bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural Carbohydrates-based Nanoparticles: A Review of Pharmaceutical
Applications
Authors: Kumar Karan , Wadhwa Sheetu , Sharma Arun , Singh Gurvinder , Kumar Rajesh 
Published: August 2022

Abstract:
Carbohydrates are the most common biopolymers with the capability to construct supramolecular structures. For biomedical purposes, a variety of carbohydrate-based nanoparticles have been
used. Basic monosaccharides or disaccharides, along with sophisticated polymeric systems, are used to
create these structures. The shape and properties of these materials can be modified using chemical
alterations. Carbohydrates-based nanogels and nanoparticles have been used for drug delivery, tissue
engineering, and cell imaging. Carbohydrate-based elements are excellent derivatives for the production of responsive systems because of the reversible character of the assembly, which is frequently
based on a mixture of hydrophobic interactions and hydrogen bonding. The present manuscript attempts to review the recent studies on carbohydrate-based nanomaterials and an update on the patents
granted for the same.
MicroRNA-16 Represses TGF-β1-induced Epithelial-to-Mesenchymal
Transition in Human Lung Adenocarcinoma Cell Line
Authors: Rajasekaran Subbiah , Mishra Sehal , Gandhi Deepa 
Published: August 2022

Background:
The transforming growth factor-beta1 (TGF-β1)-induced epithelial-tomesenchymal
transition (EMT) has a crucial effect on the progression and metastasis of lung cancer
cells.

Objective:
The purpose of this study was to investigate whether microRNA (miR)-16 can suppress
TGF-β1-induced EMT and proliferation in human lung adenocarcinoma cell line (A549).

Methods:
Quantitative real-time polymerase chain reaction (RT-qPCR) was used to detect the expression
of miR-16. The hallmarks of EMT were assessed by RT-qPCR, Western blotting, and cell proliferation
assay. A bioinformatics tool was used to identify the putative target of miR-16. The activation of
TGF-β1/Smad3 signaling was analysed using Western blotting.

Results:
Our results showed that miR-16 expression was significantly down-regulated by TGF-β1 in
A549 cells. Moreover, agomir of miR-16 suppressed TGF-β1-induced EMT and cell proliferation.
Computational algorithms predicted that the 3’-untranslated regions (3’-UTRs) of Smad3 are direct targets
of miR-16. In addition, miR-16 mimic was found to inhibit the TGF-β1-induced activation of the
TGF-β1/Smad3 pathway, suggesting that miR-16 may function partly through regulating Smad3.

Conclusion:
Our results demonstrated that overexpression of miR-16 suppressed the expression and activation
of Smad3, and ultimately inhibited TGF-β1-induced EMT and proliferation in A549 cells. The
present findings support further investigation of the anti-cancer effect of miR-16 in animal models of
lung cancer to validate the therapeutic potential.
Are Herbal-peptides Effective as Adjunctive Therapy in Coronavirus
Disease COVID-19?
Authors: Rafieian-Kopaei Mahmoud , Aleebrahim-Dehkordi Elahe , Soveyzi Faezeh , Saberianpour Shirin 
Published: August 2022

Background:
Plant antiviral peptides (AVP) are macromolecules that can inhibit the
pathogenesis of viruses by affecting their pathogenic mechanism, but most of these peptides can
bind to cell membranes, inhibit viral receptors, and prevent viruses. Recently, due to the
coronavirus pandemic, the availability of appropriate drugs with low side effects is needed. In this
article, the importance of plant peptides in viral inhibition, especially viral inhibition of the
coronavirus family, will be discussed.

Methods:
By searching the databases of PubMed, Scopus, Web of Science, the latest articles on
plant peptides effective on the COVID-19 virus were collected and reviewed.

Results:
Some proteins can act against the COVID-19 virus by blocking sensitive receptors in
COVID-19, such as angiotensin-converting enzyme 2 (ACE2). The 23bp sequence of the ACE2
alpha receptor chain can be considered as a target for therapeutic peptides. Protease and RNAP
inhibitors and other important receptors that are active against COVID-19 should also be
considered.

Conclusion:
Herbal medicines with AVP, especially those with a long history of antiviral effects,
might be a good choice in complement therapy against the COVID-19 virus.
Robust and Lightweight System for Gait-based Age Estimation towards
Viewing Angle Variations
Authors: Upadhyay Jaychand , Gonsalves Tad , Katkar Vijay 
Published: August 2022

Abstract:
Gait based age recognition is a very challenging task, as it involves multiple hurdles such as change in viewpoint of the person. The proposed system handles this problem by performing a sequence of tasks such as GEI formation from silhouette, applying DCT on GEI and extracting the features and finally using MLP for age estimation. The proposed system proves its effectiveness comparing the performance with state of art methods -conventional methods and deep learning based methods. The performance of the system is estimated on OU-MVLP and OULP-Age datasets. The experimental results show the robustness of the system against viewing angle variations.

Background:
In computer vision applications, gait-based age estimation across several cameras is critical, especially when following the same person in various viewpoints.

Objective:
To implement the system which adopts lightweight approach for gait-based age estimation.

Method:
The proposed system uses a combination of the discrete cosine transform (DCT) and multi-layer perceptron (MLP) on gait energy image (GEI) to perform age estimation.

Result:
The performance of the system is extensively evaluated on the OU-MVLP and OULP-Age datasets.

Conclusion:
The proposed system attains best mean absolute error (MAE) of 5.05 (in years) for the OU-MVLP dataset, and 5.65 for the OULP dataset.
Evaluating the Accuracy of Computed Tomography of the Kidneys, Ureters, and Bladder Interpretation by Urology Trainees for Suspected Acute Nephrolithiasis
Authors: Daggamseh1 Abdallah M.K. , Robinson Richard , Dukic Ivo 
Published: August 2022

Aim: This study aims to evaluate the interpretation accuracy of urology trainees in reporting computed tomography of the kidneys, ureters, and bladder (CT-KUB) compared with the formal radiology reports in patients with suspected acute nephrolithiasis. Methods: A sample of 12 consecutive CT-KUB scans for suspected acute nephrolithiasis was prospectively compiled and displayed using a software PACS viewer. 11 urology trainees, with an average of 24 months of urology specialist training, interpreted each scan. A total of 132 urology trainees’ reports were compared to the formal radiology reports for agreement in detecting key findings (presence or absence of stone disease), signs of urinary tract obstruction, clinically significant findings, and clinically non-significant findings. Results: There was a high level of agreement between urology trainees and radiologists for detecting key findings (98.4%) and clinically significant abnormalities (72.7%). There was less agreement in detecting all signs of urinary tract obstruction (56.2%) and non-clinically significant findings (36.8%). Conclusion: This study shows that urology trainees can accurately report CT KUB studies for key findings and clinically significant abnormalities. This may improve ongoing acute management and early patient discharge. However, their findings should be verified against formal radiological reports.
Is Group and Saving Before the Modern Bipolar Transurethral Resection of the Prostate Still Necessary?
Authors: Kretzmer Leo , Damola Adebiyi , Libotte Chloe , Ehsanullah Syed Ali , Jones Adam , Apakama Ike 
Published: August 2022

Introduction: Group and save (G&S) sampling is commonplace for patients undergoing transurethral resection of the prostate (TURP) due to the historically high risk of bleeding. However, modern adjustments to the procedure, including the advent of bipolar TURP in saline, have significantly reduced this risk. This study assessed whether routinely performing G&Ss before the modern TURP is still appropriate. Materials and Methods: This study was a retrospective review of all patients who underwent a TURP from January 2009 until December 2019 in one centre. A total of 687 patients were identified during this period. In addition, data was collected on G&S samples, blood products, and postoperative complications such as clot retention or if patients required a blood transfusion. Results: All patients had G&S samples taken before their operation. Only six (0.87%) patients required a blood transfusion. Half were transfused intra-operatively and half post-operatively. Remarkably, none of the transfused patients were below the National Institute for Health and Care Excellence (NICE) threshold to transfuse of <70g/L(8). Six patients were also noted to develop clot retention following the catheter removal. Discussion and Conclusion: This study has determined that patients undergoing a TURP rarely require blood transfusions. We propose that the practice of routinely taking G&S samples before this procedure should be reviewed. This would give a financial benefit and relieve patients of the unnecessary test. We would recommend thorough optimisation of patients before surgery, including review of anticoagulation and correction of any preoperative anaemia.
Determination of the Quality of Onion Seeds using Additive Ratio Assessment (ARAS) Method
Authors: Hutagalung Juniar , Ramadhan Mukhlis , Dahria Muhammad , Gunawan Rudi 
Published: August 2022

Rendahnya tingkat produksi bawang merah di Desa Paropo disebabkan penggunaan bibit yang kurang bermutu, sehingga produksi bawang merah yang dihasilkan masih jauh dibawah kebutuhan. Untuk mencapai tingkat kebutuhan bawang merah diperlukan bibit bawang merah yang berkualitas, agar dapat memberikan hasil panen yang optimal. Oleh karena itu diperlukan sebuah sistem yang dapat mempermudah para petani, salah satunya adalah menggunakan Sistem Pendukung Keputusan (SPK) dengan menerapkan metode Additive Ratio Assessment (ARAS). Tahapan metode ARAS dimulai dengan melakukan pengumpulan data kriteria, alternatif dan bobot penilaian. Selanjutnya menerapkan metode ARAS hingga diperoleh perangkingan nilai. Sampel data yang digunakan berjumlah 8 data dengan 5 kriteria yaitu tampilan bentuk, isi bibit, masa penyimpanan, ukuran dan tampilan kulit. Berdasarkan penelitian yang telah dilakukan maka diperoleh hasil bahwa untuk nilai keputusan dengan Ki tertinggi 0,951 yaitu B8, sebagai alternatif terbaik. Tujuan penelitian untuk menentukan kualitas bibit bawang merah berdasarkan kriteria yang sudah ditetapkan, sehingga para petani dapat memilih bibit yang tepat dan terbaik untuk ditanam agar memberikan hasil panen yang optimal dan petani tidak mengalami kerugian. Dengan adanya penelitian dapat memberikan referensi hasil keputusan sehingga membantu pihak terkait untuk mempermudah dalam penentuan kualitas bibit bawang merah.
Irrigation Control Using Fuzzy Logic on The Internet of Things Agriculture System
Authors: Prasetyo Angga , Litanianda Yovi , Fadelan Fadelan , Yusuf Arief Rahman , Sugianti Sugianti 
Published: August 2022

Cabai, sawi, tomat, selalu jadi tanaman favorit petani, walaupun butuh banyak air dan pekerja. Adaptasi kondisi itu dengan teknik bercocok tanam smart agriculture system (SAS) yang melibatkan teknologi seperti irigasi otomatis yang mengatur penyiraman hanya berdasarkan rutinitas tanpa memperhatikan kondisi lahan. Pengendalian seperti ini saat musim pancaroba bisa mengakibatkan kebusukan akar serta memicu penyakit fungisarium pada tanaman cabai. Solusinya, coba dihadirkan sistem yang melibatkan kecerdasan buatan seperti logika fuzzy berbentuk sebuah embedded system dengan pantauan internet of things (IoT). Logika fuzzy secara komputasi matematis akan mengatur irigasi berdasarkan kondisi kelembapan dan suhu lahan. Dimulai dengan tahap Fuzzyfikasi untuk memetakan input nilai suhu dan kelembapan dari sensor. Dilanjut dengan pembuatan Inference engine di mikrokontroler NodeMcu 8266 untuk mengartikan pernyataan rule fuzzy berbentuk agregasi kondisi minimum dengan operator AND, kemudian dikombinasikan dengan nilai set tunggal 0 dan 1 pada fuzzy sistem menjadi respon aktuator yang sesuai. Setelah keseluruhan sistem dijadikan purwarupa, maka dilakukan testing pengujian untuk mengetahui seberapa baik kode program fuzzy dapat merespon perubahan ekosistem lahan budidaya agriculture yang disimulasikan. Penelitian ini mendapati hasil bahwa kode program loggika fuzzy yang ditanamkan pada mikrokontroler nodeMCU8266 berhasil mengatur durasi penyemprotan yang dilakukan pompa sebagai respon berbagai simulasi kondisi lingkungan dalam waktu 3,6 detik.
ANALISIS PENJUALAN AIR MINUM ISI ULANG PERSPEKTIF KOMPILASI HUKUM EKONOMI SYARIAH
Authors: Irmayani Irmayani , Hanafi Suhri , Taufik Muhammad 
Published: August 2022

This study discusses the analysis of the sale of refilled drinking water at a drinking water depot in the city of Palu named N3 in terms of the perspective of sharia economic law. The type of research used is normative research using empirical data, namely the practice of selling refill drinking water. The results of this study explain that sales made at the N3 refill drinking water depot use a marketing mix strategy consisting of brand creation, pricing, distribution, and promotion. Sales made by the N3 refill drinking water depot when analyzed using the perspective of sharia economic law on the subject and object aspects have defects in terms of objects that can be resolved by means of khiyar contracts. While in the aspect of the contract, the sale and purchase is illegal because it conflicts with article 26 paragraph 2 contained in the Sharia Economic Law Compilation (KHES) which also does not comply with the laws and regulations, namely the Decree of the Minister of Industry and Trade of the Republic of Indonesia Number 651/MPP /kep/10/2004. So in terms of the legal contract, the practice of buying and selling water at the N3 depot is included in the fasad contract.
Abstrak
Penelitian ini membahas analisis penjualan air minum isi ulang pada salah satu depot air minum di kota Palu bernama N3 ditinjau dari perspektif hukum ekonomi syariah. Jenis penelitian yang digunakan adalah penelitian normatif dengan menggunakan data empiris yakni praktik penjualan air minum Isi Ulang. Penelitian ini menghasilkan bahwa penjualan yang dilakukan pada depot air minum isi ulang N3 menggunakan strategi marketing mix yang terdiri atas penciptaan merek, penetapan harga, pendistribusian, dan promosi. Penjualan yang dilakukan oleh depot air minum isi ulang N3 jika dianalisis menggunakan perspektif hukum ekonomi syariah pada aspek subjek dan objeknya terdapat cacat pada segi objeknya yang dapat diselesaikan dengan cara akad khiyar. Sedang pada aspek akadnya, jual-beli yang dilakukan tidak sah sebab berbenturan pada pasal 26 ayat 2 yang terdapat dalam Kompilasi Hukum Ekonomi Syariah (KHES) yang mana juga tidak mematuhi peraturan perundang-undangan yakni Keputusan Menteri Perindustrian dan Perdagangan Republik Indonesia Nomor 651/MPP/kep/10/2004. Maka dari segi akad hukum praktik jual beli air pada depot N3 termasuk kedalam akad fasad
Copyright protection of original online music products based on applied statistical mathematics – take music trade network as an example
Authors: Jiang Tao , Dai Keqing , Khader Moaiad 
Published: August 2022

Abstract
With globalization and the rapid evolution of internet, the channels of music communication have become diversified. The communication speed of online music has become faster, and the music-related information is enriched on the internet. However, these positive effects on music communication also increase the complexity of music copyright issues. In face of the great challenges on music copyright issues, this paper takes the online original music works trading platform, namely music trading network as the research object, and uses some mathematical methods, such as statistical theory, power function law and long tail theory, to discuss the copyright protection of the music trading network. Our motivation is to find a way to protect the copyright of original music product so as to stimulate the enthusiasm of musicians, as well as to help find a way to create a healthy original music ecosystem.
Prediction of surface quality in end milling based on modified convolutional recurrent neural network
Authors: Guan Wei , Liu Changjie , dmoor Ayman Al 
Published: August 2022

Abstract
The quality of the milled surface affects the performance of the affiliated workpiece, since it plays a vital role in determining the precision of the geometry and duration of service time. In this paper, a modified convolution recurrent neural network (CRNN) is proposed to effectively predict the surface quality of the end milling workpiece. First, the validated features of milling force data in the machining process are extracted based on the proposed artificial network model. Second, a modified CRNN model is constructed by merging residual neural network with the help of bidirectional long- and short-term memory as well as attention mechanism. Third, the model’s weight is optimised according to the changes in the loss function and directional propagation principle, which significantly improves the effectiveness of the proposed model. Finally, the actual experiment is carried out on a 5-axis milling centre to validate our model. Also, the surface quality predicted by the CRNN model is in good accordance with the experimental result. In our experiment, an accuracy of 98.35% is achieved, which is a significant improvement compared to the classic CRNN method.
Research on sustainable design of sports centre based on algorithm verification
Authors: Hou Ye , Wang Shaobin , Shang Jin , Daria Lisaia , Elzefzafy Hend 
Published: August 2022

Abstract
In the process of urbanisation in China, many cities expect to promote the development of new towns through the construction of sports centres. However, due to the unreasonable design of the scale, accessibility and vitality of the sports centre, the catalyst effect of the sports centre is difficult to play an effective role. Using cluster analysis algorithm and spatial syntax, this study analyses the algorithm of sports centres with sustainable development characteristics, and puts forward the conclusions of sustainable development planning strategies such as venue merger design under the principle of intensive, maintaining high accessibility of sports centres, ensuring the compound function of surrounding plots and grid space to improve regional vitality, in order to provide some inspiration for the planning and construction of Sports Centre in the future.
A new variety from Sichuan, China—Paris polyphylla var. nullopetalina (Trilliaceae)
Authors: Ying Yuan , Jian-Lin Liu 
Published: August 2022

Abstract
This paper succinctly describes and then illustrates the species Paris polyphylla Smith var. nullopetalina J. L. Liu et Y. Yuan, which is a new variety of Trilliaceae found in Sichuan Province in Southwestern China. It is closely related to Paris polyphylla Smith var. panxiensis J. L. Liu, Paris polyphylla Smith var. stenophylla Franch and Paris polyphylla Smith var. minora S. F. Wang. The distinguishing features that can be used to identify this variety are as follows: the leaf blade is narrowly long, fasciate and crisped-margined, but differs in having leaves that are sessile, with petals absent, ovary tetragonal, and stigma erect and never curved.
Towards more efficient control of the ironmaking blast furnace: modelling gaseous reduction of iron ores in H2-N2 atmosphere
Authors: Yao Shuo , Che Yuman , Mohamed Hamdy 
Published: August 2022

Abstract
The fraction of hydrogen (H2) in the blast furnace (BF) shaft gas containing a notable portion of nitrogen (N2) is expected to increase. For more efficient control of the BF, it is therefore desirable to conduct more rigorous studies on gaseous reduction of iron ores especially in H2-N2 atmosphere. In this paper, an unreacted shrinking core model (USCM) with multicomponent gas diffusion for iron ore reduction in H2-N2 atmosphere is developed. The resultant nonlinear equations are solved using the 4th order Runge-Kutta method. The present model and the original USCM are compared based on a series of pertinent experimental data.
Algorithm of overfitting avoidance in CNN based on maximum pooled and weight decay
Authors: Li Guanzhan , Jian Xiangcheng , Wen Zhicheng , AlSultan Jamal 
Published: August 2022

Abstract
This paper aims to eradicate the poor performance of the convolutional neural network (CNN) for intelligent analysis and detection in samples. Moreover, to avoid overfitting of the CNN model during the training process, an algorithm is proposed for the fusion of maximum pooled and weight decay. Firstly, the maximum pooled method for the pooling layer is explored after mask processing to reduce the number of irrelevant neurons. Secondly, when updating the neuron weight parameters, the weight decay is introduced to further cut down complexity in model training. The experimental comparison shows that the overfitting avoidance algorithm can reduce the detection error rate by more than 10% in image detection than other methods, and it has better generalisation.
Employment and Professional Education Training System of College Graduates Based on the Law of Large Numbers
Authors: Shang Zhe , Wang PengYuan , Ebrahim Ragab , Rashid Audil 
Published: August 2022

Abstract
The article uses the law of large numbers to analyze and uses the equivalence relationship on the data set to measure the degree of uncertainty of knowledge. In this way, we can analyze the relationship between the employment of graduates from colleges and universities and professional education training. The article describes several collective category models of college graduates’ employment rate and enrollment scale. This can provide an important theoretical reference for solving the actual social problems related to employment and enrollment.
Research on Lightweight Injection Molding (CAE) and Numerical Simulation Calculate of New Energy Vehicle
Authors: Pang Longfeng , Zhang Chaoshan , Dong Hongxing , Liu Yehong 
Published: August 2022

Abstract
In this paper, the new energy automobile front-end frame of a factory is taken as the research object, the polypropylene plastic is used to replace the traditional sheet metal material, and the hyper mesh is used to load the front-end frame’s six loading loads, which are the locking limit tension and the cushion impact force, respectively, pedestrian impact strength, condenser support strength, radiator support strength, oil cooler support strength, ensure to achieve certain mechanical properties before production. The maximum warpage deformation is 1.023 mm by mold flow analysis with Moldflow. It does not meet the needs of manufacturers, so it is necessary to optimize the process parameters. We use the mold temperature, melt temperature, holding pressure, injection time, and holding time as test factors, and take the amount of warpage as the optimization goal. Then this paper uses the orthogonal test method to design the test plan and establishes 25 groups of 5-level 5-factor orthogonal tests. Moreover, the effect of the deformation on the warpage is analyzed. These are all to obtain the minimum warpage deformation and find the optimal combination of process parameters. Verification by numerical simulation shows that the warpage is reduced to 0.632 mm. By analyzing the range and variance, the combination of process parameters is optimized, and the warpage is effectively reduced. In the premise of satisfying mechanical properties, plastic instead of steel, to achieve a lightweight design. It provides correct theoretical guidance for setting the actual injection molding process parameters.