bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of Anticancer and Anti-inflammatory Drugs from Drugtarget
Interaction Descriptors by Machine Learning
Authors: Huang Songtao , Ding Yanrui 
Published: January 2022

Background:
Drug repositioning is an important subject in drug-disease research. In the past,
most studies simply used drug descriptors as the feature vector to classify drugs or targets or used qualitative
data about drug-target or drug-disease to predict drug-target interactions. These data provide limited
information for drug repositioning.

Objective:
Considering both drugs and targets and constructing quantitative drug-target interaction descriptors
as a method of drug characteristics are of great significance to the study of drug repositioning.

Methods:
Taking anticancer and anti-inflammatory drugs as research objects, the interaction sites between
drugs and targets were determined by molecular docking. Sixty-seven drug-target interaction descriptors
were calculated to describe the drug-target interactions, and 22 important descriptors were
screened for drug classification by SVM, LightGBM, and MLP.

Results:
The accuracy of SVM, LightGBM, and MLP reached 93.29%, 92.68%, and 94.51%, their Matthews
correlation coefficients reached 0.852, 0.840, and 0.882, and their areas under the ROC curve
reached 0.977, 0.969, and 0.968, respectively.

Conclusion:
Using drug-target interaction descriptors to build machine learning models can obtain better
results for drug classification. Number of atom pairs, force field, hydrophobic interactions, and bSASA
are the key features for classifying anticancer and anti-inflammatory drugs.
COL1A1 as a Potential Prognostic Marker and Therapeutic Target in
Non-small Cell Lung Cancer
Authors: Pan Boyu , Huang Chen , Xia Yafei , Zhang Cuicui , Li Bole , Wang Liangjiao , Fang Senbiao , Liu Liren , Yan Shu 
Published: January 2022

Background:
Nowadays, non-small cell lung cancer (NSCLC) is a common and highly fatal
malignancy worldwide. Therefore, identifying the potential prognostic markers and therapeutic targets is
urgent for patients.

Objective:
This study aimed at finding hub targets associated with NSCLC using multiple databases.

Methods:
Differentially expressed genes (DEGs) from Genome Expression Omnibus (GEO) cohorts
were employed for the enrichment analyses of Gene Ontology (GO) terms and the Kyoto Encyclopedia
of Genes and Genome (KEGG) pathways. Candidate key genes, filtered from the topological parameter
'Degree' and validated using the Cancer Genome Atlas (TCGA) cohort, were analyzed for their association
with clinicopathological features and prognosis of NSCLC. Meanwhile, immunohistochemical cohort
analyses and biological verification were further evaluated.

Results:
A total of 146 DEGs were identified following data preprocessing, and a protein-protein interaction
(PPI) systematic network was constructed based on them. The top ten candidate core genes were
further extracted from the above PPI network by using 'Degree' value, among which COL1A1 was
shown to associate with overall survival (OS) of NSCLC as determined by using the Kaplan-Meier analysis
(p=0.028), and could serve as an independent prognostic factor for OS in NSCLC patients (HR,
0.814; 95% CI, 0.665-0.996; p=0.046). We then analyzed the clinical stages, PPI, mutations, potential
biological functions, and immune regulations of COL1A1 in NSCLC patients using multiple bioinformatics
tools, including GEPIA, GeneMANIA, cBioPortal, GESA, and TISIDB. Finally, we further experimentally
validated the overexpression of COL1A1 in NSCLC samples and found that inhibition of
COL1A1 expression moderately sensitized NSCLC cells to cisplatin.

Conclusion:
Thus, our results showed that COL1A1 may serve as a potential prognostic marker and
therapeutic target in NSCLC.
Evaluación agronómica y valor nutritivo de avena (Avena sativa) bajo condiciones de restricción de lluvia en los Andes
Authors: Arango Quispe Sheyla Johanna Shumyko , Viera Valencia Mario , Gómez Bravo Carlos Alfredo 
Published: January 2022

La avena es un cereal de alto valor nutritivo para humanos y animales. El objetivo del estudio fue caracterizar agronómicamente ocho genotipos de avena en respuesta a la restricción de lluvia. Se realizó en los Andes centrales del Perú mediante un diseño completamente al azar con arreglo factorial ocho genotipos de avena forrajera (INIA901 Mantaro15, INIA902 Africana, INIA903 Tayco, Junín-Jauja blanca, Centenario, Junín-Tarma negra, Junín-Jauja negra y Cayuse) con 0 % y 60 % de restricción de lluvia y tres repeticiones. Se tuvieron 48 unidades experimentales (parcelas de 4,8 metros cuadrados), donde la restricción de lluvia se logró a través de interceptores de lluvia. Se encontró a una confianza del 95 % que no existe interacción entre los genotipos de avena y la restricción de lluvia. La restricción de lluvia afectó al rendimiento (ton MS/ha) disminuyéndolo de 4,3 ± 0,7 a 3,0 ± 1,0, y al porcentaje de proteína cruda aumentándolo de 12,7 ± 3,1 a 17,0 ± 2,7. No se encontró efecto significativo de la restricción de lluvia sobre la fibra detergente neutro, la cual fue de 41,1 ± 1,8 % para el nivel sin restricción y 41,3 ± 3,2 % para el nivel con restricción; ni sobre la digestibilidad in vitro aparente de la materia orgánica que fue de 71,5 ± 15,3 % para el nivel sin restricción y de 67,8 ± 15,4 % para el nivel con restricción. Los genotipos que mejor resisten la sequía son Junín-Jauja negra y Centenario.
Foodborne Outbreak Investigation in Al-Ahsa, Saudi Arabia, 2021: A Retrospective Cohort Study
Authors: Alahmad Abdulmohsen , Kamel Shady Abdulrahman 
Published: January 2022

Background
On September 10, 2021, Al-Ahsa General Health Directorate reported an unexpected number of patients had presented with gastrointestinal symptoms. All the patients gave a history of sharing a common meal as they ate dinner that was served at the mother’s house in a family gathering on September 9, 2021, at 9 PM in Al-Ahsa.

Objective
This study aims to confirm the existence of the outbreak, confirm the diagnosis, define and identify the cases, identify the source of the outbreak, determine the causative agent or organism if possible and its mode of transmission, and recommend preventive measures to be applied to prevent similar outbreaks in the future.

Methods
A retrospective cohort design was used in this outbreak investigation to identify its source. Cases were defined as any person who ate dinner at the family gathering on September 9, 2021, and developed any or a combination of the following symptoms: diarrhea, vomiting, fever, or abdominal pain within 26 hours of food consumption. We collected information on demographics, symptoms, and food history using a semistructured questionnaire. We reviewed hospital records for symptoms and vital signs. We reviewed available laboratory results for cases, and we conducted an active case search to identify more cases. The data obtained was analyzed using SPSS version 21.0 (IBM Corp).

Results
A total of 20 (74%) were defined as cases and 7 (26%) as noncases. Of 20 cases, 16 (80%) were females and 4 (20%) were males. The ages ranged between 2-70 years. Among cases, 59.3% had vomiting, 59.3% had a fever, 48.1% developed diarrhea, and 25% had abdominal pain. The incubation period ranged from 10 to 26 hours, with a mean of 17.8 hours. The risk ratios (relative risks) and P values were calculated for each food item to assess the association between consumption of individual food items and subsequent illness. Among 8 food items consumed, red pasta with chicken (relative risk 37.3, 95% CI 3.2-424.6) and beef pizza (relative risk 6.5, 95% CI 1.74-42.2) were significantly associated with illness.

Conclusions
According to the epidemiological investigation, symptoms, incubation period, and laboratory results, there might be some differential diagnosis, but we were unable to more definitively identify the source of the outbreak. We recommend more education to the households about food safety.
SPMD - Resumos da Sports Medicine Summit (nov) 2021
Authors:   Sociedade Portuguesa de Medicina Desportiva, Tomás Rita , Dores (1) Hélder ,   Hospital da Luz, Sport Lisboa e Benfica, Lisboa., Rebelo-Marques (2) Alexandre ,   Faculdade de Medicina, Universidade de Coimbra
Published: January 2022

Two roundtables: 1.	COVID-19 and Sports: Lessons Learned and Future Directions 2.	E-Sports Medicine
Monitoring Iklim Mikro pada Greenhouse Secara Real Time Menggunakan Internet of Things (IoT) Berbasis Thingspeak
Authors: Kurniawan Anri , Ristiono Andika , Sulistiadi Slamet 
Published: January 2022

Farm cultivation in the highlands is constrained by the long rainy season, less efficient sunlight and susceptible to pests and diseases. One of the solutions in cayenne pepper cultivation is using hydroponics and greenhouse s to minimize pests and diseases that come from the soil and are carried by the wind. The purpose of this research is to produce "SMART-IGHIOT" a control system based on the Internet of Things using Dutch bucket hydroponics in a portable greenhouse. The technology applied is in the form of monitoring and controlling temperature, humidity, air temperature and light intensity using sensors integrated with the ESP32 microcontroller. The ESP32 is connected to the Thingspeak webserver to display sensor measurement results in real-time. The design of the monitoring system for light intensity, temperature and humidity in the greenhouse can be maximized so that environmental conditions can be optimized. The performance of using greenhouse s can maximize the intensity of sunlight, the highest at 12.00, while the lowest temperature at 03.00 to 05.00 WIB. While the highest temperature is at 13.00 and the highest humidity is at night. Keywords: dutch bucket, greenhouse, IoT, microclimate, Thingspeak
Penerapan Analisis Runtun Waktu pada Peramalan Penjualan Produk Organik menggunakan Metode Moving Average dan Exponential Smoothing
Authors: Ardiansah Irfan , Adiarsa Irsyad Fauzi , Putri Selly Harnesa , Pujianto Totok 
Published: January 2022

The purpose of this study is to answer the problem of procurement of goods and minimize goods reaching expiration due to too long storage time, then as a provider of information about the forecasting system at Warung Sehat 1000 Kebun, then to predict sales of goods at Warung Sehat 1000 Kebun and identify how many goods that have been sold. This research uses a quantitative approach. The data used in this study is sales data for 2 (two) months with 30 lines of data and a total of 3 types of goods studied, namely sales data of pakcoy, cocofresh and free-range chicken eggs. The method used starts from data collection, forecasting calculations, forecasting testing, forecasting selection, and forecasting application. The forecasting methods used are moving average and exponential smoothing, by testing the mean absolute deviation, mean square error, and standard deviation. Forecasting results yielded outputs for pakcoy products as much as 1583.33 grams, for cocofresh products as many as 11 pcs and for chicken eggs as many as 9 pcs. Keywords: exponential smoothing, forecasting examination, time series data, moving average
Design and Fabrication of Nanostructure TiO2 Doped NiO as A Gas Sensor for NO2 Detection
Authors: Al-Taa'y Wasan A. , Hasan Bushra A. 
Published: January 2022

In this paper, thin films of undoped and nickel oxide (NiO) doped titanium dioxide (TiO2) were prepared using the chemical spray pyrolysis deposition (CSP) technique, with different concentrations of nickel oxide (NiO) in the range (3-9) wt%. The morphological, structural, electrical, and sensing properties of a gas of the prepared thin films were examined. XRD measurements showed that TiO2 films have a polycrystalline structure. AFM analysis showed that these films have a regular structure both before and after doping . The roughness of these films decreased after adding impurities but then the opposite of that took place. The electrical and gas sensing properties of titanium dioxide was also affected after doping. The highest sensitivity value was obtained at doping concentration of 5wt% and working temperature 473ºK.
The Relationship Between The Level Of Parental Knowledge About Covid-19 And The Application Of Clean And Healthy Living Behavior In Early Childhood During The Pandemic
Authors: Faizal Afrah Diba , Suryanis Ira , Satria Epi 
Published: January 2022

The increasing number of Covid-19 cases in children in Indonesia has caused parents to make more efforts to protect their children. Parents' knowledge is the domain in the formation of Covid-19 prevention behavior by implementing clean and healthy living behaviors in children. This study aims to determine the relationship between the level of parental knowledge about Covid-19 and the application of clean and healthy living habits in early childhood during the pandemic. This research is an analytic observational study with a cross sectional approach. The population in this study were 35 parents of PAUD Nurul Quran. The frequency distribution of the level of knowledge about Covid-19, the majority of respondents have a good level of knowledge about Covid-1, namely 25 respondents or 89.3% and the frequency of implementing clean and healthy living habits in early childhood during the pandemic, it is known that most respondents 20 respondents or 71.4% have implemented a clean and healthy lifestyle. Based on the results of research with the Spearman rho test, it is known that the Asymp. Sig. (2-sided) of 0.001 <α (0.05) with a correlation value of 0.333, this means that there is a relationship between the level of parental knowledge about Covid-19 and the application of clean and healthy living habits in early childhood during the pandemic in a positive direction. and the closeness of the relationship is moderate.
The Feminization of the Intergenerational Transmission of Knowledge About Witchcraft and Healing Among Don Cossacks in the First Half of the Twentieth Century
Authors: Власкина Татьяна Юрьевна 
Published: January 2022

В статье рассматриваются инверсии традиционной передачи сакрального знания у донских казаков в сфере целительства и колдовства. Предмет изучения - практики профессиональной и репродуктивной магии, для которых ранее было особенно характерно подчеркнутое противопоставление мужского и женского начала. Названное явление обусловлено общероссийским социальным контекстом первой половины XX в. - сломом сословной системы, советской модернизацией общества. На территории Области войска Донского ситуацию усугубили фактическая маргинализация казачества, составлявшего до 1914 г. большую часть населения, и убыль взрослых мужчин, в результате чего феминизация охватила многие стороны повседневной жизни и традиционной культуры. Источником исследования являются полевые материалы 1997-2008 гг., зафиксированные на территории нескольких районов Ростовской и Волгоградской областей.
This article examines the changes in the traditional transmission of sacred knowledge among the Don Cossacks in the areas of healing and witchcraft. It involves the practice of professional and reproductive magic, for which the sharp opposition of masculine and feminine principles was previously characteristic. The causes of this phenomenon lie in the Russian social context of the first half of the twentieth century, namely the destruction of the estate system and the Soviet modernization of society. In the Don Cossack Region, the situation was aggravated by the marginalization of the Cossacks and the decline of the male population, as a result of which feminization embraced many aspects of everyday life and traditional culture. The research is based on field data from 1998-2008 recorded in several districts of the Rostov and Volgograd regions.
Tracing English Proficiency of Alumni in Supporting Their Career
Authors: Romadlon Farid Noor 
Published: January 2022

This study was designed to investigate the English proficiency of Alumni in supporting their career. Sources of data from this study were 802 alumni of Universitas Muria Kudus graduated in 2018 and 115 alumni users who came from companies, government offices, and schools. They filled out a standardized questionnaire from Higher Education Ministry (DIKTI,2017) which was used as an instrument. The results of the analysis show that most alumni regard that English proficiency has much benefit for them to get a job or promoting their career in working place. From skills in English, Speaking becomes the most skill which needed in working place or confirmed by interviewers when alumni have interview test. Furthermore, this study found that alumni users put significant role for foreign language skill (English) of alumni. Users believe that English proficiency of alumni is in good level. However, some users in different working places conclude differently by assessing the alumni English proficiency into Fair category. This can be caused by the kind of working place also affects their English skill, the frequency in using it for working activities, the English atmosphere built by the working place can be an encouragement for alumni to improve their English proficiency. Keywords:Study of Tracing, English Proficiency, Alumni, and Career
THE EFFECTIVENESS OF PROBLEM BASED LEARNING (PBL) AND PROJECT BASED LEARNING (PjBL) ASSISTED KAHOOT LEARNING MODELS ON STUDENT LEARNING OUTCOMES
Authors: Inayah Zam , Buchori Achmad , Pramasdyahsari Agnita Siska 
Published: January 2022

The purpose of this study was to determine the effectiveness of problem based learning (PBL) and Project Based Learning (PjBL) models with the help of Kahoot media on student learning outcomes. The sampling technique used was cluster random sampling. Three classes were obtained, namely X ELIN as the experimental class 1, X RPL 2 as the experimental class 2, and X RPL 2 as the control class. Data collection techniques using observation, tests and documentation. The results showed (1) there were differences in student learning outcomes who received the Kahoot-assisted problem-based learning (PBL) learning model, Kahoot-assisted Project Based Learning (PjBL) and conventional classes; (2) the learning outcomes of students who received the problem based learning (PBL) learning model with the help of kahoot were better than the class that received the conventional learning model; (3) the learning outcomes of students who received the project-based learning (PjBL) assisted kahoot learning model were better than the class that received the conventional learning model; (4) the learning outcomes of students who get the Problem Based Learning (PBL) learning model with the help of kahoot and Project Based Learning (PjBL) with the help of kahoot achieve mastery individually and classically. Based on decision making through significant values, it turns out that > ie, 4.852 > 3.156, then is rejected. It can be concluded that there are differences in student learning outcomes. Judging from the average value of student learning outcomes in the experimental class I was 77.29, while the average learning outcome for the experimental class II was 77.39, and the average student learning outcome in the control class was 67.96, which means that the student learning outcomes in the control class the experiment was better than the control class students' learning outcomes.Keywords: Problem Based Learning (PBL), Project Based Learning (PjBL), Kahoot, and Learning Outcomes
Money Growth and Social Stability
Authors: Basci Erdem , Basci Sidika , GHERBY Tahar 
Published: January 2022

Aim: Both the Keynesian and the Fisherian channels of sovereign money growth have slowed down significantly in the decade following the Global Financial Crisis (GFC). This, together with the rise of fintech, privately issued unbacked crypto-assets tried to fill this void. These developments have revived the interest on the Central Bank Digital Currency (CBDC) idea and on potential channels for future sovereign money growth. The aim of this paper is to compare the Keynesian and Fisherian channels of sovereign money growth regarding their impact on wealth distribution and inflation.
Design / Research Methods: To achieve our aim we use a simple Agent Based Model (ABM) to capture heterogeneity. In our model, the agents are heterogeneous consumers with different spending propensities but with equal initial wealth levels and with exactly same non-interest incomes over time.
Conclusions / findings: We show that Keynesian (uniform) money growth channel has a softening effect on the wealth dispersion and thereby, on the downward pressure on money velocity. The model indicates that the inclusive nature of current post-Covid19 recovery plans may have a desirable impact on social stability. Yet, these plans may also be more inflationary in comparison the post-GFC policies.
Originality / value of the article: This paper shows that heterogeneity of economic agents should not be ignored by policy makers and that ABM is a convenient tool to design and analyse monetary and fiscal policies under heterogeneity.
Implications of the research: The implication for policy makers is that the demand deficiency associated with the fall in money velocity and the worsening of wealth dispersion may be softened by a more inclusive money growth regime, potentially with the practical use of CBDCs. Yet the extra inflationary impact of such a regime need to be kept in mind.
PENGARUH PENERAPAN METODE DISCOVERY LEARNING TERHADAP KEAKTIFAN BELAJAR SISWA PADA MATA PELAJARAN IPS KELAS VII DI MTS THAMRIN YAHYA KECAMATAN RAMBAH HILIR
Authors: Kurniati  , Rina Ari Rohmah  
Published: January 2022

Penelitian ini bertujuan untuk mengetahui ada atau tidaknya pengaruh penerapan metode discovery learning terhadap keaktifan belajar siswa pada mata pelajaran IPS kelas VII di MTs Thamrin Yahya Kecamatan Rambah Hilir. Penulis menggunakan metode penelitian eksperimen semu. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh yang signifikan metode pembelajaran discovery learning terhadap keaktifan belajar siswa. Hal ini dapat dilihat dari perbedaan kelas eksperimen dan kelas kontrol. Pada kelas eksperimen menggunakan metode discovery learning memiliki skor tertinggi 95 dan skor terendah 56 dengan nilai rata-rata 75,24. Pada kelas kontrol menggunakan metode konvensional memiliki skor tertinggi 85 dan skor terendah 59 dengan skor rata-rata 70,58. Penggunaan metode discovery learning lebih tinggi dibandingkan dengan metode konvensional. Pada uji hipotesis Jika lebih besar dari maka diterima dan ditolak. Dari perhitungan sebesar 1,692 dibandingkan dengan (df 56 yaitu 0,2586 taraf signifikan 5% jadi > maka diterima dan ditolak.