bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Vitro Anti-microbial effect of various extracts of Ġokṣura (Tribulus terrestris) fruits on common pathogens causing Urinary Tract Infection
Authors: Reetu Sharma  , Prof. Pawankumar Godatwar  
Published: February 2023

Introduction: The present study was carried out with an objective to investigate the antimicrobial potentials of various extracts of Gokṣura (Tribulus terrestris Linn.) fruits on common uropathogen strains. Material and Methods: Aqueous, ethanol, chloroform, petroleum ether extracts of fruits of Tribulus terrestris were evaluated for potential antimicrobial activity against certain uropathogen strains. The antimicrobial activity was determined in the extracts using agar well diffusion method. The antibacterial activities of extracts (5%, 10% and 15% w/v) of Tribulus terrestris were tested against Escherichia coli, Pseudomonas aeruginosa, Proteus mirabilis, Klebsiella pneumonia and Enterococcus faecalis. Zone of inhibition of extracts were compared with that of standard drug Azithromycin 1 % w/v (Positive control) and DMSO(Negative control) for antibacterial activity. Observations and Results: Inhibition of the bacterial growth was shown against the tested organisms in all extracts but ethanol extract at 15% concentration showed highest activity against all pathogens. The phytochemical analyses of the plants were also carried out which was found to be similar to standard values of API. Conclusion: The results of this study showed that Tribulus terrestris possesses significant antibacterial activity against common uropathogens.
EPIDEMIOLOGICAL PROFILE AND ASSOCIATION OF VARYING HABITS WITH PRECANCER AND OSCC IN POPULATION OF NORTH INDIA
Authors: TANDON DIVYA , RAJAWAT JYOTIKA 
Published: February 2023

Objective: The pathologic appearances and clinical symptoms of Oral Premalignant Disorders (OPMDs) and Oral Squamous Cell Carcinoma (OSCC) vary across different patient populations. This is possibly due to behaviours and cultural influences such as excess tobacco use. We aim to evaluate the epidemiological profile and clinical characteristics of OPMDs and OSCC in the North Indian population. Methods: This was a retrospective study of 600 subjects including 200 OSCC cases, 200 OPMDs and 200 matched controls. Medical records and clinical and histopathological diagnosis of OSCC and oral precancer patients were included. The data was analysed using SPSS. Results: Two third of the OSCC patients were males and one third were females and mean age of 48.5 y. Maximum incidence of total cases was observed in age groups from 30-70 y and was more in males. Buccal mucosa is found to be the most affected location (67%) in both men and women. We found a significant association between size of the tumor, the number of nodes involved, and degree of differentiation and gender. Significant association was observed between gender and tobacco use, pattern of smoking and alcohol consumption, while no association was observed with fluoride use by habit and gender. Significant results were found between prevalence of OSCC and OPMDs with chewing tobacco and pattern of smoking. Also, pattern of smoking was significantly associated with gender in OPMD and OSCC subjects. Conclusion: This study could help in educating the people and support the healthcare workers in implementing preventive measures against OPMDs and OSCC.
AMATÖR SPOR KULÜPLERİ FEDERASYONU YÖNETİCİLERİNİN LİDERLİK YÖNELİMLERİ, KİŞİLİK ÖZELLİKLERİ VE EMPATİ DÜZEYLERİ ARASINDAKİ İLİŞKİNİN İNCELENMESİ
Authors: ÖZKAN Rıdvan , YAMAN Metin 
Published: February 2023

Özet
Bu araştırmanın amacı Amatör Spor Kulüpleri Federasyonu yöneticilerinin liderlik yönelimleri, kişilik özellikleri ve empati düzeyleri arasındaki ilişkinin incelenmesidir. Bu amaç çerçevesinde araştırmanın evrenini Türkiye Amatör Spor Kulüpleri Konfederasyonu (TASKK) çatısı altında 81 ilde faaliyetlerini sürdüren Amatör Spor Kulüpleri Federasyonlarının (ASKF) 1027 yöneticisi oluştururken örneklem grubunu kolayda örnekleme yöntemi ile belirlenen 366 yönetici oluşturmaktadır. Katılımcıların liderlik yönelimlerini belirlemek için “Çok Yönlü Liderlik Yönelimleri Ölçeği”, kişilik özelliklerini belirlemek için “On-Maddeli Kişilik Ölçeği” ve empati düzeylerini belirlemek adına ise “Empati Düzeyi Belirleme Ölçeği” kullanılmıştır. Ölçme araçlarıyla toplanan verilerin analiz sürecinde SPSS 24 istatistik programından faydalanılmıştır. Analiz sürecinde verilerin frekans ve yüzde hesaplamasının ardından bağımlı ve bağımsız değişkenler arası etkileşim durumları çoklu regresyon analizi ile test edilmiştir. Açıklayan ve açıklanan değişkenler arasında doğrusal ilişki ise Korelasyon testi ile sınanmıştır. Araştırma sonucunda; Amatör Spor Kulüpleri Federasyonu yöneticilerinin kişilik özelliklerinin ve empati düzeylerinin Politik, İnsan Kaynaklı, Yapısal ve Karizmatik Liderlik yönelimlerinin yordayıcısı oldukları sonucuna ulaşılmıştır.
Identification of Key Actors in Mangroves Plantation using the MACTOR Tool: Study in DKI Jakarta
Authors: Tandio Tjondroargo , Kusmana Cecep , Fauzi Akhmad , Hilmi Endang 
Published: February 2023

Considering the benefits of mangrove forest areas and their ability to support the success of sustainable development, this study aimed to determine the attitudes of stakeholders in the Special Capital Region of Jakarta (DKI Jakarta) toward the existence of mangrove areas in the North Coast of Jakarta. Surveys and data collection were conducted through focus group discussions and interviews. The results showed that the key actors in the development of mangrove areas in DKI Jakarta are the Ministry of Environment and Forestry of the Republic of Indonesia, the Department of Environmental Services of DKI Jakarta Province, the Government of DKI Jakarta Province, the Government of North Jakarta City, and the Regional House of Representatives of DKI Jakarta. In addition, other stakeholders, such as the developer, park bureau, regional development and ecotourism, were included as relay variables. In addition, the study identified the entrepreneurs, fishermen, farmers, and ponds as the dependent variables, while the industries, civil society, and warehousing as the independent variables. This study identified several options for the development of mangrove areas in DKI Jakarta, such as utilizing potential areas that have not been planted with mangroves for business area development, property development, national strategic project program, and mangrove plantation. The results of this study are expected to help policymakers develop policies for mangrove development in DKI Jakarta.
Keywords: DKI Jakarta, MACTOR, mangrove forest, key actors
RANCANG BANGUN SISTEM INFORMASI PENJUALAN PADA TOKO UCOK IYAN
Authors: Ningsih Erma Windia 
Published: February 2023

Toko Ucok Iyan merupakan salah satu toko yang bergerak dibidang penjualan bahan kebutuhan pokok yang memiliki tujuan utama yaitu meningkatkan penjualan secara pesat dan menjadi salah satu toko yang maju. Sistem pada perusahaan tersebut saat ini proses berjalannya dibantu dengan penggunaan komputer namun proses pendataan masih berupa manual dan belum adanya laporan bagi perusahaan tersebut. Beberapa produk miliknya diantaranya Rokok, Sembako, Makanan Ringan dan berbagai jenis barang lainnya. Sehingga hal ini masih menjadi hambatan bagi kecepatan, kemudahan dan akurasi data. Masalah yang timbul saat ini adalah laporan cetak terima barang yang masih dilakukan secara manual, sistem pembayaran yang belum menggunakan sistem terkomputerisasi, Sulitnya untuk mendata barang karna masih bersifat manual, Sulitnya memproses data pengiriman, karena kurang efektif jika barang yang sudah dikirim dimasukan ke data pengiriman dengan manual, Sulitnya menghitung hasil penjualan pertahun, karena terlalu banyak berkas untuk menampung data penjualan, dan sulit dalam mengetahui barang yang diretur. Dengan adanya rancang bangun sistem informasi penjualan ini maka diharapkan dapat mengurangi masalah yang terjadi pada perusahaan tersebut serta pemilik perusahaan dapat meningkatkan profit pada perusahaanya.
Analisis Survival Model Regresi Cox terhadap Laju Kesembuhan Pasien Penyakit Dispepsia di RSUD Kabupaten Aceh Tamiang
Authors: SAFITRI NURUL KHIANA 
Published: February 2023

Analisis survival merupakan metode untuk menganalisis data berdasarkan waktu. Penelitian ini menganalisis faktor laju kesembuhan pasien dispepsia RSUD Kabupaten Aceh Tamiang menggunakan regresi cox proportional hazard. Populasi penelitian berupa rekam medis pasien dispepsia rawat inap di RSUD Kabupaten Aceh Tamiang pada Januari-Desember 2018, sedangkan sampel diambil sebanyak 87 pasien. Hasil menunjukkan faktor yang mempengaruhi laju kesembuhan pasien adalah infeksi Helicobacter pylori, dimana laju kesembuhan pasien yang tidak terinfeksi Helicobacter pylori 6,019 kali lebih cepat dari pasien terinfeksi Helicobacter pylori yang berarti pasien penderita penyakit dispepsia yang terinfeksi Helicobacter pylori memiliki laju kesembuhan lebih lama dari pasien tidak terinfeksi Helicobacter pylori.
Peramalan Curah Hujan Di Kota Medan menggunakan Metode Support Vector Regression
Authors: Siregar Nadhilla Asyraf 
Published: February 2023

Penelitian ini dilakukan pada data curah hujan Kota Medan. Selama ini curah hujan tidak dapat ditebak tinggi-rendahnya, sehingga banyak dari masyarakat yang masih kurang strategi dalam menghadapi naik turunnya curah hujan. curah hujan merupakan salah satu variabel penentu kondisi iklim, berkaitan langsung dengan keberhasilan bidang pertanian, dan perkebunan. Peningkatan jumlah penduduk, pembangunan dan perkembangan kota, pertumbuhan industri, kepadatan lalu lintas, deforestasi, dan lain sebagainya juga telah banyak menarik perhatian dalam masalah perubahan iklim. Oleh karena itu, digunakan metode SVR (Support Vector Regression) untuk memprediksi curah hujan setiap bulan di tahun yang akan datang agar membantu pihak-pihak yang terdampak curah hujan memantapkan strategi dalam menghadapi naik-turunnya curah hujan. Tujuan penelitian ini untuk mengetahui peramalan curah hujan di Kota Medan dan mengetahui ketepatan peramalan. Hasil Prediksi SVR menunjukkan bahwa metode prediksi SVR ini sangat bagus digunakan untuk memprediksi curah hujan dengan ketepatan peramalan dilihat dari pengujian nilai RMSE terhadap nilai parameter pada model SVR. Adapun RMSE terbaik sebesar 0.038800637 dengan gamma sebesar 0.0005, C sebesar 0,0001, dan epsilon sebesar 1.
Biostimulating Extracts from Arctium lappa L. As Ecological Additives in Soybean Seed Coating Applications
Authors: Szparaga Agnieszka 
Published: February 2023

Abstract
This paper proposes a new biostimulant coating for soybean seeds. The aim of the study was to create a coating for Glycine max (L.) Merr. soybean seeds, using root infusion from Arctium lappa L. as a biostimulant component. The effectiveness of the produced coating was evaluated in a three-year field study. The analysis of the effectiveness of the developed coating was based on the evaluation of plant biometric traits and yield. The study showed that the designed and manufactured soybean seed coating based on the root infusion of Arctium lappa L. can be considered as a new agronomic strategy to improve the productivity of soybean Glicyne max (L.) Merr. under actual field conditions. The application of the biostimulant coating resulted in soybean plants with significantly increased biometric traits (plant height, height of the first pod set, number of pods per plant, number of seeds per pod) and productivity (yield improvement of more than 10%). Only a reduced weight of 1,000 seeds compared to control samples was noted.
Numerical Simulation of Soil Water Dynamics in Automated Drip Irrigated Okra Field Under Plastic Mulch
Authors: Nagaraju Vidya K. , Nagarajan Karuppalaki , Kannan Balaji , Ramanathan Subbiah , Duraisamy Ramasamy 
Published: February 2023

Abstract
In India, drip irrigation with plastic mulch is a common practise for irrigation that conserves water. For the design and administration of irrigation regimes, a thorough understanding of the distribution and flow of soil water in the root zone is required. It has been demonstrated that simulation models are effective tools for this purpose. In this work, an automated drip-irrigated Okra field with seven treatments namely T1- Soil moisture-based drip irrigation to 100% FC, T2- Soil moisture-based drip irrigation to 80% FC, T3- Soil moisture-based drip irrigation to 60% FC, T4- Timer based drip irrigation to 100% CWR, T5- Timer based drip irrigation to 80% CWR, T6- Timer based drip irrigation to 60% CWR and T7- Conventional drip irrigation at 100% CWR were utilised to mimic the temporal fluctuations in soil water content using the numerical model HYDRUS- 2D. With the help of the observed data, the inverse solution was used to optimise the soil hydraulic parameters. The model was used to forecast soil water content for seven field treatments at optimal conditions. Root mean square error (RMSE) and coefficient of determination (R2) were used to assess the congruences between the predictions and data. With RMSE ranging from 0.036 to 0.067 cm3 cm- 3, MAE ranging from 0.020 to 0.059, and R2 ranging from 0.848 to 0.959, the findings showed that the model fairly represented the differences in soil water content at all sites in seven treatments.
Computing Laplacian energy, Laplacian-energy-like invariant and Kirchhoff index of graphs
Authors: Bhatnagar S. , Merajuddin  , Pirzada S. 
Published: February 2023

Abstract
Let G be a simple connected graph of order n and size m. The matrix L(G)= D(G)− A(G) is called the Laplacian matrix of the graph G,where D(G) and A(G) are the degree diagonal matrix and the adjacency matrix, respectively. Let the vertex degree sequence be d1 ≥ d2 ≥··· ≥ dn and let μ1 ≥ μ2 ≥··· ≥ μn−1 >μn = 0 be the eigenvalues of the Laplacian matrix of G. The graph invariants, Laplacian energy (LE), the Laplacian-energy-like invariant (LEL) and the Kirchhoff index (Kf), are defined in terms of the Laplacian eigenvalues of graph G, as

L
E
=

∑

i
=
1

n

|

μ

i

-

2
m

n

|

LE = \sum\nolimits_{i = 1}^n {\left| {{\mu _i} - {{2m} \over n}} \right|}

,

L
E
L
=

∑

i
=
1

n
-
1

μ

i

LEL = \sum\nolimits_{i = 1}^{n - 1} {\sqrt {{\mu _i}} }

and

K
f
=
n

∑

i
=
1

n
-
1

1

μ

i

Kf = n\sum\nolimits_{i = 1}^{n - 1} {{1 \over {{\mu _i}}}}

respectively. In this paper, we obtain a new bound for the Laplacian-energy-like invariant LEL and establish the relations between Laplacian-energy-like invariant LEL and the Kirchhoff index Kf.Further,weobtain the relations between the Laplacian energy LE and Kirchhoff index Kf.
Computational complexity of network vulnerability analysis
Authors: Berberler Murat Erşen 
Published: February 2023

Abstract
Residual closeness is recently proposed as a vulnerability measure to characterize the stability of complex networks. Residual closeness is essential in the analysis of complex networks, but costly to compute. Currently, the fastest known algorithms run in polynomial time. Motivated by the fast-growing need to compute vulnerability measures on complex networks, new algorithms for computing node and edge residual closeness are introduced in this paper. Those proposed algorithms reduce the running times to Θ(n3) and Θ (n4) on unweighted networks, respectively, where n is the number of nodes.
Hourly electricity price forecast for short-and long-term, using deep neural networks
Authors: Dombi Gergely , Dulai Tibor 
Published: February 2023

Abstract
Despite the practical importance of accurate long-term electricity price forecast with high resolution - and the significant need for that - only small percentage of the tremendous papers on energy price forecast attempted to target this topic. Its reason can be the high volatility of electricity prices and the hidden – and often unpredictable – relations with its influencing factors.
In our research, we performed different experiments to predicate hourly Hungarian electricity prices using deep neural networks, for short-term and long-term, too. During this work, investigations were made to compare the results of different network structures and to determine the effect of some environmental factors (meteorologic data and date/time - beside the historical electricity prices). Our results were promising, mostly for short-term forecasts - especially by using a deep neural network with one ConvLSTM encoder.
Investigating the AlgoRythmics YouTube channel: the Comment Term Frequency Comparison social media analytics method
Authors: Osztián Pálma Rozália , Kátai Zoltán , Sántha Ágnes , Osztián Erika 
Published: February 2023

Abstract
In this paper we investigate the comments from the AlgoRythmics YouTube channel using the Comment Term Frequency Comparison social media analytics method. Comment Term Frequency Comparison can be a useful tool to understand how a social media platform, such as a Youtube channel is being discussed by users and to identify opportunities to engage with the audience. Understanding viewer opinions and reactions to a video, identifying trends and patterns in the way people are discussing a particular topic, and measuring the effectiveness of a video in achieving its intended goals is one of the most important points of view for a channel to develop. Youtube comment analytics can be a valuable tool looking to understand how the AlgoRythmics channel videos are being received by viewers and to identify opportunities for improvement. Our study focuses on the importance of user feedback based on ten algorithm visualization videos from the AlgoRythmics channel. In order to find evidence how our channel works and new ideas to improve we used the so-called comment term frequency comparison social media analytics method to investigate the main characteristics of user feedback. We analyzed the comments using both Youtube Studio Analytics and Mozdeh Big Data Analysis tool.
Some new results on colour-induced signed graphs
Authors: Sudheer Niranjana , George Ann Cherian , Aniyan Achu , Naduvath Sudev 
Published: February 2023

AbstractA signed graph is a graph in which positive or negative signs are assigned to its edges. We consider equitable colouring and Hamiltonian colouring to obtain induced signed graphs. An equitable colour-induced signed graph is a signed graph constructed from a given graph in which each edge uv receives a sign (−1)|c(v)−c(u)|,where c is an equitable colouring of vertex v. A Hamiltonian colour-induced signed graph is a signed graph obtained from a graph G in which for each edge e = uv, the signature function σ(uv)=(−1)|c(v)−c(u)|, gives a sign such that, |c(u)− c(v)| ≥ n − 1 − D(u, v) where c is a function that assigns a colour to each vertex satisfying the given condition. This paper discusses the properties and characteristics of signed graphs induced by the equitable and Hamiltonian colouring of graphs.
King Mob and Contempt of Congress
Authors: Carback Joshua T. 
Published: February 2023

Abstract
The aftershocks of the riot at the United States Capitol on January 6, 2021, continue to ripple through the American public square. The United States Department of Justice brought over 750 criminal charges against the assailants. The United States House of Representatives appointed a Select Committee to investigate the riot. And the public continues to discuss the meaning of January 6 as these criminal prosecutions continue and the House's investigation concludes. Although this is the first time in American history that a mob actually breached the Capitol, riots and insurrections attempting to overawe parliamentary bodies on their own grounds are well precedented in the Anglo-American legal tradition.
The purpose of this article is to provide historical context for affrays like the Trump Riot of January 6 and provide a framework for how legislatures should respond. Parliamentary precedents on both sides of the Atlantic prove that anyone who riots at the legislature is in contempt of parliamentary privilege. The legislature can refer such contempt to the executive for criminal prosecution. In egregious cases, however, the legislature should not hesitate to vindicate itself by using its own contempt power. The legislature should appoint a joint select committee or independent commission to investigate and hold those politically responsible to account.
There may be cases when an officer or an agent of the executive provokes or incites a riot at the Capitol. The legislature must prevail in its efforts to bring them in for a hearing and compel them to produce discovery. Of the three coordinate branches of the federal government the legislature is first among equals. Parliamentary privilege must therefore trump executive privilege during an investigation of an assault on the national assembly. Any member of the executive who contemptuously incites a mob at the seat of government is liable for discipline under the inherent power of Congress.
Octahedral Creativity Framework
Authors: Atienza María Corcuera 
Published: February 2023

Abstract
Currently, Rhodes’ 4p framework of creativity is the most widely accepted framework to understand creativity. In spite of this, there are many new theories focused on some facets of creativity that shape a fragmented puzzle with pieces that overlap and intertwine in a very complex way. The absence of an integrating framework adapted to the incursion of new theories prevents us from achieving that global vision of a finished puzzle, where each theory fits perfectly. The Octahedral Creativity Framework (OCF) fills this gap. It is built on Hermagoras´ framework of seven circumstances (who, in what way, what, where, when, why, and by what means) and 26 current frameworks and theories of creativity, including Rhodes’ 4P creativity framework (Person-who, Process-How, Product-what and Press-where/when). It is shaped as an octahedron, where the six main dimensions are placed on their vertices: Person, Product, Process, Environment, Motive, and Means. Factors derived from dimension interaction are located on its corresponding edges and faces. This research shows graphically how 26 of the main creativity frameworks and theories integrate their dimensions and factors in the OCF. The OCF provides a better understanding of the construct of creativity. This global integrative framework opens new research paths based on certain factors and their interaction with other close elements. The gain in knowledge also suggests pragmatic consequences in the lines of evaluating and teaching creativity not only to enhance economic development but to enhance our personal well-being.
Evaluative Self-efficacy and its Potential Role in the Evaluation and Selection of Ideas: A Metacognitive Perspective
Authors: Puente-Díaz Rogelio , Cavazos-Arroyo Judith 
Published: February 2023

Abstract
In two studies, we examined the creativity of ideas generated, as rated by judges, and metacognitive feelings as antecedents of evaluative self-efficacy and relevance of strengths and weaknesses of the idea generated and accurate idea selection as consequences within the creative process. Participants in both studies completed a measure of metacognitive feelings, evaluative self-efficacy, and a divergent thinking task. In addition, participants rated their ideas and either identified strengths and weaknesses or selected their most creative idea. Two independent judges evaluated all ideas and either assessed the relevance of the strengths and weaknesses identified by participants or selected the most creative idea. Results showed a positive relationship between judges-evaluations and evaluative self-efficacy in one study and a positive relationship between metacognitive feelings and evaluative self-efficacy in both studies. Regarding consequences, results showed a positive relationship between evaluative self-efficacy and the relevance of strengths and weaknesses and a non-significant relationship between evaluative self-efficacy and accurate idea selection. The implications of our results for metacognition and creative beliefs were explained.