibration data is selected using an entropy-like function called the information cost function (ICF), which is calculated from the discrete wavelet transform (DWT) decomposition results. Given that the validation flood events have already been identified, we presume that the greater the similarity between the calibration dataset and the validation dataset, the higher the performance of the hydrological model should be after calibration. The calibration datasets for the Tunxi catchment in southeast China were derived from 21 hourly flood events, and the calibration datasets were generated by arranging 14 flood events in sequences from 3 to 14 (i.e., a Sequence of 3 with 12 sets (set 1 = flood events 1, 2, 3; set 2 = flood events 2, 3, 4, …, and so on)), resulting in a total of 12 sequences and 78 sets. With a predetermined validation set of 7 flood events and the hydrological model chosen as the Hydrologic Engineering Center (HEC–HMS) model, the absolute best calibration flood set was selected. The best set from the Sequence of 10 (set 4 = S10′) was found to be the absolute best calibration set of flood events. The potential of the percentile energy entropy was also analyzed for the best calibration sets, but the ICF was the most consistent index to reveal the ranking based on similarity with model performance. The proposed ICF index in this study is helpful for hydrologists to use data efficiently with more hydrological data obtained in the new era of big data. This study also demonstrates the possibility of improving the effectiveness of utilizing calibration data, particularly in catchments with limited data.
Remote Sensing Technology in the Construction of Digital Twin Basins: Applications and Prospects
Authors: Wu Xiaotao , Lu Guihua , Wu Zhiyong
Published: May 2023

A digital twin basin serves as a virtual representation of a physical basin, enabling synchronous simulation, virtual–real interaction, and iterative optimization. The construction of a digital twin basin requires a basin database characterized by large-scale coverage, high-precision, high-resolution, and low-latency attributes. The advancements in remote sensing technology present a new technical means for acquiring essential variables of the basin. The purpose of this paper was to provide a comprehensive overview and discussion of the retrieval principle, data status, evaluation and inter-comparison, advantages and challenges, applications, and prospects of remote sensing technology in capturing seven essential variables, i.e., precipitation, surface temperature, evapotranspiration, water level, river discharge, soil moisture, and vegetation. It is indicated that remote sensing can be applied in some digital twin basin functions, such as drought monitoring, precipitation forecasting, and water resources management. However, more effort should be paid to improve the data accuracy, spatiotemporal resolution, and latency through data merging, data assimilation, bias correction, machine learning algorithms, and multi-sensor joint retrieval. This paper will assist in advancing the application of remote sensing technology in constructing a digital twin basin.
Developing a Data Quality Evaluation Framework for Sewer Inspection Data
Authors: Khaleghian Hossein , Shan Yongwei
Published: May 2023

The increasing amount of data and the growing use of them in the information era have raised questions about the quality of data and its impact on the decision-making process. Currently, the importance of high-quality data is widely recognized by researchers and decision-makers. Sewer inspection data have been collected for over three decades, but the reliability of the data was questionable. It was estimated that between 25% and 50% of sewer inspection data is not usable due to data quality problems. In order to address reliability problems, a data quality evaluation framework is developed. Data quality evaluation is a multi-dimensional concept that includes both subjective perceptions and objective measurements. Five data quality metrics were defined to assess different quality dimensions of the sewer inspection data, including Accuracy, Consistency, Completeness, Uniqueness, and Validity. These data quality metrics were calculated for the collected sewer inspection data, and it was found that consistency and uniqueness are the major problems based on the current practices with sewer pipeline inspection. This paper contributes to the overall body of knowledge by providing a robust data quality evaluation framework for sewer system data for the first time, which will result in quality data for sewer asset management.
Extension's Role in Changing the Context of Health
Authors: Linnell Dusti , Case Patty , Kraemer Lauren
Published: May 2023

The Cooperative Extension National Framework for Health and Wellness calls on Extension professionals to operate in new ways that will shape "the context in which people grow, learn, work, and play" and to practice multidisciplinary and collaborative approaches in communities. In this article, we present three cases in Oregon as examples of how Extension faculty at Oregon State University are working to improve population health in rural Oregon communities in alignment with the Cooperative Extension National Framework for Health and Wellness. These examples highlight the roles Extension faculty can play in such work as well as associated successes and challenges.
Navigating the Coronavirus Pandemic: Advice for Grandparents From Grandparents
Authors: Bates James
Published: May 2023

In a qualitative study, I explored the experiences of grandparents during the coronavirus pandemic in the spring and summer of 2020 in the United States. Grandparents affected by the coronavirus pandemic and the subsequent restrictions shared their experiences in audio/video recorded interviews. Responses to one interview question asking about advice they would give to other grandparents were analyzed. Four themes were identified from the data analysis. Advice given was motivated by a desire to help other grandparents and their families. Implications for Extension professionals are discussed.
Social Media Use for Farmers Market Communications in Illinois
Authors: Tao Dandan , Ruth Taylor , Maxwell Janie , Feng Hao
Published: May 2023

Social media has been recognized as a powerful tool supporting communication of many topics in the agriculture industry. We explored the use of social media platforms among farmers market managers and specialty crop growers in Illinois through an online survey. Facebook, Instagram, and Twitter were platforms used by the majority of respondents. We found that social media was used primarily for communicating with consumers for marketing purposes. We identified major training needs of farmers market stakeholders related to using social media to promote business and convey food safety information.
Moving With the Marsh: Encouraging Property Owner Adaptation to Marsh Migration
Authors: Barrett Juliana , Balcom Nancy
Published: May 2023

Climate change adaptation efforts at the local level can help build support among Extension clients as well as improve resilience of natural systems. Marsh migration models of tidal wetlands in Connecticut show inland movement where conditions are suitable. Property owners, however, are frequently opposed to allowing marsh migration of cultivated lawns and gardens. We provide an example of development of a marsh migration buffer on a recently acquired land trust parcel adjacent to tidal wetlands as a local climate adaptation technique. Monitoring and education efforts are ongoing, with emphasis on local outreach. Similar strategies can be applied elsewhere.
ZİLYETLİK SUÇLARI
Authors: KAZAKER BOZKURT Gözde
Published: May 2023

Şimdiye kadar Türk ceza hukuku öğretisinde neredeyse hiç ele alınmamış konulardan biri olan zilyetlik suçları, sırf belli bir şeyin zilyetliğinin, yani bir şeyi elde bulundurmanın cezalandırıldığı suç tiplerini ifade etmektedir. Düşünülenin aksine oldukça yaygın olan zilyetlik suçları, günümüzde kanunkoyucuların mutat bir aracı olarak da kabul görmüştür. Hem temel ceza kanunumuzda hem de özel ceza kanunlarımızda yer alan bu suçlar, suç teorisi ve ceza hukuku dogmatiği açısından zorlu temel sorunlara sebebiyet verebilecek bir mahiyete sahiptir. Çalışmamızda, öncelikle zilyetlik suçu kavramı ortaya konulmuş, bu suçların suç teorisi bakımından sergilediği özellikler üzerinde durulmuştur. Zilyetlik suçlarının sınıflandırılmasına ve ihdas edilme sebeplerine ilişkin yapılan açıklamaların ardından, bu suçların çağdaş ceza hukukunun temel prensiplerinden olan fiil ve kusur ilkeleri karşısında, yapısı itibarıyla mümkün olup olmadığı sorunu ele alınmıştır.
İNGİLİZ CEZA HUKUKUNDA KOŞULLU SALIVERİLME
Authors: BOZBAYINDIR Ali Emrah
Published: May 2023

Erken salıverilme ister bir koşula bağlamış olsun ister olmasın modern ceza adaleti sisteminin vazgeçilmez bir unsurlarından bir olma niteliği arz etmektedir. Buna mukabil, koşullu salıverilme oldukça tartışmalı bir kurum niteliğindedir. Koşullu salıverilme, çoğu zaman cezaevi nüfusunun azaltılması menfaati ile örneğin şiddet ihtiva eden suçları işlemiş faillerin daha süre cezaevinde tutulması suretiyle belli bir toplumda kamunun ceza adaleti sistemine güveninin muhafazası menfaati arasındaki gerilimi yansıtmaktadır. Bu makale, oldukça karmaşık ve sürekli değişen bir yapı arz eden İngiliz koşullu salıverilme modelini tahlil etmektedir. Bu karmaşık yapısına rağmen İngiliz modeli, bir karşılaştırmalı hukukçu için bilhassa liberal bir ceza hukuku sisteminde yaşanan yukarıda ifade edilen gerilimi billurlaştırmış olması bakımından oldukça ilginç bir örnek teşkil etmektedir. Makale, İngiliz koşullu salıverilme modeli ve kavramlarının kısaca izah edilmesiyle başlamaktadır. İngiliz modeli, otomatik ve takdiri salıverilme sistemlerine bir arada yer veren karma bir model niteliğindedir. Bu izahları müteakip, İngiltere’de koşullu salıverilmenin tarihsel gelişimini ve modern dönemdeki 1967 tarihli Ceza Adaleti Kanunu’ndan (Criminal Justice Act 1967) en son 2022 yılındaki Adalet Bakanlığı Koşullu Salıverilme Sisteminin İncelenmesi Değerlendirme Raporu’na (the Review of the Parole System by the Ministry of Justice) kadar olan modern dönemdeki dönüşümünü kısaca tahlil edilmektedir. Çalışmada daha sonra, koşullu salıverilmeden yararlanmanın zamansal şartına ilişkin mevcut suç ve suçlu tipine göre farklılaştırılmış ikili bir yapı arz eden şartları ve koşullu salıverilme kurulunun karar alma süreçlerini incelemektedir. Koşullu salıverilme kararının geri alınması ve geri alınma kararı türlerini inceledikten sonra makale koşullu salıverilme bağlamında elektronik izlemenin kullanılması ve Yeni Koronavirüs Hastalığı (COVID-19) salgını döneminde benimsenen geçici salıverilme düzenlemelerinin tahlil edilmektedir.
Identifikasi Pemahaman Konsep Tingkat Representasi Makroskopik, Mikroskopik, dan Simbolik pada Materi Ikatan Kimia
Authors: Musa Weny J.A , Mantuli Mohamad Alan , Tangio Julhim S. , Iyabu Hendri , Kilo Jafar La , Kilo Ahmad Kadir
Published: May 2023

Penelitian ini bertujuan untuk mengetahui pemahaman konsep siswa tingkat representasi makroskopik, mikroskopik, dan simbolik pada materi ikatan kimia di SMAT Wira Bhakti Gorontalo. Penelitian ini merupakan penelitian deskriptif kualitatif yang diujikan kepada 57 siswa kelas X SMAT Wira Bhakti Gorontalo. Pengumpulan data menggunakan tes diagnostik tiga tingkat. Level pemahaman siswa dibagi menjadi tiga kategori yaitu paham konsep, tidak paham konsep, dan miskonsepsi, yang terdiri dari tiga tingkat representasi yaitu makroskopik, mikroskopik, dan simbolik. Hasil penelitian menunjukan bahwa pada tingkat representasi makroskopik siswa paham konsep sebesar 9,20%, tidak paham konsep sebesar 23,60%, dan miskonsepsi sebesar 67,20%. Pada tingkat representasi mikroskopik siswa paham konsep sebsar 15,75%, siswa tidak paham konsep sebsar 17%, dan miskonsepsi sebesar 67,25%. Pada tingkat representasi simbolik siswa paham konsep sebsar 7,17%, tidiak paham konsep sebesar 23,17%, dan miskonsepsi sebesar 69,67%. Sehingga dapat ditemukan bahwa ketiga tingkat representasi berada dikategori miskonsepsi dengan kriteria tinggi, yaitu pada makroskopik sebesar 67,20%, mikroskopik sebesar 67,25%, dan simbolik sebesar 69,67%. Sehingga rata-rata totalnya didapatkan sebesar 68,04%. Berdasarkan presentase ditemukan bahwa pengetahuan siswa kelas X SMAT Wira Bhakti Gorontalo termasuk pada kategori miskonsepsi dengan kriteria tinggi.
Analisis penguasaan konsep siswa kelas XI IPA dalam menyelesaikan soal kimia pada materi Konsep Mol
Authors: Sihaloho Mangara , Latief Suti Anggriani , Pikoli Masrid , Laliyo Lukman Abdul Rauf , Isa Ishak , Thayban Thayban
Published: May 2023

Penelitian ini bertujuan untuk menganalisis penguasaan konsep siswa kelas XI IPA dalam menyelesaikan soal kimia pada materi konsep mol di MAN 1 Kota Gorontalo. Pendekatan yang digunakan dalam penelitian ini adalah kualitatif dengan jenis penelitian deskriptif. Instrumen yang digunakan dalam penelitian ini yaitu pilihan ganda sebanyak 10 butir soal. Instrumen telah dilakukan uji validitas dengan hasil validasi instrumen yang diperoleh sebesar 93,3%. Responden penelitian ada 131 siswa kelas XI IPA di MAN 1 Kota Gorontalo. Pengumpulan data diperoleh dengan cara observasi, pemberian tes dan dokumentasi. Hasil penelitian menunjukkan bahwa penguasaan konsep siswa pada indikator menjelaskan konsep mol memperoleh nilai persentase sebesar 47% dengan kategori kurang, pada indikator menghitung massa atom relatif (Ar) dan massa molekul relatif (Mr) memperoleh nilai rata-rata persentase sebesar 87% dengan kategori Baik, pada indikator Mengkonversi jumlah mol dengan jumlah partikel, massa dan volume zat memperoleh nilai rata-rata persentase sebesar 79% dengan kategori baik, dan untuk indikator memprediksi rumus empiris molekul dan air kristal serta kadar zat dalam senyawa memperoleh persentase sebesar 44% dengan kategori kurang.
The PIVOT GT Teacher Observation Checklists: Perception of Instruction in Virtual/Online Teaching
Authors: Wall Breauna C. , Castle Jamie N. , Guilbault Keri M.
Published: May 2023

During emergency remote instruction resulting from the COVID-19 pandemic, school administrators reported that district-approved teacher observation forms and walk-through checklists did not entirely capture the modified instructional behaviors required by teachers of the gifted in a virtual learning environment. To address the demand for modified observation forms and walk-through checklists that can be used by principals and administrators, supplemental observation tools were developed. Although most students have returned to face-to-face instruction, some continue to access part-time online instruction and many districts have expanded virtual school options in response to needs that arose during the pandemic; therefore, a need for these instruments will continue post-pandemic.
Assessing Hazard Potential of Select Chemicals using Computational Toxicology Models
Authors:   Professor, Department of Chemistry, D.P. Vipra College, Bilaspur (Chhattisgarh), India, Nayar Renu
Published: May 2023

Release of potentially persistent, bioaccumulative and inherently toxic chemicals into the environment may cause adverse effects to plants and animals. Hundreds of thousands of chemicals are manufactured each year and experimentally assessing them for these parameters is costly, time consuming and requires animal testing. To address these concerns there has been a paradigm shift in adoption of computational chemistry and toxicology methods for assessing environmental risks posed by such chemicals. These computer-based methods harness the power of fast processors, high speed internet, statistical methods, and curated toxicological databases to fulfil this need. In this work a summary of selected publicly available computational models and databases is presented. Global regulatory agencies apply these predictive models to support their decisions. Indian regulatory bodies too could benefit from this exercise in identifying chemicals of ecotoxicological concern and in taking an appropriate regulatory decision thereby protecting the environment.
ANALISIS PENGARUH TATA KELOLA TI TERHADAP TRANSFORMASI DIGITAL DAN KINERJA ASURANSI B
Authors: Fortuna Cantika Dewi , Deby Monica Suryatama , Mulyana Rahmat , Ramadani Luthfi
Published: May 2023

Munculnya disrupsi teknologi terkini, tingginya kompetisi dari kompetitor digital, perubahan perilaku konsumen menuju digital, serta adanya pandemi COVID19 telah mengganggu banyak perusahaan incumbent dan memaksa mereka melaksanakan transformasi digital (TD). Tetapi, banyak perusahaan yang mengalami kegagalan TD akibat tata kelola yang kurang baik. Penelitian sebelumnya telah menunjukkan pentingnya tata kelola TI (TKTI) untuk meningkatkan kinerja organisasi (KO). Namun, TKTI tradisional ini diragukan keefektifannya untuk mendukung TD. Terdapat penelitian terkini yang menunjukkan adanya pengaruh tata kelola hibrida, tradisional dan agile/adaptif, terhadap TD. Namun, terdapat kebutuhan untuk melakukan validasi pengaruh TKTI hibrida terhadap TD lebih lanjut serta mengidentifikasi pengaruh TD terhadap KO. Oleh karena itu, telah dilakukan penelitian dengan metode studi kasus pada bank A yang terdisrupsi oleh fintech. Pengumpulan data dilakukan dengan wawancara semi terstruktur terhadap 11 peranan penting terkait TD, dengan triangulasi terhadap dokumen internal bank. Sedangkan pengolahan data menggunakan analisis tematik. Penelitian ini berhasil melakukan validasi seluruh mekanisme TKTI hibrida pada bank A, bahkan menambahkan beberapa lainnya, serta memvalidasi adanya pengaruh positif TKTI hibrida ke dimensi TD, juga pengaruh positif TD kepada kinerja organisasi (KO), berikut apa saja pencapaiannya. Hasil penelitian dapat bermanfaat sebagai referensi implementasi bagi praktisi maupun pendalaman penelitian sejenis dan pengembangan di industri berbeda.
OPTIMIZATION OF TELECOMMUNICATION TRANSACTION DATABASE WITH NOSQL MEMCACHED
Authors: Saputra Riki Ramdani
Published: May 2023

Semakin bergantungnya masyarakat pada akses telekomunikasi saat ini maka provider dituntut untuk dapat memberikan kemudahan dalam menyediakan layanan, termasuk didalamnya adalah layanan transaksi yang dapat dilakukan dari berbagai sarana telekomunikasi. Hal ini menyebabkan tabel transaksi  memiliki beban kerja sangat berat karena diakses dari berbagai aplikasi baik aplikasi berbasis web maupun aplikasi smartphone. Dengan besarnya transaksi melalui aplikasi berbasis web, maka dituntut untuk efisiesi dari metode web transaksi dalam mengakses database. Dengan hadirnya metode noSql membuat hasil pemaggilan data (query) dari client dapat disimpan pada memori server sebagai penyimpanan sementara (cache), tujuannya untuk membuat web transaksi tetap responsif walupun banyak diakses dan melakukan pemanggilan data (query) berulang. Dengan penggunaan metode Memcached, kinerja database transaksi dapat ditekan hingga 5%.
HATE SPEECH DETECTION USING MACHINE LEARNING AND N-GRAM TECHNIQUES
Authors: Khan Atif , Yousaf Junaid , Muhammad Tila , Ismail Muhammad
Published: May 2023

Toxic online material has emerged as a significant issue in contemporary society as a result of the exponential increase in internet usage by individuals from all walks of life, including those with varied cultural and educational backgrounds. Automatic identification of damaging text offers a problem because it needs to differentiate between disrespectful language and hate speech. In this paper, we provide a technique for automatically categorizing literature into the categories of hateful and non-hateful. This study discusses the difficulty of automatically identifying hate speech. It is examined how machine learning and natural language processing may be combined in various ways. Following that, the experiment results are contrasted in terms of how well they apply to this project. When we examine the models under consideration and fine-tune the model that produces the greatest performance accuracy after testing it against test data, we get a 94% accuracy rate.
Statistical Data Retrieval Technique in Astronomy Computational Physics
Authors: Siagian Ruben Cornelius , Pribadi Pandu , Sinaga Goldberd Harmuda Duva , Nurahman Arip , Nasution Budiman
Published: May 2023

Computational astronomy is a very important branch in today's era, where physicists or researchers can use computers to process statistics in astronomical physics. researchers can process abstract data from raw data and can convert data into data visualizations. Computational physics astronomy is a sophisticated and well-established method, this branch of science can provide and process data, solve complex problems, and is very helpful for statisticians and computer scientists. Astronomical physicists have many problems, among others; there is a problem that is hierarchical, and complex, so that this paper will provide a basis for methods for optimizing methods in processing statistical data on physics. The author's hope is that astronomical physicists can perform an important and effective processing of astronomical data optimally and effectively.
Clustering countries according to the logistics performance index
Authors: Ulkhaq M Mujiya
Published: May 2023

This study aims to cluster countries according to the logistics performance index (LPI) 2018 data. LPI is one of the indicators for measuring logistics sector performance based on a survey developed by the World Bank since 2007 and has been widely accepted throughout the world. There are 160 countries involved in organizing the 2018 edition of the LPI. It helps countries to understand their current position and develop strategies and policies to improve their performance in world trade. Three clustering algorithms (i.e., k-means, k-medoids, and clustering large applications) are used. To obtain the optimal number of clusters, the elbow method is used. According to the elbow method, the optimal cluster is three for those three clustering algorithms. The countries belong to the first cluster are considered the best performers, while countries in the third cluster are the worst performance in terms of logistics performance. This study is expected to give an insight into how to implement clustering algorithms into the real-world data set and how to interpret the results
Статична та динамічна оклюзія
Authors: Ярова Світлана , Турчененко Сергій , Яров Юрій , Комлев Андрій
Published: May 2023

В монографії, створеній з метою поглиблення знань та розширення інформації з розділу «Функціональні методи дослідження стану оклюзії», розглянуті питання розповсюдженостї, причинно-наслідковий зв′язок розвитку порушень оклюзії, сучасні функціональні методи оцінки стану оклюзії, засоби усунення порушень статичної та динамічної оклюзії. Представлені результати власних досліджень щодо вивчення ролі оклюзії в розвитку стоматологічної патології. Монографія призначена для лікарів-інтренів,слухачів та лікарів-стоматологів.
Formación Ciudadana: Su enmienda
Authors:   Universidad de San Carlos de Guatemala, Reyes Méndez Rebecka
Published: May 2023

Históricamente la sociedad guatemalteca ha sido introducida en un sistema económico, político, educativo y social que absorbió la idea de ciudadanía como una práctica de civilización y modernidad, pero que terminó dividiendo a la población por su origen. Por lo tanto, se procura aportar desde la perspectiva histórica el abordaje de formación ciudadana para desarrollar el pensamiento crítico y la relación pasado-presente. La Mesa Técnica de Educación para la Paz, Memoria Histórica y Derechos Humanos, son un conjunto de organizaciones diversas, entre ellas la Universidad San Carlos de Guatemala a través de la Escuela de Historia, y que participan en la Estrategia Nacional de Ciencias Sociales y Formación Ciudadana con el proyecto de pilotaje y validación de guías educativas para los distintos niveles educativos en algunos departamentos de Guatemala, en ella se lleva a cabo actividades técnico-pedagógicas. Dicho estudio se enmarcó en la investigación cualitativa y para el proceso desarrollado la investigación acción, puesto que se participó e involucró de manera directa con diversas comunidades educativas para una transformación didáctica, pedagógica y social. Mediante el análisis interpretativo en la interacción de los procesos, se pudo reconstruir una propuesta de guías con mayor pertinencia, idoneidad y contextualizada para enmendar el proceso de aprendizaje-enseñanza de las ciencias sociales y formación ciudadana.
La creación de nuevos conocimientos: Resonancia Mórfica y la Educación Holística
Authors:   Universidad de San Carlos de Guatemala, Valdés Ávila Indira Marizela
Published: May 2023

Problema:Descubrir como la educación sobrevive ante la incertidumbre del mundo actual, influenciada por el pasado. Objetivo: Comprender el aprendizaje humano desde la relación educación con la evolución humana, implicando la física cuántica, la resonancia mórfica y la memoria colectiva para la creación de nuevos saberes. Método: El método utilizado es la hermenéutica en diálogo con los escritores consultados en las condiciones del pensamiento complejo, la heurística para ampliar el conocimiento con un pensamiento claro y conciso, construyendo una red de interpretaciones a través de la reflexión. Resultados: Una nueva concepciónde la educación dirigida a la sociedad, basada en el comportamiento humano y orientada a una evolución más compleja. Conclusión: El ser humano es el elemento con energía creadora del universo desde su espiritualidad, con la capacidad de crear nuevos saberes expandiendo su mente encuentra las respuestas a los problemas que se le presentan; mostrando a la educación holística como un estado de conciencia interno.
Assesment of Use of Performance-Enhancing Substances and Methods among Wrestlers, Boxers, and Bodybuilders in Kenya
Authors: Mandu Wanjiku Agnes , Kiplamai Festus , Mwisukha Andaje , Waiganjo Luka
Published: May 2023

Measuring prevalence of usage of performance enhancing drugs in Boxing, wrestling, and bodybuilding is difficult. However, to fit their initiatives, National Anti-Doping Organizations are interested in knowing the numbers so that their scarce resources are not wasted. The purpose of this study was to establish knowledge levels, attitudes towards the use of performance enhancing substances (PES), among athletes from boxing, wrestling, and bodybuilding federations in Kenya. The study utilized cross-sectional analytical research design. The study population comprised of 1900 athletes from the three sports disciplines with a sample size of 384 athletes. Close ended questionnaires were used as the data collection instrument. Data obtained from the respondents was coded and organized for analysis by use of SPSS version 25. Hypotheses were tested using one-way ANOVA and t-test at confidence level of 0.05. Post hoc analysis was carried out using Duncan Multiple Range Test where differences were found to be significant. Results on usage showed that majority of the respondents (74.2%) never used food supplements (FS) to improve sports performance. Many of the respondents (93.8%) had never used traditional herbs (TH) to improve sports performance. 91.9% never used PES to improve sports performance. Majority of the respondents (96.6%) indicated as never having been given food supplements by a coach, doctor, or physiotherapist to enhance performance. On supply of PES, 91.7% of the respondents had no information of if medical practitioner, local chemist, or sports agents supplied PES and methods. The results of one-way ANOVA showed that there was a significant difference in the use of FS, TH, PES, and Methods by athletes from the three sports disciplines, [F (2, 381) = 24.050, p < 0.000]. In conclusion and in light of the limitations of this study generally majority of the respondents did not use PES and methods. There were also significant differences in use of PES and methods across the different sports. The study recommended that sports federation officials from boxing, wrestling and bodybuilding should have a put proper structures for imparting knowledge and proper attitude on use of performance enhancing substances among athletes.
Evaluation of Hyperprolactinemia and Thyroid Disorder among Women with Dysfunctional Uterine Bleeding at Tertiary Care Hospital of western Rajasthan
Authors: Purohit Jaya , Barjatya Ranjana , Kataria Sushma K.
Published: May 2023

Background: Women suffers 10 times more with thyroid disorders than men. Alterations in menstrual cycle alters thyroid function which could be either hypo or hyper thyroidism. Abnormal increase in serum prolactin level can cause disturbance in follicle maturation and corpus luteum function, and can lead to inhibition of normal secretion of GR hormone in hypothalamus which results in anovulation. The aim of the present study was to assess the thyroid and the prolactin levels among the women with dysfunctional uterine bleeding at tertiary care Hospital of western Rajasthan. Methods: An observational study was conducted for a period two years i.e from 2020 to 2022 in our institution at the gynaecology OPD with help of pathology department. 250 Patients with the complaints of dysfunctional uterine bleeding of age group between 25 to 70 years were included in the study. Estimation of Free T3, Free T4, TSH and prolactin was done by chemiluminescent immunoassay for the patients. Results: The mean TSH levels among the DUB cases was high. Similarly, hyperprolactinemia was found in cases and the mean prolactin levels were higher in cases. Significantly strong positive correlation between thyroid function and prolactin with p value <0.0001 was found.which indicates that as the TSH level increases prolactin levels also increases. Conclusions: Early detection of hypothyroidism in DUB cases can save the patient from recurrent curettage and at times hysterectomy. The financial implications of screening for prolactin/thyroid hormone abnormalities will have to be evaluated before a general recommendation can be made.
The Concise Overview of Unani Treatise Contemplating Oral Health and its Associated Common Conditions
Authors: Parveen Ayesha , Anjum Atiya , Anwar Ammar Ibn , Firdaus Sadaf
Published: May 2023

Oral health is essential to quality of life because it promotes social and physical well-being and serves as a reflection of general health. According to some estimates, dental and oro-dental conditions are the most prevalent illnesses in the world. One important known predisposing factor for various oral illnesses is poor oral hygiene. Since the beginning of recorded history, mankind has suffered from oral diseases in all of its manifestations. Ancient Chinese, Greek, Roman, Egyptian, Arabic, and Indian surgical and medical treatises all discuss mouth illnesses at some point. Many renowned Unani physicians have too mentioned about various oral diseases and unhygienic conditions in their respective books. They have clearly mentioned how to maintain oral health and treat various oral conditions in their respective rich Unani texts. Present review paper is an attempt to throw some light over oral hygiene, its historical background and diseases which occur due to poor oral health light of the Unani literature.
Factors that Affect in Selecting the Most Appropriate Alternative Dispute Resolution Strategy for Construction Disputes
Authors: Gamage Amila N.K.K.
Published: May 2023

Disputes are inevitable in construction projects, and cost and time impacts are higher on a project’s performance and successful completion. Therefore, it is essential to prevent disputes from arising or resolve them efficiently once arise. Other than litigation, Alternative Dispute Resolution (ADR) strategies receive more attention from organizations due to efficiency in dispute settlement. However, when using ADR strategies for dispute resolution, it is vital to select the most suitable technique based on the dispute type and other goals of disputant parties. Therefore, the objective of this study was to identify the factors that impact selecting the most appropriate alternative dispute resolution strategy for construction disputes. By analyzing existing research published from 2019 to 2023, this study revealed three main factor categories that influence ADR selection decisions. Those factor categories are financial factors, organizational factors, and legal factors. This study further identified research gaps that need attention in future research.
Sunshine and Temperature Based Models for Estimating Global Solar Radiation in Maiduguri, Nigeria
Authors: Akpootu D. O. , Alaiyemola S. R. , Abdulsalam M. K. , Bello G. , Umar M. , Aruna S. , Isah A. K. , Aminu Z. , Abdullahi Z. , Badmus T. O.
Published: May 2023

Nine existing sunshine based models and three existing temperature based models were evaluated and compared to ascertain the most suitable models for estimating global solar radiation in Maiduguri; the most suitable sunshine based and most suitable temperature based models were also compared. The measured monthly average daily global solar radiation, sunshine hours, maximum and minimum temperature meteorological parameters during the period of thirty one years (1980 – 2010) was utilized and the evaluated models were tested statistically using validation indicators of coefficient of determination, Mean Bias Error, Root Mean Square Error, Mean Percentage Error, t – test, Nash – Sutcliffe Equation and Index of Agreement. The results indicated that the linear exponential sunshine based model and the logarithmic temperature based model were found more accurate for global solar radiation estimation in Maiduguri as compared to other evaluated models. Furthermore, the logarithmic temperature based model was found more accurate for estimating global solar radiation as compared to the linear exponential sunshine based model, and this was testified from the figure showing the comparison between the recommended sunshine based and temperature based models in which the recommended temperature based model depicts the best fitting with the measured global solar radiation data.
Evaluations of Earthquakes in the Academic and Engineering Frameworks
Authors: Hamouda Samir A , Amneenah Naji S
Published: May 2023

Earthquakes are among the hidden forces that threaten human life and the future of civilization. And with the technological progress and studies in space sciences, the Earth did not receive the attention of studies and researches, especially those related to earthquakes. This paper is presents a brief study of the magnetic and physical properties of the elemental compositions of the earth's crust as an attempt to find out the causes of earthquakes. Results of calculations have suggested that compressions and tensions on the earth crust due to the interaction of the earth magnetic field with the magnetic materials in the crust may be one of the main causes of earthquake events.
A Comprehensive Review of the Book Study of Language by George Yule
Authors: Alam Muneer , Mushtaque Munawwar , Rizwanullah Mohd
Published: May 2023

Linguistics is an interdisciplinary field that draws on insights from psychology, sociology, anthropology, computer science, philosophy, and other fields. It seeks to understand how language is acquired, how it changes over time, how it varies across cultures and regions, and how it is used in different contexts and for different purposes. The publication of The Study of Language in 2022 by George Yule who was an American linguist aroused a world-wide interest among scientists, especially linguists. This article concentrates on the reviews based on the book The Study of Language written by George Yule.