bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uniqueness of India's Northeast with respect to climate change impact: an assessment of streamflow variation in the Gomati River basin
Authors: Paul Ashesh Rudra , Maity Rajib 
Published: February 2023

AbstractImpacts of climate change may vary from location to location for various reasons and may exhibit unique features in some regions. In this study, we considered India's Northeast which is geographically and hydro-meteorologically unique. The Gomati River catchment is the largest and one of the important river catchments in Tripura, a state in the northeastern region of India. Due to changes in climatic conditions over the previous few decades, the flow pattern of this catchment has changed significantly. The study examines the effect of climate change on the climatology of precipitation and streamflow using the simulation output from the Earth System Model (ESM) from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) into two different conceptual hydrological models for streamflow simulation. Findings indicate that water availability is projected to be reduced in the future due to a reduction in the average streamflow volume by approximately 12–30% (varies from model to model and scenario to scenario). Moreover, the water demands for other hydrological processes, i.e., evaporation/evapotranspiration, are expected to increase due to a significant increase in temperature (∼1.4–2.1 °C). A sustainable management of water resources will benefit from the research outcomes of this study.
Herbal Therapeutics for Alzheimer's Disease: Ancient Indian Medicine
System from the Modern Viewpoint
Authors: Kushwah Shikha , Maurya Neha Shree , Kushwaha Sandeep , Scotti Luciana , Chawade Aakash , Mani Ashutosh 
Published: February 2023

Abstract:
Alzheimer's is a chronic neurodegenerative disease where amyloid-beta (Aβ) plaques and
neurofibrillary tangles are formed inside the brain. It is also characterized by progressive memory loss,
depression, neuroinflammation, and derangement of other neurotransmitters. Due to its complex etiopathology,
current drugs have failed to completely cure the disease. Natural compounds have been
investigated as an alternative therapy for their ability to treat Alzheimer's disease (AD). Traditional
herbs and formulations which are used in the Indian ayurvedic system are rich sources of antioxidant,
anti-amyloidogenic, neuroprotective, and anti-inflammatory compounds. They promote quality of life
by improving cognitive memory and rejuvenating brain functioning through neurogenesis. A rich
knowledge base of traditional herbal plants (Turmeric, Gingko, Ashwagandha, Shankhpushpi, Giloy,
Gotu kola, Garlic, Tulsi, Ginger, and Cinnamon) combined with modern science could suggest new
functional leads for Alzheimer's drug discovery. In this article Ayurveda, the ancient Indian herbal
medicine system based on multiple clinical and experimental, evidence have been reviewed for treating
AD and improving brain functioning. This article presents a modern perspective on the herbs
available in the ancient Indian medicine system as well as their possible mechanisms of action for AD
treatment. The main objective of this research is to provide a systematic review of herbal drugs that
are easily accessible and effective for the treatment of AD.
Selecting the Best Animal Model of Parkinson’s Disease for Your Research
Purpose: Insight from in vivo PET Imaging Studies
Authors: Real Caroline Cristiano , Binda Karina Henrique , Thomsen Majken Borup , Lillethorup Thea Pinholt , Brooks David James , Landau Anne Marlene 
Published: February 2023

Abstract:
Parkinson’s disease (PD) is a debilitating neurodegenerative multisystem disorder leading
to motor and non-motor symptoms in millions of individuals. Despite intense research, there is
still no cure, and early disease biomarkers are lacking. Animal models of PD have been inspired by
basic elements of its pathogenesis, such as dopamine dysfunction, alpha-synuclein accumulation,
neuroinflammation and disruption of protein degradation, and these have been crucial for a deeper
understanding of the mechanisms of pathology, the identification of biomarkers, and evaluation of
novel therapies. Imaging biomarkers are non-invasive tools to assess disease progression and response
to therapies; their discovery and validation have been an active field of translational research.
Here, we highlight different considerations of animal models of PD that can be applied to
future research, in terms of their suitability to answer different research questions. We provide the
reader with important considerations of the best choice of model to use based on the disease features
of each model, including issues related to different species. In addition, positron emission tomography
studies conducted in PD animal models in the last 5 years are presented. With a variety
of different species, interventions and genetic information, the choice of the most appropriate model
to answer research questions can be daunting, especially since no single model recapitulates all aspects
of this complex disorder. Appropriate animal models in conjunction with in vivo molecular
imaging tools, if selected properly, can be a powerful combination for the assessment of novel therapies
and developing tools for early diagnosis.
Asenapine as a Potential Lead Inhibitor against Central Ca2+/Calmodulin-Dependent Protein Kinase II: Investigation by Docking Simulation and Experimental Validation
Authors: Daoud Safa , Abutayeh Reem , Alabed Shada J. , Taha Mutasem O. 
Published: February 2023

Aim:
The aim of this potential repurposing study is to investigate the potential inhibitory activity of asenapine against central nervous system CaMKII isozymes using docking experiments and enzymatic assay.

Background:
The Ca2+/calmodulin-dependent protein kinase II (CaMKII) is a multifunctional protein kinase ubiquitously expressed throughout the brain. Emerging biological data have indicated that inhibiting central nervous system CaMKII isoforms, namely, CaMKIIα and CaMKIIβ, may be a promising therapeutic strategy for the potential treatment of many neurological diseases including schizophrenia, depression, epilepsy, and learning deficit.

Objective:
1- Study the possible attractive interactions of asenapine within the binding sites of the central CaMKII isozymes. 2- Evaluate the inhibitory activities of asenapine against central CaMKII isozymes.

Methods:
Docking experiments of asenapine and other known CaMKII inhibitors were performed. Docking settings were validated using ROC analysis. After that, the inhibitory activities of asenapine against central CaMKII alpha and beta were evaluated by enzymatic assay.

Result:
Docking and scoring experiments of asenapine showed several binding interactions anchoring asenapine within CaMKIIα and CaMKIIβ catalytic sites while enzymatic assay results revealed that asenapine can inhibit CaMKIIα and CaMKIIβ in the micromolar range.

Conclusion:
Our study provides evidence that asenapine can serve as a promising lead for the development of new CaMKIIα and CaMKIIβ inhibitors. Moreover, this study reinforces how the investment in drug repurposing could boost the drug discovery process.
Multi-Class Classification of Gastrointestinal Diseases using Deep Learning Techniques
Authors: Mary X.Anitha , Raj A. Peniel Winifred , Evangeline C. Suganthi , Neebha T. Mary , Kumaravelu Vinoth Babu , Manimegalai P. 
Published: February 2023

Objective:
Currently, gastrointestinal problems claim the lives of about two million individuals every year throughout the world. Video endoscopy is one of the most important tools for detecting gastrointestinal diseases (GD). However, it has the disadvantage of producing a huge quantity of images that should be analysed by medical professionals, which demands more time. This makes manual diagnosis challenging, encouraging research into computer-assisted methods for accurately identifying all of the produced images in a short amount of time. The goal of this research is to develop anArtificial intelligence technique to classify the different diseases in gastrointenstine.

Materials and Methods:
In developing a framework for classifying gastrointestinal diseases, the proposed methodology is unique. VGG-19 and ResNet-50, two deep learning networks, were used to evaluate their ability to recognise a dataset of lower GD. To validate the proposed models, a Kvasir dataset of 3500 images was employed, comprising 500 images from each of the seven classes.

Results:
ResNet-50 had the greatest validation accuracy of 96.81%, recall of 95.28%, precision of 95%, and 94.85% of F1 score, whereas VGG-19 had the highest validation accuracy of 94.21%, recall of 94%, precision of 94.28%, and 94% of F1 score.

Conclusions:
The Convolutional neural network (CNN) was used to extract shape, colour, and texture features. Softmax assists in the classification of seven types of GD by passing these features into fully connected layers. Two models performed equally well and yielded promising results.
Pendidikan karakter jujur melalui metode bercerita di sekolah dasar di Yogyakarta
Authors: Nurbaya St. , Rukiyati Rukiyati , Sutrisnowati Sri Agustin 
Published: February 2023

Pendidikan karakter jujur terintegrasi ke dalam tema-tema pelajaran dengan metode bercerita penting dilakukan sebagai upaya mendidik siswa agar menjadi orang yang jujur. Penelitian ini bertujuan untuk mendeskripsikan praktik pendidikan karakter jujur melalui metode bercerita bagi siswa kelas 4 pada tujuh sekolah dasar di Yogyakarta. Buku panduan untuk guru dan buku cerita telah dikembangkan pada penelitian sebelumnya dan telah dinyatakan valid serta layak digunakan, menurut para ahli maupun guru.Metode penelitian ini adalah deskriptif kualitatif dengan menggunakan model interaktif dari Miles, Huberman dan Saldana (2014).Teknik pengumpulan data yang digunakan adalah observasi, dan diskusi grup terfokus, didukung dengan penggunaan skala Likert untuk mengukur sikap siswa terhadap kejujuran. Teknik analisis data dilakukan secara interaktif meliputi kondensasi data, penyajian data dan penarikan kesimpulan. Keabsahan data dilakukan dengan triangulasi sumber dan teknik. Hasil penelitian menyimpulkan praktik pendidikan karakter jujur melalui metode bercerita untuk siswa kelas IV sekolah dasar telah berhasil dilaksanakan dengan baik. Guru telah dapat melaksanakan pembelajaran sesuai buku panduan dan siswa telah memahami arti penting kejujuran dalam berbicara dan bertindak. Siswa menyatakan sikap setuju terhadap pernyataan dan tindakan yang jujur. Oleh karena itu, pendidikan karakter jujur melalui metode bercerita dapat digunakan secara luas sebagai upaya menanamkan nilai kejujuran dalam diri siswa sekolah dasar. Kata kunci: nilai, karakter, jujur, dan metode bercerita
Projections of Lung Cancer Incidence by 2035 in 40 Countries Worldwide: Population-Based Study
Authors: Luo Ganfeng , Zhang Yanting , Etxeberria Jaione , Arnold Melina , Cai Xiuyu , Hao Yuantao , Zou Huachun 
Published: February 2023

Background
The global burden of lung cancer (LC) is increasing. Quantitative projections of the future LC burden in different world regions could help optimize the allocation of resources and provide a benchmark for evaluating LC prevention and control interventions.

Objective
We aimed to predict the future incidence of LC in 40 countries by 2035, with an emphasis on country- and sex-specific disparities.

Methods
Data on LC incidence from 1978 to 2012 were extracted from 126 cancer registries of 40 countries in Cancer Incidence in Five Continents Volumes V-XI and used for the projection. Age-standardized incidence rates (ASRs) per 100,000 person-years and the number of incident cases were predicted through 2035, using the NORDPRED age-period-cohort model.

Results
Global ASRs of the 40 studied countries were predicted to decrease by 23% (8.2/35.8) among males, from 35.8 per 100,000 person-years in 2010 to 27.6 in 2035, and increase by 2% (0.3/16.8) among females, from 16.8 in 2010 to 17.1 in 2035. The ASRs of LC among females are projected to continue increasing dramatically in most countries by 2035, with peaks after the 2020s in most European, Eastern Asian, and Oceanian countries, whereas the ASRs among males will continue to decline in almost all countries. The ASRs among females are predicted to almost reach those among males in Ireland, Norway, the United Kingdom, the Netherlands, Canada, the United States, and New Zealand in 2025 and in Slovenia in 2035 and even surpass those among males in Denmark in 2020 and in Brazil and Colombia in 2025. In 2035, the highest ASRs are projected to occur among males in Belarus (49.3) and among females in Denmark (36.8). The number of new cases in 40 countries is predicted to increase by 65.32% (858,000/1,314,000), from 1.31 million in 2010 to 2.17 million in 2035. China will have the largest number of new cases.

Conclusions
LC incidence is expected to continue to increase through 2035 in most countries, making LC a major public health challenge worldwide. The ongoing transition in the epidemiology of LC highlights the need for resource redistribution and improved LC control measures to reduce future LC burden worldwide.
Model Pembelajaran Sains Teknologi Masyarakat (STM) DAN Penilaian Autentik terhadap Hasil Belajar Siswa
Authors: Jayadiningrat Made Gautama , Widiana I Wayan , Tria Ariani Nyoman Wiraadi , Widiani Ni Komang 
Published: February 2023

Prestasi sains siswa Indonesia berada di bawah rata-rata internasional. Hal ini akibat dari pembelajaran masih berpusat pada guru dan kurangnya aktivitas fisik siswa. Maka perlu diadakan pembaharuan untuk mendukung pembelajaran yang bersifat kontekstual. Sains Teknologi Masyarakat (STM) merupakan suatu model pembelajaran yang dapat dijadikan alternatif dalam pengelolaan kelas dalam pembelajaran. Penelitian ini bertujuan untuk menganalisis pengaruh model pembelajaran Sains Teknologi Masyarakat (STM) dan asesmen autentik terhadap hasil belajar siswa. Jenis penelitian ini adalah penelitian semu (quasi experiment) dengan rancangan the posttest only control group design. Populasi dan sampel dalam penelitian ini semua kelas V SD sebanyak 81 siswa. Data hasil belajar dikumpulkan dengan tes objektif. Analisis data yang digunakan dalam penelitian ini adalah uji ANAVA dua jalur dan dilanjutkan dengan Uji-t. Berdasarkan hasil penelitian dan pembahasan menunjukkan bahwa bahwa model pembelajaran STM dan asesmen autentik mempunyai pengaruh positif yang signifikan terhadap hasil belajar IPA. Model pembelajaran STM yang dientegrasikan dengan asesmen proyek memberikan hasil yang paling baik. Kombinasi ini sangat cocok diaplikasikan untuk mata pelajaran IPA di sekolah dasar karena model tersebut mengakomodasi karakteristik pendidikan IPA. Model pembelajaran STM dapat mengeksplorasi rasa ingin tahu siswa terhadap isu-isu sains dan teknologi melalui tahap penggalian isu-isu sains dan teknologi. Sedangkan asesmen proyek membuat anak bisa mengasimilasi dan mengakomodasi rangsangan dari lingkungannya, berinteraksi dengan objek, mengamati, meneliti, dan berpikir sehingga meningkatkan kemampuan kognitif nya.
A literature review on current practices, knowledge, and viewpoints on pentobarbital euthanasia performed by veterinarians and animal remains disposal in the United States
Authors: Kollias Nathaniel S. , Hess Warren J. , Johnson Cia L. , Murphy Mike , Golab Gail 
Published: February 2023

Abstract
Sodium pentobarbital and pentobarbital combination products are commonly used by veterinarians throughout the US for euthanasia of their animal patients. The AVMA Guidelines for the Euthanasia of Animals: 2020 Edition lists barbiturate acid derivatives (pentobarbital) and pentobarbital combination products as an acceptable method of euthanasia for all species when circumstances permit their use. When using pentobarbital products, a veterinarian must consider appropriate handling and disposal of animal remains to avoid the potential for environmental contamination, relay toxicosis in wildlife or domestic animals, and contamination of the animal food supply. Failure to appropriately consider these facets of pentobarbital euthanasia can result in legal and ethical consequences. Despite these concerns, to the authors’ knowledge no comprehensive literature review has been published concerning pentobarbital euthanasia or handling and disposal of animal remains following pentobarbital euthanasia. The literature review that follows aims to give a descriptive narrative of the most recent information available on the knowledge, use, challenges, and issues surrounding pentobarbital euthanasia and disposal of animal remains within the US.
Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week using Neural Networks
Authors: Gorzelanczyk Piotr , Tylicki Henryk 
Published: February 2023

Abstract
The number of road accidents in the world is decreasing year by year. This number has been affected by the pandemic in recent years but is still very high. Therefore, it is necessary to take all possible measures and steps to reduce this number. The objective of the article is to forecast the number of road accidents in Poland depending on the day of the week. For this purpose, the annual data on the number of road accidents in Poland broken down by days of the week were analyzed, and a forecast for the years 2022-2040 was prepared on the basis of the police statistics. The forecast was made using selected models of neural networks. The research results show that a decrease in in the number of road accidents can be expected. However, the obtained results could be affected by the selected number of random samples (training, testing and validation).
Keragaman dan Korelasi Dimensi Panjang Bagian Kaki Depan dan Belakang Tubuh Induk Sapi Bali di Pusat Pembibitan Sapi Bali Unggul Gerokgak, Buleleng, Bali
Authors: Adinda Adinda , Suatha I Ketut , Susari Ni Nyoman Werdi 
Published: February 2023

Penelitian ini dilakukan pada 25 ekor sapi yang ada di Pusat Pembibitan Sapi Bali Unggul di Gerokgak, kabupaten Buleleng. Pengambilan data dilakukan dengan metode purposive sampling dan kemudian diolah menggunakan SPSS IBM 26 dengan analisis deskriptif dan biplot, kemudian disajikan dalam bentuk tabel dan grafik biplot. Hasil yang diperoleh menunjukkan bahwa koefisien keragaman yang paling beragam adalah panjang kaki depan bagian atas sebesar 22,8369%, kemudian disusul oleh panjang kaki belakang bagian atas sebesar 19,3704%, panjang kaki belakang bagian tengah sebesar 17,1938%, panjang kaki depan bagian bawah memperoleh nilai sebesar 14,3102%, panjang kaki depan bagian tengah sebesar 12,0132% dan yang paling seragam adalah panjang kaki belakang bagian bawah sebesar 10,6815%. Panjang kaki belakang bagian bawah berkorelasi positif dengan panjang kaki depan bagian bawah, panjang kaki belakang bagian tengah berkorelasi positif dengan panjang kaki depan bagian tengah, demikian juga panjang kaki belakang bagian atas berkorelasi positif dengan panjang kaki depan bagian tatas, tetapi panjang kaki depan bagian tengah berkorelasi negatif dengan anjang kaki belakang bagian atas dan antara panjang kaki depan bagian tengah dan panjang kaki belakang bagian atas tidak berkorelasi dengan panjang kaki depan bagian atas. Untuk mendapat induk sapi bali yang seragam perlu melakukan seleksi terhadap panjang kaki depan bagian atas.
Invasive Mole With Impending Uterine Rupture : A Case Report
Authors: Muhammad Syamel 
Published: February 2023

Gestational Trophoblastic Disease (GTD) is an abnormal placenta, composed of a spectrum of premalignant to malignant disorders. In Indonesia, GTD incidence is particularly challenging to estimate, since not all cases will be reported or recognized. It classified into hydatidose mole and gestational trophoblastic neoplasia (GTN). One of those clinicopathological classification of GTN is malignant invasive mole. It is likely to be the cause of increased maternal mortality in Indonesia if the disease is not well diagnosed and treated.We reported the case, a 28 years old woman who had a invasive mole with impending uterine rupture. She had a pervaginam bleeding symptoms since 3 weeks after post curetase due to hydatidose mole indication. She also had multiple abortus history.
Non-traditional tools for predicting coronary artery disease
Authors: KHURANA RISHABH , YADAV ANURAG , BUXI T.B.S. , RAWAT KISHAN SINGH , GHUMAN SAMARJIT S. 
Published: February 2023

Background
The traditional coronary calcium score (CCS) is a time-tested tool for the evaluation of coronary atherosclerosis and predictor of future cardiovascular events. Non-traditional tools can also have a value in predicting and detecting subclinical coronary artery disease (CAD).

Methods
We studied the role of CCS, the traditional CAD risk predictor, and the less-recognized, non-traditional risk factors, i.e. epicardial fat volume (EFV) and thoracic extracoronary calcium (ECC), to assess the degree of subclinical CAD. In this cross-sectional observational study, we included 950 Indian patients (suspected to have CAD). Coronary computed tomography angiography was performed. Estimation of CCS, EFV and thoracic ECC was done.

Results
A CCS of 0 was seen in 583 patients (61.4%). Of these, 492 patients had normal coronary angiogram but 91 patients had CAD. The median values of EFV were statistically significantly higher in the ‘CAD present and CCS 0’ group compared to the ‘CAD absent and CCS 0’ group (p<0.001). The presence of thoracic ECC involving at least a single site was seen in only 6 of these 91 patients. When both EFV and CCS were considered together for the detection of CAD, the sensitivity and negative predictive value (NPV) were improved compared to either of these in isolation. When ECC was taken together with CCS and EFV, no further improvement in sensitivity or NPV was observed.

Conclusion
The combined use of traditional CCS along with non-traditional EFV may guide us in better profiling cardiovascular risk and supplement the various traditional cardiovascular risk factors/scores.