Open Access and Peer Review Journals

SDIP Press is a peer review, Open Access Scientific research publication journal that publishes 17 Diverse Categories of Journals. SDIP Press has more than 300 Academic reviewer from all over the world. Our journals have a very low application process charge and fast publication record. The journals are listed below :

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Latest Articles

Open Access Category: AJAHS Total View - 438
Phenotypic evaluation of cassava genotypes (Manihot esculenta) under moisture stress Paper ID: AJAHS-24-12-2020-185
Abstract : Food security continues to be affected by global climatic changes which include increase in drought stress that reduces food availability to feed an ever growing population. One of the sustainable solutions is the development of crop cultivars that are tolerant to such stresses. Among food crops, cassava has a very high potential to mitigate hunger. A field experiment was conducted to evaluate the performance of 79 cassava (Manihot esculenta) varieties under drought stress. The parameters evaluated were storage root fresh weight (SRFW), number of storage roots (NSR), above ground weight (AGW), plant height (PH), harvest index (HI) and leaf retention (LR). Generally, water deficit suppressed cassava growth and productivity and this was observed by lower outputs obtained from most traits under water deficit treatment as compared to well-watered treatment. SRFW was used to select best performing varieties with the highest SRFW being observed in LML/2008/363 (26 kg). Results showed significant variations among the varieties for most of the traits. Under the stressed and non-stressed treatments, positive correlations were observed between SRFW and most traits. Genotypes; LML/2008/363, TZ-130, M96/7151, MM06/0013, I95/034095-N, MM98/1642, I92/0427 and 29B29 performed well for important drought traits (NSR,AGW,HI and LR) and these are recommended as gene sources for cassava improvement programs and farmers that target maximum productivity under stressful conditions.
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Open Access Category: BJCSIT Total View - 352
Empirical Study of Features and Unsupervised Sentiment Analysis Techniques for Depression Detection in Social Media Paper ID: BJCSIT-11-12-2020-184
Abstract : This study provides an empirical evaluation of diverse traditional learning, deep learning, and unsupervised techniques based on diverse sets of features for the problem of depression detection among Twitter and Reddit users. The main objective of this study is to investigate the most appropriate features, document representations, and text classifiers for the significant problem of depression detection on social media microblogs, such as tweets, as well as macroblogs, such as posts on Reddit. The study's investigation will concentrate on the linguistic characteristics, blogging behavior, and topics for features, multi-word, and word embeddings for document representation as well as on unsupervised learning for text clustering. This study will select the best approaches in the literature as baselines to practically examine them on the depressive and non-depressive dataset of blogs designed for this work. The study's integrations and ensembles of the selected baselines will be experimented as well to recommend a design for an effective social media blog classifier based on unsupervised learning and WE document representation. The study concluded that the experiments proved that a stacking ensemble of Adam Deep Learning With SOM clustering followed by Agglomerative Hierarchical clustering with topic features and pre-trained word2vec embeddings achieved an accuracy more than 92% on Twitter and Reddit depression analysis datasets.
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Open Access Category: JMHS Total View - 348
Giant Cell Fibroblastoma: A Case Report Paper ID: JMHS-16-10-2020-182
Abstract : Giant cell fibroblastoma (GCF) is an uncommon, mesenchymal neoplasm of the soft tissues. It is an unusual childhood tumour of intermediate malignancy. We are reporting a case of giant cell fibroblastoma in a 3 and a half-year-old boy who presented with painless oval swelling at the left shoulder that appeared from birth. MRI of the shoulder revealed a subcutaneous mass. The patient underwent a total excision of the mass. Histological, immunohistochemical and genetic examinations have shown giant cell fibroblastoma. This tumour poses diagnostic challenges to the pathologist because it may be confused with malignant mesenchymal tumours with different prognosis.
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Open Access Category: AJFSN Total View - 371
Effect of groundnut cake flours supplementation on proximate composition, functional and sensory properties of pearl millet flour based complementary food Paper ID: AJFSN-24-06-2020-176
Abstract : In this study, effect of groundnut cake flours supplementation on proximate composition, functional and sensory properties of pearl millet flour based complementary food was evaluated. Ground nut cake obtained from different oil extraction methods (hot water and hexane) and pearl millet were processed into flours. The ground cake flours were sieved and mixed with the millet flour in the ratio of 90:10, 80:20, 70:30, 60:40 and 50:50, respectively The proximate composition, functional properties (swelling power, bulk density, wettability, dispersability) and acceptability were determined. Data obtained were statistically analyzed using analysis of variance and where differences exited, means were separated using Duncan Multiple Range Test. Result indicated that, moisture content of the complementary food decreased from 12.16 to 6.21%) with increase in protein (9.37 to 19.14%), fat (3.18 to 9.02%), crude fibre (2.19 to 2.70%), ash (1.00 to 2.35%) and carbohydrate (62.85 to 74.28%) contents, while the Water absorption capacity ranged from 3.15 to 4.75%, wettability from 68.00 to 126.5 %, bulk density from 0.08 to 0.77 g/ml and dispersability from 47.5 to 60.00% and decreased with increase in rate of substitution. The complementary foods from formulations of MGhx 60:40 (60% Pearl millet flour and 40% ground nut cake flour from hexane oil extracted) and MGhx50:50 (50% Pearl millet flour and 50% ground nut cake flour of hexane oil extracted) were the best formulations in terms of
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Open Access Category: AJFSN Total View - 385
Detoxification effect of Bifidobacterium bifidum against aflatoxin M1 in weaning baby food Paper ID: AJFSN-17-05-2020-174
Abstract : Aflatoxin M1 (AFM1) concerns potent hazard in baby food for infant and young children. Bacterial detoxification is a promising method to reduce mycotoxins in food matrix. Bifidobacterium bifidum investigate the binding capacity towards AFM1 in phosphate buffered saline (PBS) and prepared baby food. The binding ability was evaluated regarding to bacterial population (107, 108 and 109 cfu/g), incubation intervals (0, 6, 12 and 24 hrs), viable and heat treated cells against AFM1. The unbound AFM1 was quantitative analyzed by Competitive Direct ELISA method. The experimental use of several concentrations of B. bifidum showed gradual AFM1 decrease forming binding AFM1-bacteria complex by incubation time. The AFM1 reduction percent/24hrs of B. bifidum cells ranged from 34.15 to 56.66% in PBS and from 35.77 to 64.10% in baby food samples. High bacterial concentration, nonviable bacteria and increase storage intervals are factors had significant (p<0.05) AFM1-bacteria binding ability to reduce AFM1 in spiked baby food samples contained 1x109 cfu/g of nonviable bacterial cells to be 17.72±0.68 ng/kg. The high bacterial concentration of nonviable cells show significant high detoxification effect in spiked samples, when compared with PBS (p<0.05) and may comply with the acceptable limits in the Egyptian standards. It could be concluded that, the bacterial population, heat-treated cells and time of incubation have a positive binding effect toward AFM1 in baby food.
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A pioneer in scholarly open access publishing, SDIP PRESS has supported academic communities since 2018. Based in London, UK. SDIP PRESS has the mission to foster open scientific exchange in all forms, across all disciplines. Our 17 diverse, peer-reviewed, open access journals are supported by over 300 academic editors. We serve scholars from around the world to ensure the latest research is freely available and all content is distributed under a Creative Commons Attribution License (CC BY).

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