bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early Life Bacterial Succession Under Different Diet Regime Atlantic Salmon (Salmo salar L.)
Authors: Nikouli Eleni , Kormas Konstantinos , Jin Yang , Olsen Yngvar , Bakke Ingrid , Vadstein Olav 
Published: November 2020

Abstract

Backgound: The present study investigated the effect of different lipid source in the feed on the colonization and the bacterial succession in early life stages (fertilized eggs until 93 days post first feeding) of S. salar. The two diets used in this study, FD (fish oil based diet) and VD (vegetable oil based diet), were formulated to cover the fish nutritional requirements and except the lipid source the components were identical between them. Hindgut samples collected at 0, 35, 65 and 93 days post first feeding (dpff). Moreover, fertilized eggs, yolk sac larvae, rearing water and feed were also sampled in order to assess a possible contribution of their microbiota to the colonization of the gut. To analyze the composition of the bacterial communities, the Illumina MiSeq platform was used.Results: S. salar growth variables (mean wet weight and total length) did not differ significantly during the experiment (p> 0.05) across replicate tanks and between dietary treatments. The analysis of the 16S rDNA sequencing data revealed a total of 4548 unique OTUs, affiliated in 21 bacterial phyla. Proteobacteria, Firmicutes, Actinobacteria and Bacteroidetes were the dominant bacterial phyla. 13 OTUs were shared among all S. salar samples independent of life stage and diet treatment. Similarity percentages analysis (SIMPER) based on Bray–Curtis distance, showed that the average dissimilarity among the groups of the same life stages was 76.0%, whereas the average dissimilarity within groups of the same dietary treatment was 78.5% (FD) and 83.6% (VD).Conclusion: Feeding on either fish oil or vegetable oil-based diets, did not result in significant differences in the intestinal microbiota. The composition of gut microbiota did not differ significantly between the two dietary treatments, but changed with age, and each stage was characterized by different dominant bacteria. These OTUs are related to species that provide different functions and have been isolated from a variety of environments. Finally, this study revealed the occurrence of a core microbiota independent of the studied life stages and diet during the early life stages of Atlantic salmon.
Assessment of long-term hydrogeological changes and plausible solutions to manage hydrological extremes in the transnational Ganga river basin
Authors: Surinaidu L. , Amarasinghe Upali , Maheswaran R. , Nandan M. J. 
Published: November 2020

AbstractThe Ganga is an international transboundary river that flows across three major riparian countries: India, Nepal, and Bangladesh, where India shares a significant proportion of the total basin area. The river system is highly dynamic and regularly floods in all three countries due to abundant rainfall in a short period of only four months each year that causes tremendous loss of both property and human life. In this study, we have done a synoptic review to synthesize the hydrology, hydrogeology, and modeling studies that have analyzed hydrological changes and their impacts in the Ganga basin. This review also identifies some of the knowledge gaps and discusses possible options for enhancing the understanding of sustainable water development and management. This review indicated that transparent data sharing, use of satellite-based observations along with in-situ data, integrated hydro-economic modeling linked to reliable coupled surface–groundwater models, a central shared decision support center for early warning systems to deal with hydrological extremes, joint river commissions and monitoring teams, and multilateral water sharing treaties (agreements) are required to promote sustainable and equitable distribution of water resources and to avoid water sharing conflicts in the Ganga basin.
Tinocordiside from Tinospora cordifolia (Giloy) May Curb SARS-CoV-2 Contagion by Disrupting the Electrostatic Interactions between Host ACE2 and Viral S-Protein Receptor Binding Domain
Authors: Balkrishna Acharya , Pokhrel Subarna , Varshney Anurag 
Published: November 2020

Background:
SARS-CoV-2 has been shown to bind the host cell ACE2 receptor through its spike protein receptor binding domain (RBD), required for its entry into the host cells.

Objective:
We have screened phytocompounds from a medicinal herb, Tinospora cordifolia, for their capacities to interrupt
the viral RBD and host ACE2 interactions.

Methods:
We employed molecular docking to screen phytocompounds in T. cordifolia against the
ACE2-RBD complex, performed molecular dynamics (MD) simulation, and estimated the
electrostatic component of binding free energy.

Results:
‘Tinocordiside’ docked very well at the center of the interface of ACE2-RBD complex,
and was found to be well stabilized during MD simulation. Tinocordiside incorporation
significantly decreased the electrostatic component of binding free energies of the ACE2-RBD
complex (23.5 and 17.10 kcal/mol in the trajectories without or with the ligand, respectively). As
the basal rate constant of protein association is in the order of 5 (105 to 106 M-1S-1), there might be
no big conformational change or loop reorganization, but involves only local conformational
change typically observed in the diffusion-controlled association. Taken together, the increase in
global flexibility of the complex clearly indicates the start of unbinding process of the complex.

Conclusion:
It indicates that such an interruption of electrostatic interactions between the RBD
and ACE2, and the increase in global flexibility of the complex would weaken or block SARSCoV-
2 entry and its subsequent infectivity. We postulate that natural phytochemicals like
Tinocordiside could be viable options for controlling SARS-CoV-2 contagion and its entry into
host cells.
Preparation and Applications of Guar Gum Composites in Biomedical, Pharmaceutical, Food, and Cosmetics Industries
Authors: Madni Ahmed , Khalid Ayesha , Wahid Fazli , Ayub Humaira , Khan Romana , Kousar Rozina 
Published: November 2020

Background:
Guar gum is a water-soluble polysaccharide called galactomannan, obtained from the endosperm
of Cyamopsis tetragonolobus, plant belonging to Leguminosae family. Galactomannan is a biopolymer rich in functional
groups, particularly hydroxyl groups, which expand the possibilities of its chemical modification and, therefore, of
biological applications.

Objective:
This review aims to present and discuss various methods used in the preparation of guar gum composites and
their applications in biomedical, pharmaceutical, food and cosmetic industry.

Methods:
The published data about the extraction procedure of guar gum and its various physico-chemical properties
have been collected and analyzed. Further, the published information about various methods used for the preparation of
guar gum composite systems including film, hydrogel and beads have been gathered and comprehensively discussed in
this review. The applications of guar gum based composites in the field of biomedical, pharmaceutical, food and
cosmetics have also been reviewed in detail.

Results:
Different guar gum composite systems have shown multifunctional properties, including
gelling and emulsifying ability, thickening and binding property, quick solubility in water, good biocompatibility,
and biodegradability in the domain of biomedical, pharmaceutical, food, and cosmetic
industries.

Conclusion:
Recent advancements in the preparation and applications of guar gum composites
summarized in this review will enhance the practical applications of this polymer in various industries.
Novel Structure for E-business Through Dynamic Web Page Visualization
Authors: Singhal Shefali , Tanwar Poonam 
Published: November 2020

Now-a-days when everything is going digitalized, internet and web plays a vital role in everyone’s life. When one has to ask something or has any online task to perform, one has to use internet to access relevant web-pages throughout. These web-pages are mainly designed for large screen terminals. But due to mobility, handy and economic reasons most of the persons are using small screen terminals (SST) like mobile phone, palmtop, pagers, tablet computers and many more. Reading a web page which is actually designed for large screen terminal on a small screen is time consuming and cumbersome task because there are many irrelevant content parts which are to be scrolled or there are advertisements, etc. Here main concern is e-business users. To overcome such issues the source code of a web page is organized in tree data-structure. In this paper we are arranging each and every main heading as a root node and all the content of this heading as a child node of the logical structure. Using this structure, we regenerate a web-page automatically according to SST size.

Background:
DOM and VIPS algorithms are the main background techniques which are supporting the current research.

Objective:
To restructure a web page in a more user friendly and content presenting format.

Method Backtracking:
Method Backtracking:

Results:
web page heading queue generation.

Conclusion:
Concept of logical structure supports every SST.
Selection of Sustainable Suppliers Using the Fuzzy MARCOS Method
Authors: Puška Adis , Stević Željko , Stojanović Ilija 
Published: November 2020

Background::
Selection of Sustainable Suppliers is a key term in sustainable supply
chain management. This is the reason to choose the supplier who will support the company to implement
sustainability in its business, especially in the supply chain.

Objective::
The aim of this paper is to establish a new innovative model for decision-making based
on a fuzzy approach.

Methods::
This decision-making problem is solved by applying multi-criteria decision-making
since there are several criteria according to which a decision should be made: economic, social, and
environmental. In order to make the final decision on the supply chain better and safer, the social
criteria were modified in this paper, adding ethical criteria. The example with modified social criteria
in this paper was shown on the example of the company "Voćar" Brčko, which deals with the
production of food products. In this paper, the fuzzy Measurement Alternatives and Ranking, according
to the Compromise Solution Method, was used.

Results::
The findings have shown that supplier A1 has the best results, which were confirmed with
the first sensitivity analysis. However, the second sensitivity analysis has shown that supplier A5
was better than supplier A1 in 14 scenarios. Due to these findings, no unanimous decision can be
made about which supplier among the two, in this case, would contribute more.

Conclusion::
This paper has shown that the selection of sustainable suppliers is crucial for any
company focused on the principles of sustainability in business. Moreover, this paper has shown
that it is sometimes very difficult to select just one supplier.
Feature Clustering and Ensemble Learning Based Approach for Software
Defect Prediction
Authors: Jain Aman Kumar , Srivastava R. 
Published: November 2020

Objective::
Defects in delivered software products not only have financial implications but also blemish the reputation of the organisation and lead to wastage of time and human resource. This paper aims to detect defects in software modules.

Methods::
Our approach sequentially combines SMOTE algorithm to deal with class imbalance problem, K - means clustering algorithm to obtain a set of key features based on inter-class and intra-class coefficient of correlation and ensemble modelling to predict defects in software modules. After cautious examination, an ensemble framework of XGBoost, Decision Tree and Random Forest is used for prediction of software defects owing to numerous merits of ensembling approach.

Results::
We have used five open-source datasets from NASA Promise Repository for Software Engineering. The result obtained from our approach has been compared with that of individual algorithms used in ensemble. A confidence interval for the accuracy of our approach with respect to performance evaluation metrics namely Accuracy, Precision, Recall, F1 score and AUC score has also been constructed at a significance level of 0.01.

Conclusion::
Results have been depicted pictographically.
A Heuristic Video Recommendation Algorithm based on Similarity
Computation for Multiple Features Analysis
Authors: Li Shuangyuan 
Published: November 2020

Objective::
The short video applications have achieved great success in recent years. The number of videos being shot and uploaded to these platforms has increased greatly. In this way, mining and recommending videos for users based on their interests have become a very difficult problem in these video distribution platforms. Under this case, it becomes particularly important to design efficient video recommendation algorithms for these platforms. In order to solve the problem faced by high sparsity and large scale data sets in the field of media big data mining and recommendation, a heuristic video recommendation algorithm for multi-dimensional feature analysis and filtering is proposed.

Methods::
Firstly, the video features are extracted from multiple dimensions such as user behavior and video tags. Then, the similarity analysis is carried out, and the video similarity degree is calculated by weighting, so as to obtain the similar video candidate set, and filter the similar video candidate set. After that, the videos with the highest scores are recommended to users by sorting. Finally, the video recommendation algorithm proposed in this paper is implemented by using the C language.

Results::
Compared with the benchmark, the proposed video recommendation algorithm has improved the accuracy by 6.1%-136.4%, the recall rate by 19.3%-30.9%, the coverage rate by 55.6%-59.5%, the running time by 42.7%-60.4%, and the cache hit ratio by 10.9%-47.4%.

Conclusion::
The proposed algorithm can effectively and greatly improve the accuracy, recall rate, coverage rate, running time and cache hit ratio.
Factors Affecting Millennial Generation Interest of Using E-Money
Authors: Putritama Afrida , Sari Rizki Shinta Puspita 
Published: November 2020

Abstract: This research aims to answer the research gap of previous TAM research, as the factors affecting interest in using e-money on millennials by using 2 aspects of the TAM (ease and usefulness) with promotion and risk of use. This research applied causal-comparative to quantitative research methods. The results imply that: 1) The higher the ease of use of e-money, the higher the interest of millennials in using e-money; 2) Millennials have perceived the benefits from using e-money in transactions which certainly encourages the interest on using it; 3) The more intense the promotion carried out by the publisher, the millennials will be more likely to experience the promotion, so that it can encourage the interest in using e-money; 4) Millennials tend to prioritize the benefits than the risks of using e-money.Keywords: interest to use, e-money, millennials Faktor yang Mempengaruhi Minat Penggunaan E-money pada Generasi MilenialAbstrak: Penelitian ini bertujuan menjawab research gap penelitian TAM terdahulu yaitu mengetahui faktor yang mempengaruhi minat penggunaan e-money pada generasi milenial dengan menggunakan 2 aspek pada teori TAM (kemudahan dan kebermanfaatan) dengan daya tarik promosi dan risiko penggunaan. Penelitian ini menggunakan metode penelitan kuantitatif kausal komparatif. Hasil penelitian ini mengimplikasikan bahwa: 1) Semakin tinggi kemudahan penggunaan e-money yang dirasakan, maka semakin tinggi pula minat generasi milenial untuk menggunakan e-money, 2) Generasi milenial telah merasakan manfaat yang dihadirkan dari penggunaan e-money dalam bertransaksi yang tentunya mendorong minat menggunakan e-money; 3) Semakin gencar promosi yang dilakukan pihak penerbit maka semakin besar kemungkinan generasi milenial merasakan promosi yang diberikan sehingga mampu mendorong minat untuk menggunakan e-money; 4) Generasi milenial cenderung mementingkan manfaat yang didapat dibandingkan dengan risiko yang akan diterima dari penggunaan e-money.Kata kunci: minat penggunaan, e-money, generasi milenial
Implication of Future Time Perspective and Hope on the Continuance Commitment of Hotel Employees
Authors: Oktavio Adrie , Kaihatu Thomas Stefanus 
Published: November 2020

Abstract: In the Indonesian hotel industry, high employee turnover rates are very common costly. One of the reasons that causes hotel employee turnover to be high is low commitment. The low commitment is triggered by the low hope of hotel employees to remain and to be committed to continuing their careers in the hotel where they are working today. Employees need certainty about their future that should be guaranteed by hotel management. This study tries to analyze the role of Future Time Perspective (FTP) and its effect on hope and continuance commitment. The data were derived from distributing questionnaires to hotel employees spread in 45 three-star hotels in Surabaya, and subsequently analyzed using the General Structured Component Analysis (GSCA) tool. The results show that FTP influences hope and continuance commitment significantly. Similarly, hope has a significant effect on continuance commitment. Hope is also able to act as a mediator between FTP and continuance commitment.Keywords: hotel industry, future time perspective, hope, continuance commitment Implikasi Future Time Perspective dan Harapan Terhadap Continuance Commitment Karyawan HotelAbstrak: Di industri perhotelan Indonesia, tingkat turnover karyawan yang tinggi sudah menjadi rahasia umum dan sangat memakan biaya. Salah satu alasan yang menyebabkan tingginya tingkat turnover karyawan hotel adalah komitmen yang rendah. Komitmen yang rendah tersebut dipicu oleh rendahnya tingkat harapan karyawan hotel untuk tetap tinggal serta berkomitmen untuk melanjutkan karir di hotel tempat mereka bekerja saat ini. Karyawan hotel membutuhkan kepastian akan masa depannya yang seharusnya bisa dijamin oleh pihak manajemen hotel. Penelitian ini mencoba menganalisa peran Future Time perspective (FTP) dan pengaruhnya terhadap harapan dan continuance commitment karyawan hotel. Data penelitian berasal dari penyebaran kuesioner kepada karyawan hotel yang tersebar di 45 hotel bintang tiga di Surabaya dan selanjutnya dianalisis menggunakan alat analisis General Structured Component Analysis (GSCA). Hasilnya menunjukkan bahwa FTP mempengaruhi harapan dan continuance commitment secara signifikan. Harapan juga berpengaruh secara signifikan terhadap continuance commitment. Harapan juga berperan sebagai mediator antara FTP dan continuance commitment.Kata kunci: industri perhotelan, future time perspective, harapan, continuance commitment
The Effect of Capital Structure on Company Financial Performance
Authors: Nini Nini , Patrisia Dina , Nurofik Agus 
Published: November 2020

Abstract: This study aims to examine the effect of capital structure on the company's financial performance particularly in manufacturing companies listed on the Indonesia Stock Exchange for the 4 years period from 2014 to 2018. Capital structure is measured by Market Total Leverage (MTLEV), Market Long-Term Leverage (MLLEV) and Market Short-Term Leverage (MSLEV). On the other hand, the company's financial performance is measured by Return on Equity (ROE) and Price to Book Value (PBV). The populations in this study are manufacturing companies listed on the Indonesia Stock Exchange and the selection of samples was determined by purposive sampling method, with the final samples as many as 333 company-years. The type of data used is secondary data from IDX using multiple regression analysis methods. The results of the analysis show that the capital structure has negative and significant effect on the company's financial performance in each model.Keywords: capital structure, company financial performance Pengaruh Struktur Modal Terhadap Kinerja Keuangan PerusahaanAbstrak: Penelitian ini bertujuan untuk menguji pengaruh struktur modal terhadap kinerja keuangan perusahaan pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia periode 2014-2018. Struktur modal diukur dengan Market Total Leverage (MTLEV), Market Long-Term Leverage (MLLEV) dan Market Short-Term Leverage (MSLEV). Sementara kinerja keuangan perusahaan diukur dengan Return on Equity (ROE) dan Price to Book Value (PBV). Populasi pada penelitian ini adalah perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia. Sampel ditentukan dengan metode purposive sampling, kemudian sampel akhir diperoleh sebanyak 333 perusahaan-tahun. Jenis data yang digunakan adalah data sekunder dari IDX dengan menggunakan metode analisis regresi berganda. Hasil analisis menunjukan bahwa struktur modal berpengaruh negatif dan signifikan terhadap kinerja keuangan perusahaan disetiap model.Keywords: struktur modal, kinerja keuangan perusahaan
Assessment of Psychological Distress in Adults With Type 2 Diabetes Mellitus Through Technologies: Literature Review
Authors: Bassi Giulia , Gabrielli Silvia , Donisi Valeria , Carbone Sara , Forti Stefano , Salcuni Silvia 
Published: November 2020

Background
The use of technological devices can support the self-management of individuals with type 2 diabetes mellitus (T2DM), particularly in addressing psychological distress. However, there is poor consistency in the literature regarding the use of psychological instruments for the web-based screening of patients’ psychological distress and subsequent monitoring of their psychological condition during digital interventions.

Objective
This study aims to review previous literature on the types of psychological instruments delivered in digital interventions for assessing depression, anxiety, and stress in patients with T2DM.

Methods
The literature review was conducted using the PsycINFO, CINAHL and PubMed databases, in which the following terms were considered: diabetes mellitus, measure, assessment, self-care, self-management, depression, anxiety, stress, technology, eHealth, mobile health, mobile phone, device, and smartphone.

Results
In most studies, psychological assessments were administered on paper. A few studies deployed self-reporting techniques employing automated telephonic assessment, a call system for screening and monitoring patients’ conditions and preferences, or through telephone interviews via interactive voice response calls, a self-management support program leveraging tailored messages and structured emails. Other studies used simple telephone interviews and included the use of apps for tablets and smartphones to assess the psychological well-being of patients. Finally, some studies deployed mood rating scales delivered through tailored text message–based support systems.

Conclusions
The deployment of appropriate psychological tools in digital interventions allows researchers and clinicians to make the screening of anxiety, stress, and depression symptoms faster and easier in patients with T2DM. Data from this literature review suggest that mobile health solutions may be preferred tools to use in such digital interventions.